This may well be the memory locality. When you reorder the loop, the memory that's needed in the inner-most loop is nearer and can be cached, while in the inefficient version you need to access memory from the entire data set.
The way to test this hypothesis is to run a cache debugger (like cachegrind) on the two pieces of code and see how many cache misses they incur.
