7713 2P

Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2310231-NE-77132P99738&sor.

7713 2PProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionabcAMD EPYC 7303 16-Coredefg2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads)2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads)512GB1024x7682 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads)OpenBenchmarking.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-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: 0xa001173Python Details- Python 3.10.6Security 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

7713 2Plibxsmm: 32libxsmm: 64laghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerremhos: Sample Remap Examplecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownopenvkl: vklBenchmarkCPU Scalaropenvkl: vklBenchmarkCPU ISPCoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUeasywave: e2Asean Grid + BengkuluSept2007 Source - 240easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400abcAMD EPYC 7303 16-Coredefg540.3980.5164.19282.55115.89174.4926.54147.64130.4132.3711.28450761164382375.60341.4243.2486.7865.47423.875182.49116.0840.2820.44153.7849.66202.68157.7551.12623.93308.289.669543.233.341342.6823.81226.15141.335333.2423.982687.1911.89899.15142.2298494.410.85471923.9162.65282.08116.73173.5926.35146.17134.61129.6111.0250503664799575.77840.8373.3316.8815.48523.974179.98616.0840.2120.73152.9449.32203.14157.451.17623.643302.839.689544.953.341340.2923.85226.27141.245334.8723.982655.0912.03897.77142.42101883.130.85467.3920.8167.28279.20116.3174.4526.53146.31131.25132.811.70949934767876575.83642.413.3096.9295.53523.939179.53916.1940.0420.45152.548.96203.96156.7451.2623.63303.599.679527.763.351340.1223.86222.73143.555335.1523.972694.2711.86898.69142.29101985.210.86273.2406.9132.65148.49118.33551.2465.55202.93102.8357.2737.307135892116102120.8560.195.2829.1865.77967.408815.39589.45226.06109.21871.17280.0342.11189.928.66921.14570.58141754.674.55237.7933.6247.46168.3858.2118.63520.8915.34155.5102.8223110.20.68356.5442.5114.18132.46134.32489.7563.71235.98129.36429.2239.71113384106826125.91864.1465.77110.1336.18668.675830.49294.86237.87116.66974.94296.7437.06107.818.35478.92470.468.491232.953.24195.520.4443.1892.53856.6318.65369.710.8171.6193.1623725.570.6617.478415.743916.125315.870213.844514.39911442670.560.560.282.677234.273385.541361.941734.631851.928112.345651.65094.513330.7684493019.313037.723028.361451.21445.861466.253.29165.733149.203484.7727.2182.23234.135345612105.44304.0341.05192.24118.07302.0323.46321062021451192.44748.7243.9657.8015.85543.41462.13850.21116.6862.52505.43155.5272.71109.8917.2463.571096.257.293153.92.53415.3219.2585.5193.451727.3418.46873.349.13303.8105.2246823.730.6732.969629.619530.102829.980526.069826.52332734950.950.950.481.742444.104125.670181.933523.143711.168561.894051.447493.849161.053243494.513379.253216.131114.671161.81137.112.83155.336140.297482.9737.3181.55233.54105.68306.3741.01192.62120.33305.5523.48821213921625891.91348.8443.9767.8245.81743.477462.59950.25117.0562.18504.18157.0873.23109.1617.27462.781095.277.293148.822.53415.1219.2585.4693.51708.4518.67865.289.21303.83105.2345126.450.733.039229.520630.337830.131426.273726.61122754970.950.950.481.698173.839955.664351.95223.061111.165451.770641.923484.189741.143793341.933281.243462.91139.541153.451128.32.67260.049130.447470.9723.4180.93233.047063651107.04303.5840.85192.49122.81307.2423.72320988721841792.52848.7313.9627.8255.81543.318462.69650.09118.3462.31506.55157.5972.14110.7117.28462.571095.687.293148.972.53415.1519.2584.8694.171725.3718.48875.649.11303.59105.3347926.340.6632.966229.590830.255230.026126.157426.39862744950.950.950.481.846524.057685.633191.950243.141051.170232.12072.284693.947331.086613451.093556.443272.361129.541145.621149.152.76656.337133.177OpenBenchmarking.org

libxsmm

M N K: 32

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32aefbgcdAMD EPYC 7303 16-Core120240360480600540.3484.7482.9471.0470.9467.3356.5273.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

libxsmm

M N K: 64

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64abcfegdAMD EPYC 7303 16-Core2004006008001000980.5923.9920.8737.3727.2723.4442.5406.91. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Laghos

Test: Triple Point Problem

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point ProblemefgcabAMD EPYC 7303 16-Cored4080120160200182.23181.55180.93167.28164.19162.65132.65114.181. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Laghos

