Profile Job Results
Jobs
jp4ww3dqg
Results Ready
Name
mediapipe_pose_float_PoseLandmarkDetector
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.5
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
2/1/2026, 2:22:25 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Qualcomm Linux: 1.5-ver.1.1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
1.23 ms
Estimated Peak Memory Usage
0 ‑ 10 MB
Compute Units
NPU
220
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.53 s | 163‑164 MB |
Subsequent App Load | 150 ms | 9‑10 MB |
Inference | 1.23 ms | 0‑10 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 | kHtpOptimizeForInference |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device