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Jobs
j5weovq65
Results Ready
Name
posenet_mobilenet_quantized
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]
Completion Time
1/21/2025, 1:48:41 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.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
980 μs
Estimated Peak Memory Usage
0 ‑ 18 MB
Compute Units
NPU
48
StageTimeMemory
First App Load
1.49 s57‑69 MB
Subsequent App Load
1.40 s50‑77 MB
Inference
980 μs0‑18 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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