start-q2-2022-epyc

2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (TYM1008C BIOS) and ASPEED on Ubuntu 22.04 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 2204090-NE-STARTQ22075
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 12 Tests
Creator Workloads 13 Tests
Fortran Tests 5 Tests
Game Development 5 Tests
HPC - High Performance Computing 15 Tests
Java 2 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Linear Algebra 2 Tests
Machine Learning 2 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 6 Tests
Multi-Core 24 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 11 Tests
Programmer / Developer System Benchmarks 8 Tests
Python Tests 5 Tests
Quantum Mechanics 2 Tests
Raytracing 3 Tests
Renderers 5 Tests
Scientific Computing 9 Tests
Server CPU Tests 9 Tests
Texture Compression 2 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
EPYC 75F3 2P A
March 31 2022
  3 Hours, 13 Minutes
2 x AMD EPYC 75F3 32-Core
March 31 2022
  2 Hours, 50 Minutes
7573X 1P A
March 31 2022
  2 Hours, 18 Minutes
EPYC 7573X
March 31 2022
  3 Hours, 36 Minutes
AMD EPYC 7373X
April 01 2022
  3 Hours, 27 Minutes
EPYC 7573X 2P
April 01 2022
  3 Hours, 39 Minutes
7573X 2P AMD
April 01 2022
  2 Hours, 46 Minutes
EPYC 7763
April 01 2022
  8 Hours, 22 Minutes
EPYC 7763 1P
April 02 2022
  3 Hours, 41 Minutes
AMD 7763
April 02 2022
  8 Hours, 19 Minutes
AMD EPYC 7763
April 02 2022
  46 Minutes
EPYC 7763 2P
April 02 2022
  6 Hours, 38 Minutes
AMD 7763 2P
April 03 2022
  3 Hours, 58 Minutes
7763 2P
April 03 2022
  4 Hours, 13 Minutes
7763 TwoP
April 07 2022
  9 Minutes
7773X 1P
April 07 2022
  3 Hours, 36 Minutes
EPYC 7773X
April 07 2022
  3 Hours, 38 Minutes
AMD EPYC 7773X
April 07 2022
  2 Hours, 27 Minutes
7773X AMD
April 07 2022
  7 Hours, 58 Minutes
EPYC 7773X 2P
April 08 2022
  3 Hours, 10 Minutes
AMD EPYC 7773X 2P
April 08 2022
  4 Hours, 11 Minutes
AMD 7773X 2P
April 08 2022
  4 Hours, 5 Minutes
7773X 2P AMD
April 08 2022
  6 Hours, 15 Minutes
Q
April 09 2022
  2 Hours, 37 Minutes
Invert Hiding All Results Option
  4 Hours

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


start-q2-2022-epyc ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 75F3 2P A2 x AMD EPYC 75F3 32-Core7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7763 TwoP7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads)AMD DAYTONA_X (TYM1008C BIOS)AMD Starship/Matisse16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2800GB INTEL SSDPF21Q800GBASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.17.0-051700rc8-generic (x86_64)GNOME Shell 41.3X Server1.1.182GCC 11.2.0ext41920x1080AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads)8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E22 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads)16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E21024x768AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads)8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E22 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads)16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2VE2281920x1080AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads)8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E22 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads)16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2OpenBenchmarking.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,brig,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-targets=nvptx-none=/build/gcc-11-iOLsLC/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-iOLsLC/gcc-11-11.2.0/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- EPYC 75F3 2P A: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001162- 2 x AMD EPYC 75F3 32-Core: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001162- 7573X 1P A: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- EPYC 7573X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- AMD EPYC 7373X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- EPYC 7573X 2P: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001228- 7573X 2P AMD: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- EPYC 7763: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- EPYC 7763 1P: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- AMD 7763: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001162- AMD EPYC 7763: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- EPYC 7763 2P: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- AMD 7763 2P: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- 7763 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001162- 7763 TwoP: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001162- 7773X 1P: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001228- EPYC 7773X: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001228- AMD EPYC 7773X: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001228- 7773X AMD: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001228- EPYC 7773X 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- AMD EPYC 7773X 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- AMD 7773X 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- 7773X 2P AMD: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228- Q: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001228Python Details- EPYC 75F3 2P A, 7573X 1P A, EPYC 7573X, AMD EPYC 7373X, EPYC 7573X 2P, 7573X 2P AMD, EPYC 7763, EPYC 7763 1P, AMD 7763, AMD EPYC 7763, EPYC 7763 2P, AMD 7763 2P, 7763 2P, 7773X 1P, EPYC 7773X, AMD EPYC 7773X, 7773X AMD, EPYC 7773X 2P, AMD EPYC 7773X 2P, AMD 7773X 2P, 7773X 2P AMD, Q: Python 3.9.10Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affectedJava Details- 7573X 1P A, EPYC 7573X, AMD EPYC 7373X, EPYC 7573X 2P, 7573X 2P AMD, EPYC 7763, EPYC 7763 1P, AMD 7763, AMD EPYC 7763, EPYC 7763 2P, AMD 7763 2P, 7763 2P, 7773X 1P, EPYC 7773X, AMD EPYC 7773X, 7773X AMD, EPYC 7773X 2P, AMD EPYC 7773X 2P, AMD 7773X 2P, 7773X 2P AMD, Q: OpenJDK Runtime Environment (build 11.0.14+9-Ubuntu-0ubuntu2)

