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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jgdex36e5
Results Ready
Name
fcn_resnet50
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, 520, 520, 3]
Completion Time
4/8/2025, 5:14:37 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
12.6 ms
Estimated Peak Memory Usage
1 ‑ 77 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
976 ms304‑312 MB
Subsequent App Load
1.05 s325‑441 MB
Inference
12.6 ms1‑77 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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