xmrig ycruncher xeon

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 23.10 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 2312059-NE-XMRIGYCRU77
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December 05 2023
  10 Hours, 41 Minutes
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  10 Hours, 46 Minutes
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  9 Hours, 6 Minutes
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xmrig ycruncher xeonProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionghabIntel Xeon Platinum 8380 @ 3.40GHz (40 Cores / 80 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Ice Lake IEH256GB3201GB Micron_7450_MTFDKCC3T2TFSASPEEDVE2282 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 23.106.6.0-rc5-phx-patched (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext41920x10802 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)512GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd0003a5Java Details- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)Python Details- Python 3.11.6Security Details- gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_rstack_overflow: 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 Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

ghabResult OverviewPhoronix Test Suite100%124%147%171%195%BlenderXmrigY-CrunchereasyWaveJava SciMarkApache Spark TPC-H

xmrig ycruncher xeonspark-tpch: 100 - Q22spark-tpch: 100 - Q20spark-tpch: 100 - Q19spark-tpch: 100 - Q18spark-tpch: 100 - Q17spark-tpch: 100 - Q16spark-tpch: 100 - Q15spark-tpch: 100 - Q14spark-tpch: 100 - Q13spark-tpch: 100 - Q12spark-tpch: 100 - Q11spark-tpch: 100 - Q10spark-tpch: 100 - Q09spark-tpch: 100 - Q08spark-tpch: 100 - Q07spark-tpch: 100 - Q06spark-tpch: 100 - Q05spark-tpch: 100 - Q04spark-tpch: 100 - Q03spark-tpch: 100 - Q02spark-tpch: 100 - Q01spark-tpch: 100 - Geometric Mean Of All Queriesspark-tpch: 100 - Q21spark-tpch: 50 - Q22spark-tpch: 50 - Q21spark-tpch: 50 - Q20spark-tpch: 50 - Q19spark-tpch: 50 - Q18spark-tpch: 50 - Q17spark-tpch: 50 - Q16spark-tpch: 50 - Q15spark-tpch: 50 - Q14spark-tpch: 50 - Q13spark-tpch: 50 - Q12spark-tpch: 50 - Q11spark-tpch: 50 - Q10spark-tpch: 50 - Q09spark-tpch: 50 - Q08spark-tpch: 50 - Q07spark-tpch: 50 - Q06spark-tpch: 50 - Q05spark-tpch: 50 - Q04spark-tpch: 50 - Q03spark-tpch: 50 - Q02spark-tpch: 50 - Q01spark-tpch: 50 - Geometric Mean Of All Queriesblender: Barbershop - CPU-Onlyxmrig: GhostRider - 1Measywave: e2Asean Grid + BengkuluSept2007 Source - 2400spark-tpch: 10 - Q22spark-tpch: 10 - Q21spark-tpch: 10 - Q20spark-tpch: 10 - Q19spark-tpch: 10 - Q18spark-tpch: 10 - Q17spark-tpch: 10 - Q16spark-tpch: 10 - Q15spark-tpch: 10 - Q14spark-tpch: 10 - Q13spark-tpch: 10 - Q12spark-tpch: 10 - Q11spark-tpch: 10 - Q10spark-tpch: 10 - Q09spark-tpch: 10 - Q08spark-tpch: 10 - Q07spark-tpch: 10 - Q06spark-tpch: 10 - Q05spark-tpch: 10 - Q04spark-tpch: 10 - Q03spark-tpch: 10 - Q02spark-tpch: 10 - Q01spark-tpch: 10 - Geometric Mean Of All Queriesblender: Pabellon Barcelona - CPU-Onlyblender: Classroom - CPU-Onlyeasywave: e2Asean Grid + BengkuluSept2007 Source - 1200y-cruncher: 5Bxmrig: CryptoNight-Heavy - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: KawPow - 1Mxmrig: Monero - 1Mblender: Fishy Cat - CPU-Onlyspark-tpch: 1 - Q22spark-tpch: 1 - Q21spark-tpch: 1 - Q20spark-tpch: 1 - Q19spark-tpch: 1 - Q18spark-tpch: 1 - Q17spark-tpch: 1 - Q16spark-tpch: 1 - Q15spark-tpch: 1 - Q14spark-tpch: 1 - Q13spark-tpch: 1 - Q12spark-tpch: 1 - Q11spark-tpch: 1 - Q10spark-tpch: 1 - Q09spark-tpch: 1 - Q08spark-tpch: 1 - Q07spark-tpch: 1 - Q06spark-tpch: 1 - Q05spark-tpch: 1 - Q04spark-tpch: 1 - Q03spark-tpch: 1 - Q02spark-tpch: 1 - Q01spark-tpch: 1 - Geometric Mean Of All Queriesblender: BMW27 - CPU-Onlyxmrig: Wownero - 1Mjava-scimark2: Compositey-cruncher: 1By-cruncher: 500Measywave: e2Asean Grid + BengkuluSept2007 Source - 240java-scimark2: Dense LU Matrix Factorizationjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Monte Carlojava-scimark2: Jacobi Successive Over-Relaxationjava-scimark2: Fast Fourier