Profile Job Results
Jobs
j5wdo1e6g
Results Ready
Name
mediapipe_hand_gesture_hand_landmark_detector
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 224, 224, 3]Completion Time
4/25/2026, 11:25:17 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
473 μs
Estimated Peak Memory Usage
1 ‑ 2 MB
Compute Units
NPU
97
| Stage | Time | Memory |
|---|---|---|
First App Load | 772 ms | 66‑67 MB |
Subsequent App Load | 238 ms | 0‑71 MB |
Inference | 473 μs | 1‑2 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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