Because of the continuous trend towards higher core counts, parallelization is mandatory for many application domains beyond the traditional HPC sector. Current commodity servers comprise up to 48 processor cores in con gurations with only four sockets. Those shared memory systems have distinct NUMA characteristics. The exact location of data within the memory system signi cantly a ects both access latency and bandwidth. Therefore, NUMA aware memory allocation and scheduling are highly performance relevant issues. In this paper we use low-level microbenchmarks to compare two state-of-the-art quad-socket systems with x86_64 processors from AMD and Intel. We then investigate the performance of the application based OpenMP benchmark suite SPEC OMPM2001. Our analysis shows how these benchmarks scale on shared memory systems with up to 48 cores and how scalability correlates with the previously determined characteristics of the memory hierarchy. Furthermore, we demonstrate how the processor interconnects influence the benchmark results.