Milking speed is a functional trait that increases productivity by lowering costs. Milking speed is subject to strict selection, as optimum milking speed accelerates the milking process and has a positive effect on udder health. In the performance test, the average milk yield per minute is used as the main feature for breeding value estimation. Over time, various types of performance tests for milking speed have been developed. Milking speed is recorded by means of owner surveys, stopwatch method and lactocorder test. The advantage of milking speed data acquisition in the automated milking system is that data is available across lactations and from every single milking. This enormous amount of data can significantly increase the reliability of the estimated breeding values. Milking speed has a heritability of 0.20 to 0.35. The influencing environmental factors are the milking technique, but also the preparation time and the blind milking times affect the milking speed considerably. Another factor is the milking interval, which is an important issue, especially in individual milking intervals in automatic milking systems. In the present study, the data of two manufacturers, which are very different in the milking speed data recording, were analysed. Using the available data, the influence of the milking interval and the repeatability of the trait were analysed. By using the longest quarter milking duration, the comparison is possible with conventional performance tests. Regression coefficients can be used to correct for the effect of the varying milking interval. However, in the course of this study, regression coefficients were determined and examples were calculated. With the regression coefficients using the time for the quarter taking longest, comparability is given. The prerequisite is good cooperation between performance testing and producer companies in order to achieve the best possible results for the farmers.