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MediaPipe-Pose-Estimation

Profile Job Results

Jobs
jpxnk7195
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
4/8/2025, 11:21:20 AM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
806 ms
Estimated Peak Memory Usage
1 ‑ 4 MB
Compute Units
NPU
290
StageTimeMemory
First App Load
2.84 min1‑2 MB
Subsequent App Load
2.71 min0‑2 MB
Inference
806 ms1‑4 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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