jetson-nano-super-orin-benchmarks
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Datasets:
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find any data file at /src/services/worker/YuvrajSingh9886/bonsai-jetson-benchmark-25w. Couldn't find 'YuvrajSingh9886/bonsai-jetson-benchmark-25w' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/YuvrajSingh9886/bonsai-jetson-benchmark-25w@3deb0b6f67bb3a27540ee80b05d3de2a995a110f/data/results.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1213, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find any data file at /src/services/worker/YuvrajSingh9886/bonsai-jetson-benchmark-25w. Couldn't find 'YuvrajSingh9886/bonsai-jetson-benchmark-25w' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/YuvrajSingh9886/bonsai-jetson-benchmark-25w@3deb0b6f67bb3a27540ee80b05d3de2a995a110f/data/results.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Bonsai Jetson Benchmark — 25W
Platform: NVIDIA Jetson Orin Nano Super 8GB · Power mode: 25W Status: Partial — 36 combos
Bonsai All-Model Benchmark — Jetson Orin Nano Super 8GB — 25W
Date: 2026-05-27 22:38
Backend: llama.cpp (build-jetson) / CUDA / -ngl 99
Platform: NVIDIA Jetson Orin Nano Super 8GB (6-core Cortex-A78AE + Ampere GPU)
Sweep: prompt ∈ {256, 512, 1024, 2048} tok × gen ∈ {128, 256, 512} tok × 20 reqs/combo
Key metric: tok/J = output tokens per second ÷ VDD_CPU_GPU_CV power (watts)
Skipped / OOM Models
- Ternary-Bonsai-8B (Q2_0): NvMap ENOMEM — CUDA alloc failed at model load
Full Results Table
Cells marked — = OOM (server crashed or skipped due to context window limit).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 256.0 | 128.0 | 0.00 | 210.2 | 209.3 | 211.6 | 217.8 | 40.9 | 41.1 | 41.8 | 41.9 | 38.47 | 38.47 | 38.48 | 38.57 | 25.09 | 0.196 | 25.12 | 25.12 | 25.13 | 25.14 | 5095.8 | 5094.7 | 5102.0 | 5108.2 | 1218.3 | 1223.1 | 1224.7 | 1225.4 | 4.65 | 5.395 |
| Bonsai-1.7B | Q1_0 | 512.0 | 128.1 | 0.04 | 370.2 | 369.8 | 370.4 | 377.2 | 41.4 | 41.4 | 41.5 | 41.5 | 38.88 | 38.88 | 38.93 | 39.00 | 24.09 | 0.188 | 24.11 | 24.11 | 24.13 | 24.26 | 5310.3 | 5308.6 | 5314.8 | 5327.8 | 1383.0 | 1384.7 | 1385.6 | 1386.5 | 4.67 | 5.155 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 127.8 | -0.16 | 689.3 | 688.8 | 690.2 | 695.6 | 42.3 | 42.3 | 42.6 | 43.0 | 39.75 | 39.68 | 39.75 | 40.84 | 22.29 | 0.174 | 22.31 | 22.34 | 22.37 | 22.49 | 5728.7 | 5728.6 | 5735.7 | 5736.5 | 1485.6 | 1486.6 | 1487.8 | 1489.0 | 4.94 | 4.511 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 127.9 | -0.08 | 1353.1 | 1352.7 | 1353.7 | 1360.1 | 43.7 | 43.7 | 43.8 | 43.8 | 41.26 | 41.23 | 41.30 | 41.57 | 19.39 | 0.152 | 19.41 | 19.43 | 19.44 | 19.45 | 6588.9 | 6588.6 | 6594.0 | 6598.3 | 1513.5 | 1514.0 | 1514.7 | 1515.8 | 5.40 | 3.595 |
| Bonsai-1.7B | Q1_0 | 256.0 | 250.4 | -2.17 | 209.8 | 209.5 | 209.8 | 215.4 | 41.1 | 41.0 | 41.8 | 41.9 | 38.50 | 38.47 | 38.53 | 38.88 | 25.49 | 0.102 | 25.51 | 25.54 | 25.57 | 25.57 | 9815.0 | 10019.3 | 10027.9 | 10038.7 | 1220.0 | 1222.0 | 1223.7 | 1225.3 | 4.51 | 5.650 |
