Strictly speaking, your histograms (!) are bimodal and multimodal.
Then again, you seem to have non-integer data, as indicated by the small bar at 7.5. On the one hand, this makes me wonder why there are spaces between the other bars.
On the other hand, and this is the important part, this means that your histogram's appearance will depend heavily on how you define the bins. Try plotting histograms with bin widths of 1.0 or 0.1 instead of the 0.5 you seem to be having. You will get very different results, in particular given the small amount of data you have. Alternatively, run a kernel density estimate over your data, with different kernel bandwidths. Here is a possibly enlightening discussion of a similar effect.
In the end, whether you should treat your data as uni-, bi- or multimodal will depend on what you want to do with it. In the present case, I would say that you have far too few data points to estimate two or mode modes with any precision, so even if the underlying (unknown!) distribution is multimodal, it probably makes sense to only fit a unimodal distribution.