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

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 onednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonnx: GPT-2 - CPU - Parallelbrl-cad: VGR Performance Metriconednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonnx: GPT-2 - CPU - Standardonednn: IP Shapes 1D - f32 - CPUnpb: SP.Caskap: tConvolve OpenMP - Griddingonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonnx: super-resolution-10 - CPU - Standardrocksdb: Update Randaskap: tConvolve OpenMP - Degriddingnpb: EP.Crelion: Basic - CPUnpb: EP.Dnpb: BT.Conednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUjava-jmh: Throughputasmfish: 1024 Hash Memory, 26 Depthonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUstockfish: Total Timeospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Traceraskap: Hogbom Clean OpenMPospray-studio: 2 - 1080p - 32 - Path Tracerblender: Classroom - CPU-Onlyrocksdb: Rand Readospray-studio: 2 - 1080p - 16 - Path Tracerospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray: gravity_spheres_volume/dim_512/scivis/real_timeaskap: tConvolve MPI - Griddingblender: Pabellon Barcelona - CPU-Onlyospray: gravity_spheres_volume/dim_512/ao/real_timeospray-studio: 1 - 1080p - 1 - Path Traceraskap: tConvolve MPI - Degriddingblender: Barbershop - CPU-Onlyonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUblender: BMW27 - CPU-Onlyembree: Pathtracer - Crownblender: Fishy Cat - CPU-Onlyembree: Pathtracer ISPC - Crownnpb: LU.Cliquid-dsp: 128 - 256 - 57luxcorerender: DLSC - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUmt-dgemm: Sustained Floating-Point Rateospray: particle_volume/scivis/real_timerocksdb: Read While Writingospray: particle_volume/ao/real_timetoktx: UASTC 4 + Zstd Compression 19onednn: Recurrent Neural Network Inference - f32 - CPUnamd: ATPase Simulation - 327,506 Atomsonnx: super-resolution-10 - CPU - Parallelincompact3d: input.i3d 129 Cells Per Directionnpb: CG.Copenvkl: vklBenchmark Scalarluxcorerender: Orange Juice - CPUincompact3d: X3D-benchmarking input.i3dospray: particle_volume/pathtracer/real_timenpb: MG.Cincompact3d: input.i3d 193 Cells Per Directiononednn: IP Shapes 3D - u8s8f32 - CPUjava-gradle-perf: Reactorgromacs: MPI CPU - water_GMX50_bareembree: Pathtracer ISPC - Asian Dragonwrf: conus 2.5kmbuild-linux-kernel: allmodconfigonednn: Deconvolution Batch shapes_3d - f32 - CPUopenvkl: vklBenchmark ISPClulesh: npb: IS.Dembree: Pathtracer - Asian Dragononnx: yolov4 - CPU - Standardnpb: FT.Connx: bertsquad-12 - CPU - Standardembree: Pathtracer ISPC - Asian Dragon Objnpb: SP.Bembree: Pathtracer - Asian Dragon Objamg: coremark: CoreMark Size 666 - Iterations Per Secondonednn: Convolution Batch Shapes Auto - f32 - CPUaskap: tConvolve MT - Degriddingliquid-dsp: 64 - 256 - 57povray: Trace Timebuild-llvm: Ninjagpaw: Carbon Nanotubebuild-wasmer: Time To Compilelammps: Rhodopsin Proteinlammps: 20k Atomsonnx: ArcFace ResNet-100 - CPU - Standarddraco: Church Facadeluxcorerender: Danish Mood - CPUonnx: yolov4 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelbuild-godot: Time To Compilerocksdb: Read Rand Write Randluxcorerender: Rainbow Colors and Prism - CPUonnx: bertsquad-12 - CPU - Paralleldraco: Lionluxcorerender: LuxCore Benchmark - CPUtoktx: Zstd Compression 19build-linux-kernel: defconfigonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUbuild-nodejs: Time To Compileaskap: tConvolve MT - Griddingonnx: fcn-resnet101-11 - CPU - Standardtoktx: Zstd Compression 9toktx: UASTC 3 + Zstd Compression 19build-llvm: Unix Makefilesbuild-mplayer: Time To Compiletoktx: UASTC 3avifenc: 10, Losslessqe: AUSURF112avifenc: 6avifenc: 6, Losslessonnx: fcn-resnet101-11 - CPU - Parallelavifenc: 2avifenc: 0onednn: IP Shapes 1D - 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 AMDQ4.742282.5795215.735512888629104427.4610.23424440.274517.6331264.36775113354.044590.6223.446318342880275916.86195.255497.43200238.822.0832497170984286.6831819759370.643353180424139740717705147808837358.4231525958.04383692170757516.31675564779.9584444663.172.2610.398246741160.1236.81841.5922.5872.665629.7566.9122272016.08399720000010.231797.0221.92589985.2076813236288.984550.1971765.010.3059340283.3299419939363.0611215.48318.375702266.923103087.3112.32095530.820628253.9647.2664.8713186.7282.005718137349.7544381.7467.8353305106308.9342455.8751170824.4459.746519125480002304553.0927420.68732714664.736816000008.518115.72455.3450.12930.22928.281116568326.43487132944.169310194520.8258151775.8218.7720.8820.788861110.646698.261672.6779.693171.8498.9693.899130232.1989589.901323.261.125380.6365249.644721581.274.970541588.891617.481.5967482422.9817750.410.571319018.32916.752916.94109457.221.24704891673430.9872899648875213892330002793216421862.06928315114.85140318.2648610218735.1652724990.15.39876857205801251.4343.5944.099456.5440.1019174334.8119719000005.961275.6618.52955944.768446.649195.1441273.890.576485.1743559845231.17659.02620.26825325.92659393.8119.93802830.5495454.94943.6852336.4342.8118511620691.4692828.0647.90362206.5239.1792114146.2244.240210694310001357754.0485111.15279424.99195970000014.865186.19366.46853.07616.6320.33954974.6750.14318.9245554.9117.25731.5991.07862168.9296403.752.8928.829240.82412.5265.3051.053960.64978310.126949284485491582.415.851781604.821608.97154371.6905582708.8517750.410.5757772472681219018.32728.33410.3122907.88108214.131.2599447778078286.715887686460.9386410134103713961330482782716446854.70128406114.96186841137141068.2655910148675.1390826239.6141.365.3428885221420.1441.271293.343.6644.261556.3940.1976173233.6419804000005.841302.4918.63971444.6124609447846.608195.1721283.480.5788054615.1579790141416.66659.07621.697693327.95760143.2419.6562710.545754299.6354.94444.2302336.5332.7741511520554.7412781.4848.059851561771.3784439.2616114045.2943.96610691350001364896.5664321.153569435.43195280000014.727186.85466.64453.21717.71420.44172455364.67545162449.925334546519.675446114.9317.11131.6851.07901169.4676418.221502.98.875236.27912.5155.326347.981211.20970.6363438.1415749274435041640.694.878231614.411611.07129771.6552382051.2317750.49.72563553471817019018.32913.27405.8832907.42108992.181.2375646940897154.799941818730.9827259648370913823327652790916382862.06928318114.78183001879141198.2775310188725.1591326239.6141.045.3913185521420.1441.321208.1743.4543.641956.7240.1548170007.9719855000005.881271.6518.50371744.792605872946.626295.211292.860.5789754305.2322621342004.41659.03622.994446327.88358218.1520.00807190.556589280.8634.9244.2583336.5872.8056211520630.3032842.4648.940451961565.9488538.9628114522.0844.290610748080001379409.4403331.156659424.99196