Profile Job Results
Jobs
j5mw1nx9p
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: uint8[1, 224, 224, 3]Completion Time
4/18/2026, 11:43:47 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
401 μs
Estimated Peak Memory Usage
0 ‑ 46 MB
Compute Units
NPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 466 ms | 56‑64 MB |
Subsequent App Load | 191 ms | 1‑48 MB |
Inference | 401 μs | 0‑46 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 |
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