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Unet-Segmentation

Profile Job Results

Jobs
jg990y18g
Results Ready
Name
unet_segmentation
Target Device
  • Snapdragon 7 Gen 4 QRD
  • Android 15
  • Snapdragon® 7 Gen 4 | SM7750
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 1280, 3]
Completion Time
5/3/2026, 1:10:00 AM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 15 (AQ3A.250411.001)
  • Build ID: Eliza.LA.1.0.r1-00181-STD.PROD-1
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
78.5 ms
Estimated Peak Memory Usage
0 ‑ 264 MB
Compute Units
NPU
37
StageTimeMemory
First App Load
21.9 s332‑339 MB
Subsequent App Load
169 ms34‑299 MB
Inference
78.5 ms0‑264 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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