160000014.712186.0566.73153.19418.8820.504175255794.65549161250.249329846320.0475746554.9417.03731.6481.07841168.4476403.751532.9388.914241.2112.5485.3381212.708160.89368915.80728418666635892.2312.13245783.435672.46140914.51902217296.3411576.328.4549711922331715662.15471.12213.9655341.5269936.532.3935593879223384.3091692081950.5371178799098716416939143218482401.6061461559.83364252681730115.9715304579.9366249980.173.8910.318244741160.1230.692591.423.479.47929.873.601301386.0338978000008.982641.0530.12719783.0843935210586.626752.1422317.020.3068943502.6167480940661.7511214.78286.680298179.9132179.8910.97370820.810992338.0198.15473.6073193.3761.9592518541615.2244785.9478.0086307104820.2446166.0196171285.1771.178319572030002283267.9272210.69157412119.835433000009.042118.60951.00663.98327.75827.13131760065.64335115049.541254501920.8550450255.318.7922.7530.887255117.1517691.441903.2248.682187.919.9294.765304.831264.884590.91412812.681912068726185932.4312.1146037.326065.43116672.68585214653.8311576.327.81428322102015662.15394.02207.7525694.59270104.132.4546894031661279.0851700743170.612881176681626715816968143308454373.1341457359.63362850634731215.99375294569.9240451199.173.8210.322644841983.3231.472385.3223.4779.684130.3173.5696305955.7238953000009.042137.7831.02477982.7764958470086.42152.2582409.680.3062142112.7230250840478.0214.9286.204498146.187133651.5510.90895840.822903352.4238.18875.2529192.592.0820640978.2944860.3678.4836256104001.4548265.8028160137.5171.274219458170002235287.269340.69468311155.735281000009.466118.62951.2763.27825.45127.102134160555.73321115849.196254991621.3650751486.119.23322.5960.978807117.7866633.081773.228.541184.6389.8084.5511252.257433.788499.7646343607212553478.489.269893541.342945.386582.798852332.489181.2417.081365462586207831.064839.1564.815175.41131518.681.3909374263319461.1561562199351.62071619638078706207531750710362520.8331773170.48287267086883513.70666425488.6444323854.187.869.0088754322331.5275.841336.327.7162.704636.3757.5652144536.2330041000009.341237.8524.28906269.9621946740273.339662.5091379.650.3935641445.6053128220470.9810513.91604.5354305.5357396.8121.92832570.751243342.3645.66865.225316617.042241.2263.129117419293.572662.370.998143262461.2373157.729187833.8465.398610107630001849176.5385730.8657997687.97279350000010.223148.48768.63569.38122.10329.09160583097.08530174251.803326742522.559163557.7423.89526.7540.813204144.1215107.261753.55411.453218.41911.44.934405.981411.678873.769273.7471343617124933639.848.616263748.333645.0485801.9004752010.89509.1412.008665263132208068.364493.23564.8125016.91134644.451.3642473406196572.7991561290611.56641667843618790208111752510372515.4641771970.48286555961884913.69416445518.6542423067.787.269.01654522817274.831349.2827.7862.154435.9157.3181144402.1630032000009.611348.8624.03141870.0752915410773.241762.5361331.640.3810540385.4796509725401.0410413.88605.636108298.54957684.6421.97802930.719419316.9895.66265.1275240.4663.1048917419241.1462653.0970.272143662466.7273054.388690087.6362.698710128780001857585.1393190.8644717686.24279610000010.262148.43169.30469.31521.90428.779155982007.12532174451.586343139824.1558964137.6823.61626.7590.764097143.2695097.331713.55111.305217.95111.4924.939405.451422.736923.7232510.3243357094283721.188.611083582.423551.1185852.8988252138.789509.1411.837465213145548068.364926.07560.0015246.85133323.281.3840573509705757.0871580118641.563271644875508746208031756410417518.1351777070.3287726396886213.70376475518.6385323324.187.929.0536854422817274.081307.7527.6762.432736.1957.5264145863.6930038000009.671375.6424.37141369.8913926339473.18762.5341332.210.3800440985.4273929625634.8610413.3604.783264305.79357597.2121.84632490.717813316.395.66265.818516601.809240.5633.1728417419190.5542623.9970.519342862472.0873657.852590142.3461.60510127650001831100.0906010.8617957693.18280580000010.413149.05269.13968.12326.71629.212150082516.99535176151.317342029822.6258864127.723.81626.640.818403143.0835109.561703.54411.436218.51311.424.943407.7314252242.354798.575178.93133859.70145564.290.380945.5146649725028.16604.51666258421.6021.83482492658.3662298.8590089.6010121356677.839414.3592728.4214145524789899412.728.57089161.549321.1354114.84988115318.835220.7137.283359491743874841.029082.37296.8399605.14255381.33.13162144549128035.962831194450.59109730626065145961093091885442273.224936136.47565749612467125.784834029115.85346648.146.0716.399728744663.1151.583617.315.12109.732819.6100.6317294931.77556460000016.433290.5238.507955121.00414759600125.57438.7043157.770.2271721343.1614890144101.5915620.78298.410706227.20510063510.96259981.21051569.39110.07563.60138407.719159.7943.8718624136990.1244533.1571.0095320118198.6354656.915138475.3159.507119353170002570969.4697380.6348428999.4127553000008.123106.96342.14491.81626.8336.161108594928.14453115974.622211566816.6753768537.5125.26421.6230.768179126.2995691.042093.83311.855205.94610.0285.024401.431382.821624.9820424.7303111225091568850.8528.62329222.279154.3353404.46182115789.554841.0242.654238551830385220.719129.028995.9256845.353.523282903259270.85216229695781545501092192365407290.698938936.87567301022464425.757834229315.797446648.146.3516.397128944663.1152.12877.2714.94110.97119.9499.9892286165.13555480000014.283085.4141.652442121.96614147743125.37537.2273103.030.2279126313.1409759544763.8415820.72299.900116154.162100404.6210.89384841.23786574.74210.21669.9334156.5843.7998924437401.8154629.668.5237313121651.1354759.7047144792.5359.112719350800002502769.9928310.62395310475.127678000008.123108.02941.75392.32526.34636.009100797167.16456117072.412213670817.1954173457.6425.71621.6310.733339122.9925653.272023.85212.216204.70310.134.8911416.6674.359616.5809135325161349250.3526.87799102.819186.9658026.89473115149.325023.734.04860062188735433.89099.18298.968940.96259865.124.11267144374275277.132921013130.80984129230454645651083991295440286.533939236.63572380327465725.821534229115.776446648.145.8916.44628844192.9152.813402.1614.85110.625419.78100.1032290495.09555060000013.93421.4341.198592121.30714382466124.57437.9263406.790.2450027193.1354899446043.4815820.65298.522827228.227102256.3611.03478341.22823512.17610.15868.5533157.4353.9979224137340.8894647.4771.7555278119239.7254657.5289148188.6460.674919389230002388802.4883360.6283721388527773000008.052108.61441.94988.45628.62636.229103985967.04447121174.449266177317.2354367177.4326.60221.4740.704207121.7375731.712053.73612.081203.36810.0634.706407.371428.5545.08510.13551.76593.2953.03031.2830811.704548127366282939.559.401563190.83113.5290211.9796490412.9720481.211.3558456725421919018.34912.34286.0555016.24168138.071.3161176866468141.021548346510.8810151684