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