Profile Job Results

Jobs
j1pv2mlzg
Results Ready
Name
hrnet_pose_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]
Completion Time
8/11/2024, 8:43:02 AM
Versions
  • TensorFlow Lite: 2.16.1
  • QNN TfLite Delegate: v2.24.0.240626131148_96320
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.08.01.0
Estimated Inference Time
0.95 ms
Estimated Peak Memory Usage
0 - 3 MB
Compute Units
NPU
518
StageTimeMemory
First App Load
922 ms145-146 MB
Subsequent App Load
205 ms29-100 MB
Inference
0.95 ms0-3 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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