525368649204391736510241806.4521744974.14270951159871813.45156385448.554235579.191.288.9640854032294.8280.131377.728.666.716637.0861.2753255503.3829076000008.991286.928.02578668.61141151923571.851761.2041334.920.3799041884.6809849739484.1210013.69576.25531314.60761348.2417.9533310.642274345.6867.20370.8917236.2123.4454517421730.9912876.1178.49140864229.877662.8319147678.5470.950510553540001930521.341310.8507638264.01278310000010.554141.15158.38464.41623.74128.931165463277.2537163848.104350121526.6757853027.4720.02725.8250.744632135.4355460.791783.4168.965207.93710.9914.8026.305389.673.8477.86513644.7783.5593.089451.278054.8583647837378503303.349.14593055.593103.78112402.4736490109.5219018.314.266946392521895206.78282.4675413.06169685.321.2511776300637070.9481536199910.8771281719618688644204091734110189806.4521748274.18271945701873913.45256355458.5210935579.191.138.9498653632294.8279.981308.2328.866.192237.0961.3005256793.7429117000009.021316.8129.31560668.6656995362971.495461.2171448.840.3798042274.6460900338411.8410013.75574.724182317.47959552.4117.57585720.637982340.1757.22170.7431235.9173.4482817421584.0712858.3578.261744064625.4160362.7044138845.0871.067710550180001936557.56720.8514938270.02278160000010.526141.52558.39763.62327.70229.173167963427.16534163747.995341002227.0157653487.4919.99325.8360.73674134.9665465.161763.4249.042208.82210.9294.786.404390.743.9978.10313545.22783.0972.191361.2752711.82352789.88.885173114.4631292.1877289545.4119018.310.16794980.745172.66168360.941.319341533212030.8941971634074618629205091735510245806.4521746074.25874513.44426375448.5574435579.18.9411453832294.8280.941327.5628.8566.633737.661.2909251895.1629097000009.021321.2928.57171668.589971.528661.2991325.850.380914.5981020937939.5610013.68576.660095314.4995943717.97942540.6359377.24170.506235.9553.4462117421926.3032823.177.342964305.6562.7097140678.2670.934510580370001944402.2482150.8535138288.12278310000010.637142.24858.6463.78327.03629.20563557.2248.64427.5653277.3719.98125.7380.744145135.1655484.513.4278.997207.23310.974.8132.942411.2994511.200348047351622754.079.380583184.553206.52110502.6498689387.2520481.215.9995483125393319018.35088.42283.6375027.6167500.971.3646178180523365.9941566569170.8886741670533288644204961734810281806.4521752474.06272622589876013.43056375458.5629834986.191.338.9181753930422.7280.081296.228.8366.028237.2561.0751251099.1829066000009.051336.6528.68702868.4376989428471.323861.4591294.30.3817241404.6938538637455.2410013.33578.174866315.77160742.4317.94275470.638299340.3757.23870.74215589.95236.4073.4365317421615.652811.9778.37742363877.6274262.7449161516.7270.931410559970001931492.3796590.8461128268.02276890000010.399143.0258.65563.96523.00928.443166163737.34541163448.71339374427.3557053557.4519.94925.820.741181134.8825474.821483.4268.988207.80610.994.7886.425392.363.9298.09613744.99183.5242.693591.8697529.00511089370.3926.04759307.69241.4660946.7152231838.687607.3132.5453427823174714013.59822.6910638.1365014.853.157932859843180.51629276098944021045588425216366.3902138.16536831050452225.577133128315.793371158.147.2116.441428062661.6147.243544.9615.45126.63219.66114.1748395792.83554950000016.313195.6451.086817122.83216349507127.44835.7493223.150.2256528792.2334411150925.4615821.16266.377441140.681123313.99.905960081.1039711.03391.6089155.8193.9253325041405.7825555.495.5644276126947.2960580.1423177635.8688.332419950560002553700.8711840.60877210900.628665000007.95101.0437.99382.7630.40636.99298669007.43344103770.284271675617.8247260967.2624.24520.6190.823978115.835405.782133.7568.992194.9229.7034.8551287.202131.8687713.664878527218869050.1226.07449019.268990.4176374.17691227563.539181.2432.1733428821441112102.59928.41153.56910076.95367142.313.46616152256140725.22860455690.56220528254678343991046188235217377.358900838.26540085229451625.585533228415.786369972.247.0116.405828162661.6147.763278.8815.34125.936519.56114.8277412278.56555020000015.923341.8148.63868123.03915027099126.90335.953206.180.2260626932.261838914991715821.46264.924438140.837127123.69.675087931.09275541.85611.05493.7252154.7664.2872424941270.7595592.5697.4947248124952.4569980.9828164921.8882.454220003260002558635.3944560.605129650.5128594000008.005104.54538.08482.68127.85837.02698568697.03343106570.004265611417.9847461887.822.86620.7460.717902116.6076223.092093.7289.295192.3319.7434.9668.007388.654.8319.89513449.64890.4284.838121.8802829.164995926386199142.7825.83998860.99231.6980646.46132231843.8910240.633.5965429920846114013.59424.98147.74210566.45365482.973.01983155962060080.562852026810.53364730431025444091042588135209350.877906138.05541214559452025.588833128415.758469972.247.1116.388427961740.1147.353184.7515.33125.954620.36114.8681403779.74554210000013.533371.3550.299544122.83215559818127.48735.5213412.540.2276925212.2168929650666.8615821.03265.030518144.015124012.759.621322631.08887529.43710.93996.7006153.7564.0062125141275.0685539.8395.7365253127460.4356576.4076169611.983.139120059770002568218.2985550.61829510891.928629000008.154101.76137.84882.2627.98436.587108169437.39357108371.054263923417.946761696.8521.79620.7530.718785117.5046012.842053.7239.407192.39.5494.638383.711297.424891.915538.62477120425995089433.526.16389243.519218.7578817.5494232552.1610240.631.3453430822152512102.59326.56148.07410448.79369275.663.69543154004696737.312901142540.53601729923582644211043288385223324.675902638.04536972504452325.551433128415.712769972.246.7316.440227962661.6148.653216.6315.32127.822619.54115.1474391750.98557800000015.993241.0950.703839123.04816654856127.36135.4473377.990.2226830802.2502460548761.1916021.02265.940399141.843121817.69.754734041.1113515.64611.00197.60777468.799153.9064.2079425041365.8265574.73100.2047265128667.569876.1707175816.2481.540619955530002684188.4523980.6097511029.429383000007.885100.17137.59979.72728.69836.555100070007.4354107671.422263142418.7647362077.1821.25920.790.761267115.8286014.432173.6859.905194.0839.6044.5518.353386.044.8879.61313049.72890.5378.521.846425.21819006.5825.75619228.218660.237.11169230282.310240.632.315612102.510621.599272.79353127.023.154042916108310.50074229406873144041044888305231370.37901237.73451525.509332928415.722169972.216.457327962661.63355.7215.4127.842419.69115.3528403464.97558820000013.923327.2749.74942122.576126.54335.0363258.440.224422.3942010448800.5115821.02265.081665143.891123414.129.709309580.96507910.92995.8392152.9334.2337724741120.9475508.49101.6897128599.9479.3487174418.8783.808319986190002631038.0267210.61224611428.829267000007.96499.98938.5981.23928.88136.46467967.8770.5218.0555877.121.23121.1420.761305119.2545624.353.6749.524192.3069.5794.342OpenBenchmarking.org

