Profile Job Results
Jobs
j57jk0rl5
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
hand: float32[1, 64]mirrored_hand: float32[1, 64]Completion Time
4/4/2026, 8:28:48 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
80.0 μs
Estimated Peak Memory Usage
0 ‑ 57 MB
Compute Units
NPU
95
| Stage | Time | Memory |
|---|---|---|
First App Load | 380 ms | 26‑27 MB |
Subsequent App Load | 164 ms | 1‑59 MB |
Inference | 80.0 μs | 0‑57 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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