Profile Job Results
Jobs
jglkkl8jp
Results Ready
Name
mediapipe_hand_gesture_float_CannedGestureClassifier
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
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, 3:02:28 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
82.0 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 455 ms | 26‑27 MB |
Subsequent App Load | 179 ms | 1‑18 MB |
Inference | 82.0 μs | 0‑2 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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