Regional　science　and　technology　(S&T)　resource　allocation　is　an　important　supporting　means　of　Intelligent　Manufacturing　in　the　future.　Research　on　the　efficiency　of　S&T　resource　allocation　is　helpful　to　judge　the　potential　of　Intelligent　Manufacturing　in　a　specific　region.　S&T　performance　evaluation　and　resource　allocation　are　critical　administrative　activities　for　a　country　or　region.　Due　to　resource　scarcity,　it　is　necessary　to　consider　the　constraint　of　limited　total　resources　in　the　process　of　evaluation　and　allocation.　Thus,　the　zero　sum　gains　data　envelopment　analysis　models　and　the　associated　uniform　frontier　(UF)　method　are　more　suitable　for　this　issue.　Comparing　with　the　existing　methods,　we　propose　a　new　algorithm　for　solving　the　UF　method　in　this　article,　which　simplifies　the　procedure　of　calculation　and　extends　from　single　to　multiple　resource　allocation.　In　the　empirical　application,　we　evaluate　the　S&T　performances　and　allocate　R&D　personnel　and　intramural　expenditure　among　31　administrative　regions　in　China.　There　are　10　high-performance　regions.　Results　can　provide　specific　reference　meanings　to　policy　making　and　analysis.