Objective To study the method for RBF neural network accuracy prediction of color space conversion of display. Methods The modeling and testing data were obtained by automatic measurement through programming with MeasureTool software, and suitable functions and parameters for modeling were selected by repeated testing, finally simulation experiment was carried out using RBF neural network model, in order to obtain a better model for conversion of RGB to Lab color space. Results The average color difference obtained in RBF neural network model tests was 0.75, and the maximum color difference reached 19.7. Conclusion The results showed that this modeling method was simple and convenient, with fast network training speed, high conversion accuracy, and had good non-linear fitting capability and higher prediction accuracy in color space conversion of display.