The　Integrated　Multi-satellitE　Retrievals　for　Global　Precipitation　Measurement　Final　Run　(IMERGF)　product　has　now　been　upgraded　to　Version　4　(V4),　which　has　been　available　since　March　2017.　Therefore,　it　is　desirable　to　evaluate　the　characteristic　differences　between　the　V4　and　the　previous　V3　products.　A　comprehensive　performance　evaluation　of　the　errors　of　the　successive　V3　and　V4　IMERGF　products　is　performed　with　a　comparison　of　the　China　daily　Precipitation　Analysis　Products　(CPAP)　from　March　2014　to　February　2015.　The　version　6　Global　Satellite　Mapping　of　Precipitation　(GSMaP)　research　product　(which　is　another　Global　Precipitation　Measurement　(GPM)　based　precipitation　product)　is　also　used　as　a　comparison　in　this　study.　Overall,　the　IMERGF-V4　product　does　not　exhibit　the　anticipated　improvement　for　China　compared　to　the　IMERGF-V3　product.　An　analysis　of　the　metrics　of　annual　daily　average　precipitation　over　China　for　the　IMERGF-V3　and　IMERGF-V4　products　indicates　a　decrease　of　the　relative　bias　(RB)　from　3.70%　to　-7.18%,　a　decrease　of　the　correlation　coefficient　(CC)　from　0.91　to　0.89,　an　increase　of　the　fractional　standard　error　(FSE)　from　0.49　to　0.56,　and　an　increase　of　the　root-mean-square　error　(RMSE)　from　0.63　mm　to　0.72　mm.　Compared　to　the　IMERGF-V3　product,　the　IMERGF-V4　product　exhibits　a　significant　underestimation　of　precipitation　in　the　Qinghai-Tibetan　plateau　with　a　much　lower　RB　of　-60.91%　(-58.19%,　-65.30%,　and　-63.74%)　based　on　the　annual　(summer,　autumn,　and　winter)　daily　average　precipitation　and　an　even　worse　performance　during　winter　(-72.33%　of　RB).　In　comparison,　the　GSMaP　product　outperforms　the　IMERGF-V3　and　IMERGF-V4　products　and　has　the　smallest　RMSE　(0.47　mm/day),　highest　CC　(0.95),　lowest　FSE　(0.37),　and　best　performance　of　the　RB　(-2.39%)　in　terms　of　annual　daily　precipitation　over　China.　However,　the　GSMaP　product　underestimates　the　precipitation　more　than　the　IMERGF-V3　product　for　the　arid　XJ　region.