AMD EPYC 7642 2P

2 x AMD EPYC 7642 48-Core testing with a AMD DAYTONA_X (RDY1001C BIOS) and llvmpipe 504GB on Ubuntu 19.10 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 1910192-HU-AMDEPYC7668
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AV1 3 Tests
Chess Test Suite 2 Tests
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HPC - High Performance Computing 5 Tests
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EPYC 7642 2P
October 17 2019
  12 Hours, 1 Minute
Linux 5.4 Git
October 18 2019
  12 Hours, 38 Minutes
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EPYC 7642 2P

Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Network: 2 x Mellanox MT27710

OS: Ubuntu 19.10, Kernel: 5.3.0-18-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Java Notes: OpenJDK Runtime Environment (build 11.0.5-ea+9-post-Ubuntu-1ubuntu1)
Python Notes: Python 2.7.17rc1 + Python 3.7.5rc1
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

Linux 5.4 Git

Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191017, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Java Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 2.7.17rc1 + Python 3.7.5rc1
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

AMD EPYC 7642 2PProcessorMotherboardChipsetMemoryDiskGraphicsNetworkMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7642 2PLinux 5.4 Git2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads)AMD DAYTONA_X (RDY1001C BIOS)AMD Starship/Matisse516096MB280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFDllvmpipe 504GB2 x Mellanox MT27710Ubuntu 19.105.3.0-18-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.1 (LLVM 9.0 128 bits)GCC 9.2.1 20191008ext41920x1080VE2285.4.0-999-generic (x86_64) 20191017OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --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-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 Disk Details- NONE / errors=remount-ro,relatime,rwProcessor Details- Scaling Governor: acpi-cpufreq ondemandJava Details- EPYC 7642 2P: OpenJDK Runtime Environment (build 11.0.5-ea+9-post-Ubuntu-1ubuntu1)- Linux 5.4 Git: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Python Details- Python 2.7.17rc1 + Python 3.7.5rc1Security Details- l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

EPYC 7642 2P vs. Linux 5.4 Git ComparisonPhoronix Test SuiteBaseline+925.4%+925.4%+1850.8%+1850.8%+2776.2%+2776.2%131.2%45.1%34.1%16.7%5.7%5.5%4.1%3.7%3.5%3.4%3.1%3.1%2.8%2.8%2.4%2%2%Reads3701.4%ForkingMixed 1:1112.3%Context Switching91.5%LPOP69.6%Mixed 1:366.1%IP Batch 1D - f3259.3%S.V.M.PNon-ExponentialR.C.a.PIP Batch All - f3211.1%GET10.8%Seq Fill6.7%Buffer Test - Single Thread - Read Write6.2%Rand Fill SyncEnc Mode 4 - 1080pTsearch4.9%R.N.N.T - f32DLSC4%Buffer Test - Normal Load - Read WriteRand ReadD.B.d - f32BMW27 - CPU-Only3.3%V.Q.O - Bosphorus 1080pVMAF Optimized - Bosphorus 1080pElapsed Time3.1%Classroom - CPU-Only3%Read While WritingMemorialSummer Nature 4K2.7%H.2.V.E2.6%CoreMark Size 666 - I.P.SBarbershop - CPU-Only2.3%Socket Activity2.2%LU.C2.1%S.F.P.R2.1%SET2%Read TestEmilyApache CassandraStress-NGApache CassandraStress-NGRedisApache CassandraMKL-DNN DNNLStress-NGTungsten RendererLuxCoreRenderMKL-DNN DNNLRedisFacebook RocksDBPostgreSQL pgbenchFacebook RocksDBSVT-AV1Stress-NGMKL-DNN DNNLLuxCoreRenderPostgreSQL pgbenchFacebook RocksDBMKL-DNN DNNLBlenderSVT-VP9SVT-VP9N-QueensBlenderFacebook RocksDBIntel Open Image Denoisedav1dx264CoremarkBlenderStress-NGNAS Parallel BenchmarksACES DGEMMRedisIORAppleseedEPYC 7642 2PLinux 5.4 Git

AMD EPYC 7642 2Ptscp: AI Chess Performancectx-clock: Context Switch Timestress-ng: Cryptostress-ng: Bsearchstress-ng: Forkingstress-ng: Hsearchstress-ng: Lsearchstress-ng: Tsearchstress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathmkl-dnn: Convolution Batch conv_all - f32stress-ng: Vector Mathstress-ng: Memory Copyingstress-ng: Context Switchingmkl-dnn: Deconvolution Batch deconv_3d - f32stress-ng: Glibc C String Functionsmkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: IP Batch All - f32mkl-dnn: Deconvolution Batch deconv_all - f32stress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingglibc-bench: cosglibc-bench: expmkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: IP Batch 1D - f32mkl-dnn: Convolution Batch conv_alexnet - f32glibc-bench: ffsglibc-bench: singlibc-bench: log2mkl-dnn: Deconvolution Batch deconv_1d - f32glibc-bench: modfglibc-bench: sinhglibc-bench: sqrtglibc-bench: tanhglibc-bench: asinhglibc-bench: atanhglibc-bench: ffsllglibc-bench: sincosglibc-bench: pthread_onceencode-mp3: WAV To MP3mrbayes: Primate Phylogeny Analysisnpb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: MG.Cnpb: SP.Bnamd: ATPase Simulation - 327,506 Atomsmt-dgemm: Sustained Floating-Point Ratepennant: sedovbigpennant: leblancbigcoremark: CoreMark Size 666 - Iterations Per Secondn-queens: Elapsed Timebuild-llvm: Time To Compilebuild-gcc: Time To Compilebuild-linux-kernel: Time To Compilelibgav1: Chimera 1080plibgav1: Summer Nature 4Klibgav1: Summer Nature 1080plibgav1: Chimera 1080p 10-bittungsten: Hairior: Read Teststress-ng: Socket Activitytungsten: Water Caustictungsten: Non-Exponentialtungsten: Volumetric Causticvpxenc: vpxenc VP9 1080p Video Encodesvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px264: H.264 Video Encodingdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080px265: H.265 1080p Video Encodingc-ray: Total Time - 4K, 16 Rays Per Pixelblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objoidn: Memorialluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracerappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerredis: LPOPredis: SADDredis: LPUSHredis: GETior: Write Testredis: SETrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingsqlite-speedtest: Timed Time - Size 1,000cassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3pgbench: Buffer Test - Normal Load - Read Onlypgbench: Buffer Test - Normal Load - Read Writepgbench: Buffer Test - Single Thread - Read Onlypgbench: Buffer Test - Single Thread - Read Writeoptcarrot: Optimized Benchmarksudokut: Total TimeEPYC 7642 2PLinux 5.4 Git100950113820351.9446032.7216624.84529090.47957.832800.1328442.231371739.85465311.04472.70195708.7912383.1180545931.253.016777365.714.1510.332217.911041.2021122449.0055.456.35666.6232.061.8959.542.3255.137.632.822.9210.102.9113.9711.0613.212.3115.942.319.39107.51201645.456390.636617.2779464.67230894.3299614.54123514.780.3054420.55185.84177.252974027.491.9693.10743.4719.7534.0315.5748.2414.895.861853.7530423.8423.582.444.60134.36299.85308.06249.96150.02582.39325.32753.5998.990.059.64103.7247.467.9329.1657.2449.27149.0185.1068.6264.8457.1850.2555.0747.5426.070.260.1876.9216.397.01101.488.905024.39333.33175.6059.41299.612145929.251678729.141259232.881978766.831217.881434092.45247531355524652267279168644982172678.158249184260896450901340.2217610.4320533.902288.4679.5116.70101395813820296.0346467.6538433.07531774.86971.982669.9628397.901352785.79473539.51478.49195037.0712624.5242061807.032.916666704.114.1011.482220.961046.1630647604.0555.696.32640.6632.043.0159.072.3255.117.622.782.9210.172.9214.0011.0613.212.3215.952.329.42106.08202866.246343.746620.1879548.06226057.62101007.73125854.290.3072420.13187.07178.363044058.432.0291.88744.0519.6234.2615.4148.5214.905.841890.7329774.3323.681.824.59135.28309.03313.82257.69146.19576.73316.86739.7598.660.0510.17103.7448.037.8430.1258.9449.82152.5186.5568.1965.1057.9050.8555.9847.9426.790.250.2176.9216.396.901008.885024.39333.33172.2358.96302.041265416.741666898.121269417.131785900.381217.411405847.782449463679921002504201782841009776177.71217185659422271913157.6618259.7020674.992154.4580.3616.68OpenBenchmarking.org