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: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2468104.742281.125381.053961.209702.708164.884592.257431.678872.736927.839412.821626.667003.030303.089452.191362.942412.693597.202134.838127.424898.520001. (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: f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ1.1212.2423.3634.4845.6052.5795200.6365240.6497830.6363430.8936890.9141283.7884903.7692703.7232504.3592704.9820404.3596001.2830801.2780501.2752701.2994501.8697501.8687701.8802801.9155301.8464001. (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: f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ71421283515.735509.6447210.126908.1415715.8072012.681909.764633.7471310.3200028.4214024.7303016.5809011.704504.8583611.8235011.2003029.0050013.6648029.164908.6247725.218101. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: ParallelEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD110022003300440055001288492849278411206436043614335145511121353481247834804110878595912041. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 MetricEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD600K1200K1800K2400K3000K8629104485494435048666638726187212557124937094282478989250915625161347366287378507351622721886263861925995081. (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

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10K4427.461581.271582.411640.695892.235932.433478.483639.843721.189412.708850.859250.352939.553303.342789.802754.079370.399050.129142.789433.509006.581. (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: f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ71421283510.234204.970545.851784.8782312.1324012.114009.269898.616268.6110828.5708028.6232026.877909.401569.145908.885179.3805826.0475026.0744025.8399026.1638025.756101. (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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10K4440.271588.891604.821614.415783.436037.323541.343748.333582.429161.549222.279102.813190.803055.593114.463184.559307.609019.268860.909243.519228.211. (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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10K4517.631617.481608.971611.075672.466065.432945.303645.043551.119321.139154.339186.963113.523103.783129.003206.529241.468990.419231.699218.758660.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD3K6K9K12K15K3126154371297714091116678658858085855411534058029021112401105060947637806478811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2468104.367751.596741.690551.655234.519022.685852.798801.900472.898824.849884.461826.894731.979642.473642.187722.649866.715204.176916.461327.549407.111691. (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: SP.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ50K100K150K200K250KSE +/- 11.35, N = 3113354.0482422.9882708.8582051.23217296.34214653.8352332.4852010.8052138.7852242.35115318.83115789.55115149.3290412.9790109.5289545.4189387.25231838.68227563.53231843.89232552.16230282.301. (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: SP.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ40K80K120K160K200KMin: 52228.77 / Avg: 52242.35 / Max: 52264.891. (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.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4K8K12K16K20K4590.6217750.4017750.4019018.3011576.3011576.309181.249509.149509.145220.714841.025023.7020481.2019018.3019018.3019018.307607.319181.2410240.6010240.6010240.601. (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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ102030405023.4463010.5713010.575709.7256328.4549027.8100017.0813012.0086011.8374037.2833042.6542034.0480011.3558014.2669010.1679015.9995032.5453032.1733033.5965031.3453032.315601. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: super-resolution-10 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD170034005100680085001834772455347119428365466526652159493855600645674639483142784288429943081. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD160K320K480K640K800K2880277268127181702233172210202586203132203145541743871830382188732542192521892539332317472144112084612215251. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1P7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4K8K12K16K20K5916.8019018.3019018.3019018.3015662.1015662.107831.068068.368068.364841.025220.715433.8019018.3019018.3014013.5012102.5014013.5012102.5012102.501. (CXX) g++ options: -O3 -fstrict-aliasing -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: EP.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10KSE +/- 51.37, N = 156195.252916.752728.332913.275471.125394.024839.104493.234926.074798.579082.379129.029099.184912.345206.784980.745088.429822.699928.419424.989326.5610621.591. (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: EP.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10KMin: 4442.98 / Avg: 4798.57 / Max: 5072.531. (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

