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Qualcomm® AI Hub Models
Unet-Segmentation

Profile Job Results

Jobs
jp046qj6g
Results Ready
Name
unet_segmentation
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
3/11/2025, 1:32:21 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
7.31 s
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
52
StageTimeMemory
First App Load
577 ms6‑15 MB
Subsequent App Load
679 ms3‑12 MB
Inference
7.31 s1‑10 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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