5950xspark AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ELITE WIFI (F37c BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo 2.8 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 2208104-QUAR-5950XSP90 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F37c BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 2 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Intel I211 + Intel Dual Band-AC 3168NGW
OS: Gentoo 2.8, Kernel: 5.19.0-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Java Notes: OpenJDK Runtime Environment Temurin-17.0.3+7 (build 17.0.3+7)Python Notes: Python 3.10.5Security 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: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
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: 1000000 - Partitions: 100 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.4928 0.9856 1.4784 1.9712 2.464 SE +/- 0.02, N = 3 2.19
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.68, N = 3 73.19
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 - eVGA NVIDIA GeForce GTX 0.765 1.53 2.295 3.06 3.825 SE +/- 0.01, N = 3 3.40
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 - eVGA NVIDIA GeForce GTX 0.6413 1.2826 1.9239 2.5652 3.2065 SE +/- 0.00, N = 3 2.85
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.2889 0.5778 0.8667 1.1556 1.4445 SE +/- 0.026244349, N = 3 1.284012022
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 - eVGA NVIDIA GeForce GTX 0.2385 0.477 0.7155 0.954 1.1925 SE +/- 0.03, N = 3 1.06
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 - eVGA NVIDIA GeForce GTX 0.1913 0.3826 0.5739 0.7652 0.9565 SE +/- 0.02, N = 3 0.85
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 - eVGA NVIDIA GeForce GTX 0.4815 0.963 1.4445 1.926 2.4075 SE +/- 0.02, N = 9 2.14
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.21, N = 9 73.33
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 - eVGA NVIDIA GeForce GTX 0.7628 1.5256 2.2884 3.0512 3.814 SE +/- 0.01, N = 9 3.39
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 - eVGA NVIDIA GeForce GTX 0.5895 1.179 1.7685 2.358 2.9475 SE +/- 0.02, N = 9 2.62
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.2948 0.5896 0.8844 1.1792 1.474 SE +/- 0.01, N = 9 1.31
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 - eVGA NVIDIA GeForce GTX 0.2655 0.531 0.7965 1.062 1.3275 SE +/- 0.01, N = 9 1.18
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 - eVGA NVIDIA GeForce GTX 0.2025 0.405 0.6075 0.81 1.0125 SE +/- 0.01, N = 9 0.90
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 - eVGA NVIDIA GeForce GTX 0.4995 0.999 1.4985 1.998 2.4975 SE +/- 0.01, N = 3 2.22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.34, N = 3 74.12
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 - eVGA NVIDIA GeForce GTX 0.7583 1.5166 2.2749 3.0332 3.7915 SE +/- 0.01, N = 3 3.37
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 - eVGA NVIDIA GeForce GTX 0.6008 1.2016 1.8024 2.4032 3.004 SE +/- 0.04, N = 3 2.67
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.3083 0.6166 0.9249 1.2332 1.5415 SE +/- 0.02, N = 3 1.37
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 - eVGA NVIDIA GeForce GTX 0.279 0.558 0.837 1.116 1.395 SE +/- 0.05, N = 3 1.24
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 - eVGA NVIDIA GeForce GTX 0.2385 0.477 0.7155 0.954 1.1925 SE +/- 0.03, N = 3 1.06
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 - eVGA NVIDIA GeForce GTX 0.5378 1.0756 1.6134 2.1512 2.689 SE +/- 0.02, N = 3 2.39
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.10, N = 3 73.86
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 - eVGA NVIDIA GeForce GTX 0.7583 1.5166 2.2749 3.0332 3.7915 SE +/- 0.01, N = 3 3.37
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 - eVGA NVIDIA GeForce GTX 0.6683 1.3366 2.0049 2.6732 3.3415 SE +/- 0.00, N = 3 2.97
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.3645 0.729 1.0935 1.458 1.8225 SE +/- 0.02, N = 3 1.62
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 - eVGA NVIDIA GeForce GTX 0.3758 0.7516 1.1274 1.5032 1.879 SE +/- 0.02, N = 3 1.67
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 - eVGA NVIDIA GeForce GTX 0.3038 0.6076 0.9114 1.2152 1.519 SE +/- 0.03, N = 3 1.35
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.02, N = 3 6.92
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.28, N = 3 73.40
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 - eVGA NVIDIA GeForce GTX 0.7695 1.539 2.3085 3.078 3.8475 SE +/- 0.00, N = 3 3.42
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 - eVGA NVIDIA GeForce GTX 1.0395 2.079 3.1185 4.158 5.1975 SE +/- 0.04, N = 3 4.62
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.0373 2.0746 3.1119 4.1492 5.1865 SE +/- 0.04, N = 3 4.61
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 - eVGA NVIDIA GeForce GTX 1.1565 2.313 3.4695 4.626 5.7825 SE +/- 0.07, N = 3 5.14
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 - eVGA NVIDIA GeForce GTX 1.0958 2.1916 3.2874 4.3832 5.479 SE +/- 0.06, N = 3 4.87
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.03, N = 3 6.51
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.39, N = 3 73.56
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 - eVGA NVIDIA GeForce GTX 0.756 1.512 2.268 3.024 3.78 SE +/- 0.04, N = 3 3.36
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 - eVGA NVIDIA GeForce GTX 0.9315 1.863 2.7945 3.726 4.6575 SE +/- 0.04, N = 3 4.14
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.9788 1.9576 2.9364 3.9152 4.894 SE +/- 0.07, N = 3 4.35
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 - eVGA NVIDIA GeForce GTX 1.125 2.25 3.375 4.5 5.625 SE +/- 0.11, N = 3 5.00
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 - eVGA NVIDIA GeForce GTX 1.0485 2.097 3.1455 4.194 5.2425 SE +/- 0.21, N = 3 4.66
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.06, N = 15 7.09
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.13, N = 15 73.66
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 - eVGA NVIDIA GeForce GTX 0.7628 1.5256 2.2884 3.0512 3.814 SE +/- 0.01, N = 15 3.39
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 - eVGA NVIDIA GeForce GTX 1.0485 2.097 3.1455 4.194 5.2425 SE +/- 0.03, N = 15 4.66
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.053 2.106 3.159 4.212 5.265 SE +/- 0.04, N = 15 4.68
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 - eVGA NVIDIA GeForce GTX 1.1903 2.3806 3.5709 4.7612 5.9515 SE +/- 0.05, N = 15 5.29
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 - eVGA NVIDIA GeForce GTX 1.1273 2.2546 3.3819 4.5092 5.6365 SE +/- 0.08, N = 15 5.01
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.04, N = 3 7.61
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.44, N = 3 73.62
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 - eVGA NVIDIA GeForce GTX 0.7628 1.5256 2.2884 3.0512 3.814 SE +/- 0.02, N = 3 3.39
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 - eVGA NVIDIA GeForce GTX 1.0868 2.1736 3.2604 4.3472 5.434 SE +/- 0.03, N = 3 4.83
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.116 2.232 3.348 4.464 5.58 SE +/- 0.12, N = 3 4.96
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 - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.26, N = 3 6.04
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 - eVGA NVIDIA GeForce GTX 1.2308 2.4616 3.6924 4.9232 6.154 SE +/- 0.07, N = 3 5.47
AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F37c BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 2 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Intel I211 + Intel Dual Band-AC 3168NGW
OS: Gentoo 2.8, Kernel: 5.19.0-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Java Notes: OpenJDK Runtime Environment Temurin-17.0.3+7 (build 17.0.3+7)Python Notes: Python 3.10.5Security 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: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 August 2022 07:49 by user quark.