Profile Job Results
Jobs
j5wd06o3g
Results Ready
Name
mediapipe_hand_gesture_hand_landmark_detector
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 224, 224, 3]Completion Time
4/18/2026, 11:33:11 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
953 μs
Estimated Peak Memory Usage
0 ‑ 46 MB
Compute Units
NPU
97
| Stage | Time | Memory |
|---|---|---|
First App Load | 696 ms | 129‑137 MB |
Subsequent App Load | 171 ms | 1‑48 MB |
Inference | 953 μs | 0‑46 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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