Profile Job Results
Jobs
jg9d0n7w5
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
hand: float32[1, 64]mirrored_hand: float32[1, 64]Completion Time
7/26/2026, 2:04:13 AM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
232 μs
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.11 s | 28‑33 MB |
Subsequent App Load | 313 ms | 1‑18 MB |
Inference | 232 μs | 0‑20 MB |
| Lite RT | 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 |
| htp_options.device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device