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Qualcomm® AI Hub Models
ResNet-Mixed-Convolution

Profile Job Results

Jobs
jgdn3vml5
Results Ready
Name
resnet_mixed
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]
Completion Time
3/11/2025, 9:39:24 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
14.3 ms
Estimated Peak Memory Usage
2 ‑ 4 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
208 ms0‑2 MB
Subsequent App Load
173 ms0‑2 MB
Inference
14.3 ms2‑4 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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