Profile Job Results
Jobs
jp2l91j6g
Results Ready
Name
hrnet_pose_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 192, 3]Completion Time
10/25/2025, 10:21:28 PM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
14.2 ms
Estimated Peak Memory Usage
1 ‑ 43 MB
Compute Units
NPU
748
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 11.2 s | 269‑279 MB | 
| Subsequent App Load | 11.1 s | 264‑394 MB | 
| Inference | 14.2 ms | 1‑43 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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