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Unet-Segmentation

Profile Job Results

Jobs
j56z6oe6g
Results Ready
Name
unet_segmentation
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
9/27/2025, 4:13:29 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.38.0.250901140452_125126
  • QNN TfLite Delegate: v2.38.0.250901140452_125126
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.09.23.1
Estimated Inference Time
142 ms
Estimated Peak Memory Usage
6 ‑ 463 MB
Compute Units
NPU
31
StageTimeMemory
First App Load
6.89 s551‑552 MB
Subsequent App Load
6.69 s588‑591 MB
Inference
142 ms6‑463 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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