EPYC Genoa Linux Distros

2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1002E BIOS) and ASPEED on Ubuntu 22.10 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 2212268-NE-EPYCGENOA71
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Ubuntu 22.10
December 24 2022
  19 Hours, 14 Minutes
Ubuntu 22.10 - perf governor
December 25 2022
  18 Hours, 59 Minutes
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EPYC Genoa Linux DistrosOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads)AMD Titanite_4G (RTI1002E BIOS)AMD Device 14a41520GB800GB INTEL SSDPF21Q800GBASPEEDVGA HDMIBroadcom NetXtreme BCM5720 PCIeUbuntu 22.105.19.0-26-generic (x86_64)GNOME Shell 43.0X Server 1.21.1.41.3.224GCC 12.2.0 + Clang 15.0.2-1ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC Genoa Linux Distros PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 - Ubuntu 22.10: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa10110d - Ubuntu 22.10 - perf governor: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d - OpenJDK Runtime Environment (build 11.0.17+8-post-Ubuntu-1ubuntu2)- Python 3.10.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ubuntu 22.10 vs. Ubuntu 22.10 - perf governor ComparisonPhoronix Test SuiteBaseline+19.2%+19.2%+38.4%+38.4%+57.6%+57.6%+76.8%+76.8%76.9%69.1%65%63.6%59.6%55.8%55.5%55.2%54.9%54.4%53.8%52.4%46.5%45%41.7%40.7%38%35.3%32.7%31%30.2%29.4%28.7%26.8%26.6%25.4%24.1%22.7%21.6%20.4%19.6%19.2%18.4%18.3%16.1%15%13.8%13.7%13.1%12.9%11.7%11.2%10.8%10.6%10.3%8.1%8.1%7.2%7%6.6%6%5.6%5.3%4.9%4.7%4%3.6%3.6%3.3%3%3%2.5%2.4%2.4%2.4%2.3%2.1%2.1%2%G.A.U.J.F8, Long Mode - Compression SpeedTradebeansA.G.R.R.0.F - CPUPreset 13 - Bosphorus 4KH2MoVR - 512MoVR - 128MoVR - 1024Apache Spark Bayes10000000 - 100 - I.J.T.Tpython_startup10000000 - 100 - S.5.B.T10000000 - 500 - S.5.B.TPreset 12 - Bosphorus 4KPreset 8 - Bosphorus 4K100 - 250 - Read WriteI.M.D.S10000000 - 100 - R.T.T100 - 250 - Read Write - Average LatencyKV, 10% Reads - 12810000000 - 100 - B.I.J.T.T10000000 - 100 - Group By Test Time256particle_volume/pathtracer/real_timeKV, 60% Reads - 128KV, 60% Reads - 512KV, 50% Reads - 128Rand ForestA.G.R.R.0.F.I - CPU100 - 500 - Read Write - Average Latency100 - 500 - Read WriteKV, 50% Reads - 512KV, 10% Reads - 512KV, 10% Reads - 1024R.N.N.I - u8s8f32 - CPUKV, 95% Reads - 128KV, 95% Reads - 1024R.N.N.I - bf16bf16bf16 - CPU10000000 - 500 - C.P.B.U.DCompression RatingA.U.C.TKV, 50% Reads - 1024Writes10000000 - 100 - C.P.B.U.D19 - Compression SpeedApache Spark ALSJythonR.N.N.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUALS Movie Lens8 - Compression SpeedA.S.PRT.hdr_alb_nrm.3840x2160vklBenchmark ISPCF.H.R2to3D.RScala DottyKV, 60% Reads - 1024100 - 500 - Read Only - Average Latency2.6%100 - 500 - Read Only2.5%Time To CompileRTLightmap.hdr.4096x4096Relative EntropyKV, 95% Reads - 512C240 BuckyballA.G.R.R.0.F - CPU2.3%10000000 - 500 - C.P.BTime To CompileA.G.R.R.0.F.I - CPURenaissanceZstd CompressionDaCapo BenchmarkOpenVINOSVT-AV1DaCapo BenchmarkCockroachDBCockroachDBCockroachDBRenaissanceApache SparkPyPerformanceApache SparkApache SparkSVT-AV1SVT-AV1PostgreSQLRenaissanceApache SparkPostgreSQLCockroachDBApache SparkApache SparkMariaDBOSPRayCockroachDBCockroachDBCockroachDBRenaissanceOpenVINOPostgreSQLPostgreSQLCockroachDBCockroachDBCockroachDBoneDNNCockroachDBCockroachDBoneDNNApache SparkWireGuard + Linux Networking Stack Stress Test7-Zip CompressionRenaissanceCockroachDBApache CassandraApache SparkZstd CompressionRenaissanceDaCapo BenchmarkoneDNNoneDNNRenaissanceZstd CompressionRenaissanceIntel Open Image DenoiseOpenVKLRenaissancePyPerformance7-Zip CompressionRenaissanceCockroachDBPostgreSQLPostgreSQLTimed Node.js CompilationIntel Open Image DenoiseNumenta Anomaly BenchmarkCockroachDBNWChemOpenVINOApache SparkTimed Gem5 CompilationOpenVINOUbuntu 22.10Ubuntu 22.10 - perf governor