| Bonsai-1.7B | Q1_0 | 512.0 | 255.8 | -0.10 | 370.4 | 370.2 | 370.5 | 376.0 | 41.4 | 41.5 | 41.5 | 41.6 | 38.95 | 38.92 | 39.08 | 39.31 | 24.83 | 0.097 | 24.85 | 24.87 | 24.89 | 24.89 | 10293.1 | 10291.3 | 10300.3 | 10311.1 | 1382.1 | 1383.2 | 1384.8 | 1385.9 | 4.58 | 5.423 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 255.7 | -0.12 | 689.2 | 688.9 | 689.5 | 696.0 | 42.4 | 42.3 | 42.6 | 43.3 | 39.76 | 39.72 | 39.90 | 40.28 | 23.63 | 0.092 | 23.64 | 23.67 | 23.69 | 23.74 | 10814.7 | 10817.2 | 10824.3 | 10825.9 | 1485.7 | 1486.4 | 1487.4 | 1489.0 | 4.73 | 4.994 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 256.0 | 0.00 | 1353.5 | 1352.8 | 1353.9 | 1362.3 | 43.7 | 43.7 | 43.8 | 44.4 | 41.24 | 41.23 | 41.27 | 41.54 | 21.55 | 0.084 | 21.57 | 21.57 | 21.58 | 21.69 | 11869.8 | 11869.7 | 11875.9 | 11893.5 | 1513.1 | 1513.9 | 1514.5 | 1515.3 | 5.01 | 4.303 |
| Bonsai-1.7B | Q1_0 | 256.0 | 466.9 | -8.80 | 210.3 | 209.8 | 210.9 | 216.0 | 41.0 | 41.0 | 41.1 | 41.7 | 38.66 | 38.67 | 38.74 | 38.81 | 25.59 | 0.055 | 25.60 | 25.62 | 25.65 | 25.69 | 18231.4 | 19969.4 | 19996.4 | 20009.7 | 1217.1 | 1220.0 | 1223.5 | 1224.3 | 4.50 | 5.684 |
| Bonsai-1.7B | Q1_0 | 512.0 | 489.8 | -4.34 | 371.1 | 370.6 | 373.3 | 376.4 | 41.5 | 41.4 | 42.2 | 42.3 | 39.13 | 39.11 | 39.26 | 39.59 | 25.09 | 0.051 | 25.08 | 25.15 | 25.17 | 25.31 | 19504.3 | 20354.0 | 20372.1 | 20413.7 | 1379.5 | 1381.6 | 1383.8 | 1384.0 | 4.52 | 5.548 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 510.9 | -0.21 | 689.8 | 689.5 | 690.0 | 695.8 | 42.4 | 42.4 | 42.6 | 43.1 | 39.98 | 39.94 | 40.05 | 40.51 | 24.23 | 0.047 | 24.24 | 24.27 | 24.30 | 24.30 | 21076.1 | 21071.4 | 21107.9 | 21142.3 | 1484.6 | 1485.2 | 1486.5 | 1487.8 | 4.62 | 5.239 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 499.6 | -2.43 | 1353.7 | 1353.1 | 1353.8 | 1368.1 | 43.7 | 43.7 | 43.8 | 43.9 | 41.47 | 41.43 | 41.60 | 41.87 | 22.66 | 0.045 | 22.68 | 22.70 | 22.72 | 22.79 | 22030.3 | 22024.2 | 22044.2 | 22120.9 | 1512.9 | 1513.6 | 1514.8 | 1516.2 | 4.83 | 4.695 |
| Bonsai-4B | Q1_0 | 256.0 | 128.1 | 0.04 | 464.3 | 463.8 | 464.2 | 473.0 | 74.0 | 73.9 | 74.1 | 74.8 | 70.42 | 70.44 | 70.48 | 70.62 | 13.60 | 0.106 | 13.61 | 13.60 | 13.61 | 13.70 | 9411.4 | 9409.3 | 9425.1 | 9433.1 | 551.4 | 552.0 | 552.4 | 552.8 | 5.19 | 2.619 |
| Bonsai-4B | Q1_0 | 512.0 | 128.0 | 0.00 | 829.8 | 829.2 | 830.7 | 835.1 | 74.5 | 74.4 | 74.8 | 75.2 | 70.92 | 70.92 | 70.94 | 70.96 | 13.01 | 0.102 | 13.01 | 13.01 | 13.02 | 13.02 | 9836.2 | 9835.8 | 9839.7 | 9846.5 | 617.1 | 617.5 | 617.7 | 617.8 | 5.34 | 2.435 |
| Bonsai-4B | Q1_0 | 1024.0 | 128.0 | 0.00 | 1576.3 | 1575.7 | 1576.8 | 1583.1 | 75.5 | 75.5 | 75.6 | 76.2 | 71.88 | 71.87 | 71.91 | 72.02 | 11.95 | 0.093 | 11.96 | 11.96 | 11.96 | 11.97 | 10704.4 | 10703.8 | 10709.5 | 10724.4 | 649.6 | 649.9 | 650.0 | 650.3 | 5.59 | 2.137 |