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KSE +/- 1723.45, N = 5SE +/- 1367.47, N = 5100950110139581. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KMin: 1006906 / Avg: 1009501.4 / Max: 1016195Min: 1008750 / Avg: 1013957.6 / Max: 10161951. (CC) gcc options: -O3 -march=native

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7642 2PLinux 5.4 Git306090120150138138

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: CryptoEPYC 7642 2PLinux 5.4 Git4K8K12K16K20KSE +/- 37.73, N = 3SE +/- 60.19, N = 320351.9420296.031. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: CryptoEPYC 7642 2PLinux 5.4 Git4K8K12K16K20KMin: 20278.1 / Avg: 20351.94 / Max: 20402.36Min: 20216.76 / Avg: 20296.03 / Max: 20414.121. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: BsearchEPYC 7642 2PLinux 5.4 Git10K20K30K40K50KSE +/- 313.35, N = 3SE +/- 413.24, N = 346032.7246467.651. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: BsearchEPYC 7642 2PLinux 5.4 Git8K16K24K32K40KMin: 45644.09 / Avg: 46032.72 / Max: 46652.82Min: 45642.21 / Avg: 46467.65 / Max: 46916.291. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: ForkingEPYC 7642 2PLinux 5.4 Git8K16K24K32K40KSE +/- 314.91, N = 15SE +/- 426.31, N = 316624.8438433.071. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: ForkingEPYC 7642 2PLinux 5.4 Git7K14K21K28K35KMin: 15106.78 / Avg: 16624.84 / Max: 20092.23Min: 37607.03 / Avg: 38433.07 / Max: 39029.011. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: HsearchEPYC 7642 2PLinux 5.4 Git110K220K330K440K550KSE +/- 1266.53, N = 3SE +/- 1413.19, N = 3529090.47531774.861. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: HsearchEPYC 7642 2PLinux 5.4 Git90K180K270K360K450KMin: 527601.86 / Avg: 529090.47 / Max: 531609.69Min: 530104.24 / Avg: 531774.86 / Max: 534584.521. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: LsearchEPYC 7642 2PLinux 5.4 Git2004006008001000SE +/- 11.01, N = 3SE +/- 1.38, N = 3957.83971.981. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: LsearchEPYC 7642 2PLinux 5.4 Git2004006008001000Min: 936.83 / Avg: 957.83 / Max: 974.07Min: 970.1 / Avg: 971.98 / Max: 974.671. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: TsearchEPYC 7642 2PLinux 5.4 Git6001200180024003000SE +/- 16.20, N = 3SE +/- 11.22, N = 32800.132669.961. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: TsearchEPYC 7642 2PLinux 5.4 Git5001000150020002500Min: 2771.98 / Avg: 2800.13 / Max: 2828.09Min: 2652.49 / Avg: 2669.96 / Max: 2690.91. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: CPU StressEPYC 7642 2PLinux 5.4 Git6K12K18K24K30KSE +/- 30.73, N = 3SE +/- 99.17, N = 328442.2328397.901. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: CPU StressEPYC 7642 2PLinux 5.4 Git5K10K15K20K25KMin: 28406.64 / Avg: 28442.23 / Max: 28503.43Min: 28292.74 / Avg: 28397.9 / Max: 28596.121. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresEPYC 7642 2PLinux 5.4 Git300K600K900K1200K1500KSE +/- 8569.56, N = 3SE +/- 9614.88, N = 31371739.851352785.791. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KMin: 1354811.64 / Avg: 1371739.85 / Max: 1382525.32Min: 1336384.17 / Avg: 1352785.79 / Max: 1369680.161. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Matrix MathEPYC 7642 2PLinux 5.4 Git100K200K300K400K500KSE +/- 7826.09, N = 3SE +/- 7843.47, N = 3465311.04473539.511. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Matrix MathEPYC 7642 2PLinux 5.4 Git80K160K240K320K400KMin: 449711.66 / Avg: 465311.04 / Max: 474223.29Min: 458193.65 / Avg: 473539.51 / Max: 484029.951. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32EPYC 7642 2PLinux 5.4 Git100200300400500SE +/- 7.97, N = 3SE +/- 7.82, N = 3472.70478.49MIN: 440.83MIN: 441.571. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32EPYC 7642 2PLinux 5.4 Git80160240320400Min: 460.78 / Avg: 472.7 / Max: 487.83Min: 462.94 / Avg: 478.49 / Max: 487.771. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Vector MathEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KSE +/- 378.92, N = 3SE +/- 264.39, N = 3195708.79195037.071. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Vector MathEPYC 7642 2PLinux 5.4 Git30K60K90K120K150KMin: 194957.55 / Avg: 195708.79 / Max: 196170.8Min: 194771.48 / Avg: 195037.07 / Max: 195565.841. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Memory CopyingEPYC 7642 2PLinux 5.4 Git3K6K9K12K15KSE +/- 80.12, N = 3SE +/- 54.92, N = 312383.1112624.521. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Memory CopyingEPYC 7642 2PLinux 5.4 Git2K4K6K8K10KMin: 12299.76 / Avg: 12383.11 / Max: 12543.31Min: 12551.98 / Avg: 12624.52 / Max: 12732.211. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Context SwitchingEPYC 7642 2PLinux 5.4 Git20M40M60M80M100MSE +/- 1932864.46, N = 15SE +/- 706795.29, N = 1580545931.2542061807.031. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Context SwitchingEPYC 7642 2PLinux 5.4 Git14M28M42M56M70MMin: 64169070.11 / Avg: 80545931.25 / Max: 92468517.55Min: 36972977.65 / Avg: 42061807.03 / Max: 46078367.091. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32EPYC 7642 2PLinux 5.4 Git0.67731.35462.03192.70923.3865SE +/- 0.09, N = 12SE +/- 0.09, N = 153.012.91MIN: 2.28MIN: 2.321. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32EPYC 7642 2PLinux 5.4 Git246810Min: 2.57 / Avg: 3.01 / Max: 3.47Min: 2.48 / Avg: 2.91 / Max: 3.61. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Glibc C String FunctionsEPYC 7642 2PLinux 5.4 Git1.5M3M4.5M6M7.5MSE +/- 85811.53, N = 15SE +/- 109056.52, N = 156777365.716666704.111. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Glibc C String FunctionsEPYC 7642 2PLinux 5.4 Git1.2M2.4M3.6M4.8M6MMin: 6108690.91 / Avg: 6777365.71 / Max: 7198267.86Min: 5621306.31 / Avg: 6666704.11 / Max: 7215319.451. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32EPYC 7642 2PLinux 5.4 Git0.93381.86762.80143.73524.669SE +/- 0.02, N = 3SE +/- 0.04, N = 154.154.10MIN: 3.55MIN: 3.181. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32EPYC 7642 2PLinux 5.4 Git246810Min: 4.11 / Avg: 4.15 / Max: 4.18Min: 3.66 / Avg: 4.1 / Max: 4.241. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32EPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.10, N = 3SE +/- 0.13, N = 310.3311.48MIN: 9.3MIN: 10.421. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32EPYC 7642 2PLinux 5.4 Git3691215Min: 10.12 / Avg: 10.33 / Max: 10.46Min: 11.3 / Avg: 11.48 / Max: 11.741. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32EPYC 7642 2PLinux 5.4 Git5001000150020002500SE +/- 26.20, N = 3SE +/- 28.80, N = 52217.912220.96MIN: 2049.87MIN: 2009.541. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32EPYC 7642 2PLinux 5.4 Git400800120016002000Min: 2190.13 / Avg: 2217.91 / Max: 2270.27Min: 2128.03 / Avg: 2220.96 / Max: 2273.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Glibc Qsort Data SortingEPYC 7642 2PLinux 5.4 Git2004006008001000SE +/- 5.73, N = 3SE +/- 9.02, N = 31041.201046.161. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Glibc Qsort Data SortingEPYC 7642 2PLinux 5.4 Git2004006008001000Min: 1030.33 / Avg: 1041.2 / Max: 1049.8Min: 1028.16 / Avg: 1046.16 / Max: 1056.261. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: System V Message PassingEPYC 7642 2PLinux 5.4 Git7M14M21M28M35MSE +/- 270855.79, N = 15SE +/- 322145.83, N = 721122449.0030647604.051. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: System V Message PassingEPYC 7642 2PLinux 5.4 Git5M10M15M20M25MMin: 19738630.48 / Avg: 21122449 / Max: 24008125.2Min: 29751682.84 / Avg: 30647604.05 / Max: 32346324.471. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosEPYC 7642 2PLinux 5.4 Git1326395265SE +/- 0.02, N = 3SE +/- 0.23, N = 355.4555.69
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosEPYC 7642 2PLinux 5.4 Git1122334455Min: 55.43 / Avg: 55.45 / Max: 55.48Min: 55.44 / Avg: 55.69 / Max: 56.15

