Float Speed Espruino Pico VS Pyboard

Hello Forum,

this little test may neither be fair nor exact but i still wonder about the outcome...

The Leibniz Formula is a little float Problem for calculating Pi.

I wrote the code in Python and Javascript and let it run on the PyBoard and the Espruino Pico.

Here‘s the Python-Code:

import time

iterations = 1000000

x = 1
pi = 1
start = time.time()
for i in range(2, iterations + 2):
   x = x * -1
   pi = pi + (x / (2*i-1))

pi = pi * 4
print('Pi: ' + str(pi))
end = time.time()
print('Time taken for ' + str(iterations) + ' Iterations: ' + str((end - start)*1000000) + ' Mikroseconds')

And here‘s the „same“ in Javascript:

var iterations = 1000000;

var x = 1;
var pi = 1;
var begin=Date.now();
for (i = 2; i < iterations + 2; i++) {
  x = x * -1;
  pi = pi + (x / (2*i-1));    
}

pi = pi * 4;
console.log('Pi: ' + pi);
var end= Date.now();
console.log('Took ' + ((end-begin)*1000) + ' Microseconds');

On the PyBoard the code took 26 seconds to execute, the Pico took 458 seconds.

I‘m a little puzzled of the outcome because I though both boards have floating point hardware, or am I wrong?

Can anyone explain the massive speed difference to me?

Thomas

PS: I know that this synthetic benchmark has nothing to do with overall speed, I just want to understand why these numbers are what they are in this particular case.