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FCN-ResNet50-Quantized

Profile Job Results

Jobs
j0pxzmr95
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 512, 3]
Completion Time
8/27/2024, 9:56:41 AM
Versions
  • QNN: v2.25.0.240728104910_97711
  • QNN Backend API: 5.25.0
  • QNN Core API: 2.18.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.08.23.0
Estimated Inference Time
17.1 ms
Estimated Peak Memory Usage
1 - 36 MB
Compute Units
NPU
78
StageTimeMemory
First App Load
1.42 s323-332 MB
Subsequent App Load
1.32 s232-316 MB
Inference
17.1 ms1-36 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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