Transformghab12.5193862934.1444282528.4323329978.9738311876.3974914611.0069646826.8657665327.9079761518.1313381238.572174078.6547813440.2422409164.0657501245.3427658143.1857070924.9114189150.2114524839.5380744950.274291999.5340204232.8305549633.50059408175.444046026.197791180.3939437917.4976196314.4510259639.2832565336.199420936.3489608813.4472303414.450674069.2816190718.986791615.1001067221.3331279830.4456462923.8721618721.6634082812.2751207425.7839107520.6409034723.031114586.861184617.4299182917.08335294465.792573.7196.9982.2027585518.435770035.372972493.247955329.387366297.989245412.618304013.363536123.384246592.71360354.35364581.943868046.010023128.642863276.117439275.785075662.723727467.033330444.84495646.129261023.519057996.04811434.68665894152.38124.574.99762.58514571.914509.81462814550.159.010.734010283.727741241.229158520.820927262.055461651.391134740.99177390.988125560.79347390.876251161.086450930.722777611.232035282.609707121.259285331.622868660.499741882.089725731.341828582.104835271.617387893.661614181.2083848346.723057.42295.2610.5124.7952.5396578.272083.42830.111242.75741.7812.5112018635.9266624528.7117614779.6958618275.3006973310.9696235726.5505628.4779052718.3135337838.74457558.8212013241.027408663.3455886845.4679412842.4616241525.0075340351.5985794141.5598716749.650318159.4496231134.2357521133.72987763175.158401496.580070582.2621612518.2092533114.5925340740.5149116537.617996226.6435971314.2660980214.696349149.4426565218.715133674.880963822.0751380930.5533199324.3412303922.8295917512.7265329425.7855300920.2212200223.789253236.7416400917.801832217.47398425463.932604.5195.8112.1410291218.376590735.063133243.441454899.319698338.246377942.333065513.378822333.409706352.835685014.260655882.217175.800498498.198526386.176751145.68070652.645411737.172961714.991757396.011241443.130995046.245131024.67521081152.62124.2974.27862.47314502.614486.914569.214497.259.40.704608984.123639111.284062390.733788911.84105981.381457811.012699010.959920350.865492220.8824421.088359360.735118571.313600062.517823221.303316471.605123280.481935082.020105361.405249481.805525661.631883743.273964881.2117368146.7423133.72369.2810.5414.7692.3936926.412093.53835.271243.25747.9411.9233026526.8798446722.3833351162.3843345656.552066813.8822822619.8294658721.5956630713.6262254731.162719738.144505532.5787315456.8288726835.9376411432.6981277516.1009006538.1261634830.3183536538.1989860510.9524774623.3378658327.92732119141.612045296.4106717172.0744247414.9279260611.7980594630.7162551928.059183128.3110933310.8844566311.693957338.4584331518.2969785.2890548718.2367420229.2359466620.7973041519.192398078.3184118321.9069404617.8846664426.718938838.3859329214.1122522415.43662025241.015469.5144.3662.4564158917.418544775.808336733.198848259.217901236.858697413.176670073.620567563.746073723.865156894.610105043.379800087.1892056510.834570887.008916387.03474141.909532437.817717085.889167797.050231934.135144236.226621635.2905159677.6663.2854.07446.65523940.126604.926170.526577.431.060.975573665.975033762.217281821.181745893.055323842.075079921.264171841.476985811.160958171.132392881.589136120.86173042.437395573.504015921.631655932.381655450.753833833.070729492.015651462.614278081.763883954.321489331.7529887223.9641816.52227.227.7653.6923.1066234.172078.13835.61242.24745.9811.4094457626.2968311321.7784862561.1021194555.7994804420.0175132820.5673694621.7167358413.670485526.547010428.3278732333.8363189754.2940330535.0837478632.4215736415.9477338837.0814018227.6006698643.6746597311.0946674323.1954498328.10931017139.287597666.4065270468.5596084614.2840890911.4693727532.3481483527.534507757.9927978510.1272449511.776149758.8951444618.22295385.5749468818.3253288327.1630611420.4726524418.817230228.4224882121.6413383516.972747821.163356788.2253580113.9164991415.2527459242.155251.2143.3692.6226782822.03690725.608689313.23534259.344733247.402763373.801596883.39584783.240029814.062732224.57121423.274155867.3101677910.355339056.708109387.366999152.656411659.047026636.294402126.899991993.934389596.431015495.388271777.462.9955.19746.0272623524748.225371.125406.531.150.982905815.462178712.276740071.10162022.868094441.948593141.135713581.534737111.24263991.266127711.600363730.985461062.2934323.183356291.548050052.207360510.635688362.948558092.018273592.460161451.859756474.311181071.72866923.8341659.72431.757.7393.6653.0966742.522565.61835.61241.74773.28OpenBenchmarking.org

