A new study from Apple Machine Learning Research evaluates modeling choices to balance perceptual quality with runtime efficiency. The team tested several novel techniques to bridge the gap between theoretical learned codecs and practical deployment. This research provides a blueprint for developers to optimize image codecs specifically for the human visual system without sacrificing speed.