75f3 2p august

2 x AMD EPYC 75F3 32-Core testing with a ASRockRack ROME2D16-2T (P3.30 BIOS) and ASPEED on Ubuntu 21.10 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 2208052-NE-75F32PAUG37
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
August 04 2022
  9 Hours, 45 Minutes
B
August 04 2022
  23 Hours, 5 Minutes
Invert Behavior (Only Show Selected Data)
  16 Hours, 25 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001114
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.21.10.1)
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

B

Processor: 2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.30 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-phx-mglru-v12 (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

75f3 2p augustOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads)ASRockRack ROME2D16-2T (P3.30 BIOS)AMD Starship/Matisse128GB1000GB Western Digital WD_BLACK SN850 1TBASPEEDAMD Starship/MatisseVE2282 x Intel 10G X550TUbuntu 21.105.19.0-rc2-phx-mglru-v12 (x86_64)GNOME Shell 40.5X Server1.1.182GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolution75f3 2p August 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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001114 - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.21.10.1)- Python 3.9.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

A vs. B ComparisonPhoronix Test SuiteBaseline+12.5%+12.5%+25%+25%+37.5%+37.5%50%38.8%19.7%19.6%19.4%15.8%15.1%15%14.1%13.8%11.5%11.2%10.6%8.2%6.6%5.7%5.6%5.5%5.3%5.3%5%4.9%4.9%4.8%4.7%4.6%4.4%3.9%3.3%3.2%2.9%2.8%2.6%2.6%2.6%20000000 - 100 - C.P.B.U.D20000000 - 1000 - C.P.B.U.D40000000 - 1000 - C.P.B.U.D27.3%1000000 - 1000 - C.P.B.U.D26.5%1000000 - 500 - C.P.B.U.D24.4%10000000 - 100 - C.P.B.U.D22.8%20000000 - 500 - C.P.B.U.D20.6%20000000 - 1000 - I.J.T.T19.8%40000000 - 2000 - Group By Test Time10000000 - 2000 - I.J.T.T1000000 - 2000 - B.I.J.T.T1000000 - 500 - B.I.J.T.T18.5%1000000 - 100 - C.P.B.U.D18.4%1000000 - 100 - R.T.T18%40000000 - 500 - C.P.B.U.D16%10000000 - 2000 - B.I.J.T.T20000000 - 100 - I.J.T.T10000000 - 500 - R.T.T20000000 - 500 - I.J.T.T40000000 - 1000 - Group By Test Time13.9%20000000 - 500 - R.T.T13.9%20000000 - 2000 - B.I.J.T.T1000000 - 2000 - I.J.T.T13.7%1000000 - 100 - B.I.J.T.T12.5%10000000 - 1000 - C.P.B.U.D11.6%20000000 - 100 - B.I.J.T.T10000000 - 1000 - B.I.J.T.T40000000 - 500 - Group By Test Time10.7%1000000 - 500 - R.T.T20000000 - 100 - R.T.T9.8%10000000 - 500 - C.P.B.U.D9.7%1000000 - 2000 - C.P.B.U.D9.6%40000000 - 100 - R.T.T40000000 - 2000 - C.P.B.U.D8.1%40000000 - 1000 - I.J.T.T8%Rhodopsin Protein7.6%10000000 - 2000 - R.T.T7.5%40000000 - 100 - C.P.B.U.D6.8%10000000 - 500 - Group By Test Time10000000 - 1000 - R.T.T6.5%1000000 - 2000 - Group By Test Time6.4%1000000 - 500 - Group By Test Time6.3%40000000 - 2000 - I.J.T.T10000000 - 100 - B.I.J.T.T10000000 - 1000 - Group By Test Time40000000 - 100 - B.I.J.T.T10000000 - 100 - I.J.T.T10000000 - 500 - B.I.J.T.T1000000 - 500 - I.J.T.T40000000 - 100 - I.J.T.T1000000 - 100 - Group By Test Time4.9%10000000 - 100 - R.T.T20000000 - 100 - S.5.B.T10000000 - 1000 - I.J.T.T4.7%10000000 - 500 - I.J.T.T4.6%20000000 - 500 - B.I.J.T.T20000000 - 2000 - S.5.B.T40000000 - 2000 - R.T.T4.3%20000000 - 1000 - B.I.J.T.T4.3%10000000 - 2000 - C.P.B.U.D40000000 - 2000 - S.5.B.T3.8%20000000 - 2000 - C.P.B.U.D3.6%20000000 - 2000 - I.J.T.T1000000 - 1000 - I.J.T.T20000000 - 2000 - Group By Test Time3.2%40000000 - 1000 - R.T.T20000000 - 500 - S.5.B.T2.8%40000000 - 500 - R.T.T1000000 - 1000 - R.T.T2.7%40000000 - 100 - S.5.B.T1000000 - 2000 - R.T.T40000000 - 1000 - B.I.J.T.T2.6%1000000 - 100 - S.5.B.T2.6%10000000 - 1000 - S.5.B.T2.3%20000000 - 1000 - S.5.B.T2.1%1000000 - 2000 - S.5.B.T2%Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkLAMMPS Molecular Dynamics SimulatorApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkNode.js V8 Web Tooling BenchmarkApache SparkApache SparkApache SparkApache SparkApache SparkAB