EPYC Genoa Linux Distroswireguard: namd: ATPase Simulation - 327,506 Atomsnwchem: C240 Buckyballdacapobench: H2dacapobench: Jythondacapobench: Tradebeansrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futurescompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Koidn: RT.hdr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmark ISPCospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenssl: openssl: spark: 10000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Group By Test Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframecockroach: MoVR - 128cockroach: MoVR - 512cockroach: MoVR - 1024cockroach: KV, 10% Reads - 128cockroach: KV, 10% Reads - 512cockroach: KV, 50% Reads - 128cockroach: KV, 50% Reads - 512cockroach: KV, 60% Reads - 128cockroach: KV, 60% Reads - 512cockroach: KV, 95% Reads - 128cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 95% Reads - 1024gromacs: MPI CPU - water_GMX50_baremysqlslap: 256pgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average Latencygpaw: Carbon Nanotubeblender: Classroom - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcassandra: Writespybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: KNN CADnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointnumenta-nab: Contextual Anomaly Detector OSEphpbench: PHP Benchmark SuiteUbuntu 22.10Ubuntu 22.10 - perf governor387.5390.128701554.9717635056695692.9770.021335.14692.5790.73265.412720.96819.232544.92878.04220.74181.986.53468.8676.74460.839.73527.9182.3976211.749866.256182.030164.0003.441.65128542.808542.7125174.31643.855943.090653.92557870851137175140.41525.557144.342100.0602187.432819.872216.452711.9744112.22918571.614.869.294.1313.858.0714.247.3016.179.214.21610.8610.6611.725586.530362.337011.339856.840495.943058.356347.260113.431192.442428.045989.756954.618.57632829060350.08632526970.1541402918.4161124544.82823.21521.13101.66471.1737.611266.3037.751262.757384.356.49191.17250.5910984.864.369845.214.86963.3549.7719163.479.969052.635.29149753.690.90119916.921.1823446786218226276.783.711315.335916.887.411710.736.333082.13810.0554.85066.78616.62638.421852283347.0240.128731519.2460732764057672.4633.020209.04377.2512.13114.312279.85041.229367.31626.64443.84170.493.53475.01144.24523.640.13549.0182.2662213.915793.252257.963261.7883.601.69133742.849042.7806220.69144.175943.092854.14778748981175260137.59225.165145.10297.6492052.392452.352091.752398.8644502.72938439.510.149.183.8210.766.089.265.6411.159.023.73948.0949.5947.533324.135924.645420.247183.050763.353436.064140.361535.236217.146917.747350.564779.118.75641628821250.08731731320.1581936114.0581340037.48223.23020.99101.93470.0037.931256.7637.921256.837400.006.47191.05250.7211010.454.359859.394.85958.1450.0319201.939.939031.685.31146388.060.55122351.790.9825856586118325376.884.211215.436116.888.31177.0236.233083.6089.8184.77966.06116.54538.078859554OpenBenchmarking.org

