Profile Job Results
Jobs
jp8mv86z5
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
10/5/2025, 1:43:02 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
791 μs
Estimated Peak Memory Usage
0 ‑ 78 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 949 ms | 165‑167 MB |
Subsequent App Load | 952 ms | 96‑227 MB |
Inference | 791 μs | 0‑78 MB |
| TensorFlow Lite | 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.useConvHmx | true |
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