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Qualcomm® AI Hub Models
ResNet-Mixed-Convolution

Profile Job Results

Jobs
jp3vjx4xg
Results Ready
Name
resnet_mixed
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]
Completion Time
4/8/2025, 1:50:07 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.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
12.7 min
Estimated Peak Memory Usage
2 ‑ 12 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
9.12 min0‑11 MB
Subsequent App Load
6.75 min0‑10 MB
Inference
12.7 min2‑12 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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