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ResNet-Mixed-Convolution

Profile Job Results

Jobs
jpym10w0p
Results Ready
Name
resnet_mixed
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: uint8[1, 16, 112, 112, 15]
Completion Time
7/26/2026, 1:27:31 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-2026.07.17.0
Estimated Inference Time
82.8 ms
Estimated Peak Memory Usage
2 ‑ 337 MB
Compute Units
NPU
58
StageTimeMemory
First App Load
40.5 s332‑338 MB
Subsequent App Load
531 ms2‑338 MB
Inference
82.8 ms2‑337 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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