Datasets:

YuvrajSingh9886
/

jetson-non-reasoning-benchmark-maxn

model stringclasses 8 values	quant stringclasses 2 values	prompt_tokens int64 128 2.05k	gen_tokens int64 64 256	isl_avg float64 128 2.05k	osl_avg float64 41.3 256	osl_mismatch_pct float64 -42.6 0.2	ttft_avg_ms float64 36.3 1.01k	ttft_p50_ms float64 35.9 1.01k	ttft_p90_ms float64 36.7 1.01k	ttft_p99_ms float64 41.8 1.02k	t2t_avg_ms float64 7.94 25.2	t2t_p50_ms float64 7.9 25.1	t2t_p90_ms float64 8.17 25.5	t2t_p99_ms float64 8.34 25.9	itl_avg_ms float64 5.46 22.6	itl_p50_ms float64 5.44 22.6	itl_p90_ms float64 5.51 22.7	itl_p99_ms float64 5.64 22.7	toks_per_sec float64 44.2 183	req_per_sec float64 0.15 2.65	e2e_toks_per_sec_avg float64 27.5 176	e2e_toks_per_sec_p50 float64 27.5 179	e2e_toks_per_sec_p90 float64 27.6 182	e2e_toks_per_sec_p99 float64 27.6 183	req_latency_avg_ms float64 372 6.66k	req_latency_p50_ms float64 378 6.66k	req_latency_p90_ms float64 382 6.69k	req_latency_p99_ms float64 417 6.7k	prefill_toks_per_sec_avg float64 1.08k 6.41k	prefill_toks_per_sec_p50 float64 1.09k 6.43k	prefill_toks_per_sec_p90 float64 1.09k 6.44k	prefill_toks_per_sec_p99 float64 1.09k 6.47k	power_w float64 2.12 8.02	avg_cpu_temp_c float64 48.4 59.4	avg_gpu_temp_c float64 50.5 61.6	peak_tj_temp_c float64 53.3 69.5	tok_per_joule float64 6.53 49.2	request_count dict	benchmark_duration_s dict	start_time stringdate 2026-05-26 04:46:09 2026-05-26 18:02:01	end_time stringdate 2026-05-26 04:46:16 2026-05-26 18:04:14
gemma3-1b	Q4_K_M	128	64	128	63.35	-1.015625	118.388222	117.123797	117.851336	136.706312	24.016715	24.77913	24.89353	24.945749	22.385627	22.384733	22.427546	22.443501	44.671592	0.658277	41.834083	41.884509	41.942173	41.947228	1,514.10209	1,527.44762	1,530.119658	1,544.703497	1,082.963693	1,092.860777	1,095.740076	1,095.839182	6.218258	59.409217	61.615671	67	7.18394	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 30.382336016000004 }	2026-05-26T17:41:11.770410	2026-05-26T17:41:42.158028
gemma3-1b	Q4_K_M	512	64	512	64.05	0.078125	282.19828	275.870002	280.168824	366.576545	24.912091	24.854641	25.176442	25.455262	22.369243	22.375224	22.430171	22.468909	44.704856	0.589469	37.84998	37.960563	37.994722	38.442638	1,692.562567	1,686.211944	1,691.866491	1,781.093395	1,824.048425	1,855.946631	1,858.037594	1,860.920722	6.218258	59.409217	61.615671	67	7.18929	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 33.928829058000005 }	2026-05-26T17:42:04.506514	2026-05-26T17:42:38.440541
gemma3-1b	Q4_K_M	1,024	64	1,024	64	0	489.655802	487.913187	493.533797	507.930942	25.115843	25.104401	25.319933	25.560208	22.594042	22.593214	22.626042	22.710676	44.25961	0.521669	33.45421	33.481909	33.549741	33.562477	1,913.080418	1,911.480005	1,918.847954	1,929.432784	2,091.512828	2,098.734126	2,103.473559	2,107.974174	6.218258	59.409217	61.615671	67	7.117687	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 38.338467959 }	2026-05-26T17:43:01.416981	2026-05-26T17:43:39.761289
gemma3-1b	Q4_K_M	2,048	64	2,048	64	0	900.69459	899.410919	904.78083	908.961067	25.190211	25.134764	25.453616	25.669567	22.618328	22.614094	22.654934	22.678386	44.212023	0.429243	27.519311	27.532578	27.567888	27.584408	2,325.649224	2,324.519115	2,333.372107	2,336.126848	2,273.828863	2,277.045964	2,280.036045	2,282.628918	6.218258	59.409217	61.615671	67	7.110034	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 46.593651526 }	2026-05-26T17:44:01.375714	2026-05-26T17:44:47.974786
gemma3-1b	Q4_K_M	128	128	128	126.75	-0.976563	117.356941	116.933516	117.472095	123.00495	24.768619	24.759842	24.83886	25.204181	22.354895	22.343723	22.376607	22.625824	44.733524	0.34081	43.279842	43.312963	43.364627	43.497094	2,928.505334	2,954.343969	2,959.238847	2,964.042084	1,090.886041	1,094.639121	1,096.941131	1,098.132549	6.218258	59.409217	61.615671	67	7.1939	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 58.683757936000006 }	2026-05-26T17:45:09.260192	2026-05-26T17:46:07.950851
gemma3-1b	Q4_K_M	512	128	512	128	0	276.273434	275.202174	278.801819	286.638153	24.88816	24.865485	25.022106	25.581507	22.378897	22.373591	22.450568	22.487891	44.685186	0.320204	41.047045	41.067045	41.118804	41.26655	3,118.393417	3,116.854412	3,132.343834	3,133.761292	1,853.461547	1,860.450435	1,864.252109	1,866.452038	6.218258	59.409217	61.615671	67	7.186127	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 62.460261585000005 }	2026-05-26T17:46:29.166819	2026-05-26T17:47:31.634123
gemma3-1b	Q4_K_M	1,024	128	1,024	128	0	488.169278	486.937298	492.157805	495.512073	25.091459	25.047848	25.233753	25.917336	22.526129	22.505452	22.609555	22.733753	44.393561	0.298167	38.221072	38.262697	38.306897	38.561344	3,348.964392	3,345.294811	3,359.762915	3,365.14152	2,097.694387	2,102.940405	2,105.734184	2,107.18104	6.218258	59.409217	61.615671	67	7.139228	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 67.076394952 }	2026-05-26T17:48:11.556457	2026-05-26T17:49:18.638851
gemma3-1b	Q4_K_M	2,048	128	2,048	127.95	-0.039063	896.945756	895.688945	901.58485	906.547838	24.87248	24.871243	25.045471	25.235997	22.440859	22.396964	22.586797	22.62388	44.56213	0.266619	34.15856	34.226377	34.245002	34.256152	3,745.805204	3,739.805702	3,763.410367	3,776.086429	2,283.339456	2,286.508071	2,290.281953	2,291.336378	6.218258	59.409217	61.615671	67	7.166337	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 75.01328256500001 }	2026-05-26T17:49:40.113909	2026-05-26T17:50:55.133560
gemma3-1b	Q4_K_M	128	256	128	245.5	-4.101563	117.400956	117.019672	117.646207	122.997327	24.573275	24.584058	24.677313	24.811414	22.225972	22.203795	22.295896	22.33701	44.992599	0.179894	44.102572	44.297139	44.327986	44.334985	5,551.517721	5,777.667459	5,808.289967	5,813.582728	1,090.470761	1,093.833283	1,096.211138	1,098.598292	6.218258	59.409217	61.615671	67	7.235564	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 111.17633251400001 }	2026-05-26T17:51:16.300791	2026-05-26T17:53:07.484250
gemma3-1b	Q4_K_M	512	256	512	256	0	277.326467	276.390245	279.872737	284.695562	24.897977	24.904597	25.037988	25.241415	22.434368	22.436295	22.45028	22.45739	44.574487	0.166542	42.68026	42.674524	42.708273	42.717519	5,998.090288	5,998.895222	6,001.271927	6,002.671926	1,846.346339	1,852.453247	1,856.002578	1,856.724117	6.218258	59.409217	61.615671	67	7.168324	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 120.089978493 }	2026-05-26T17:57:14.282517	2026-05-26T17:59:14.379647
gemma3-1b	Q4_K_M	1,024	256	1,024	255.95	-0.019531	487.53699	486.771549	490.300149	494.358208	24.987259	25.016404	25.089435	25.12194	22.506541	22.49164	22.55523	22.707183	44.431878	0.160462	41.112968	41.141848	41.187743	41.251608	6,225.568616	6,222.374874	6,238.15673	6,265.485659	2,100.40028	2,103.656266	2,108.324342	2,110.587634	6.218258	59.409217	61.615671	67	7.14539	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 124.6399188 }	2026-05-26T17:59:35.759824	2026-05-26T18:01:40.407788
gemma3-1b	Q4_K_M	2,048	256	2,048	255.95	-0.019531	900.248599	899.226232	904.34022	908.888507	25.096737	25.133908	25.246451	25.69112	22.601541	22.587092	22.684427	22.723047	44.244996	0.149939	38.416634	38.441346	38.486534	38.548731	6,662.50757	6,659.496317	6,685.306657	6,695.732082	2,274.952897	2,277.513723	2,280.987788	2,283.040148	6.218258	59.409217	61.615671	67	7.115337	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 133.387384607 }	2026-05-26T18:02:01.815935	2026-05-26T18:04:15.210690
lfm2.5-1.2b	Q4_K_M	128	64	128	64	0	118.279461	117.84651	118.949959	123.748703	19.998801	19.991186	20.234655	20.710713	18.699391	18.700416	18.764569	18.779679	53.477984	0.768746	49.370045	49.384848	49.517707	49.579925	1,296.341069	1,295.944062	1,300.192837	1,303.520777	1,082.375938	1,086.158801	1,090.689982	1,092.532507	8.020807	55.925123	58.649877	63.531	6.667407	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 26.016404329 }	2026-05-26T05:21:49.792276	2026-05-26T05:22:15.815071
lfm2.5-1.2b	Q4_K_M	512	64	512	63.95	-0.078125	303.774869	302.397927	303.125822	325.528111	20.115053	20.111309	20.351471	20.792238	18.757046	18.745338	18.811202	18.965525	53.314018	0.671621	43.079143	43.141071	43.253636	43.278965	1,484.519201	1,483.50514	1,487.230839	1,504.537601	1,686.106856	1,693.133328	1,697.609999	1,699.369891	8.020807	55.925123	58.649877	63.531	6.646965	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 29.778702475000003 }	2026-05-26T05:22:35.677966	2026-05-26T05:23:05.463290
lfm2.5-1.2b	Q4_K_M	1,024	64	1,024	63.9	-0.15625	539.154617	538.568994	540.115943	547.760085	20.067125	20.067372	20.344629	20.600028	18.852437	18.837273	18.959521	19.134336	53.045097	0.578207	37.044699	37.079158	37.187769	37.265904	1,724.949206	1,725.379587	1,731.600014	1,732.280407	1,899.310385	1,901.335011	1,904.896654	1,905.624645	8.020807	55.925123	58.649877	63.531	6.613437	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 34.589686172 }	2026-05-26T05:23:25.509695	2026-05-26T05:24:00.105731
lfm2.5-1.2b	Q4_K_M	2,048	64	2,048	63.95	-0.078125	1,012.322752	1,011.93286	1,013.658504	1,020.715043	20.353006	20.378136	20.605634	20.663019	19.092742	19.075725	19.141619	19.349712	52.376783	0.450717	28.881854	28.916693	28.934388	28.952482	2,214.196161	2,213.254488	2,219.172937	2,219.580707	2,023.082891	2,023.849696	2,026.683642	2,027.193446	8.020807	55.925123	58.649877	63.531	6.530114	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 44.373748527000004 }	2026-05-26T05:24:20.048738	2026-05-26T05:25:04.429100
lfm2.5-1.2b	Q4_K_M	128	128	128	127.8	-0.15625	117.879821	117.338916	118.405536	124.265778	19.902287	19.913073	20.147813	20.217761	18.721589	18.682497	18.846804	18.961082	53.415465	0.400471	51.289769	51.387545	51.465915	51.493749	2,491.736898	2,490.050389	2,498.602332	2,505.745032	1,086.099898	1,090.857351	1,095.518731	1,096.550291	8.020807	55.925123	58.649877	63.531	6.659613	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 49.941219547 }	2026-05-26T05:25:24.297805	2026-05-26T05:26:14.246059
lfm2.5-1.2b	Q4_K_M	512	128	512	127.85	-0.117188	303.124119	302.784677	303.721425	310.292485	19.96483	19.977658	20.106732	20.175354	18.751755	18.724072	18.850608	18.945419	53.329085	0.372162	47.674072	47.711467	47.828448	47.872409	2,681.762524	2,680.638644	2,688.636902	2,691.846828	1,689.157027	1,690.970789	1,697.490479	1,698.468387	8.020807	55.925123	58.649877	63.531	6.648843	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 53.740013499 }	2026-05-26T05:26:34.173278	2026-05-26T05:27:27.920750
lfm2.5-1.2b	Q4_K_M	1,024	128	1,024	127.85	-0.117188	539.780255	539.339713	541.357833	546.098261	20.093668	20.163846	20.224053	20.28391	18.848223	18.832453	18.899801	19.006156	53.055873	0.340588	43.62504	43.652352	43.733472	43.76388	2,930.654292	2,931.984858	2,936.820913	2,937.982428	1,897.093253	1,898.617971	1,902.491237	1,903.961273	8.020807	55.925123	58.649877	63.531	6.61478	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 58.722001798 }	2026-05-26T05:27:47.836920	2026-05-26T05:28:46.565850
lfm2.5-1.2b	Q4_K_M	2,048	128	2,048	127.85	-0.117188	1,010.023129	1,009.389406	1,011.311575	1,018.697724	20.278862	20.276001	20.507615	20.660286	19.061495	19.04861	19.169021	19.208433	52.462274	0.291264	37.296313	37.325908	37.382787	37.398426	3,427.954422	3,428.437058	3,432.659109	3,433.372807	2,027.689691	2,028.949374	2,031.427828	2,031.643614	8.020807	55.925123	58.649877	63.531	6.540773	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 68.66613387700001 }	2026-05-26T05:29:06.466526	2026-05-26T05:30:15.139667
lfm2.5-1.2b	Q4_K_M	128	256	128	243.55	-4.863281	118.054118	117.553372	118.695231	123.947613	20.001693	19.968554	20.31113	20.332884	18.69749	18.698438	18.73855	18.746929	53.483235	0.214534	52.233563	52.398135	52.466113	52.56932	4,652.519682	4,884.458647	4,891.124211	4,896.931931	1,084.457411	1,088.867107	1,091.147293	1,091.884893	8.020807	55.925123	58.649877	63.531	6.668062	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 93.22526195 }	2026-05-26T05:30:35.011759	2026-05-26T05:32:08.244826
lfm2.5-1.2b	Q4_K_M	512	256	512	255.7	-0.117188	303.714258	303.166445	304.848788	310.184533	20.04205	20.090673	20.215071	20.357734	18.751173	18.741506	18.8305	18.864171	53.330395	0.19659	50.338569	50.367904	50.45299	50.517661	5,079.609358	5,079.12769	5,087.45072	5,091.953417	1,685.861786	1,688.841265	1,693.236306	1,695.089836	8.020807	55.925123	58.649877	63.531	6.649006	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 101.73478842200001 }	2026-05-26T05:32:28.252167	2026-05-26T05:34:09.995326
