A method of providing optimized settings of graphics parameters for a computer gaming application includes: consolidating data related to settings of graphics parameters for different computer hardware equipment and respective performance values; training a machine learning model based on the consolidated data; determining a weight for each setting of a graphics parameter, by the trained machine learning model; for each set of graphics parameters, predicting a performance value achievable by the computer gaining application when it is executed on a specific type of computer, by the trained machine learning model; assigning a priority value to each graphics parameter based on its contribution to the performance value; choosing or generating at least one set of graphics parameters providing an optimized performance value, based on the predicted performance value associated with each set of graphics parameters and the determined weight for each graphics parameter and/or based on the assigned priority value.