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 xeonxmrig: KawPow - 1Mxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: GhostRider - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: CryptoNight-Femto UPX2 - 1My-cruncher: 1By-cruncher: 5By-cruncher: 500Mspark-tpch: 1 - Geometric Mean Of All Queriesspark-tpch: 1 - Q01spark-tpch: 1 - Q02spark-tpch: 1 - Q03spark-tpch: 1 - Q04spark-tpch: 1 - Q05spark-tpch: 1 - Q06spark-tpch: 1 - Q07spark-tpch: 1 - Q08spark-tpch: 1 - Q09spark-tpch: 1 - Q10spark-tpch: 1 - Q11spark-tpch: 1 - Q12spark-tpch: 1 - Q13spark-tpch: 1 - Q14spark-tpch: 1 - Q15spark-tpch: 1 - Q16spark-tpch: 1 - Q17spark-tpch: 1 - Q18spark-tpch: 1 - Q19spark-tpch: 1 - Q20spark-tpch: 1 - Q21spark-tpch: 1 - Q22spark-tpch: 10 - Geometric Mean Of All Queriesspark-tpch: 10 - Q01spark-tpch: 10 - Q02spark-tpch: 10 - Q03spark-tpch: 10 - Q04spark-tpch: 10 - Q05spark-tpch: 10 - Q06spark-tpch: 10 - Q07spark-tpch: 10 - Q08spark-tpch: 10 - Q09spark-tpch: 10 - Q10spark-tpch: 10 - Q11spark-tpch: 10 - Q12spark-tpch: 10 - Q13spark-tpch: 10 - Q14spark-tpch: 10 - Q15spark-tpch: 10 - Q16spark-tpch: 10 - Q17spark-tpch: 10 - Q18spark-tpch: 10 - Q19spark-tpch: 10 - Q20spark-tpch: 10 - Q21spark-tpch: 10 - Q22spark-tpch: 50 - Geometric Mean Of All Queriesspark-tpch: 50 - Q01spark-tpch: 50 - Q02spark-tpch: 50 - Q03spark-tpch: 50 - Q04spark-tpch: 50 - Q05spark-tpch: 50 - Q06spark-tpch: 50 - Q07spark-tpch: 50 - Q08spark-tpch: 50 - Q09spark-tpch: 50 - Q10spark-tpch: 50 - Q11spark-tpch: 50 - Q12spark-tpch: 50 - Q13spark-tpch: 50 - Q14spark-tpch: 50 - Q15spark-tpch: 50 - Q16spark-tpch: 50 - Q17spark-tpch: 50 - Q18spark-tpch: 50 - Q19spark-tpch: 50 - Q20spark-tpch: 50 - Q21spark-tpch: 50 - Q22spark-tpch: 100 - Geometric Mean Of All Queriesspark-tpch: 100 - Q01spark-tpch: 100 - Q02spark-tpch: 100 - Q03spark-tpch: 100 - Q04spark-tpch: 100 - Q05spark-tpch: 100 - Q06spark-tpch: 100 - Q07spark-tpch: 100 - Q08spark-tpch: 100 - Q09spark-tpch: 100 - Q10spark-tpch: 100 - Q11spark-tpch: 100 - Q12spark-tpch: 100 - Q13spark-tpch: 100 - Q14spark-tpch: 100 - Q15spark-tpch: 100 - Q16spark-tpch: 100 - Q17spark-tpch: 100 - Q18spark-tpch: 100 - Q19spark-tpch: 100 - Q20spark-tpch: 100 - Q22spark-tpch: 100 - Q21easywave: e2Asean Grid + BengkuluSept2007 Source - 240easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400java-scimark2: Compositejava-scimark2: Fast Fourier Transformjava-scimark2: Jacobi Successive Over-Relaxationjava-scimark2: Monte Carlojava-scimark2: Sparse Matrix Multiplyjava-scimark2: Dense LU Matrix Factorizationblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyghab1462814550.123057.42573.714571.914509.810.51262.5854.7951.208384833.661614181.617387892.104835271.341828582.089725730.499741881.622868661.259285332.609707121.232035280.722777611.086450930.876251160.79347390.988125560.99177391.391134742.055461650.820927261.229158523.727741240.734010284.686658946.04811433.519057996.129261024.84495647.033330442.723727465.785075666.117439278.642863276.010023121.943868044.35364582.71360353.384246593.363536122.618304017.989245419.387366293.247955325.3729724918.435770032.2027585517.0833529417.429918296.861184623.0311145820.6409034725.7839107512.2751207421.6634082823.8721618730.4456462921.333127985.1001067218.986791619.2816190714.4506740613.447230346.3489608836.1994209339.2832565314.4510259617.4976196380.393943796.197791133.5005940832.830554969.5340204250.2742919939.5380744950.2114524824.9114189143.1857070945.3427658164.0657501240.242240918.6547813438.5721740718.1313381227.9079761526.8657665311.0069646876.3974914678.9738311828.4323329934.1444282512.51938629175.444046022.53974.997196.9982295.26741.781242.75830.112083.426578.2746.7124.559.01152.38465.7914569.214497.223133.72604.514502.614486.910.54162.4734.7691.211736813.273964881.631883741.805525661.405249482.020105360.481935081.605123281.303316472.517823221.313600060.735118571.088359360.8824420.865492220.959920351.012699011.381457811.84105980.733788911.284062394.123639110.704608984.675210816.245131023.130995046.011241444.991757397.172961712.645411735.68070656.176751148.198526385.800498492.217174.260655882.835685013.409706353.378822332.333065518.246377949.319698333.441454895.0631332418.376590732.1410291217.4739842517.80183226.7416400923.7892532320.2212200225.7855300