The Inception Score is a metric used to evaluate the quality of images generated by GANs. It assesses both the diversity and clarity of generated images by using a pre-trained Inception model to classify the images and measure their distinctiveness. A higher Inception Score indicates that the generated images are both varied and realistic, reflecting the model's ability to produce high-quality outputs that closely resemble real data.