Profile Job Results
Jobs
jpv72e4jp
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
hand: uint8[1, 64]mirrored_hand: uint8[1, 64]Completion Time
8/9/2026, 12:12:00 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
118 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
99
| Stage | Time | Memory |
|---|---|---|
First App Load | 396 ms | 88‑89 MB |
Subsequent App Load | 169 ms | 2 MB |
Inference | 118 μs | 0‑2 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device