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Qualcomm® AI Hub Models
Unet-Segmentation

Profile Job Results

Jobs
jpym88v4p
Results Ready
Name
unet_segmentation
Target Device
  • Samsung Galaxy S25
  • Android 15
  • Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
8/9/2026, 4:12:35 AM
Versions
  • Lite RT: 1.4.5
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 15 (AP3A.240905.015.A2)
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
82.6 ms
Estimated Peak Memory Usage
5 ‑ 337 MB
Compute Units
NPU
31
StageTimeMemory
First App Load
31.8 s556‑566 MB
Subsequent App Load
181 ms128‑459 MB
Inference
82.6 ms5‑337 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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