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Qualcomm® AI Hub Models
Unet-Segmentation

Profile Job Results

Jobs
jgdqw6or5
Results Ready
Name
unet_segmentation
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]
Completion Time
9/27/2025, 3:36:06 PM
Versions
  • QAIRT: v2.38.0.250901140452_125126
  • QNN Backend API: 5.38.0
  • QNN Core API: 2.28.1
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.09.23.1
Estimated Inference Time
35.8 ms
Estimated Peak Memory Usage
2 ‑ 26 MB
Compute Units
NPU
51
StageTimeMemory
First App Load
2.17 s351‑353 MB
Subsequent App Load
2.11 s352‑354 MB
Inference
35.8 ms2‑26 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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