Profile Job Results
Jobs
jpew3vk7p
Results Ready
Name
unet_segmentation_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
10/4/2025, 9:02:54 PM
Versions
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
239 ms
Estimated Peak Memory Usage
1 ‑ 123 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.29 min | 590‑600 MB |
Subsequent App Load | 1.30 min | 585‑795 MB |
Inference | 239 ms | 1‑123 MB |
| QNN | Value |
|---|---|
| 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 |
| device_options.htp_options[0].device_id | 1 |
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