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FCN-ResNet50-Quantized

Profile Job Results

Jobs
jpyzxd18g
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • Snapdragon 8 Elite QRD
  • Android 15
  • Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:08:39 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.0.250228225014_116386
  • QNN TfLite Delegate: v2.32.0.250228225014_116386
  • Android: 15 (AQ3A.241126.002)
  • Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
10.8 ms
Estimated Peak Memory Usage
0 ‑ 49 MB
Compute Units
NPU
90
StageTimeMemory
First App Load
864 ms301‑308 MB
Subsequent App Load
878 ms293‑353 MB
Inference
10.8 ms0‑49 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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