:orphan:

AI Models verified for OpenVINO™ - ONNX only

The following is a list of ONNX models that have been verified to work with OpenVINO. Note that other models may also work properly but have not been tested.

AI Models that run on Intel® Core Ultra™ Processors with OpenVINO™ toolkit:

.. data-table:: :class: modeldata stripe :name: supportedModelsTable :header-rows: 1 :file: ../../_static/download/supported_models_onnx.csv :data-column-hidden: [] :data-order: [[ 0, "asc" ]] :data-page-length: 10

| Marked cells indicate models that passed inference with no errors. Empty cells indicate models that were not tested. No failing runs producing an error have been recorded. | | In the precision column, the "optimum-intel default" label corresponds to FP32 for small models and INT8 for models greater than 1B parameters. | | The results as of December 18 2024, for OpenVINO version 2024.6. | The models come from different public model repositories, such as Pytorch Model Zoo and HuggingFace; they were executed on the designated hardware with OpenVINO either natively or as a backend.