lfm2.5-1.2b	Q4_K_M	1,024	256	1,024	255.95	-0.019531	540.106763	539.400931	541.611207	548.107099	20.099517	20.117112	20.234159	20.345711	18.850319	18.836685	18.900102	18.993779	53.049922	0.186805	47.877294	47.917748	47.983705	48.084924	5,345.976033	5,342.538243	5,357.531795	5,370.714506	1,895.95941	1,898.402417	1,902.222389	1,902.957288	8.020807	55.925123	58.649877	63.531	6.614038	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 107.06333893600001 }	2026-05-26T05:34:30.197261	2026-05-26T05:36:17.268853
lfm2.5-1.2b	Q4_K_M	2,048	256	2,048	256	0	1,008.047908	1,007.183551	1,009.291675	1,017.928338	20.170489	20.152298	20.590188	20.910949	19.000522	18.992948	19.026705	19.151858	52.630451	0.170631	43.737076	43.755662	43.78627	43.879966	5,853.18097	5,850.671375	5,860.739815	5,889.481898	2,031.666447	2,033.393019	2,035.618139	2,036.7607	8.020807	55.925123	58.649877	63.531	6.56174	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 117.21203886800001 }	2026-05-26T05:36:37.176255	2026-05-26T05:38:34.396772
lfm2.5-350m	Q4_K_M	128	64	128	64	0	52.046756	51.634421	52.253874	58.061377	9.601765	9.494435	10.273619	10.395702	8.370966	8.332158	8.406908	8.816322	119.486299	1.712814	110.478575	110.993605	111.280737	111.359462	579.417616	576.60988	582.194347	608.759823	2,461.667527	2,478.966585	2,494.942316	2,503.184294	5.510285	49.536183	51.920459	56.843	21.684232	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 11.676690771 }	2026-05-26T05:11:25.560450	2026-05-26T05:11:37.244502
lfm2.5-350m	Q4_K_M	512	64	512	63.1	-1.40625	128.938127	126.048107	127.922555	170.446647	9.857405	9.901293	10.144588	10.929971	8.497683	8.482838	8.5064	8.776653	117.689294	1.512052	96.083939	96.877927	97.252358	97.324403	656.656447	660.061888	662.831515	723.192067	3,995.376144	4,061.941229	4,080.865694	4,084.132548	5.510285	49.536183	51.920459	56.843	21.358114	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 13.227060607 }	2026-05-26T05:11:57.410585	2026-05-26T05:12:10.644386
lfm2.5-350m	Q4_K_M	1,024	64	1,024	64	0	217.815411	217.232711	219.244641	223.990495	9.881597	9.930462	10.122725	10.210017	8.612617	8.611922	8.646878	8.670131	116.109828	1.307431	84.166289	84.225157	84.543738	84.64498	760.410282	759.867978	763.166033	768.067266	4,701.578437	4,713.839204	4,727.008775	4,740.640431	5.510285	49.536183	51.920459	56.843	21.071474	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 15.297179127000001 }	2026-05-26T05:12:30.698729	2026-05-26T05:12:46.002655
lfm2.5-350m	Q4_K_M	2,048	64	2,048	62.65	-2.109375	396.486004	396.069312	397.670102	401.928618	10.042316	10.069569	10.343133	10.700694	8.882208	8.867953	8.939712	9.089134	112.591431	1.05361	66.180482	67.017199	67.188806	67.342027	944.041441	954.810873	959.854734	968.138302	5,165.467397	5,170.812124	5,181.653833	5,186.117933	5.510285	49.536183	51.920459	56.843	20.43296	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 18.982355796 }	2026-05-26T05:13:06.287896	2026-05-26T05:13:25.277318
lfm2.5-350m	Q4_K_M	128	128	128	112.95	-11.757813	52.648323	52.19626	53.505932	58.6015	9.532972	9.545239	9.891781	10.225998	8.452105	8.388836	8.640516	8.99674	118.370296	1.001245	108.201594	114.41849	115.11605	115.926406	992.455316	1,115.823456	1,122.985999	1,146.529896	2,433.744328	2,452.283737	2,484.463604	2,491.857876	5.510285	49.536183	51.920459	56.843	21.481701	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 19.975131315000002 }	2026-05-26T05:13:45.199060	2026-05-26T05:14:05.181234
lfm2.5-350m	Q4_K_M	512	128	512	122.35	-4.414063	126.477658	126.068388	127.60053	133.153834	9.711428	9.753005	10.065707	10.29563	8.444018	8.426385	8.503354	8.577626	118.431249	0.865012	104.727262	107.042978	107.304449	107.415828	1,150.394397	1,194.657173	1,202.273041	1,218.508487	4,049.098217	4,061.287751	4,093.984633	4,101.657304	5.510285	49.536183	51.920459	56.843	21.492763	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 23.121066632 }	2026-05-26T05:14:25.384081	2026-05-26T05:14:48.512459
lfm2.5-350m	Q4_K_M	1,024	128	1,024	127.9	-0.078125	217.092996	216.54666	218.138035	223.914054	9.868846	9.818431	10.190291	10.713298	8.559548	8.547182	8.626757	8.660687	116.831687	0.7641	98.137983	98.302041	98.564153	98.903944	1,303.290652	1,302.109387	1,310.48297	1,313.596674	4,717.264872	4,728.773462	4,744.900212	4,748.270468	5.510285	49.536183	51.920459	56.843	21.202476	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 26.174575234000002 }	2026-05-26T05:15:08.606452	2026-05-26T05:15:34.788133
lfm2.5-350m	Q4_K_M	2,048	128	2,048	118.95	-7.070313	395.584562	394.711669	397.569211	403.948893	9.939492	9.921586	10.288902	10.457576	8.818285	8.806138	8.879389	8.934536	113.405206	0.693575	81.125679	84.494667	84.815901	85.010473	1,435.03849	1,512.628928	1,518.388772	1,536.529468	5,177.363236	5,188.598051	5,199.089362	5,205.294639	5.510285	49.536183	51.920459	56.843	20.580643	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 28.836118577 }	2026-05-26T05:15:54.996141	2026-05-26T05:16:23.839662
lfm2.5-350m	Q4_K_M	128	256	128	229.85	-10.214844	52.083259	51.624072	53.10987	57.535324	9.535478	9.506762	9.699355	10.470433	8.394814	8.368498	8.463255	8.624786	119.131367	0.504728	115.295676	116.955834	117.546142	117.659161	1,973.320148	2,180.767271	2,196.890671	2,255.010119	2,459.775331	2,479.463547	2,507.271026	2,513.267731	5.510285	49.536183	51.920459	56.843	21.61982	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 39.625309525000006 }	2026-05-26T05:16:43.827720	2026-05-26T05:17:23.469451
lfm2.5-350m	Q4_K_M	512	256	512	223.8	-12.578125	125.826784	125.1999	126.620317	133.132965	9.606056	9.575004	9.855157	10.594005	8.44824	8.439732	8.474036	8.543599	118.369838	0.496064	109.023702	112.2685	112.617786	112.718296	2,007.224517	2,276.03316	2,280.483133	2,284.906681	4,070.137885	4,089.460231	4,098.872932	4,099.65552	5.510285	49.536183	51.920459	56.843	21.481618	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 40.317386286 }	2026-05-26T05:17:43.518540	2026-05-26T05:18:23.844120
lfm2.5-350m	Q4_K_M	1,024	256	1,024	251	-1.953125	217.349049	216.769908	218.10267	224.507301	9.711116	9.72104	10.204596	10.720723	8.59463	8.587513	8.628516	8.697347	116.353691	0.421255	106.009861	106.357095	106.589193	106.741299	2,366.021354	2,404.872464	2,409.618567	2,424.292073	4,711.742719	4,723.903037	4,738.154611	4,744.622101	5.510285	49.536183	51.920459	56.843	21.11573	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 47.477158438000004 }	2026-05-26T05:18:43.948748	2026-05-26T05:19:31.434484
lfm2.5-350m	Q4_K_M	2,048	256	2,048	244.85	-4.355469	396.014941	395.382891	397.503409	403.048685	9.903946	9.927097	10.034857	10.134967	8.859803	8.855209	8.898709	8.918497	112.870373	0.39008	94.115576	96.481603	96.675215	96.803292	2,555.824905	2,652.154642	2,664.439647	2,671.0807	5,171.676873	5,179.789335	5,193.24007	5,197.987767	5.510285	49.536183	51.920459	56.843	20.483582	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 51.271510272 }	2026-05-26T05:19:51.563871	2026-05-26T05:20:42.843844
llama3.2-1b	Q4_K_M	128	64	128	64	0	96.175914	95.777665	96.521255	101.17139	19.446442	19.378255	19.601401	20.448455	18.324067	18.287363	18.35917	18.742133	54.57537	0.79733	51.17833	51.28153	51.350935	51.376979	1,250.592117	1,248.012692	1,252.709582	1,281.925797	1,331.167623	1,336.428512	1,338.918634	1,342.001608	5.002939	54.778687	57.033125	69.468	10.908662	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 25.083723412 }	2026-05-26T17:05:31.121500	2026-05-26T17:05:56.210183
llama3.2-1b	Q4_K_M	512	64	512	64	0	249.121873	248.667321	249.217563	255.880283	19.783832	19.808267	19.96796	20.13645	18.593943	18.605893	18.655953	18.748889	53.781667	0.702076	45.054	45.034821	45.255267	45.276405	1,420.540309	1,421.122575	1,424.099048	1,436.984555	2,055.337302	2,058.975815	2,061.966726	2,063.345661	5.002939	54.778687	57.033125	69.468	10.750015	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 28.486959814000002 }	2026-05-26T17:07:19.376218	2026-05-26T17:07:47.868369
llama3.2-1b	Q4_K_M	1,024	64	1,024	64	0	457.060347	456.370418	457.836839	464.404286	19.930446	19.929315	20.20166	20.294374	18.709828	18.703763	18.747297	18.76908	53.447952	0.609945	39.125215	39.143897	39.182187	39.210899	1,635.77951	1,634.993055	1,638.414424	1,645.342745	2,240.451744	2,243.791384	2,245.773937	2,247.179155	5.002939	54.778687	57.033125	69.468	10.683311	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 32.789864958 }	2026-05-26T17:09:57.111769	2026-05-26T17:10:29.907273
llama3.2-1b	Q4_K_M	2,048	64	2,048	63.9	-0.15625	886.651144	885.692215	888.367904	895.351568	20.01422	20.033741	20.11523	20.212755	19.090971	19.059124	19.087628	19.584981	52.383539	0.478155	30.612383	30.665918	30.701966	30.708197	2,087.412333	2,087.007521	2,089.371075	2,097.008494	2,309.835466	2,312.31569	2,314.693603	2,315.709735	5.002939	54.778687	57.033125	69.468	10.470554	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 41.827402217 }	2026-05-26T17:13:56.926022	2026-05-26T17:14:38.759062
llama3.2-1b	Q4_K_M	128	128	128	127.85	-0.117188	97.108122	96.484895	99.061747	101.794975	19.517105	19.531377	19.64593	19.843458	18.45732	18.44607	18.588229	18.592224	54.179727	0.409328	52.432188	52.472454	52.609404	52.747651	2,438.39913	2,438.858003	2,441.241452	2,450.113239	1,318.429075	1,326.63253	1,329.890567	1,333.82048	5.002939	54.778687	57.033125	69.468	10.82958	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 48.860571201000006 }	2026-05-26T17:19:57.112768	2026-05-26T17:20:45.979166
llama3.2-1b	Q4_K_M	512	128	512	127.9	-0.078125	249.413991	248.861619	249.7549	255.506993	19.872104	19.759051	20.053365	21.510332	18.621316	18.59557	18.716907	18.877017	53.702868	0.382095	48.958467	49.027814	49.097391	49.11899	2,612.440231	2,610.632343	2,617.083591	2,630.741855	2,052.912503	2,057.368283	2,060.522848	2,060.842053	5.002939	54.778687	57.033125	69.468	10.734264	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 52.342960079 }	2026-05-26T17:22:56.883168	2026-05-26T17:23:49.232197
llama3.2-1b	Q4_K_M	1,024	128	1,024	128	0	458.145771	457.699893	458.618057	463.476751	20.046356	20.084896	20.180445	20.279032	18.795408	18.788011	18.811846	18.921954	53.204699	0.350893	44.988776	45.006683	45.040551	45.070656	2,845.162618	2,844.022053	2,847.544122	2,861.476636	2,235.123358	2,237.273852	2,239.399384	2,241.40739	5.002939	54.778687	57.033125	69.468	10.634689	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 56.997406163 }	2026-05-26T17:24:09.721432	2026-05-26T17:25:06.724787
llama3.2-1b	Q4_K_M	2,048	128	2,048	127.9	-0.078125	888.305271	887.945863	890.316054	894.27731	20.212281	20.233583	20.381745	20.494959	19.153662	19.154361	19.226058	19.404855	52.21056	0.300867	38.537539	38.543692	38.691986	38.698171	3,318.881542	3,320.906551	3,329.861461	3,339.343151	2,305.526132	2,306.447073	2,311.079695	2,311.815176	5.002939	54.778687	57.033125	69.468	10.435978	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 66.47459956 }	2026-05-26T17:25:27.156076	2026-05-26T17:26:33.636871
llama3.2-1b	Q4_K_M	128	256	128	246.2	-3.828125	96.937156	96.65623	97.116502	101.517151	19.540365	19.556788	19.698996	19.743485	18.475712	18.449035	18.601208	18.635096	54.125892	0.215728	53.190233	53.317403	53.406461	53.487697	4,626.767938	4,799.563957	4,808.730492	4,834.728361	1,320.67093	1,324.28139	1,329.027608	1,332.134173	5.002939	54.778687	57.033125	69.468	10.81882	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 92.709388026 }	2026-05-26T17:29:25.944166	2026-05-26T17:30:58.660556
llama3.2-1b	Q4_K_M	512	256	512	256.05	0.019531	249.680822	249.094076	250.621572	255.093183	19.767151	19.696389	19.950486	20.757819	18.544761	18.530125	18.603597	18.662083	53.923935	0.200568	51.42096	51.466966	51.524372	51.635059	4,979.517988	4,975.168624	4,993.172014	5,013.617921	2,050.70314	2,055.448364	2,058.188908	2,060.031473	5.002939	54.778687	57.033125	69.468	10.778452	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 99.716666602 }	2026-05-26T17:31:19.060862	2026-05-26T17:32:58.784491
llama3.2-1b	Q4_K_M	1,024	256	1,024	255.95	-0.019531	458.373483	457.617936	460.040078	464.427921	19.975682	19.951721	20.178611	20.241184	18.764574	18.716945	18.881152	18.900967	53.292699	0.190525	48.823717	48.947999	48.966646	49.001272	5,242.39456	5,230.040151	5,272.566165	5,273.52288	2,234.025924	2,237.675124	2,241.138092	2,242.503655	5.002939	54.778687	57.033125	69.468	10.652279	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 104.972841063 }	2026-05-26T17:34:12.240820	2026-05-26T17:35:57.220979
