Profile Job Results
Jobs
jp4vd6v1p
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
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, 256, 256, 3]Completion Time
10/26/2025, 2:17:25 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
590 μs
Estimated Peak Memory Usage
1 ‑ 54 MB
Compute Units
NPU
293
| Stage | Time | Memory |
|---|---|---|
First App Load | 985 ms | 187‑195 MB |
Subsequent App Load | 987 ms | 183‑331 MB |
Inference | 590 μs | 1‑54 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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