start-q2-2022-epyc wrf: conus 2.5kmbrl-cad: VGR Performance Metricopenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarjava-jmh: Throughputincompact3d: X3D-benchmarking input.i3djava-gradle-perf: Reactoraskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingqe: AUSURF112ospray: particle_volume/pathtracer/real_timeospray: particle_volume/scivis/real_timerelion: Basic - CPUlammps: 20k Atomsblender: Barbershop - CPU-Onlybuild-linux-kernel: allmodconfigbuild-llvm: Unix Makefilesospray: particle_volume/ao/real_timeospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerbuild-nodejs: Time To Compilebuild-llvm: Ninjaasmfish: 1024 Hash Memory, 26 Depthonnx: GPT-2 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelavifenc: 0ospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUblender: Pabellon Barcelona - CPU-Onlybuild-wasmer: Time To Compileavifenc: 2luxcorerender: Orange Juice - CPUblender: Classroom - CPU-Onlyluxcorerender: Danish Mood - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: DLSC - CPUrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Read While Writingrocksdb: Rand Readbuild-godot: Time To Compiletoktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubegromacs: MPI CPU - water_GMX50_bareamg: blender: Fishy Cat - CPU-Onlynpb: EP.Daskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingblender: BMW27 - CPU-Onlybuild-linux-kernel: defconfigembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragon Objcoremark: CoreMark Size 666 - Iterations Per Secondnamd: ATPase Simulation - 327,506 Atomsnpb: BT.Cstockfish: Total Timetoktx: Zstd Compression 19onednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57lulesh: incompact3d: input.i3d 193 Cells Per Directionnpb: SP.Caskap: Hogbom Clean OpenMPonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUnpb: IS.Dpovray: Trace Timeavifenc: 6, Losslessonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUavifenc: 10, Losslessnpb: LU.Cbuild-mplayer: Time To Compileaskap: tConvolve OpenMP - Degriddingembree: Pathtracer ISPC - Asian Dragontoktx: UASTC 3 + Zstd Compression 19embree: Pathtracer ISPC - Crownaskap: tConvolve OpenMP - Griddingembree: Pathtracer - Asian Dragonluxcorerender: Rainbow Colors and Prism - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUembree: Pathtracer - Crowndraco: Church Facademt-dgemm: Sustained Floating-Point Ratenpb: FT.Cdraco: Liononednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUavifenc: 6npb: CG.Cincompact3d: input.i3d 129 Cells Per Directionnpb: SP.Btoktx: UASTC 3npb: EP.Cnpb: MG.Ctoktx: Zstd Compression 9onednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUlammps: Rhodopsin Proteinonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUEPYC 75F3 2P A2 x AMD EPYC 75F3 32-Core7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7763 TwoP7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ86291018111297170984286.683318.375702253.96414664.76698.26266.92385.207628.281236.8186.728171.84988.9845147801525974077575556477883746717705110.64115.72418197593731261301288581132948716711654243051834402816.31679.9584410.39824427.464440.274517.631765.011841.591797.0272.2650.12915.4858.046.435.8210.232880273101945813236238369217044.16950.19755.347.26191254800029.755497.4344663.141160.122.5820.88255.875159.74652304553.0927420.30593200238.8218042413918.7710.23422.083243681600000399720000037349.75412.3209553113354.04358.4234.367754.742284381.748.51815.735523.4463272016.088.9695916.864.87139.69366.91224590.6267.835320.822.579520.82062872.6656683221.925899106308.9351770.6873270.64335339363.063.32994199170824.443.8996195.25103087.312.6772.00570.78886130.2299589.901323.26232.19811665620.268259424.996403.75325.92644.768420.339336.434240.82446.64912793228315138921403110218731642185733000168.929186.193891673438.264865.165275.398761581.271588.891617.481273.891251.431275.6653.0769.02114.854.674.915.9650.14395.14466.4684.949106943100056.542916.9424990.12058043.5931.59939.179244.24021357754.0485110.57648109457.229648875217.2574.970541.247041959700000197190000020691.46919.938028382422.98862.0691.596741.125382828.0614.8659.6447210.5713174334.8112.52619018.343.68528.82940.101917750.447.90318.920.6365240.54954544.0994549718.52955962206.5245551.15270.98728945231.175.17435598114146.225.3052916.7559393.812.8922.811851.0786216.634485491156547778078286.715621.697693299.6359435.436418.22347.98327.95744.6124410.31220.44441.27336.533236.27946.60812782728406139611410610148671644685233048169.467186.8548876864615437121492875416245451501724844515772454618.265595.139085.342881582.411604.821608.971283.481293.31302.49141.3653.2179.07114.964.674.935.847268123345465609447818684113749.92595.17266.6444.944106913500056.392907.8826239.621420.143.6631.68539.261643.9661364896.5664320.57880108214.1310134103717.1115.851781.259941952800000198040000020554.74119.65627182708.85854.7011.690551.053962781.4814.72710.126910.5757173233.6412.51519018.344.23028.87540.197617750.448.059819.60.6497830.54575444.2615553618.63971461771.3746111.153560.9386441416.665.15797901114045.295.3262728.3360143.242.92.774151.0790117.7144435041156546940897154.799622.994446280.8639424.996403.75327.88344.792405.88320.504441.32336.587241.2146.62622790928318138231411910188721638285532765168.447186.059418187312977121492775716125491531752885519553454308.277535.159135.391311640.691614.411611.071292.861208.171271.65141.0453.1949.03114.784.654.945.887181703298463605872918300187950.24995.2166.7314.92107480800056.722907.4226239.621420.143.4531.64838.962844.29061379409.4403330.57897108992.189648370917.0374.878231.237561961600000198550000020630.30320.008071982051.23862.0691.655231.20972842.4614.7128.141579.72563170007.9712.54819018.344.25838.91440.154817750.448.940420.040.6363430.55658943.6419557918.50371761565.9446551.156650.98272542004.415.23226213114522.085.3382913.2758218.152.9382.805621.0784118.8886666318511293879223384.309286.680298338.01912119.87691.44304.83179.983.0843213.96527.13230.69193.376187.9186.6267143211461571647301530457848244716939117.151118.60916920819514091126841504115033519013174613077119435015.9719.9366210.31825892.235783.435672.462317.022591.42641.0573.8963.98314.7859.835.645.38.982233172545019935210536425268149.54152.14251.0068.154195720300029.85341.549980.141160.123.422.75366.019671.17832283267.9272210.30689269936.5317879909818.7912.13242.393553543300000389780000041615.22410.9737082217296.34401.6064.519022.708164785.949.04215.807228.4549301386.039.92915662.173.60738.68273.60111576.378.008620.850.8936890.81099279.479600630.127197104820.2450250.6915740.537140661.752.61674809171285.174.7655471.12132179.893.2241.959250.88725527.75887261894031661279.085286.204498352.42311155.76633.08146.18782.7764207.75227.102231.47192.59184.63886.421143301457371587312529456845444816968117.786118.629170074317116671251206507115832117713414822564283421115.99379.9240410.32265932.436037.326065.432409.682385.322137.7873.8263.27814.959.635.736.19.042210202549916958470036285063449.19652.25851.278.188194581700030.315694.5951199.141983.323.4722.59665.802871.27422235287.269340.30621270104.1317668162619.23312.1142.454683528100000389530000040978.29410.9089584214653.83373.1342.685854.884594860.369.46612.681927.81305955.729.80815662.175.25298.54173.569611576.378.483621.360.9141280.82290379.6841605531.024779104001.4551480.6946830.61288140478.022.72302508160137.514.5515394.02133651.553.222.082060.97880725.45116617.04272125517410574263319461.156604.5354342.3647687.975107.26405.98305.5369.9621564.8129.09275.84241.226218.41973.33961750717731870688356425481036254320753144.121148.48715621993586581414360591174253017516057314326546414413.70668.644439.008873478.483541.342945.31379.651336.31237.8587.8669.38113.9170.487.087.749.342586203267425946740228726708651.80362.50968.6355.668101076300036.375175.4123854.122331.527.7126.75457.729165.39861849176.5385730.39356131518.6816196380723.8959.269891.390932793500000300410000019293.5721.928325752332.48520.8332.79882.257432662.310.2239.7646317.0813144536.2311.47831.0665.225311.45357.56529181.2470.998122.53.788490.75124362.7046830924.28906262461.2363550.8657991.620720470.985.6053128287833.844.9344839.157396.813.5543.12910.81320422.10371249317410473406196572.799605.636108316.9897686.245097.33405.45298.54970.0752564.81228.779274.83240.466217.95173.24171752517719879088496445511037254520811143.269148.43115612906185801424361589174453217115597304366526403813.69418.654249.0163639.843748.333645.041331.641349.281348.8687.2669.31513.8870.487.127.689.613132203431398915410728655596151.58662.53669.3045.662101287800035.915016.9123067.72281727.7826.75954.388662.69871857585.1393190.38105134644.4516678436123.6168.616261.364242796100000300320000019241.14621.978029352010.8515.4641.900471.678872653.0910.2623.7471312.0086144402.1611.4928068.3665.127511.30557.31819509.1470.272124.153.769270.71941962.1544820024.03141862466.7264130.8644711.566425401.045.4796509790087.634.9394493.2357684.643.5513.104890.76409721.90416601.80970942817410473509705757.087604.783264316.397693.185109.56407.73305.79369.8913560.00129.212274.08240.563218.51373.1871756417770874688626475511041754420803143.083149.05215801186485851424335588176153517015007364286521409813.70378.638539.053683721.183582.423551.111332.211307.751375.6487.9268.12313.370.36.997.79.673145543420298926339428772639651.31762.53469.1395.662101276500036.195246.8523324.12281727.6726.6457.852561.6051831100.0906010.38004133323.2816448755023.8168.611081.384052805800000300380000019190.55421.846324952138.78518.1352.898822.736922623.9910.41310.3211.8374145863.6911.428068.3665.818511.43657.52649509.1470.519322.623.723250.71781362.4327825124.37141362472.0864120.8617951.5632725634.865.4273929690142.344.9434926.0757597.213.5443.172840.81840326.716604.51666210121356675178.930.38094133859.7021.834824952242.352658.36145564.2962298.8525028.165.5146649790089.604798.5758421.608407.7192478989241156144549128035.96298.410706569.3918999.415691.04401.43227.205121.004296.83936.161151.58159.794205.946125.5749188936145964671340291544228710930126.299106.96328311944554111381455537115945320910855463205949213425.784815.85316.39979412.79161.549321.133157.773617.33290.5246.0791.81620.7836.478.147.5116.4317438721156681475960056574961274.62238.70442.14410.075193531700019.69605.1446648.144663.115.1221.62356.91559.50712570969.4697380.22717255381.330626065125.26428.57083.131622755300000556460000036990.12410.9625998115318.83273.2244.849887.839414533.158.12328.421437.2833294931.7710.0284841.0263.601311.855100.63175220.7171.009516.674.359271.21051109.7328949238.507955118198.6368530.6348420.59109744101.593.16148901138475.315.0249082.371006353.8333.871860.76817926.832509156244158299.900116574.74210475.15653.27154.162121.96636.009152.1156.584204.703125.3759236938945504644342293540728910921122.992108.02929032592753401411112541117045620210075473133855263125.757815.797416.39718850.859222.279154.333103.032877.273085.4146.3592.32520.7236.877.167.6414.2818303821367081414774356730102272.41237.22741.75310.216193508000019.948995.946648.144663.114.9421.63159.704759.11272502769.9928310.22791256845.3529695781525.71628.62323.523282767800000555480000037401.81510.8938484115789.55290.6984.461822.821624629.68.12324.730342.6542286165.1310.135220.7169.933412.21699.98924841.0268.523717.194.982041.23786110.971971641.652442121651.1373450.6239530.85216244763.843.14097595144792.534.8919129.02100404.623.8523.799890.73333926.3462516134241158144374275277.13298.522827512.176138855731.71407.37228.227121.307298.9636.229152.81157.435203.368124.5749129939245654657342291544028810839121.737108.61429210131358021421353543121144720510395462786006271925.821515.776416.4469250.359102.819186.963406.793402.163421.4345.8988.45620.6536.637.047.4313.921887326617731438246657238032774.44937.92641.94910.158193892300019.788940.9646648.144192.914.8521.47457.528960.67492388802.4883360.24500259865.1229230454626.60226.87794.112672777300000555060000037340.88911.0347834115149.32286.5336.894736.6674647.478.05216.580934.048290495.0910.0635433.868.553312.081100.10325023.771.755517.234.35961.22823110.6254859641.198592119239.7267170.6283720.80984146043.483.13548994148188.644.7069099.18102256.363.7363.997920.70420728.62693.29551.76510.1358.5545.08573662817410076866468141.02576.25531345.6868264.015460.79389.67314.60768.6114286.05528.931280.13236.212207.93771.85171736517449864987186385441024154020439135.435141.15115483465190211364812578163853717816547764084567418883.55913.45158.55428.964082939.553190.83113.521334.921377.71286.991.2864.41644.7713.6974.147.27.478.9925421935012151151923527095115948.10461.20458.3847.203105535400037.085016.2435579.132294.828.625.82562.831970.95051930521.341310.37990168138.0716845253620.0279.401561.316112783100000290760000021730.99117.95333190412.97806.4521.979643.03032876.1110.5547.86511.704511.35586.305255503.3810.99119018.370.89178.96561.275320481.278.49126.671.283080.64227466.7166632728.02578664229.853020.8507630.8810153.84739484.124.68098497147678.544.8024912.3461348.243.4163.445450.74463223.74173785017410076300637070.948574.724182340.1758270.025465.16390.74317.47968.6656282.46729.173279.98235.917208.82271.49541734117482864487396355451018953620409134.966141.525153619991112401354783576163753417616796034404639422783.09713.45258.521098.949863303.343055.593103.781448.841308.231316.8191.1363.62345.22713.7574.187.167.499.022521893410022995362927194570147.99561.21758.3977.221105501800037.095413.0635579.132294.828.825.83662.704471.06771936557.56720.37980169685.3217196186819.9939.14591.251172781600000291170000021584.07117.575857290109.52806.4522.473643.089452858.3510.5268.1034.8583614.26696.404256793.7410.92970.74319.04261.300519018.378.261727.011.278050.63798266.1922634229.31560664625.4153480.8514930.8771283.99738411.844.64609003138845.084.785206.7859552.413.4243.448280.7367427.702174100576.6600958288.125484.51314.49968.589929.205280.94235.955207.23371.52861735517460862987456375441024553820509135.165142.24815332120313.44428.557448.941142789.83114.4631291325.851327.561321.2963.78313.6874.257.227.379.0248.64461.29958.647.241105803700037.65172.6635579.132294.828.8525.73862.709770.93451944402.2482150.38091168360.9416340746119.9818.885171.319342783100000290970000021926.30317.979425489545.41806.4522.187722.191362823.110.63711.823510.1679251895.1610.9770.5068.99761.290919018.377.342927.561.275270.63593766.6337635528.57171664305.6553270.8535130.89419737939.564.59810209140678.264.8134980.74594373.4273.446210.74414527.03615589.9573516217410078180523365.994578.174866340.3758268.025474.82392.36315.77168.4376283.63728.443280.08236.407207.80671.32381734817524864487606375451028153920496134.882143.02156656917110501374804570163454114816617424234831414083.52413.43058.562988.918172754.073184.553206.521294.31296.21336.6591.3363.96544.99113.3374.067.347.459.052539333393744989428427262258948.7161.45958.6557.238105599700037.255027.634986.130422.728.8325.8262.744970.93141931492.3796590.38172167500.9716705332819.9499.380581.364612768900000290660000021615.6517.942754789387.25806.4522.649862.942412811.9710.3998.09611.200315.99956.425251099.1810.9919018.370.7428.98861.075120481.278.37727.351.299450.63829966.0282637328.68702863877.6253550.8461120.8886743.92937455.244.69385386161516.724.7885088.4260742.433.4263.436530.74118123.009250158266.37744110900.65405.78140.681122.83236.992147.24155.819194.922127.4488842902144024522331283521628010455115.83101.042859843186094128110847210373442139866052764278287925.577115.793316.44149370.399307.69241.463223.153544.963195.6447.2182.7621.1638.167.437.2616.3123174727167561634950753683105070.28435.74937.99311.033199505600019.6610638.171158.162661.615.4520.61980.142388.33242553700.8711840.22565365014.8529276098924.24526.04753.157932866500000554950000041405.7829.90596008231838.68366.36.71522.693595555.47.9529.00532.5453395792.839.70314013.591.60898.992114.17487607.3195.564417.821.869751.10397126.632690051.086817126947.2960960.6087720.51650925.462.23344111177635.864.8559822.69123313.93.7563.925330.82397830.4062721886249158152256140725.2264.924438541.8569650.516223.09388.65140.837123.039153.56937.026147.76154.766192.331126.9038823900843994516332284521728110461116.607104.545286045569763713478547410653432099856992484288269390.42825.585515.786316.40589050.129019.268990.413206.183278.883341.8147.0182.68149.64821.4638.267.037.815.9221441126561141502709954008522970.00435.9538.08411.054200032600019.5610076.9569972.262661.615.3420.74680.982882.45422558635.3944560.22606367142.3128254678322.86626.07443.466162859400000555020000041270.7599.67508793227563.53377.3584.176917.202135592.568.0059.89513.664832.17338.007412278.569.74312102.593.72529.295114.82779181.2497.494717.981.868771.09275125.9365686948.63868124952.4561880.605120.5622054.831499172.26183891164921.884.9669928.41127123.63.7284.287240.71790227.8582638619251158155962060080.56265.030518529.43710891.96012.84383.71144.015122.832147.74236.587147.35153.756192.3127.4878813906144094520331284520927910425117.504101.7612852026818064129959467108335720510815652534299252125.588815.758416.38849142.788860.99231.693412.543184.753371.3547.1182.2621.0338.057.396.8513.5320846126392341555981854121455971.05435.52137.84810.939200597700020.3610566.4569972.261740.115.3320.75376.407683.13912568218.2985550.22769365482.9730431025421.79625.83993.019832862900000554210000041275.0689.62132263231843.89350.8776.461324.838125539.838.15429.164933.5965403779.749.54914013.596.70069.407114.868110240.695.736517.91.880281.08887125.9546694350.299544127460.4361690.6182950.53364750666.862.21689296169611.94.6389424.98124012.753.7234.006210.71878527.9847468.7992599508250160154004696737.31265.940399515.64611029.46014.43386.04141.843123.048148.07436.555148.65153.906194.083127.3618838902644214523331284522327910432115.828100.17129011425478811301204473107635421710006982654308308090.53725.551415.712716.44029433.59243.519218.753377.993216.633241.0946.7379.72749.72821.0238.047.47.1815.9922152526314241665485653697250471.42235.44737.59911.001199555300019.5410448.7969972.262661.615.3220.7976.170781.54062684188.4523980.22268369275.6629923582621.25926.16383.695432938300000557800000041365.8269.75473404232552.16324.6757.54947.424895574.737.8859.6138.6247731.34538.353391750.989.60412102.597.60779.905115.147410240.6100.204718.761.915531.1113127.8226700050.703839128667.562070.609750.5360174.88748761.192.25024605175816.244.5519326.56121817.63.6854.207940.76126728.698247158265.08166511428.85624.35143.891122.57636.464152.933192.306126.5438830901244044515329284523127910448119.25499.98929161083125.509315.722116.45739006.589228.218660.233258.443355.723327.2781.23921.0237.737.877.113.9270.5235.03638.5910.929199861900019.699272.7969972.262661.615.421.14279.348783.80832631038.0267210.22442353127.0229406873121.23125.75613.154042926700000558820000041120.9479.70930958230282.3370.377.111698.525508.497.96425.218132.3156403464.979.57912102.595.83929.524115.352810240.6101.689718.051.84640.965079127.8424679649.74942128599.9455870.6122460.50074248800.512.39420104174418.874.34210621.59123414.123.6744.233770.76130528.881OpenBenchmarking.org