llama3.2-1b	Q4_K_M	2,048	256	2,048	255.95	-0.019531	890.486591	890.497832	892.403985	893.632892	20.492768	20.332833	21.104749	21.172864	19.273266	19.255901	19.372045	19.418194	51.885949	0.172077	44.097691	44.142848	44.214153	44.299268	5,804.204639	5,798.175527	5,831.147075	5,841.641881	2,299.873151	2,299.837174	2,304.185991	2,308.233575	5.002939	54.778687	57.033125	69.468	10.371094	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 116.22731937600001 }	2026-05-26T17:38:03.854867	2026-05-26T17:40:00.089551
qwen2.5-0.5b	Q4_K_M	128	64	128	41.3	-35.46875	56.204486	55.814194	56.799912	60.389757	11.377829	11.370801	11.447054	11.871791	9.652847	9.603338	9.801613	9.903969	103.614873	2.214039	87.979842	94.668149	97.711061	98.015826	442.963417	527.691233	660.120594	676.134563	2,278.368092	2,293.323461	2,302.15629	2,305.662447	2.122977	50.163038	52.080668	62.843	48.806407	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 9.033262861 }	2026-05-26T14:54:24.249321	2026-05-26T14:54:33.288002
qwen2.5-0.5b	Q4_K_M	512	64	512	57.1	-10.78125	140.368526	140.076633	140.727059	145.106184	11.584423	11.483511	11.9295	12.046908	9.642189	9.593671	9.789908	9.973042	103.727054	1.4594	81.347264	85.946768	86.320409	86.438813	679.941656	743.26801	747.243007	765.025446	3,647.867466	3,655.142142	3,664.704143	3,671.001001	2.122977	50.163038	52.080668	62.843	48.859248	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 13.704262320000002 }	2026-05-26T14:54:52.962876	2026-05-26T14:55:06.672453
qwen2.5-0.5b	Q4_K_M	1,024	64	1,024	55.15	-13.828125	252.672391	252.141734	253.551571	258.764353	11.609166	11.559634	11.900658	12.345842	9.768262	9.739184	9.86045	10.029359	102.382786	1.267731	68.957045	73.465451	74.276071	74.386222	781.040028	861.301647	869.333991	871.540291	4,052.894035	4,061.208037	4,069.007405	4,085.143837	2.122977	50.163038	52.080668	62.843	48.226048	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 15.776216726000001 }	2026-05-26T14:55:26.139277	2026-05-26T14:55:41.921178
qwen2.5-0.5b	Q4_K_M	2,048	64	2,048	50.95	-20.390625	484.053466	483.533839	484.949416	491.113551	11.74407	11.667365	12.070208	12.12692	10.01011	9.924303	10.269156	10.365726	99.922729	1.01188	48.719138	57.612953	57.833527	57.937534	980.959269	1,106.898706	1,111.800377	1,116.739441	4,231.01451	4,235.48434	4,242.141807	4,243.484402	2.122977	50.163038	52.080668	62.843	47.067271	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 19.76518116 }	2026-05-26T15:03:30.257197	2026-05-26T15:03:50.028030
qwen2.5-0.5b	Q4_K_M	128	128	128	86.6	-32.34375	56.251982	55.767293	56.785405	61.428048	11.364823	11.337866	11.700434	11.710148	9.632119	9.570905	9.819296	10.019292	103.843218	1.130647	93.220439	99.689923	101.208995	101.955941	876.11367	1,257.807057	1,272.294374	1,302.459012	2,277.073945	2,295.253201	2,319.26478	2,329.638017	2.122977	50.163038	52.080668	62.843	48.913966	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 17.688989720000002 }	2026-05-26T15:59:29.602521	2026-05-26T15:59:47.297717
qwen2.5-0.5b	Q4_K_M	512	128	512	113.9	-11.015625	140.303778	139.802738	141.101652	145.221108	11.51627	11.463234	11.794752	11.999906	9.582191	9.562207	9.660345	9.827064	104.368991	0.815368	91.032797	94.454894	95.019415	95.210445	1,220.471972	1,351.127096	1,358.864995	1,366.603106	3,649.597694	3,662.303208	3,670.075133	3,676.905548	2.122977	50.163038	52.080668	62.843	49.161624	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 24.528791687000002 }	2026-05-26T16:00:06.837690	2026-05-26T16:00:31.380601
qwen2.5-0.5b	Q4_K_M	1,024	128	1,024	90.85	-29.023438	252.238647	251.879866	252.919082	257.76306	11.557394	11.540787	11.793585	12.321619	9.689943	9.687276	9.745128	9.892807	103.205368	0.884949	76.545043	83.746712	86.72994	87.087464	1,120.951772	1,287.464184	1,480.923512	1,485.902593	4,059.80881	4,065.430166	4,074.60159	4,080.502791	2.122977	50.163038	52.080668	62.843	48.613515	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 22.600175232 }	2026-05-26T16:00:50.989127	2026-05-26T16:01:13.603726
qwen2.5-0.5b	Q4_K_M	2,048	128	2,048	110.4	-13.75	484.028822	483.853708	484.752573	488.640354	11.729645	11.688421	12.09253	12.425337	9.919431	9.886396	9.993724	10.230485	100.822484	0.635691	66.807843	73.559199	73.814151	74.012622	1,566.155692	1,738.497329	1,743.595559	1,747.38788	4,231.187303	4,232.684319	4,239.459712	4,242.854384	2.122977	50.163038	52.080668	62.843	47.491089	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 31.461816622 }	2026-05-26T16:01:33.089064	2026-05-26T16:02:04.557067
qwen2.5-0.5b	Q4_K_M	128	256	128	147.3	-42.460938	56.170563	55.664713	56.597008	61.167926	11.306816	11.337012	11.635818	11.713001	9.654138	9.597576	9.852795	10.147978	103.613624	0.680317	94.874643	100.928701	102.835981	103.229126	1,459.389581	1,541.923005	2,498.596957	2,526.275585	2,280.18636	2,299.482168	2,312.921405	2,315.396059	2.122977	50.163038	52.080668	62.843	48.805818	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 29.398072886 }	2026-05-26T16:02:23.832250	2026-05-26T16:02:53.244773
qwen2.5-0.5b	Q4_K_M	512	256	512	163.35	-36.191406	140.527345	140.237414	141.202869	145.77528	11.480796	11.440778	11.810859	11.993294	9.646037	9.62521	9.711465	9.97378	103.681065	0.583693	89.374248	96.525703	98.770959	98.865322	1,702.816282	1,837.69053	2,600.442048	2,605.292764	3,643.837015	3,650.951552	3,670.446476	3,676.235057	2.122977	50.163038	52.080668	62.843	48.837585	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 34.264609512 }	2026-05-26T16:03:12.617571	2026-05-26T16:03:46.896811
qwen2.5-0.5b	Q4_K_M	1,024	256	1,024	163.5	-36.132813	252.565423	252.080958	253.055141	258.808062	11.627584	11.595195	11.883786	12.291929	9.782034	9.748782	10.007885	10.041271	102.240851	0.541964	80.576871	91.884913	93.836774	94.110854	1,834.741906	2,347.223332	2,741.253655	2,744.34288	4,054.593103	4,062.18704	4,068.129117	4,076.80989	2.122977	50.163038	52.080668	62.843	48.159192	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 36.902803384 }	2026-05-26T16:04:06.293629	2026-05-26T16:04:43.211243
qwen2.5-0.5b	Q4_K_M	2,048	256	2,048	175.45	-31.464844	484.807103	484.513573	485.550425	490.879897	11.680641	11.690975	11.885685	12.109779	9.950998	9.936047	10.031668	10.178496	100.498505	0.449256	70.167917	84.149157	84.964795	85.604362	2,215.558337	2,894.633934	3,017.520864	3,020.193729	4,224.422624	4,226.919814	4,235.588734	4,245.451059	2.122977	50.163038	52.080668	62.843	47.338483	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 44.518015515 }	2026-05-26T16:05:02.710566	2026-05-26T16:05:47.235805
qwen3-0.6b	Q8_0	128	64	128	61.95	-3.203125	101.924453	101.472092	102.698918	107.601213	15.79181	15.765409	15.848493	16.16795	15.829848	15.804592	15.890192	16.052554	63.173258	0.934171	58.075162	58.144412	58.333071	58.363094	1,066.742126	1,066.31076	1,068.610771	1,082.526998	1,256.137128	1,261.430581	1,267.647591	1,269.027514	2.978763	49.999873	52.030719	64.031	21.207884	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 21.40936275 }	2026-05-26T16:06:53.654974	2026-05-26T16:07:15.069772
qwen3-0.6b	Q8_0	512	64	512	62.05	-3.046875	229.117699	224.586411	225.678496	295.822205	16.504738	16.499214	16.588785	16.79223	16.484646	16.49067	16.524894	16.614303	60.663781	0.807042	50.23664	50.389147	50.454872	51.112375	1,235.491171	1,230.423681	1,232.955621	1,308.962756	2,246.164166	2,279.746197	2,283.374951	2,286.322674	2.978763	49.999873	52.030719	64.031	20.365428	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 24.781862104000002 }	2026-05-26T16:07:34.626151	2026-05-26T16:07:59.413924
qwen3-0.6b	Q8_0	1,024	64	1,024	62	-3.125	376.581437	376.206817	377.173359	382.465627	17.197332	17.196729	17.281779	17.466576	17.171781	17.186213	17.206281	17.228369	58.235378	0.700422	43.537678	43.511814	43.645094	43.771796	1,424.06006	1,424.900391	1,427.10864	1,428.503552	2,719.256712	2,721.907184	2,726.358161	2,731.663968	2.978763	49.999873	52.030719	64.031	19.550189	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 28.554216728 }	2026-05-26T16:08:19.003891	2026-05-26T16:08:47.563514
qwen3-0.6b	Q8_0	2,048	64	2,048	62	-3.125	703.278496	702.779108	703.875079	712.147788	18.557202	18.56815	18.621571	18.664284	18.556159	18.556532	18.579686	18.584952	53.890511	0.543739	33.78378	33.795494	33.821321	33.845176	1,835.20422	1,834.564125	1,837.504025	1,843.880451	2,912.114724	2,914.144685	2,917.701254	2,921.805428	2.978763	49.999873	52.030719	64.031	18.091574	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 36.782379052 }	2026-05-26T16:25:37.529256	2026-05-26T16:26:14.317353
qwen3-0.6b	Q8_0	128	128	128	126	-1.5625	102.166926	101.414011	104.777944	108.134706	15.760725	15.7407	15.857564	16.030405	15.864863	15.846013	15.915986	15.999391	63.032949	0.478477	60.424253	60.502725	60.571994	60.594373	2,085.274767	2,082.550817	2,093.730673	2,102.775149	1,253.264946	1,262.153045	1,266.742207	1,267.486835	2.978763	49.999873	52.030719	64.031	21.160781	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 41.799269057000004 }	2026-05-26T16:26:33.920406	2026-05-26T16:27:15.726324
qwen3-0.6b	Q8_0	512	128	512	125.95	-1.601563	225.559845	224.663717	226.421595	234.12162	16.526554	16.51275	16.71785	16.869627	16.52009	16.486539	16.634558	16.703508	60.533577	0.435869	55.007189	55.129666	55.197122	55.270348	2,289.736789	2,285.520829	2,303.384268	2,312.693824	2,270.217134	2,278.961677	2,285.001712	2,287.759536	2.978763	49.999873	52.030719	64.031	20.321717	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 45.885393088 }	2026-05-26T16:27:35.307769	2026-05-26T16:28:21.198905
qwen3-0.6b	Q8_0	1,024	128	1,024	126	-1.5625	376.43	376.041122	376.773766	382.7734	17.226899	17.205214	17.435174	17.557348	17.181911	17.174571	17.203794	17.332844	58.201136	0.395442	49.917668	49.942586	49.992043	50.040835	2,524.168879	2,522.896974	2,529.320598	2,542.426177	2,720.356564	2,723.106439	2,726.279297	2,730.341806	2.978763	49.999873	52.030719	64.031	19.538694	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 50.576275547 }	2026-05-26T16:28:40.761950	2026-05-26T16:29:31.344265
qwen3-0.6b	Q8_0	2,048	128	2,048	126	-1.5625	703.149659	703.102993	704.085964	710.692914	18.576678	18.564687	18.736396	18.760217	18.547517	18.553601	18.570549	18.581453	53.91566	0.330451	41.699956	41.691243	41.778604	41.804657	3,021.589288	3,022.217455	3,024.545588	3,025.598198	2,912.64206	2,912.802277	2,922.14829	2,925.699283	2.978763	49.999873	52.030719	64.031	18.100017	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 60.523316140000006 }	2026-05-26T16:29:50.904391	2026-05-26T16:30:51.433640
qwen3-0.6b	Q8_0	128	256	128	253.75	-0.878906	102.110587	101.648361	102.95357	107.995587	15.809001	15.764199	15.944789	16.187496	16.022417	16.025278	16.110049	16.167893	62.413478	0.240505	61.119323	61.115822	61.376821	61.44862	4,151.744179	4,155.866613	4,160.135141	4,167.472642	1,253.864398	1,259.243134	1,262.994374	1,265.103738	2.978763	49.999873	52.030719	64.031	20.952818	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 83.15843756400001 }	2026-05-26T16:31:11.030889	2026-05-26T16:32:34.196307
qwen3-0.6b	Q8_0	512	256	512	253.85	-0.839844	224.792035	224.541304	226.231988	231.046953	16.441928	16.412386	16.560566	16.802385	16.489125	16.496354	16.556117	16.716683	60.64753	0.227257	57.772491	57.745788	58.092277	58.196404	4,394.042069	4,398.589229	4,414.030944	4,427.530829	2,277.827583	2,280.205263	2,292.508188	2,294.377248	2.978763	49.999873	52.030719	64.031	20.359972	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 88.005976246 }	2026-05-26T16:32:53.870479	2026-05-26T16:34:21.883711
qwen3-0.6b	Q8_0	1,024	256	1,024	253.8	-0.859375	375.19391	374.564357	376.515165	383.222131	17.09314	17.085013	17.210721	17.247486	17.137874	17.113224	17.222446	17.385355	58.35187	0.212142	53.913641	53.982345	54.133192	54.224826	4,707.601433	4,705.257595	4,731.036533	4,733.224097	2,729.366353	2,733.842732	2,741.061496	2,743.422061	2.978763	49.999873	52.030719	64.031	19.589296	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 94.27655096800001 }	2026-05-26T16:42:59.739173	2026-05-26T16:44:34.022710
