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MediaPipe-Pose-Estimation

Profile Job Results

Jobs
jgonoe3xp
Results Ready
Name
mediapipe_pose_PoseLandmarkDetector
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
8/9/2025, 8:32:19 PM
Versions
  • QAIRT: v2.34.2.250528164111_119506-auto
  • QNN Backend API: 5.34.0
  • QNN Core API: 2.25.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.07.25.0
Estimated Inference Time
1.38 ms
Estimated Peak Memory Usage
1 ‑ 19 MB
Compute Units
NPU
291
StageTimeMemory
First App Load
2.02 s22‑28 MB
Subsequent App Load
1.95 s71‑105 MB
Inference
1.38 ms1‑19 MB
QNNValue
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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