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 7763AMD 77637773X AMD2 x AMD EPYC 75F3 32-CoreEPYC 7763 2P7773X 2P AMD4K8K12K16K20K16617.0416601.8115589.959589.908407.727468.801. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.2VGR Performance MetricAMD EPYC 7373XEPYC 7573XAMD 7763EPYC 7763 1PEPYC 77637773X AMD7773X 1PEPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2PAMD 7763 2P7763 2P7773X 2P AMDAMD 7773X 2PAMD EPYC 7773X 2P600K1200K1800K2400K3000K4435044485497094287124937212557351627366287378508629108666638726182478989250915625161342599508263861927218861. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

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 1.0Benchmark: vklBenchmark ISPCEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7763EPYC 7763 1PAMD 77637773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 75F3 2P AEPYC 7573X 2PEPYC 7763 2P7763 2PAMD 7763 2PQAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMDAMD 7773X 2P50100150200250115115116174174174174174174174181185241241244247249250250251

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark Scalar7573X 1P AEPYC 7573XAMD EPYC 7373X7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7763 1PAMD 7763EPYC 7763EPYC 75F3 2P AEPYC 7573X 2PEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2PQ7773X 2P AMD4080120160200656565100100100100104104105112112156158158158158158158160

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputAMD EPYC 7373XEPYC 7573XEPYC 7763 1PAMD 7763EPYC 7763EPYC 7773X7773X 1P7773X AMDEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A7763 2PEPYC 7763 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2P30000M60000M90000M120000M150000M46940897154.8047778078286.7273406196572.8073509705757.0974263319461.1676300637070.9576866468141.0278180523365.9993879223384.3194031661279.0997170984286.68144374275277.13144549128035.96152256140725.20154004696737.31155962060080.56

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763 1PAMD 7763EPYC 7763AMD EPYC 77637773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 75F3 2P AAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7573X 2P7573X 2P AMDEPYC 7773X 2P7773X 2P AMDQAMD 7773X 2PAMD EPYC 7773X 2P130260390520650SE +/- 0.15, N = 3622.99621.70620.27605.64604.78604.54604.52578.17576.66576.26574.72318.38299.90298.52298.41286.68286.20266.38265.94265.08265.03264.921. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorAMD 7763 2PEPYC 7763 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD7763 2P7573X 2P AMD7773X 1PEPYC 77637773X AMDEPYC 7773XEPYC 7573X 2PEPYC 7763 1PAMD 7763EPYC 7573XAMD EPYC 7373XEPYC 75F3 2P A120240360480600574.74569.39541.86529.44515.65512.18352.42345.69342.36340.38340.18338.02316.99316.39299.64280.86253.96

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingEPYC 7763 1PEPYC 7763AMD 77637773X 1P7773X AMDEPYC 7773XAMD EPYC 7773XEPYC 7763 2P7573X 1P AAMD EPYC 7373XEPYC 7573XAMD EPYC 7773X 2PAMD 7763 2PAMD 7773X 2PEPYC 7773X 2P7773X 2P AMD7573X 2P AMDQEPYC 7573X 2P7763 2PEPYC 75F3 2P A3K6K9K12K15K7686.247687.977693.188264.018268.028270.028288.128999.419424.999424.999435.439650.5110475.1010891.9010900.6011029.4011155.7011428.8012119.8013885.0014664.701. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 7763 1PEPYC 7763AMD 7763EPYC 7773X 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773XQAMD 7763 2PEPYC 7763 2P7763 2PAMD 7773X 2P7773X 2P AMDAMD EPYC 7773X 2P7573X 1P AAMD EPYC 7373XEPYC 7573X7573X 2P AMDEPYC 75F3 2P AEPYC 7573X 2P160032004800640080005097.335107.265109.565405.785460.795465.165474.825484.515624.355653.275691.045731.716012.846014.436223.096403.756403.756418.226633.086698.267691.441. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 7.0Input: AUSURF112AMD 77637763 2PEPYC 7763EPYC 7763 1PEPYC 7763 2P7773X AMDEPYC 7773X7773X 1PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PEPYC 7573X2 x AMD EPYC 75F3 32-CoreEPYC 7573X 2P90180270360450407.73407.37405.98405.45401.43392.36390.74389.67388.65386.04383.71347.98323.26304.831. (F9X) gfortran options: -pthread -fopenmp -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3_omp -lfftw3 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/pathtracer/real_timeEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDQAMD 7773X 2P7573X 2P AMDAMD 7763 2PEPYC 7573X 2PEPYC 7763 2P7763 2PEPYC 75F3 2P AEPYC 7763 1PEPYC 7763AMD 7763AMD EPYC 7773X7773X 1P7773X AMDEPYC 7773X7573X 1P AAMD EPYC 7373XEPYC 7573X70140210280350140.68140.84141.84143.89144.02146.19154.16179.90227.21228.23266.92298.55305.53305.79314.50314.61315.77317.48325.93327.88327.96

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/scivis/real_timeEPYC 7573X7573X 1P AAMD EPYC 7373X7773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XAMD 7763EPYC 7763EPYC 7763 1P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2PQEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2P7773X 2P AMD30609012015044.6144.7744.7968.4468.5968.6168.6769.8969.9670.0882.7883.0885.21121.00121.31121.97122.58122.83122.83123.04123.05

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 7763 1PEPYC 7763AMD 7763EPYC 7573XAMD EPYC 7373X7763 2PEPYC 7763 2P7773X 1P7773X AMDEPYC 7773X2 x AMD EPYC 75F3 32-CoreEPYC 7573X 2P7573X 2P AMDAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2P120240360480600564.81564.81560.00410.31405.88298.96296.84286.06283.64282.47232.20213.97207.75153.57148.07147.741. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi

Test: Basic - Device: CPU

EPYC 75F3 2P A: The test quit with a non-zero exit status. E: MPI_ABORT was invoked on rank 14 in communicator MPI_COMM_WORLD

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms7573X 1P AEPYC 7573XAMD EPYC 7373X7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7773X AMDEPYC 7763 1P7773X 1PEPYC 7763EPYC 7773XAMD EPYC 7773XAMD 7763AMD 7763 2PEPYC 7763 2P7763 2PQ7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2P91827364520.3420.4420.5027.1027.1328.2828.4428.7828.9329.0929.1729.2129.2136.0136.1636.2336.4636.5636.5936.9937.031. (CXX) g++ options: -O3 -lm

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: CPU-OnlyAMD EPYC 7373XEPYC 7573XAMD EPYC 7773X7773X 1P7773X AMDEPYC 7773XEPYC 7763EPYC 7763 1PAMD 7763EPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2P7763 2PAMD 7763 2PEPYC 7763 2P7773X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2P100200300400500441.32441.27280.94280.13280.08279.98275.84274.83274.08236.80231.47230.69152.81152.10151.58148.65147.76147.35147.24

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 5.16Build: allmodconfigAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763AMD 7763EPYC 7763 1P7773X AMD7773X 1PAMD EPYC 7773XEPYC 7773XEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2PEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PQ70140210280350336.59336.53336.43241.23240.56240.47236.41236.21235.96235.92193.38192.59186.73159.79157.44156.58155.82154.77153.91153.76152.93

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesAMD EPYC 7373X7573X 1P AEPYC 7573XAMD 7763EPYC 7763EPYC 7763 1PEPYC 7773X7773X 1P7773X AMDAMD EPYC 7773XEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7773X 2P7773X 2P AMDAMD EPYC 7773X 2PQAMD 7773X 2PEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A50100150200250241.21240.82236.28218.51218.42217.95208.82207.94207.81207.23205.95204.70203.37194.92194.08192.33192.31192.30187.91184.64171.85

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/ao/real_timeEPYC 7573XAMD EPYC 7373X7573X 1P A7773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PAMD 7763EPYC 7763 1PEPYC 77637573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7763 2PAMD 7763 2PEPYC 7763 2PQAMD EPYC 7773X 2P7773X 2P AMDEPYC 7773X 2PAMD 7773X 2P30609012015046.6146.6346.6571.3271.5071.5371.8573.1973.2473.3486.4286.6388.98124.57125.38125.57126.54126.90127.36127.45127.49

