Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
FCN-ResNet50-Quantized

Profile Job Results

Jobs
jp12j828g
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:09:16 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-2025.03.06.0
Estimated Inference Time
14.1 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
130
StageTimeMemory
First App Load
173 ms0‑1 MB
Subsequent App Load
168 ms0‑2 MB
Inference
14.1 ms1‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

Sign up to run this model on a hosted Qualcomm® device!

Run on device