Abstract: An apparatus for evaluating the performance of a deep learning model according to an embodiment may include an image processor configured to generate N (N?2) different second image data through data augmentation of first image data that is not labeled and transmit the generated second image data to a deep learning model, and an analyzer configured to analyze whether the deep learning model has output a correct answer by receiving N output data obtained by predicting each of the N second image data into a specific class from the deep learning model.