Difference between random forest implementation

Question

Is there a performance difference between the implementation of Random Forest in H2O and standard Random Forest library?

Has anybody performed or done some analysis for these two implementations.

Answer 1

Here is an open benchmark you can start with.

https://github.com/szilard/benchm-ml

Answer 2

I suppose you are looking for this: http://www.wise.io/tech/benchmarking-random-forest-part-1