全てのベンチマークのシステム構成：
Python ベンチマーク
ソフトウェア
PIP* and NumPy: Installed with PIP, Ubuntu*, Python 3.5.2, NumPy 1.12.1, scikit-learn 0.18.1 Windows*, Python 3.5.2, PIP and NumPy 1.12.1, scikit-learn 0.18.1 Intel Distribution for Python, Update 2
ハードウェア
Intel® Core™ i5 processor 4300M at 2.60 GHz and 2.59 GHz, (1 socket, 2 cores, 2 threads per core), 8 GB DRAM Intel® Xeon® processor E5-2698 v3 at 2.30 GHz (2 sockets, 16 cores each, 1 thread per core), 64 GB of DRAM Intel® Xeon Phi™ processor 7210 at 1.30 GHz (1 socket, 64 cores, 4 threads per core), 32 GB DRAM, 16 GB MCDRAM (flat mode enabled)
変更
Scikit-learn: Conda*-installed NumPy with Intel MKL on Windows (PIP-installed SciPy on Windows contains an Intel MKL dependency) Black-Scholes on Intel Core processor i5 for Windows: PIP-installed NumPy and Conda-installed SciPy