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expEPYC 7642 2PLinux 5.4 Git246810SE +/- 0.04, N = 6SE +/- 0.08, N = 36.356.32
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expEPYC 7642 2PLinux 5.4 Git3691215Min: 6.13 / Avg: 6.35 / Max: 6.39Min: 6.17 / Avg: 6.32 / Max: 6.4

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32EPYC 7642 2PLinux 5.4 Git140280420560700SE +/- 6.71, N = 3SE +/- 7.23, N = 3666.62640.66MIN: 603.35MIN: 598.41. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32EPYC 7642 2PLinux 5.4 Git120240360480600Min: 659.02 / Avg: 666.62 / Max: 680.01Min: 628.52 / Avg: 640.66 / Max: 653.531. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32EPYC 7642 2PLinux 5.4 Git714212835SE +/- 0.54, N = 3SE +/- 0.43, N = 332.0632.04MIN: 28.52MIN: 29.161. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32EPYC 7642 2PLinux 5.4 Git714212835Min: 30.98 / Avg: 32.06 / Max: 32.69Min: 31.54 / Avg: 32.04 / Max: 32.891. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32EPYC 7642 2PLinux 5.4 Git0.67731.35462.03192.70923.3865SE +/- 0.01, N = 3SE +/- 0.01, N = 31.893.01MIN: 1.62MIN: 2.71. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32EPYC 7642 2PLinux 5.4 Git246810Min: 1.88 / Avg: 1.89 / Max: 1.91Min: 2.98 / Avg: 3.01 / Max: 3.031. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32EPYC 7642 2PLinux 5.4 Git1326395265SE +/- 0.55, N = 15SE +/- 0.52, N = 1559.5459.07MIN: 53.81MIN: 53.661. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32EPYC 7642 2PLinux 5.4 Git1224364860Min: 55.88 / Avg: 59.54 / Max: 62.26Min: 56.85 / Avg: 59.07 / Max: 62.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsEPYC 7642 2PLinux 5.4 Git0.5221.0441.5662.0882.61SE +/- 0.00, N = 3SE +/- 0.00, N = 32.322.32
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsEPYC 7642 2PLinux 5.4 Git246810Min: 2.31 / Avg: 2.32 / Max: 2.32Min: 2.32 / Avg: 2.32 / Max: 2.32

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinEPYC 7642 2PLinux 5.4 Git1224364860SE +/- 0.00, N = 3SE +/- 0.00, N = 355.1355.11
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinEPYC 7642 2PLinux 5.4 Git1122334455Min: 55.13 / Avg: 55.13 / Max: 55.14Min: 55.11 / Avg: 55.11 / Max: 55.12

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2EPYC 7642 2PLinux 5.4 Git246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.637.62
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2EPYC 7642 2PLinux 5.4 Git3691215Min: 7.62 / Avg: 7.63 / Max: 7.63Min: 7.61 / Avg: 7.62 / Max: 7.64

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32EPYC 7642 2PLinux 5.4 Git0.63451.2691.90352.5383.1725SE +/- 0.04, N = 4SE +/- 0.02, N = 32.822.78MIN: 2.52MIN: 2.581. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32EPYC 7642 2PLinux 5.4 Git246810Min: 2.72 / Avg: 2.82 / Max: 2.88Min: 2.74 / Avg: 2.78 / Max: 2.81. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfEPYC 7642 2PLinux 5.4 Git0.6571.3141.9712.6283.285SE +/- 0.00, N = 12SE +/- 0.00, N = 122.922.92
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfEPYC 7642 2PLinux 5.4 Git246810Min: 2.92 / Avg: 2.92 / Max: 2.92Min: 2.92 / Avg: 2.92 / Max: 2.92

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhEPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 310.1010.17
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhEPYC 7642 2PLinux 5.4 Git3691215Min: 10.09 / Avg: 10.1 / Max: 10.12Min: 10.14 / Avg: 10.17 / Max: 10.22

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtEPYC 7642 2PLinux 5.4 Git0.6571.3141.9712.6283.285SE +/- 0.00, N = 3SE +/- 0.00, N = 122.912.92
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtEPYC 7642 2PLinux 5.4 Git246810Min: 2.91 / Avg: 2.91 / Max: 2.92Min: 2.92 / Avg: 2.92 / Max: 2.92

