Profile Job Results
Jobs
jgj241175
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
10/5/2025, 9:20:46 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
602 μs
Estimated Peak Memory Usage
0 ‑ 56 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 891 ms | 173‑181 MB |
Subsequent App Load | 910 ms | 203‑352 MB |
Inference | 602 μs | 0‑56 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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