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PidNet

Profile Job Results

Jobs
jgkqe1ewg
Results Ready
Name
pidnet
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
6/28/2025, 12:43:22 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.34.2.250528164111_119506
  • QNN TfLite Delegate: v2.34.2.250528164111_119506
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.06.12.0
Estimated Inference Time
51.7 ms
Estimated Peak Memory Usage
0 ‑ 22 MB
Compute Units
NPU
204
StageTimeMemory
First App Load
2.22 s122‑123 MB
Subsequent App Load
2.22 s122‑125 MB
Inference
51.7 ms0‑22 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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