Accurate precipitation data of satellite is very important for real-time precipitation monitoring and weather forecasting. This paper takes the Chinese mainland and its surrounding sea areas as the research area, and takes the DPR(Dual-frequency Precipitation Radar) precipitation data as the reference value to verify and evaluate the AMSR2(Advanced Microwave Scanning Radiometer 2) precipitation product from July to September 2022 by using classification statistical indicators and accuracy evaluation indicators. The results show that the AMSR2 precipitation product has the best observation effect over the ocean, with the probability of detection of 0.659 and ETS score of 0.546, and the correlation coefficient with DPR is 0.679, RMSE is 4.598 mm/h; The observation effect over the land is second, with the false alarm ratio of 0.277 and ETS score of 0.357, and the correlation coefficient with DPR is 0.325, RMSE is 2.793 mm/h; The observation effect over the coast is relatively poor, with the low probability of detection of 0.361 and ETS score of 0.307, and the correlation coefficient with DPR is 0.329, RMSE is 4.527 mm/h. At the same time, as the rainfall level increases, the estimation error of AMSR2 precipitation product for precipitation is also increasing. It is easy to overestimate precipitation in light rainfall level, and in moderate rainfall level it is easy to underestimate precipitation over the coast, to overestimate precipitation over the sea and land, while in heavy rainfall and heavy rainstorm level it is easy to underestimate precipitation, and the degree of underestimation increases with the increase of rainfall level.