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 313.9714.00
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhEPYC 7642 2PLinux 5.4 Git48121620Min: 13.95 / Avg: 13.97 / Max: 13.99Min: 13.97 / Avg: 14 / Max: 14.03

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhEPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 311.0611.06
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhEPYC 7642 2PLinux 5.4 Git3691215Min: 11.05 / Avg: 11.06 / Max: 11.08Min: 11.06 / Avg: 11.06 / Max: 11.07

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhEPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 313.2113.21
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhEPYC 7642 2PLinux 5.4 Git48121620Min: 13.2 / Avg: 13.21 / Max: 13.21Min: 13.2 / Avg: 13.21 / Max: 13.22

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllEPYC 7642 2PLinux 5.4 Git0.5221.0441.5662.0882.61SE +/- 0.00, N = 3SE +/- 0.00, N = 102.312.32
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllEPYC 7642 2PLinux 5.4 Git246810Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 2.32 / Avg: 2.32 / Max: 2.32

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 315.9415.95
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosEPYC 7642 2PLinux 5.4 Git48121620Min: 15.93 / Avg: 15.94 / Max: 15.94Min: 15.94 / Avg: 15.95 / Max: 15.96

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceEPYC 7642 2PLinux 5.4 Git0.5221.0441.5662.0882.61SE +/- 0.00, N = 8SE +/- 0.00, N = 122.312.32
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceEPYC 7642 2PLinux 5.4 Git246810Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 2.32 / Avg: 2.32 / Max: 2.32

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 39.399.421. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7642 2PLinux 5.4 Git3691215Min: 9.39 / Avg: 9.39 / Max: 9.4Min: 9.39 / Avg: 9.42 / Max: 9.461. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 1.58, N = 4SE +/- 0.23, N = 3107.51106.081. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7642 2PLinux 5.4 Git20406080100Min: 105.76 / Avg: 107.51 / Max: 112.26Min: 105.64 / Avg: 106.08 / Max: 106.41. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KSE +/- 114.28, N = 3SE +/- 337.51, N = 3201645.45202866.241. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KMin: 201431.14 / Avg: 201645.45 / Max: 201821.41Min: 202195.65 / Avg: 202866.24 / Max: 203268.41. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7642 2PLinux 5.4 Git14002800420056007000SE +/- 33.28, N = 3SE +/- 43.17, N = 36390.636343.741. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7642 2PLinux 5.4 Git11002200330044005500Min: 6341.53 / Avg: 6390.63 / Max: 6454.09Min: 6285.22 / Avg: 6343.74 / Max: 6427.971. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7642 2PLinux 5.4 Git14002800420056007000SE +/- 4.17, N = 3SE +/- 2.78, N = 36617.276620.181. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7642 2PLinux 5.4 Git11002200330044005500Min: 6609.47 / Avg: 6617.27 / Max: 6623.75Min: 6617.05 / Avg: 6620.18 / Max: 6625.731. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7642 2PLinux 5.4 Git20K40K60K80K100KSE +/- 119.77, N = 3SE +/- 192.18, N = 379464.6779548.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7642 2PLinux 5.4 Git14K28K42K56K70KMin: 79270.41 / Avg: 79464.67 / Max: 79683.18Min: 79240.97 / Avg: 79548.06 / Max: 79901.771. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7642 2PLinux 5.4 Git50K100K150K200K250KSE +/- 448.47, N = 3SE +/- 2752.49, N = 3230894.32226057.621. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KMin: 230008.02 / Avg: 230894.32 / Max: 231456.75Min: 220580.07 / Avg: 226057.62 / Max: 229271.751. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7642 2PLinux 5.4 Git20K40K60K80K100KSE +/- 908.49, N = 10SE +/- 1414.68, N = 399614.54101007.731. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7642 2PLinux 5.4 Git20K40K60K80K100KMin: 97011.21 / Avg: 99614.54 / Max: 104607.08Min: 98744.95 / Avg: 101007.73 / Max: 103610.131. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7642 2PLinux 5.4 Git30K60K90K120K150KSE +/- 1182.49, N = 9SE +/- 1727.61, N = 14123514.78125854.291. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7642 2PLinux 5.4 Git20K40K60K80K100KMin: 117304.53 / Avg: 123514.78 / Max: 127209.87Min: 105185.02 / Avg: 125854.29 / Max: 132887.11. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13b1ATPase Simulation - 327,506 AtomsEPYC 7642 2PLinux 5.4 Git0.06910.13820.20730.27640.3455SE +/- 0.00151, N = 3SE +/- 0.00086, N = 50.305440.30724
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13b1ATPase Simulation - 327,506 AtomsEPYC 7642 2PLinux 5.4 Git12345Min: 0.3 / Avg: 0.31 / Max: 0.31Min: 0.3 / Avg: 0.31 / Max: 0.31

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7642 2PLinux 5.4 Git510152025SE +/- 0.33, N = 3SE +/- 0.20, N = 320.5520.131. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7642 2PLinux 5.4 Git510152025Min: 20.01 / Avg: 20.55 / Max: 21.14Min: 19.73 / Avg: 20.13 / Max: 20.361. (CC) gcc options: -O3 -march=native -fopenmp

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7642 2PLinux 5.4 Git4080120160200SE +/- 0.15, N = 3SE +/- 0.46, N = 3185.84187.071. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7642 2PLinux 5.4 Git306090120150Min: 185.54 / Avg: 185.84 / Max: 186.06Min: 186.48 / Avg: 187.07 / Max: 187.961. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7642 2PLinux 5.4 Git4080120160200SE +/- 0.20, N = 3SE +/- 0.13, N = 3177.25178.361. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7642 2PLinux 5.4 Git306090120150Min: 176.88 / Avg: 177.25 / Max: 177.56Min: 178.15 / Avg: 178.36 / Max: 178.611. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7642 2PLinux 5.4 Git700K1400K2100K2800K3500KSE +/- 44284.65, N = 3SE +/- 38536.01, N = 32974027.493044058.431. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7642 2PLinux 5.4 Git500K1000K1500K2000K2500KMin: 2899754.58 / Avg: 2974027.49 / Max: 3052949.59Min: 2967198.55 / Avg: 3044058.43 / Max: 3087437.191. (CC) gcc options: -O2 -lrt" -lrt

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7642 2PLinux 5.4 Git0.45450.9091.36351.8182.2725SE +/- 0.03, N = 15SE +/- 0.02, N = 151.962.021. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7642 2PLinux 5.4 Git246810Min: 1.79 / Avg: 1.96 / Max: 2.11Min: 1.92 / Avg: 2.02 / Max: 2.151. (CC) gcc options: -static -fopenmp -O3 -march=native

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 6.0.1Time To CompileEPYC 7642 2PLinux 5.4 Git2040608010093.1091.88

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 8.2Time To CompileEPYC 7642 2PLinux 5.4 Git160320480640800SE +/- 0.83, N = 3SE +/- 0.59, N = 3743.47744.05
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 8.2Time To CompileEPYC 7642 2PLinux 5.4 Git130260390520650Min: 741.85 / Avg: 743.47 / Max: 744.58Min: 742.86 / Avg: 744.05 / Max: 744.67