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q22ghab369121513.3612.5111.9211.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q20ghab81624324035.6335.9326.8826.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q19ghab71421283529.2428.7122.3821.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q18ghab2040608010080.3579.7062.3861.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q17ghab2040608010076.2075.3056.5555.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q16ghab51015202512.9410.9713.8820.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q15ghab61218243027.3026.5519.8320.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q14ghab71421283528.1328.4821.6021.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q13ghab51015202517.7918.3113.6313.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q12ghab91827364540.2438.7431.1626.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q11ghab2468108.524727828.821201328.144505508.32787323

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q10ghab91827364541.3341.0332.5833.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q09ghab142842567063.7863.3556.8354.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q08ghab102030405045.2145.4735.9435.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q07ghab102030405044.7542.4632.7032.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q06ghab61218243025.2225.0116.1015.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q05ghab132639526555.9751.6038.1337.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q04ghab102030405042.0041.5630.3227.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q03ghab112233445549.9849.6538.2043.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q02ghab36912159.520868309.4496231110.9524774611.09466743

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q01ghab81624324034.2334.2423.3423.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Geometric Mean Of All Queriesghab81624324031.3333.7327.9328.11MIN: 8.52 / MAX: 80.35MIN: 8.82 / MAX: 175.16MIN: 8.14 / MAX: 141.61MIN: 8.33 / MAX: 139.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q22ghab2468107.110623846.580070506.410671716.40652704

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21ghab2040608010081.1182.2672.0768.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20ghab51015202518.4018.2114.9314.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19ghab4812162014.8514.5911.8011.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18ghab91827364541.5440.5130.7232.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17ghab91827364536.9437.6228.0627.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16ghab2468106.181480416.643597138.311093337.99279785

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15ghab4812162013.8614.2710.8810.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14ghab4812162014.3814.7011.6911.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13ghab36912158.909344679.442656528.458433158.89514446

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12ghab51015202518.7118.7218.3018.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11ghab1.25442.50883.76325.01766.2724.985758304.880963805.289054875.57494688

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10ghab51015202521.3922.0818.2418.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09ghab71421283530.2630.5529.2427.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08ghab61218243024.1824.3420.8020.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07ghab51015202521.9122.8319.1918.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06ghab369121512.4897604012.726532948.318411838.42248821

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05ghab61218243025.9025.7921.9121.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04ghab51015202521.3220.2217.8816.97

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03ghab61218243024.0923.7926.7221.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02ghab2468106.403969766.741640098.385932928.22535801

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01ghab4812162017.7117.8014.1113.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Queriesghab4812162017.3517.4715.4415.25MIN: 4.99 / MAX: 81.11MIN: 4.88 / MAX: 82.26MIN: 5.29 / MAX: 72.07MIN: 5.57 / MAX: 68.56

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 4.0Blend File: Barbershop - Compute: CPU-Onlyghab100200300400500465.79463.93241.01242.15

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1Mghab120024003600480060002573.72604.55469.55251.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400ghab4080120160200197.00195.81144.37143.371. (CXX) g++ options: -O3 -fopenmp

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22ghab0.59011.18021.77032.36042.95052.167822362.141029122.456415892.62267828

