AMD Ryzen 9 7950X AVX-512

AMD Ryzen 9 7950X AVX-512 benchmark comparison by Michael Larabel launch day embargo lift review. Stock/out-of-the-box build with AVX-512. For lack of any AVX-512 toggle from the ASUS BIOS, the AVX2 / non-AVX-512 run was carried out by booting kernel with "clearcpuid=304" to clear AVX-512 support from the kernel and for the binary programs that scan /proc/cpuinfo for avx512* extensions. Plus for the open-source benchmarks specifying CFLAGS/CXXFLAGS without AVX-512 extensions. See full launch day review @ https://www.phoronix.com/review/amd-zen4-avx512

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209253-NE-RYZEN795065
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September 17
  4 Hours, 11 Minutes
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AMD Ryzen 9 7950X AVX-512OpenBenchmarking.orgPhoronix Test Suite 10.8.4AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (0604 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionAMD Ryzen 9 7950X AVX-512 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Default, AVX-512 Enabled: CXXFLAGS="-O3 -march=native -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mprefer-vector-width=512" CFLAGS="-O3 -march=native -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mprefer-vector-width=512" - Without AVX-512: CXXFLAGS="-O3 -march=native -mno-avx512f" CFLAGS="-O3 -march=native -mno-avx512f"- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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 - Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Python 3.10.4- 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 + 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Default, AVX-512 Enabled vs. Without AVX-512 ComparisonPhoronix Test Suite 10.8.4Baseline+66.4%+66.4%+132.8%+132.8%+199.2%+199.2%+265.6%+265.6%Myriad-Groestl265.7%W.P.D.F.I - CPU117.1%W.P.D.F.I - CPU117%F.D.F - CPU115.1%F.D.F - CPU114.4%W.P.D.F - CPU113.7%W.P.D.F - CPU113.6%F.D.F.I - CPU109.1%F.D.F.I - CPU108.6%Blake-2 S104.5%M.T.E.T.D.F - CPU103.8%M.T.E.T.D.F - CPU103.8%A.G.R.R.0.F - CPU100%A.G.R.R.0.F - CPU100%V.D.F.I - CPU98.2%V.D.F.I - CPU98.1%LBC, LBRY Credits97.1%D.B.s - u8s8f32 - CPU92.4%D.B.s - u8s8f32 - CPU88%P.V.B.D.F - CPU87%P.V.B.D.F - CPU86.8%gravity_spheres_volume/dim_512/scivis/real_time83.1%P.D.F - CPU80.2%P.D.F - CPU79.9%P.D.F - CPU79.8%P.D.F - CPU78.9%gravity_spheres_volume/dim_512/ao/real_time77.6%A.G.R.R.0.F.I - CPU70.8%A.G.R.R.0.F.I - CPU68.2%Q.S.2.P66.9%CPU - vision_transformer58.6%R.N.N.I - u8s8f32 - CPU56.1%R.N.N.I - bf16bf16bf16 - CPU54.8%Garlicoin53.1%IP Shapes 1D - u8s8f32 - CPU50%V.D.F - CPU48%V.D.F - CPU47.9%C.B.S.A - u8s8f32 - CPU40%Skeincoin39.3%R.N.N.T - u8s8f32 - CPU37.7%gravity_spheres_volume/dim_512/pathtracer/real_time37.4%R.N.N.T - bf16bf16bf16 - CPU35.7%DistinctUserID32.6%vklBenchmark ISPC30.1%TopTweet26.1%PartialTweets25.4%1 - 4K - 1 - Path Tracer23%3 - 4K - 1 - Path Tracer22.4%Kostya21.4%1 - 4K - 32 - Path Tracer21.1%Pathtracer ISPC - Crown21%1 - 4K - 16 - Path Tracer20.7%3 - 4K - 32 - Path Tracer20.1%3 - 4K - 16 - Path Tracer20%Pathtracer ISPC - Asian Dragon15.6%LargeRand14%SqueezeNetV1.012.8%Eigen9.9%particle_volume/pathtracer/real_time8.3%Summer Nature 4K3.4%S.N.12.8%Cpuminer-OptOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOCpuminer-OptOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOCpuminer-OptoneDNNoneDNNOpenVINOOpenVINOOSPRayOpenVINOOpenVINOOpenVINOOpenVINOOSPRayOpenVINOOpenVINOCpuminer-OptNCNNoneDNNoneDNNCpuminer-OptoneDNNOpenVINOOpenVINOoneDNNCpuminer-OptoneDNNOSPRayoneDNNsimdjsonOpenVKLsimdjsonsimdjsonOSPRay StudioOSPRay StudiosimdjsonOSPRay StudioEmbreeOSPRay StudioOSPRay StudioOSPRay StudioEmbreesimdjsonMobile Neural NetworkLeelaChessZeroOSPRaydav1ddav1dDefault, AVX-512 EnabledWithout AVX-512