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7642 2PLinux 5.4 Git510152025SE +/- 0.19, N = 13SE +/- 0.19, N = 1319.7519.62
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7642 2PLinux 5.4 Git510152025Min: 19.42 / Avg: 19.75 / Max: 22.06Min: 19.33 / Avg: 19.62 / Max: 21.85

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pEPYC 7642 2PLinux 5.4 Git816243240SE +/- 0.12, N = 3SE +/- 0.21, N = 334.0334.261. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pEPYC 7642 2PLinux 5.4 Git714212835Min: 33.8 / Avg: 34.03 / Max: 34.18Min: 33.96 / Avg: 34.26 / Max: 34.661. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.05, N = 3SE +/- 0.05, N = 315.5715.411. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KEPYC 7642 2PLinux 5.4 Git48121620Min: 15.47 / Avg: 15.57 / Max: 15.64Min: 15.35 / Avg: 15.41 / Max: 15.511. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pEPYC 7642 2PLinux 5.4 Git1122334455SE +/- 0.64, N = 4SE +/- 0.69, N = 348.2448.521. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pEPYC 7642 2PLinux 5.4 Git1020304050Min: 46.8 / Avg: 48.24 / Max: 49.92Min: 47.27 / Avg: 48.52 / Max: 49.651. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.08, N = 3SE +/- 0.14, N = 314.8914.901. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitEPYC 7642 2PLinux 5.4 Git48121620Min: 14.73 / Avg: 14.89 / Max: 14.98Min: 14.63 / Avg: 14.9 / Max: 15.041. (CXX) g++ options: -O3 -lpthread

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7642 2PLinux 5.4 Git1.31852.6373.95555.2746.5925SE +/- 0.08, N = 3SE +/- 0.07, N = 35.865.841. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7642 2PLinux 5.4 Git246810Min: 5.75 / Avg: 5.86 / Max: 6.01Min: 5.73 / Avg: 5.84 / Max: 5.961. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestEPYC 7642 2PLinux 5.4 Git400800120016002000SE +/- 5.47, N = 3SE +/- 11.37, N = 31853.751890.73MIN: 947.1 / MAX: 2038.08MIN: 1432.14 / MAX: 1992.751. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestEPYC 7642 2PLinux 5.4 Git30060090012001500Min: 1846.01 / Avg: 1853.75 / Max: 1864.31Min: 1876.23 / Avg: 1890.73 / Max: 1913.141. (CC) gcc options: -O2 -lm -pthread -lmpi

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Socket ActivityEPYC 7642 2PLinux 5.4 Git7K14K21K28K35KSE +/- 365.28, N = 15SE +/- 39.14, N = 330423.8429774.331. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: Socket ActivityEPYC 7642 2PLinux 5.4 Git5K10K15K20K25KMin: 28081.23 / Avg: 30423.84 / Max: 32849.02Min: 29721.53 / Avg: 29774.33 / Max: 29850.781. (CC) gcc options: -O2 -std=gnu99 -lm -lz -lcrypt -lrt -lpthread -laio -lc

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7642 2PLinux 5.4 Git612182430SE +/- 0.36, N = 3SE +/- 0.26, N = 723.5823.681. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7642 2PLinux 5.4 Git612182430Min: 23.04 / Avg: 23.58 / Max: 24.26Min: 22.98 / Avg: 23.68 / Max: 24.691. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7642 2PLinux 5.4 Git0.5491.0981.6472.1962.745SE +/- 0.01, N = 3SE +/- 0.01, N = 32.441.821. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7642 2PLinux 5.4 Git246810Min: 2.43 / Avg: 2.44 / Max: 2.47Min: 1.8 / Avg: 1.82 / Max: 1.831. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7642 2PLinux 5.4 Git1.0352.073.1054.145.175SE +/- 0.01, N = 3SE +/- 0.00, N = 34.604.591. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7642 2PLinux 5.4 Git246810Min: 4.59 / Avg: 4.6 / Max: 4.61Min: 4.59 / Avg: 4.59 / Max: 4.61. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.1vpxenc VP9 1080p Video EncodeEPYC 7642 2PLinux 5.4 Git306090120150SE +/- 1.34, N = 9SE +/- 1.73, N = 3134.36135.281. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.1vpxenc VP9 1080p Video EncodeEPYC 7642 2PLinux 5.4 Git306090120150Min: 124.45 / Avg: 134.36 / Max: 138.12Min: 131.92 / Avg: 135.28 / Max: 137.661. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git70140210280350SE +/- 2.66, N = 3SE +/- 4.29, N = 3299.85309.031. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git60120180240300Min: 295.86 / Avg: 299.85 / Max: 304.88Min: 300.75 / Avg: 309.03 / Max: 315.131. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git70140210280350SE +/- 3.89, N = 3SE +/- 1.49, N = 3308.06313.821. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git60120180240300Min: 302.27 / Avg: 308.06 / Max: 315.46Min: 312.17 / Avg: 313.82 / Max: 316.791. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git60120180240300SE +/- 3.42, N = 3SE +/- 3.00, N = 3249.96257.691. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7642 2PLinux 5.4 Git50100150200250Min: 243.11 / Avg: 249.96 / Max: 253.49Min: 251.78 / Avg: 257.69 / Max: 261.551. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2018-09-25H.264 Video EncodingEPYC 7642 2PLinux 5.4 Git306090120150SE +/- 0.46, N = 3SE +/- 1.92, N = 12150.02146.191. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2018-09-25H.264 Video EncodingEPYC 7642 2PLinux 5.4 Git306090120150Min: 149.22 / Avg: 150.02 / Max: 150.83Min: 126.48 / Avg: 146.19 / Max: 152.971. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080pEPYC 7642 2PLinux 5.4 Git130260390520650SE +/- 2.86, N = 3SE +/- 1.77, N = 3582.39576.73MIN: 303.62 / MAX: 727.52MIN: 303.06 / MAX: 720.581. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080pEPYC 7642 2PLinux 5.4 Git100200300400500Min: 576.87 / Avg: 582.39 / Max: 586.45Min: 573.8 / Avg: 576.73 / Max: 579.921. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 4KEPYC 7642 2PLinux 5.4 Git70140210280350SE +/- 1.29, N = 3SE +/- 1.24, N = 3325.32316.86MIN: 73.11 / MAX: 396.1MIN: 72.13 / MAX: 389.591. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 4KEPYC 7642 2PLinux 5.4 Git60120180240300Min: 323.19 / Avg: 325.32 / Max: 327.65Min: 314.64 / Avg: 316.86 / Max: 318.921. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 1080pEPYC 7642 2PLinux 5.4 Git160320480640800SE +/- 3.89, N = 3SE +/- 5.57, N = 3753.59739.75MIN: 173.57 / MAX: 911.57MIN: 165.87 / MAX: 907.21. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 1080pEPYC 7642 2PLinux 5.4 Git130260390520650Min: 748.24 / Avg: 753.59 / Max: 761.16Min: 732.31 / Avg: 739.75 / Max: 750.641. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080p 10-bitEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.09, N = 3SE +/- 0.12, N = 398.9998.66MIN: 66.44 / MAX: 163.99MIN: 66.35 / MAX: 164.711. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080p 10-bitEPYC 7642 2PLinux 5.4 Git20406080100Min: 98.8 / Avg: 98.99 / Max: 99.09Min: 98.41 / Avg: 98.66 / Max: 98.821. (CC) gcc options: -pthread