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21ghab51015202519.3918.3817.4222.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20ghab1.30692.61383.92075.22766.53455.157200345.063133245.808336735.60868931

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19ghab0.94171.88342.82513.76684.70854.185122493.441454893.198848253.23534250

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18ghab36912159.338490499.319698339.217901239.34473324

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17ghab2468108.047915468.246377946.858697417.40276337

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16ghab0.85541.71082.56623.42164.2772.804042342.333065513.176670073.80159688

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15ghab0.81461.62922.44383.25844.0733.308599473.378822333.620567563.39584780

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14ghab0.84291.68582.52873.37164.21453.347477443.409706353.746073723.24002981

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13ghab0.91411.82822.74233.65644.57053.046348812.835685013.865156894.06273222

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12ghab1.03732.07463.11194.14925.18654.281406884.260655884.610105044.57121420

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11ghab0.76051.5212.28153.0423.80251.973069072.217170003.379800083.27415586

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10ghab2468105.736112595.800498497.189205657.31016779

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09ghab36912158.495905888.1985263810.8345708810.35533905

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08ghab2468106.043360236.176751147.008916386.70810938

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07ghab2468106.003273495.680706507.034741407.36699915

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06ghab0.61281.22561.83842.45123.0642.670931342.645411731.909532432.65641165

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05ghab36912157.279921057.172961717.817717089.04702663

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04ghab2468105.281760224.991757395.889167796.29440212

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03ghab2468106.234759336.011241447.050231936.89999199

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02ghab0.93041.86082.79123.72164.6523.296227463.130995044.135144233.93438959

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01ghab2468105.996582036.245131026.226621636.43101549

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesghab1.21242.42483.63724.84966.0624.790309044.675210815.290515965.38827170MIN: 1.97 / MAX: 19.39MIN: 2.14 / MAX: 18.38MIN: 2.46 / MAX: 17.42MIN: 2.62 / MAX: 22.04

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 4.0Blend File: Pabellon Barcelona - Compute: CPU-Onlyghab306090120150152.38152.6277.6677.40

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-Onlyghab306090120150124.50124.2963.2862.99

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200ghab2040608010075.0074.2854.0755.201. (CXX) g++ options: -O3 -fopenmp

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 5Bghab142842567062.5962.4746.6646.03

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1Mghab6K12K18K24K30K14571.914502.623940.126235.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1Mghab6K12K18K24K30K14509.814486.926604.924748.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1Mghab6K12K18K24K30K14628.014569.226170.525371.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1Mghab6K12K18K24K30K14550.114497.226577.425406.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 4.0Blend File: Fishy Cat - Compute: CPU-Onlyghab132639526559.0159.4031.0631.15

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22ghab0.22120.44240.66360.88481.1060.745733800.704608980.975573660.98290581

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21ghab1.34442.68884.03325.37766.7224.012363914.123639115.975033765.46217871

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20ghab0.51231.02461.53692.04922.56151.373023631.284062392.217281822.27674007

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19ghab0.26590.53180.79771.06361.32950.708427250.733788911.181745891.10162020

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18ghab0.68741.37482.06222.74963.4371.927556161.841059803.055323842.86809444

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17ghab0.46690.93381.40071.86762.33451.408179281.381457812.075079921.94859314

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16ghab0.28440.56880.85321.13761.4221.055834051.012699011.264171841.13571358

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15ghab0.34530.69061.03591.38121.72651.007878780.959920351.476985811.53473711

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14ghab0.27960.55920.83881.11841.3980.832650240.865492221.160958171.24263990

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13ghab0.28490.56980.85471.13961.42450.903597590.882442001.132392881.26612771

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12ghab0.36010.72021.08031.44041.80051.211313371.088359361.589136121.60036373

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11ghab0.22170.44340.66510.88681.10850.777898070.735118570.861730400.98546106

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10ghab0.54841.09681.64522.19362.7421.274445651.313600062.437395572.29343200

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09ghab0.78841.57682.36523.15363.9422.344411372.517823223.504015923.18335629

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08ghab0.36710.73421.10131.46841.83551.475183731.303316471.631655931.54805005

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07ghab0.53591.07181.60772.14362.67951.464647171.605123282.381655452.20736051

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06ghab0.16960.33920.50880.67840.8480.471747700.481935080.753833830.63568836

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05ghab0.69091.38182.07272.76363.45451.920843842.020105363.070729492.94855809

