If you've run hierarchical Bayesian (HB) analysis and you have respondent-level utilities, then the easiest way to do this would be to treat the numbers like any other numbers (e.g. rating scales). Then you can use the t-test function in SPSS or even in Excel or in online t-test procedures.
If computing the test by hand you'll need to get the means and standard deviations of each utility for both males and females, again something easily done in Excel.
If you want to get really fancy you can run Bayesian versions of these tests instead of traditional frequentist tests you learned in school. Contact me at firstname.lastname@example.org if you want to know more about Bayesian tests.
If you're using an aggregate logit model please contact me and I'll refer you to the relevant research about how to conduct such tests.