| Bonsai-4B | Q1_0 | 2048.0 | 127.8 | -0.12 | 3133.2 | 3133.0 | 3134.2 | 3139.0 | 77.1 | 77.2 | 77.3 | 77.4 | 73.89 | 73.80 | 74.36 | 74.39 | 10.22 | 0.080 | 10.22 | 10.24 | 10.24 | 10.24 | 12505.8 | 12504.4 | 12509.1 | 12535.8 | 653.6 | 653.7 | 654.0 | 654.1 | 6.04 | 1.691 |
| Bonsai-4B | Q1_0 | 256.0 | 255.9 | -0.02 | 464.6 | 463.8 | 465.4 | 471.9 | 73.7 | 74.0 | 74.4 | 74.7 | 70.47 | 70.45 | 70.51 | 70.77 | 13.88 | 0.054 | 13.89 | 13.89 | 13.89 | 13.92 | 18432.0 | 18430.9 | 18438.1 | 18449.1 | 551.0 | 552.0 | 552.4 | 552.5 | 5.11 | 2.715 |
| Bonsai-4B | Q1_0 | 512.0 | 255.9 | -0.02 | 829.9 | 829.4 | 830.1 | 836.6 | 74.4 | 74.5 | 74.5 | 74.6 | 70.96 | 70.95 | 70.97 | 71.20 | 13.52 | 0.053 | 13.53 | 13.53 | 13.53 | 13.54 | 18921.0 | 18922.1 | 18929.3 | 18929.7 | 616.9 | 617.3 | 617.6 | 617.7 | 5.19 | 2.608 |
| Bonsai-4B | Q1_0 | 1024.0 | 255.7 | -0.14 | 1576.5 | 1576.2 | 1577.1 | 1582.2 | 75.5 | 75.5 | 75.5 | 75.6 | 71.99 | 71.89 | 72.19 | 72.93 | 12.84 | 0.050 | 12.84 | 12.86 | 12.86 | 12.86 | 19909.5 | 19909.0 | 19915.8 | 19917.6 | 649.5 | 649.7 | 649.9 | 650.0 | 5.34 | 2.403 |
| Bonsai-4B | Q1_0 | 2048.0 | 255.7 | -0.14 | 3133.8 | 3133.4 | 3134.6 | 3140.9 | 77.2 | 77.2 | 77.3 | 77.4 | 73.93 | 73.84 | 74.16 | 74.42 | 11.64 | 0.046 | 11.64 | 11.66 | 11.66 | 11.66 | 21960.2 | 21959.9 | 21965.8 | 21978.1 | 653.5 | 653.6 | 653.8 | 653.9 | 5.63 | 2.066 |
| Bonsai-4B | Q1_0 | 256.0 | 511.6 | -0.08 | 465.2 | 464.1 | 465.9 | 476.9 | 74.0 | 73.9 | 74.7 | 74.8 | 70.74 | 70.69 | 70.86 | 71.17 | 13.98 | 0.027 | 13.98 | 13.99 | 14.00 | 14.01 | 36586.3 | 36585.2 | 36597.9 | 36601.8 | 550.3 | 551.6 | 552.0 | 552.1 | 5.07 | 2.756 |
| Bonsai-4B | Q1_0 | 512.0 | 511.6 | -0.08 | 829.9 | 829.6 | 830.0 | 835.4 | 74.5 | 74.4 | 74.6 | 75.2 | 71.22 | 71.17 | 71.32 | 71.68 | 13.75 | 0.027 | 13.75 | 13.76 | 13.77 | 13.77 | 37197.3 | 37197.8 | 37206.3 | 37209.4 | 616.9 | 617.2 | 617.4 | 617.6 | 5.11 | 2.690 |
| Bonsai-4B | Q1_0 | 1024.0 | 511.6 | -0.08 | 1576.9 | 1576.7 | 1577.6 | 1582.1 | 75.5 | 75.5 | 75.7 | 76.2 | 72.17 | 72.14 | 72.28 | 72.52 | 13.31 | 0.026 | 13.31 | 13.32 | 13.32 | 13.35 | 38427.0 | 38430.3 | 38442.9 | 38446.7 | 649.4 | 649.5 | 649.7 | 649.9 | 5.20 | 2.560 |
| Bonsai-4B | Q1_0 | 2048.0 | 499.5 | -2.44 | 3133.9 | 3133.3 | 3134.7 | 3140.1 | 77.2 | 77.2 | 77.3 | 77.6 | 74.10 | 74.04 | 74.29 | 74.32 | 12.46 | 0.025 | 12.46 | 12.48 | 12.48 | 12.48 | 40072.4 | 40068.0 | 40080.5 | 40120.9 | 653.5 | 653.6 | 653.8 | 653.9 | 5.39 | 2.313 |
| Bonsai-8B | Q1_0 | 256 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 512 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 1024 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 256 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 512 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 1024 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 256 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 512 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Bonsai-8B | Q1_0 | 1024 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 128.0 | 0.00 | 238.5 | 235.2 | 235.9 | 288.1 | 27.7 | 28.9 | 29.1 | 32.1 | 26.16 | 26.16 | 26.20 | 26.23 | 35.89 | 0.280 | 35.95 | 35.98 | 35.99 | 36.03 | 3560.7 | 3557.7 | 3563.4 | 3596.4 | 1076.2 | 1088.4 | 1089.8 | 1091.1 | 6.82 | 5.259 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 128.0 | 0.00 | 418.0 | 413.8 | 414.7 | 481.4 | 29.2 | 29.2 | 29.3 | 30.1 | 26.53 | 26.53 | 26.55 | 26.58 | 33.74 | 0.264 | 33.80 | 33.84 | 33.86 | 33.88 | 3787.3 | 3782.8 | 3787.6 | 3853.9 | 1226.8 | 1237.4 | 1238.6 | 1239.5 | 6.93 | 4.869 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 128.0 | -0.04 | 772.9 | 772.5 | 773.6 | 779.3 | 30.2 | 30.1 | 30.3 | 30.9 | 27.32 | 27.30 | 27.34 | 27.48 | 30.13 | 0.235 | 30.17 | 30.18 | 30.20 | 30.22 | 4241.0 | 4240.3 | 4245.3 | 4250.7 | 1324.8 | 1325.6 | 1326.3 | 1327.6 | 7.04 | 4.280 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 128.0 | -0.04 | 1516.1 | 1515.5 | 1517.3 | 1522.9 | 31.3 | 31.3 | 31.5 | 31.5 | 28.74 | 28.74 | 28.82 | 28.88 | 24.75 | 0.193 | 24.77 | 24.77 | 24.83 | 24.84 | 5165.0 | 5162.1 | 5175.7 | 5176.7 | 1350.8 | 1351.4 | 1352.3 | 1352.6 | 7.10 | 3.486 |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 255.9 | -0.04 | 235.6 | 235.0 | 235.6 | 242.1 | 28.9 | 28.7 | 29.5 | 29.6 | 26.07 | 26.05 | 26.10 | 26.23 | 37.15 | 0.145 | 37.19 | 37.22 | 37.24 | 37.25 | 6880.0 | 6877.4 | 6887.3 | 6899.0 | 1086.8 | 1089.1 | 1090.4 | 1091.4 | 6.69 | 5.553 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 255.9 | -0.04 | 413.8 | 413.5 | 413.8 | 419.0 | 29.1 | 29.1 | 29.3 | 29.9 | 26.45 | 26.44 | 26.50 | 26.54 | 35.73 | 0.140 | 35.76 | 35.78 | 35.79 | 35.82 | 7155.6 | 7154.6 | 7162.4 | 7168.7 | 1237.4 | 1238.3 | 1239.1 | 1239.5 | 6.71 | 5.323 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 255.9 | -0.02 | 772.4 | 772.2 | 772.4 | 777.8 | 29.9 | 29.9 | 30.0 | 30.1 | 27.20 | 27.19 | 27.22 | 27.28 | 33.18 | 0.130 | 33.21 | 33.22 | 33.23 | 33.24 | 7706.8 | 7705.3 | 7712.4 | 7720.0 | 1325.8 | 1326.1 | 1327.1 | 1328.1 | 6.76 | 4.907 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 256.1 | 0.04 | 1515.4 | 1514.9 | 1516.6 | 1521.4 | 31.3 | 31.3 | 31.5 | 31.6 | 28.73 | 28.70 | 28.81 | 28.81 | 28.93 | 0.113 | 28.96 | 28.99 | 29.00 | 29.09 | 8844.1 | 8836.1 | 8861.9 | 8863.9 | 1351.5 | 1351.9 | 1352.8 | 1353.2 | 6.96 | 4.159 |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 500.9 | -2.17 | 235.4 | 235.0 | 236.0 | 241.4 | 28.7 | 28.7 | 28.8 | 28.8 | 26.22 | 26.23 | 26.24 | 26.25 | 37.51 | 0.075 | 37.54 | 37.54 | 37.57 | 37.67 | 13342.4 | 13639.3 | 13644.9 | 13646.1 | 1087.5 | 1089.6 | 1090.9 | 1091.8 | 6.71 | 5.591 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 511.8 | -0.05 | 413.8 | 413.3 | 415.1 | 419.2 | 29.1 | 29.0 | 29.4 | 30.5 | 26.61 | 26.59 | 26.65 | 26.73 | 36.51 | 0.071 | 36.54 | 36.56 | 36.58 | 36.59 | 14005.0 | 14002.6 | 14015.5 | 14029.7 | 1237.2 | 1238.7 | 1239.8 | 1240.7 | 6.72 | 5.435 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 512.1 | 0.03 | 772.4 | 771.9 | 773.3 | 778.5 | 30.1 | 30.0 | 30.7 | 30.8 | 27.37 | 27.36 | 27.47 | 27.62 | 34.66 | 0.068 | 34.69 | 34.71 | 34.73 | 34.99 | 14764.3 | 14752.6 | 14790.3 | 14864.4 | 1325.7 | 1326.5 | 1327.8 | 1329.1 | 6.79 | 5.102 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 499.3 | -2.48 | 1515.6 | 1515.4 | 1515.9 | 1521.0 | 31.3 | 31.2 | 31.5 | 32.5 | 28.86 | 28.84 | 28.92 | 28.96 | 31.39 | 0.063 | 31.41 | 31.43 | 31.46 | 31.48 | 15894.9 | 15905.7 | 15937.2 | 15961.2 | 1351.3 | 1351.5 | 1352.3 | 1352.5 | 6.81 | 4.608 |
