Hi Yury, The table contains run time values, normalized to the CPython Numpy results. This means that a value of 1 is equal to the CPython NumPy result, less than 1 means faster than CPython NumPy and more than 1 is slower than CPython NumPy.
Let's consider the following line in the table: Benchmark CPython NumPy PyPy NumPy PyPy NumPyPy cauchy 1 5.838852812 4.866947551 Here, PyPy NumPy is 5.83 times slower than CPython NumPy and PyPy NumPyPy is 4.86 times slower than CPython NumPy. Hope this makes the results table more clear. Regards, Florin _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
