Profile Job Results
Jobs
j5m6y44yg
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
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
10/4/2025, 11:12:18 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN TfLite Delegate: v2.38.0.250901140452_125126-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
1.48 ms
Estimated Peak Memory Usage
0 ‑ 34 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.44 s | 149‑155 MB |
Subsequent App Load | 1.39 s | 118‑232 MB |
Inference | 1.48 ms | 0‑34 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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