I have a benchmark program I use, a solution to day 5 of the 2017 advent of code, which is all python and negligible I/O. It still runs 8.8x faster on pypy than on python 3.14:

    $ hyperfine "mise exec python@pypy3.11 -- python e.py" "mise exec python@3.9 -- python e.py" "mise exec python@3.11 -- python e.py" "mise exec python@3.14 -- python e.py"
    Benchmark 1: mise exec python@pypy3.11 -- python e.py
      Time (mean ± σ):     148.1 ms ±   1.8 ms    [User: 132.3 ms, System: 17.5 ms]
      Range (min … max):   146.7 ms … 154.7 ms    19 runs

    Benchmark 2: mise exec python@3.9 -- python e.py
      Time (mean ± σ):      1.933 s ±  0.007 s    [User: 1.913 s, System: 0.023 s]
      Range (min … max):    1.925 s …  1.948 s    10 runs
     
    Benchmark 3: mise exec python@3.11 -- python e.py
      Time (mean ± σ):      1.375 s ±  0.011 s    [User: 1.356 s, System: 0.022 s]
      Range (min … max):    1.366 s …  1.403 s    10 runs
     
    Benchmark 4: mise exec python@3.14 -- python e.py
      Time (mean ± σ):      1.302 s ±  0.003 s    [User: 1.284 s, System: 0.022 s]
      Range (min … max):    1.298 s …  1.307 s    10 runs
     
    Summary
      mise exec python@pypy3.11 -- python e.py ran
        8.79 ± 0.11 times faster than mise exec python@3.14 -- python e.py
        9.28 ± 0.13 times faster than mise exec python@3.11 -- python e.py
       13.05 ± 0.16 times faster than mise exec python@3.9 -- python e.py