qwen3-0.6b	Q8_0	2,048	256	2,048	253.9	-0.820313	700.345511	698.957729	701.915419	711.499425	18.506012	18.473005	18.602596	18.850083	18.45215	18.431048	18.482041	18.595408	54.19455	0.186117	47.308862	47.369128	47.385721	47.392063	5,366.878736	5,362.14215	5,372.618747	5,397.91544	2,924.348511	2,930.077163	2,932.74428	2,934.999509	2.978763	49.999873	52.030719	64.031	18.193643	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 107.45904313400001 }	2026-05-26T16:58:49.070203	2026-05-26T17:00:36.536196
smollm2-135m	Q4_K_M	128	64	128	62.35	-2.578125	36.996352	36.036684	37.42186	49.246281	8.031579	8.019416	8.386908	8.555271	5.456196	5.438371	5.51964	5.764311	183.331419	2.654449	167.736039	168.868097	170.45013	171.730731	371.71385	378.192379	382.33488	416.877859	3,482.386998	3,551.989642	3,593.794699	3,608.918687	4.321226	48.433454	50.486493	53.25	42.425788	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 7.534519673 }	2026-05-26T04:46:09.160892	2026-05-26T04:46:16.701762
smollm2-135m	Q4_K_M	512	64	512	59.5	-7.03125	93.567116	92.730027	95.454918	99.731445	8.268869	8.29813	8.719615	8.917814	5.65926	5.594555	5.728701	6.264684	176.863683	2.336674	138.330083	143.612045	144.299484	144.367802	422.869895	444.006828	448.573499	471.686087	5,474.724758	5,521.408516	5,553.332677	5,584.436197	4.321226	48.433454	50.486493	53.25	40.929052	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 8.559175956 }	2026-05-26T04:46:36.132954	2026-05-26T04:46:44.703554
smollm2-135m	Q4_K_M	1,024	64	1,024	57.75	-9.765625	166.569873	165.361776	168.234759	178.822697	8.454984	8.361453	9.142898	10.672257	5.956704	5.835797	6.018699	7.585714	168.66309	1.982603	111.540118	120.022718	121.466408	122.100619	498.95242	531.312317	544.149304	563.674333	6,150.309246	6,192.483105	6,227.648105	6,241.583972	4.321226	48.433454	50.486493	53.25	39.031305	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 10.087748224 }	2026-05-26T04:47:04.196404	2026-05-26T04:47:14.290214
smollm2-135m	Q4_K_M	2,048	64	2,048	63.95	-0.078125	319.557654	318.869354	320.914329	327.35269	8.857241	8.735867	9.182873	9.91987	6.346546	6.328773	6.432606	6.668817	157.602197	1.381968	88.945053	89.119328	89.7321	89.899008	719.068453	717.73628	721.54827	746.367216	6,409.213609	6,422.693304	6,437.308639	6,473.044723	4.321226	48.433454	50.486493	53.25	36.47164	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 14.472117095000002 }	2026-05-26T04:47:33.858164	2026-05-26T04:47:48.336898
smollm2-135m	Q4_K_M	128	128	128	105.2	-17.8125	36.308142	35.921605	36.715619	41.7552	8.027263	7.90495	8.173005	9.931172	5.477719	5.467805	5.574606	5.710108	182.598925	1.635542	169.30485	175.058766	176.703949	178.595153	604.848852	728.462486	735.744554	747.246408	3,530.943419	3,563.315417	3,600.504236	3,614.581315	4.321226	48.433454	50.486493	53.25	42.256278	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 12.228363227000001 }	2026-05-26T04:48:07.692688	2026-05-26T04:48:19.928978
smollm2-135m	Q4_K_M	512	128	512	123.75	-3.320313	93.50715	92.804671	95.350283	98.864018	8.547611	8.468049	8.984375	9.507643	5.59096	5.576302	5.64426	5.898242	178.905451	1.273288	157.931614	159.762058	161.149109	161.60014	779.693544	800.543024	810.40185	847.940806	5,477.289359	5,516.964095	5,540.693853	5,555.088787	4.321226	48.433454	50.486493	53.25	41.401549	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 15.707365308000002 }	2026-05-26T04:48:39.430162	2026-05-26T04:48:55.145394
smollm2-135m	Q4_K_M	1,024	128	1,024	124.4	-2.8125	165.872748	165.417573	167.03712	172.289648	8.418995	8.429116	8.760216	9.064276	5.787422	5.776212	5.827907	5.90824	172.797474	1.129028	140.802006	142.209809	142.989695	143.341168	879.963973	898.597593	905.597687	915.972185	6,174.248357	6,190.394751	6,233.071535	6,252.647353	4.321226	48.433454	50.486493	53.25	39.988067	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 17.714355684 }	2026-05-26T04:49:14.833294	2026-05-26T04:49:32.554811
smollm2-135m	Q4_K_M	2,048	128	2,048	128.25	0.195313	319.779044	319.425781	321.813743	325.999852	8.832178	8.836827	9.154023	9.206301	6.281389	6.269789	6.340585	6.453167	159.218046	0.889094	114.612197	114.755499	115.704536	116.55177	1,119.05579	1,115.93718	1,124.781215	1,142.287077	6,404.694063	6,411.505045	6,443.368701	6,463.136564	4.321226	48.433454	50.486493	53.25	36.845573	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 22.494809176 }	2026-05-26T04:49:52.109303	2026-05-26T04:50:14.611339
smollm2-135m	Q4_K_M	128	256	128	209.65	-18.105469	36.813086	36.125856	37.313351	44.331235	7.944151	7.95896	8.262817	8.340935	5.455726	5.448636	5.509552	5.656421	183.327629	0.847098	176.442651	179.452496	182.074793	183.294168	1,172.289312	1,423.360267	1,427.649012	1,459.370592	3,489.336983	3,543.175081	3,593.079257	3,604.017917	4.321226	48.433454	50.486493	53.25	42.424911	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 23.610006724 }	2026-05-26T04:50:34.006217	2026-05-26T04:50:57.629674
smollm2-135m	Q4_K_M	512	256	512	229.3	-10.429688	93.166857	92.738984	93.530479	98.623499	8.243396	8.193054	8.595872	8.686406	5.566443	5.581203	5.60685	5.63797	179.665871	0.728515	167.303782	168.057009	170.877887	173.999019	1,363.876271	1,515.82172	1,524.116539	1,525.979464	5,496.989886	5,520.872326	5,544.336142	5,556.091551	4.321226	48.433454	50.486493	53.25	41.577522	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 27.453120399000003 }	2026-05-26T04:51:17.327483	2026-05-26T04:51:44.788648
smollm2-135m	Q4_K_M	1,024	256	1,024	215.1	-15.976563	165.580973	165.301017	166.202642	171.955404	8.390709	8.357993	8.719942	9.107201	5.941677	5.854655	5.949213	7.182982	168.777514	0.701174	141.431199	154.216252	154.736806	156.406188	1,418.57681	1,656.117309	1,662.226474	1,668.252862	6,185.052645	6,194.759611	6,229.820447	6,237.776506	4.321226	48.433454	50.486493	53.25	39.057785	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 28.523572956000002 }	2026-05-26T04:52:04.282801	2026-05-26T04:52:32.819409
smollm2-135m	Q4_K_M	2,048	256	2,048	249.15	-2.675781	319.456933	318.751383	321.957779	325.373631	8.723582	8.713161	8.920417	9.738346	6.275058	6.271025	6.293544	6.483358	159.379188	0.530694	132.594723	133.330963	133.804154	135.765039	1,876.52656	1,918.87873	1,922.831971	1,925.314083	6,411.156027	6,425.070248	6,444.934454	6,466.843656	4.321226	48.433454	50.486493	53.25	36.882863	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 37.686492169000005 }	2026-05-26T04:52:52.552010	2026-05-26T04:53:30.246923
smollm2-360m	Q8_0	128	64	128	58.5	-8.59375	51.371038	50.909357	52.650527	55.888782	12.535786	12.537445	12.870652	13.350282	9.806746	9.719577	9.789853	11.034669	102.083725	1.622555	93.403647	96.21431	96.801499	97.281478	610.700578	663.291335	667.195228	667.320392	2,493.325737	2,514.273522	2,530.45296	2,541.098408	5.241346	50.076301	52.309589	56.75	19.476623	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 12.326241833000001 }	2026-05-26T04:54:31.159509	2026-05-26T04:54:43.492113
smollm2-360m	Q8_0	512	64	512	56.65	-11.484375	146.244943	145.504343	147.68827	153.748858	13.165789	13.192741	13.390076	13.538148	10.149087	10.035331	10.325805	11.227195	98.616555	1.405653	76.78626	82.263458	82.534411	82.618303	706.257043	777.001711	780.696385	792.362738	3,501.728962	3,518.795324	3,528.688933	3,537.161203	5.241346	50.076301	52.309589	56.75	18.815119	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 14.228264485 }	2026-05-26T04:55:03.445798	2026-05-26T04:55:17.690182
smollm2-360m	Q8_0	1,024	64	1,024	47.55	-25.703125	268.192613	267.305184	270.293832	276.467651	13.576805	13.618147	13.761628	14.076578	10.766757	10.517209	10.951545	13.228209	93.203715	1.30504	56.843084	68.807375	69.079485	69.265153	758.85772	926.932186	930.913649	955.007679	3,818.533421	3,830.827358	3,843.031669	3,844.980799	5.241346	50.076301	52.309589	56.75	17.7824	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 15.32520348 }	2026-05-26T04:55:37.160658	2026-05-26T04:55:52.502376
smollm2-360m	Q8_0	2,048	64	2,048	61.55	-3.828125	528.319717	527.709039	529.630133	536.012593	13.974661	13.966417	14.380562	14.556657	11.195515	11.162615	11.324883	11.434423	89.32771	0.825494	50.733586	51.93964	52.14566	52.224859	1,205.715869	1,230.674474	1,236.722499	1,239.844163	3,876.518983	3,880.926525	3,890.154269	3,892.825507	5.241346	50.076301	52.309589	56.75	17.042894	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 24.227903462 }	2026-05-26T04:56:12.155771	2026-05-26T04:56:36.390215
smollm2-360m	Q8_0	128	128	128	92.7	-27.578125	51.229186	50.905471	51.211827	56.733558	12.511391	12.516405	12.832075	12.913266	9.769822	9.747046	9.938391	10.021477	102.367088	1.04974	96.127699	99.281349	99.957587	100.037028	944.013787	1,279.850818	1,288.872483	1,289.33124	2,500.687406	2,514.466309	2,531.695063	2,541.678022	5.241346	50.076301	52.309589	56.75	19.530686	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 19.052329223 }	2026-05-26T04:56:55.821270	2026-05-26T04:57:14.890295
smollm2-360m	Q8_0	512	128	512	90.75	-29.101563	146.548604	145.688917	149.436027	153.220924	12.902944	12.98981	13.271791	13.330717	10.133076	9.987816	10.551201	10.991969	98.769917	0.950244	77.560797	89.96272	90.757998	91.076575	1,043.310553	1,406.230008	1,417.452375	1,424.54952	3,494.562255	3,514.337821	3,536.617666	3,540.903266	5.241346	50.076301	52.309589	56.75	18.844379	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 21.047232416 }	2026-05-26T04:57:34.351120	2026-05-26T04:57:55.414075
smollm2-360m	Q8_0	1,024	128	1,024	97.5	-23.828125	267.294069	266.826617	268.004575	274.624634	13.351255	13.350256	13.561378	14.018082	10.665655	10.461261	10.842011	12.942298	94.040683	0.777638	68.445879	79.971281	80.521736	80.768797	1,277.160056	1,589.529126	1,596.636317	1,600.965663	3,831.220575	3,837.698136	3,846.189959	3,853.692614	5.241346	50.076301	52.309589	56.75	17.942086	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 25.718915691000003 }	2026-05-26T04:58:14.887271	2026-05-26T04:58:40.613081
smollm2-360m	Q8_0	2,048	128	2,048	109	-14.84375	527.977737	527.3667	529.565897	535.929891	14.111856	14.026529	14.583865	14.861383	11.15801	11.136725	11.270365	11.387129	89.625921	0.573932	61.475253	65.468015	66.053316	66.099417	1,732.7944	1,937.561013	1,957.786504	1,973.058786	3,879.036688	3,883.445807	3,891.344507	3,900.988842	5.241346	50.076301	52.309589	56.75	17.09979	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 34.847344787000004 }	2026-05-26T04:59:00.426183	2026-05-26T04:59:35.280703
smollm2-360m	Q8_0	128	256	128	146.95	-42.597656	51.297566	50.763808	51.546452	58.325041	12.497849	12.497745	12.789443	12.851362	9.785123	9.782288	9.846685	9.930124	102.199473	0.66986	97.699942	99.266775	100.42025	100.623551	1,479.723198	1,437.412221	2,549.492065	2,555.789741	2,498.498468	2,521.481453	2,531.571702	2,533.779525	5.241346	50.076301	52.309589	56.75	19.498707	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 29.856964082 }	2026-05-26T04:59:54.671509	2026-05-26T05:00:24.554073
smollm2-360m	Q8_0	512	256	512	162.55	-36.503906	145.777913	145.505962	145.980711	151.466921	12.886936	12.908511	13.157081	13.2044	10.112825	10.100653	10.173036	10.544069	98.905314	0.559965	85.955575	92.912195	94.144475	95.034688	1,773.270939	2,105.930071	2,723.917365	2,729.299329	3,512.615076	3,518.756165	3,532.385355	3,539.774845	5.241346	50.076301	52.309589	56.75	18.870212	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 35.716506233000004 }	2026-05-26T05:00:44.096044	2026-05-26T05:01:19.828477
smollm2-360m	Q8_0	1,024	256	1,024	175.45	-31.464844	267.461524	266.890069	268.770123	274.48531	13.422046	13.450688	13.697615	13.813136	10.583313	10.472117	10.813899	11.338115	94.543956	0.475237	73.073628	86.933084	87.36088	87.407556	2,093.499657	2,929.332383	2,937.903957	2,939.612311	3,828.820061	3,836.785699	3,852.040013	3,857.450719	5.241346	50.076301	52.309589	56.75	18.038105	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 42.084292457000004 }	2026-05-26T05:01:39.232334	2026-05-26T05:02:21.324831
smollm2-360m	Q8_0	2,048	256	2,048	188.3	-26.445313	528.349193	527.9739	530.130197	534.791636	13.895346	13.929949	14.265578	14.540949	11.183673	11.157096	11.261365	11.526147	89.42395	0.38039	66.599943	75.66632	75.960821	76.347865	2,617.397764	3,357.859899	3,378.726204	3,384.975043	3,876.287294	3,878.979632	3,889.035953	3,896.202432	5.241346	50.076301	52.309589	56.75	17.061256	{ "unit": "requests", "avg": 20 }	{ "unit": "sec", "avg": 52.577560746 }	2026-05-26T05:02:41.023685	2026-05-26T05:03:33.609736