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: CPU2 x AMD EPYC 75F3 32-CoreEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD120240360480600232.20410.31405.88213.97207.75564.81564.81560.00296.84298.96286.06282.47283.64153.57147.74148.071. (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

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.DEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10KSE +/- 44.84, N = 75497.432916.942907.882907.425341.505694.595175.415016.915246.855178.939605.148995.908940.965016.245413.065172.665027.6010638.1010076.9510566.4510448.799272.791. (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: EP.DEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10KMin: 4915.59 / Avg: 5178.93 / Max: 5244.531. (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: BT.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ80K160K240K320K400KSE +/- 1317.49, N = 6200238.82109457.22108214.13108992.18269936.53270104.13131518.68134644.45133323.28133859.70255381.30256845.35259865.12168138.07169685.32168360.94167500.97365014.85367142.31365482.97369275.66353127.021. (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: BT.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ60K120K180K240K300KMin: 127307.12 / Avg: 133859.7 / Max: 135494.581. (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

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: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.92541.85082.77623.70164.6272.083241.247041.259941.237562.393552.454681.390931.364241.384053.131623.523284.112671.316111.251171.319341.364613.157933.466163.019833.695433.154041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 JMHThroughputEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD30000M60000M90000M120000M150000M97170984286.6847778078286.7246940897154.8093879223384.3194031661279.0974263319461.1673406196572.8073509705757.09144549128035.96144374275277.1376866468141.0276300637070.9578180523365.99152256140725.20155962060080.56154004696737.31

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ60M120M180M240M300M181975937891673438876864694181873169208195170074317156219935156129061158011864283119445290325927292101313154834651153619991153321203156656917285984318286045569285202681290114254291610831

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: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.36470.72941.09411.45881.82350.6433530.9872890.9386400.9827250.5371000.6128811.6207001.5664001.5632700.5910970.8521620.8098410.8810150.8771280.8941970.8886740.5160000.5622050.5336470.5360170.5007421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 TimeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70M140M210M280M350M18042413996488752101341037964837091787990981766816261619638071667843611644875503062606512969578152923045461684525361719618681634074611670533282927609892825467833043102542992358262940687311. (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

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: 16 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ3K6K9K12K15K7407138921396113823716471588706879087464596455045658649864486298644440243994409442144041. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ7K14K21K28K35K1770533000330483276516939169682075320811208031093010921108392043920409205092049610455104611042510432104481. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ6K12K18K24K30K14780279322782727909143211433017507175251756491889236912917365173411735517348884288238813883888301. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4K8K12K16K20K88371642116446163828482845410362103721041754425407544010241101891024510281521652175209522352311. (CXX) g++ options: -O3 -lm -ldl

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2004006008001000358.42862.07854.70862.07401.61373.13520.83515.46518.14273.22290.70286.53806.45806.45806.45806.45366.30377.36350.88324.68370.371. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ6K12K18K24K30K15259283152840628318146151457317731177191777093619389939217449174821746017524902190089061902690121. (CXX) g++ options: -O3 -lm -ldl

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015058.04114.85114.96114.7859.8359.6370.4870.4870.3036.4736.8736.6374.1474.1874.2574.0638.1638.2638.0538.0437.73

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: Random ReadEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD120M240M360M480M600M3836921701868411371830018793642526813628506342872670862865559612877263965657496125673010225723803272709511592719457012726225895368310505400852295412145595369725041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ3K6K9K12K15K7575140311410614119730173128835884988624671464446578718873987458760452245164520452345151. (CXX) g++ options: -O3 -lm -ldl

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ61218243016.316708.264868.265598.2775315.9710015.9937013.7066013.6941013.7037025.7848025.7578025.8215013.4515013.4525013.4442013.4305025.5771025.5855025.5888025.5514025.50930

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: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ20040060080010005561021101410185305296426446473403423426386356376373313323313313291. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ20040060080010004778738678724574565485515512912932915445455445452832842842842841. (CXX) g++ options: -O3 -lm -ldl

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ481216209.958445.165275.139085.159139.936629.924048.644438.654248.6385315.8530015.7974015.776408.554208.521098.557448.5629815.7933015.7863015.7584015.7127015.72210

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ15K30K45K60K75K44663.124990.126239.626239.649980.151199.123854.123067.723324.146648.146648.146648.135579.135579.135579.134986.171158.169972.269972.269972.269972.21. (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: Pabellon Barcelona - Compute: CPU-OnlyEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD30609012015072.26141.36141.0473.8973.8287.8687.2687.9246.0746.3545.8991.2891.1391.3347.2147.0147.1146.73

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4812162010.398205.398765.342885.3913110.3182010.322609.008879.016009.0536816.3997016.3971016.446008.964088.949868.941148.9181716.4414016.4058016.3884016.4402016.45730

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: 1 - Renderer: Path TracerEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ20040060080010004678578528554474485435455442872892885405365385392802812792792791. (CXX) g++ options: -O3 -lm -ldl

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 - DegriddingEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ13K26K39K52K65K41160.120580.021420.121420.141160.141983.322331.522817.022817.044663.144663.144192.932294.832294.832294.830422.762661.662661.661740.162661.662661.61. (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: Barbershop - Compute: CPU-OnlyEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD100200300400500236.80441.27441.32230.69231.47275.84274.83274.08151.58152.10152.81280.13279.98280.94280.08147.24147.76147.35148.65

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ80016002400320040001841.591251.431293.301208.172591.402385.321336.301349.281307.753617.302877.273402.161377.701308.231327.561296.203544.963278.883184.753216.633355.721. (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: BMW27 - Compute: CPU-OnlyEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ102030405022.5843.5943.6643.4523.4023.4727.7127.7827.6715.1214.9414.8528.6028.8028.8528.8315.4515.3415.3315.3215.40

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: CrownEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015072.6744.1044.2643.6479.4879.6862.7062.1562.43109.73110.97110.6366.7266.1966.6366.03126.63125.94125.95127.82127.84

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-OnlyEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ132639526529.7556.5456.3956.7229.8030.3136.3735.9136.1919.6019.9419.7837.0837.0937.6037.2519.6619.5620.3619.5419.69

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: CrownEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015066.9140.1040.2040.1573.6073.5757.5757.3257.53100.6399.99100.1061.2861.3061.2961.08114.17114.83114.87115.15115.35

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ90K180K270K360K450KSE +/- 585.85, N = 3272016.08174334.81173233.64170007.97301386.03305955.72144536.23144402.16145863.69145564.29294931.77286165.13290495.09255503.38256793.74251895.16251099.18395792.83412278.56403779.74391750.98403464.971. (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: LU.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70K140K210K280K350KMin: 144421.45 / Avg: 145564.29 / Max: 146359.511. (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

