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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December 05 2023
  10 Hours, 46 Minutes
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December 05 2023
  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 - Q22hgba369121512.5113.3611.4111.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q20hgba81624324035.9335.6326.3026.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q19hgba71421283528.7129.2421.7822.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q18hgba2040608010079.7080.3561.1062.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q17hgba2040608010075.3076.4055.8056.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q16hgba51015202510.9712.9420.0213.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q15hgba61218243026.5527.3020.5719.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q14hgba71421283528.4828.1321.7221.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q13hgba51015202518.3118.1313.6713.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q12hgba91827364538.7440.2426.5531.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q11hgba2468108.821201328.654781348.327873238.14450550

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q10hgba91827364541.0341.3333.8432.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q09hgba142842567063.3564.0754.2956.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q08hgba102030405045.4745.3435.0835.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q07hgba102030405042.4644.7532.4232.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q06hgba61218243025.0125.2215.9516.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q05hgba132639526551.6055.9737.0838.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q04hgba102030405041.5642.0027.6030.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q03hgba112233445549.6550.2743.6738.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q02hgba36912159.449623119.5340204211.0946674310.95247746

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Q01hgba81624324034.2434.2323.2023.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 100 - Geometric Mean Of All Querieshgba81624324033.7333.5028.1127.93MIN: 8.82 / MAX: 175.16MIN: 8.65 / MAX: 175.44MIN: 8.33 / MAX: 139.29MIN: 8.14 / MAX: 141.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q22hgba2468106.580070507.110623846.406527046.41067171

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21hgba2040608010082.2681.1168.5672.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20hgba51015202518.2118.4014.2814.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19hgba4812162014.5914.8511.4711.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18hgba91827364540.5141.5432.3530.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17hgba91827364537.6236.9427.5328.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16hgba2468106.643597136.348960887.992797858.31109333

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15hgba4812162014.2713.8610.1310.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14hgba4812162014.7014.4511.7811.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13hgba36912159.442656529.281619078.895144468.45843315

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12hgba51015202518.7218.9918.2218.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11hgba1.25442.50883.76325.01766.2724.880963805.100106725.574946885.28905487

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10hgba51015202522.0821.3918.3318.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09hgba71421283530.5530.4527.1629.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08hgba61218243024.3424.1820.4720.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07hgba51015202522.8321.9118.8219.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06hgba369121512.7265329412.489760408.422488218.31841183

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05hgba61218243025.7925.9021.6421.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04hgba51015202520.2221.3216.9717.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03hgba61218243023.7924.0921.1626.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02hgba2468106.741640096.861184608.225358018.38593292

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01hgba4812162017.8017.7113.9214.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Querieshgba4812162017.4717.3515.2515.44MIN: 4.88 / MAX: 82.26MIN: 4.99 / MAX: 81.11MIN: 5.57 / MAX: 68.56MIN: 5.29 / MAX: 72.07

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-Onlyhgba100200300400500463.93465.79242.15241.01

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: 1Mhgba120024003600480060002604.52573.75251.25469.51. (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: 2400hgba4080120160200195.81197.00143.37144.371. (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 - Q22hgba0.59011.18021.77032.36042.95052.141029122.202758552.622678282.45641589

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21hgba51015202518.3819.3922.0417.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20hgba1.30692.61383.92075.22766.53455.063133245.372972495.608689315.80833673

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19hgba0.94171.88342.82513.76684.70853.441454894.185122493.235342503.19884825

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18hgba36912159.319698339.387366299.344733249.21790123

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17hgba2468108.246377948.047915467.402763376.85869741

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16hgba0.85541.71082.56623.42164.2772.333065512.804042343.801596883.17667007

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15hgba0.81461.62922.44383.25844.0733.378822333.363536123.395847803.62056756

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14hgba0.84291.68582.52873.37164.21453.409706353.384246593.240029813.74607372

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13hgba0.91411.82822.74233.65644.57052.835685013.046348814.062732223.86515689

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12hgba1.03732.07463.11194.14925.18654.260655884.353645804.571214204.61010504

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11hgba0.76051.5212.28153.0423.80252.217170001.973069073.274155863.37980008

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10hgba2468105.800498496.010023127.310167797.18920565

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09hgba36912158.198526388.6428632710.3553390510.83457088

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08hgba2468106.176751146.117439276.708109387.00891638

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07hgba2468105.680706506.003273497.366999157.03474140

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06hgba0.61281.22561.83842.45123.0642.645411732.723727462.656411651.90953243

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05hgba36912157.172961717.279921059.047026637.81771708

