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FFNet-40S

Profile Job Results

Jobs
j5mn7047p
Results Ready
Name
ffnet_40s
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
1/8/2025, 7:06:54 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
66.4 ms
Estimated Peak Memory Usage
2 ‑ 45 MB
Compute Units
NPU
94
StageTimeMemory
First App Load
3.71 s278‑284 MB
Subsequent App Load
3.81 s322‑378 MB
Inference
66.4 ms2‑45 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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