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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jgdn3vnr5
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:11:21 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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
20.8 ms
Estimated Peak Memory Usage
1 ‑ 19 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
136 ms0‑6 MB
Subsequent App Load
139 ms0‑6 MB
Inference
20.8 ms1‑19 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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