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Qualcomm® AI Hub Models
Unet-Segmentation

Profile Job Results

Jobs
j57v2lz95
Results Ready
Name
unet_segmentation
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
5/3/2026, 1:09:03 AM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
317 ms
Estimated Peak Memory Usage
8 ‑ 588 MB
Compute Units
NPU
31
StageTimeMemory
First App Load
9.46 s636‑644 MB
Subsequent App Load
350 ms74‑653 MB
Inference
317 ms8‑588 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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