AMD Ryzen 9 5950X 16-Core On Ubuntu 22.04

Various open-source benchmarks by the Phoronix Test Suite v10.8.4.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403131-NE-AMDRYZEN994
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD Ryzen 9 5950X 16-Core
March 13
  42 Minutes
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AMD Ryzen 9 5950X 16-Core On Ubuntu 22.04OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core (32 Cores)Intel 440BX (6.00 BIOS)Intel 440BX/ZX/DX16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 8 GB + 4 GB + 2 GB DRAM54GB Virtual diskVMware SVGA IIVMware VMXNET3Ubuntu 22.045.15.0-100-generic (x86_64)1.3.255GCC 11.4.0ext4800x600VMwareProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelVulkanCompilerFile-SystemScreen ResolutionSystem LayerAMD Ryzen 9 5950X 16-Core On Ubuntu 22.04 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - CPU Microcode: 0xa201016- OpenJDK Runtime Environment (build 11.0.22+7-post-Ubuntu-0ubuntu222.04.1)- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT disabled + spec_rstack_overflow: Mitigation of SMT disabled + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD Ryzen 9 5950X 16-Core On Ubuntu 22.04nettle: sha512system-decompress-gzip: spark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test TimeAMD Ryzen 9 5950X 16-Core616.932.7663.5891.375.754.472.191.951.59OpenBenchmarking.org

Nettle

GNU Nettle is a low-level cryptographic library used by GnuTLS and other software. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbyte/s, More Is BetterNettle 3.8Test: sha512AMD Ryzen 9 5950X 16-Core130260390520650SE +/- 2.94, N = 3616.931. (CC) gcc options: -O2 -ggdb3 -lnettle -lm -lcrypto

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionAMD Ryzen 9 5950X 16-Core0.62241.24481.86722.48963.112SE +/- 0.003, N = 32.766

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeAMD Ryzen 9 5950X 16-Core0.80551.6112.41653.2224.0275SE +/- 0.02, N = 33.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkAMD Ryzen 9 5950X 16-Core20406080100SE +/- 0.16, N = 391.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAMD Ryzen 9 5950X 16-Core1.29382.58763.88145.17526.469SE +/- 0.02, N = 35.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeAMD Ryzen 9 5950X 16-Core1.00582.01163.01744.02325.029SE +/- 0.06, N = 34.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeAMD Ryzen 9 5950X 16-Core0.49280.98561.47841.97122.464SE +/- 0.02, N = 32.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeAMD Ryzen 9 5950X 16-Core0.43880.87761.31641.75522.194SE +/- 0.03, N = 31.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeAMD Ryzen 9 5950X 16-Core0.35780.71561.07341.43121.789SE +/- 0.04, N = 31.59