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Posenet-Mobilenet

Profile Job Results

Jobs
jgl6v1llg
Results Ready
Name
posenet_mobilenet
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 513, 257, 3]
Completion Time
4/8/2025, 2:54:38 PM
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: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
2.77 ms
Estimated Peak Memory Usage
2 ‑ 11 MB
Compute Units
NPU
69
StageTimeMemory
First App Load
3.97 min0‑10 MB
Subsequent App Load
3.85 min0‑10 MB
Inference
2.77 s2‑11 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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