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Unet-Segmentation

Profile Job Results

Jobs
j56eonm7g
Results Ready
Name
unet_segmentation
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
5/20/2025, 10:55:49 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.6.250402152434_116405
  • QNN TfLite Delegate: v2.32.6.250402152434_116405
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.05.14.0
Estimated Inference Time
164 ms
Estimated Peak Memory Usage
6 ‑ 466 MB
Compute Units
NPU
32
StageTimeMemory
First App Load
5.60 s518‑519 MB
Subsequent App Load
5.49 s538‑540 MB
Inference
164 ms6‑466 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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