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MediaPipe-Pose-Estimation

Profile Job Results

Jobs
jpyr14645
Results Ready
Name
mediapipe_pose_PoseLandmarkDetector
Target Device
  • Samsung Galaxy S23
  • Android 13
  • Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
4/8/2025, 11:19:42 AM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
810 μs
Estimated Peak Memory Usage
1 ‑ 36 MB
Compute Units
NPU
290
StageTimeMemory
First App Load
13.7 min46‑47 MB
Subsequent App Load
13.2 min75‑78 MB
Inference
810 ms1‑36 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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