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7642 2PLinux 5.4 Git0.01130.02260.03390.04520.0565SE +/- 0.00, N = 3SE +/- 0.00, N = 30.050.051. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7642 2PLinux 5.4 Git12345Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.051. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7642 2PLinux 5.4 Git3691215SE +/- 0.07, N = 3SE +/- 0.06, N = 39.6410.171. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7642 2PLinux 5.4 Git3691215Min: 9.51 / Avg: 9.64 / Max: 9.77Min: 10.06 / Avg: 10.17 / Max: 10.271. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.50, N = 3SE +/- 0.87, N = 3103.72103.741. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7642 2PLinux 5.4 Git20406080100Min: 102.76 / Avg: 103.72 / Max: 104.44Min: 102.01 / Avg: 103.74 / Max: 104.681. (CXX) g++ options: -fPIE -fPIC -pie

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingEPYC 7642 2PLinux 5.4 Git1122334455SE +/- 0.10, N = 3SE +/- 0.05, N = 347.4648.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingEPYC 7642 2PLinux 5.4 Git1020304050Min: 47.31 / Avg: 47.46 / Max: 47.64Min: 47.96 / Avg: 48.03 / Max: 48.121. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7642 2PLinux 5.4 Git246810SE +/- 0.03, N = 3SE +/- 0.03, N = 37.937.841. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7642 2PLinux 5.4 Git3691215Min: 7.88 / Avg: 7.93 / Max: 7.99Min: 7.8 / Avg: 7.84 / Max: 7.91. (CC) gcc options: -lm -lpthread -O3

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: BMW27 - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git714212835SE +/- 0.05, N = 3SE +/- 0.08, N = 329.1630.12
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: BMW27 - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git714212835Min: 29.08 / Avg: 29.16 / Max: 29.24Min: 29.99 / Avg: 30.12 / Max: 30.25

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Classroom - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git1326395265SE +/- 0.09, N = 3SE +/- 0.18, N = 357.2458.94
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Classroom - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git1224364860Min: 57.06 / Avg: 57.24 / Max: 57.38Min: 58.6 / Avg: 58.94 / Max: 59.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git1122334455SE +/- 0.19, N = 3SE +/- 0.11, N = 349.2749.82
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git1020304050Min: 49.03 / Avg: 49.27 / Max: 49.65Min: 49.6 / Avg: 49.82 / Max: 49.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Barbershop - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git306090120150SE +/- 0.37, N = 3SE +/- 1.10, N = 3149.01152.51
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Barbershop - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git306090120150Min: 148.35 / Avg: 149.01 / Max: 149.62Min: 150.31 / Avg: 152.51 / Max: 153.69

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.25, N = 3SE +/- 0.32, N = 385.1086.55
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.80Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7642 2PLinux 5.4 Git1632486480Min: 84.61 / Avg: 85.1 / Max: 85.38Min: 86.15 / Avg: 86.55 / Max: 87.18

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: CrownEPYC 7642 2PLinux 5.4 Git1530456075SE +/- 0.11, N = 3SE +/- 0.53, N = 368.6268.19MIN: 65.5 / MAX: 72.75MIN: 63.35 / MAX: 72.68
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: CrownEPYC 7642 2PLinux 5.4 Git1326395265Min: 68.48 / Avg: 68.62 / Max: 68.84Min: 67.12 / Avg: 68.19 / Max: 68.76

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: CrownEPYC 7642 2PLinux 5.4 Git1530456075SE +/- 0.21, N = 3SE +/- 0.13, N = 364.8465.10MIN: 61.46 / MAX: 69.24MIN: 61.9 / MAX: 69.36
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: CrownEPYC 7642 2PLinux 5.4 Git1326395265Min: 64.42 / Avg: 64.84 / Max: 65.06Min: 64.83 / Avg: 65.1 / Max: 65.24

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian DragonEPYC 7642 2PLinux 5.4 Git1326395265SE +/- 0.05, N = 3SE +/- 0.06, N = 357.1857.90MIN: 55.25 / MAX: 60.16MIN: 55.91 / MAX: 61.57
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian DragonEPYC 7642 2PLinux 5.4 Git1122334455Min: 57.08 / Avg: 57.18 / Max: 57.25Min: 57.8 / Avg: 57.9 / Max: 58.02

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7642 2PLinux 5.4 Git1122334455SE +/- 0.07, N = 3SE +/- 0.05, N = 350.2550.85MIN: 48.61 / MAX: 53.26MIN: 49.22 / MAX: 53.7
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7642 2PLinux 5.4 Git1020304050Min: 50.1 / Avg: 50.25 / Max: 50.35Min: 50.79 / Avg: 50.85 / Max: 50.95

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7642 2PLinux 5.4 Git1326395265SE +/- 0.15, N = 3SE +/- 0.15, N = 355.0755.98MIN: 53.07 / MAX: 58.31MIN: 54.05 / MAX: 58.73
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7642 2PLinux 5.4 Git1122334455Min: 54.77 / Avg: 55.07 / Max: 55.26Min: 55.68 / Avg: 55.98 / Max: 56.14

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7642 2PLinux 5.4 Git1122334455SE +/- 0.06, N = 3SE +/- 0.13, N = 347.5447.94MIN: 46.02 / MAX: 50.79MIN: 46.09 / MAX: 50.73
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7642 2PLinux 5.4 Git1020304050Min: 47.45 / Avg: 47.54 / Max: 47.64Min: 47.7 / Avg: 47.94 / Max: 48.12

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialEPYC 7642 2PLinux 5.4 Git612182430SE +/- 0.43, N = 3SE +/- 0.21, N = 326.0726.79
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialEPYC 7642 2PLinux 5.4 Git612182430Min: 25.21 / Avg: 26.07 / Max: 26.55Min: 26.55 / Avg: 26.79 / Max: 27.22

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: DLSCEPYC 7642 2PLinux 5.4 Git0.05850.1170.17550.2340.2925SE +/- 0.04, N = 12SE +/- 0.04, N = 120.260.25MIN: 0.1 / MAX: 0.41MIN: 0.1 / MAX: 0.44
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: DLSCEPYC 7642 2PLinux 5.4 Git12345Min: 0.1 / Avg: 0.26 / Max: 0.41Min: 0.1 / Avg: 0.25 / Max: 0.43

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: Rainbow Colors and PrismEPYC 7642 2PLinux 5.4 Git0.04730.09460.14190.18920.2365SE +/- 0.02, N = 12SE +/- 0.01, N = 120.180.21MIN: 0.1 / MAX: 0.29MIN: 0.1 / MAX: 0.26
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: Rainbow Colors and PrismEPYC 7642 2PLinux 5.4 Git12345Min: 0.1 / Avg: 0.18 / Max: 0.25Min: 0.11 / Avg: 0.21 / Max: 0.24