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: 128 - Buffer Length: 256 - Filter Length: 57EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ1200M2400M3600M4800M6000M3997200000197190000019804000001985500000389780000038953000003004100000300320000030038000005564600000555480000055506000002907600000291170000029097000002906600000554950000055502000005542100000557800000055882000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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: DLSC - Acceleration: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4812162010.235.965.845.888.989.049.349.619.6716.4314.2813.908.999.029.029.0516.3115.9213.5315.9913.92

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 Inference - Data Type: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70014002100280035001797.021275.661302.491271.652641.052137.781237.851348.861375.643290.523085.413421.431286.901316.811321.291336.653195.643341.813371.353241.093327.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 RateEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ122436486021.9318.5318.6418.5030.1331.0224.2924.0324.3738.5141.6541.2028.0329.3228.5728.6951.0948.6450.3050.7049.751. (CC) gcc options: -O3 -march=native -fopenmp

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/scivis/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015085.2144.7744.6144.7983.0882.7869.9670.0869.89121.00121.97121.3168.6168.6768.5968.44122.83123.04122.83123.05122.58

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: Read While WritingEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD4M8M12M16M20M813236260944786058729935210595847009467402915410792633941475960014147743143824661151923599536299894284163495071502709915559818166548561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/ao/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30609012015088.9846.6546.6146.6386.6386.4273.3473.2473.19125.57125.38124.5771.8571.5071.5371.32127.45126.90127.49127.36126.54

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 19EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010050.2095.1495.1795.2152.1452.2662.5162.5462.5338.7037.2337.9361.2061.2261.3061.4635.7535.9535.5235.4535.04

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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70014002100280035001765.011273.891283.481292.862317.022409.681379.651331.641332.213157.773103.033406.791334.921448.841325.851294.303223.153206.183412.543377.993258.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 AtomsEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.13030.26060.39090.52120.6515SE +/- 0.00081, N = 30.305930.576480.578800.578970.306890.306210.393560.381050.380040.380940.227170.227910.245000.379900.379800.380910.381720.225650.226060.227690.222680.22442
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ246810Min: 0.38 / Avg: 0.38 / Max: 0.38

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: super-resolution-10 - Device: CPU - Executor: ParallelEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD120024003600480060004028546154304350421141444038409821342631271941884227414028792693252130801. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ1.26122.52243.78365.04486.306SE +/- 0.04430682, N = 33.329941995.174355985.157979015.232262132.616748092.723025085.605312825.479650975.427392965.514664973.161489013.140975953.135489944.680984974.646090034.598102094.693853862.233441112.261838912.216892962.250246052.394201041. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ246810Min: 5.46 / Avg: 5.51 / Max: 5.61. (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: CG.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ11K22K33K44K55KSE +/- 189.57, N = 339363.0645231.1741416.6642004.4140661.7540478.0220470.9825401.0425634.8625028.1644101.5944763.8446043.4839484.1238411.8437939.5637455.2450925.4649917.0050666.8648761.1948800.511. (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: CG.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ9K18K27K36K45KMin: 24719 / Avg: 25028.16 / Max: 25372.811. (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

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 ScalarEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2PEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4080120160200112656565112105104104156158158100100100100158158158160158

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ51015202515.489.029.079.0314.7814.9013.9113.8813.3020.7820.7220.6513.6913.7513.6813.3321.1621.4621.0321.0221.02

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.i3dEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ130260390520650SE +/- 0.15, N = 3318.38620.27621.70622.99286.68286.20604.54605.64604.78604.52298.41299.90298.52576.26574.72576.66578.17266.38264.92265.03265.94265.081. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ110220330440550Min: 604.22 / Avg: 604.52 / Max: 604.681. (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

OSPray

OpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/pathtracer/real_timeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70140210280350266.92325.93327.96327.88179.90146.19305.53298.55305.79227.21154.16228.23314.61317.48314.50315.77140.68140.84144.02141.84143.89

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: MG.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30K60K90K120K150KSE +/- 253.46, N = 3103087.3159393.8160143.2458218.15132179.89133651.5557396.8157684.6457597.2158421.60100635.00100404.62102256.3661348.2459552.4159437.0060742.43123313.90127123.60124012.75121817.60123414.121. (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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ20K40K60K80K100KMin: 58048.46 / Avg: 58421.6 / Max: 58905.321. (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 193 Cells Per DirectionEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ510152025SE +/- 0.07766924, N = 312.3209553019.9380283019.6562710020.0080719010.9737082010.9089584021.9283257021.9780293021.8463249021.8348249010.9625998010.8938484011.0347834017.9533310017.5758572017.9794254017.942754709.905960089.675087939.621322639.754734049.709309581. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ510152025Min: 21.7 / Avg: 21.83 / Max: 21.971. (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

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: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.27850.5570.83551.1141.39250.8206280.5495450.5457540.5565890.8109920.8229030.7512430.7194190.7178131.2105101.2378601.2282300.6422740.6379820.6359370.6382991.1039701.0927501.0888701.1113000.9650791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: ReactorEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD120240360480600253.96299.64280.86338.02352.42342.36316.99316.39569.39574.74512.18345.69340.18340.38541.86529.44515.65

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_bareEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ36912157.2604.9494.9444.9208.1548.1885.6685.6625.66210.07510.21610.1587.2037.2217.2417.23811.03311.05410.93911.00110.9291. (CXX) g++ options: -O3

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 DragonEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010064.8743.6944.2344.2673.6175.2565.2365.1365.8263.6069.9368.5570.8970.7470.5170.7491.6193.7396.7097.6195.84

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 2.5km2 x AMD EPYC 75F3 32-CoreEPYC 7763AMD 7763EPYC 7763 2P7773X AMD7773X 2P AMD4K8K12K16K20K9589.9016617.0416601.818407.7215589.957468.801. (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

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: allmodconfigEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ70140210280350186.73336.43336.53336.59193.38192.59241.23240.47240.56159.79156.58157.44236.21235.92235.96236.41155.82154.77153.76153.91152.93

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.96461.92922.89383.85844.8232.005702.811852.774152.805621.959252.082063.129103.104893.172843.871863.799893.997923.445453.448283.446213.436533.925334.287244.006214.207944.233771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2PEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ50100150200250181116115115185174174174241244241174174174174250249251250247

