Profile Job Results
Jobs
jgl32qoeg
Results Ready
Name
movenet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
10/26/2025, 2:50:13 AM
Options
--qairt_version latest --compute_unit cpuVersions
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN Backend API: 1.1.0
- 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
20.1 ms
Estimated Peak Memory Usage
13 ‑ 24 MB
Compute Units
CPU
187
| Stage | Time | Memory |
|---|---|---|
First App Load | 183 ms | 14‑23 MB |
Subsequent App Load | 148 ms | 19‑33 MB |
Inference | 20.1 ms | 13‑24 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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