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific 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.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.00, N = 12SE +/- 0.00, N = 1276.9276.92MIN: 23.26 / MAX: 90.91MIN: 32.26 / MAX: 83.33
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git1530456075Min: 76.92 / Avg: 76.92 / Max: 76.92Min: 76.92 / Avg: 76.92 / Max: 76.92

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.00, N = 12SE +/- 0.00, N = 1216.3916.39MIN: 9.43 / MAX: 16.95MIN: 11.9 / MAX: 16.67
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git48121620Min: 16.39 / Avg: 16.39 / Max: 16.39Min: 16.39 / Avg: 16.39 / Max: 16.39

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git246810SE +/- 0.02, N = 3SE +/- 0.05, N = 37.016.90MIN: 4.41 / MAX: 7.09MIN: 4.24 / MAX: 7.09
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git3691215Min: 6.99 / Avg: 7.01 / Max: 7.04Min: 6.8 / Avg: 6.9 / Max: 6.99

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 1.01, N = 15101.48100.00MIN: 14.71 / MAX: 111.11MIN: 15.63 / MAX: 111.11
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git20406080100Min: 100 / Avg: 101.48 / Max: 111.11

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git246810SE +/- 0.03, N = 3SE +/- 0.03, N = 38.908.88MIN: 7.46 / MAX: 9.01MIN: 7.09 / MAX: 9.01
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git3691215Min: 8.85 / Avg: 8.9 / Max: 8.93Min: 8.85 / Avg: 8.88 / Max: 8.93

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7642 2PLinux 5.4 Git11223344555050MIN: 10.99 / MAX: 52.63MIN: 10.75 / MAX: 52.63

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git612182430SE +/- 0.00, N = 12SE +/- 0.00, N = 1224.3924.39MIN: 10.1 / MAX: 25MIN: 10.64 / MAX: 25
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git612182430Min: 24.39 / Avg: 24.39 / Max: 24.39Min: 24.39 / Avg: 24.39 / Max: 24.39

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git70140210280350SE +/- 0.00, N = 12SE +/- 0.00, N = 12333.33333.33MIN: 62.5 / MAX: 500MIN: 50 / MAX: 500
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerEPYC 7642 2PLinux 5.4 Git60120180240300Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7642 2PLinux 5.4 Git4080120160200175.60172.23

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7642 2PLinux 5.4 Git132639526559.4158.96

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 7642 2PLinux 5.4 Git70140210280350299.61302.04

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPOPEPYC 7642 2PLinux 5.4 Git500K1000K1500K2000K2500KSE +/- 2658.70, N = 3SE +/- 20622.51, N = 122145929.251265416.741. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPOPEPYC 7642 2PLinux 5.4 Git400K800K1200K1600K2000KMin: 2141327.5 / Avg: 2145929.25 / Max: 2150537.5Min: 1154734.38 / Avg: 1265416.74 / Max: 1379310.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SADDEPYC 7642 2PLinux 5.4 Git400K800K1200K1600K2000KSE +/- 22741.29, N = 15SE +/- 19738.35, N = 151678729.141666898.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SADDEPYC 7642 2PLinux 5.4 Git300K600K900K1200K1500KMin: 1555209.88 / Avg: 1678729.14 / Max: 1828153.62Min: 1569858.62 / Avg: 1666898.12 / Max: 1818181.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPUSHEPYC 7642 2PLinux 5.4 Git300K600K900K1200K1500KSE +/- 14528.15, N = 15SE +/- 19586.59, N = 151259232.881269417.131. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: LPUSHEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KMin: 1140250.88 / Avg: 1259232.88 / Max: 1335113.5Min: 1122334.5 / Avg: 1269417.13 / Max: 1351351.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETEPYC 7642 2PLinux 5.4 Git400K800K1200K1600K2000KSE +/- 34040.00, N = 3SE +/- 12889.65, N = 31978766.831785900.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETEPYC 7642 2PLinux 5.4 Git300K600K900K1200K1500KMin: 1915708.75 / Avg: 1978766.83 / Max: 2032520.25Min: 1763668.5 / Avg: 1785900.38 / Max: 1808318.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestEPYC 7642 2PLinux 5.4 Git30060090012001500SE +/- 8.16, N = 3SE +/- 4.77, N = 31217.881217.41MIN: 34.18 / MAX: 1425.21MIN: 726.49 / MAX: 1385.91. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestEPYC 7642 2PLinux 5.4 Git2004006008001000Min: 1208.81 / Avg: 1217.88 / Max: 1234.16Min: 1210.72 / Avg: 1217.41 / Max: 1226.651. (CC) gcc options: -O2 -lm -pthread -lmpi

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETEPYC 7642 2PLinux 5.4 Git300K600K900K1200K1500KSE +/- 21744.22, N = 12SE +/- 20373.34, N = 151434092.451405847.781. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KMin: 1288659.75 / Avg: 1434092.45 / Max: 1547987.5Min: 1269035.5 / Avg: 1405847.78 / Max: 1540832.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7642 2PLinux 5.4 Git50K100K150K200K250KSE +/- 3150.69, N = 3SE +/- 3050.09, N = 32475312449461. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KMin: 244222 / Avg: 247531.33 / Max: 253830Min: 240472 / Avg: 244945.67 / Max: 2507741. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7642 2PLinux 5.4 Git80M160M240M320M400MSE +/- 2904879.33, N = 3SE +/- 1347156.76, N = 33555246523679921001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7642 2PLinux 5.4 Git60M120M180M240M300MMin: 352060427 / Avg: 355524652.33 / Max: 361295865Min: 365841767 / Avg: 367992100 / Max: 3704731631. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7642 2PLinux 5.4 Git60K120K180K240K300KSE +/- 983.91, N = 3SE +/- 1876.47, N = 32672792504201. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7642 2PLinux 5.4 Git50K100K150K200K250KMin: 265766 / Avg: 267278.67 / Max: 269125Min: 246837 / Avg: 250420.33 / Max: 2531781. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KSE +/- 1172.48, N = 3SE +/- 923.11, N = 31686441782841. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7642 2PLinux 5.4 Git30K60K90K120K150KMin: 166664 / Avg: 168643.67 / Max: 170722Min: 176743 / Avg: 178283.67 / Max: 1799351. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7642 2PLinux 5.4 Git2M4M6M8M10MSE +/- 172564.92, N = 15SE +/- 176907.51, N = 159821726100977611. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7642 2PLinux 5.4 Git2M4M6M8M10MMin: 8367846 / Avg: 9821725.93 / Max: 10684514Min: 8981986 / Avg: 10097760.53 / Max: 116472981. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.07, N = 3SE +/- 0.14, N = 378.1577.711. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7642 2PLinux 5.4 Git1530456075Min: 78.02 / Avg: 78.15 / Max: 78.25Min: 77.49 / Avg: 77.71 / Max: 77.981. (CC) gcc options: -O2 -ldl -lz -lpthread

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsEPYC 7642 2PLinux 5.4 Git2K4K6K8K10KSE +/- 6774.17, N = 8SE +/- 15.93, N = 98249217
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsEPYC 7642 2PLinux 5.4 Git14002800420056007000Min: 523 / Avg: 8249.25 / Max: 55567Min: 181 / Avg: 217 / Max: 317

