Profile Job Results
Jobs
jp02xrxe5
Results Ready
Name
unet_segmentation
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
9/13/2025, 10:13:42 PM
Versions
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN Backend API: 5.37.0
- QNN Core API: 2.27.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.09.05.0
Estimated Inference Time
944 ms
Estimated Peak Memory Usage
3 ‑ 131 MB
Compute Units
NPU
51
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.50 min | 600‑609 MB |
Subsequent App Load | 1.55 min | 595‑811 MB |
Inference | 944 ms | 3‑131 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 |
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