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

Profile Job Results

Jobs
jp12j2dkg
Results Ready
Name
fcn_resnet50
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]
Completion Time
3/11/2025, 5:35:44 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
2.07 s
Estimated Peak Memory Usage
3 ‑ 13 MB
Compute Units
NPU
129
StageTimeMemory
First App Load
571 ms0‑10 MB
Subsequent App Load
562 ms0‑10 MB
Inference
2.07 s3‑13 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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

Run on device