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RegNet

Profile Job Results

Jobs
jgdex8lz5
Results Ready
Name
regnet
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
4/8/2025, 2:21:46 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.0.250228225014_116386
  • QNN TfLite Delegate: v2.32.0.250228225014_116386
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
2.03 ms
Estimated Peak Memory Usage
0 ‑ 112 MB
Compute Units
NPU
114
StageTimeMemory
First App Load
1.90 s224‑225 MB
Subsequent App Load
1.90 s254‑255 MB
Inference
2.03 ms0‑112 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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