Tiny LLM Benchmark — Jetson Orin Nano Super 8GB

Date: 2026-05-26 18:18
Backend: llama.cpp CUDA (-ngl 99) Concurrency: 1
Sweep: prompt in {128,512,1024,2048} tok × gen in {64,128,256} tok Artifacts: https://huggingface.co/datasets/YuvrajSingh9886/jetson-non-reasoning-benchmark-maxn

Skipped / Failed Models

gemma3-4b (OOM — server failed to start)

Full Results

Cells marked — = OOM (server crashed or skipped). Power = VDD_CPU_GPU_CV average over aiperf run window (CPU+GPU+CV rail, milliwatts → watts).

Model	Quant	ISL (tok)	OSL (tok)	OSL mismatch (%)	TTFT avg (ms)	TTFT p50	TTFT p90	TTFT p99	T2T avg (ms)	T2T p50	T2T p90	T2T p99	ITL avg (ms)	ITL p50	ITL p90	ITL p99	Tok/s (server)	Req/s	E2E tok/s avg	E2E p50	E2E p90	E2E p99	Req lat avg (ms)	Req lat p50	Req lat p90	Req lat p99	Prefill tok/s avg	Prefill p50	Prefill p90	Prefill p99	Power (W)	Tok/J
gemma3-1b	Q4_K_M	128	63.4	-1.02	118.4	117.1	117.9	136.7	24.02	24.78	24.89	24.95	22.39	22.38	22.43	22.44	44.67	0.658	41.83	41.88	41.94	41.95	1514.1	1527.4	1530.1	1544.7	1083.0	1092.9	1095.7	1095.8	6.22	7.184
gemma3-1b	Q4_K_M	512	64.0	0.08	282.2	275.9	280.2	366.6	24.91	24.85	25.18	25.46	22.37	22.38	22.43	22.47	44.70	0.589	37.85	37.96	37.99	38.44	1692.6	1686.2	1691.9	1781.1	1824.0	1855.9	1858.0	1860.9	6.22	7.189
gemma3-1b	Q4_K_M	1024	64.0	0.00	489.7	487.9	493.5	507.9	25.12	25.10	25.32	25.56	22.59	22.59	22.63	22.71	44.26	0.522	33.45	33.48	33.55	33.56	1913.1	1911.5	1918.8	1929.4	2091.5	2098.7	2103.5	2108.0	6.22	7.118
gemma3-1b	Q4_K_M	2048	64.0	0.00	900.7	899.4	904.8	909.0	25.19	25.13	25.45	25.67	22.62	22.61	22.65	22.68	44.21	0.429	27.52	27.53	27.57	27.58	2325.6	2324.5	2333.4	2336.1	2273.8	2277.0	2280.0	2282.6	6.22	7.110
gemma3-1b	Q4_K_M	128	126.8	-0.98	117.4	116.9	117.5	123.0	24.77	24.76	24.84	25.20	22.35	22.34	22.38	22.63	44.73	0.341	43.28	43.31	43.36	43.50	2928.5	2954.3	2959.2	2964.0	1090.9	1094.6	1096.9	1098.1	6.22	7.194
gemma3-1b	Q4_K_M	512	128.0	0.00	276.3	275.2	278.8	286.6	24.89	24.87	25.02	25.58	22.38	22.37	22.45	22.49	44.69	0.320	41.05	41.07	41.12	41.27	3118.4	3116.9	3132.3	3133.8	1853.5	1860.5	1864.3	1866.5	6.22	7.186
gemma3-1b	Q4_K_M	1024	128.0	0.00	488.2	486.9	492.2	495.5	25.09	25.05	25.23	25.92	22.53	22.51	22.61	22.73	44.39	0.298	38.22	38.26	38.31	38.56	3349.0	3345.3	3359.8	3365.1	2097.7	2102.9	2105.7	2107.2	6.22	7.139
gemma3-1b	Q4_K_M	2048	128.0	-0.04	896.9	895.7	901.6	906.5	24.87	24.87	25.05	25.24	22.44	22.40	22.59	22.62	44.56	0.267	34.16	34.23	34.25	34.26	3745.8	3739.8	3763.4	3776.1	2283.3	2286.5	2290.3	2291.3	6.22	7.166
gemma3-1b	Q4_K_M	128	245.5	-4.10	117.4	117.0	117.6	123.0	24.57	24.58	24.68	24.81	22.23	22.20	22.30	22.34	44.99	0.180	44.10	44.30	44.33	44.33	5551.5	5777.7	5808.3	5813.6	1090.5	1093.8	1096.2	1098.6	6.22	7.236
gemma3-1b	Q4_K_M	512	256.0	0.00	277.3	276.4	279.9	284.7	24.90	24.90	25.04	25.24	22.43	22.44	22.45	22.46	44.57	0.167	42.68	42.67	42.71	42.72	5998.1	5998.9	6001.3	6002.7	1846.3	1852.5	1856.0	1856.7	6.22	7.168
gemma3-1b	Q4_K_M	1024	255.9	-0.02	487.5	486.8	490.3	494.4	24.99	25.02	25.09	25.12	22.51	22.49	22.56	22.71	44.43	0.160	41.11	41.14	41.19	41.25	6225.6	6222.4	6238.2	6265.5	2100.4	2103.7	2108.3	2110.6	6.22	7.145
gemma3-1b	Q4_K_M	2048	255.9	-0.02	900.2	899.2	904.3	908.9	25.10	25.13	25.25	25.69	22.60	22.59	22.68	22.72	44.24	0.150	38.42	38.44	38.49	38.55	6662.5	6659.5	6685.3	6695.7	2275.0	2277.5	2281.0	2283.0	6.22	7.115
lfm2.5-1.2b	Q4_K_M	128	64.0	0.00	118.3	117.8	118.9	123.7	20.00	19.99	20.23	20.71	18.70	18.70	18.76	18.78	53.48	0.769	49.37	49.38	49.52	49.58	1296.3	1295.9	1300.2	1303.5	1082.4	1086.2	1090.7	1092.5	8.02	6.667
lfm2.5-1.2b	Q4_K_M	512	64.0	-0.08	303.8	302.4	303.1	325.5	20.12	20.11	20.35	20.79	18.76	18.75	18.81	18.97	53.31	0.672	43.08	43.14	43.25	43.28	1484.5	1483.5	1487.2	1504.5	1686.1	1693.1	1697.6	1699.4	8.02	6.647
lfm2.5-1.2b	Q4_K_M	1024	63.9	-0.16	539.2	538.6	540.1	547.8	20.07	20.07	20.34	20.60	18.85	18.84	18.96	19.13	53.05	0.578	37.04	37.08	37.19	37.27	1724.9	1725.4	1731.6	1732.3	1899.3	1901.3	1904.9	1905.6	8.02	6.613
lfm2.5-1.2b	Q4_K_M	2048	64.0	-0.08	1012.3	1011.9	1013.7	1020.7	20.35	20.38	20.61	20.66	19.09	19.08	19.14	19.35	52.38	0.451	28.88	28.92	28.93	28.95	2214.2	2213.3	2219.2	2219.6	2023.1	2023.8	2026.7	2027.2	8.02	6.530
lfm2.5-1.2b	Q4_K_M	128	127.8	-0.16	117.9	117.3	118.4	124.3	19.90	19.91	20.15	20.22	18.72	18.68	18.85	18.96	53.42	0.400	51.29	51.39	51.47	51.49	2491.7	2490.1	2498.6	2505.7	1086.1	1090.9	1095.5	1096.6	8.02	6.660
lfm2.5-1.2b	Q4_K_M	512	127.8	-0.12	303.1	302.8	303.7	310.3	19.96	19.98	20.11	20.18	18.75	18.72	18.85	18.95	53.33	0.372	47.67	47.71	47.83	47.87	2681.8	2680.6	2688.6	2691.8	1689.2	1691.0	1697.5	1698.5	8.02	6.649
lfm2.5-1.2b	Q4_K_M	1024	127.8	-0.12	539.8	539.3	541.4	546.1	20.09	20.16	20.22	20.28	18.85	18.83	18.90	19.01	53.06	0.341	43.63	43.65	43.73	43.76	2930.7	2932.0	2936.8	2938.0	1897.1	1898.6	1902.5	1904.0	8.02	6.615
lfm2.5-1.2b	Q4_K_M	2048	127.8	-0.12	1010.0	1009.4	1011.3	1018.7	20.28	20.28	20.51	20.66	19.06	19.05	19.17	19.21	52.46	0.291	37.30	37.33	37.38	37.40	3428.0	3428.4	3432.7	3433.4	2027.7	2028.9	2031.4	2031.6	8.02	6.541
lfm2.5-1.2b	Q4_K_M	128	243.6	-4.86	118.1	117.6	118.7	123.9	20.00	19.97	20.31	20.33	18.70	18.70	18.74	18.75	53.48	0.215	52.23	52.40	52.47	52.57	4652.5	4884.5	4891.1	4896.9	1084.5	1088.9	1091.1	1091.9	8.02	6.668
lfm2.5-1.2b	Q4_K_M	512	255.7	-0.12	303.7	303.2	304.8	310.2	20.04	20.09	20.22	20.36	18.75	18.74	18.83	18.86	53.33	0.197	50.34	50.37	50.45	50.52	5079.6	5079.1	5087.5	5092.0	1685.9	1688.8	1693.2	1695.1	8.02	6.649
lfm2.5-1.2b	Q4_K_M	1024	255.9	-0.02	540.1	539.4	541.6	548.1	20.10	20.12	20.23	20.35	18.85	18.84	18.90	18.99	53.05	0.187	47.88	47.92	47.98	48.08	5346.0	5342.5	5357.5	5370.7	1896.0	1898.4	1902.2	1903.0	8.02	6.614
lfm2.5-1.2b	Q4_K_M	2048	256.0	0.00	1008.0	1007.2	1009.3	1017.9	20.17	20.15	20.59	20.91	19.00	18.99	19.03	19.15	52.63	0.171	43.74	43.76	43.79	43.88	5853.2	5850.7	5860.7	5889.5	2031.7	2033.4	2035.6	2036.8	8.02	6.562
lfm2.5-350m	Q4_K_M	128	64.0	0.00	52.0	51.6	52.3	58.1	9.60	9.49	10.27	10.40	8.37	8.33	8.41	8.82	119.49	1.713	110.48	110.99	111.28	111.36	579.4	576.6	582.2	608.8	2461.7	2479.0	2494.9	2503.2	5.51	21.684
lfm2.5-350m	Q4_K_M	512	63.1	-1.41	128.9	126.0	127.9	170.4	9.86	9.90	10.14	10.93	8.50	8.48	8.51	8.78	117.69	1.512	96.08	96.88	97.25	97.32	656.7	660.1	662.8	723.2	3995.4	4061.9	4080.9	4084.1	5.51	21.358
lfm2.5-350m	Q4_K_M	1024	64.0	0.00	217.8	217.2	219.2	224.0	9.88	9.93	10.12	10.21	8.61	8.61	8.65	8.67	116.11	1.307	84.17	84.23	84.54	84.64	760.4	759.9	763.2	768.1	4701.6	4713.8	4727.0	4740.6	5.51	21.071
lfm2.5-350m	Q4_K_M	2048	62.6	-2.11	396.5	396.1	397.7	401.9	10.04	10.07	10.34	10.70	8.88	8.87	8.94	9.09	112.59	1.054	66.18	67.02	67.19	67.34	944.0	954.8	959.9	968.1	5165.5	5170.8	5181.7	5186.1	5.51	20.433
lfm2.5-350m	Q4_K_M	128	113.0	-11.76	52.6	52.2	53.5	58.6	9.53	9.55	9.89	10.23	8.45	8.39	8.64	9.00	118.37	1.001	108.20	114.42	115.12	115.93	992.5	1115.8	1123.0	1146.5	2433.7	2452.3	2484.5	2491.9	5.51	21.482
