Code example
MobileSAM Prompt Segmentation Example Application
Quantize MobileSAM with fixed point prompts, lower it through the ExecuTorch Arm backend, and run binary-mask segmentation on a Corstone-320 Ethos-U85 FVP.
Evaluation Conditions
Image Segmentation · Raspberry Pi 5 · INT8 · 1024×1024 · COCO 2017 (val2017)
| Metric | Resultsvs baseline | Change | |
|---|---|---|---|
| End to end latency p50 | 1892.89ms2053.20ms | −160.30 ms | |
| End to end latency p90 | 1898.85ms2064.11ms | −165.27 ms | |
| Peak memory | 320.83MB334.23MB | −13.40 MB | |
| Average memory | 318.53MB332.17MB | −13.64 MB | |
| Time to first inference | 1957.95ms2110.23ms | −152.28 ms | |
| Frames per second | 0.53fps0.49fps | +0.04 fps | |
| mIoU | 73.11%73.09% | +0.02% |
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| Configuration | Baseline | Arm Optimized |
|---|---|---|
| Dataset | COCO 2017 (val2017) | COCO 2017 (val2017) |
| Sample count | 5,000 | 5,000 |
| Batch size | 1 | 1 |
| Input resolution | 1024x1024 | 1024x1024 |
| Runs | 100 | 100 |
| Warmup runs | 10 | 10 |