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RegNet

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Jobs
jp49dyzl5
Results Ready
Name
regnet
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
7/6/2026, 10:11:50 AM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.06.19.2
Estimated Inference Time
9.85 ms
Estimated Peak Memory Usage
1 ‑ 72 MB
Compute Units
NPU
188
StageTimeMemory
First App Load
7.16 s183‑190 MB
Subsequent App Load
600 ms1‑73 MB
Inference
9.85 ms1‑72 MB
QNNValue
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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