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MediaPipe-Pose-Estimation

Profile Job Results

Jobs
jqpyyvk7p
Results Ready
Name
mediapipe_pose_MediaPipePoseLandmarkDetector
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
8/27/2024, 11:29:30 AM
Versions
  • QNN: v2.25.0.240728104910_97711
  • QNN Backend API: 5.25.0
  • QNN Core API: 2.18.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.08.23.0
Estimated Inference Time
0.90 ms
Estimated Peak Memory Usage
1 - 2 MB
Compute Units
NPU
290
StageTimeMemory
First App Load
177 ms1-2 MB
Subsequent App Load
188 ms1-2 MB
Inference
0.90 ms1-2 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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