Test: Sedov Blast Wave, ube_922_hex.mesh

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshabcefgAMD EPYC 7303 16-Cored60120180240300282.55282.08279.20234.14233.54233.05148.49132.461. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

OpenRadioss

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamefgacbAMD EPYC 7303 16-Cored306090120150105.44105.68107.04115.89116.30116.73118.33134.32

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MbcagefdAMD EPYC 7303 16-Core120240360480600173.59174.45174.49303.58304.03306.37489.75551.24

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestbcagfedAMD EPYC 7303 16-Core153045607526.3526.5326.5440.8541.0141.0563.7165.55

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldbcaegfAMD EPYC 7303 16-Cored50100150200250146.17146.31147.64192.24192.49192.62202.93235.98

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationAMD EPYC 7303 16-Coreefgdacb306090120150102.80118.07120.33122.81129.36130.40131.25134.61

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerbacefgAMD EPYC 7303 16-Cored90180270360450129.61132.37132.80302.03305.55307.24357.27429.22

Remhos

Test: Sample Remap Example

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap ExamplebacefgAMD EPYC 7303 16-Cored91827364511.0211.2811.7123.4623.4923.7237.3139.711. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingabcfegAMD EPYC 7303 16-Cored110K220K330K440K550K5076115050364993472121392106202098871358921133841. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingcbagfeAMD EPYC 7303 16-Cored150K300K450K600K750K6787656479956438232184172162582145111161021068261. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0abcfegAMD EPYC 7303 16-Cored30609012015075.6075.7875.8491.9192.4592.53120.85125.921. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2bacegfAMD EPYC 7303 16-Cored142842567040.8441.4242.4148.7248.7348.8460.1964.151. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 6

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6acbgefAMD EPYC 7303 16-Cored1.29852.5973.89555.1946.49253.2483.3093.3313.9623.9653.9765.2825.7711. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessabcefgAMD EPYC 7303 16-Cored36912156.7866.8816.9297.8017.8247.8259.18610.1331. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 10, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessabcAMD EPYC 7303 16-Coregfed2468105.4745.4855.5355.7795.8155.8175.8556.1861. (CXX) g++ options: -O3 -fPIC -lm

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigacbgefAMD EPYC 7303 16-Cored153045607523.8823.9423.9743.3243.4143.4867.4168.68

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigcbaefgAMD EPYC 7303 16-Cored2004006008001000179.54179.99182.49462.14462.60462.70815.40830.49

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlyabcgefAMD EPYC 7303 16-Cored2040608010016.0816.0816.1950.0950.2150.2589.4594.86

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlycbaefgAMD EPYC 7303 16-Cored5010015020025040.0440.2140.28116.68117.05118.34226.06237.87

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlyacbfgeAMD EPYC 7303 16-Cored30609012015020.4420.4520.7362.1862.3162.52109.21116.66

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlycbafegAMD EPYC 7303 16-Cored2004006008001000152.50152.94153.78504.18505.43506.55871.17974.94

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlycbaefgAMD EPYC 7303 16-Cored6012018024030048.9649.3249.66155.52157.08157.59280.03296.74

