Abstract: A data fixed-point method, includes: calculating a maximum output value in a first target layer of a neural network for each input sample of a plurality of input samples; selecting at least two of a plurality of maximum output values as fixed-point reference values; determining a reference integer part bit width according to each of the fixed-point reference values; and performing an accuracy test based on a preset output value total bit width and each reference integer part bit width, to determine a reference integer part bit width with a highest accuracy as an integer part bit width used by the first target layer when output values are fixed-pointed.