Profile Job Results
Jobs
j57l3vw9g
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
10/5/2025, 5:32:25 PM
Options
--compute_unit cpu
Versions
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN Backend API: 1.1.0
- QNN Core API: 2.28.1
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
13.4 ms
Estimated Peak Memory Usage
13 ‑ 23 MB
Compute Units
CPU
187
Stage | Time | Memory |
---|---|---|
First App Load | 123 ms | 2‑11 MB |
Subsequent App Load | 110 ms | 7‑21 MB |
Inference | 13.4 ms | 13‑23 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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