This paper evaluates an existing acceleration algorithm for biometric identification. In identification based on biometric images, the number of image comparisons is an important factor to estimate the total processing time in addition to the processing time of a single image comparison. Maeda et al. proposed an identification algorithm which reduces the number of image comparisons. This paper evaluates the algorithm in terms of the time and the accuracy with the features extracted by SIFT from palmprint images. The evaluation in this paper proves that the algorithm is applicable to the SIFT-based palmprint features. However, the evaluation also proves that an overhead of the algorithm requires the processing time which depends on the database size. Therefore, for an identification system with a large database, the total processing time of an identification is not reduced by a straightforward application of the algorithm by Maeda et al.