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Qualcomm® AI Hub Models
ResNet-Mixed-Convolution

Profile Job Results

Jobs
jp8xo0wqg
Results Ready
Name
resnet_mixed
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: uint16[1, 16, 112, 112, 3]
Completion Time
9/5/2026, 11:30:48 PM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2026.08.28.1
Estimated Inference Time
16.1 ms
Estimated Peak Memory Usage
1 ‑ 194 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
6.23 s248‑253 MB
Subsequent App Load
170 ms2‑195 MB
Inference
16.1 ms1‑194 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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