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PidNet

Profile Job Results

Jobs
j56e7dn6g
Results Ready
Name
pidnet
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
5/13/2025, 2:27:12 PM
Versions
  • QAIRT: v2.32.6.250402152434_116405-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-2025.05.02.0
Estimated Inference Time
53.6 ms
Estimated Peak Memory Usage
24 ‑ 42 MB
Compute Units
NPU
206
StageTimeMemory
First App Load
151 ms0‑7 MB
Subsequent App Load
154 ms0‑7 MB
Inference
53.6 ms24‑42 MB
QNNValue
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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