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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jgkeor4vg
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
11/26/2024, 4:39:40 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
14.2 ms
Estimated Peak Memory Usage
1 ‑ 2 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
210 ms1‑2 MB
Subsequent App Load
183 ms3‑5 MB
Inference
14.2 ms1‑2 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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