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestUbuntu 22.10Ubuntu 22.10 - perf governor80160240320400SE +/- 2.72, N = 3SE +/- 3.80, N = 4387.54347.02

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 2.14ATPase Simulation - 327,506 AtomsUbuntu 22.10Ubuntu 22.10 - perf governor0.0290.0580.0870.1160.145SE +/- 0.00010, N = 3SE +/- 0.00056, N = 30.128700.12873

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballUbuntu 22.10Ubuntu 22.10 - perf governor300600900120015001554.91519.21. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ubuntu 22.10Ubuntu 22.10 - perf governor15003000450060007500SE +/- 88.67, N = 4SE +/- 95.68, N = 1671764607

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonUbuntu 22.10Ubuntu 22.10 - perf governor8001600240032004000SE +/- 9.21, N = 4SE +/- 23.29, N = 435053276

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansUbuntu 22.10Ubuntu 22.10 - perf governor14002800420056007000SE +/- 80.92, N = 20SE +/- 69.76, N = 2066954057

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyUbuntu 22.10Ubuntu 22.10 - perf governor150300450600750SE +/- 12.66, N = 12SE +/- 9.64, N = 15692.9672.4MIN: 552.39 / MAX: 1130.25MIN: 533.51 / MAX: 1001.08

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestUbuntu 22.10Ubuntu 22.10 - perf governor170340510680850SE +/- 9.21, N = 3SE +/- 2.99, N = 3770.0633.0MIN: 616.18 / MAX: 1004MIN: 556.06 / MAX: 804.33

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensUbuntu 22.10Ubuntu 22.10 - perf governor5K10K15K20K25KSE +/- 192.60, N = 9SE +/- 279.89, N = 321335.120209.0MIN: 18879.72 / MAX: 25695.67MIN: 19500.01 / MAX: 24557.67

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSUbuntu 22.10Ubuntu 22.10 - perf governor10002000300040005000SE +/- 59.28, N = 3SE +/- 86.27, N = 94692.54377.2MIN: 4127.65 / MAX: 5167.1MIN: 3244.25 / MAX: 5257.88

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesUbuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 7.05, N = 3SE +/- 6.18, N = 4790.7512.1MIN: 421.92 / MAX: 1358.68MIN: 286.68 / MAX: 1271.97

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankUbuntu 22.10Ubuntu 22.10 - perf governor7001400210028003500SE +/- 28.02, N = 15SE +/- 41.70, N = 153265.43114.3MIN: 2655.41 / MAX: 3881.15MIN: 2419.98 / MAX: 3598.87

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsUbuntu 22.10Ubuntu 22.10 - perf governor3K6K9K12K15KSE +/- 50.48, N = 3SE +/- 30.45, N = 312720.912279.8MIN: 11580.19 / MAX: 12819.18MIN: 11289.79 / MAX: 12493.84

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: In-Memory Database ShootoutUbuntu 22.10Ubuntu 22.10 - perf governor15003000450060007500SE +/- 49.85, N = 12SE +/- 45.88, N = 36819.25041.2MIN: 6195.68 / MAX: 9376.89MIN: 4538.9 / MAX: 6543.74

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed TreeUbuntu 22.10Ubuntu 22.10 - perf governor7K14K21K28K35KSE +/- 188.80, N = 3SE +/- 317.43, N = 932544.929367.3MIN: 24552.33 / MAX: 32901.57MIN: 18263.23 / MAX: 30267.41

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesUbuntu 22.10Ubuntu 22.10 - perf governor6001200180024003000SE +/- 9.65, N = 3SE +/- 17.78, N = 52878.01626.6MIN: 2703.32 / MAX: 2993.07MIN: 1501.7 / MAX: 1831.72