75f3 2p augustspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 40000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Repartition Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Group By Test Timespark: 40000000 - 100 - Repartition Test Timespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Inner Join Test Timelammps: Rhodopsin Proteinspark: 10000000 - 2000 - Repartition Test Timespark: 10000000 - 500 - Group By Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 500 - Group By Test Timespark: 40000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Group By Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Group By Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Repartition Test Timespark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Inner Join Test Timespark: 20000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 500 - Repartition Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Repartition Test Timenode-web-tooling: spark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - SHA-512 Benchmark Timeastcenc: Mediumspark: 40000000 - 2000 - Broadcast Inner Join Test Timeprimesieve: 1e12spark: 1000000 - 500 - SHA-512 Benchmark Timeopenfoam: motorBike - Execution Timesvt-av1: Preset 8 - Bosphorus 4Kspark: 40000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Calculate Pi Benchmarksvt-av1: Preset 12 - Bosphorus 1080pspark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Group By Test Timespark: 1000000 - 100 - Inner Join Test Timeastcenc: Fastsvt-av1: Preset 8 - Bosphorus 1080pspark: 40000000 - 100 - Group By Test Timespark: 20000000 - 100 - Group By Test Timesvt-av1: Preset 4 - Bosphorus 1080pspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmarklammps: 20k Atomsspark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Group By Test Timespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Repartition Test Timespark: 20000000 - 500 - Group By Test Timespark: 1000000 - 100 - Calculate Pi Benchmarkospray-studio: 1 - 1080p - 16 - Path Tracersvt-av1: Preset 10 - Bosphorus 4Kspark: 20000000 - 100 - Calculate Pi Benchmarkospray-studio: 1 - 4K - 32 - Path Tracerspark: 20000000 - 1000 - Group By Test Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerspark: 40000000 - 500 - Inner Join Test Timeospray-studio: 2 - 1080p - 16 - Path Tracerprimesieve: 1e13spark: 10000000 - 500 - SHA-512 Benchmark Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Calculate Pi Benchmarkopenfoam: drivaerFastback, Large Mesh Size - Mesh Timeospray-studio: 3 - 1080p - 32 - Path Tracerspark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 2000 - Calculate Pi Benchmarksvt-av1: Preset 10 - Bosphorus 1080pospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Traceropenfoam: drivaerFastback, Medium Mesh Size - Execution Timeastcenc: Exhaustiveospray-studio: 2 - 