Profile Job Results
Jobs
jg93kj3wg
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
hand: uint8[1, 64]mirrored_hand: uint8[1, 64]Completion Time
4/4/2026, 8:45:49 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
77.0 μs
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
99
| Stage | Time | Memory |
|---|---|---|
First App Load | 372 ms | 24‑25 MB |
Subsequent App Load | 191 ms | 1‑26 MB |
Inference | 77.0 μs | 0‑1 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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