Zstd Compression

This test measures the time needed to compress/decompress a sample input file using Zstd compression supplied by the system or otherwise externally of the test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 8 - Compression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor10002000300040005000SE +/- 35.39, N = 3SE +/- 10.58, N = 34220.74443.81. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 8 - Decompression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor9001800270036004500SE +/- 2.85, N = 3SE +/- 4.06, N = 34181.94170.41. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19 - Compression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 1.84, N = 12SE +/- 0.96, N = 586.593.51. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19 - Decompression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor7001400210028003500SE +/- 11.07, N = 12SE +/- 17.84, N = 53468.83475.01. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 8, Long Mode - Compression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 2.43, N = 3SE +/- 1.52, N = 3676.71144.21. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 8, Long Mode - Decompression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor10002000300040005000SE +/- 6.47, N = 3SE +/- 58.12, N = 34460.84523.61. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19, Long Mode - Compression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor918273645SE +/- 0.28, N = 15SE +/- 0.55, N = 1539.740.11. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19, Long Mode - Decompression SpeedUbuntu 22.10Ubuntu 22.10 - perf governor8001600240032004000SE +/- 13.38, N = 15SE +/- 13.95, N = 153527.93549.01. *** zstd command line interface 64-bits v1.5.2, by Yann Collet ***

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownUbuntu 22.10Ubuntu 22.10 - perf governor4080120160200SE +/- 0.45, N = 3SE +/- 0.70, N = 3182.40182.27MIN: 131.93 / MAX: 211.14MIN: 131.2 / MAX: 210.44

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonUbuntu 22.10Ubuntu 22.10 - perf governor50100150200250SE +/- 0.38, N = 3SE +/- 0.23, N = 3211.75213.92MIN: 206.83 / MAX: 224.62MIN: 209.29 / MAX: 225.68

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.18, N = 3SE +/- 0.99, N = 566.2693.25

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KUbuntu 22.10Ubuntu 22.10 - perf governor60120180240300SE +/- 1.31, N = 15SE +/- 5.92, N = 15182.03257.96

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KUbuntu 22.10Ubuntu 22.10 - perf governor60120180240300SE +/- 1.98, N = 4SE +/- 2.80, N = 15164.00261.79

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 1.4.0Run: RT.hdr_alb_nrm.3840x2160Ubuntu 22.10Ubuntu 22.10 - perf governor0.811.622.433.244.05SE +/- 0.04, N = 3SE +/- 0.01, N = 33.443.60

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096Ubuntu 22.10Ubuntu 22.10 - perf governor0.38030.76061.14091.52121.9015SE +/- 0.00, N = 3SE +/- 0.00, N = 31.651.69

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCUbuntu 22.10Ubuntu 22.10 - perf governor30060090012001500SE +/- 2.52, N = 3SE +/- 7.54, N = 312851337MIN: 328 / MAX: 3941MIN: 328 / MAX: 5125

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity 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.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor1020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 342.8142.85

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor1020304050SE +/- 0.02, N = 3SE +/- 0.06, N = 342.7142.78

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor50100150200250SE +/- 1.42, N = 3SE +/- 2.22, N = 3174.32220.69

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor1020304050SE +/- 0.03, N = 3SE +/- 0.13, N = 343.8644.18

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor1020304050SE +/- 0.14, N = 3SE +/- 0.02, N = 343.0943.09

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeUbuntu 22.10Ubuntu 22.10 - perf governor1224364860SE +/- 0.03, N = 3SE +/- 0.09, N = 353.9354.15

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingUbuntu 22.10Ubuntu 22.10 - perf governor200K400K600K800K1000KSE +/- 3348.48, N = 3SE +/- 7662.82, N = 37870858748981. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingUbuntu 22.10Ubuntu 22.10 - perf governor300K600K900K1200K1500KSE +/- 26469.97, N = 3SE +/- 9657.43, N = 3113717511752601. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileUbuntu 22.10Ubuntu 22.10 - perf governor306090120150SE +/- 0.71, N = 3SE +/- 1.66, N = 3140.42137.59

