Comparing log performance in Python

log_test.py

import math
import numpy as np
import time

num_list = list(np.random.rand(100000)*100000)
tmp = 0

start = time.time()
for i in num_list:
    tmp = np.log2(i)
elapsed_time = time.time() - start
print(("elapsed_time:{0}".format(elapsed_time)) + "[sec]")

start = time.time()
for i in num_list:
    tmp = math.log(i, 2)
elapsed_time = time.time() - start
print(("elapsed_time:{0}".format(elapsed_time)) + "[sec]")

# result
# elapsed_time:0.07547879219055176[sec]
# elapsed_time:0.02680182456970215[sec]