912.7265329422.8295917524.3412303930.5533199322.075138094.880963818.715133679.4426565214.6963491414.266098026.6435971337.6179962240.5149116514.5925340718.2092533182.262161256.580070533.7298776334.235752119.4496231149.6503181541.5598716751.5985794125.0075340342.4616241545.4679412863.3455886841.02740868.8212013238.744575518.3135337828.4779052726.5505610.9696235775.3006973379.6958618228.7117614735.9266624512.51120186175.158401492.39374.278195.8112369.28747.941243.25835.272093.536926.4146.74124.2959.4152.62463.9326170.526577.441816.55469.523940.126604.97.76546.6553.6921.752988724.321489331.763883952.614278082.015651463.070729490.753833832.381655451.631655933.504015922.437395570.86173041.589136121.132392881.160958171.476985811.264171842.075079923.055323841.181745892.217281825.975033760.975573665.290515966.226621634.135144237.050231935.889167797.817717081.909532437.03474147.0089163810.834570887.189205653.379800084.610105043.865156893.746073723.620567563.176670076.858697419.217901233.198848255.8083367317.418544772.4564158915.4366202514.112252248.3859329226.7189388317.8846664421.906940468.3184118319.1923980720.7973041529.2359466618.236742025.2890548718.2969788.4584331511.6939573310.884456638.3110933328.0591831230.7162551911.7980594614.9279260672.074424746.4106717127.9273211923.3378658310.9524774638.1989860530.3183536538.1261634816.1009006532.6981277535.9376411456.8288726832.578731548.144505531.1627197313.6262254721.5956630719.8294658713.8822822656.552066862.3843345622.3833351126.8798446711.92330265141.612045293.10654.074144.3662227.22745.981242.24835.62078.136234.1723.9663.2831.0677.66241.0125371.125406.541659.75251.22623524748.27.73946.0273.6651.7286694.311181071.859756472.460161452.018273592.948558090.635688362.207360511.548050053.183356292.2934320.985461061.600363731.266127711.24263991.534737111.135713581.948593142.868094441.10162022.276740075.462178710.982905815.38827176.431015493.934389596.899991996.294402129.047026632.656411657.366999156.7081093810.355339057.310167793.274155864.57121424.062732223.240029813.39584783.801596887.402763379.344733243.23534255.6086893122.03690722.6226782815.252745913.916499148.2253580121.1633567816.972747821.641338358.4224882118.8172302220.4726524427.1630611418.325328835.5749468818.22295388.8951444611.7761497510.127244957.9927978527.5345077532.3481483511.4693727514.2840890968.559608466.4065270428.1093101723.1954498311.0946674343.6746597327.6006698637.0814018215.9477338832.4215736435.0837478654.2940330533.836318978.3278732326.5470104213.670485521.7167358420.5673694620.0175132855.7994804461.1021194521.7784862526.2968311311.40944576139.287597663.09655.197143.3692431.75773.281241.74835.62565.616742.5223.8362.9931.1577.4242.15OpenBenchmarking.org

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: 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

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

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

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

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: 5Bghab142842567062.5962.4746.6646.03

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

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 - 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

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

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

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

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

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

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400ghab4080120160200197.00195.81144.37143.371. (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: Compositeghab50010001500200025002295.262369.282227.222431.75

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

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: Monte Carloghab2004006008001000830.11835.27835.60835.60

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: Dense LU Matrix Factorizationghab150030004500600075006578.276926.416234.176742.52

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-Onlyghab132639526559.0159.4031.0631.15

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: Barbershop - Compute: CPU-Onlyghab100200300400500465.79463.93241.01242.15