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigUbuntu 22.10Ubuntu 22.10 - perf governor612182430SE +/- 0.16, N = 15SE +/- 0.25, N = 625.5625.17

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigUbuntu 22.10Ubuntu 22.10 - perf governor306090120150SE +/- 0.34, N = 3SE +/- 0.49, N = 3144.34145.10

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.35, N = 3SE +/- 0.61, N = 3100.0697.65

oneDNN

This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUUbuntu 22.10Ubuntu 22.10 - perf governor5001000150020002500SE +/- 36.42, N = 15SE +/- 23.04, N = 152187.432052.39MIN: 1887.97MIN: 1870.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUUbuntu 22.10Ubuntu 22.10 - perf governor6001200180024003000SE +/- 37.19, N = 3SE +/- 30.06, N = 32819.872452.35MIN: 2632.58MIN: 2378.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 22.10Ubuntu 22.10 - perf governor5001000150020002500SE +/- 37.53, N = 12SE +/- 15.28, N = 32216.452091.75MIN: 1956.5MIN: 2039.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 22.10Ubuntu 22.10 - perf governor6001200180024003000SE +/- 30.01, N = 15SE +/- 31.14, N = 152711.972398.86MIN: 2500.56MIN: 2143.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLUbuntu 22.10Ubuntu 22.10 - perf governor10K20K30K40K50KSE +/- 212.14, N = 3SE +/- 26.83, N = 344112.244502.71. OpenSSL 3.0.5 5 Jul 2022 (Library: OpenSSL 3.0.5 5 Jul 2022)

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLUbuntu 22.10Ubuntu 22.10 - perf governor600K1200K1800K2400K3000KSE +/- 14395.43, N = 3SE +/- 457.92, N = 32918571.62938439.51. OpenSSL 3.0.5 5 Jul 2022 (Library: OpenSSL 3.0.5 5 Jul 2022)

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.09, N = 3SE +/- 0.08, N = 1514.8610.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkUbuntu 22.10Ubuntu 22.10 - perf governor3691215SE +/- 0.21, N = 3SE +/- 0.06, N = 159.299.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeUbuntu 22.10Ubuntu 22.10 - perf governor0.92931.85862.78793.71724.6465SE +/- 0.17, N = 3SE +/- 0.17, N = 154.133.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.33, N = 3SE +/- 0.15, N = 1213.8510.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeUbuntu 22.10Ubuntu 22.10 - perf governor246810SE +/- 0.32, N = 3SE +/- 0.13, N = 128.076.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.90, N = 3SE +/- 0.14, N = 1214.249.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeUbuntu 22.10Ubuntu 22.10 - perf governor246810SE +/- 0.40, N = 3SE +/- 0.18, N = 127.305.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.14, N = 15SE +/- 0.12, N = 1516.1711.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkUbuntu 22.10Ubuntu 22.10 - perf governor3691215SE +/- 0.06, N = 15SE +/- 0.08, N = 159.219.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeUbuntu 22.10Ubuntu 22.10 - perf governor0.94731.89462.84193.78924.7365SE +/- 0.10, N = 15SE +/- 0.16, N = 154.213.73

