Ubuntu 22.04 Server Benchmarks AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
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phoronix-test-suite benchmark 2209132-NE-UBUNTU22004 EPYC 7713 2P Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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 affected
EPYC 7713 Changed Processor to AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads) .
Changed Memory to 256GB .
Ubuntu 22.04 Server Benchmarks Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution EPYC 7713 2P EPYC 7713 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 512GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads) 256GB OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 Java Details - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) Python Details - Python 3.10.4 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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 affected
EPYC 7713 2P vs. EPYC 7713 Comparison Phoronix Test Suite Baseline +99.2% +99.2% +198.4% +198.4% +297.6% +297.6% +396.8% +396.8% 396.9% 366.9% 347.8% 343.4% 342.1% 339.8% 339.3% 310% 215.8% 155.9% 152% 150.4% 138.9% 131% 124.3% 120.9% 119.7% 116.7% 116.7% 113.2% 112.8% 110% 107.7% 106.3% 100% 99.1% 92.6% 92.1% 92.1% 91.6% 91.5% 91.1% 91.1% 89.4% 88.7% 88.1% 85.6% 76.4% 75.4% 69.3% 62.9% 62% 61.1% 56.8% 53.1% 45.8% 45.1% 37.6% 31.5% 30.8% 30.5% 29.9% 28.8% 28.4% 26.4% 26% 24.4% 24.3% 23.8% 22.5% 21.9% 19.4% 19.2% 18.9% 18.8% 17.7% 17.6% 14.4% 14.3% 14.3% 13.9% 12% 9.1% 9% 9% 8.2% 8% 7.7% 7.3% 6.7% 6.6% 6.4% 6% 4.8% 4.6% 3.8% 3.8% 3.8% 3.8% 3.4% 3.4% 3.2% 3% 2.9% 2.9% 2.9% 2.7% 2.6% 2.6% 2.5% 2.5% 2.5% 2.3% 2.2% 2.2% 2.1% 2.1% 2% 50 - 1:5 50 - 1:1 V.P.M 364.5% 50 - 5:1 100 - 250 - Read Write - Average Latency 100 - 250 - Read Write 100 - 500 - Read Write - Average Latency 100 - 500 - Read Write 2048 Spaceship R.N.N.T - f32 - CPU R.N.N.T - u8s8f32 - CPU R.N.N.T - bf16bf16bf16 - CPU M.M.B.S.T - u8s8f32 - CPU R.N.N.I - bf16bf16bf16 - CPU d.S.M.S - Execution Time 125% SP.C 124.4% R.N.N.I - f32 - CPU Material Tester R.N.N.I - u8s8f32 - CPU PUT - 500 - 100 - Average Latency RANGE - 500 - 100 - Average Latency RANGE - 500 - 100 RANGE - 100 - 100 d.L.M.S - Execution Time 112.3% PUT - 500 - 100 RANGE - 100 - 100 - Average Latency PUT - 100 - 100 X.b.i.i 102.8% sedovbig 101.3% CoreMark Size 666 - I.P.S 100.7% PUT - 100 - 100 - Average Latency tConvolve MPI - Gridding 99.3% A.G.R.R.0.F.I - CPU Rand Read 98.4% RSA4096 98.3% RSA4096 98.3% CPU 98.1% SHA256 97.7% Exhaustive 97.5% tConvolve MPI - Degridding 96.2% F.D.F - CPU 96.1% conus 2.5km 96% EP.D 95.1% 14 digit 94.8% 94.2% Basic - CPU 93.6% 256 - 256 - 57 93.4% 500 1e13 92.4% FT.C 92.4% P.D.F - CPU 92.2% RANGE - 500 - 1000 P.D.F - CPU 92.1% PUT - 500 - 1000 Thorough 92% Time To Solve 91.9% PUT - 500 - 1000 - Average Latency RANGE - 500 - 1000 - Average Latency LU.C 91.2% V.D.F - CPU 91.1% PUT - 100 - 1000 - Average Latency PUT - 100 - 1000 1 - 4K - 32 - Path Tracer 90.4% 90% 3 - 4K - 32 - Path Tracer 89.5% RANGE - 100 - 1000 2 - 4K - 32 - Path Tracer 89.4% CG.C 89.3% EP.C 89.2% 88.8% RANGE - 100 - 1000 - Average Latency Classroom - CPU-Only 88.7% P.V.B.D.F - CPU 87.9% 128 - 256 - 57 87.9% M.T.E.T.D.F - CPU 87.5% Total Time 87.1% F.D.F.I - CPU 86.4% V.D.F.I - CPU 85.7% 1000 W.P.D.F.I - CPU 85.2% W.P.D.F - CPU 