AMD Ryzen 9 7950X AVX-512lczero: Eigensimdjson: Kostyasimdjson: TopTweetsimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonopenvkl: vklBenchmark ISPCospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracercpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyritemnn: SqueezeNetV1.0ncnn: CPU - vision_transformeropenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - 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: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUDefault, AVX-512 EnabledWithout AVX-51217356.019.961.799.6410.26393.401451.9435.229335.1217199250.6558.053977.934329.509060.4171965.321270.4159400.5764321137.29583.3161137.96582.90136594368620291207277361714398121134343977.80284667599571517203215033.54339.5714.50549.947.571050.377.551054.92742.9010.7628.44280.861890.254.231455.455.49134.5959.392938.135.441696.824.7145555.670.3564463.940.2415784.957.901.577.697.74380.321412.2729.117030.3870153231.3784.535294.333986.922270.6259427.449360.8001161.083961566.09910.4601544.39902.10245025348748441461568834417287210337002597.6520432016393769601926673.99762.746.741178.814.201889.404.201887.13502.2815.9213.60585.81953.798.38681.3711.7366.03121.061353.8411.81907.368.8022781.700.738316.870.41OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenDefault, AVX-512 EnabledWithout AVX-512400800120016002000SE +/- 7.31, N = 3SE +/- 16.33, N = 317351578-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenDefault, AVX-512 EnabledWithout AVX-51230060090012001500Min: 1724 / Avg: 1735.33 / Max: 1749Min: 1547 / Avg: 1578.33 / Max: 16021. (CXX) g++ options: -flto -O3 -march=native -pthread

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.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaDefault, AVX-512 EnabledWithout AVX-512246810SE +/- 0.04, N = 3SE +/- 0.00, N = 36.014.95-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaDefault, AVX-512 EnabledWithout AVX-512246810Min: 5.94 / Avg: 6.01 / Max: 6.06Min: 4.95 / Avg: 4.95 / Max: 4.951. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetDefault, AVX-512 EnabledWithout AVX-5123691215SE +/- 0.09, N = 3SE +/- 0.02, N = 39.967.90-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetDefault, AVX-512 EnabledWithout AVX-5123691215Min: 9.78 / Avg: 9.96 / Max: 10.05Min: 7.87 / Avg: 7.9 / Max: 7.931. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomDefault, AVX-512 EnabledWithout AVX-5120.40280.80561.20841.61122.014SE +/- 0.00, N = 3SE +/- 0.00, N = 31.791.57-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomDefault, AVX-512 EnabledWithout AVX-512246810Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.57 / Avg: 1.57 / Max: 1.571. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsDefault, AVX-512 EnabledWithout AVX-5123691215SE +/- 0.08, N = 3SE +/- 0.01, N = 39.647.69-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsDefault, AVX-512 EnabledWithout AVX-5123691215Min: 9.53 / Avg: 9.64 / Max: 9.79Min: 7.66 / Avg: 7.69 / Max: 7.71. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDDefault, AVX-512 EnabledWithout AVX-5123691215SE +/- 0.06, N = 3SE +/- 0.07, N = 310.267.74-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDDefault, AVX-512 EnabledWithout AVX-5123691215Min: 10.18 / Avg: 10.26 / Max: 10.38Min: 7.67 / Avg: 7.74 / Max: 7.881. (CXX) g++ options: -O3 -march=native

