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Jobs
jp1w0k37g
Results Ready
Name
pidnet
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
9/27/2025, 9:35:10 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.38.0.250901140452_125126
  • QNN TfLite Delegate: v2.38.0.250901140452_125126
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.09.23.1
Estimated Inference Time
48.5 ms
Estimated Peak Memory Usage
2 ‑ 36 MB
Compute Units
NPU
169
StageTimeMemory
First App Load
2.57 s254‑255 MB
Subsequent App Load
2.60 s282‑285 MB
Inference
48.5 ms2‑36 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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