The invention discloses a large-scale face identification method based on GPU accelerated retrieval, which relates to the field of computer vision. The large-scale face identification method comprisesthe steps of face detection and alignment, face feature extraction, Hash feature acquisition, face index database establishment, multi-GPU accelerated Rough matching, hash-based candidate set acquisition, precise matching based on distance metric, voting to obtain a best-matched person and the like. The large-scale face identification method based on GPU accelerated retrieval is based on two-stage feature matching of Hash index and multi-GPU accelerated computing, can accelerate the screening of eigenvectors by utilizing the powerful parallel computing capacity of the GPU, greatly reduces time consumption on large-scale data set retrieval, and can meet various application requirements taking the implementation of a deep convolutional neural network as the basis and having high demand on real-time performance.