Why am I getting the same result when using p.adjust for the Holm and Bonferroni methods?

Question

I've run several regressions and I'm trying to see if any of the significant findings hold after a multiple comparison adjustment. I know that Bonferroni adjustment is more conservative than Holm adjustment, so I would expect the outputs to be different, however they weren't. One of the values varied slightly, but not as much as I would have expected given that one of these tests is supposed to be less conservative than the other. I tried another correction method and got similar results. Is there something wrong with my syntax or is this a normal result?

p.vect <- c(.003125, .008947)
p.adjust(p.vect, method = "bonferroni", n=80)
[1] 0.25000 0.71576

p.adjust(p.vect, method = "holm", n=80)
[1] 0.250000 0.706813

p.adjust(p.vect, method = "hochberg", n = 80)
[1] 0.250000 0.706813