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MediaPipe-Hand-Detection

Profile Job Results

Jobs
jg9jl39v5
Results Ready
Name
mediapipe_hand_HandLandmarkDetector
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
4/8/2025, 11:27:28 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
1.03 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
208
StageTimeMemory
First App Load
153 ms0‑1 MB
Subsequent App Load
151 ms0‑4 MB
Inference
1.03 ms1‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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