We can calculate this using the z-score of the standard normal distribution (the normal distribution with mean and standard deviation).
The z-value that correspond to a value of 125 can be calculated as:

Then, we can calculate the percentage that is below 125 as the probability of being below 125:

The percentage of people scoring 125 or below is 95%.