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUcbafegAMD EPYC 7303 16-Cored4080120160200203.96203.14202.6873.2372.7172.1442.1137.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUdfegcbaAMD EPYC 7303 16-Core4080120160200107.81109.16109.89110.71156.74157.40157.75189.92MIN: 102.18 / MAX: 124.72MIN: 99.46 / MAX: 143.57MIN: 93.05 / MAX: 140.85MIN: 98.56 / MAX: 144.8MIN: 131.77 / MAX: 297.92MIN: 128.42 / MAX: 281.86MIN: 108.19 / MAX: 274.81MIN: 169.75 / MAX: 200.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUcbagfeAMD EPYC 7303 16-Cored122436486051.2051.1751.1217.2817.2717.208.668.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUgfedcbaAMD EPYC 7303 16-Core2004006008001000462.57462.78463.57478.92623.60623.64623.90921.14MIN: 455.99 / MAX: 481.91MIN: 456.11 / MAX: 479.6MIN: 456.35 / MAX: 480.41MIN: 474.19 / MAX: 500.74MIN: 599.33 / MAX: 668.6MIN: 593.36 / MAX: 672.04MIN: 594.87 / MAX: 669.12MIN: 883.65 / MAX: 932.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUacbegfAMD EPYC 7303 16-Cored70014002100280035003308.283303.593302.831096.251095.681095.27570.58470.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUefgdacbAMD EPYC 7303 16-Core481216207.297.297.298.499.669.679.6814.00MIN: 7.14 / MAX: 16.48MIN: 7.14 / MAX: 16.05MIN: 7.15 / MAX: 16.28MIN: 7.96 / MAX: 14.96MIN: 7.98 / MAX: 45.57MIN: 7.95 / MAX: 41.68MIN: 7.94 / MAX: 44.33MIN: 7.54 / MAX: 24.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUbacegfAMD EPYC 7303 16-Cored2K4K6K8K10K9544.959543.239527.763153.903148.973148.821754.671232.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUefgdabcAMD EPYC 7303 16-Core1.02382.04763.07144.09525.1192.532.532.533.243.343.343.354.55MIN: 2.48 / MAX: 9.57MIN: 2.48 / MAX: 10.15MIN: 2.47 / MAX: 10.12MIN: 2.94 / MAX: 8.15MIN: 2.82 / MAX: 23.64MIN: 2.79 / MAX: 25.65MIN: 2.81 / MAX: 23.74MIN: 2.67 / MAX: 16.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUabcegfAMD EPYC 7303 16-Cored300600900120015001342.681340.291340.12415.32415.15415.12237.79195.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUefgdabcAMD EPYC 7303 16-Core81624324019.2519.2519.2520.4423.8123.8523.8633.62MIN: 17.55 / MAX: 32.52MIN: 17.46 / MAX: 28.16MIN: 17.49 / MAX: 27.05MIN: 18.84 / MAX: 37.99MIN: 20.24 / MAX: 65.85MIN: 20.69 / MAX: 64.82MIN: 20.96 / MAX: 60.47MIN: 25.37 / MAX: 42.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUbacefgAMD EPYC 7303 16-Cored50100150200250226.27226.15222.7385.5185.4684.8647.4643.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUdefgbacAMD EPYC 7303 16-Core408012016020092.5393.4593.5094.17141.24141.33143.55168.30MIN: 87.83 / MAX: 184.88MIN: 77.59 / MAX: 139.64MIN: 82.68 / MAX: 155.42MIN: 85.17 / MAX: 160.36MIN: 114.93 / MAX: 488.84MIN: 113.19 / MAX: 547.49MIN: 114.18 / MAX: 525.63MIN: 141.17 / MAX: 184.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUcbaegfAMD EPYC 7303 16-Cored110022003300440055005335.155334.875333.241727.341725.371708.45858.21856.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUegAMD EPYC 7303 16-Coredfcab61218243018.4618.4818.6318.6518.6723.9723.9823.98MIN: 17.85 / MAX: 32.35MIN: 17.82 / MAX: 33.34MIN: 8.99 / MAX: 30.48MIN: 17.81 / MAX: 33.21MIN: 17.84 / MAX: 33.76MIN: 21.4 / MAX: 33.21MIN: 21.19 / MAX: 37.06MIN: 21.31 / MAX: 35.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUcabgefAMD EPYC 7303 16-Cored60012001800240030002694.272687.192655.09875.64873.34865.28520.89369.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUgefdcabAMD EPYC 7303 16-Core481216209.119.139.2110.8011.8611.8912.0315.34MIN: 8.35 / MAX: 22.58MIN: 8.44 / MAX: 24.1MIN: 8.24 / MAX: 23.34MIN: 9.8 / MAX: 19.62MIN: 9.49 / MAX: 57.72MIN: 10.03 / MAX: 55.71MIN: 10.4 / MAX: 55.41MIN: 9.22 / MAX: 27.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUacbfegdAMD EPYC 7303 16-Core2004006008001000899.15898.69897.77303.83303.80303.59171.61155.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUdAMD EPYC 7303 16-Coreefgacb30609012015093.16102.82105.22105.23105.33142.22142.29142.42MIN: 86.16 / MAX: 102.67MIN: 69.31 / MAX: 117.98MIN: 91.67 / MAX: 111.86MIN: 92.98 / MAX: 112.15MIN: 94.87 / MAX: 111.06MIN: 111.28 / MAX: 182.41MIN: 110.33 / MAX: 173.87MIN: 106.02 / MAX: 184.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcbagefdAMD EPYC 7303 16-Core20K40K60K80K100K101985.21101883.1398494.4147926.3446823.7345126.4523725.5723110.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdgeAMD EPYC 7303 16-Corefabc0.19350.3870.58050.7740.96750.660.660.670.680.700.850.850.86MIN: 0.61 / MAX: 6.63MIN: 0.61 / MAX: 10.25MIN: 0.61 / MAX: 10.58MIN: 0.4 / MAX: 11.17MIN: 0.61 / MAX: 10.2MIN: 0.72 / MAX: 27.72MIN: 0.72 / MAX: 21.71MIN: 0.71 / MAX: 40.391. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragonfegd81624324033.0432.9732.9717.48MIN: 32.83 / MAX: 33.53MIN: 32.77 / MAX: 33.49MIN: 32.78 / MAX: 33.29MIN: 17.31 / MAX: 17.65

