The accuracy evaluation of with high spatiotemporal resolution precipitation products is the prerequisite for satellite precipitation to be used in the research of hydrometeorology and drought. In this study, we proposed to evaluate the accuracy of IMERG and MSWEP satellite precipitation products at the precipitation zoning scale, while comparing with non-zoning scale (i.e. basin scale). Firstly, the rotated empirical orthogonal functions (REOF) method was used to divide the JinSha River Basin (JSB) into 8 partitions according to the contribution rate. Then, based on the spatial distribution characteristics of precipitation, it was found that both precipitation products can effectively capture the trend of precipitation gradually increasing from upstream to downstream. Finally, the performance of precipitation products at the precipitation zoning scale and non-zoning scales was evaluated in three aspects: daily scale, probability of precipitation occurrence, and extreme precipitation detection capability. The results showed that on a daily scale, the accuracy of MSWEP was superior to IMERG in most precipitation zones, and was recommended 5 times (1, 3, 6, 7, and 8), concentrated in the middle reaches of the basin. At the same time, MSWEP was also recommended for watershed scale. In terms of the probability of precipitation events, MSWEP could reproduce the probability density distribution of different levels of precipitation intensity, but overestimated the probability of 0.1-1 mm/d precipitation events; And IMERG overestimated the probability of precipitation events less than 0.1mm/d. In terms of extreme precipitation detection ability, the KGE values at the basin scale were both positive, and IMERG was better than MSWEP. However, at the zoning scale, the KGE indicator had negative values in some precipitation zones, indicating that neither IMERG nor MSWEP could effectively detect extreme precipitation events in the precipitation zones. Therefore, our findings indicated that the precipitation zoning scale was necessary to evaluate precipitation products in a more refined manner. The research results can provide reference for satellite precipitation assessment with similar climate conditions.