lfm2.5-350m	Q4_K_M	512	122.3	-4.41	126.5	126.1	127.6	133.2	9.71	9.75	10.07	10.30	8.44	8.43	8.50	8.58	118.43	0.865	104.73	107.04	107.30	107.42	1150.4	1194.7	1202.3	1218.5	4049.1	4061.3	4094.0	4101.7	5.51	21.493
lfm2.5-350m	Q4_K_M	1024	127.9	-0.08	217.1	216.5	218.1	223.9	9.87	9.82	10.19	10.71	8.56	8.55	8.63	8.66	116.83	0.764	98.14	98.30	98.56	98.90	1303.3	1302.1	1310.5	1313.6	4717.3	4728.8	4744.9	4748.3	5.51	21.202
lfm2.5-350m	Q4_K_M	2048	119.0	-7.07	395.6	394.7	397.6	403.9	9.94	9.92	10.29	10.46	8.82	8.81	8.88	8.93	113.41	0.694	81.13	84.49	84.82	85.01	1435.0	1512.6	1518.4	1536.5	5177.4	5188.6	5199.1	5205.3	5.51	20.581
lfm2.5-350m	Q4_K_M	128	229.8	-10.21	52.1	51.6	53.1	57.5	9.54	9.51	9.70	10.47	8.39	8.37	8.46	8.62	119.13	0.505	115.30	116.96	117.55	117.66	1973.3	2180.8	2196.9	2255.0	2459.8	2479.5	2507.3	2513.3	5.51	21.620
lfm2.5-350m	Q4_K_M	512	223.8	-12.58	125.8	125.2	126.6	133.1	9.61	9.58	9.86	10.59	8.45	8.44	8.47	8.54	118.37	0.496	109.02	112.27	112.62	112.72	2007.2	2276.0	2280.5	2284.9	4070.1	4089.5	4098.9	4099.7	5.51	21.482
lfm2.5-350m	Q4_K_M	1024	251.0	-1.95	217.3	216.8	218.1	224.5	9.71	9.72	10.20	10.72	8.59	8.59	8.63	8.70	116.35	0.421	106.01	106.36	106.59	106.74	2366.0	2404.9	2409.6	2424.3	4711.7	4723.9	4738.2	4744.6	5.51	21.116
lfm2.5-350m	Q4_K_M	2048	244.8	-4.36	396.0	395.4	397.5	403.0	9.90	9.93	10.03	10.13	8.86	8.86	8.90	8.92	112.87	0.390	94.12	96.48	96.68	96.80	2555.8	2652.2	2664.4	2671.1	5171.7	5179.8	5193.2	5198.0	5.51	20.484
llama3.2-1b	Q4_K_M	128	64.0	0.00	96.2	95.8	96.5	101.2	19.45	19.38	19.60	20.45	18.32	18.29	18.36	18.74	54.58	0.797	51.18	51.28	51.35	51.38	1250.6	1248.0	1252.7	1281.9	1331.2	1336.4	1338.9	1342.0	5.00	10.909
llama3.2-1b	Q4_K_M	512	64.0	0.00	249.1	248.7	249.2	255.9	19.78	19.81	19.97	20.14	18.59	18.61	18.66	18.75	53.78	0.702	45.05	45.03	45.26	45.28	1420.5	1421.1	1424.1	1437.0	2055.3	2059.0	2062.0	2063.3	5.00	10.750
llama3.2-1b	Q4_K_M	1024	64.0	0.00	457.1	456.4	457.8	464.4	19.93	19.93	20.20	20.29	18.71	18.70	18.75	18.77	53.45	0.610	39.13	39.14	39.18	39.21	1635.8	1635.0	1638.4	1645.3	2240.5	2243.8	2245.8	2247.2	5.00	10.683
llama3.2-1b	Q4_K_M	2048	63.9	-0.16	886.7	885.7	888.4	895.4	20.01	20.03	20.12	20.21	19.09	19.06	19.09	19.58	52.38	0.478	30.61	30.67	30.70	30.71	2087.4	2087.0	2089.4	2097.0	2309.8	2312.3	2314.7	2315.7	5.00	10.471
llama3.2-1b	Q4_K_M	128	127.8	-0.12	97.1	96.5	99.1	101.8	19.52	19.53	19.65	19.84	18.46	18.45	18.59	18.59	54.18	0.409	52.43	52.47	52.61	52.75	2438.4	2438.9	2441.2	2450.1	1318.4	1326.6	1329.9	1333.8	5.00	10.830
llama3.2-1b	Q4_K_M	512	127.9	-0.08	249.4	248.9	249.8	255.5	19.87	19.76	20.05	21.51	18.62	18.60	18.72	18.88	53.70	0.382	48.96	49.03	49.10	49.12	2612.4	2610.6	2617.1	2630.7	2052.9	2057.4	2060.5	2060.8	5.00	10.734
llama3.2-1b	Q4_K_M	1024	128.0	0.00	458.1	457.7	458.6	463.5	20.05	20.08	20.18	20.28	18.80	18.79	18.81	18.92	53.20	0.351	44.99	45.01	45.04	45.07	2845.2	2844.0	2847.5	2861.5	2235.1	2237.3	2239.4	2241.4	5.00	10.635
llama3.2-1b	Q4_K_M	2048	127.9	-0.08	888.3	887.9	890.3	894.3	20.21	20.23	20.38	20.49	19.15	19.15	19.23	19.40	52.21	0.301	38.54	38.54	38.69	38.70	3318.9	3320.9	3329.9	3339.3	2305.5	2306.4	2311.1	2311.8	5.00	10.436
llama3.2-1b	Q4_K_M	128	246.2	-3.83	96.9	96.7	97.1	101.5	19.54	19.56	19.70	19.74	18.48	18.45	18.60	18.64	54.13	0.216	53.19	53.32	53.41	53.49	4626.8	4799.6	4808.7	4834.7	1320.7	1324.3	1329.0	1332.1	5.00	10.819
llama3.2-1b	Q4_K_M	512	256.1	0.02	249.7	249.1	250.6	255.1	19.77	19.70	19.95	20.76	18.54	18.53	18.60	18.66	53.92	0.201	51.42	51.47	51.52	51.64	4979.5	4975.2	4993.2	5013.6	2050.7	2055.4	2058.2	2060.0	5.00	10.778
llama3.2-1b	Q4_K_M	1024	255.9	-0.02	458.4	457.6	460.0	464.4	19.98	19.95	20.18	20.24	18.76	18.72	18.88	18.90	53.29	0.191	48.82	48.95	48.97	49.00	5242.4	5230.0	5272.6	5273.5	2234.0	2237.7	2241.1	2242.5	5.00	10.652
llama3.2-1b	Q4_K_M	2048	255.9	-0.02	890.5	890.5	892.4	893.6	20.49	20.33	21.10	21.17	19.27	19.26	19.37	19.42	51.89	0.172	44.10	44.14	44.21	44.30	5804.2	5798.2	5831.1	5841.6	2299.9	2299.8	2304.2	2308.2	5.00	10.371
qwen2.5-0.5b	Q4_K_M	128	41.3	-35.47	56.2	55.8	56.8	60.4	11.38	11.37	11.45	11.87	9.65	9.60	9.80	9.90	103.61	2.214	87.98	94.67	97.71	98.02	443.0	527.7	660.1	676.1	2278.4	2293.3	2302.2	2305.7	2.12	48.806
qwen2.5-0.5b	Q4_K_M	512	57.1	-10.78	140.4	140.1	140.7	145.1	11.58	11.48	11.93	12.05	9.64	9.59	9.79	9.97	103.73	1.459	81.35	85.95	86.32	86.44	679.9	743.3	747.2	765.0	3647.9	3655.1	3664.7	3671.0	2.12	48.859
qwen2.5-0.5b	Q4_K_M	1024	55.1	-13.83	252.7	252.1	253.6	258.8	11.61	11.56	11.90	12.35	9.77	9.74	9.86	10.03	102.38	1.268	68.96	73.47	74.28	74.39	781.0	861.3	869.3	871.5	4052.9	4061.2	4069.0	4085.1	2.12	48.226
qwen2.5-0.5b	Q4_K_M	2048	51.0	-20.39	484.1	483.5	484.9	491.1	11.74	11.67	12.07	12.13	10.01	9.92	10.27	10.37	99.92	1.012	48.72	57.61	57.83	57.94	981.0	1106.9	1111.8	1116.7	4231.0	4235.5	4242.1	4243.5	2.12	47.067
qwen2.5-0.5b	Q4_K_M	128	86.6	-32.34	56.3	55.8	56.8	61.4	11.36	11.34	11.70	11.71	9.63	9.57	9.82	10.02	103.84	1.131	93.22	99.69	101.21	101.96	876.1	1257.8	1272.3	1302.5	2277.1	2295.3	2319.3	2329.6	2.12	48.914
qwen2.5-0.5b	Q4_K_M	512	113.9	-11.02	140.3	139.8	141.1	145.2	11.52	11.46	11.79	12.00	9.58	9.56	9.66	9.83	104.37	0.815	91.03	94.45	95.02	95.21	1220.5	1351.1	1358.9	1366.6	3649.6	3662.3	3670.1	3676.9	2.12	49.162
qwen2.5-0.5b	Q4_K_M	1024	90.8	-29.02	252.2	251.9	252.9	257.8	11.56	11.54	11.79	12.32	9.69	9.69	9.75	9.89	103.21	0.885	76.55	83.75	86.73	87.09	1121.0	1287.5	1480.9	1485.9	4059.8	4065.4	4074.6	4080.5	2.12	48.614
qwen2.5-0.5b	Q4_K_M	2048	110.4	-13.75	484.0	483.9	484.8	488.6	11.73	11.69	12.09	12.43	9.92	9.89	9.99	10.23	100.82	0.636	66.81	73.56	73.81	74.01	1566.2	1738.5	1743.6	1747.4	4231.2	4232.7	4239.5	4242.9	2.12	47.491
qwen2.5-0.5b	Q4_K_M	128	147.3	-42.46	56.2	55.7	56.6	61.2	11.31	11.34	11.64	11.71	9.65	9.60	9.85	10.15	103.61	0.680	94.87	100.93	102.84	103.23	1459.4	1541.9	2498.6	2526.3	2280.2	2299.5	2312.9	2315.4	2.12	48.806
qwen2.5-0.5b	Q4_K_M	512	163.3	-36.19	140.5	140.2	141.2	145.8	11.48	11.44	11.81	11.99	9.65	9.63	9.71	9.97	103.68	0.584	89.37	96.53	98.77	98.87	1702.8	1837.7	2600.4	2605.3	3643.8	3651.0	3670.4	3676.2	2.12	48.838
qwen2.5-0.5b	Q4_K_M	1024	163.5	-36.13	252.6	252.1	253.1	258.8	11.63	11.60	11.88	12.29	9.78	9.75	10.01	10.04	102.24	0.542	80.58	91.88	93.84	94.11	1834.7	2347.2	2741.3	2744.3	4054.6	4062.2	4068.1	4076.8	2.12	48.159
qwen2.5-0.5b	Q4_K_M	2048	175.4	-31.46	484.8	484.5	485.6	490.9	11.68	11.69	11.89	12.11	9.95	9.94	10.03	10.18	100.50	0.449	70.17	84.15	84.96	85.60	2215.6	2894.6	3017.5	3020.2	4224.4	4226.9	4235.6	4245.5	2.12	47.338
qwen3-0.6b	Q8_0	128	62.0	-3.20	101.9	101.5	102.7	107.6	15.79	15.77	15.85	16.17	15.83	15.80	15.89	16.05	63.17	0.934	58.08	58.14	58.33	58.36	1066.7	1066.3	1068.6	1082.5	1256.1	1261.4	1267.6	1269.0	2.98	21.208
qwen3-0.6b	Q8_0	512	62.0	-3.05	229.1	224.6	225.7	295.8	16.50	16.50	16.59	16.79	16.48	16.49	16.52	16.61	60.66	0.807	50.24	50.39	50.45	51.11	1235.5	1230.4	1233.0	1309.0	2246.2	2279.7	2283.4	2286.3	2.98	20.365
