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Qualcomm® AI Hub Models
ResNet-Mixed-Convolution-Quantized

Profile Job Results

Jobs
jp04jrq6g
Results Ready
Name
resnet_mixed_quantized
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]
Completion Time
3/11/2025, 9:54:16 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
4.20 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
163 ms0‑2 MB
Subsequent App Load
164 ms0‑2 MB
Inference
4.20 ms1‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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