Profile Job Results
Jobs
jgk32l4v5
Results Ready
Name
movenet_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
11/29/2025, 11:54:49 PM
Options
--qairt_version latest --compute_unit cpuVersions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 1.1.0
- QNN Core API: 2.30.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
8.23 ms
Estimated Peak Memory Usage
13 ‑ 35 MB
Compute Units
CPU
187
| Stage | Time | Memory |
|---|---|---|
First App Load | 29.5 ms | 0‑8 MB |
Subsequent App Load | 28.9 ms | 0‑15 MB |
Inference | 8.23 ms | 13‑35 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| 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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