4K - 32 - Path Tracerastcenc: Thoroughspark: 10000000 - 2000 - SHA-512 Benchmark Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: motorBike - Mesh Timespark: 10000000 - 100 - Group By Test Timespark: 40000000 - 1000 - SHA-512 Benchmark Timeospray-studio: 1 - 1080p - 1 - Path Tracerspark: 1000000 - 500 - Calculate Pi Benchmarkospray-studio: 2 - 1080p - 1 - Path Tracerspark: 20000000 - 1000 - Repartition Test Timespark: 40000000 - 100 - Calculate Pi Benchmarkospray-studio: 3 - 1080p - 1 - Path Tracersvt-av1: Preset 12 - Bosphorus 4Kspark: 10000000 - 1000 - Calculate Pi Benchmarkospray-studio: 2 - 4K - 1 - Path Traceropenfoam: drivaerFastback, Large Mesh Size - Execution Timeospray-studio: 3 - 4K - 16 - Path Tracersvt-av1: Preset 4 - Bosphorus 4Kospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerspark: 10000000 - 500 - Calculate Pi Benchmarkaircrack-ng: spark: 1000000 - 1000 - SHA-512 Benchmark Timeospray-studio: 1 - 4K - 1 - Path Tracerspark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Repartition Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Inner Join Test Timespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Repartition Test Timespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using DataframeAB3.112.0511.1325.3636886198.016.5311.59922560220.599.0711.432.918.4321.8218.602.1018.1028.4275.2210.016.526.1720.469.7416.592.9718.105.7217.1887088079.3518.5117.789.842.6930.732.2011.6613.9518.1816.7217.87272942830.8944929833.1211.4817.283.9110.4316.944.55329.72918.453.1144.3970.8674.02230.4908995823.88507.09823.7074702029.342.37815.3515157.71918.9413.320847736.89624.0424.12902932826.4717.536.7324.089.5810.0614.3623.777499126.83124.036459714.59351.83038889352944317.52766537.39510.4496.9923.7023.95620.651792823.8123.7724.14339.814221714968351.814.72916550144.067210.8596.936.818.4030.9946723.794759.9724.115291462554171.67124.1418929235.03354252.626152747579324.062991411277544.3754.4318576.466.575.242.592.192.2012.122.239.023.425.676.546.292.164.916.195.282.153.022.391.972.872.572.041.622.912.131.442.112.072.242.6113.3321.196.705.6410.0823.4610.3310.043.317.5624.1617.192.2719.5526.4265.619.396.946.5619.369.2315.752.8317.256.0016.418.9417.7318.54656292610.262.5931.892.2811.2914.3917.6717.1917.3930.103.0411.7817.734.0110.6717.294.64323.54218.113.1724.4769.772.87530.9324.21500.45424.029.222.40825.6504155.75518.7113.166.81524.3224.3926.19817.366.6724.299.669.9814.4723.957449126.06223.896497514.51349.893022588882959517.61762637.20610.3997.4523.8124.06617.891785223.7123.8724.04338.421220815022350.574.74456570243.94210.8897.1436.98.3830.9246623.744769.9524.16555171.41024.1118909227.11353972.625152797581724.06277518.5424.4318575.816.885.582.892.542.3510.622.699.902.285.406.845.472.374.655.885.042.642.532.621.962.782.642.581.922.632.651.622.492.45OpenBenchmarking.org

