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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jgo2x76xp
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • Snapdragon 8 Elite QRD
  • Android 15
  • Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
1/8/2025, 10:04:05 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 15 (AQ3A.240829.003)
  • Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
10.8 ms
Estimated Peak Memory Usage
1 ‑ 45 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
1.16 s259‑266 MB
Subsequent App Load
1.34 s276‑332 MB
Inference
10.8 ms1‑45 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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