It depends what you mean by "normalised"; it also depends on your software's choices.
"Normalised" is a word often avoided by statistical people, because it is ambiguous as between (a) scaled or standardized (e.g. to total 1 or to mean 0 and SD 1) and (b) transformed (approximately) to normality, meaning normal or Gaussian distribution. Naturally, your language may well reflect your community and differ from this, but watch out, because usages are not universal across the statistical sciences.
On histograms I have variously seen
frequencies, or bin counts
frequency density, or bin counts/bin width
proportions, or bin counts/total count
percent[age]s, or proportions multiplied by 100
(the last two are really the same, just that vulgar prejudice often regards them as different)
- probability density, i.e. frequency density/total count, integrating to 1 over the whole histogram
There could be a good case for all of these, although "frequency density" I think is the least common and could be widely puzzling without explanation.
For completeness I note that probability density can easily exceed 1, a point that causes frequent puzzlement.