84.9% BT.C 84.2% 83.9% 1.H.M.2.D 79.3% D.R 78.8% Pabellon Barcelona - CPU-Only 78.7% 1 - 4K - 1 - Path Tracer 78.6% 1 - 4K - 16 - Path Tracer 78.6% 3 - 4K - 16 - Path Tracer 77.8% 3 - 4K - 1 - Path Tracer 77.5% Monero - 1M 77.4% IS.D 77.1% BMW27 - CPU-Only 77% 4096 2 - 4K - 16 - Path Tracer 76.1% MG.C 75.7% ArcFace ResNet-100 - CPU - Standard 2 - 4K - 1 - Path Tracer 75.3% Fishy Cat - CPU-Only 74.6% Barbershop - CPU-Only 74.5% Pathtracer ISPC - Crown 74.4% OpenMP LavaMD 74.1% Pathtracer - Crown 72.9% leblancbig 72.4% ATPase Simulation - 327,506 Atoms 70.2% allmodconfig 69.9% Q.1.C.E.5 Carbon Nanotube 63.4% H.C.O L.E.H RT.hdr_alb_nrm.3840x2160 61.4% A.G.R.R.0.F - CPU Medium 60.9% RT.ldr_alb_nrm.3840x2160 60.3% MPI CPU - water_GMX50_bare 60.1% Read While Writing 58.6% SP.B 58.6% F.H.R S.F.P.R 53.6% 100 - 250 - Read Only - Average Latency 53.2% Savina Reactors.IO 100 - 250 - Read Only 52.8% Sharpen 52.4% 1 - Bosphorus 4K 52.2% Ninja 51.9% Orange Juice - CPU 49% Bosphorus 4K - Very Fast 47.8% 100 - 500 - Read Only - Average Latency 47.2% Compression Rating 47.2% DLSC - CPU 46.8% 100 - 500 - Read Only 46.8% C.B.S.A - f32 - CPU 45.9% GET - 1000 super-resolution-10 - CPU - Standard Time To Compile 44.5% Enhanced 42.8% Trace Time 40.7% RAM / Memory defconfig 36.3% UASTC Level 3 34.9% 3 - D.S ALS Movie Lens 9 - D.S A.S.P Q.9.C.E.7 29.2% 1000 All fcn-resnet101-11 - CPU - Standard 28.1% Time To Compile 27.2% yolov4 - CPU - Standard 500 R.C.a.P - CPU Bosphorus 4K S.C.c.j 64 - 256 - 57 23.8% I.M.D.S Unix Makefiles 22.3% A.G.R.R.0.F - CPU 22.2% R.R.W.R Disney Material 21.4% UASTC Level 2 21% Danish Mood - CPU 21% 26 20.6% Writes HWB Color Space GPT-2 - CPU - Standard 26 18.8% 19, Long Mode - Compression Speed Pathtracer ISPC - Asian Dragon 18.2% Speed 9 Realtime - Bosphorus 4K Update Rand A.G.R.R.0.F.I - CPU 16.2% Wownero - 1M 15.1% Q.7.C.E.7 14.6% d.L.M.S - Mesh Time 14.5% Speed 5 - Bosphorus 4K 10 - Bosphorus 4K BLAS 14.3% Tradebeans C240 Buckyball 14.1% Emily Time To Compile 13.9% Eigen 13.8% Small 12.8% Speed 10 Realtime - Bosphorus 4K d.S.M.S - Mesh Time 11.9% LuxCore Benchmark - CPU 11.5% Time To Compile 11% Time To Compile 10.8% Pathtracer - Asian Dragon 9.4% scikit_qda OpenMP Leukocyte Apache Spark Bayes OpenMP CFD Solver 8.9% W.P.D.F - CPU W.P.D.F.I - CPU Default 7.8% V.D.F.I - CPU F.D.F.I - CPU bertsquad-12 - CPU - Standard M.T.E.T.D.F - CPU P.V.B.D.F - CPU Preset 10 - Bosphorus 4K Time To Compile 5.3% 7 - Bosphorus 4K 5.1% OFDM_Test V.D.F - CPU P.D.F - CPU P.P.B JPEG - 7 P.D.F - CPU Time To Compile 3.7% Bosphorus 4K - Ultra Fast 3.5% PNG - 7 OPTIONS, Stateful G.A.U.J.F 26 3.2% 10, Lossless Preset 8 - Bosphorus 4K 6 Preset 12 - Bosphorus 4K 26 2.7% 9 - Compression Speed CPU - MobileNet v2 UASTC Level 0 scikit_ica C7552 3 - Compression Speed S.C.m.j 2.3% Rotate Lion 19 - D.S 2.1% Time To Compile 6, Lossless Default 2.1% PNG - 8 Dragonflydb Dragonflydb BRL-CAD Dragonflydb PostgreSQL pgbench PostgreSQL pgbench PostgreSQL pgbench PostgreSQL pgbench MariaDB Natron oneDNN oneDNN oneDNN oneDNN oneDNN OpenFOAM NAS Parallel Benchmarks oneDNN Appleseed oneDNN etcd etcd etcd etcd OpenFOAM etcd etcd etcd Xcompact3d Incompact3d Pennant Coremark etcd ASKAP OpenVINO Facebook RocksDB OpenSSL OpenSSL Sysbench OpenSSL ASTC Encoder ASKAP OpenVINO WRF NAS Parallel Benchmarks Helsing High