Profile Job Results
Jobs
jgzjkwwzp
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
10/4/2025, 11:26:15 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
470 μs
Estimated Peak Memory Usage
0 ‑ 41 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 651 ms | 121‑129 MB |
Subsequent App Load | 628 ms | 62‑175 MB |
Inference | 470 μs | 0‑41 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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