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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jz5wrxyjp
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • Samsung Galaxy S24+
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 512, 3]
Completion Time
8/27/2024, 10:00:11 AM
Versions
  • QNN: v2.25.0.240728104910_97711
  • QNN Backend API: 5.25.0
  • QNN Core API: 2.18.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.08.23.0
Estimated Inference Time
10.9 ms
Estimated Peak Memory Usage
1 - 32 MB
Compute Units
NPU
78
StageTimeMemory
First App Load
911 ms290-297 MB
Subsequent App Load
812 ms90-172 MB
Inference
10.9 ms1-32 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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