I can think of two basic cases when doubles are faster than floats:
Your hardware supports double operations but not float operations, so floats will be emulated by software and therefore be slower.
You really need the precision of doubles. Now, if you use floats anyway you will have to use two floats to reach similar precision to double. The emulation of a true double with floats will be slower than using floats in the first place.
For completeness' sake I also give some reasons for the opposite case of floats being faster. You can see for yourself whichs reasons dominate in your case:
Floats are faster than doubles when you don't need double's precision and you are memory-bandwidth bound and your hardware doesn't carry a penalty on floats.
They conserve memory-bandwidth because they occupy half the space per number.
There are also platforms that can process more floats than doubles in parallel.