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circuitpython benchmark\n\nRaspberry Pi Pico (RP2040), Adafruit Metro M7 (NXP IMXRT10XX) and Intel i7 CPU benchmark.\n\n## abstract\nScript for Python and CircuitPython measures computation time, covering:\n- int and float datatypes\n- vectorized vs. looped operations \n- arithmetic, algebraic and trigonometric operations.\n\n\n## results\n\n|\u003cbr\u003e datatype|\u003cbr\u003eoperation| **Raspberry Pi Pico**\u003cbr\u003et (s)| |**Adafruit Metro M7**\u003cbr\u003et (s)| \u003cbr\u003evs. Pico| | **Intel i7-6700HQ Laptop** \u003cbr\u003et (s)| \u003cbr\u003e vs. Pico |\n|----------------:|------------:|------------:|---------:|----------------------:|---------:|-----:|---------------------:|---------:|\n| | | | | | | | | |\n| int | bitshift | 31.614 | | 6.710 | 4.7 x | | 0.164 | 192.5 x |\n| | | | | | | | | |\n| int | modulo | 12.077 | | 2.404 | 5.0 x | | 0.147 | 82.0 x |\n| int | bitwise-and | 11.597 | | 2.313 | 5.0 x | | 0.145 | 80.1 x |\n| int | bitwise-or | 11.596 | | 2.314 | 5.0 x | | 0.152 | 76.5 x |\n| int | bitwise-xor | 11.598 | | 2.312 | 5.0 x | | 0.152 | 76.4 x |\n| | | | | | | | | |\n| int | add | 19.694 | | 4.051 | 4.9 x | | 0.152 | 129.2 x |\n| float | add | 13.319 | | 2.629 | 5.1 x | | 0.127 | 105.1 x |\n| array(np.float) | add | 1.561 | | 0.183 | 8.5 x | | 0.006 | 248.7 x |\n| vec speedup | | 8.5 x | | 14.4 x | | | 20.2 x | |\n| | | | | | | | | |\n| int | sub | 11.597 | | 2.313 | 5.0 x | | 0.147 | 79.1 x |\n| float | sub | 13.566 | | 2.633 | 5.2 x | | 0.132 | 102.5 x |\n| array(np.float) | sub | 1.754 | | 0.179 | 9.8 x | | 0.006 | 272.3 x |\n| vec speedup | | 7.7 x | | 14.7 x | | | 20.5 x | |\n| | | | | | | | | |\n| int | mul | 34.808 | | 6.549 | 5.3 x | | 0.144 | 241.6 x |\n| float | mul | 13.383 | | 2.639 | 5.1 x | | 0.135 | 98.9 x |\n| array(np.float) | mul | 1.890 | | 0.204 | 9.3 x | | 0.006 | 311.1 x |\n| vec speedup | | 7.1 x | | 12.9 x | | | 22.3 x | |\n| | | | | | | | | |\n| int | div | 13.549 | | 2.381 | 5.7 x | | 0.138 | 97.9 x |\n| float | div | 13.991 | | 2.692 | 5.2 x | | 0.125 | 111.5 x |\n| array(np.float) | div | 2.097 | | 0.238 | 8.8 x | | 0.006 | 340.9 x |\n| vec speedup | | 6.7 x | | 11.3 x | | | 20.4 x | |\n| | | | | | | | | |\n| int | exp | 20.625 | | 3.221 | 6.4 x | | 0.297 | 69.4 x |\n| float | exp | 20.457 | | 3.547 | 5.8 x | | 0.285 | 71.7 x |\n| array(np.float) | exp | 6.627 | | 0.510 | 13.0 x | | 0.012 | 548.1 x |\n| vec speedup | | 3.1 x | | 7.0 x | | | 23.6 x | |\n| | | | | | | | | |\n| int | sqr | 17.391 | | 3.241 | 5.4 x | | 0.288 | 60.4 x |\n| float | sqr | 17.134 | | 3.301 | 5.2 x | | 0.276 | 62.2 x |\n| array(np.float) | sqr | 2.844 | | 1.017 | 2.8 x | | 0.006 | 445.9 x |\n| vec speedup | | 6.0 x | | 3.2 x | | | 43.2 x | |\n| | | | | | | | | |\n| float | sin | 23.491 | | 3.550 | 6.6 x | | 0.281 | 83.7 x |\n| array(np.float) | sin | 6.638 | | 0.605 | 11.0 x | | 0.015 | 451.7 x |\n| vec speedup | | 3.5 x | | 5.9 x | | | 19.1 x | |\n| | | | | | | | | |\n| float | cos | 20.729 | | 3.539 | 5.9 x | | 0.299 | 69.3 x |\n| array(np.float) | cos | 6.625 | | 0.603 | 11.0 x | | 0.014 | 467.0 x |\n| vec speedup | | 3.1 x | | 5.9 x | | | 21.1 x | |\n| | | | | | | | | |\n| float | tan | 21.281 | | 3.682 | 5.8 x | | 0.287 | 74.0 x |\n| array(np.float) | tan | 7.151 | | 0.768 | 9.3 x | | 0.025 | 290.2 x |\n| vec speedup | | 3.0 x | | 4.8 x | | | 11.7 x | |\n| | | | | | | | | |\n| float | log | 23.290 | | 3.514 | 6.6 x | | 0.331 | 70.3 x |\n| array(np.float) | log | 8.475 | | 0.625 | 13.6 x | | 0.012 | 724.0 x |\n| vec speedup | | 2.7 x | | 5.6 x | | | 28.3 x | |\n| | | | | | | | | |\n| for(int) | matmul | 9.812 | | 2.049 | 4.8 x | | 0.274 | 35.9 x |\n| M(np.int16) | matmul | 1.146 | | 0.045 | 25.5 x | | 0.001 | 1200.4 x |\n| vec speedup | | 8.6 x | | 45.6 x | | | 286.5 x | |\n| | | | | | | | | |\n| for(float) | matmul | 11.020 | | 2.632 | 4.2 x | | 0.253 | 43.6 x |\n| M(np.float) | matmul | 0.802 | | 0.041 | 19.6 x | | 0.000 | 1914.1 x |\n| vec speedup | | 13.7 x | | 64.2 x | | | 603.6 x 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