Is there a difference in performance loading different datatypes

Context: loading (COPY) a high volume of data to a warehouse (Redshift specifically however curious about all) Question: Is there a performance difference in the different datatypes that I am loading? For example would loading a string of a timestamp into a text column be faster/slower than loading it directly as a timestamp?