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer7573X 1P AAMD EPYC 7373XEPYC 7573XAMD 7763EPYC 7763 1PEPYC 77637773X 1PAMD EPYC 7773X7773X AMDEPYC 7773XEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PAMD 7763 2PEPYC 7763 2P7763 2PEPYC 7773X 2P7773X 2P AMDQAMD EPYC 7773X 2PAMD 7773X 2P6K12K18K24K30K27932279092782717564175251750717365173551734817341147801433014321923691889129884288388830882388131. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7573XAMD EPYC 7373X7573X 1P AAMD 7763EPYC 7763EPYC 7763 1P7773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMD7763 2PAMD 7763 2PEPYC 7763 2PAMD 7773X 2P7773X 2P AMDEPYC 7773X 2PQAMD EPYC 7773X 2P6K12K18K24K30K28406283182831517770177311771917524174821746017449152591461514573939293899361906190269021901290081. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 7763 1PAMD 7763EPYC 77637773X 1P7773X AMDEPYC 7773XAMD EPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2P7773X 2P AMDAMD 7773X 2PQEPYC 7773X 2PAMD EPYC 7773X 2P3K6K9K12K15K1396113892138238790874687068649864486448629740771647158459645654550442144094404440243991. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAMD EPYC 7373XEPYC 7573X7573X 1P AAMD 7763EPYC 7763 1PEPYC 77637773X AMDAMD EPYC 7773XEPYC 7773X7773X 1PEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PEPYC 7763 2P7763 2PAMD 7763 2P7773X 2P AMDEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2PQ3K6K9K12K15K1411914106140318862884988358760874587398718757573127301467146574644452345224520451645151. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer7573X 1P AAMD EPYC 7373XEPYC 7573XAMD 7763EPYC 7763 1PEPYC 77637773X 1P7773X AMDAMD EPYC 7773XEPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMD7763 2PAMD 7763 2PEPYC 7763 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PQ20040060080010001021101810146476446426386376376355565305293423423403323313313313291. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer7573X 1P AAMD EPYC 7373XEPYC 7573XAMD 7763EPYC 7763 1PEPYC 77637773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDAMD 7763 2P7763 2PEPYC 7763 2PQ7773X 2P AMDAMD 7773X 2PAMD EPYC 7773X 2PEPYC 7773X 2P20040060080010008738728675515515485455455445444774574562932912912842842842842831. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7573X7573X 1P AAMD EPYC 7373XAMD 7763EPYC 7763 1PEPYC 77637773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2PQ7773X 2P AMDAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2P4K8K12K16K20K16446164211638210417103721036210281102451024110189883784828454544254405407523152235217521652091. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer7573X 1P AAMD EPYC 7373XEPYC 7573XEPYC 7763 1PAMD 7763EPYC 77637773X 1P7773X AMDAMD EPYC 7773XEPYC 7773XEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PAMD 7763 2P7763 2PEPYC 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PQ7773X 2P AMDAMD 7773X 2P20040060080010008578558525455445435405395385364674484472892882872812802792792791. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 7763 1PAMD 7763EPYC 7763AMD EPYC 7773X7773X AMD7773X 1PEPYC 7773XEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PEPYC 7763 2PAMD 7763 2P7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PQ7773X 2P AMDAMD 7773X 2P7K14K21K28K35K3304833000327652081120803207532050920496204392040917705169681693910930109211083910461104551044810432104251. (CXX) g++ options: -O3 -lm -ldl

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 17.3Time To CompileEPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 7763EPYC 7763 1PAMD 77637773X 1PAMD EPYC 7773XEPYC 7773X7773X AMDEPYC 7763 2PAMD 7763 2P7763 2PQ7573X 2P AMDAMD 7773X 2PEPYC 7573X 2PAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMDEPYC 75F3 2P A4080120160200169.47168.93168.45144.12143.27143.08135.44135.17134.97134.88126.30122.99121.74119.25117.79117.50117.15116.61115.83115.83110.64

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaEPYC 7573X7573X 1P AAMD EPYC 7373XAMD 7763EPYC 7763EPYC 7763 1P7773X AMDAMD EPYC 7773XEPYC 7773X7773X 1P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7763 2PAMD 7763 2PEPYC 7763 2PAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2P7773X 2P AMDQ4080120160200186.85186.19186.05149.05148.49148.43143.02142.25141.53141.15118.63118.61115.72108.61108.03106.96104.55101.76101.04100.1799.99

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7573X7573X 1P AAMD EPYC 7373XAMD EPYC 7773XEPYC 7773X7773X 1PEPYC 7763 1PEPYC 77637773X AMDAMD 7763EPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AEPYC 7763 2PAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7763 2PQ7763 2P60M120M180M240M300M887686468916734394181873153321203153619991154834651156129061156219935156656917158011864169208195170074317181975937283119445285202681285984318286045569290114254290325927291610831292101313

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardEPYC 75F3 2P AAMD 7763 2PEPYC 7763 2P7763 2PEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PEPYC 7763 1PAMD 7763EPYC 77637773X 1P7773X AMDEPYC 7773X7573X 2P AMDAMD EPYC 7373XEPYC 7573X 2PEPYC 7573X3K6K9K12K15K3126534054115802609476377881806485808585865890211105011240116671297714091154371. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelEPYC 7573XAMD EPYC 7373X7573X 2P AMDEPYC 7573X 2PEPYC 7773X 2PAMD 7773X 2PEPYC 75F3 2P A7773X 2P AMDAMD EPYC 7773X 2PEPYC 7773X7773X 1P7773X AMDEPYC 7763 2PEPYC 7763AMD 7763 2PEPYC 7763 1PAMD 77637763 2P3060901201501211211251261281291301301341351361371381411411421421421. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelAMD EPYC 7773X 2PEPYC 7573X 2PAMD 7773X 2PEPYC 7773X 2PAMD 7763 2P7773X 2P AMD7573X 2P AMDEPYC 75F3 2P A7763 2PEPYC 7763 2PAMD 7763EPYC 7763EPYC 7763 1PEPYC 7773X7773X AMD7773X 1PAMD EPYC 7373XEPYC 7573X110022003300440055007858419591108111212041206128813531455433543604361478348044812492749281. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelAMD 7773X 2PEPYC 7773X 2P7773X 2P AMDAMD EPYC 7773X 2PEPYC 7573X 2P7573X 2P AMDEPYC 7763 2PAMD 7763 2P7763 2P7773X AMDEPYC 7773X7773X 1PEPYC 75F3 2P AAMD 7763EPYC 7763 1PEPYC 7763EPYC 7573XAMD EPYC 7373X1603204806408004674724734745045075375415435705765785815885895917547571. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PEPYC 7573X 2P7573X 2P AMDEPYC 7763 2PAMD 7763 2P7763 2PEPYC 75F3 2P AAMD EPYC 7373XEPYC 7573X7773X AMDEPYC 7773X7773X 1PEPYC 7763EPYC 7763 1PAMD 77634008001200160020001037106510761083115011581159117012111329161216241634163716381742174417611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Parallel7573X 2P AMDEPYC 7573X 2PAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMDAMD 7773X 2P7763 2PEPYC 7763 2PAMD 7763 2PEPYC 75F3 2P AEPYC 7763EPYC 7763 1PEPYC 7773XAMD 77637773X 1P7773X AMDEPYC 7573XAMD EPYC 7373X1202403604806003213353433443543574474534564875305325345355375415455491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Standard7773X AMDEPYC 7573XAMD EPYC 7373XEPYC 75F3 2P AAMD 7763EPYC 7763 1PEPYC 7763EPYC 7773X7573X 2P AMD7773X 1PEPYC 7573X 2PAMD 7763 2P7763 2PAMD 7773X 2PEPYC 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMD501001502002501481501531671701711751761771781902022052052092092132171. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMDAMD 7763 2P7763 2PAMD 7773X 2PEPYC 7763 2PEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDAMD 7763EPYC 7763 1PEPYC 77637773X 1P7773X AMDEPYC 7773XEPYC 7573XAMD EPYC 7373X40080012001600200098598610001007103910811085116513171341150015591605165416611679172417521. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2PAMD 7773X 2PEPYC 7773XEPYC 7773X 2P7773X 2P AMDAMD EPYC 7773X 2PEPYC 7763 1PEPYC 7763AMD 77637773X AMD7773X 1PEPYC 7573XAMD EPYC 7373X20040060080010004244614825465465475656036056986997307317367427768448851. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardAMD EPYC 7773X 2PAMD 7773X 2P7573X 2P AMD7773X 2P AMDEPYC 7773X 2P7763 2PEPYC 75F3 2P AEPYC 7573X 2PAMD 7763 2PEPYC 7763 2P7773X 1P7773X AMDAMD 7763EPYC 7763EPYC 7763 1PEPYC 7773XEPYC 7573XAMD EPYC 7373X1102203304405502482532562652762783053073133204084234284324364405155191. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardEPYC 75F3 2P AAMD 7763 2PEPYC 7773X 2P7573X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD7773X 1PEPYC 7773X7773X AMDAMD EPYC 7373XEPYC 7763 2P7763 2PAMD 7763EPYC 7763 1PEPYC 7763EPYC 7573X 2PEPYC 7573X170034005100680085001834385542784283428842994308456746394831553459496006652165266546711977241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelEPYC 7763 2PAMD 7773X 2PAMD 7763 2PAMD EPYC 7773X 2P7763 2PEPYC 7773X 2P7773X 2P AMDEPYC 75F3 2P AEPYC 7763 1PAMD 77637773X AMDEPYC 77637773X 1P7573X 2P AMDEPYC 7773XEPYC 7573X 2PAMD EPYC 7373XEPYC 7573X120024003600480060002134252126312693271928793080402840384098414041444188421142274350543054611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 07763 TwoP7773X 2P AMDAMD EPYC 7773X 2P7773X 1P7773X AMDEPYC 7773X20406080100SE +/- 0.12, N = 393.3090.5490.4383.5683.5283.101. (CXX) g++ options: -O3 -fPIC -lm

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time7573X 1P AEPYC 7573XAMD EPYC 7373X7773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 7763 1PAMD 7763EPYC 7763EPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AQ7773X 2P AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2PAMD 7763 2PEPYC 7763 2P7763 2P6121824308.264868.265598.2775313.4305013.4442013.4515013.4525013.6941013.7037013.7066015.9710015.9937016.3167025.5093025.5514025.5771025.5855025.5888025.7578025.7848025.82150

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7773X7773X 1PAMD EPYC 7773X7773X AMDAMD 7763EPYC 7763EPYC 7763 1P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7773X 2P AMDQAMD 7773X 2P7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7763 2PEPYC 7763 2P481216205.139085.159135.165278.521098.554208.557448.562988.638538.644438.654249.924049.936629.9584415.7127015.7221015.7584015.7764015.7863015.7933015.7974015.85300

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 7573XAMD EPYC 7373X7573X 1P A7773X AMDAMD EPYC 7773XEPYC 7773X7773X 1PEPYC 7763EPYC 7763 1PAMD 7763EPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AAMD 7773X 2PAMD 7763 2PEPYC 7763 2PAMD EPYC 7773X 2P7773X 2P AMDEPYC 7773X 2P7763 2PQ481216205.342885.391315.398768.918178.941148.949868.964089.008879.016009.0536810.3182010.3226010.3982016.3884016.3971016.3997016.4058016.4402016.4414016.4460016.45730