Performance Conjugate Gradient RELION Liquid-DSP nginx Primesieve NAS Parallel Benchmarks OpenVINO etcd OpenVINO etcd ASTC Encoder m-queens etcd etcd NAS Parallel Benchmarks OpenVINO etcd etcd OSPRay Studio Algebraic Multi-Grid Benchmark OSPRay Studio etcd OSPRay Studio NAS Parallel Benchmarks NAS Parallel Benchmarks LULESH etcd Blender Kripke OpenVINO Liquid-DSP OpenVINO Stockfish OpenVINO OpenVINO nginx OpenVINO OpenVINO NAS Parallel Benchmarks ebizzy asmFish 7-Zip Compression Blender OSPRay Studio OSPRay Studio OSPRay Studio OSPRay Studio Xmrig NAS Parallel Benchmarks Blender MariaDB OSPRay Studio NAS Parallel Benchmarks ONNX Runtime OSPRay Studio Blender Blender Embree Rodinia Embree Pennant NAMD Timed Linux Kernel Compilation WebP2 Image Encode GPAW ASKAP CloverLeaf Intel Open Image Denoise OpenVINO ASTC Encoder Intel Open Image Denoise GROMACS Facebook RocksDB NAS Parallel Benchmarks Renaissance ACES DGEMM PostgreSQL pgbench Renaissance PostgreSQL pgbench GraphicsMagick SVT-HEVC Timed LLVM Compilation LuxCoreRender Kvazaar PostgreSQL pgbench 7-Zip Compression LuxCoreRender PostgreSQL pgbench oneDNN Redis ONNX Runtime Timed Node.js Compilation GraphicsMagick POV-Ray Sysbench Timed Linux Kernel Compilation Basis Universal LZ4 Compression Renaissance LZ4 Compression Renaissance WebP2 Image Encode Apache HTTP Server JPEG XL Decoding libjxl ONNX Runtime Timed FFmpeg Compilation ONNX Runtime Apache HTTP Server LuxCoreRender x265 SPECjbb 2015 Liquid-DSP Renaissance Timed LLVM Compilation OpenVINO Facebook RocksDB Appleseed Basis Universal LuxCoreRender Graph500 Apache Cassandra GraphicsMagick ONNX Runtime Graph500 Zstd Compression Embree AOM AV1 Facebook RocksDB OpenVINO Xmrig WebP2 Image Encode OpenFOAM VP9 libvpx Encoding SVT-HEVC LeelaChessZero DaCapo Benchmark NWChem Appleseed Timed Mesa Compilation LeelaChessZero miniFE AOM AV1 OpenFOAM LuxCoreRender Timed Gem5 Compilation Build2 Embree Mlpack Benchmark Rodinia Renaissance Rodinia OpenVINO OpenVINO WebP2 Image Encode OpenVINO OpenVINO ONNX Runtime OpenVINO OpenVINO SVT-AV1 Timed Godot Game Engine Compilation SVT-HEVC srsRAN OpenVINO OpenVINO LibRaw JPEG XL libjxl OpenVINO Timed PHP Compilation Kvazaar JPEG XL libjxl PJSIP Renaissance Graph500 libavif avifenc SVT-AV1 libavif avifenc SVT-AV1 Node.js Express HTTP Load Test Graph500 LZ4 Compression TNN Basis Universal Mlpack Benchmark Ngspice LZ4 Compression SPECjbb 2015 GraphicsMagick Google Draco Zstd Compression Timed Apache Compilation libavif avifenc Timed CPython Compilation JPEG XL libjxl EPYC 7713 2P EPYC 7713
Ubuntu 22.04 Server Benchmarks gpaw: Carbon Nanotube gromacs: MPI CPU - water_GMX50_bare namd: ATPase Simulation - 327,506 Atoms graph500: 26 graph500: 26 graph500: 26 graph500: 26 hpcg: wrf: conus 2.5km relion: Basic - CPU amg: incompact3d: X3D-benchmarking input.i3d kripke: lulesh: pennant: leblancbig pennant: sedovbig minife: Small mt-dgemm: Sustained Floating-Point Rate nwchem: C240 Buckyball qe: AUSURF112 npb: BT.C npb: EP.C npb: EP.D npb: FT.C npb: LU.C npb: SP.B npb: SP.C npb: IS.D npb: MG.C npb: CG.C rodinia: OpenMP CFD Solver rodinia: OpenMP LavaMD rodinia: OpenMP Leukocyte rodinia: OpenMP HotSpot3D openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Large Mesh Size - Mesh Time openfoam: drivaerFastback, Large Mesh Size - Execution Time openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU onnx: yolov4 - CPU - Standard onnx: fcn-resnet101-11 - CPU - Standard onnx: super-resolution-10 - CPU - Standard onnx: bertsquad-12 - CPU - Standard onnx: GPT-2 - CPU - Standard onnx: ArcFace ResNet-100 - CPU - Standard askap: tConvolve MPI - Degridding askap: tConvolve MPI - Gridding askap: Hogbom Clean OpenMP cloverleaf: Lagrangian-Eulerian Hydrodynamics lczero: BLAS lczero: Eigen onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU mlpack: scikit_svm mlpack: scikit_qda mlpack: scikit_ica tnn: CPU - DenseNet tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 tnn: CPU - SqueezeNet v2 build-apache: Time To Compile build-ffmpeg: Time To Compile build-llvm: Ninja build-llvm: Unix Makefiles build-gem5: Time To Compile build-godot: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-mesa: Time To Compile build-nodejs: Time To Compile build-php: Time To Compile build-python: Default build-python: Released Build, PGO + LTO Optimized build-wasmer: Time To Compile build2: Time To Compile dacapobench: Jython dacapobench: Tradebeans renaissance: Savina Reactors.IO renaissance: Apache Spark Bayes renaissance: Apache Spark PageRank renaissance: In-Memory Database Shootout renaissance: Finagle HTTP Requests renaissance: Genetic Algorithm Using Jenetics + Futures renaissance: ALS Movie Lens compress-7zip: Compression Rating compress-7zip: Decompression Rating compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only appleseed: Emily appleseed: Disney Material appleseed: Material Tester povray: Trace Time embree: Pathtracer - Asian Dragon embree: Pathtracer - Crown embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown oidn: RT.hdr_alb_nrm.3840x2160 oidn: RT.ldr_alb_nrm.3840x2160 ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 32 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 2 - 4K - 32 - Path Tracer ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 3 - 4K - 16 - Path Tracer ospray-studio: 3 - 4K - 32 - Path Tracer luxcorerender: DLSC - CPU luxcorerender: Rainbow Colors and Prism - CPU luxcorerender: LuxCore Benchmark - CPU luxcorerender: Orange Juice - CPU luxcorerender: Danish Mood - CPU natron: Spaceship aom-av1: Speed 10 Realtime - Bosphorus 4K aom-av1: Speed 9 Realtime - Bosphorus 4K vpxenc: Speed 5 - Bosphorus 4K kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Ultra Fast svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 10 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-hevc: 1 - Bosphorus 4K svt-hevc: 7 - Bosphorus 4K svt-hevc: 10 - Bosphorus 4K x265: Bosphorus 4K jpegxl: JPEG - 7 jpegxl: JPEG - 8 jpegxl: PNG - 7 jpegxl: PNG - 8 jpegxl-decode: 1 jpegxl-decode: All avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless webp: Default webp: Quality 100 webp: Quality 100, Highest Compression webp: Quality 100, Lossless webp: Quality 100, Lossless, Highest Compression webp2: Default webp2: Quality 75, Compression Effort 7 webp2: Quality 95, Compression Effort 7 webp2: Quality 100, Compression Effort 5 graphics-magick: HWB Color Space graphics-magick: Enhanced graphics-magick: Rotate graphics-magick: Sharpen libraw: Post-Processing Benchmark astcenc: Medium astcenc: Thorough astcenc: Exhaustive basis: UASTC Level 0 basis: UASTC Level 2 basis: UASTC Level 3 draco: Church Facade