The invention discloses a face age estimation method based on an inverted residual network. The face age estimation method comprises the following steps: 1, performing preprocessing such as face detection and face alignment on a face data set; 2, dividing the data set into a training set and a test set; 3, performing data enhancement operation on the training set to serve as input of a training sample; 4, establishing a network model based on the inverted residual error; 5, taking the training sample after data enhancement as the input of the model, and training to obtain a final target training model based on the inverted residual network by using a back propagation minimum loss function; and 6, testing the target training model obtained in the step 5 by using a test set to obtain age estimation of the tested face image. According to the method, a traditional deep learning network model is abandoned, the network model based on the inverted residual error is adopted for face age estimation, on the premise that the age estimation precision is not reduced, parameters of the network model are greatly reduced, and the performance of the network model is remarkably improved.