1. An computer-implemented information processing method for a convolutional neural network processing input data, comprising: identifying, by a computer, for each of elements of a kernel used in convolution operation, input values to be multiplied by the respective elements in the convolution operation from among input values included in the input data; calculating a sum total of identified input values; calculating, for each of the elements of the kernel, a product of the sum total and the element; calculating an average of calculated products; and performing the convolution operation within the convolutional neural network based on the average of the calculated products.