Personally I prefer levene's test (it's more robust in situations where the distribution may not be normal). Either way though, typical practice would be to run the tests both assuming equal variance and again not assuming equal variance. If both are statistically significant then it's a moot point, the results are statistically significant regardless of whether the variance in populations is equivalent.