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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jpeozvoog
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
3/11/2025, 9:08:43 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-2025.03.06.0
Estimated Inference Time
10.6 ms
Estimated Peak Memory Usage
15 ‑ 34 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
122 ms0‑8 MB
Subsequent App Load
129 ms0‑7 MB
Inference
10.6 ms15‑34 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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