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objegfd71421283529.6229.5929.5215.74MIN: 29.37 / MAX: 30.21MIN: 29.36 / MAX: 30.31MIN: 29.27 / MAX: 30.16MIN: 15.64 / MAX: 15.92

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crownfged71421283530.3430.2630.1016.13MIN: 30.01 / MAX: 30.87MIN: 29.92 / MAX: 30.97MIN: 29.78 / MAX: 30.77MIN: 15.95 / MAX: 16.45

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonfged71421283530.1330.0329.9815.87MIN: 29.94 / MAX: 30.64MIN: 29.84 / MAX: 30.34MIN: 29.79 / MAX: 30.37MIN: 15.72 / MAX: 16.2

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objfged61218243026.2726.1626.0713.84MIN: 26.05 / MAX: 26.62MIN: 25.98 / MAX: 26.75MIN: 25.87 / MAX: 26.79MIN: 13.7 / MAX: 14.06

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownfegd61218243026.6126.5226.4014.40MIN: 26.29 / MAX: 27.11MIN: 26.18 / MAX: 27.13MIN: 26.05 / MAX: 27.08MIN: 14.25 / MAX: 14.69

OpenVKL

Benchmark: vklBenchmarkCPU Scalar

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarfged60120180240300275274273144MIN: 21 / MAX: 5065MIN: 21 / MAX: 5053MIN: 21 / MAX: 5037MIN: 11 / MAX: 2667

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCfged110220330440550497495495267MIN: 43 / MAX: 6162MIN: 43 / MAX: 6166MIN: 44 / MAX: 6142MIN: 23 / MAX: 3404

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlygfed0.21380.42760.64140.85521.0690.950.950.950.56

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlygfed0.21380.42760.64140.85521.0690.950.950.950.56

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlygfed0.1080.2160.3240.4320.540.480.480.480.28

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUfegd0.60241.20481.80722.40963.0121.698171.742441.846522.67723MIN: 1.41MIN: 1.45MIN: 1.33MIN: 2.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUfged0.96151.9232.88453.8464.80753.839954.057684.104124.27338MIN: 3.1MIN: 2.86MIN: 3.26MIN: 3.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUdgfe1.27582.55163.82745.10326.3795.541365.633195.664355.67018MIN: 4.33MIN: 4.7MIN: 4.73MIN: 4.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUedgf0.43920.87841.31761.75682.1961.933521.941731.950241.95220MIN: 1.72MIN: 1.77MIN: 1.78MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUfged1.04222.08443.12664.16885.2113.061113.141053.143714.63185MIN: 2.86MIN: 2.86MIN: 2.85MIN: 4.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUfegd0.43380.86761.30141.73522.1691.165451.168561.170231.92811MIN: 1.11MIN: 1.1MIN: 1.1MIN: 1.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUfegd0.52781.05561.58342.11122.6391.770641.894052.120702.34565MIN: 1.42MIN: 1.51MIN: 1.65MIN: 2.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUedfg0.51411.02821.54232.05642.57051.447491.650901.923482.28469MIN: 1.01MIN: 1.3MIN: 1.39MIN: 1.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUegfd1.01552.0313.04654.0625.07753.849163.947334.189744.51333MIN: 3.54MIN: 3.55MIN: 3.58MIN: 2.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUdegf0.25740.51480.77221.02961.2870.7684491.0532401.0866101.143790MIN: 0.6MIN: 0.81MIN: 0.86MIN: 0.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdfge70014002100280035003019.313341.933451.093494.51MIN: 2971.6MIN: 3231.53MIN: 3397.7MIN: 3430.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUdfeg80016002400320040003037.723281.243379.253556.44MIN: 2984.39MIN: 3185.12MIN: 3265.73MIN: 3506.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUdegf70014002100280035003028.363216.133272.363462.90MIN: 2984.7MIN: 3111.44MIN: 3161.82MIN: 3392.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUegfd300600900120015001114.671129.541139.541451.20MIN: 1074.44MIN: 1079.67MIN: 1087.78MIN: 1412.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUgfed300600900120015001145.621153.451161.801445.86MIN: 1102.84MIN: 1089.33MIN: 1098.59MIN: 1399.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUfegd300600900120015001128.301137.111149.151466.25MIN: 1073.3MIN: 1093.13MIN: 1097.47MIN: 1422.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240fged0.74051.4812.22152.9623.70252.6722.7662.8313.2911. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200egfd153045607555.3456.3460.0565.731. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400fged306090120150130.45133.18140.30149.201. (CXX) g++ options: -O3 -fopenmp


Phoronix Test Suite v10.8.5