33 lines
976 B
Python
Executable File
33 lines
976 B
Python
Executable File
#!/usr/bin/env python
|
|
|
|
import subprocess, multiprocessing as mp, pandas as pd
|
|
|
|
def speed(core):
|
|
try:
|
|
output = subprocess.run(
|
|
f'sysbench cpu --threads={core} run | grep "events per second"',
|
|
shell=True, capture_output=True, text=True).stdout.split()[-1]
|
|
return float(output)
|
|
except:
|
|
print('\n'
|
|
'sudo apt-get update && sudo apt-get install -y sysbench neofetch'
|
|
'\tOR'
|
|
'brew install sysbench neofetch'
|
|
'\n')
|
|
raise
|
|
|
|
subprocess.run('neofetch')
|
|
R, G, B, W = (f'\x1b[{x}m' for x in (31, 32, 34, 0))
|
|
df = []
|
|
print(f'\t{G}Speed\t\t{B} Speed')
|
|
print(f'\t{G}(multicore)\t{B}(per-core)')
|
|
for core in range(1, mp.cpu_count()+1):
|
|
print(f'{R}Core: {core}', end='')
|
|
s = speed(core)
|
|
row = (core, s, s/core)
|
|
print(f'\t{G}{int(row[1]):^8}\t{B}{int(row[2]):^8}')
|
|
df.append(row)
|
|
print(W)
|
|
df = pd.DataFrame(df)
|
|
df.to_csv('bench.csv', index=False)
|