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU7773X 2P AMDEPYC 7763 2PEPYC 7773X 2P7763 2PAMD 7773X 2PAMD EPYC 7773X 2PQAMD 7763 2P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AAMD 7763EPYC 7763 1PEPYC 7763EPYC 7773X7773X 1PAMD EPYC 7773X7773X AMDAMD EPYC 7373XEPYC 7573X7573X 1P A2K4K6K8K10K9433.509412.709370.399250.359142.789050.129006.588850.855932.435892.234427.463721.183639.843478.483303.342939.552789.802754.071640.691582.411581.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7773X 2P7773X 2P AMDQAMD 7763 2PEPYC 7763 2P7763 2PAMD EPYC 7773X 2PAMD 7773X 2P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 1PAMD 7763EPYC 77637773X 1P7773X AMDAMD EPYC 7773XEPYC 7773XAMD EPYC 7373XEPYC 7573X7573X 1P A2K4K6K8K10K9307.609243.519228.219222.279161.549102.819019.268860.906037.325783.434440.273748.333582.423541.343190.803184.553114.463055.591614.411604.821588.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7763 2PEPYC 7773X 2PAMD 7773X 2P7773X 2P AMD7763 2PAMD 7763 2PAMD EPYC 7773X 2PQ7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 1PAMD 77637773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 77637573X 1P AAMD EPYC 7373XEPYC 7573X2K4K6K8K10K9321.139241.469231.699218.759186.969154.338990.418660.236065.435672.464517.633645.043551.113206.523129.003113.523103.782945.301617.481611.071608.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD 7773X 2P7763 2P7773X 2P AMDQEPYC 7773X 2PAMD EPYC 7773X 2PEPYC 7763 2PAMD 7763 2P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7773XEPYC 77637773X 1PAMD 7763EPYC 7763 1PAMD EPYC 7773X7773X AMDAMD EPYC 7373XEPYC 7573X7573X 1P A70014002100280035003412.543406.793377.993258.443223.153206.183157.773103.032409.682317.021765.011448.841379.651334.921332.211331.641325.851294.301292.861283.481273.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7763 2PEPYC 7773X 2P7763 2PQAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PAMD 7763 2PEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A7773X 1PEPYC 7763 1PEPYC 7763AMD EPYC 7773XEPYC 7773XAMD 77637773X AMDEPYC 7573X7573X 1P AAMD EPYC 7373X80016002400320040003617.303544.963402.163355.723278.883216.633184.752877.272591.402385.321841.591377.701349.281336.301327.561308.231307.751296.201293.301251.431208.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU7763 2PAMD 7773X 2PAMD EPYC 7773X 2PQEPYC 7763 2P7773X 2P AMDEPYC 7773X 2PAMD 7763 2PEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AAMD 7763EPYC 7763 1P7773X AMDAMD EPYC 7773XEPYC 7773XEPYC 7573X7773X 1P7573X 1P AAMD EPYC 7373XEPYC 776370014002100280035003421.433371.353341.813327.273290.523241.093195.643085.412641.052137.781797.021375.641348.861336.651321.291316.811302.491286.901275.661271.651237.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7573XAMD EPYC 7373X7773X AMD7773X 1PEPYC 7773XAMD 7763EPYC 7763EPYC 7763 1PEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7763 2PEPYC 7763 2P7763 2P306090120150141.36141.0491.3391.2891.1387.9287.8687.2673.8973.8272.2647.2147.1147.0146.7346.3546.0745.89

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.2Time To CompileAMD 7763 2PEPYC 7763 2P7763 2PEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2PQ7773X 2P AMDEPYC 7763EPYC 7763 1PAMD 77637773X 1PEPYC 7573X 2P7773X AMDAMD EPYC 7773XEPYC 7773X7573X 2P AMDEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 75F3 2P A2040608010092.3391.8288.4682.7682.6882.2681.2479.7369.3869.3268.1264.4263.9863.9763.7863.6263.2853.2253.1953.0850.131. (CC) gcc options: -m64 -ldl -lxkbcommon -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 27763 TwoP7773X 2P AMDAMD EPYC 7773X 2PEPYC 7773X7773X AMD7773X 1P1224364860SE +/- 0.46, N = 351.7749.7349.6545.2344.9944.771. (CXX) g++ options: -O3 -fPIC -lm

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPU7573X 1P AAMD EPYC 7373XEPYC 7573XAMD 77637773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 7763 1PEPYC 7763EPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A7763 2PAMD 7763 2PEPYC 7763 2P7773X 2P AMDQAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2P5101520259.029.039.0713.3013.3313.6813.6913.7513.8813.9114.7814.9015.4820.6520.7220.7821.0221.0221.0321.1621.46

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: CPU-OnlyEPYC 7573X7573X 1P AAMD EPYC 7373XAMD EPYC 7773XEPYC 7773X7773X 1P7773X AMDEPYC 7763 1PEPYC 7763AMD 7763EPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQAMD 7763 2P7763 2PEPYC 7763 2P306090120150114.96114.85114.7874.2574.1874.1474.0670.4870.4870.3059.8359.6358.0438.2638.1638.0538.0437.7336.8736.6336.47

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AAMD 7763AMD EPYC 7773X 2P7763 2PEPYC 7763EPYC 7763 1PAMD 7763 2PEPYC 7773X7773X 1PAMD EPYC 7773X7773X AMDAMD 7773X 2P7773X 2P AMDEPYC 7773X 2PQEPYC 7763 2P2468104.654.674.675.645.736.436.997.037.047.087.127.167.167.207.227.347.397.407.437.878.14

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPU7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2PEPYC 75F3 2P A7573X 2P AMDAMD 7773X 2PQ7773X 2P AMDEPYC 7773X 2PAMD EPYC 7773X7763 2P7773X AMD7773X 1PEPYC 7773XEPYC 7763 2PAMD 7763 2PEPYC 7763 1PAMD 7763EPYC 7763AMD EPYC 7773X 2P2468104.914.934.945.305.826.106.857.107.187.267.377.437.457.477.497.517.647.687.707.747.80

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7573X 2P7773X 1PEPYC 7773XAMD EPYC 7773X7573X 2P AMD7773X AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 75F3 2P AAMD 7773X 2P7763 2PQAMD 7763 2PAMD EPYC 7773X 2P7773X 2P AMDEPYC 7773X 2PEPYC 7763 2P481216205.845.885.968.988.999.029.029.049.059.349.619.6710.2313.5313.9013.9214.2815.9215.9916.3116.43

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Update RandomEPYC 7763 2PAMD 7763 2PAMD 7773X 2PAMD EPYC 7773X 2P7763 2P7573X 2P AMD7773X 2P AMDEPYC 7573X 2PEPYC 7773X 2PEPYC 7773X7773X AMD7773X 1PEPYC 7763EPYC 75F3 2P AEPYC 7763 1PAMD 7763AMD EPYC 7373XEPYC 7573X160K320K480K640K800K1743871830382084612144112188732210202215252233172317472521892539332542192586202880273132203145547181707268121. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read Random Write RandomEPYC 7763 2PAMD 7763 2PEPYC 7573X 2P7573X 2P AMD7773X 2P AMDAMD 7773X 2PAMD EPYC 7773X 2P7763 2PEPYC 7773X 2PEPYC 75F3 2P AEPYC 7763AMD EPYC 7373XEPYC 7573X7773X AMDEPYC 7773XAMD 7763EPYC 7763 1P7773X 1P700K1400K2100K2800K3500K2115668213670825450192549916263142426392342656114266177327167563101945326742532984633345465339374434100223420298343139835012151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read While WritingAMD EPYC 7373XEPYC 7573XEPYC 75F3 2P AEPYC 7763 1PAMD 7763EPYC 7573X 2PEPYC 77637573X 2P AMD7773X AMDEPYC 7773X7773X 1PAMD 7763 2P7763 2PEPYC 7763 2PAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2P7773X 2P AMD4M8M12M16M20M605872960944788132362915410792633949352105946740295847009894284995362911519235141477431438246614759600150270991555981816349507166548561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Random ReadAMD EPYC 7373XEPYC 7573X7773X 1PEPYC 7773X7773X AMDEPYC 7763 1PEPYC 7763AMD 77637573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7773X 2P7773X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7763 2PAMD 7763 2P7763 2P120M240M360M480M600M1830018791868411372709511592719457012726225892865559612872670862877263963628506343642526813836921705368310505369725045400852295412145595657496125673010225723803271. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7763 2P7763 2PAMD 7763 2P7773X 2P AMDAMD 7773X 2PQEPYC 7773X 2PAMD EPYC 7773X 2PEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7573X 2P7573X 2P AMD7773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 75F3 2P A2040608010074.6274.4572.4171.4271.0570.5270.2870.0051.8051.5951.3250.2550.1449.9349.5449.2048.7148.6448.1048.0044.17

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19AMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763 1PAMD 7763EPYC 77637773X AMDAMD EPYC 7773XEPYC 7773X7773X 1P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010095.2195.1795.1462.5462.5362.5161.4661.3061.2261.2052.2652.1450.2038.7037.9337.2335.9535.7535.5235.4535.04

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 NanotubeEPYC 7763 1PAMD 7763EPYC 7763AMD EPYC 7373XEPYC 7573X7573X 1P A7773X AMDAMD EPYC 7773XEPYC 7773X7773X 1PEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PEPYC 7763 2P7763 2PAMD 7763 2PQAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2P7773X 2P AMD153045607569.3069.1468.6466.7366.6466.4758.6658.6458.4058.3855.3451.2751.0142.1441.9541.7538.5938.0837.9937.8537.601. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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 2021.2Implementation: MPI CPU - Input: water_GMX50_bareAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763 1PAMD 7763EPYC 77637773X 1PEPYC 7773X7773X AMDAMD EPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2PQAMD 7773X 2P7773X 2P AMDEPYC 7773X 2PAMD EPYC 7773X 2P36912154.9204.9444.9495.6625.6625.6687.2037.2217.2387.2417.2608.1548.18810.07510.15810.21610.92910.93911.00111.03311.0541. (CXX) g++ options: -O3

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7763AMD EPYC 7763AMD 7763EPYC 7763 1PEPYC 7773X7773X 1P7773X AMDAMD EPYC 7773XEPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 75F3 2P AAMD 7763 2PEPYC 7763 2P7763 2P7573X 2P AMDEPYC 7573X 2PEPYC 7773X 2P7773X 2P AMDQAMD EPYC 7773X 2PAMD 7773X 2P400M800M1200M1600M2000MSE +/- 460049.76, N = 310107630001012135667101276500010128780001055018000105535400010559970001058037000106913500010694310001074808000191254800019350800001935317000193892300019458170001957203000199505600019955530001998619000200032600020059770001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CPU-OnlyAMD EPYC 7373X7573X 1P AEPYC 7573XAMD EPYC 7773X7773X AMDEPYC 7773X7773X 1PEPYC 7763AMD 7763EPYC 7763 1P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AAMD 7773X 2PAMD 7763 2P7763 2PQEPYC 7773X 2PEPYC 7763 2PAMD EPYC 7773X 2P7773X 2P AMD132639526556.7256.5456.3937.6037.2537.0937.0836.3736.1935.9130.3129.8029.7520.3619.9419.7819.6919.6619.6019.5619.54