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: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB0.69981.39962.09942.79923.4993.112.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB0.58731.17461.76192.34922.93652.052.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeAB369121511.1313.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeAB61218243025.3621.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeAB2468108.016.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB2468106.535.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeAB3691215SE +/- 0.28, N = 311.6010.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeAB61218243020.5923.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeAB3691215SE +/- 0.31, N = 39.0710.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB369121511.4310.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeAB0.74481.48962.23442.97923.724SE +/- 0.09, N = 32.913.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB246810SE +/- 0.07, N = 38.437.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeAB612182430SE +/- 3.46, N = 221.8224.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeAB510152025SE +/- 0.21, N = 1218.6017.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB0.51081.02161.53242.04322.5542.102.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeAB51015202518.1019.55

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAB714212835SE +/- 0.40, N = 1528.4326.431. (CXX) g++ options: -O3 -lm -ldl

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: 10000000 - Partitions: 2000 - Repartition Test TimeAB1.26232.52463.78695.04926.31155.225.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeAB3691215SE +/- 0.08, N = 1510.019.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeAB246810SE +/- 0.11, N = 36.526.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeAB246810SE +/- 0.08, N = 56.176.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeAB51015202520.4619.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeAB3691215SE +/- 0.14, N = 39.749.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB48121620SE +/- 0.12, N = 1216.5915.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeAB0.66831.33662.00492.67323.3415SE +/- 0.05, N = 52.972.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeAB48121620SE +/- 0.25, N = 1218.1017.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeAB246810SE +/- 0.06, N = 155.726.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeAB48121620SE +/- 0.10, N = 317.1916.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB3691215SE +/- 0.22, N = 39.358.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB51015202518.5117.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeAB51015202517.7818.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB36912159.8410.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB0.60531.21061.81592.42123.02652.692.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB71421283530.7331.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB0.5131.0261.5392.0522.5652.202.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeAB369121511.6611.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeAB4812162013.9514.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeAB4812162018.1817.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeAB48121620SE +/- 0.09, N = 316.7217.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeAB48121620SE +/- 0.21, N = 217.8717.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeAB714212835SE +/- 0.26, N = 1230.8930.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeAB0.7021.4042.1062.8083.51SE +/- 0.06, N = 33.123.04

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkAB3691215SE +/- 0.06, N = 311.4811.78

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: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB4812162017.2817.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeAB0.90231.80462.70693.60924.5115SE +/- 0.04, N = 153.914.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB3691215SE +/- 0.12, N = 310.4310.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB4812162016.9417.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB1.0442.0883.1324.1765.22SE +/- 0.03, N = 34.554.64

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumAB70140210280350329.73323.541. (CXX) g++ options: -O3 -flto -pthread

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: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB51015202518.4518.11

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12AB0.71371.42742.14112.85483.5685SE +/- 0.020, N = 33.1143.1721. (CXX) g++ options: -O3

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: 500 - SHA-512 Benchmark TimeAB1.00582.01163.01744.02325.029SE +/- 0.05, N = 54.394.47

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: motorBike - Execution TimeAB163248648070.8669.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KAB1632486480SE +/- 0.11, N = 374.0272.881. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeAB714212835SE +/- 0.17, N = 330.4930.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkAB612182430SE +/- 0.03, N = 323.8824.21

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pAB110220330440550SE +/- 6.28, N = 3507.10500.451. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkAB61218243023.7124.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeAB36912159.349.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeAB0.541.081.622.162.7SE +/- 0.03, N = 152.372.40

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastAB2004006008001000815.35825.651. (CXX) g++ options: -O3 -flto -pthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pAB306090120150SE +/- 0.99, N = 3157.72155.761. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 40000000 - Partitions: 100 - Group By Test TimeAB510152025SE +/- 0.13, N = 1218.9418.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeAB3691215SE +/- 0.40, N = 313.3213.16

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pAB246810SE +/- 0.009, N = 36.8966.8151. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkAB61218243024.0424.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkAB61218243024.1324.39

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsAB612182430SE +/- 0.17, N = 326.4726.201. (CXX) g++ options: -O3 -lm -ldl

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: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB48121620SE +/- 0.21, N = 217.5317.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeAB246810SE +/- 0.04, N = 156.736.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkAB61218243024.0824.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeAB3691215SE +/- 0.06, N = 149.589.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeAB369121510.069.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeAB48121620SE +/- 0.32, N = 314.3614.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkAB612182430SE +/- 0.03, N = 1523.7723.95

