[pypy-dev] NumPyPy vs NumPy

Papa, Florin florin.papa at intel.com
Wed Jul 27 03:59:26 EDT 2016


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


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