Profile Job Results
Jobs
jgj0odwep
Results Ready
Name
mediapipe_hand_hand_landmark_detector
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
4/4/2026, 8:08:32 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
2.25 ms
Estimated Peak Memory Usage
1 ‑ 36 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.38 s | 63‑69 MB |
Subsequent App Load | 178 ms | 15‑52 MB |
Inference | 2.25 ms | 1‑36 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 |
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