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAB16003200480064008000SE +/- 1.00, N = 3749974491. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KAB306090120150SE +/- 0.80, N = 3126.83126.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 20000000 - Partitions: 100 - Calculate Pi BenchmarkAB612182430SE +/- 0.11, N = 324.0323.89

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAB14K28K42K56K70KSE +/- 276.45, N = 364597649751. (CXX) g++ options: -O3 -lm -ldl

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: 20000000 - Partitions: 1000 - Group By Test TimeAB4812162014.5914.51

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Execution TimeAB80160240320400351.80349.891. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAB7K14K21K28K35KSE +/- 70.49, N = 330388302251. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAB2K4K6K8K10KSE +/- 21.76, N = 3893588881. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAB6K12K18K24K30KSE +/- 57.50, N = 329443295951. (CXX) g++ options: -O3 -lm -ldl

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: 40000000 - Partitions: 500 - Inner Join Test TimeAB48121620SE +/- 0.15, N = 217.5217.61

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAB16003200480064008000SE +/- 15.92, N = 3766576261. (CXX) g++ options: -O3 -lm -ldl

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13AB918273645SE +/- 0.16, N = 337.4037.211. (CXX) g++ options: -O3

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: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeAB3691215SE +/- 0.08, N = 1510.4410.39

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Medium Mesh Size - Mesh TimeAB2040608010096.9997.451. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -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.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkAB612182430SE +/- 0.06, N = 1523.7023.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkAB612182430SE +/- 0.03, N = 323.9524.06

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Large Mesh Size - Mesh TimeAB130260390520650620.65617.891. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAB4K8K12K16K20KSE +/- 43.84, N = 317928178521. (CXX) g++ options: -O3 -lm -ldl

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: 2000 - Calculate Pi BenchmarkAB612182430SE +/- 0.02, N = 323.8123.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkAB612182430SE +/- 0.04, N = 1423.7723.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkAB61218243024.1424.04

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pAB70140210280350SE +/- 2.31, N = 3339.81338.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAB5001000150020002500SE +/- 1.53, N = 3221722081. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAB3K6K9K12K15KSE +/- 56.58, N = 314968150221. (CXX) g++ options: -O3 -lm -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Medium Mesh Size - Execution TimeAB80160240320400351.81350.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAB1.06752.1353.20254.275.33754.72914.74451. (CXX) g++ options: -O3 -flto -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAB14K28K42K56K70KSE +/- 70.22, N = 365501657021. (CXX) g++ options: -O3 -lm -ldl

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughAB102030405044.0743.941. (CXX) g++ options: -O3 -flto -pthread

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: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB369121510.8510.88

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Mesh TimeAB2040608010096.9097.141. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: motorBike - Mesh TimeAB81624324036.8136.901. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -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.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeAB246810SE +/- 0.08, N = 148.408.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB71421283530.9930.92

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAB100200300400500SE +/- 0.33, N = 34674661. (CXX) g++ options: -O3 -lm -ldl

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: 500 - Calculate Pi BenchmarkAB612182430SE +/- 0.03, N = 523.7923.74

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAB100200300400500SE +/- 0.67, N = 34754761. (CXX) g++ options: -O3 -lm -ldl

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: 20000000 - Partitions: 1000 - Repartition Test TimeAB36912159.979.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkAB612182430SE +/- 0.03, N = 1224.1224.16

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAB120240360480600SE +/- 1.20, N = 35545551. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KAB4080120160200SE +/- 1.40, N = 15171.67171.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkAB612182430SE +/- 0.05, N = 324.1424.11

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAB400800120016002000SE +/- 1.45, N = 3189218901. (CXX) g++ options: -O3 -lm -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Large Mesh Size - Execution TimeAB2K4K6K8K10K9235.039227.111. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAB8K16K24K32K40KSE +/- 44.21, N = 335425353971. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KAB0.59091.18181.77272.36362.9545SE +/- 0.013, N = 32.6262.6251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAB3K6K9K12K15KSE +/- 12.22, N = 315274152791. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAB16K32K48K64K80KSE +/- 216.83, N = 375793758171. (CXX) g++ options: -O3 -lm -ldl