draco: Lion etcpak: Single-Threaded - ETC2 etcpak: Multi-Threaded - ETC2 mysqlslap: 2048 mysqlslap: 4096 pgbench: 100 - 250 - Read Write pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 250 - Read Only pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 500 - Read Write pgbench: 100 - 500 - Read Write - Average Latency pgbench: 100 - 500 - Read Only pgbench: 100 - 500 - Read Only - Average Latency apache: 500 apache: 1000 nginx: 500 nginx: 1000 ebizzy: cassandra: Writes rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache clickhouse: 100M Rows Web Analytics Dataset, Second Run clickhouse: 100M Rows Web Analytics Dataset, Third Run dragonflydb: 50 - 1:5 dragonflydb: 50 - 1:1 dragonflydb: 50 - 5:1 etcd: PUT - 100 - 100 etcd: PUT - 100 - 100 - Average Latency etcd: PUT - 100 - 1000 etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 500 - 100 etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 500 - 1000 etcd: PUT - 500 - 1000 - Average Latency etcd: RANGE - 100 - 100 etcd: RANGE - 100 - 100 - Average Latency etcd: RANGE - 100 - 1000 etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 500 - 100 etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 500 - 1000 etcd: RANGE - 500 - 1000 - Average Latency node-express-loadtest: node-web-tooling: simdjson: PartialTweets simdjson: LargeRand simdjson: Kostya simdjson: DistinctUserID simdjson: TopTweet redis: GET - 1000 brl-cad: VGR Performance Metric cython-bench: N-Queens pybench: Total For Average Test Times pyperformance: chaos pyperformance: pickle_pure_python pyperformance: python_startup pyperformance: regex_compile numpy: phpbench: PHP Benchmark Suite luaradio: Five Back to Back FIR Filters luaradio: FM Deemphasis Filter luaradio: Hilbert Transform luaradio: Complex Phase srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM srsran: OFDM_Test liquid-dsp: 32 - 256 - 57 liquid-dsp: 64 - 256 - 57 liquid-dsp: 128 - 256 - 57 liquid-dsp: 256 - 256 - 57 pjsip: OPTIONS, Stateful pjsip: OPTIONS, Stateless pjsip: INVITE ngspice: C2670 ngspice: C7552 octave-benchmark: quantlib: helsing: 14 digit primesieve: 1e13 encode-flac: WAV To FLAC encode-mp3: WAV To MP3 blake2: openssl: RSA4096 openssl: RSA4096 openssl: SHA256 xmrig: Monero - 1M xmrig: Wownero - 1M sysbench: CPU sysbench: RAM / Memory ctx-clock: Context Switch Time m-queens: Time To Solve coremark: CoreMark Size 666 - Iterations Per Second synthmark: VoiceMark_100 securemark: SecureMark-TLS asmfish: 1024 Hash Memory, 26 Depth stockfish: Total Time aircrack-ng: spec-jbb2015: SPECjbb2015-Composite max-jOPS spec-jbb2015: SPECjbb2015-Composite critical-jOPS EPYC 7713 2P EPYC 7713 43.857 8.215 0.26712 642516000 659467000 302338000 390377000 37.1011 8650.839 290.961 1923306667 300.691142 143950267 36456.229 3.556570 5.675895 24664.8 32.071227 2183.6 399.92 235808.54 8338.27 9109.24 116679.26 259899.49 142675.55 116527.63 4690.06 100740.89 45587.10 6.283 26.740 47.284 89.280 124.96 281.7 776.38 7052.62 17.59 3597.47 45.84 1388.41 37561.07 3.27 57763.89 2.11 13.10 4777.15 13.09 4774.37 4559.42 28.05 1905.51 33.55 3136.14 20.38 1788.34 35.75 2884.44 22.16 218.13 292.82 330 237 4569 668 7878 877 39742.0 43735.8 319.756 19.44 4449 4093 0.640833 30.0116 7531.12 7435.34 7473.91 2840.33 2754.45 2840.05 21.45 31.84 46.40 3065.920 341.281 273.848 65.894 20.521 14.271 