Physical-device validation
The exact compiled artifact in this release was embedded in a fresh validation
application and run on massif iPhone, an iPhone 15 Pro with iOS 27.0. The
application used a separate Bundle ID, separate DerivedData, and did not modify
or launch the product host application.
Gate
- Verify the compiled asset metadata and source hash before model loading.
- Load with
CoreAILanguageModel, eager mode, and fixed-size KV cache. - Generate an exact short marker.
- Read an exact marker from the tail of a 1,861-token prompt.
- Unload and record process memory.
Result
| Check | Result |
|---|---|
Source .aimodel main SHA-256 |
18f1fb8e...7a668a6 |
Compiled main-h16p.mlirb SHA-256 |
192850a8...5933bb |
| Fresh load | 37.161 s |
| Short marker | COREAI-2K-OK |
| Short TTFT / visible decode | 0.971 s / 23.798 tok/s |
| Near-2K input | 1,861 tokens |
| Tail marker | TARGET-2K-0046 |
| Near-2K TTFT / visible decode | 2.063 s / 19.466 tok/s |
| Peak process RSS | 2,742.2 MiB |
| Resident memory after unload | 206.4 MiB |
| Suite | COREAI_SUITE_PASS, 2 / 2 |
The first packaging attempt exposed a root-metadata defect: it still pointed to
the authoring .aimodel even though the release contained the compiled
.aimodelc. The published directory fixes the root entry to
qwen3_1_7b_w8_2k_ios.h16p.aimodelc; the model binary itself is unchanged.
This gate proves that the package loads and generates at the 2K boundary on the tested device. It is not a product-quality benchmark, long-duration thermal test, background-execution guarantee, or compatibility claim for other chips.