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Unet-Segmentation

Profile Job Results

Jobs
jgj2vynv5
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: uint8[1, 640, 1280, 3]
Completion Time
6/28/2025, 9:16:12 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.34.2.250528164111_119506
  • QNN TfLite Delegate: v2.34.2.250528164111_119506
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.06.12.0
Estimated Inference Time
37.6 ms
Estimated Peak Memory Usage
2 ‑ 864 MB
Compute Units
NPU
38
StageTimeMemory
First App Load
1.90 s317‑319 MB
Subsequent App Load
1.78 s312‑315 MB
Inference
37.6 ms2‑864 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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