Rendering, Encoding, And Compression
Ryzen 7 2700X takes a commanding lead in the multi-core Cinebench benchmark, which we expected in light of the radical cache latency and bandwidth improvements that AMD made. POV-Ray also shows the 2700X to be a chart-topper, though again it's faster in stock form than overclocked.
AMD's Ryzen 7 2700X leads in many of the threaded workloads, but isn't as impressive in workloads that tax a single core. There, Intel's architectures continue shining.
Core i7-7820X leads in LuxMark. But notice that we don't have OpenCL results for it. This is because the older OpenCL SDK doesn't support AVX-512. Intel updated the SDK fairly recently, and it works correctly with Skylake-X-based processors. We'll have to retest all of these CPUs to reflect the changes, but be assured that AVX-512 is a powerful addition.
Encoding & Compression
LAME is the quintessential example of a single-threaded workload, and the 2700X posts solid gains over Ryzen 7 1800X in its stock configuration.
Our threaded compression and decompression tests adsorb data directly from system memory, thus removing storage from the equation. As per usual, the Ryzen processors dominate the decompression workload while Intel's Skylake-X leads in compression-oriented benchmarks. It's notable that Core i7-8700K needs overclocking in order to beat AMD's flagship.
There's a larger delta between Intel and AMD processors during our HandBrake x265 test compared to the x264 benchmark due to its heavier distribution of AVX instructions. Ryzen 7 2700X is particularly impressive in the x264 metric, where it upsets the capable Core i7-7820X.
We also provide results from y-cruncher, a single- and multi-threaded program that computes Pi using AVX instructions. We tested with version 0.7.3.9474, which includes Ryzen optimizations. The 2700X trails Intel's portfolio in the single-core benchmark. However, parallelization puts it in a more competitive position. Also, we clearly see the benefit of Core i7-7820X's dual 256-bit AVX FMA units (per core) in the AVX workloads.
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