Ok? How are you comparing these systems to the benchmark so they might be considered relevant? Compressing "Lots of small files" describes an infinite variety of workloads. To achieve anything close to the benchmark you'd need to specifically only compress only small files in a single directory of an average small size. And even the contents of those files would have large implications as to expected performance....

Zipping up a project directory even without git can be a big file collection. Python virtual environment or node_modules, can quickly get into thousands of small files.