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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jg9lk9dmg
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
11/26/2024, 4:39:24 PM
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-2024.11.22.0
Estimated Inference Time
22.3 ms
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
NPU
90
StageTimeMemory
First App Load
2.56 s253‑259 MB
Subsequent App Load
2.63 s248‑304 MB
Inference
22.3 ms0‑39 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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