Profile Job Results
Jobs
jpvvrne7p
Results Ready
Name
movenet_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
10/25/2025, 7:19:15 PM
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.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
13.7 ms
Estimated Peak Memory Usage
13 ‑ 24 MB
Compute Units
CPU
187
| Stage | Time | Memory |
|---|---|---|
First App Load | 129 ms | 9‑19 MB |
Subsequent App Load | 126 ms | 9‑22 MB |
Inference | 13.7 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device