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Profile Job Results

Jobs
jgdxw9vep
Results Ready
Name
posenet_mobilenet
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 513, 257, 3]
Completion Time
1/21/2025, 1:16:10 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
53.7 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
41
StageTimeMemory
First App Load
2.23 s88‑96 MB
Subsequent App Load
2.09 s72‑95 MB
Inference
53.7 ms0‑14 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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