Производительность в python: built-in any/all VS самописный цикл

#!/usr/bin/env python3

import re
import string

regexp1 = re.compile(r'^[a-z_]\w*$', re.IGNORECASE)
symbols = frozenset(string.ascii_letters + string.digits + '_')


def check1(name):
    return regexp1.search(name) is not None


def check2(name):
    first_ch = name[0]
    if first_ch >= '0' and first_ch <= '9':
        return False

    for ch in name:
        if ch not in symbols:
            return False

    return True


def check3(name):
    first_ch = name[0]
    if first_ch >= '0' and first_ch <= '9':
        return False

    return all(ch in symbols for ch in name)


def check_speed(fname, name, count):
    from timeit import timeit
    time = timeit('{0}("{1}")'.format(fname, name), 'from __main__ import {0}'.format(fname), number=count)
    print('{0}: {1:.3f} seconds in {2} iterations for "{3}"'.format(fname, time, count, name))


def main():
    import sys
    fnames = ['check1', 'check2', 'check3']
    name = sys.argv[1]
    count = int(sys.argv[2])
    for fname in fnames:
        check_speed(fname, name, count)


if __name__ == '__main__':
    main()

[actics@6910p trash]$ ./p.py "a12" 1000000
check1: 4.822 seconds in 1000000 iterations
check2: 2.143 seconds in 1000000 iterations
check3: 4.985 seconds in 1000000 iterations

[actics@6910p trash]$ ./p.py "a12345678901234567890" 1000000
check1: 6.784 seconds in 1000000 iterations
check2: 5.328 seconds in 1000000 iterations
check3: 10.320 seconds in 1000000 iterations

[actics@6910p trash]$ ./p.py "a12345678901234567890123456789012345678901234567890" 1000000
check1: 9.881 seconds in 1000000 iterations
check2: 11.759 seconds in 1000000 iterations
check3: 19.880 seconds in 1000000 iterations