Typhoon Doksuri（2305） maintained a super typhoon at sea for about 72h, landed in Fujian with severe typhoon and maintained for 22h after landing, causing serious wind and rain impacts to China's offshore, coastal and inland areas. There are great differences in the forecast of various numerical models, which causeds great difficulties to forecaster. In order to better explain and apply the model, this paper focuses on the verification for the performance of CMA-TYM and CMA-GFS track and intensity prediction in the process of Doksuri prediction, and compares compared the with ECMWF and NCEP forecasts to find out the advantages and disadvantages of CMA models. The results showed that CMA-TYM track forecast errors were similar to NCEP, and greater than ECMWF and CMA-GFS, the prediction of its movement direction at the initial stage had a large deviation, which was obviously biased to the right side of the real track. The track forecast starting on the 23rd had a good grasp of the landing point, and the error was mainly due to the faster prediction of the moving speed. Compared with other models, the CMA-TYM prediction effect of fast strengthening process had significant advantages. The average error of CMA-GFS was slightly larger than ECMWF, but smaller than NCEP and CMA-TYM. CMA-GFS had a good reference for long-term prediction, but it was obviously weak for intensity prediction.