105.032 178.675 159.015 41.167 21.584 160.463 18.100 113.466 38.338 15.39 261.337 51.869 53.232 4106 4568 12254.2 638.1 3985.7 6136.4 10535.4 2314.9 24613.1 516617 634086 84.7 3473.0 39.9 3485.8 54.18 10743.2 52.51 10851.4 17.19 40.89 22.25 53.88 171.52 151.531071 50.464258 336.583119 7.590 68.8759 89.6006 67.1736 82.9263 2.26 2.26 1379 22158 44624 1424 22742 45460 1646 26510 52785 12.23 16.99 7.63 18.60 7.50 1.9 57.04 55.62 13.86 54.24 58.52 179.550 123.806 68.797 15.08 144.70 195.62 21.48 100.77 28.92 10.74 1.00 66.93 569.97 41.213 3.957 7.334 5.558 16.75 10.65 3.47 1.42 0.56 9.70 0.55 0.31 6.41 1093 1344 730 779 37.96 380.6467 58.4744 6.4499 6.379 8.773 11.402 7525 5735 229.637 6678.565 150 140 16633 15.076 1983155 0.126 14261 35.094 2012722 0.248 91255.79 84767.73 90312.00 94018.12 453258 209921 480175332 14564673 2922167 304654 377.52 387.01 396.82 724442.87 724466.22 724635.93 38209.4202 2.6 41860.4825 23.7 38992.8158 2.6 43696.7618 22.8 37230.3273 2.7 42305.6183 23.4 38506.6051 2.6 44040.7135 22.6 6198 10.50 3.84 1 2.9 4.42 4.39 1364479.13 3240515 23.312 953 95.8 385 7.71 155 469.38 726003 1211.6 364.3 98.4 623.8 392.3 143.6 427.4 149.6 394.1 133.6 426.1 141.0 127.9 62.2 130333333 1614266667 3191533333 5085066667 5350900000 8819 67617 4692 137.362 105.951 6.545 2808.8 62.129 28.718 18.133 7.490 3.39 25009.6 1638050.5 134629156527 50749.6 41982.9 500125.79 7260.66 120 6.376 4105747.139772 748.057 249582 248870519 279486942 149778.797 130899 68946 71.658 5.130 0.45457 622681000 642278000 254477000 323593000 19.1088 16959.848 563.271 1012051667 609.677470 270722527 19305.656 6.133060 11.42723 21875.1 20.880271 2491.1 397.64 127998.61 4406.02 4668.96 60659.25 135917.43 89950.76 51921.71 2648.96 57329.70 24085.73 6.845 46.547 43.392 88.019 139.89 633.93 888.82 14972.97 8.97 3555.78 24.59 1293.51 30742.17 2.03 49691.03 1.06 6.82 4601.78 6.81 4600.94 2462.40 25.97 1030.76 31.02 1689.18 18.93 935.58 34.17 1535.08 20.82 116.33 274.57 417 185 6631 713 9368 1538 20252.1 21943.0 520.840 12.00 3893 3598 0.934706 12.5608 2943.08 2950.43 2984.47 1266.20 1253.50 1229.56 21.33 29.19 45.27 3107.102 332.611 273.481 65.617 20.100 18.146 159.575 218.445 176.430 43.354 29.409 272.609 20.610 164.001 39.763 15.708 261.365 51.965 58.956 4033 3998 8004.9 585.6 3067.3 5009.2 6720.8 2243.2 18814.1 351077 354608 84.9 3401.6 47.4 3460.3 55.43 14123.3 53.89 14156.7 30.43 77.14 38.85 96.30 299.30 133.04347 61.265637 152.394204 10.680 62.9814 51.8334 56.8098 47.5583 1.40 1.41 2463 39568 84968 2496 40058 86081 2922 47134 100051 8.33 21.13 6.84 12.48 6.20 6.0 63.90 65.49 15.86 36.71 56.53 184.711 131.270 70.783 9.91 137.74 223.66 26.69 104.58 29.24 11.11 1.02 67.62 731.88 40.766 3.846 7.184 5.398 16.78 10.69 3.48 1.40 0.56 9.00 0.48 0.24 10.85 1303 941 746 511 39.40 236.6020 30.4554 3.2659 6.221 10.615 15.385 7411 5613 230.432 6702.518 615 247 73527 3.400 1297684 0.193 62654 7.980 1370935 0.365 115006.99 109150.30 173899.19 174524.79 246494 250596 242074798 9182167 3561841 358336 378.44 392.92 394.98 3599739.57 3382696.79 3244708.36 78829.5888 1.3 79978.1905 12.4 81895.9623 1.2 83927.6558 11.9 79219.6509 1.3 80131.7958 12.4 82098.4178 1.2 84602.7803 11.8 6367 10.60 3.86 1 2.9 4.40 4.39 1990067.33 697698 23.384 959 96.5 387 7.64 156 464.56 733332 1189.0 365.4 98.6 628.9 396.0 143.6 430.5 149.6 394.4 133.7 431.8 141.4 128.9 62.4 136633333 1605566667 2577666667 2706900000 2767166667 9115 66602 4690 136.020 103.387 6.582 2795.3 120.999 55.255 18.129 7.472 3.39 12613.1 825904.1 68101809853 28612.4 36467.2 252440.57 9990.12 120 12.238 2045229.645896 747.308 247747 138776102 149383689 149666.943 127957 85389 OpenBenchmarking.org