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ9K18K27K36K45K37349.7520691.4720554.7420630.3041615.2240978.2919293.5719241.1519190.5536990.1237401.8237340.8921730.9921584.0721926.3021615.6541405.7841270.7641275.0741365.8341120.951. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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.DEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ12002400360048006000SE +/- 18.89, N = 34381.742828.062781.482842.464785.944860.362662.302653.092623.992658.364533.154629.604647.472876.112858.352823.102811.975555.405592.565539.835574.735508.491. (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: IS.DEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ10002000300040005000Min: 2621.08 / Avg: 2658.36 / Max: 2682.291. (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

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 DragonEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010067.8447.9048.0648.9478.0178.4871.0070.2770.5271.0168.5271.7678.4978.2677.3478.3895.5697.4995.74100.20101.69

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: yolov4 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD1102203304405503055155193072564324364283203132784084404232762482532651. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30K60K90K120K150KSE +/- 29.88, N = 3106308.9362206.5261771.3761565.94104820.24104001.4562461.2362466.7262472.0862298.85118198.63121651.13119239.7264229.8064625.4164305.6563877.62126947.29124952.45127460.43128667.50128599.941. (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: FT.CEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ20K40K60K80K100KMin: 62243.48 / Avg: 62298.85 / Max: 62346.021. (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

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: bertsquad-12 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD20040060080010004248448854614827317307365465475467766037426056995656981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 ObjEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010055.8839.1839.2638.9666.0265.8057.7354.3957.8556.9259.7057.5362.8362.7062.7162.7480.1480.9876.4176.1779.35

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ40K80K120K160K200KSE +/- 999.48, N = 5170824.44114146.22114045.29114522.08171285.17160137.5187833.8490087.6390142.3490089.60138475.31144792.53148188.64147678.54138845.08140678.26161516.72177635.86164921.88169611.90175816.24174418.871. (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: SP.BEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ30K60K90K120K150KMin: 86537.82 / Avg: 90089.6 / Max: 91828.571. (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

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 Dragon ObjEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010059.7544.2443.9744.2971.1871.2765.4062.7061.6159.5159.1160.6770.9571.0770.9370.9388.3382.4583.1481.5483.81

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ400M800M1200M1600M2000MSE +/- 460049.76, N = 319125480001069431000106913500010748080001957203000194581700010107630001012878000101276500010121356671935317000193508000019389230001055354000105501800010580370001055997000199505600020003260002005977000199555300019986190001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763AMD EPYC 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ300M600M900M1200M1500MMin: 1011471000 / Avg: 1012135666.67 / Max: 10130190001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

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 SecondEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ600K1200K1800K2400K3000K2304553.091357754.051364896.571379409.442283267.932235287.271849176.541857585.141831100.092570969.472502769.992388802.491930521.341936557.571944402.251931492.382553700.872558635.392568218.302684188.452631038.031. (CC) gcc options: -O2 -lrt" -lrt

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.26020.52040.78061.04081.3010.6873271.1527001.1535601.1566500.6915740.6946830.8657990.8644710.8617950.6348420.6239530.6283720.8507630.8514930.8535130.8461120.6087720.6051200.6182950.6097500.6122461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ3K6K9K12K15K14664.709424.999435.439424.9912119.8011155.707687.977686.247693.188999.4110475.1013885.008264.018270.028288.128268.0210900.609650.5110891.9011029.4011428.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ800M1600M2400M3200M4000M3681600000195970000019528000001961600000354330000035281000002793500000279610000028058000002755300000276780000027773000002783100000278160000027831000002768900000286650000028594000002862900000293830000029267000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 TimeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ481216208.51814.86514.72714.7129.0429.46610.22310.26210.4138.1238.1238.05210.55410.52610.63710.3997.9508.0058.1547.8857.9641. (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

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4080120160200115.72186.19186.85186.05118.61118.63148.49148.43149.05106.96108.03108.61141.15141.53142.25143.02101.04104.55101.76100.1799.99

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ153045607555.3466.4766.6466.7351.0151.2768.6469.3069.1442.1441.7541.9558.3858.4058.6458.6637.9938.0837.8537.6038.591. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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 CompileEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010050.1353.0853.2253.1963.9863.2869.3869.3268.1291.8292.3388.4664.4263.6263.7863.9782.7682.6882.2679.7381.241. (CC) gcc options: -m64 -ldl -lxkbcommon -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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 ProteinEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ71421283530.2316.6317.7118.8827.7625.4522.1021.9026.7226.8326.3528.6323.7427.7027.0423.0130.4127.8627.9828.7028.881. (CXX) g++ options: -O3 -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ91827364528.2820.3420.4420.5027.1327.1029.0928.7829.2136.1636.0136.2328.9329.1729.2128.4436.9937.0336.5936.5636.461. (CXX) g++ options: -O3 -lm

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: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD40080012001600200011651724175213171341160515591500108510071039165416791661986985108110001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 FacadeEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2K4K6K8K10K6832549755365579600660558309820082519492971685966327634263556373690068696943700067961. (CXX) g++ options: -O3

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: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2468106.434.674.674.655.645.737.087.126.998.147.167.047.207.167.227.347.437.037.397.407.87

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: yolov4 - Device: CPU - Executor: ParallelEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD1202403604806004875455493353215305325354534564475375345413443433573541. (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 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD4008001200160020001329162416121150115817421744176111591170121116381637163410371065108310761. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2040608010044.1750.1449.9350.2549.5449.2051.8051.5951.3274.6272.4174.4548.1048.0048.6448.7170.2870.0071.0571.4270.52

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: Read Random Write RandomEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD700K1400K2100K2800K3500K3101945334546532984632545019254991632674253431398342029821156682136708266177335012153410022339374427167562656114263923426314241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ61218243020.8218.9219.6020.0420.8521.3622.5024.1522.6216.6717.1917.2326.6727.0127.5627.3517.8217.9817.9018.7618.05

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: bertsquad-12 - Device: CPU - Executor: ParallelEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD1603204806408005817547575045075915895885375415435785765704724744674731. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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: LionEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ160032004800640080005177455546114655502551486355641364126853734567175302534853275355609661886169620755871. (CXX) g++ options: -O3

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: LuxCore Benchmark - Acceleration: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ2468105.824.914.934.945.306.107.747.687.707.517.647.437.477.497.377.457.267.806.857.187.10

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 19EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ61218243018.7717.2617.1117.0418.7919.2323.9023.6223.8225.2625.7226.6020.0319.9919.9819.9524.2522.8721.8021.2621.23

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ71421283520.8831.6031.6931.6522.7522.6026.7526.7626.6421.6221.6321.4725.8325.8425.7425.8220.6220.7520.7520.7921.14

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: u8s8f32 - Engine: CPUEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.24280.48560.72840.97121.2140.7888611.0786201.0790101.0784100.8872550.9788070.8132040.7640970.8184030.7681790.7333390.7042070.7446320.7367400.7441450.7411810.8239780.7179020.7187850.7612670.7613051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ4080120160200110.64168.93169.47168.45117.15117.79144.12143.27143.08126.30122.99121.74135.44134.97135.17134.88115.83116.61117.50115.83119.25

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 - GriddingEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ160032004800640080006698.266403.756418.226403.757691.446633.085107.265097.335109.565691.045653.275731.715460.795465.165484.515474.825405.786223.096012.846014.435624.351. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD501001502002501671501531901771751711702092022051781761482132092052171. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 9EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ0.86671.73342.60013.46684.33352.6772.8922.9002.9383.2243.2203.5543.5513.5443.8333.8523.7363.4163.4243.4273.4263.7563.7283.7233.6853.674

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ36912159.6938.8298.8758.9148.6828.54111.45311.30511.43611.85512.21612.0818.9659.0428.9978.9888.9929.2959.4079.9059.524

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 MakefilesEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ50100150200250171.85240.82236.28241.21187.91184.64218.42217.95218.51205.95204.70203.37207.94208.82207.23207.81194.92192.33192.30194.08192.31

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 CompileEPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ36912158.96912.52612.51512.5489.9299.80811.40011.49211.42010.02810.13010.06310.99110.92910.97010.9909.7039.7439.5499.6049.579

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 3EPYC 75F3 2P A7573X 1P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773XAMD EPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMDQ1.20112.40223.60334.80446.00553.8995.3055.3265.3384.7654.5514.9344.9394.9435.0244.8914.7064.8024.7804.8134.7884.8554.9664.6384.5514.342

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 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD246810SE +/- 0.103, N = 48.5546.3056.4046.4258.0078.3531. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 10, Lossless7763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD3691215Min: 8.39 / Avg: 8.55 / Max: 8.831. (CXX) g++ options: -O3 -fPIC -lm

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: AUSURF1122 x AMD EPYC 75F3 32-CoreEPYC 7573XEPYC 7573X 2PEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD90180270360450323.26347.98304.83405.98405.45407.73401.43407.37389.67390.74392.36388.65383.71386.041. (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

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 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD1.14412.28823.43234.57645.7205SE +/- 0.061, N = 35.0853.8473.9973.9294.8314.8871. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 67763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD246810Min: 4.96 / Avg: 5.09 / Max: 5.161. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, Lossless7763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD3691215SE +/- 0.142, N = 310.1357.8658.1038.0969.8959.6131. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, Lossless7763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD3691215Min: 9.92 / Avg: 10.14 / Max: 10.41. (CXX) g++ options: -O3 -fPIC -lm

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: fcn-resnet101-11 - Device: CPU - Executor: ParallelEPYC 75F3 2P AEPYC 7573XAMD EPYC 7373XEPYC 7573X 2P7573X 2P AMDEPYC 7763EPYC 7763 1PAMD 7763EPYC 7763 2PAMD 7763 2P7763 2P7773X 1PEPYC 7773X7773X AMDEPYC 7773X 2PAMD EPYC 7773X 2PAMD 7773X 2P7773X 2P AMD3060901201501301211211261251411421421381411421361351371281341291301. (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: 27763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD1224364860SE +/- 0.46, N = 351.7744.7745.2344.9949.6549.731. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 27763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD1020304050Min: 51.3 / Avg: 51.76 / Max: 52.681. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 07763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD20406080100SE +/- 0.12, N = 393.3083.5683.1083.5290.4390.541. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 07763 TwoP7773X 1PEPYC 7773X7773X AMDAMD EPYC 7773X 2P7773X 2P AMD20406080100Min: 93.06 / Avg: 93.29 / Max: 93.431. (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.

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: 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.

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: 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: 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: 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.

127 Results Shown

oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
ONNX Runtime
BRL-CAD
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - f32 - CPU
ONNX Runtime
oneDNN
NAS Parallel Benchmarks
ASKAP
oneDNN
ONNX Runtime
Facebook RocksDB
ASKAP
NAS Parallel Benchmarks
RELION
NAS Parallel Benchmarks:
  EP.D
  BT.C
oneDNN
Java JMH
asmFish
oneDNN
Stockfish
OSPray Studio:
  1 - 1080p - 16 - Path Tracer
  3 - 1080p - 32 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  3 - 1080p - 16 - Path Tracer
ASKAP
OSPray Studio
Blender
Facebook RocksDB
OSPray Studio
OSPray
OSPray Studio:
  3 - 1080p - 1 - Path Tracer
  2 - 1080p - 1 - Path Tracer
OSPray
ASKAP
Blender
OSPray
OSPray Studio
ASKAP
Blender
oneDNN
Blender
Embree
Blender
Embree
NAS Parallel Benchmarks
Liquid-DSP
LuxCoreRender
oneDNN
ACES DGEMM
OSPray
Facebook RocksDB
OSPray
KTX-Software toktx
oneDNN
NAMD
ONNX Runtime
Xcompact3d Incompact3d
NAS Parallel Benchmarks
OpenVKL
LuxCoreRender
Xcompact3d Incompact3d
OSPray
NAS Parallel Benchmarks
Xcompact3d Incompact3d
oneDNN
Java Gradle Build
GROMACS
Embree
WRF
Timed Linux Kernel Compilation
oneDNN
OpenVKL
LULESH
NAS Parallel Benchmarks
Embree
ONNX Runtime
NAS Parallel Benchmarks
ONNX Runtime
Embree
NAS Parallel Benchmarks
Embree
Algebraic Multi-Grid Benchmark
Coremark
oneDNN
ASKAP
Liquid-DSP
POV-Ray
Timed LLVM Compilation
GPAW
Timed Wasmer Compilation
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
ONNX Runtime
Google Draco
LuxCoreRender
ONNX Runtime:
  yolov4 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Parallel
Timed Godot Game Engine Compilation
Facebook RocksDB
LuxCoreRender
ONNX Runtime
Google Draco
LuxCoreRender
KTX-Software toktx
Timed Linux Kernel Compilation
oneDNN
Timed Node.js Compilation
ASKAP
ONNX Runtime
KTX-Software toktx:
  Zstd Compression 9
  UASTC 3 + Zstd Compression 19
Timed LLVM Compilation
Timed MPlayer Compilation
KTX-Software toktx
libavif avifenc
Quantum ESPRESSO
libavif avifenc:
  6
  6, Lossless
ONNX Runtime
libavif avifenc:
  2
  0