5950-930-22 AMD Ryzen 9 5950X 16-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.H0 BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo 2.9 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2209305-QUAR-595093007 AMD Ryzen 9 5950X 16-Core Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.H0 BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 3 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Gentoo 2.9, Kernel: 5.19.12-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0 + Clang 14.0.6 + LLVM 14.0.6, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/11.3.0 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0 --disable-cet --disable-default-pie --disable-default-ssp --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-libvtv --disable-nls --disable-systemtap --disable-valgrind-annotations --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-languages=c,c++,go,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/11.3.0/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/man --with-build-config=bootstrap-lto --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/python --with-zstdProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Java Notes: OpenJDK Runtime Environment 17.0.3_p7-r1 (build 17.0.3+7)Python Notes: Python 3.10.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory AMD Ryzen 9 5950X 16-Core 3K 6K 9K 12K 15K SE +/- 17.05, N = 3 14883.63 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
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.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.17, N = 12 10.55
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8685 1.737 2.6055 3.474 4.3425 SE +/- 0.01, N = 12 3.86
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.24, N = 12 85.05
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8708 1.7416 2.6124 3.4832 4.354 SE +/- 0.01, N = 12 3.87
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.30, N = 12 84.63
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.206 2.412 3.618 4.824 6.03 SE +/- 0.09, N = 12 5.36
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.314 2.628 3.942 5.256 6.57 SE +/- 0.09, N = 12 5.84
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 1.1273 2.2546 3.3819 4.5092 5.6365 SE +/- 0.04, N = 12 5.01
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time AMD Ryzen 9 5950X 16-Core 1.134 2.268 3.402 4.536 5.67 SE +/- 0.04, N = 12 5.04
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8573 1.7146 2.5719 3.4292 4.2865 SE +/- 0.03, N = 12 3.81
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.17, N = 12 84.51
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.224 2.448 3.672 4.896 6.12 SE +/- 0.03, N = 3 5.44
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 1.0755 2.151 3.2265 4.302 5.3775 SE +/- 0.02, N = 3 4.78
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time AMD Ryzen 9 5950X 16-Core 1.0868 2.1736 3.2604 4.3472 5.434 SE +/- 0.09, N = 3 4.83
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8685 1.737 2.6055 3.474 4.3425 SE +/- 0.02, N = 3 3.86
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.60, N = 3 84.20
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time AMD Ryzen 9 5950X 16-Core 1.323 2.646 3.969 5.292 6.615 SE +/- 0.04, N = 3 5.88
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8618 1.7236 2.5854 3.4472 4.309 SE +/- 0.01, N = 3 3.83
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.45, N = 3 85.22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8618 1.7236 2.5854 3.4472 4.309 SE +/- 0.03, N = 12 3.83
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.29, N = 12 84.71
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.1543 2.3086 3.4629 4.6172 5.7715 SE +/- 0.06, N = 15 5.13
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 1.0328 2.0656 3.0984 4.1312 5.164 SE +/- 0.04, N = 15 4.59
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time AMD Ryzen 9 5950X 16-Core 0.9698 1.9396 2.9094 3.8792 4.849 SE +/- 0.02, N = 15 4.31
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8663 1.7326 2.5989 3.4652 4.3315 SE +/- 0.01, N = 15 3.85
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.26, N = 15 84.68
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.2083 2.4166 3.6249 4.8332 6.0415 SE +/- 0.17, N = 3 5.37
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 1.0823 2.1646 3.2469 4.3292 5.4115 SE +/- 0.09, N = 3 4.81
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time AMD Ryzen 9 5950X 16-Core 1.0935 2.187 3.2805 4.374 5.4675 SE +/- 0.07, N = 3 4.86
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.873 1.746 2.619 3.492 4.365 SE +/- 0.01, N = 3 3.88
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.97, N = 3 84.32
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.333 0.666 0.999 1.332 1.665 SE +/- 0.05, N = 3 1.48
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.4073 0.8146 1.2219 1.6292 2.0365 SE +/- 0.02, N = 3 1.81
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 0.3915 0.783 1.1745 1.566 1.9575 SE +/- 0.01, N = 3 1.74
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time AMD Ryzen 9 5950X 16-Core 0.6998 1.3996 2.0994 2.7992 3.499 SE +/- 0.05, N = 3 3.11
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8685 1.737 2.6055 3.474 4.3425 SE +/- 0.01, N = 3 3.86
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.55, N = 3 84.45
