Profile Job Results
Jobs
jgj0od97p
Results Ready
Name
mediapipe_hand_gesture_hand_landmark_detector
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 224, 224, 3]Completion Time
4/4/2026, 8:18:34 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
348 μs
Estimated Peak Memory Usage
0 ‑ 50 MB
Compute Units
NPU
63
| Stage | Time | Memory |
|---|---|---|
First App Load | 591 ms | 98‑105 MB |
Subsequent App Load | 156 ms | 1‑52 MB |
Inference | 348 μs | 0‑50 MB |
| TensorFlow Lite | 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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