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DeepLabV3-Plus-MobileNet-Quantized

Profile Job Results

Jobs
jp2xwm76g
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:20:22 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.0.250228225014_116386
  • QNN TfLite Delegate: v2.32.0.250228225014_116386
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
5.41 ms
Estimated Peak Memory Usage
0 ‑ 47 MB
Compute Units
NPU
136
StageTimeMemory
First App Load
2.54 s83‑92 MB
Subsequent App Load
2.32 s102‑183 MB
Inference
5.41 ms0‑47 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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