Having trouble while using pypy: pyperf is much slower than timeit

I'm learting Python and made some tests. I downloaded and unzipped pypy to a folder. I can't find the proper way to use pyperf with pypy. Can I get the result with JIT?

Code:

# global i, big loop of empty
## pyperf
py -3.10 -m pyperf timeit -s "global i" "for i in range(100_000_000): pass" --rigorous
Mean +- std dev: 1.95 sec +- 0.04 sec

pypy -m pyperf timeit -s "global i" "for i in range(100_000_000): pass" --rigorous
Mean +- std dev: 1.02 sec +- 0.02 sec

### The command
### Can I get the result with JIT?

## timeit
py -3.10 -m timeit -s "global i" "for i in range(100_000_000): pass"
1 loop, best of 5: 2.02 sec per loop

pypy -m timeit -s "global i" "for i in range(100_000_000): pass"
5 loops, average of 7: 46 +- 1.56 msec per loop

pypy --jit off -m timeit -s "global i" "for i in range(100_000_000): pass"
1 loops, average of 7: 6.31 +- 0.0155 sec per loop

Start by reproducing the reported pyperf and timeit commands with PyPy, including the --jit off comparison. Investigate whether the difference is expected from benchmark warm-up or JIT behavior; done means the issue has a documented explanation or a clearly identified pyperf problem and reproduction path.