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
Phoronix Test Suite by running the command:
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 graph500: 26 graph500: 26 openssl: SHA256 minife: Small 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 MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM sysbench: CPU amg: openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU natron: Spaceship embree: Pathtracer - Asian Dragon embree: Pathtracer - Crown embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown 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 x265: Bosphorus 4K svt-hevc: 7 - Bosphorus 4K svt-hevc: 10 - Bosphorus 4K simdjson: LargeRand simdjson: TopTweet simdjson: PartialTweets simdjson: Kostya simdjson: DistinctUserID hpcg: mt-dgemm: Sustained Floating-Point Rate xmrig: Monero - 1M xmrig: Wownero - 1M oidn: RT.hdr_alb_nrm.3840x2160 oidn: RT.ldr_alb_nrm.3840x2160 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 graphics-magick: HWB Color Space graphics-magick: Enhanced graphics-magick: Rotate graphics-magick: Sharpen askap: Hogbom Clean OpenMP coremark: CoreMark Size 666 - Iterations Per Second spec-jbb2015: SPECjbb2015-Composite max-jOPS spec-jbb2015: SPECjbb2015-Composite critical-jOPS aircrack-ng: luxcorerender: DLSC - CPU luxcorerender: Rainbow Colors and Prism - CPU luxcorerender: LuxCore Benchmark - CPU luxcorerender: Orange Juice - CPU luxcorerender: Danish Mood - CPU securemark: SecureMark-TLS 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 quantlib: luaradio: Five Back to Back FIR Filters luaradio: FM Deemphasis Filter luaradio: Hilbert Transform luaradio: Complex Phase sysbench: RAM / Memory compress-7zip: Compression Rating compress-7zip: Decompression Rating jpegxl: PNG - 7 jpegxl: PNG - 8 jpegxl-decode: 1 jpegxl-decode: All webp: Default webp: Quality 100 webp: Quality 100, Highest Compression webp: Quality 100, Lossless webp: Quality 100, Lossless, Highest Compression webp2: Default webp2: Quality 95, Compression Effort 7 jpegxl: JPEG - 7 jpegxl: JPEG - 8 webp2: Quality 75, Compression Effort 7 webp2: Quality 100, Compression Effort 5 askap: tConvolve MPI - Gridding askap: tConvolve MPI - Degridding libraw: Post-Processing Benchmark etcpak: Single-Threaded - ETC2 etcpak: Multi-Threaded - ETC2 astcenc: Medium astcenc: Thorough astcenc: Exhaustive lczero: BLAS lczero: Eigen stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth gromacs: MPI CPU - water_GMX50_bare rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand cassandra: Writes dragonflydb: 50 - 1:5 dragonflydb: 50 - 1:1 dragonflydb: 50 - 5:1 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 mysqlslap: 2048 mysqlslap: 4096 ebizzy: apache: 500 apache: 1000 nginx: 500 nginx: 1000 node-express-loadtest: redis: GET - 1000 etcd: PUT - 100 - 100 etcd: PUT - 100 - 1000 etcd: PUT - 500 - 100 etcd: PUT - 500 - 1000 etcd: RANGE - 100 - 100 etcd: RANGE - 100 - 1000 etcd: RANGE - 500 - 100 etcd: RANGE - 500 - 1000 pjsip: OPTIONS, Stateful pjsip: OPTIONS, Stateless pjsip: INVITE node-web-tooling: srsran: OFDM_Test liquid-dsp: 32 - 256 - 57 liquid-dsp: 64 - 256 - 57 liquid-dsp: 128 - 256 - 57 liquid-dsp: 256 - 256 - 57 numpy: phpbench: PHP Benchmark Suite openssl: RSA4096 graph500: 26 graph500: 26 kripke: 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: CG.C npb: MG.C pgbench: 100 - 250 - Read Write pgbench: 100 - 250 - Read Only pgbench: 100 - 500 - Read Write pgbench: 100 - 500 - Read Only 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 MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM openssl: RSA4096 brl-cad: VGR Performance Metric synthmark: VoiceMark_100 lulesh: ctx-clock: Context Switch Time blake2: namd: ATPase Simulation - 327,506 Atoms pennant: leblancbig pennant: sedovbig pybench: Total For Average Test Times pyperformance: chaos pyperformance: pickle_pure_python pyperformance: python_startup pyperformance: regex_compile openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU 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 tnn: CPU - DenseNet tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 tnn: CPU - SqueezeNet v2 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 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 draco: Church Facade draco: Lion pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 500 - Read Write - Average Latency pgbench: 100 - 500 - Read Only - Average Latency etcd: PUT - 100 - 100 - Average Latency etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 500 - 1000 - Average Latency etcd: RANGE - 100 - 100 - Average Latency etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 500 - 1000 - Average Latency dacapobench: Jython dacapobench: Tradebeans gpaw: Carbon Nanotube wrf: conus 2.5km relion: Basic - CPU incompact3d: X3D-benchmarking input.i3d nwchem: C240 Buckyball qe: AUSURF112 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 cloverleaf: Lagrangian-Eulerian Hydrodynamics mlpack: scikit_svm mlpack: scikit_qda mlpack: scikit_ica 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 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 avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless basis: UASTC Level 0 basis: UASTC Level 2 basis: UASTC Level 3 cython-bench: N-Queens ngspice: C2670 ngspice: C7552 octave-benchmark: helsing: 14 digit primesieve: 1e13 encode-flac: WAV To FLAC encode-mp3: WAV To MP3 m-queens: Time To Solve EPYC 7713 2P EPYC 7713 659467000 642516000 134629156527 24664.8 392.3 427.4 394.1 426.1 127.9 500125.79 1923306667 17.59 45.84 37561.07 57763.89 13.10 13.09 4559.42 1905.51 3136.14 1788.34 2884.44 218.13 1.9 68.8759 89.6006 67.1736 82.9263 57.04 55.62 13.86 54.24 58.52 179.550 123.806 68.797 15.08 21.48 144.70 195.62 1 4.39 3.84 2.9 4.42 37.1011 32.071227 50749.6 41982.9 2.26 2.26 330 237 4569 668 7878 877 1093 1344 730 779 319.756 4105747.139772 130899 68946 149778.797 12.23 16.99 7.63 18.60 7.50 249582 84.7 3473.0 39.9 3485.8 54.18 10743.2 52.51 10851.4 2808.8 1211.6 364.3 98.4 623.8 7260.66 516617 634086 10.74 1.00 66.93 569.97 16.75 10.65 3.47 1.42 0.56 9.70 0.31 100.77 28.92 0.55 6.41 43735.8 39742.0 37.96 229.637 6678.565 380.6467 58.4744 6.4499 4449 4093 279486942 248870519 8.215 480175332 14564673 2922167 304654 209921 724442.87 724466.22 724635.93 377.52 387.01 396.82 150 140 453258 91255.79 84767.73 90312.00 94018.12 6198 1364479.13 38209.4202 41860.4825 38992.8158 43696.7618 37230.3273 42305.6183 38506.6051 44040.7135 8819 67617 4692 10.50 130333333 1614266667 3191533333 5085066667 5350900000 469.38 726003 25009.6 390377000 302338000 143950267 235808.54 8338.27 9109.24 116679.26 259899.49 142675.55 116527.63 4690.06 45587.10 100740.89 16633 1983155 14261 2012722 143.6 149.6 133.6 141.0 62.2 1638050.5 3240515 748.057 36456.229 120 3.39 0.26712 3.556570 5.675895 953 95.8 385 7.71 155 3597.47 1388.41 3.27 2.11 4777.15 4774.37 28.05 33.55 20.38 35.75 22.16 292.82 0.640833 30.0116 7531.12 7435.34 7473.91 2840.33 2754.45 2840.05 3065.920 341.281 273.848 65.894 12254.2 638.1 3985.7 6136.4 10535.4 2314.9 24613.1 1379 22158 44624 1424 22742 45460 1646 26510 52785 7525 5735 15.076 0.126 35.094 0.248 2.6 23.7 2.6 22.8 2.7 23.4 2.6 22.6 4106 4568 43.857 8650.839 290.961 300.691142 2183.6 399.92 6.283 26.740 47.284 89.280 124.96 281.7 776.38 7052.62 19.44 21.45 31.84 46.40 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 17.19 40.89 22.25 53.88 171.52 151.531071 50.464258 336.583119 7.590 41.213 3.957 7.334 5.558 6.379 8.773 11.402 23.312 137.362 105.951 6.545 62.129 28.718 18.133 7.490 6.376 642278000 622681000 68101809853 21875.1 396.0 430.5 394.4 431.8 128.9 252440.57 1012051667 8.97 24.59 30742.17 49691.03 6.82 6.81 2462.40 1030.76 1689.18 935.58 1535.08 116.33 6.0 62.9814 51.8334 56.8098 47.5583 63.90 65.49 15.86 36.71 56.53 184.711 131.270 70.783 9.91 26.69 137.74 223.66 1 4.39 3.86 2.9 4.40 19.1088 20.880271 28612.4 36467.2 1.40 1.41 417 185 6631 713 9368 1538 1303 941 746 511 520.840 2045229.645896 127957 85389 149666.943 8.33 21.13 6.84 12.48 6.20 247747 84.9 3401.6 47.4 3460.3 55.43 14123.3 53.89 14156.7 2795.3 1189.0 365.4 98.6 628.9 9990.12 351077 354608 11.11 1.02 67.62 731.88 16.78 10.69 3.48 1.40 0.56 9.00 0.24 104.58 29.24 0.48 10.85 21943.0 20252.1 39.40 230.432 6702.518 236.6020 30.4554 3.2659 3893 3598 149383689 138776102 5.130 242074798 9182167 3561841 358336 250596 3599739.57 3382696.79 3244708.36 378.44 392.92 394.98 615 247 246494 115006.99 109150.30 173899.19 174524.79 6367 1990067.33 78829.5888 79978.1905 81895.9623 83927.6558 79219.6509 80131.7958 82098.4178 84602.7803 9115 66602 4690 10.60 136633333 1605566667 2577666667 2706900000 2767166667 464.56 733332 12613.1 323593000 254477000 270722527 127998.61 4406.02 4668.96 60659.25 135917.43 89950.76 51921.71 2648.96 24085.73 57329.70 73527 1297684 62654 1370935 143.6 149.6 133.7 141.4 62.4 825904.1 697698 747.308 19305.656 120 3.39 0.45457 6.133060 11.42723 959 96.5 387 7.64 