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 4KDefault, AVX-512 EnabledWithout AVX-51290180270360450SE +/- 1.37, N = 5SE +/- 3.22, N = 5393.40380.32-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -lm-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 4KDefault, AVX-512 EnabledWithout AVX-51270140210280350Min: 388.84 / Avg: 393.4 / Max: 397.29Min: 373.13 / Avg: 380.32 / Max: 390.041. (CC) gcc options: -O3 -march=native -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 1080pDefault, AVX-512 EnabledWithout AVX-51230060090012001500SE +/- 1.72, N = 10SE +/- 2.53, N = 101451.941412.27-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -lm-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 1080pDefault, AVX-512 EnabledWithout AVX-51230060090012001500Min: 1443.89 / Avg: 1451.94 / Max: 1460.45Min: 1403.92 / Avg: 1412.27 / Max: 1425.621. (CC) gcc options: -O3 -march=native -pthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownDefault, AVX-512 EnabledWithout AVX-512816243240SE +/- 0.08, N = 3SE +/- 0.11, N = 335.2329.12MIN: 34.75 / MAX: 36.08MIN: 28.7 / MAX: 29.86
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownDefault, AVX-512 EnabledWithout AVX-512816243240Min: 35.12 / Avg: 35.23 / Max: 35.4Min: 28.91 / Avg: 29.12 / Max: 29.29

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonDefault, AVX-512 EnabledWithout AVX-512816243240SE +/- 0.08, N = 3SE +/- 0.16, N = 335.1230.39MIN: 34.64 / MAX: 36.13MIN: 29.85 / MAX: 30.94
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonDefault, AVX-512 EnabledWithout AVX-512816243240Min: 34.96 / Avg: 35.12 / Max: 35.23Min: 30.07 / Avg: 30.39 / Max: 30.61

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCDefault, AVX-512 EnabledWithout AVX-5124080120160200SE +/- 0.33, N = 3SE +/- 0.00, N = 3199153MIN: 17 / MAX: 2254MIN: 14 / MAX: 1843
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCDefault, AVX-512 EnabledWithout AVX-5124080120160200Min: 199 / Avg: 199.33 / Max: 200Min: 153 / Avg: 153 / Max: 153

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeDefault, AVX-512 EnabledWithout AVX-51250100150200250SE +/- 0.91, N = 3SE +/- 0.59, N = 3250.66231.38
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeDefault, AVX-512 EnabledWithout AVX-51250100150200250Min: 249.16 / Avg: 250.65 / Max: 252.29Min: 230.43 / Avg: 231.38 / Max: 232.47

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeDefault, AVX-512 EnabledWithout AVX-512246810SE +/- 0.00437, N = 3SE +/- 0.00574, N = 38.053974.53529
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeDefault, AVX-512 EnabledWithout AVX-5123691215Min: 8.05 / Avg: 8.05 / Max: 8.06Min: 4.53 / Avg: 4.54 / Max: 4.55

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeDefault, AVX-512 EnabledWithout AVX-512246810SE +/- 0.03212, N = 3SE +/- 0.00159, N = 37.934324.33398
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeDefault, AVX-512 EnabledWithout AVX-5123691215Min: 7.89 / Avg: 7.93 / Max: 8Min: 4.33 / Avg: 4.33 / Max: 4.34

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeDefault, AVX-512 EnabledWithout AVX-5123691215SE +/- 0.00541, N = 3SE +/- 0.00119, N = 39.509066.92227
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeDefault, AVX-512 EnabledWithout AVX-5123691215Min: 9.5 / Avg: 9.51 / Max: 9.52Min: 6.92 / Avg: 6.92 / Max: 6.92