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DAMD EPYC 7373XEPYC 7573X7573X 1P A7773X 1PEPYC 7763 1P7773X AMDAMD EPYC 7773XEPYC 7763AMD EPYC 7763AMD 7763EPYC 7573X 2PEPYC 7773XEPYC 75F3 2P A7573X 2P AMD7763 2PAMD 7763 2PQEPYC 7763 2PAMD EPYC 7773X 2P7773X 2P AMDAMD 7773X 2PEPYC 7773X 2P2K4K6K8K10KSE +/- 44.84, N = 72907.422907.882916.945016.245016.915027.605172.665175.415178.935246.855341.505413.065497.435694.598940.968995.909272.799605.1410076.9510448.7910566.4510638.101. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7763 1PAMD 7763EPYC 77637573X 1P AEPYC 7573XAMD EPYC 7373X7773X AMD7773X 1PEPYC 7773XAMD EPYC 7773XEPYC 75F3 2P AEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7573X 2P7573X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQEPYC 7773X 2P15K30K45K60K75K23067.723324.123854.124990.126239.626239.634986.135579.135579.135579.144663.146648.146648.146648.149980.151199.169972.269972.269972.269972.271158.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7763EPYC 7763 1PAMD 77637773X AMD7773X 1PEPYC 7773XAMD EPYC 7773XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMD7763 2PEPYC 7763 2PAMD 7763 2PAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDQ13K26K39K52K65K20580.021420.121420.122331.522817.022817.030422.732294.832294.832294.841160.141160.141983.344192.944663.144663.161740.162661.662661.662661.662661.61. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: BMW27 - Compute: CPU-OnlyEPYC 7573X7573X 1P AAMD EPYC 7373XAMD EPYC 7773X7773X AMDEPYC 7773X7773X 1PEPYC 7763 1PEPYC 7763AMD 77637573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7773X 2PQAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDEPYC 7763 2PAMD 7763 2P7763 2P102030405043.6643.5943.4528.8528.8328.8028.6027.7827.7127.6723.4723.4022.5815.4515.4015.3415.3315.3215.1214.9414.85

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 5.16Build: defconfigEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7763 1PEPYC 7763AMD 7763EPYC 7773X7773X 1P7773X AMDAMD EPYC 7773XEPYC 7573X 2P7573X 2P AMDAMD 7763 2PEPYC 7763 2P7763 2PQEPYC 75F3 2P A7773X 2P AMDAMD 7773X 2PAMD EPYC 7773X 2PEPYC 7773X 2P71421283531.6931.6531.6026.7626.7526.6425.8425.8325.8225.7422.7522.6021.6321.6221.4721.1420.8820.7920.7520.7520.62

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: Asian Dragon ObjAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7763 1PEPYC 75F3 2P AEPYC 7763 2P7763 2PEPYC 7763AMD 7763AMD 7763 2PEPYC 7773XAMD EPYC 7773X7773X AMD7773X 1P7573X 2P AMDEPYC 7573X 2P7773X 2P AMDAMD 7773X 2PQEPYC 7773X 2PAMD EPYC 7773X 2P2040608010038.9639.1839.2654.3955.8856.9257.5357.7357.8559.7062.7062.7162.7462.8365.8066.0276.1776.4179.3580.1480.98

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7573X7573X 1P AAMD EPYC 7373XAMD 7763 2PEPYC 7763 2PEPYC 75F3 2P A7763 2PAMD 7763EPYC 7763 1PEPYC 77637773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 7573X 2P7573X 2P AMD7773X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2PQEPYC 7773X 2P2040608010043.9744.2444.2959.1159.5159.7560.6761.6162.7065.4070.9370.9370.9571.0771.1871.2781.5482.4583.1483.8188.33

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second7573X 1P AEPYC 7573XAMD EPYC 7373XAMD 7763EPYC 7763EPYC 7763 1P7773X 1P7773X AMDEPYC 7773XAMD EPYC 7773X7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7763 2PAMD 7763 2PEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7763 2PQ7773X 2P AMD600K1200K1800K2400K3000K1357754.051364896.571379409.441831100.091849176.541857585.141930521.341931492.381936557.571944402.252235287.272283267.932304553.092388802.492502769.992553700.872558635.392568218.302570969.472631038.032684188.451. (CC) gcc options: -O2 -lrt" -lrt

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 AtomsAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 77637773X AMDEPYC 7763 1PAMD EPYC 7763AMD EPYC 7773XAMD 77637773X 1PEPYC 7773XEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A7763 2PAMD 7763 2PAMD 7773X 2PEPYC 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PQ7773X 2P AMD0.13030.26060.39090.52120.6515SE +/- 0.00081, N = 30.578970.578800.576480.393560.381720.381050.380940.380910.380040.379900.379800.306890.306210.305930.245000.227910.227690.227170.226060.225650.224420.22268

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7763AMD 7763AMD EPYC 7763EPYC 7763 1P7773X AMD7773X 1PAMD EPYC 7773XEPYC 7773XEPYC 75F3 2P AEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7573X 2P7573X 2P AMDQEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2P7773X 2P AMD80K160K240K320K400KSE +/- 1317.49, N = 6108214.13108992.18109457.22131518.68133323.28133859.70134644.45167500.97168138.07168360.94169685.32200238.82255381.30256845.35259865.12269936.53270104.13353127.02365014.85365482.97367142.31369275.661. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7763AMD EPYC 7773XAMD 7763EPYC 7763 1P7773X AMD7773X 1PEPYC 7773X7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AAMD EPYC 7773X 2P7763 2PEPYC 7773X 2PQAMD 7763 2P7773X 2P AMDAMD 7773X 2PEPYC 7763 2P70M140M210M280M350M96483709964887521013410371619638071634074611644875501667843611670533281684525361719618681766816261787990981804241392825467832923045462927609892940687312969578152992358263043102543062606511. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 197763 2PAMD 7763 2PEPYC 7763 2PEPYC 7773X 2PEPYC 7763AMD 7763EPYC 7763 1PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMD7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373X61218243026.6025.7225.2624.2523.9023.8223.6222.8721.8021.2621.2320.0319.9919.9819.9519.2318.7918.7717.2617.1117.04

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD 7763 2PEPYC 7763 2P7763 2P7773X 2P AMDAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2PQEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P A7773X 1P7773X AMDEPYC 7763EPYC 7773XAMD EPYC 7773XEPYC 7763 1PAMD 7763EPYC 7573X7573X 1P AAMD EPYC 7373X71421283528.6232028.5708026.8779026.1638026.0744026.0475025.8399025.7561012.1324012.1140010.234209.401569.380589.269899.145908.885178.616268.611085.851784.970544.878231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU7763 2P7773X 2P AMDAMD 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PQEPYC 7763 2PAMD 7773X 2P7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763AMD 77637773X AMDEPYC 7763 1PAMD EPYC 7773X7773X 1PEPYC 7573XEPYC 7773X7573X 1P AAMD EPYC 7373X0.92541.85082.77623.70164.6274.112673.695433.523283.466163.157933.154043.131623.019832.454682.393552.083241.390931.384051.364611.364241.319341.316111.259941.251171.247041.237561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 7763 2PAMD 7763 2P7773X AMD7763 2PEPYC 7773X7773X 1PAMD EPYC 7773XEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2PQ7773X 2P AMD7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P A800M1600M2400M3200M4000M1952800000195970000019616000002755300000276780000027689000002777300000278160000027831000002783100000279350000027961000002805800000285940000028629000002866500000292670000029383000003528100000354330000036816000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 577573X 1P AEPYC 7573XAMD EPYC 7373X7773X AMD7773X 1PAMD EPYC 7773XEPYC 7773XEPYC 7763 1PAMD 7763EPYC 77637573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2P7763 2PAMD 7763 2PEPYC 7763 2P7773X 2P AMDQ1200M2400M3600M4800M6000M1971900000198040000019855000002906600000290760000029097000002911700000300320000030038000003004100000389530000038978000003997200000554210000055495000005550200000555060000055548000005564600000557800000055882000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AMD 7763EPYC 7763 1PEPYC 7763EPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7773X7773X AMD7773X 1PAMD EPYC 7773XEPYC 7763 2P7763 2PEPYC 75F3 2P AAMD 7763 2P7573X 2P AMDQAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDEPYC 7773X 2PEPYC 7573X 2P9K18K27K36K45K19190.5519241.1519293.5720554.7420630.3020691.4721584.0721615.6521730.9921926.3036990.1237340.8937349.7537401.8240978.2941120.9541270.7641275.0741365.8341405.7841615.221. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 7763 1PEPYC 7763AMD 7763AMD EPYC 7763AMD EPYC 7373X7573X 1P AEPYC 7573XAMD EPYC 7773X7773X 1P7773X AMDEPYC 7773XEPYC 75F3 2P A7763 2PEPYC 7573X 2PEPYC 7763 2P7573X 2P AMDAMD 7763 2PEPYC 7773X 2P7773X 2P AMDQAMD EPYC 7773X 2PAMD 7773X 2P510152025SE +/- 0.07766924, N = 321.9780293021.9283257021.8463249021.8348249020.0080719019.9380283019.6562710017.9794254017.9533310017.9427547017.5758572012.3209553011.0347834010.9737082010.9625998010.9089584010.893848409.905960089.754734049.709309589.675087939.621322631. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763AMD EPYC 7373X7573X 1P AEPYC 7573X7773X AMDAMD EPYC 7773XEPYC 7773X7773X 1PEPYC 75F3 2P A7763 2PEPYC 7763 2PAMD 7763 2P7573X 2P AMDEPYC 7573X 2PAMD EPYC 7773X 2PQEPYC 7773X 2PAMD 7773X 2P7773X 2P AMD50K100K150K200K250KSE +/- 11.35, N = 352010.8052138.7852242.3552332.4882051.2382422.9882708.8589387.2589545.4190109.5290412.97113354.04115149.32115318.83115789.55214653.83217296.34227563.53230282.30231838.68231843.89232552.161. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7763 2P7763 2PAMD 7763 2P7773X 2P AMDAMD 7773X 2PEPYC 75F3 2P AEPYC 7773X 2PQ7573X 2P AMDAMD EPYC 7773X 2PEPYC 7573X 2PEPYC 7763 1PAMD 7763EPYC 77637773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7573X7573X 1P AAMD EPYC 7373X2004006008001000273.22286.53290.70324.68350.88358.42366.30370.37373.13377.36401.61515.46518.14520.83806.45806.45806.45806.45854.70862.07862.071. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU7773X 2P AMDQ7763 2PEPYC 7773X 2PAMD 7773X 2PEPYC 7763 2PEPYC 7573X 2PAMD 7763 2PEPYC 75F3 2P AAMD EPYC 7773X 2PAMD 7763EPYC 77637573X 2P AMD7773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PEPYC 7763 1PEPYC 7573XAMD EPYC 7373X7573X 1P A2468107.549407.111696.894736.715206.461324.849884.519024.461824.367754.176912.898822.798802.685852.649862.473642.187721.979641.900471.690551.655231.596741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUQEPYC 7763 2P7773X 2P AMDAMD EPYC 7773X 2P7763 2P7573X 2P AMDAMD 7773X 2PEPYC 75F3 2P AEPYC 7773X7773X 1P7773X AMDAMD 7763 2PAMD 7763EPYC 7573X 2PEPYC 7773X 2PEPYC 7763AMD EPYC 7773XEPYC 7763 1PAMD EPYC 7373X7573X 1P AEPYC 7573X2468108.520007.839417.424897.202136.667004.884594.838124.742283.089453.030302.942412.821622.736922.708162.693592.257432.191361.678871.209701.125381.053961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD 7763EPYC 7763 1PAMD EPYC 7763EPYC 7763EPYC 7573X7773X AMDAMD EPYC 7773X7573X 1P AAMD EPYC 7373XEPYC 7773X7773X 1PEPYC 75F3 2P AEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7573X 2P7573X 2P AMDQAMD 7773X 2PEPYC 7773X 2P7773X 2P AMDAMD EPYC 7773X 2P12002400360048006000SE +/- 18.89, N = 32623.992653.092658.362662.302781.482811.972823.102828.062842.462858.352876.114381.744533.154629.604647.474785.944860.365508.495539.835555.405574.735592.561. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Time7573X 1P AEPYC 7573XAMD EPYC 7373XAMD EPYC 7773X7773X 1PEPYC 7773XAMD 77637773X AMDEPYC 7763 1PEPYC 77637573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AAMD 7773X 2PAMD 7763 2PEPYC 7763 2P7763 2PAMD EPYC 7773X 2PQEPYC 7773X 2P7773X 2P AMD4812162014.86514.72714.71210.63710.55410.52610.41310.39910.26210.2239.4669.0428.5188.1548.1238.1238.0528.0057.9647.9507.8851. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, Lossless7763 TwoPAMD EPYC 7773X 2P7773X 2P AMDEPYC 7773X7773X AMD7773X 1P3691215SE +/- 0.142, N = 310.1359.8959.6138.1038.0967.8651. (CXX) g++ options: -O3 -fPIC -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAMD 7773X 2PEPYC 7773X 2PEPYC 7763 2PQAMD 7763 2P7763 2PEPYC 7573X 2PEPYC 75F3 2P AAMD EPYC 7773X 2P7573X 2P AMDAMD EPYC 7773X7773X 1P7773X AMDAMD 7763EPYC 7573XEPYC 77637573X 1P A7773X 2P AMDAMD EPYC 7373XEPYC 7773XEPYC 7763 1P71421283529.1649029.0050028.4214025.2181024.7303016.5809015.8072015.7355013.6648012.6819011.8235011.7045011.2003010.3200010.126909.764639.644728.624778.141574.858363.747131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD 7763 2PEPYC 7763 2P7763 2PAMD 7773X 2PEPYC 7773X 2PQAMD EPYC 7773X 2P7773X 2P AMDEPYC 7573X 2P7573X 2P AMDEPYC 75F3 2P AEPYC 77637773X AMDEPYC 7773XEPYC 7763 1PAMD 77637773X 1PEPYC 7573X7573X 1P AAMD EPYC 7773XAMD EPYC 7373X102030405042.6542037.2833034.0480033.5965032.5453032.3156032.1733031.3453028.4549027.8100023.4463017.0813015.9995014.2669012.0086011.8374011.3558010.5757010.5713010.167909.725631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 10, Lossless7763 TwoP7773X 2P AMDAMD EPYC 7773X 2P7773X AMDEPYC 7773X7773X 1P246810SE +/- 0.103, N = 48.5548.3538.0076.4256.4046.3051. (CXX) g++ options: -O3 -fPIC -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7763 1PEPYC 7763AMD EPYC 7763AMD 7763AMD EPYC 7373XEPYC 7573X7573X 1P A7773X AMDAMD EPYC 7773X7773X 1PEPYC 7773XEPYC 75F3 2P AAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7573X 2P7573X 2P AMD7773X 2P AMDEPYC 7773X 2PQAMD 7773X 2PAMD EPYC 7773X 2P90K180K270K360K450KSE +/- 585.85, N = 3144402.16144536.23145564.29145863.69170007.97173233.64174334.81251099.18251895.16255503.38256793.74272016.08286165.13290495.09294931.77301386.03305955.72391750.98395792.83403464.97403779.74412278.561. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7763 1PAMD 7763EPYC 77637773X 1P7773X AMDAMD EPYC 7773XEPYC 7773XAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7573X 2P7573X 2P AMDAMD EPYC 7773X 2PEPYC 7773X 2P7773X 2P AMDQAMD 7773X 2PEPYC 75F3 2P A369121512.54812.52612.51511.49211.42011.40010.99110.99010.97010.92910.13010.06310.0289.9299.8089.7439.7039.6049.5799.5498.969

