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Qualcomm® AI Hub Models
MediaPipe-Hand-Detection

Profile Job Results

Jobs
j5wek7dm5
Results Ready
Name
mediapipe_hand_MediaPipeHandLandmarkDetector
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
1/8/2025, 6:05:52 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
1.91 ms
Estimated Peak Memory Usage
1 ‑ 25 MB
Compute Units
NPU
208
StageTimeMemory
First App Load
825 ms89‑97 MB
Subsequent App Load
942 ms110‑173 MB
Inference
1.91 ms1‑25 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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