As you can probably see, we're very good on some benchmarks and not that great on others. Some of the bad results come from the fact that while we did a lot of JIT-related work, other PyPy parts did not see that much love. Some of our algorithms on the builtin data types are inferior to those of CPython. This is going to be an ongoing focus for a while.
We want to first improve on the benchmarks for a couple of weeks before doing a release to gather further feedback.