LBP is faster (a few times faster) but less accurate. (10-20% less than Haar).
If you want to detect faces on an embedded system, LBP is the default choice, because it does its calculations in integers.
Haar uses floats for processing, which have poorer support on embedded and mobile processors; as a result, the performance penalty is significant – big enough to make its usage on mobile phones impractical.