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7763 2PAMD 7763 2P7763 2PEPYC 75F3 2P AEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7773X 2P7773X 2P AMDQEPYC 7773X 2PAMD 7773X 2PEPYC 7573X 2P7573X 2P AMD7573X 1P AEPYC 7573XAMD EPYC 7373X7773X 1P7773X AMD4K8K12K16K20K4841.025220.715433.805916.807831.068068.368068.3612102.5012102.5012102.5014013.5014013.5015662.1015662.1019018.3019018.3019018.3019018.3019018.301. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: Asian Dragon7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7763 2PEPYC 75F3 2P AEPYC 7763 1PEPYC 7763AMD 77637763 2PAMD 7763 2PAMD EPYC 7773X7773X AMDEPYC 7773X7773X 1PEPYC 7573X 2P7573X 2P AMDEPYC 7773X 2PAMD EPYC 7773X 2PQAMD 7773X 2P7773X 2P AMD2040608010043.6944.2344.2663.6064.8765.1365.2365.8268.5569.9370.5170.7470.7470.8973.6175.2591.6193.7395.8496.7097.61

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19AMD 7763 2P7763 2PEPYC 7763 2PEPYC 7763AMD 7763EPYC 7763 1P7773X 2P AMDEPYC 75F3 2P AQAMD 7773X 2PAMD EPYC 7773X 2PEPYC 7773XAMD EPYC 7773XEPYC 7773X 2P7773X AMD7773X 1PAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7573X 2P7573X 2P AMD369121512.21612.08111.85511.45311.43611.3059.9059.6939.5249.4079.2959.0428.9978.9928.9888.9658.9148.8758.8298.6828.541

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: Crown7573X 1P AAMD EPYC 7373XEPYC 7573XEPYC 7763 1PAMD 7763EPYC 77637773X AMD7773X 1PAMD EPYC 7773XEPYC 7773XEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015040.1040.1540.2057.3257.5357.5761.0861.2861.2961.3066.9173.5773.6099.99100.10100.63114.17114.83114.87115.15115.35

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 75F3 2P AAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7773X 2PEPYC 7763AMD EPYC 7773X 2PEPYC 7763 1PAMD 7763AMD 7773X 2P7773X 2P AMDQEPYC 7573X 2P7573X 2P AMD7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7773XAMD EPYC 7773X7773X AMD7773X 1P4K8K12K16K20K4590.624841.025023.705220.717607.319181.249181.249509.149509.1410240.6010240.6010240.6011576.3011576.3017750.4017750.4017750.4019018.3019018.3019018.3020481.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 - Model: Asian Dragon7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 75F3 2P AAMD 7763 2PEPYC 7763 1PAMD 7763EPYC 7763EPYC 7763 2P7763 2PAMD EPYC 7773XEPYC 7573X 2PEPYC 7773X7773X AMD7573X 2P AMD7773X 1PEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2P7773X 2P AMDQ2040608010047.9048.0648.9467.8468.5270.2770.5271.0071.0171.7677.3478.0178.2678.3878.4878.4995.5695.7497.49100.20101.69

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUEPYC 7763 2PAMD 7763 2P7763 2PEPYC 7773X 2PAMD 7773X 2PAMD EPYC 7773X 2PQ7773X 2P AMD7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763AMD 7763EPYC 7763 1P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X61218243016.6717.1917.2317.8217.9017.9818.0518.7618.9219.6020.0420.8220.8521.3622.5022.6224.1526.6727.0127.3527.56

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAMD 7763 2P7763 2PEPYC 7763 2PEPYC 7763EPYC 7763 1PAMD 7763EPYC 75F3 2P A7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2PQ7773X AMD7773X 1PEPYC 7773XAMD EPYC 7773X7573X 2P AMDEPYC 7573X 2PEPYC 7573X7573X 1P AAMD EPYC 7373X1.1212.2423.3634.4845.6054.9820404.3596004.3592703.7884903.7692703.7232502.5795201.9155301.8802801.8697501.8687701.8464001.2994501.2830801.2780501.2752700.9141280.8936890.6497830.6365240.6363431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD 7763 2P7763 2PEPYC 7763 2P7773X 2P AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2PQ7573X 2P AMDEPYC 75F3 2P AEPYC 7573X 2PEPYC 7763EPYC 7763 1PAMD 77637773X 1P7773X AMDEPYC 7773XAMD EPYC 7773XAMD EPYC 7373X7573X 1P AEPYC 7573X0.27850.5570.83551.1141.39251.2378601.2282301.2105101.1113001.1039701.0927501.0888700.9650790.8229030.8206280.8109920.7512430.7194190.7178130.6422740.6382990.6379820.6359370.5565890.5495450.5457541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 - Model: CrownAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 7763 1PAMD 7763EPYC 77637773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PEPYC 75F3 2P AEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2PAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2P7773X 2P AMDQ30609012015043.6444.1044.2662.1562.4362.7066.0366.1966.6366.7272.6779.4879.68109.73110.63110.97125.94125.95126.63127.82127.84

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadeAMD 7763 2PEPYC 7763 2P7763 2PEPYC 7763AMD 7763EPYC 7763 1P7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2PEPYC 75F3 2P AQ7773X AMDAMD EPYC 7773XEPYC 7773X7773X 1P7573X 2P AMDEPYC 7573X 2PAMD EPYC 7373XEPYC 7573X7573X 1P A2K4K6K8K10K9716949285968309825182007000694369006869683267966373635563426327605560065579553654971. (CXX) g++ options: -O3

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAMD EPYC 7373X7573X 1P AEPYC 7573XEPYC 75F3 2P AEPYC 7763 1PEPYC 7763AMD 77637773X 1PAMD EPYC 7773X7773X AMDEPYC 7773XEPYC 7573X 2P7573X 2P AMDEPYC 7763 2P7763 2PAMD 7763 2PAMD EPYC 7773X 2PQAMD 7773X 2P7773X 2P AMDEPYC 7773X 2P122436486018.5018.5318.6421.9324.0324.2924.3728.0328.5728.6929.3230.1331.0238.5141.2041.6548.6449.7550.3050.7051.091. (CC) gcc options: -O3 -march=native -fopenmp

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CAMD EPYC 7373XEPYC 7573X7573X 1P AAMD EPYC 7763EPYC 7763EPYC 7763 1PAMD 77637773X AMD7773X 1PAMD EPYC 7773XEPYC 7773X7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2PAMD EPYC 7773X 2PEPYC 7773X 2PAMD 7773X 2PQ7773X 2P AMD30K60K90K120K150KSE +/- 29.88, N = 361565.9461771.3762206.5262298.8562461.2362466.7262472.0863877.6264229.8064305.6564625.41104001.45104820.24106308.93118198.63119239.72121651.13124952.45126947.29127460.43128599.94128667.501. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionAMD 7763 2PEPYC 7763 2P7763 2PEPYC 7763 1PAMD 7763EPYC 77637773X 2P AMDAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2PQ7773X AMDEPYC 7773XAMD EPYC 7773X7773X 1PEPYC 75F3 2P A7573X 2P AMDEPYC 7573X 2PAMD EPYC 7373XEPYC 7573X7573X 1P A160032004800640080007345685367176413641263556207618861696096558753555348532753025177514850254655461145551. (CXX) g++ options: -O3