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5120.14080.28160.42240.56320.704SE +/- 0.007969, N = 15SE +/- 0.006181, N = 50.4171960.625942-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 0.34-mno-avx512f - MIN: 0.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512246810Min: 0.37 / Avg: 0.42 / Max: 0.47Min: 0.61 / Avg: 0.63 / Max: 0.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512246810SE +/- 0.00255, N = 7SE +/- 0.00637, N = 75.321277.44936-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 5.26-mno-avx512f - MIN: 7.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5123691215Min: 5.31 / Avg: 5.32 / Max: 5.33Min: 7.43 / Avg: 7.45 / Max: 7.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5120.180.360.540.720.9SE +/- 0.000107, N = 3SE +/- 0.010456, N = 30.4159400.800116-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 0.4-mno-avx512f - MIN: 0.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512246810Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.78 / Avg: 0.8 / Max: 0.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5120.24390.48780.73170.97561.2195SE +/- 0.001581, N = 9SE +/- 0.006665, N = 90.5764321.083960-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 0.56-mno-avx512f - MIN: 1.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512246810Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 1.05 / Avg: 1.08 / Max: 1.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-51230060090012001500SE +/- 1.54, N = 3SE +/- 8.37, N = 31137.291566.09-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 1130.88-mno-avx512f - MIN: 1541.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-51230060090012001500Min: 1135.1 / Avg: 1137.29 / Max: 1140.26Min: 1555.25 / Avg: 1566.09 / Max: 1582.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5122004006008001000SE +/- 0.21, N = 3SE +/- 3.36, N = 3583.32910.46-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 579.29-mno-avx512f - MIN: 898.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512160320480640800Min: 582.9 / Avg: 583.32 / Max: 583.6Min: 903.73 / Avg: 910.46 / Max: 913.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-51230060090012001500SE +/- 1.66, N = 3SE +/- 19.60, N = 31137.961544.39-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 1131.23-mno-avx512f - MIN: 1494.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-51230060090012001500Min: 1134.64 / Avg: 1137.96 / Max: 1139.83Min: 1505.23 / Avg: 1544.39 / Max: 1565.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-5122004006008001000SE +/- 1.02, N = 3SE +/- 5.88, N = 3582.90902.10-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi - MIN: 578.18-mno-avx512f - MIN: 885.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUDefault, AVX-512 EnabledWithout AVX-512160320480640800Min: 581.46 / Avg: 582.9 / Max: 584.87Min: 890.57 / Avg: 902.1 / Max: 909.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51210002000300040005000SE +/- 5.21, N = 3SE +/- 6.51, N = 336594502-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-5128001600240032004000Min: 3650 / Avg: 3659.33 / Max: 3668Min: 4489 / Avg: 4502 / Max: 45091. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51211002200330044005500SE +/- 5.55, N = 3SE +/- 3.28, N = 343685348-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-5129001800270036004500Min: 4358 / Avg: 4368.33 / Max: 4377Min: 5342 / Avg: 5348.33 / Max: 53531. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51216K32K48K64K80KSE +/- 138.54, N = 3SE +/- 91.34, N = 36202974844-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51213K26K39K52K65KMin: 61752 / Avg: 62028.67 / Max: 62180Min: 74667 / Avg: 74844.33 / Max: 749711. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51230K60K90K120K150KSE +/- 140.99, N = 3SE +/- 168.25, N = 3120727146156-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51230K60K90K120K150KMin: 120546 / Avg: 120727.33 / Max: 121005Min: 145825 / Avg: 146156 / Max: 1463741. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51220K40K60K80K100KSE +/- 149.41, N = 3SE +/- 7.57, N = 37361788344-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51215K30K45K60K75KMin: 73329 / Avg: 73617 / Max: 73830Min: 88330 / Avg: 88344 / Max: 883561. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerDefault, AVX-512 EnabledWithout AVX-51240K80K120K160K200KSE +/- 116.66, N = 3SE +/- 155.59, N = 3143981172872-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl