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PidNet

Profile Job Results

Jobs
jpxn0ev15
Results Ready
Name
pidnet
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
5/20/2025, 7:32:39 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.6.250402152434_116405
  • QNN TfLite Delegate: v2.32.6.250402152434_116405
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.05.14.0
Estimated Inference Time
50.1 ms
Estimated Peak Memory Usage
1 ‑ 23 MB
Compute Units
NPU
204
StageTimeMemory
First App Load
2.08 s78‑79 MB
Subsequent App Load
2.16 s115‑117 MB
Inference
50.1 ms1‑23 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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