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7773XEPYC 7773X7773X 1P7773X AMD7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2PAMD 7773X 2PQ7773X 2P AMDEPYC 7773X 2PAMD EPYC 7773X 2P0.26020.52040.78061.04081.3011.1566501.1535601.1527000.8657990.8644710.8617950.8535130.8514930.8507630.8461120.6946830.6915740.6873270.6348420.6283720.6239530.6182950.6122460.6097500.6087720.6051201. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7763EPYC 7763 1PAMD 77637573X 1P AAMD EPYC 7373XEPYC 7573XAMD EPYC 7773X7773X AMD7773X 1PEPYC 7773XAMD 7763 2P7763 2PEPYC 75F3 2P A7573X 2P AMDEPYC 7763 2PAMD EPYC 7773X 2PEPYC 7573X 2P7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PQ0.36470.72941.09411.45881.82351.6207001.5664001.5632700.9872890.9827250.9386400.8941970.8886740.8810150.8771280.8521620.8098410.6433530.6128810.5910970.5622050.5371000.5360170.5336470.5160000.5007421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 67763 TwoP7773X 2P AMDAMD EPYC 7773X 2PEPYC 7773X7773X AMD7773X 1P1.14412.28823.43234.57645.7205SE +/- 0.061, N = 35.0854.8874.8313.9973.9293.8471. (CXX) g++ options: -O3 -fPIC -lm

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7763AMD EPYC 7763EPYC 7763 1PAMD 77637773X AMDAMD EPYC 7773XEPYC 7773XEPYC 75F3 2P A7773X 1P7573X 2P AMDEPYC 7573X 2PEPYC 7573XAMD EPYC 7373XEPYC 7763 2PAMD 7763 2P7573X 1P A7763 2P7773X 2P AMDQAMD EPYC 7773X 2PAMD 7773X 2PEPYC 7773X 2P11K22K33K44K55KSE +/- 189.57, N = 320470.9825028.1625401.0425634.8637455.2437939.5638411.8439363.0639484.1240478.0240661.7541416.6642004.4144101.5944763.8445231.1746043.4848761.1948800.5149917.0050666.8650925.461. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionEPYC 7763AMD EPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7373X7573X 1P AEPYC 7573X7773X AMD7773X 1PEPYC 7773XAMD EPYC 7773XEPYC 75F3 2P AEPYC 7763 2PAMD 7763 2P7763 2P7573X 2P AMDEPYC 7573X 2PQAMD EPYC 7773X 2P7773X 2P AMDEPYC 7773X 2PAMD 7773X 2P1.26122.52243.78365.04486.306SE +/- 0.04430682, N = 35.605312825.514664975.479650975.427392965.232262135.174355985.157979014.693853864.680984974.646090034.598102093.329941993.161489013.140975953.135489942.723025082.616748092.394201042.261838912.250246052.233441112.216892961. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7763EPYC 7763 1PAMD EPYC 7763AMD 7763EPYC 7573X7573X 1P AAMD EPYC 7373XEPYC 7763 2PEPYC 7773XAMD EPYC 7773XAMD 7763 2P7773X 1P7763 2P7573X 2P AMD7773X AMDAMD EPYC 7773X 2PAMD 7773X 2PEPYC 75F3 2P AEPYC 7573X 2PQ7773X 2P AMDEPYC 7773X 2P40K80K120K160K200KSE +/- 999.48, N = 587833.8490087.6390089.6090142.34114045.29114146.22114522.08138475.31138845.08140678.26144792.53147678.54148188.64160137.51161516.72164921.88169611.90170824.44171285.17174418.87175816.24177635.861. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3AMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 7763 2PAMD EPYC 7773X 2PAMD 7763EPYC 7763 1PEPYC 7763AMD 7763 2PEPYC 7773X 2PAMD EPYC 7773X7773X 1P7773X AMDEPYC 7773XEPYC 7573X 2P7763 2PAMD 7773X 2P7773X 2P AMD7573X 2P AMDQEPYC 75F3 2P A1.20112.40223.60334.80446.00555.3385.3265.3055.0244.9664.9434.9394.9344.8914.8554.8134.8024.7884.7804.7654.7064.6384.5514.5514.3423.899

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7573XAMD EPYC 7373X7573X 1P AEPYC 7763 1PAMD EPYC 7763EPYC 77637773X 1PAMD 7763AMD EPYC 7773X7773X AMDEPYC 7773X7573X 2P AMDEPYC 7573X 2PEPYC 75F3 2P AEPYC 7763 2P7763 2PAMD 7763 2P7773X 2P AMDAMD 7773X 2PEPYC 7773X 2PAMD EPYC 7773X 2PQ2K4K6K8K10KSE +/- 51.37, N = 152728.332913.272916.754493.234798.574839.104912.344926.074980.745088.425206.785394.025471.126195.259082.379099.189129.029326.569424.989822.699928.4110621.591. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7763AMD 7763EPYC 7763 1PAMD EPYC 7373XAMD EPYC 77637573X 1P AAMD EPYC 7773XEPYC 7773XEPYC 7573X7773X AMD7773X 1PAMD 7763 2PEPYC 7763 2P7763 2PEPYC 75F3 2P A7773X 2P AMDEPYC 7773X 2PQAMD 7773X 2PAMD EPYC 7773X 2PEPYC 7573X 2P7573X 2P AMD30K60K90K120K150KSE +/- 253.46, N = 357396.8157597.2157684.6458218.1558421.6059393.8159437.0059552.4160143.2460742.4361348.24100404.62100635.00102256.36103087.31121817.60123313.90123414.12124012.75127123.60132179.89133651.551. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 9AMD 7763 2PEPYC 7763 2PEPYC 7773X 2P7763 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7773X7773X AMDEPYC 7773X7773X 1PEPYC 7573X 2P7573X 2P AMDAMD EPYC 7373XEPYC 7573X7573X 1P AEPYC 75F3 2P A0.86671.73342.60013.46684.33353.8523.8333.7563.7363.7283.7233.6853.6743.5543.5513.5443.4273.4263.4243.4163.2243.2202.9382.9002.8922.677

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAMD EPYC 7773X 2PQ7773X 2P AMDAMD 7773X 2P7763 2PEPYC 7773X 2PEPYC 7763 2PAMD 7763 2PEPYC 7773XAMD EPYC 7773X7773X 1P7773X AMDAMD 7763EPYC 7763EPYC 7763 1P7573X 1P AAMD EPYC 7373XEPYC 7573X7573X 2P AMDEPYC 75F3 2P AEPYC 7573X 2P0.96461.92922.89383.85844.8234.287244.233774.207944.006213.997923.925333.871863.799893.448283.446213.445453.436533.172843.129103.104892.811852.805622.774152.082062.005701.959251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7573X7573X 1P AAMD EPYC 7373X7573X 2P AMDEPYC 7573X 2PEPYC 7773X 2PAMD 7763EPYC 7763EPYC 75F3 2P AEPYC 7763 2PEPYC 7763 1PQ7773X 2P AMD7773X 1PAMD EPYC 7773X7773X AMDEPYC 7773XAMD 7763 2PAMD 7773X 2PAMD EPYC 7773X 2P7763 2P0.24280.48560.72840.97121.2141.0790101.0786201.0784100.9788070.8872550.8239780.8184030.8132040.7888610.7681790.7640970.7613050.7612670.7446320.7441450.7411810.7367400.7333390.7187850.7179020.7042071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7763 1PEPYC 77637773X AMD7773X 1P7573X 2P AMDAMD 7763 2PAMD 7763EPYC 7763 2PAMD EPYC 7773XEPYC 7773XEPYC 7573X 2PAMD EPYC 7773X 2PAMD 7773X 2P7763 2P7773X 2P AMDQEPYC 75F3 2P AEPYC 7773X 2P71421283516.6317.7118.8821.9022.1023.0123.7425.4526.3526.7226.8327.0427.7027.7627.8627.9828.6328.7028.8830.2330.411. (CXX) g++ options: -O3 -lm

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

EPYC 75F3 2P A: The test run did not produce a result.

7573X 1P A: The test run did not produce a result.

EPYC 7573X: The test run did not produce a result.

AMD EPYC 7373X: The test run did not produce a result.

EPYC 7573X 2P: The test run did not produce a result.

7573X 2P AMD: The test run did not produce a result.

EPYC 7763: The test run did not produce a result.

EPYC 7763 1P: The test run did not produce a result.

AMD 7763: The test run did not produce a result.

EPYC 7763 2P: The test run did not produce a result.

AMD 7763 2P: The test run did not produce a result.

7763 2P: The test run did not produce a result.

7773X 1P: The test run did not produce a result.

EPYC 7773X: The test run did not produce a result.

AMD EPYC 7773X: The test run did not produce a result.

7773X AMD: The test run did not produce a result.

EPYC 7773X 2P: The test run did not produce a result.

AMD EPYC 7773X 2P: The test run did not produce a result.

AMD 7773X 2P: The test run did not produce a result.

7773X 2P AMD: The test run did not produce a result.

Q: The test run did not produce a result.

127 Results Shown

WRF
BRL-CAD
OpenVKL:
  vklBenchmark ISPC
  vklBenchmark Scalar
Java JMH
Xcompact3d Incompact3d
Java Gradle Build
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
Quantum ESPRESSO
OSPray:
  particle_volume/pathtracer/real_time
  particle_volume/scivis/real_time
RELION
LAMMPS Molecular Dynamics Simulator
Blender
Timed Linux Kernel Compilation
Timed LLVM Compilation
OSPray
OSPray Studio:
  1 - 1080p - 32 - Path Tracer
  2 - 1080p - 32 - Path Tracer
  1 - 1080p - 16 - Path Tracer
  2 - 1080p - 16 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  1 - 1080p - 1 - Path Tracer
  3 - 1080p - 32 - Path Tracer
Timed Node.js Compilation
Timed LLVM Compilation
asmFish
ONNX Runtime:
  GPT-2 - CPU - Standard
  fcn-resnet101-11 - CPU - Parallel
  GPT-2 - CPU - Parallel
  bertsquad-12 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Parallel
  yolov4 - CPU - Parallel
  fcn-resnet101-11 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  bertsquad-12 - CPU - Standard
  yolov4 - CPU - Standard
  super-resolution-10 - CPU - Standard
  super-resolution-10 - CPU - Parallel
libavif avifenc
OSPray:
  gravity_spheres_volume/dim_512/pathtracer/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/ao/real_time
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Blender
Timed Wasmer Compilation
libavif avifenc
LuxCoreRender
Blender
LuxCoreRender:
  Danish Mood - CPU
  LuxCore Benchmark - CPU
  DLSC - CPU
Facebook RocksDB:
  Update Rand
  Read Rand Write Rand
  Read While Writing
  Rand Read
Timed Godot Game Engine Compilation
KTX-Software toktx
GPAW
GROMACS
Algebraic Multi-Grid Benchmark
Blender
NAS Parallel Benchmarks
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
Blender
Timed Linux Kernel Compilation
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer - Asian Dragon Obj
Coremark
NAMD
NAS Parallel Benchmarks
Stockfish
KTX-Software toktx
oneDNN:
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
Liquid-DSP:
  64 - 256 - 57
  128 - 256 - 57
LULESH
Xcompact3d Incompact3d
NAS Parallel Benchmarks
ASKAP
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
NAS Parallel Benchmarks
POV-Ray
libavif avifenc
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
libavif avifenc
NAS Parallel Benchmarks
Timed MPlayer Compilation
ASKAP
Embree
KTX-Software toktx
Embree
ASKAP
Embree
LuxCoreRender
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
Embree
Google Draco
ACES DGEMM
NAS Parallel Benchmarks
Google Draco
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
libavif avifenc
NAS Parallel Benchmarks
Xcompact3d Incompact3d
NAS Parallel Benchmarks
KTX-Software toktx
NAS Parallel Benchmarks:
  EP.C
  MG.C
KTX-Software toktx
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
LAMMPS Molecular Dynamics Simulator