qwen3-0.6b	Q8_0	1024	62.0	-3.12	376.6	376.2	377.2	382.5	17.20	17.20	17.28	17.47	17.17	17.19	17.21	17.23	58.24	0.700	43.54	43.51	43.65	43.77	1424.1	1424.9	1427.1	1428.5	2719.3	2721.9	2726.4	2731.7	2.98	19.550
qwen3-0.6b	Q8_0	2048	62.0	-3.12	703.3	702.8	703.9	712.1	18.56	18.57	18.62	18.66	18.56	18.56	18.58	18.58	53.89	0.544	33.78	33.80	33.82	33.85	1835.2	1834.6	1837.5	1843.9	2912.1	2914.1	2917.7	2921.8	2.98	18.092
qwen3-0.6b	Q8_0	128	126.0	-1.56	102.2	101.4	104.8	108.1	15.76	15.74	15.86	16.03	15.86	15.85	15.92	16.00	63.03	0.478	60.42	60.50	60.57	60.59	2085.3	2082.6	2093.7	2102.8	1253.3	1262.2	1266.7	1267.5	2.98	21.161
qwen3-0.6b	Q8_0	512	126.0	-1.60	225.6	224.7	226.4	234.1	16.53	16.51	16.72	16.87	16.52	16.49	16.63	16.70	60.53	0.436	55.01	55.13	55.20	55.27	2289.7	2285.5	2303.4	2312.7	2270.2	2279.0	2285.0	2287.8	2.98	20.322
qwen3-0.6b	Q8_0	1024	126.0	-1.56	376.4	376.0	376.8	382.8	17.23	17.21	17.44	17.56	17.18	17.17	17.20	17.33	58.20	0.395	49.92	49.94	49.99	50.04	2524.2	2522.9	2529.3	2542.4	2720.4	2723.1	2726.3	2730.3	2.98	19.539
qwen3-0.6b	Q8_0	2048	126.0	-1.56	703.1	703.1	704.1	710.7	18.58	18.56	18.74	18.76	18.55	18.55	18.57	18.58	53.92	0.330	41.70	41.69	41.78	41.80	3021.6	3022.2	3024.5	3025.6	2912.6	2912.8	2922.1	2925.7	2.98	18.100
qwen3-0.6b	Q8_0	128	253.8	-0.88	102.1	101.6	103.0	108.0	15.81	15.76	15.94	16.19	16.02	16.03	16.11	16.17	62.41	0.241	61.12	61.12	61.38	61.45	4151.7	4155.9	4160.1	4167.5	1253.9	1259.2	1263.0	1265.1	2.98	20.953
qwen3-0.6b	Q8_0	512	253.8	-0.84	224.8	224.5	226.2	231.0	16.44	16.41	16.56	16.80	16.49	16.50	16.56	16.72	60.65	0.227	57.77	57.75	58.09	58.20	4394.0	4398.6	4414.0	4427.5	2277.8	2280.2	2292.5	2294.4	2.98	20.360
qwen3-0.6b	Q8_0	1024	253.8	-0.86	375.2	374.6	376.5	383.2	17.09	17.09	17.21	17.25	17.14	17.11	17.22	17.39	58.35	0.212	53.91	53.98	54.13	54.22	4707.6	4705.3	4731.0	4733.2	2729.4	2733.8	2741.1	2743.4	2.98	19.589
qwen3-0.6b	Q8_0	2048	253.9	-0.82	700.3	699.0	701.9	711.5	18.51	18.47	18.60	18.85	18.45	18.43	18.48	18.60	54.19	0.186	47.31	47.37	47.39	47.39	5366.9	5362.1	5372.6	5397.9	2924.3	2930.1	2932.7	2935.0	2.98	18.194
smollm2-135m	Q4_K_M	128	62.4	-2.58	37.0	36.0	37.4	49.2	8.03	8.02	8.39	8.56	5.46	5.44	5.52	5.76	183.33	2.654	167.74	168.87	170.45	171.73	371.7	378.2	382.3	416.9	3482.4	3552.0	3593.8	3608.9	4.32	42.426
smollm2-135m	Q4_K_M	512	59.5	-7.03	93.6	92.7	95.5	99.7	8.27	8.30	8.72	8.92	5.66	5.59	5.73	6.26	176.86	2.337	138.33	143.61	144.30	144.37	422.9	444.0	448.6	471.7	5474.7	5521.4	5553.3	5584.4	4.32	40.929
smollm2-135m	Q4_K_M	1024	57.8	-9.77	166.6	165.4	168.2	178.8	8.45	8.36	9.14	10.67	5.96	5.84	6.02	7.59	168.66	1.983	111.54	120.02	121.47	122.10	499.0	531.3	544.1	563.7	6150.3	6192.5	6227.6	6241.6	4.32	39.031
smollm2-135m	Q4_K_M	2048	64.0	-0.08	319.6	318.9	320.9	327.4	8.86	8.74	9.18	9.92	6.35	6.33	6.43	6.67	157.60	1.382	88.95	89.12	89.73	89.90	719.1	717.7	721.5	746.4	6409.2	6422.7	6437.3	6473.0	4.32	36.472
smollm2-135m	Q4_K_M	128	105.2	-17.81	36.3	35.9	36.7	41.8	8.03	7.90	8.17	9.93	5.48	5.47	5.57	5.71	182.60	1.636	169.30	175.06	176.70	178.60	604.8	728.5	735.7	747.2	3530.9	3563.3	3600.5	3614.6	4.32	42.256
smollm2-135m	Q4_K_M	512	123.8	-3.32	93.5	92.8	95.4	98.9	8.55	8.47	8.98	9.51	5.59	5.58	5.64	5.90	178.91	1.273	157.93	159.76	161.15	161.60	779.7	800.5	810.4	847.9	5477.3	5517.0	5540.7	5555.1	4.32	41.402
smollm2-135m	Q4_K_M	1024	124.4	-2.81	165.9	165.4	167.0	172.3	8.42	8.43	8.76	9.06	5.79	5.78	5.83	5.91	172.80	1.129	140.80	142.21	142.99	143.34	880.0	898.6	905.6	916.0	6174.2	6190.4	6233.1	6252.6	4.32	39.988
smollm2-135m	Q4_K_M	2048	128.2	0.20	319.8	319.4	321.8	326.0	8.83	8.84	9.15	9.21	6.28	6.27	6.34	6.45	159.22	0.889	114.61	114.76	115.70	116.55	1119.1	1115.9	1124.8	1142.3	6404.7	6411.5	6443.4	6463.1	4.32	36.846
smollm2-135m	Q4_K_M	128	209.7	-18.11	36.8	36.1	37.3	44.3	7.94	7.96	8.26	8.34	5.46	5.45	5.51	5.66	183.33	0.847	176.44	179.45	182.07	183.29	1172.3	1423.4	1427.6	1459.4	3489.3	3543.2	3593.1	3604.0	4.32	42.425
smollm2-135m	Q4_K_M	512	229.3	-10.43	93.2	92.7	93.5	98.6	8.24	8.19	8.60	8.69	5.57	5.58	5.61	5.64	179.67	0.729	167.30	168.06	170.88	174.00	1363.9	1515.8	1524.1	1526.0	5497.0	5520.9	5544.3	5556.1	4.32	41.578
smollm2-135m	Q4_K_M	1024	215.1	-15.98	165.6	165.3	166.2	172.0	8.39	8.36	8.72	9.11	5.94	5.85	5.95	7.18	168.78	0.701	141.43	154.22	154.74	156.41	1418.6	1656.1	1662.2	1668.3	6185.1	6194.8	6229.8	6237.8	4.32	39.058
smollm2-135m	Q4_K_M	2048	249.2	-2.68	319.5	318.8	322.0	325.4	8.72	8.71	8.92	9.74	6.28	6.27	6.29	6.48	159.38	0.531	132.59	133.33	133.80	135.77	1876.5	1918.9	1922.8	1925.3	6411.2	6425.1	6444.9	6466.8	4.32	36.883
smollm2-360m	Q8_0	128	58.5	-8.59	51.4	50.9	52.7	55.9	12.54	12.54	12.87	13.35	9.81	9.72	9.79	11.03	102.08	1.623	93.40	96.21	96.80	97.28	610.7	663.3	667.2	667.3	2493.3	2514.3	2530.5	2541.1	5.24	19.477
smollm2-360m	Q8_0	512	56.6	-11.48	146.2	145.5	147.7	153.7	13.17	13.19	13.39	13.54	10.15	10.04	10.33	11.23	98.62	1.406	76.79	82.26	82.53	82.62	706.3	777.0	780.7	792.4	3501.7	3518.8	3528.7	3537.2	5.24	18.815
smollm2-360m	Q8_0	1024	47.5	-25.70	268.2	267.3	270.3	276.5	13.58	13.62	13.76	14.08	10.77	10.52	10.95	13.23	93.20	1.305	56.84	68.81	69.08	69.27	758.9	926.9	930.9	955.0	3818.5	3830.8	3843.0	3845.0	5.24	17.782
smollm2-360m	Q8_0	2048	61.5	-3.83	528.3	527.7	529.6	536.0	13.97	13.97	14.38	14.56	11.20	11.16	11.32	11.43	89.33	0.825	50.73	51.94	52.15	52.22	1205.7	1230.7	1236.7	1239.8	3876.5	3880.9	3890.2	3892.8	5.24	17.043
smollm2-360m	Q8_0	128	92.7	-27.58	51.2	50.9	51.2	56.7	12.51	12.52	12.83	12.91	9.77	9.75	9.94	10.02	102.37	1.050	96.13	99.28	99.96	100.04	944.0	1279.9	1288.9	1289.3	2500.7	2514.5	2531.7	2541.7	5.24	19.531
smollm2-360m	Q8_0	512	90.8	-29.10	146.5	145.7	149.4	153.2	12.90	12.99	13.27	13.33	10.13	9.99	10.55	10.99	98.77	0.950	77.56	89.96	90.76	91.08	1043.3	1406.2	1417.5	1424.5	3494.6	3514.3	3536.6	3540.9	5.24	18.844
smollm2-360m	Q8_0	1024	97.5	-23.83	267.3	266.8	268.0	274.6	13.35	13.35	13.56	14.02	10.67	10.46	10.84	12.94	94.04	0.778	68.45	79.97	80.52	80.77	1277.2	1589.5	1596.6	1601.0	3831.2	3837.7	3846.2	3853.7	5.24	17.942
smollm2-360m	Q8_0	2048	109.0	-14.84	528.0	527.4	529.6	535.9	14.11	14.03	14.58	14.86	11.16	11.14	11.27	11.39	89.63	0.574	61.48	65.47	66.05	66.10	1732.8	1937.6	1957.8	1973.1	3879.0	3883.4	3891.3	3901.0	5.24	17.100
smollm2-360m	Q8_0	128	146.9	-42.60	51.3	50.8	51.5	58.3	12.50	12.50	12.79	12.85	9.79	9.78	9.85	9.93	102.20	0.670	97.70	99.27	100.42	100.62	1479.7	1437.4	2549.5	2555.8	2498.5	2521.5	2531.6	2533.8	5.24	19.499
smollm2-360m	Q8_0	512	162.6	-36.50	145.8	145.5	146.0	151.5	12.89	12.91	13.16	13.20	10.11	10.10	10.17	10.54	98.91	0.560	85.96	92.91	94.14	95.03	1773.3	2105.9	2723.9	2729.3	3512.6	3518.8	3532.4	3539.8	5.24	18.870
smollm2-360m	Q8_0	1024	175.4	-31.46	267.5	266.9	268.8	274.5	13.42	13.45	13.70	13.81	10.58	10.47	10.81	11.34	94.54	0.475	73.07	86.93	87.36	87.41	2093.5	2929.3	2937.9	2939.6	3828.8	3836.8	3852.0	3857.5	5.24	18.038
smollm2-360m	Q8_0	2048	188.3	-26.45	528.3	528.0	530.1	534.8	13.90	13.93	14.27	14.54	11.18	11.16	11.26	11.53	89.42	0.380	66.60	75.67	75.96	76.35	2617.4	3357.9	3378.7	3385.0	3876.3	3879.0	3889.0	3896.2	5.24	17.061

