Power is only marginally slower in unnested loop

test2.py

from numba import njit, prange
import numpy as np
from time import time
import math


@njit(parallel=False)
def foo(m):
    pos = np.empty_like(m)
    for i in prange(len(m)):
        # pos[i] = m[i]
        # 0.42354917526245117
        # 0.0394282341003418
        pos[i] = m[i] ** (-1.5)
        # 0.5008852481842041
        # 0.1034078598022461
    return pos


N = 10000000
m = np.random.uniform(10, 100, N)
t1 = time()
pos = foo(m)
t2 = time()
print(t2-t1)
t1 = time()
pos = foo(m)
t2 = time()
print(t2-t1)