The grey bootstrap evaluation model GBM (1, 1) for dynamic measurement results of atmospheric pressure is built through fusing the grey model GM (1, 1), bootstrap method and uncertainty evaluation theory. The parameters, such as the estimated true value, estimated interval and mean uncertainty are selected to describe the estimation results. The experiment results indicate that the GBM (1, 1) model combines the advantages of the GM (1, 1) grey model and bootstrap method, can accurately simulate the probability distribution of dynamic measurement data and track the variation trends of the measured quantity during dynamic measurement progress. The maximum value and mean value of the estimated errors are smaller than those of the measurement errors of original data, respectively. The interval estimation reliability of the GBM (1, 1) model exceeds 96%, and the estimated interval can fully envelop the dynamic fluctuation range of the measured quantity, which proves that the GBM (1, 1) model can improve the measurement accuracy of atmospheric pressure and evaluate the uncertainty of dynamic measurement results accurately.