ISA-L decompression is also slightly faster:

$ ./samtools view -u  ~/test/HG002_20230424_1302_3H_PAO89685_2264ba8c_hac_simplex_downsampled.bam | pv > /dev/null
16.2GiB 0:00:58 [ 284MiB/s] [     

./samtools view -u  ~/test/HG002_20230424_1302_3H_PAO89685_2264ba8c_hac_simplex_downsampled.bam | pv > /dev/null
16.2GiB 0:00:52 [ 315MiB/s] [                

Just 10% though and this is on a intel i7 6700. This is not as clear cut as the compression.

I can confirm that the same sort of results occur when using a ryzen 5 3600 (AMD Zen 2). 10% faster reading and almost twice as fast writing.

So it works equally well on both x86 vendors. Since we have a cluster with both AMD Epyc and Intel Xeon I always check if optimizations are not detrimental.

I don't have any high performing ARM64 devices to test. The latest release of ISA-L is available on conda (https://github.com/conda-forge/isa-l-feedstock) for ARM64 and MacOS ARM64 architectures. If anyone wants to test.
From some tests I have run on an arm64 processor it seems as ISA-L performs well, but that was on a single-board computer so that is not really representative of machines running bioinformatic work loads.