Profile Job Results
Jobs
jpew38v8p
Results Ready
Name
hrnet_pose_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 192, 3]Completion Time
10/5/2025, 12:34:55 AM
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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
4.51 ms
Estimated Peak Memory Usage
1 ‑ 41 MB
Compute Units
NPU
748
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.17 s | 220‑227 MB |
Subsequent App Load | 5.23 s | 249‑376 MB |
Inference | 4.51 ms | 1‑41 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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