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128Ubuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 2.40, N = 3SE +/- 3.08, N = 3610.8948.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512Ubuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 0.90, N = 3SE +/- 2.73, N = 3610.6949.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024Ubuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 1.15, N = 3SE +/- 4.44, N = 3611.7947.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128Ubuntu 22.10Ubuntu 22.10 - perf governor7K14K21K28K35KSE +/- 322.46, N = 15SE +/- 338.33, N = 1525586.533324.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512Ubuntu 22.10Ubuntu 22.10 - perf governor8K16K24K32K40KSE +/- 323.23, N = 4SE +/- 366.30, N = 630362.335924.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Ubuntu 22.10Ubuntu 22.10 - perf governor10K20K30K40K50KSE +/- 356.72, N = 15SE +/- 416.43, N = 1537011.345420.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512Ubuntu 22.10Ubuntu 22.10 - perf governor10K20K30K40K50KSE +/- 263.98, N = 15SE +/- 419.75, N = 1539856.847183.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128Ubuntu 22.10Ubuntu 22.10 - perf governor11K22K33K44K55KSE +/- 512.79, N = 3SE +/- 506.75, N = 540495.950763.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512Ubuntu 22.10Ubuntu 22.10 - perf governor11K22K33K44K55KSE +/- 340.08, N = 15SE +/- 242.19, N = 343058.353436.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128Ubuntu 22.10Ubuntu 22.10 - perf governor14K28K42K56K70KSE +/- 200.15, N = 3SE +/- 281.22, N = 356347.264140.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512Ubuntu 22.10Ubuntu 22.10 - perf governor13K26K39K52K65KSE +/- 436.18, N = 3SE +/- 1167.40, N = 1560113.461535.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024Ubuntu 22.10Ubuntu 22.10 - perf governor8K16K24K32K40KSE +/- 241.56, N = 3SE +/- 352.51, N = 631192.436217.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024Ubuntu 22.10Ubuntu 22.10 - perf governor10K20K30K40K50KSE +/- 505.70, N = 4SE +/- 385.41, N = 1542428.046917.7

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024Ubuntu 22.10Ubuntu 22.10 - perf governor10K20K30K40K50KSE +/- 419.66, N = 15SE +/- 675.35, N = 345989.747350.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024Ubuntu 22.10Ubuntu 22.10 - perf governor14K28K42K56K70KSE +/- 1556.62, N = 15SE +/- 652.77, N = 356954.664779.1

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareUbuntu 22.10Ubuntu 22.10 - perf governor510152025SE +/- 0.14, N = 12SE +/- 0.02, N = 318.5818.761. (CXX) g++ options: -O3

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 256Ubuntu 22.10Ubuntu 22.10 - perf governor90180270360450SE +/- 6.00, N = 8SE +/- 4.92, N = 43284161. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyUbuntu 22.10Ubuntu 22.10 - perf governor600K1200K1800K2400K3000KSE +/- 7713.61, N = 3SE +/- 9286.34, N = 3290603528821251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyUbuntu 22.10Ubuntu 22.10 - perf governor0.01960.03920.05880.07840.098SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0860.0871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyUbuntu 22.10Ubuntu 22.10 - perf governor700K1400K2100K2800K3500KSE +/- 23929.05, N = 3SE +/- 45342.54, N = 3325269731731321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyUbuntu 22.10Ubuntu 22.10 - perf governor0.03560.07120.10680.14240.178SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1540.1581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read WriteUbuntu 22.10Ubuntu 22.10 - perf governor4K8K12K16K20KSE +/- 903.13, N = 12SE +/- 2177.61, N = 1214029193611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyUbuntu 22.10Ubuntu 22.10 - perf governor510152025SE +/- 0.87, N = 12SE +/- 0.98, N = 1218.4214.061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read WriteUbuntu 22.10Ubuntu 22.10 - perf governor3K6K9K12K15KSE +/- 309.57, N = 12SE +/- 276.48, N = 1211245134001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyUbuntu 22.10Ubuntu 22.10 - perf governor1020304050SE +/- 1.20, N = 12SE +/- 0.74, N = 1244.8337.481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeUbuntu 22.10Ubuntu 22.10 - perf governor612182430SE +/- 0.13, N = 3SE +/- 0.29, N = 323.2223.231. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyUbuntu 22.10Ubuntu 22.10 - perf governor510152025SE +/- 0.07, N = 3SE +/- 0.05, N = 321.1320.99