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04ghab0.45410.90821.36231.81642.27051.406677601.405249482.015651462.01827359

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03ghab0.58821.17641.76462.35282.9411.775777581.805525662.614278082.46016145

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02ghab0.41840.83681.25521.67362.0921.529603481.631883741.763883951.85975647

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01ghab0.97231.94462.91693.88924.86153.449208263.273964884.321489334.31118107

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesghab0.39440.78881.18321.57761.9721.243453741.211736811.752988721.72866900MIN: 0.71 / MAX: 4.01MIN: 0.7 / MAX: 4.12MIN: 0.86 / MAX: 5.98MIN: 0.98 / MAX: 5.46

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 4.0Blend File: BMW27 - Compute: CPU-Onlyghab112233445546.7046.7423.9623.83

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1Mghab9K18K27K36K45K23057.423133.741816.541659.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Java SciMark

This test runs the Java version of SciMark 2, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This benchmark is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Compositeghab50010001500200025002295.262369.282227.222431.75

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 1Bghab369121510.51210.5417.7657.739

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 500Mghab1.07892.15783.23674.31565.39454.7954.7693.6923.665

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240ghab0.69891.39782.09672.79563.49452.5392.3933.1063.0961. (CXX) g++ options: -O3 -fopenmp

Java SciMark

This test runs the Java version of SciMark 2, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This benchmark is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix Factorizationghab150030004500600075006578.276926.416234.176742.52

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix Multiplyghab60012001800240030002083.422093.532078.132565.61

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte Carloghab2004006008001000830.11835.27835.60835.60

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-Relaxationghab300600900120015001242.751243.251242.241241.74

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier Transformghab170340510680850741.78747.94745.98773.28

114 Results Shown

Apache Spark TPC-H:
  100 - Q22
  100 - Q20
  100 - Q19
  100 - Q18
  100 - Q17
  100 - Q16
  100 - Q15
  100 - Q14
  100 - Q13
  100 - Q12
  100 - Q11
  100 - Q10
  100 - Q09
  100 - Q08
  100 - Q07
  100 - Q06
  100 - Q05
  100 - Q04
  100 - Q03
  100 - Q02
  100 - Q01
  100 - Geometric Mean Of All Queries
  50 - Q22
  50 - Q21
  50 - Q20
  50 - Q19
  50 - Q18
  50 - Q17
  50 - Q16
  50 - Q15
  50 - Q14
  50 - Q13
  50 - Q12
  50 - Q11
  50 - Q10
  50 - Q09
  50 - Q08
  50 - Q07
  50 - Q06
  50 - Q05
  50 - Q04
  50 - Q03
  50 - Q02
  50 - Q01
  50 - Geometric Mean Of All Queries
Blender
Xmrig
easyWave
Apache Spark TPC-H:
  10 - Q22
  10 - Q21
  10 - Q20
  10 - Q19
  10 - Q18
  10 - Q17
  10 - Q16
  10 - Q15
  10 - Q14
  10 - Q13
  10 - Q12
  10 - Q11
  10 - Q10
  10 - Q09
  10 - Q08
  10 - Q07
  10 - Q06
  10 - Q05
  10 - Q04
  10 - Q03
  10 - Q02
  10 - Q01
  10 - Geometric Mean Of All Queries
Blender:
  Pabellon Barcelona - CPU-Only
  Classroom - CPU-Only
easyWave
Y-Cruncher
Xmrig:
  CryptoNight-Heavy - 1M
  CryptoNight-Femto UPX2 - 1M
  KawPow - 1M
  Monero - 1M
Blender
Apache Spark TPC-H:
  1 - Q22
  1 - Q21
  1 - Q20
  1 - Q19
  1 - Q18
  1 - Q17
  1 - Q16
  1 - Q15
  1 - Q14
  1 - Q13
  1 - Q12
  1 - Q11
  1 - Q10
  1 - Q09
  1 - Q08
  1 - Q07
  1 - Q06
  1 - Q05
  1 - Q04
  1 - Q03
  1 - Q02
  1 - Q01
  1 - Geometric Mean Of All Queries
Blender
Xmrig
Java SciMark
Y-Cruncher:
  1B
  500M
easyWave
Java SciMark:
  Dense LU Matrix Factorization
  Sparse Matrix Multiply
  Monte Carlo
  Jacobi Successive Over-Relaxation
  Fast Fourier Transform