Profile Job Results
Jobs
jgne88wqg
Results Ready
Name
mediapipe_pose_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
3/14/2026, 9:37:51 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
823 μs
Estimated Peak Memory Usage
0 ‑ 22 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.06 s | 72‑73 MB |
Subsequent App Load | 202 ms | 9‑51 MB |
Inference | 823 μs | 0‑22 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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