Best Tok/J per Model

Model	Quant	Best Tok/J	ISL (tok)	OSL (tok)	Tok/s	Power (W)
gemma3-1b	Q4_K_M	7.236	128	245.5	44.99	6.22
lfm2.5-1.2b	Q4_K_M	6.668	128	243.6	53.48	8.02
lfm2.5-350m	Q4_K_M	21.684	128	64.0	119.49	5.51
llama3.2-1b	Q4_K_M	10.909	128	64.0	54.58	5.00
qwen2.5-0.5b	Q4_K_M	49.162	512	113.9	104.37	2.12
qwen3-0.6b	Q8_0	21.208	128	62.0	63.17	2.98
smollm2-135m	Q4_K_M	42.426	128	62.4	183.33	4.32
smollm2-360m	Q8_0	19.531	128	92.7	102.37	5.24

Thermal Summary

Model	Avg Power (W)	Avg CPU (°C)	Avg GPU (°C)	Peak TJ (°C)	Throttled
gemma3-1b	6.22	59.4	61.6	67.0	No
lfm2.5-1.2b	8.02	55.9	58.6	63.5	No
lfm2.5-350m	5.51	49.5	51.9	56.8	No
llama3.2-1b	5.00	54.8	57.0	69.5	No
qwen2.5-0.5b	2.12	50.2	52.1	62.8	No
qwen3-0.6b	2.98	50.0	52.0	64.0	No
smollm2-135m	4.32	48.4	50.5	53.2	No
smollm2-360m	5.24	50.1	52.3	56.8	No

Generated by bench_all.sh on 2026-05-26 18:18:09

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