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: 10000000 - Partitions: 500 - Calculate Pi BenchmarkAB612182430SE +/- 0.02, N = 1524.0624.06

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7AB60K120K180K240K300KSE +/- 54.53, N = 3277544.38277518.541. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread

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: 1000 - SHA-512 Benchmark TimeAB0.99681.99362.99043.98724.984SE +/- 0.04, N = 154.434.43

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAB400800120016002000SE +/- 1.33, N = 3185718571. (CXX) g++ options: -O3 -lm -ldl

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: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB246810SE +/- 0.23, N = 36.465.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeAB246810SE +/- 0.28, N = 36.576.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeAB1.25552.5113.76655.0226.2775SE +/- 0.30, N = 35.245.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB0.65031.30061.95092.60123.2515SE +/- 0.40, N = 32.592.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB0.57151.1431.71452.2862.8575SE +/- 0.15, N = 32.192.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB0.52881.05761.58642.11522.644SE +/- 0.09, N = 122.202.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeAB3691215SE +/- 0.46, N = 312.1210.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB0.60531.21061.81592.42123.0265SE +/- 0.22, N = 32.232.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeAB3691215SE +/- 0.36, N = 39.029.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB0.76951.5392.30853.0783.8475SE +/- 0.10, N = 33.422.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB1.27582.55163.82745.10326.379SE +/- 0.10, N = 155.675.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeAB246810SE +/- 0.18, N = 156.546.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeAB246810SE +/- 0.11, N = 156.295.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB0.53331.06661.59992.13322.6665SE +/- 0.07, N = 152.162.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB1.10482.20963.31444.41925.524SE +/- 0.11, N = 144.914.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeAB246810SE +/- 0.14, N = 146.195.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeAB1.1882.3763.5644.7525.94SE +/- 0.11, N = 145.285.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB0.5941.1881.7822.3762.97SE +/- 0.14, N = 142.152.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB0.67951.3592.03852.7183.3975SE +/- 0.17, N = 33.022.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB0.58951.1791.76852.3582.9475SE +/- 0.24, N = 32.392.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB0.44330.88661.32991.77322.2165SE +/- 0.05, N = 151.971.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeAB0.64581.29161.93742.58323.229SE +/- 0.06, N = 152.872.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeAB0.5941.1881.7822.3762.97SE +/- 0.07, N = 152.572.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB0.58051.1611.74152.3222.9025SE +/- 0.10, N = 152.042.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB0.4320.8641.2961.7282.16SE +/- 0.07, N = 51.621.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeAB0.65481.30961.96442.61923.274SE +/- 0.08, N = 52.912.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB0.59631.19261.78892.38522.9815SE +/- 0.20, N = 52.132.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB0.36450.7291.09351.4581.8225SE +/- 0.03, N = 151.441.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeAB0.56031.12061.68092.24122.8015SE +/- 0.11, N = 152.112.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB0.55131.10261.65392.20522.7565SE +/- 0.12, N = 152.072.45

