Profile Job Results
Jobs
j5wd8w1mg
Results Ready
Name
mediapipe_hand_hand_detector
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
4/4/2026, 8:08:50 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
1.33 ms
Estimated Peak Memory Usage
0 ‑ 42 MB
Compute Units
NPU
149
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.71 s | 65‑70 MB |
Subsequent App Load | 288 ms | 6‑49 MB |
Inference | 1.33 ms | 0‑42 MB |
| TensorFlow Lite | 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 |
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