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MediaPipe-Hand-Detection

Profile Job Results

Jobs
jpeedr40p
Results Ready
Name
mediapipe_hand_HandDetector
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
4/8/2025, 11:28:38 AM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
1.69 s
Estimated Peak Memory Usage
0 ‑ 17,643 GB
Compute Units
NPU
195
StageTimeMemory
First App Load
2.02 min456‑6,796 GB
Subsequent App Load
1.98 min288‑6,586 GB
Inference
1.69 s0‑17,643 GB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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