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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jpxk3ex85
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • Samsung Galaxy S24 (Family)
  • 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
11/26/2024, 4:38:28 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
12.9 ms
Estimated Peak Memory Usage
1 ‑ 42 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
2.03 s290‑298 MB
Subsequent App Load
2.02 s183‑285 MB
Inference
12.9 ms1‑42 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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