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.04, N = 3SE +/- 0.06, N = 3101.66101.931. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor100200300400500SE +/- 0.22, N = 3SE +/- 0.21, N = 3471.17470.00MIN: 409.16 / MAX: 595.01MIN: 429.2 / MAX: 549.171. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor918273645SE +/- 0.11, N = 3SE +/- 0.16, N = 337.6137.931. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor30060090012001500SE +/- 3.25, N = 3SE +/- 4.90, N = 31266.301256.76MIN: 829.67 / MAX: 2001.08MIN: 787.21 / MAX: 2006.511. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor918273645SE +/- 0.14, N = 3SE +/- 0.04, N = 337.7537.921. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor30060090012001500SE +/- 5.19, N = 3SE +/- 1.02, N = 31262.751256.83MIN: 872.27 / MAX: 1983.4MIN: 849.6 / MAX: 1940.531. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor16003200480064008000SE +/- 1.41, N = 3SE +/- 6.57, N = 37384.357400.001. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor246810SE +/- 0.00, N = 3SE +/- 0.01, N = 36.496.47MIN: 5.26 / MAX: 80.04MIN: 4.94 / MAX: 66.161. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor4080120160200SE +/- 0.06, N = 3SE +/- 0.48, N = 3191.17191.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor50100150200250SE +/- 0.10, N = 3SE +/- 0.58, N = 3250.59250.72MIN: 210.49 / MAX: 338.49MIN: 207.51 / MAX: 302.561. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor2K4K6K8K10KSE +/- 1.10, N = 3SE +/- 0.77, N = 310984.8611010.451. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor0.9811.9622.9433.9244.905SE +/- 0.00, N = 3SE +/- 0.00, N = 34.364.35MIN: 3.56 / MAX: 52.94MIN: 3.51 / MAX: 45.721. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor2K4K6K8K10KSE +/- 1.37, N = 3SE +/- 1.31, N = 39845.219859.391. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor1.09352.1873.28054.3745.4675SE +/- 0.00, N = 3SE +/- 0.00, N = 34.864.85MIN: 4.06 / MAX: 35.72MIN: 3.98 / MAX: 28.381. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 2.06, N = 3SE +/- 2.60, N = 3963.35958.141. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor1122334455SE +/- 0.11, N = 3SE +/- 0.14, N = 349.7750.03MIN: 37.14 / MAX: 245.66MIN: 37.47 / MAX: 276.721. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor4K8K12K16K20KSE +/- 4.32, N = 3SE +/- 5.00, N = 319163.4719201.931. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.969.93MIN: 7.95 / MAX: 38.29MIN: 8.62 / MAX: 43.521. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor2K4K6K8K10KSE +/- 5.92, N = 3SE +/- 3.07, N = 39052.639031.681. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor1.19482.38963.58444.77925.974SE +/- 0.00, N = 3SE +/- 0.00, N = 35.295.31MIN: 4.85 / MAX: 52.21MIN: 4.27 / MAX: 42.551. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor30K60K90K120K150KSE +/- 2082.25, N = 3SE +/- 964.99, N = 3149753.69146388.061. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor0.20250.4050.60750.811.0125SE +/- 0.01, N = 3SE +/- 0.00, N = 30.900.55MIN: 0.5 / MAX: 45.32MIN: 0.5 / MAX: 36.321. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor30K60K90K120K150KSE +/- 1146.60, N = 3SE +/- 268.69, N = 3119916.92122351.791. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUUbuntu 22.10Ubuntu 22.10 - perf governor0.26550.5310.79651.0621.3275SE +/- 0.01, N = 3SE +/- 0.00, N = 31.180.98MIN: 0.85 / MAX: 40.59MIN: 0.86 / MAX: 38.391. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

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 4.0Test: WritesUbuntu 22.10Ubuntu 22.10 - perf governor60K120K180K240K300KSE +/- 2145.84, N = 3SE +/- 965.17, N = 3234467258565

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesUbuntu 22.10Ubuntu 22.10 - perf governor2004006008001000SE +/- 6.66, N = 3SE +/- 4.33, N = 3862861

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goUbuntu 22.10Ubuntu 22.10 - perf governor4080120160200SE +/- 0.00, N = 3SE +/- 0.00, N = 3182183

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Ubuntu 22.10Ubuntu 22.10 - perf governor60120180240300SE +/- 0.33, N = 3SE +/- 0.00, N = 3262253

