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Qualcomm® AI Hub Models
MediaPipe-Hand-Detection

Profile Job Results

Jobs
jp1y4d32p
Results Ready
Name
mediapipe_hand_HandDetector
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
4/8/2025, 11:28:41 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
1.45 ms
Estimated Peak Memory Usage
1 ‑ 27 MB
Compute Units
NPU
195
StageTimeMemory
First App Load
559 ms70‑79 MB
Subsequent App Load
589 ms66‑116 MB
Inference
1.45 ms1‑27 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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