Profile Job Results
Jobs
j57v20ov5
Results Ready
Name
mediapipe_hand_gesture_hand_landmark_detector
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 224, 224, 3]Completion Time
5/2/2026, 11:59:01 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
980 μs
Estimated Peak Memory Usage
0 ‑ 47 MB
Compute Units
NPU
63
| Stage | Time | Memory |
|---|---|---|
First App Load | 654 ms | 109‑117 MB |
Subsequent App Load | 171 ms | 1‑49 MB |
Inference | 980 μs | 0‑47 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device