Benchmarks Of 2nd Gen AMD EPYC On Amazon EC2 Against Intel Xeon, Graviton2

For those making use of Amazon EC2 for build farm purposes, the c5a 8xlarge/16xlarge instances immediately shot out as being much quicker than the EPYC Naples instances of similar size and also outperforming the Xeon m5 instances. The EPYC C5A instances won in the respective comparisons for the sizes tested, though in the case of Graviton2's lower performance for the compile kernel test keep in mind there are differing modules/options enabled between building the Linux kernel for x86_64 and ARMv8.

With the simple 7-Zip compression test, the Amazon Graviton2 instances led the race but EPYC C5A was faster than the Xeon M5 and certainly much faster than the previous-generation M5A instances.

The Xeon M5 instances still had a minor advantage with the PostgreSQL database server but the Rome instances were quite close behind and much faster than the previous-generation EPYC instances even with the same core/thread counts.

With the Apache Cassandra performance, Amazon Graviton2 led -- keeping in mind that with the M6G instances each vCPU is backed by a physical core compared to the Intel/AMD instances being a combination of physical and HT/SMT logical cores. But in any case, the C5A instance for 16xlarge was faster than Xeon and dramatically faster than the former M5A EPYC instance while for the 8xlarge instance is where the Xeon M5 came out slightly ahead of the similarly equipped C5A.