156 3555.78 1293.51 2.03 1.06 4601.78 4600.94 25.97 31.02 18.93 34.17 20.82 274.57 0.934706 12.5608 2943.08 2950.43 2984.47 1266.20 1253.50 1229.56 3107.102 332.611 273.481 65.617 8004.9 585.6 3067.3 5009.2 6720.8 2243.2 18814.1 2463 39568 84968 2496 40058 86081 2922 47134 100051 7411 5613 3.400 0.193 7.980 0.365 1.3 12.4 1.2 11.9 1.3 12.4 1.2 11.8 4033 3998 71.658 16959.848 563.271 609.677470 2491.1 397.64 6.845 46.547 43.392 88.019 139.89 633.93 888.82 14972.97 12.00 21.33 29.19 45.27 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 30.43 77.14 38.85 96.30 299.30 133.04347 61.265637 152.394204 10.680 40.766 3.846 7.184 5.398 6.221 10.615 15.385 23.384 136.020 103.387 6.582 120.999 55.255 18.129 7.472 12.238 OpenBenchmarking.org
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring EPYC 7713 40 80 120 160 200 Min: 18.73 / Avg: 175.52 / Max: 233.05
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 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 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
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
miniFE OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small EPYC 7713 2P EPYC 7713 30 60 90 120 150 86.98 149.72
srsRAN srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM EPYC 7713 2P EPYC 7713 90 180 270 360 450 SE +/- 2.15, N = 15 SE +/- 0.59, N = 4 392.3 396.0 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM EPYC 7713 2P EPYC 7713 90 180 270 360 450 SE +/- 0.95, N = 3 SE +/- 1.02, N = 3 427.4 430.5 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM EPYC 7713 2P EPYC 7713 90 180 270 360 450 SE +/- 0.24, N = 3 SE +/- 2.00, N = 3 394.1 394.4 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM EPYC 7713 2P EPYC 7713 90 180 270 360 450 SE +/- 0.64, N = 3 SE +/- 0.18, N = 3 426.1 431.8 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM EPYC 7713 2P EPYC 7713 30 60 90 120 150 SE +/- 0.52, N = 3 SE +/- 0.18, N = 3 127.9 128.9 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7713 2P EPYC 7713 1.1M 2.2M 3.3M 4.4M 5.5M 4855985.26 5339041.55
Natron OpenBenchmarking.org FPS Per Watt, More Is Better Natron 2.4.3 Input: Spaceship EPYC 7713 2P EPYC 7713 0.0092 0.0184 0.0276 0.0368 0.046 0.007 0.041
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
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.
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: PartialTweets EPYC 7713 2P EPYC 7713 0.0117 0.0234 0.0351 0.0468 0.0585 0.026 0.052
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: Kostya EPYC 7713 2P EPYC 7713 0.0072 0.0144 0.0216 0.0288 0.036 0.018 0.032
OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: DistinctUserID EPYC 7713 2P EPYC 7713 0.0133 0.0266 0.0399 0.0532 0.0665 0.030 0.059
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s Per Watt, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7713 2P EPYC 7713 0.0207 0.0414 0.0621 0.0828 0.1035 0.086 0.092
ACES DGEMM OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7713 2P EPYC 7713 0.0277 0.0554 0.0831 0.1108 0.1385 0.104 0.123
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.
Xmrig OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M EPYC 7713 2P EPYC 7713 40 80 120 160 200 108.02 182.74
ONNX Runtime OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard EPYC 7713 2P EPYC 7713 16 32 48 64 80 32.83 69.90
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Rotate EPYC 7713 2P EPYC 7713 3 6 9 12 15 4.934 10.090
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen EPYC 7713 2P EPYC 7713 0.5546 1.1092 1.6638 2.2184 2.773 1.945 2.465
ASKAP OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7713 2P EPYC 7713 1.2794 2.5588 3.8382 5.1176 6.397 1.759 5.686
Coremark OpenBenchmarking.org Iterations/Sec Per Watt, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K 9708.04 10250.92
Aircrack-ng OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.7 EPYC 7713 2P EPYC 7713 160 320 480 640 800 377.12 736.47
LuxCoreRender OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU EPYC 7713 2P EPYC 7713 0.0306 0.0612 0.0918 0.1224 0.153 0.058 0.136
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU EPYC 7713 2P EPYC 7713 0.0074 0.0148 0.0222 0.0296 0.037 0.019 0.033
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU EPYC 7713 2P EPYC 7713 0.0133 0.0266 0.0399 0.0532 0.0665 0.044 0.059
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU EPYC 7713 2P EPYC 7713 0.0068 0.0136 0.0204 0.0272 0.034 0.019 0.030