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.12, N = 3SE +/- 0.03, N = 376.776.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.36, N = 3SE +/- 0.12, N = 383.784.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 22.10Ubuntu 22.10 - perf governor306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3113112

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 315.315.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceUbuntu 22.10Ubuntu 22.10 - perf governor80160240320400SE +/- 0.00, N = 3SE +/- 0.33, N = 3359361

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 316.816.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.20, N = 3SE +/- 0.17, N = 387.488.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileUbuntu 22.10Ubuntu 22.10 - perf governor306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3117117

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupUbuntu 22.10Ubuntu 22.10 - perf governor3691215SE +/- 0.03, N = 3SE +/- 0.00, N = 310.707.02

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateUbuntu 22.10Ubuntu 22.10 - perf governor816243240SE +/- 0.03, N = 3SE +/- 0.00, N = 336.336.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 22.10Ubuntu 22.10 - perf governor70140210280350SE +/- 0.00, N = 3SE +/- 0.33, N = 3330330

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADUbuntu 22.10Ubuntu 22.10 - perf governor20406080100SE +/- 0.69, N = 3SE +/- 1.04, N = 482.1483.61

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyUbuntu 22.10Ubuntu 22.10 - perf governor3691215SE +/- 0.118, N = 3SE +/- 0.091, N = 310.0559.818

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianUbuntu 22.10Ubuntu 22.10 - perf governor1.09132.18263.27394.36525.4565SE +/- 0.061, N = 3SE +/- 0.038, N = 34.8504.779

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineUbuntu 22.10Ubuntu 22.10 - perf governor1530456075SE +/- 0.59, N = 3SE +/- 0.41, N = 366.7966.06

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointUbuntu 22.10Ubuntu 22.10 - perf governor48121620SE +/- 0.09, N = 3SE +/- 0.11, N = 316.6316.55

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEUbuntu 22.10Ubuntu 22.10 - perf governor918273645SE +/- 0.06, N = 3SE +/- 0.23, N = 338.4238.08

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 22.10Ubuntu 22.10 - perf governor200K400K600K800K1000KSE +/- 3164.42, N = 3SE +/- 10109.62, N = 3852283859554

133 Results Shown

WireGuard + Linux Networking Stack Stress Test
NAMD
NWChem
DaCapo Benchmark:
  H2
  Jython
  Tradebeans
Renaissance:
  Scala Dotty
  Rand Forest
  ALS Movie Lens
  Apache Spark ALS
  Apache Spark Bayes
  Apache Spark PageRank
  Finagle HTTP Requests
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
Zstd Compression:
  8 - Compression Speed
  8 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
OpenVKL
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Gem5 Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Node.js Compilation
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
OpenSSL:
 
 
Apache Spark:
  10000000 - 100 - SHA-512 Benchmark Time
  10000000 - 100 - Calculate Pi Benchmark
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Group By Test Time
  10000000 - 100 - Repartition Test Time
  10000000 - 100 - Inner Join Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 500 - SHA-512 Benchmark Time
  10000000 - 500 - Calculate Pi Benchmark
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
CockroachDB:
  MoVR - 128
  MoVR - 512
  MoVR - 1024
  KV, 10% Reads - 128
  KV, 10% Reads - 512
  KV, 50% Reads - 128
  KV, 50% Reads - 512
  KV, 60% Reads - 128
  KV, 60% Reads - 512
  KV, 95% Reads - 128
  KV, 95% Reads - 512
  KV, 10% Reads - 1024
  KV, 50% Reads - 1024
  KV, 60% Reads - 1024
  KV, 95% Reads - 1024
GROMACS
MariaDB
PostgreSQL:
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 500 - Read Only - Average Latency
  100 - 250 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 500 - Read Write
  100 - 500 - Read Write - Average Latency
GPAW
Blender
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Apache Cassandra
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Numenta Anomaly Benchmark:
  KNN CAD
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
  Contextual Anomaly Detector OSE
PHPBench