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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jp1y4jo2p
Results Ready
Name
fcn_resnet50
Target Device
  • Samsung Galaxy S23
  • Android 13
  • Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
4/8/2025, 5:14:36 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
16.7 ms
Estimated Peak Memory Usage
0 ‑ 122 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
16.1 min173‑174 MB
Subsequent App Load
15.7 min203‑205 MB
Inference
16.7 s0‑122 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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