Profile Job Results
Jobs
j5m6njxwg
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
6/28/2025, 1:50:32 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
810 μs
Estimated Peak Memory Usage
0 ‑ 81 MB
Compute Units
NPU
219
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.03 s | 69‑70 MB |
Subsequent App Load | 1.04 s | 99‑102 MB |
Inference | 810 μs | 0‑81 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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