Profile Job Results
Jobs
jgdqw6qr5
Results Ready
Name
unet_segmentation
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
9/28/2025, 8:45:21 AM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
138 ms
Estimated Peak Memory Usage
10 ‑ 56 MB
Compute Units
NPU
51
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.5 s | 563‑564 MB |
Subsequent App Load | 26.3 s | 594‑596 MB |
Inference | 138 ms | 10‑56 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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