Profile Job Results
Jobs
jpr4o6keg
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
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, 8:18:42 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
350 μs
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 633 ms | 26‑31 MB |
Subsequent App Load | 156 ms | 0‑16 MB |
Inference | 350 μs | 0‑14 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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