| Ternary-Bonsai-4B | Q2_0 | 256 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 512 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 1024 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 2048 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 256 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 512 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 1024 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 2048 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 256 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 512 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 1024 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-4B | Q2_0 | 2048 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 256 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 256 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 256 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
Per-Model Best Tok/J (optimal configuration)
| Model | Quant | Best Tok/J | at Prompt | at Gen | Tok/s | Power (W) |
|---|---|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 5.684 | 256 | 512 | 25.59 | 4.50 |
| Bonsai-4B | Q1_0 | 2.756 | 256 | 512 | 13.98 | 5.07 |
| Bonsai-8B | Q1_0 | — | — | — | — | — |
| Ternary-Bonsai-1.7B | Q2_0 | 5.591 | 256 | 512 | 37.51 | 6.71 |
| Ternary-Bonsai-4B | Q2_0 | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | — | — | — | — | — |
Thermal & Power Summary (per-model window)
| Model | Quant | Avg Power (W) | Peak TJ (°C) | Status |
|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 4.49 | 65.9 | OK |
| Bonsai-4B | Q1_0 | 5.15 | 66.2 | OK |
| Bonsai-8B | Q1_0 | — | — | Partial / No timing |
| Ternary-Bonsai-1.7B | Q2_0 | 3.34 | 69.2 | OK |
| Ternary-Bonsai-4B | Q2_0 | — | — | Partial / No timing |
| Ternary-Bonsai-8B | Q2_0 | — | — | OOM / Skipped |
Notes
- Bonsai-8B: 9/9 valid combos complete. ctx=2048 excluded by design (ctx cap 1536 = 1024 prompt + 512 gen max).
- Ternary-Bonsai-8B: Skipped — JetPack R36.4.7 NvMap regression bug. cudaMalloc fails for contiguous allocations ≥1.9 GB even on fresh boot. Same bug blocks all large Q4 models (Gemma 3 4B, Llama 3.1 8B) on this JetPack version. Fix: upgrade to JetPack 6.2.2 (L4T 36.5) via clean flash.
- Context window:
--no-cache-prompt -c 2560for 1.7B/4B models,-c 1536for 8B. - Power measurement:
VDD_CPU_GPU_CVrail (CPU + GPU + CV) fromtegrastats, 1 Hz sampling, averaged over each aiperf run window. - Concurrency: 1 (single-user; tok/J reflects single-inference energy cost).
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