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04hgba2468104.991757395.281760226.294402125.88916779

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03hgba2468106.011241446.234759336.899991997.05023193

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02hgba0.93041.86082.79123.72164.6523.130995043.519057993.934389594.13514423

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01hgba2468106.245131026.048114306.431015496.22662163

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Querieshgba1.21242.42483.63724.84966.0624.675210814.790309045.388271705.29051596MIN: 2.14 / MAX: 18.38MIN: 1.97 / MAX: 19.39MIN: 2.62 / MAX: 22.04MIN: 2.46 / MAX: 17.42

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-Onlyhgba306090120150152.62152.3877.4077.66

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-Onlyhgba306090120150124.29124.5062.9963.28

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: 1200hgba2040608010074.2875.0055.2054.071. (CXX) g++ options: -O3 -fopenmp

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 5Bhgba142842567062.4762.5946.0346.66

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: 1Mhgba6K12K18K24K30K14502.614571.926235.023940.11. (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: CryptoNight-Femto UPX2 - Hash Count: 1Mhgba6K12K18K24K30K14486.914509.824748.226604.91. (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: 1Mhgba6K12K18K24K30K14569.214628.025371.126170.51. (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: 1Mhgba6K12K18K24K30K14497.214550.125406.526577.41. (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-Onlyhgba132639526559.4059.0131.1531.06

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 - Q22hgba0.22120.44240.66360.88481.1060.704608980.745733800.982905810.97557366

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21hgba1.34442.68884.03325.37766.7224.123639114.012363915.462178715.97503376

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20hgba0.51231.02461.53692.04922.56151.284062391.373023632.276740072.21728182

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19hgba0.26590.53180.79771.06361.32950.733788910.820927261.101620201.18174589

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18hgba0.68741.37482.06222.74963.4371.841059802.055461652.868094443.05532384

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17hgba0.46690.93381.40071.86762.33451.381457811.408179281.948593142.07507992

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16hgba0.28440.56880.85321.13761.4221.012699011.055834051.135713581.26417184

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15hgba0.34530.69061.03591.38121.72650.959920351.007878781.534737111.47698581

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14hgba0.27960.55920.83881.11841.3980.865492220.832650241.242639901.16095817

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13hgba0.28490.56980.85471.13961.42450.882442000.903597591.266127711.13239288

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12hgba0.36010.72021.08031.44041.80051.088359361.211313371.600363731.58913612

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11hgba0.22170.44340.66510.88681.10850.735118570.777898070.985461060.86173040

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10hgba0.54841.09681.64522.19362.7421.313600061.274445652.293432002.43739557

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09hgba0.78841.57682.36523.15363.9422.517823222.609707123.183356293.50401592

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08hgba0.36710.73421.10131.46841.83551.303316471.475183731.548050051.63165593

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07hgba0.53591.07181.60772.14362.67951.605123281.622868662.207360512.38165545

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06hgba0.16960.33920.50880.67840.8480.481935080.499741880.635688360.75383383

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05hgba0.69091.38182.07272.76363.45452.020105362.089725732.948558093.07072949

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04hgba0.45410.90821.36231.81642.27051.405249481.406677602.018273592.01565146

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03hgba0.58821.17641.76462.35282.9411.805525662.104835272.460161452.61427808

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02hgba0.41840.83681.25521.67362.0921.631883741.617387891.859756471.76388395

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01hgba0.97231.94462.91693.88924.86153.273964883.661614184.311181074.32148933

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Querieshgba0.39440.78881.18321.57761.9721.211736811.243453741.728669001.75298872MIN: 0.7 / MAX: 4.12MIN: 0.71 / MAX: 4.01MIN: 0.98 / MAX: 5.46MIN: 0.86 / MAX: 5.98

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-Onlyhgba112233445546.7446.7023.8323.96

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: 1Mhgba9K18K27K36K45K23133.723057.441659.741816.51. (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: Compositehgba50010001500200025002369.282295.262431.752227.22

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 1Bhgba369121510.54110.5127.7397.765

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 500Mhgba1.07892.15783.23674.31565.39454.7694.7953.6653.692

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: 240hgba0.69891.39782.09672.79563.49452.3932.5393.0963.1061. (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 Factorizationhgba150030004500600075006926.416578.276742.526234.17

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix Multiplyhgba60012001800240030002093.532083.422565.612078.13

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte Carlohgba2004006008001000835.27830.11835.60835.60

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-Relaxationhgba300600900120015001243.251242.751241.741242.24

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier Transformhgba170340510680850747.94741.78773.28745.98

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