Well, a correct benchmarking is not done with special data, but with datasets that represent a large set of distributions. Such datasets are for ex. einwik8/9 for text, silesia for a mixed dataset.
If you provide a link for a dataset 10-100MB, I can verify your claims, because I'm not aware of a dataset where igzip is 2 times faster than libdeflate. In TurboBench there is not I/O involved, additionally it's single threaded.
Well, a correct benchmarking is not done with special data, but with datasets that represent a large set of distributions. Such datasets are for ex. einwik8/9 for text, silesia for a mixed dataset. If you provide a link for a dataset 10-100MB, I can verify your claims, because I'm not aware of a dataset where igzip is 2 times faster than libdeflate. In TurboBench there is not I/O involved, additionally it's single threaded.