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7642 2PLinux 5.4 Git40K80K120K160K200KSE +/- 2802.82, N = 3SE +/- 3072.70, N = 3184260185659
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7642 2PLinux 5.4 Git30K60K90K120K150KMin: 180254 / Avg: 184260.33 / Max: 189659Min: 182561 / Avg: 185658.67 / Max: 191804

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:1EPYC 7642 2PLinux 5.4 Git2004006008001000SE +/- 34.54, N = 12SE +/- 31.41, N = 9896422
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:1EPYC 7642 2PLinux 5.4 Git160320480640800Min: 630 / Avg: 896.08 / Max: 1070Min: 249 / Avg: 422.22 / Max: 531

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:3EPYC 7642 2PLinux 5.4 Git100200300400500SE +/- 34.08, N = 9SE +/- 16.75, N = 9450271
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:3EPYC 7642 2PLinux 5.4 Git80160240320400Min: 231 / Avg: 449.56 / Max: 558Min: 178 / Avg: 270.56 / Max: 318

PostgreSQL pgbench

This is a simple benchmark of PostgreSQL using pgbench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read OnlyEPYC 7642 2PLinux 5.4 Git200K400K600K800K1000KSE +/- 571.53, N = 3SE +/- 3831.25, N = 3901340.22913157.661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read OnlyEPYC 7642 2PLinux 5.4 Git160K320K480K640K800KMin: 900722.15 / Avg: 901340.22 / Max: 902481.99Min: 906656.07 / Avg: 913157.66 / Max: 919920.211. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read WriteEPYC 7642 2PLinux 5.4 Git4K8K12K16K20KSE +/- 701.38, N = 9SE +/- 831.65, N = 917610.4318259.701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read WriteEPYC 7642 2PLinux 5.4 Git3K6K9K12K15KMin: 15535.38 / Avg: 17610.43 / Max: 22327.18Min: 16399.95 / Avg: 18259.7 / Max: 23593.161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Single Thread - Mode: Read OnlyEPYC 7642 2PLinux 5.4 Git4K8K12K16K20KSE +/- 126.56, N = 3SE +/- 279.11, N = 920533.9020674.991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Single Thread - Mode: Read OnlyEPYC 7642 2PLinux 5.4 Git4K8K12K16K20KMin: 20305.25 / Avg: 20533.9 / Max: 20742.25Min: 19665.7 / Avg: 20674.99 / Max: 21932.821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Single Thread - Mode: Read WriteEPYC 7642 2PLinux 5.4 Git5001000150020002500SE +/- 46.47, N = 9SE +/- 10.42, N = 32288.462154.451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Single Thread - Mode: Read WriteEPYC 7642 2PLinux 5.4 Git400800120016002000Min: 2114.21 / Avg: 2288.46 / Max: 2500.4Min: 2133.8 / Avg: 2154.45 / Max: 2167.21. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

Optcarrot

Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkEPYC 7642 2PLinux 5.4 Git20406080100SE +/- 0.75, N = 4SE +/- 0.30, N = 479.5180.361. ruby 2.5.5p157 (2019-03-15 revision 67260) [x86_64-linux-gnu]
OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkEPYC 7642 2PLinux 5.4 Git1530456075Min: 77.44 / Avg: 79.51 / Max: 80.81Min: 79.66 / Avg: 80.36 / Max: 81.021. ruby 2.5.5p157 (2019-03-15 revision 67260) [x86_64-linux-gnu]

Sudokut

This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total TimeEPYC 7642 2PLinux 5.4 Git48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 316.7016.68
OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total TimeEPYC 7642 2PLinux 5.4 Git48121620Min: 16.69 / Avg: 16.7 / Max: 16.7Min: 16.67 / Avg: 16.68 / Max: 16.7

130 Results Shown

TSCP
ctx_clock
Stress-NG:
  Crypto
  Bsearch
  Forking
  Hsearch
  Lsearch
  Tsearch
  CPU Stress
  Semaphores
  Matrix Math
MKL-DNN DNNL
Stress-NG:
  Vector Math
  Memory Copying
  Context Switching
MKL-DNN DNNL
Stress-NG
MKL-DNN DNNL:
  Convolution Batch conv_3d - f32
  IP Batch All - f32
  Deconvolution Batch deconv_all - f32
Stress-NG:
  Glibc Qsort Data Sorting
  System V Message Passing
glibc bench:
  cos
  exp
MKL-DNN DNNL:
  Recurrent Neural Network Training - f32
  Convolution Batch conv_googlenet_v3 - f32
  IP Batch 1D - f32
  Convolution Batch conv_alexnet - f32
glibc bench:
  ffs
  sin
  log2
MKL-DNN DNNL
glibc bench:
  modf
  sinh
  sqrt
  tanh
  asinh
  atanh
  ffsll
  sincos
  pthread_once
LAME MP3 Encoding
Timed MrBayes Analysis
NAS Parallel Benchmarks:
  BT.C
  EP.C
  EP.D
  FT.C
  LU.C
  MG.C
  SP.B
NAMD
ACES DGEMM
Pennant:
  sedovbig
  leblancbig
Coremark
N-Queens
Timed LLVM Compilation
Timed GCC Compilation
Timed Linux Kernel Compilation
libgav1:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
Tungsten Renderer
IOR
Stress-NG
Tungsten Renderer:
  Water Caustic
  Non-Exponential
  Volumetric Caustic
VP9 libvpx Encoding
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
x264
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
x265
C-Ray
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
Intel Open Image Denoise
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
OSPray:
  San Miguel - SciVis
  XFrog Forest - SciVis
  San Miguel - Path Tracer
  NASA Streamlines - SciVis
  XFrog Forest - Path Tracer
  Magnetic Reconnection - SciVis
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - Path Tracer
Appleseed:
  Emily
  Disney Material
  Material Tester
Redis:
  LPOP
  SADD
  LPUSH
  GET
IOR
Redis
Facebook RocksDB:
  Rand Fill
  Rand Read
  Seq Fill
  Rand Fill Sync
  Read While Writing
SQLite Speedtest
Apache Cassandra:
  Reads
  Writes
  Mixed 1:1
  Mixed 1:3
PostgreSQL pgbench:
  Buffer Test - Normal Load - Read Only
  Buffer Test - Normal Load - Read Write
  Buffer Test - Single Thread - Read Only
  Buffer Test - Single Thread - Read Write
Optcarrot
Sudokut

EPYC 7642 2P

Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Network: 2 x Mellanox MT27710

OS: Ubuntu 19.10, Kernel: 5.3.0-18-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Java Notes: OpenJDK Runtime Environment (build 11.0.5-ea+9-post-Ubuntu-1ubuntu1)
Python Notes: Python 2.7.17rc1 + Python 3.7.5rc1
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

Testing initiated at 17 October 2019 08:50 by user phoronix.

Linux 5.4 Git

Processor: 2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads), Motherboard: AMD DAYTONA_X (RDY1001C BIOS), Chipset: AMD Starship/Matisse, Memory: 516096MB, Disk: 280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191017, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Java Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 2.7.17rc1 + Python 3.7.5rc1
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

Testing initiated at 18 October 2019 07:09 by user phoronix.