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BiseNet

Profile Job Results

Jobs
jpvqd0xkg
Results Ready
Name
bisenet
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]
Completion Time
3/11/2025, 7:35:13 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
35.7 ms
Estimated Peak Memory Usage
3 ‑ 20 MB
Compute Units
NPU
79
StageTimeMemory
First App Load
163 ms0‑6 MB
Subsequent App Load
164 ms0‑6 MB
Inference
35.7 ms3‑20 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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