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FFNet-40S

Profile Job Results

Jobs
jpxk3yd85
Results Ready
Name
ffnet_40s
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
11/26/2024, 1:32:07 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-2024.11.22.0
Estimated Inference Time
35.2 ms
Estimated Peak Memory Usage
2 ‑ 34 MB
Compute Units
NPU
92
StageTimeMemory
First App Load
10.1 s281‑287 MB
Subsequent App Load
10.1 s297‑342 MB
Inference
35.2 ms2‑34 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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