Profile Job Results
Jobs
jpevzw905
Results Ready
Name
mediapipe_hand_gesture_CannedGestureClassifier
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
2/22/2026, 10:40:22 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
80.0 μs
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
129
| Stage | Time | Memory |
|---|---|---|
First App Load | 376 ms | 24‑25 MB |
Subsequent App Load | 201 ms | 1‑59 MB |
Inference | 80.0 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device