156 Results Shown

Apache Spark:
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Inner Join Test Time
  40000000 - 2000 - Group By Test Time
  10000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  20000000 - 100 - Inner Join Test Time
  40000000 - 1000 - Group By Test Time
  20000000 - 500 - Repartition Test Time
  20000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Inner Join Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 500 - Group By Test Time
  40000000 - 100 - Repartition Test Time
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Inner Join Test Time
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  10000000 - 2000 - Repartition Test Time
  10000000 - 500 - Group By Test Time
  1000000 - 2000 - Group By Test Time
  1000000 - 500 - Group By Test Time
  40000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - Group By Test Time
  40000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 500 - Inner Join Test Time
  40000000 - 100 - Inner Join Test Time
  1000000 - 100 - Group By Test Time
  20000000 - 100 - SHA-512 Benchmark Time
  20000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 2000 - Repartition Test Time
  20000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Inner Join Test Time
  20000000 - 2000 - Group By Test Time
  40000000 - 1000 - Repartition Test Time
  20000000 - 500 - SHA-512 Benchmark Time
  40000000 - 500 - Repartition Test Time
  40000000 - 100 - SHA-512 Benchmark Time
  1000000 - 2000 - Repartition Test Time
Node.js V8 Web Tooling Benchmark
Apache Spark:
  40000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 100 - SHA-512 Benchmark Time
  10000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 2000 - SHA-512 Benchmark Time
ASTC Encoder
Apache Spark
Primesieve
Apache Spark
OpenFOAM
SVT-AV1
Apache Spark:
  40000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Calculate Pi Benchmark
SVT-AV1
Apache Spark:
  40000000 - 2000 - Calculate Pi Benchmark
  10000000 - 2000 - Group By Test Time
  1000000 - 100 - Inner Join Test Time
ASTC Encoder
SVT-AV1
Apache Spark:
  40000000 - 100 - Group By Test Time
  20000000 - 100 - Group By Test Time
SVT-AV1
Apache Spark:
  20000000 - 1000 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  40000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 1000 - Group By Test Time
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 100 - SHA-512 Benchmark Time
  20000000 - 2000 - Repartition Test Time
  20000000 - 500 - Group By Test Time
  1000000 - 100 - Calculate Pi Benchmark
OSPRay Studio
SVT-AV1
Apache Spark
OSPRay Studio
Apache Spark
OpenFOAM
OSPRay Studio:
  2 - 4K - 16 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  1 - 4K - 16 - Path Tracer
Apache Spark
OSPRay Studio
Primesieve
Apache Spark
OpenFOAM
Apache Spark:
  1000000 - 1000 - Calculate Pi Benchmark
  40000000 - 500 - Calculate Pi Benchmark
OpenFOAM
OSPRay Studio
Apache Spark:
  1000000 - 2000 - Calculate Pi Benchmark
  10000000 - 100 - Calculate Pi Benchmark
  20000000 - 2000 - Calculate Pi Benchmark
SVT-AV1
OSPRay Studio:
  3 - 4K - 1 - Path Tracer
  1 - 1080p - 32 - Path Tracer
OpenFOAM
ASTC Encoder
OSPRay Studio
ASTC Encoder
Apache Spark
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  motorBike - Mesh Time
Apache Spark:
  10000000 - 100 - Group By Test Time
  40000000 - 1000 - SHA-512 Benchmark Time
OSPRay Studio
Apache Spark
OSPRay Studio
Apache Spark:
  20000000 - 1000 - Repartition Test Time
  40000000 - 100 - Calculate Pi Benchmark
OSPRay Studio
SVT-AV1
Apache Spark
OSPRay Studio
OpenFOAM
OSPRay Studio
SVT-AV1
OSPRay Studio:
  2 - 1080p - 32 - Path Tracer
  3 - 4K - 32 - Path Tracer
Apache Spark
Aircrack-ng
Apache Spark
OSPRay Studio
Apache Spark:
  10000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  10000000 - 1000 - Repartition Test Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Inner Join Test Time
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Repartition Test Time
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - Broadcast Inner Join Test Time
  10000000 - 500 - Inner Join Test Time
  10000000 - 500 - Repartition Test Time
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 100 - Inner Join Test Time
  10000000 - 100 - Repartition Test Time
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
  1000000 - 1000 - Repartition Test Time
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Repartition Test Time
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 100 - Repartition Test Time
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe

A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001114
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.21.10.1)
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 August 2022 16:08 by user phoronix.

B

Processor: 2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.30 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 21.10, Kernel: 5.19.0-rc2-phx-mglru-v12 (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001114
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.21.10.1)
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 August 2022 20:46 by user phoronix.