Hmm okay that did seem too weird to be true - can I ask if you’re using Linux/what package versions you’re on? I reran the script on an Intel® Core™ i7-8550U CPU @ 1.80 GHz and got similar results as before…
OS: Windows 10
pytorch version: 1.4.0+cpu
torchvision version: 0.5.0+cpu
python version: 3.5.6 (Anaconda)
My results:
{'eager_mode': [2.7745824,
                2.6500037999999995,
                2.6533983,
                2.6689963999999993,
                2.6377159999999993,
                2.6842899000000013,
                2.5568492999999997,
                2.597765599999999,
                2.6008908999999996,
                2.5944234999999978],
 'script_mode': [5.247614200000001,
                 2.586303700000002,
                 2.549111499999995,
                 2.592132399999997,
                 2.5910770000000127,
                 2.729830899999996,
                 2.8766263000000123,
                 2.5445603999999946,
                 2.596778499999999,
                 2.6283513999999997],
 'trace_mode': [3.0458361999999966,
                3.0095516000000018,
                2.896102599999999,
                2.869847600000007,
                2.8926903999999922,
                2.875762299999991,
                2.919233399999996,
                2.9229768999999948,
                2.954907900000009,
                3.0075180000000046]}