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Unet-Segmentation

Profile Job Results

Jobs
jpyxd4j05
Results Ready
Name
unet_segmentation
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® Dragonwing™ QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 1280, 3]
Completion Time
8/22/2026, 5:13:08 PM
Versions
  • Lite RT: 1.4.5
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.08.14.0
Estimated Inference Time
32.8 ms
Estimated Peak Memory Usage
2 ‑ 399 MB
Compute Units
NPU
37
StageTimeMemory
First App Load
2.19 s286‑287 MB
Subsequent App Load
266 ms35‑866 MB
Inference
32.8 ms2‑399 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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