Image Classification using Mobilenet models¶
Install MLC following the installation page.
Mobilenet models are not official MLPerf models and so cannot be used for a Closed division MLPerf inference submission. But since they can be run with Imagenet dataset, we are allowed to use them for Open division submission. Only CPU runs are supported now.
TFLite Backend¶
Mobilenet V1¶
mlcr run,mobilenet-models,_tflite,_mobilenet-v1 \
--adr.compiler.tags=gcc
Mobilenet V2¶
mlcr run,mobilenet-models,_tflite,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V3¶
mlcr run,mobilenet-models,_tflite,_mobilenet-v3 \
--adr.compiler.tags=gcc
Mobilenet V1,V2,V3¶
mlcr run,mobilenet-models,_tflite,_mobilenet \
--adr.compiler.tags=gcc
Efficientnet¶
mlcr run,mobilenet-models,_tflite,_efficientnet \
--adr.compiler.tags=gcc
Mobilenets and Efficientnet¶
mlcr run,mobilenet-models,_tflite \
--adr.compiler.tags=gcc
ARMNN Backend¶
Mobilenet V1¶
mlcr run,mobilenet-models,_tflite,_armnn,_mobilenet-v1 \
--adr.compiler.tags=gcc
Mobilenet V2¶
mlcr run,mobilenet-models,_tflite,_armnn,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V2¶
mlcr run,mobilenet-models,_tflite,_armnn,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V1,V2,V3¶
mlcr run,mobilenet-models,_tflite,_armnn,_mobilenet \
--adr.compiler.tags=gcc
Efficientnet¶
mlcr run,mobilenet-models,_tflite,_armnn,_efficientnet \
--adr.compiler.tags=gcc
Mobilenets and Efficientnet¶
mlcr run,mobilenet-models,_tflite,_armnn \
--adr.compiler.tags=gcc