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core 0.567 1.134 1.701 2.268 2.835 SE +/- 0.03, N = 3 2.52
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.234 0.468 0.702 0.936 1.17 SE +/- 0.03, N = 3 1.04
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.288 0.576 0.864 1.152 1.44 SE +/- 0.02, N = 3 1.28
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 0.333 0.666 0.999 1.332 1.665 SE +/- 0.04, N = 3 1.48
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time AMD Ryzen 9 5950X 16-Core 0.594 1.188 1.782 2.376 2.97 SE +/- 0.03, N = 3 2.64
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8595 1.719 2.5785 3.438 4.2975 SE +/- 0.03, N = 3 3.82
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.67, N = 3 83.96
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core 0.4995 0.999 1.4985 1.998 2.4975 SE +/- 0.03, N = 3 2.22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.2093 0.4186 0.6279 0.8372 1.0465 SE +/- 0.02, N = 3 0.93
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.27 0.54 0.81 1.08 1.35 SE +/- 0.03, N = 3 1.20
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 0.3105 0.621 0.9315 1.242 1.5525 SE +/- 0.01, N = 3 1.38
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time AMD Ryzen 9 5950X 16-Core 0.6098 1.2196 1.8294 2.4392 3.049 SE +/- 0.02, N = 3 2.71
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8123 1.6246 2.4369 3.2492 4.0615 SE +/- 0.11, N = 3 3.61
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.48, N = 3 84.55
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core 0.5063 1.0126 1.5189 2.0252 2.5315 SE +/- 0.03, N = 3 2.25
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.2543 0.5086 0.7629 1.0172 1.2715 SE +/- 0.01, N = 3 1.13
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time AMD Ryzen 9 5950X 16-Core 0.3218 0.6436 0.9654 1.2872 1.609 SE +/- 0.04, N = 3 1.43
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time AMD Ryzen 9 5950X 16-Core 0.6548 1.3096 1.9644 2.6192 3.274 SE +/- 0.00, N = 3 2.91
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe AMD Ryzen 9 5950X 16-Core 0.8101 1.6202 2.4303 3.2404 4.0505 SE +/- 0.105296720, N = 3 3.600410802
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core 20 40 60 80 100 SE +/- 0.55, N = 3 83.92
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core 0.495 0.99 1.485 1.98 2.475 SE +/- 0.01, N = 3 2.20
FFmpeg This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV AMD Ryzen 9 5950X 16-Core 0.95 1.9 2.85 3.8 4.75 SE +/- 0.036, N = 3 4.222 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lxcb-shm -lxcb-shape -lxcb-xfixes -lasound -lsndio -pthread -lbz2 -llzma -lvdpau -std=c11 -fomit-frame-pointer -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 5 10 15 20 25 SE +/- 0.08, N = 3 22.05 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 0.2385 0.477 0.7155 0.954 1.1925 SE +/- 0.01, N = 3 1.06 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 5 10 15 20 25 SE +/- 0.08, N = 3 19.25 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.02, N = 3 11.09 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.00, N = 3 0.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.3 Test: blosclz shuffle AMD Ryzen 9 5950X 16-Core 6K 12K 18K 24K 30K SE +/- 140.05, N = 3 28158.6 1. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
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.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.18, N = 12 9.84
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.24, N = 12 9.40
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.2128 2.4256 3.6384 4.8512 6.064 SE +/- 0.38, N = 3 5.39
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 2 4 6 8 10 SE +/- 0.50, N = 3 8.52
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.21, N = 11 10.41
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.0485 2.097 3.1455 4.194 5.2425 SE +/- 0.09, N = 15 4.66
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 1.1678 2.3356 3.5034 4.6712 5.839 SE +/- 0.29, N = 3 5.19
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time AMD Ryzen 9 5950X 16-Core 0.1913 0.3826 0.5739 0.7652 0.9565 SE +/- 0.04, N = 3 0.85
AMD Ryzen 9 5950X 16-Core Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.H0 BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 3 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Gentoo 2.9, Kernel: 5.19.12-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0 + Clang 14.0.6 + LLVM 14.0.6, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/11.3.0 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0 --disable-cet --disable-default-pie --disable-default-ssp --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-libvtv --disable-nls --disable-systemtap --disable-valgrind-annotations --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-languages=c,c++,go,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/11.3.0/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/man --with-build-config=bootstrap-lto --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/python --with-zstdProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Java Notes: OpenJDK Runtime Environment 17.0.3_p7-r1 (build 17.0.3+7)Python Notes: Python 3.10.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 September 2022 13:19 by user quark.