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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jpy1qvm0p
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
11/26/2024, 4:42:03 PM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
268 ms
Estimated Peak Memory Usage
1 ‑ 7 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
444 ms9‑16 MB
Subsequent App Load
408 ms1‑7 MB
Inference
268 ms1‑7 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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