Profile Job Results
Jobs
jp1wxjjkg
Results Ready
Name
bisenet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
10/5/2025, 5:57:58 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.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
120 ms
Estimated Peak Memory Usage
3 ‑ 78 MB
Compute Units
NPU
82
| Stage | Time | Memory |
|---|---|---|
First App Load | 13.5 s | 277‑286 MB |
Subsequent App Load | 14.1 s | 268‑429 MB |
Inference | 120 ms | 3‑78 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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