Profile Job Results
Jobs
jpevvyno5
Results Ready
Name
mediapipe_hand_gesture_float_CannedGestureClassifier
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
hand: float32[1, 64]mirrored_hand: float32[1, 64]Completion Time
2/1/2026, 4:22:07 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
101 μs
Estimated Peak Memory Usage
0 ‑ 25 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 374 ms | 24‑31 MB |
Subsequent App Load | 186 ms | 1‑27 MB |
Inference | 101 μs | 0‑25 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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