Profile Job Results
Jobs
jgklwxk25
Results Ready
Name
mediapipe_hand_gesture_canned_gesture_classifier
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
hand: float32[1, 64]mirrored_hand: float32[1, 64]Completion Time
4/18/2026, 11:13:28 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
57.0 μs
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 184 ms | 31‑39 MB |
Subsequent App Load | 78.6 ms | 1‑23 MB |
Inference | 57.0 μs | 0‑20 MB |
| Lite RT | 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