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.
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.
Graph500 This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org bfs median_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 140M 280M 420M 560M 700M 622681000 642516000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
OpenBenchmarking.org bfs max_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 140M 280M 420M 560M 700M 642278000 659467000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
OpenBenchmarking.org sssp median_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 60M 120M 180M 240M 300M 254477000 302338000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
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.
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.
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.
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.
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
NWChem NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.
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.
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.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Mesh Time EPYC 7713 EPYC 7713 2P 30 60 90 120 150 139.89 124.96 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Large Mesh Size - Mesh Time EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 888.82 776.38 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.18, N = 5 8.97 17.59 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 24.59 45.84 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 8K 16K 24K 32K 40K SE +/- 11.83, N = 3 SE +/- 533.11, N = 3 30742.17 37561.07 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 12K 24K 36K 48K 60K SE +/- 78.11, N = 3 SE +/- 378.72, N = 3 49691.03 57763.89 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 6.82 13.10 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.81 13.09 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 1.64, N = 3 SE +/- 0.96, N = 3 2462.40 4559.42 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 400 800 1200 1600 2000 SE +/- 0.14, N = 3 SE +/- 2.71, N = 3 1030.76 1905.51 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 SE +/- 1.36, N = 3 SE +/- 2.08, N = 3 1689.18 3136.14 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 400 800 1200 1600 2000 SE +/- 3.92, N = 3 SE +/- 12.59, N = 3 935.58 1788.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 0.60, N = 3 SE +/- 3.95, N = 3 1535.08 2884.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.19, N = 3 SE +/- 0.45, N = 3 116.33 218.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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.
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.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K SE +/- 173.09, N = 3 SE +/- 448.28, N = 3 20252.1 39742.0 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
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.