Core i9 7980XE

Intel Core i9-7980XE testing with a ASUS PRIME X299-A (2002 BIOS) and Gigabyte AMD Radeon 540/540X/550/550X / RX 540X/550/550X 2GB on Ubuntu 20.10 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 2101105-HA-COREI979868
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Audio Encoding 4 Tests
AV1 2 Tests
Bioinformatics 2 Tests
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Timed Code Compilation 3 Tests
C/C++ Compiler Tests 8 Tests
CPU Massive 11 Tests
Creator Workloads 9 Tests
Encoding 6 Tests
HPC - High Performance Computing 8 Tests
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Multi-Core 12 Tests
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Core i9 7980XE
January 09 2021
  6 Hours, 36 Minutes
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January 10 2021
  7 Hours, 48 Minutes
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January 10 2021
  4 Hours, 46 Minutes
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Core i9 7980XEProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i9 7980XE23Intel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads)ASUS PRIME X299-A (2002 BIOS)Intel Sky Lake-E DMI3 Registers16GBSamsung SSD 970 EVO 500GBGigabyte AMD Radeon 540/540X/550/550X / RX 540X/550/550X 2GB (1206/1750MHz)Realtek ALC1220G237HLIntel I219-VUbuntu 20.105.8.0-36-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.6 (LLVM 11.0.0)1.2.131GCC 10.2.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2006a08Graphics Details- GLAMORPython Details- Python 3.8.6Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Core i9 7980XE23Result OverviewPhoronix Test Suite100%103%107%110%114%LAMMPS Molecular Dynamics SimulatorRedisasmFishMobile Neural NetworkStockfishTimed MAFFT AlignmentUnpacking FirefoxWarsowOgg Audio EncodingCraftyCLOMPeSpeak-NG Speech EngineNumpy BenchmarkNode.js V8 Web Tooling Benchmarkyquake2LZ4 CompressionMonkey Audio EncodingTimed HMMer Searchdav1dDDraceNetworkTimed Eigen CompilationoneDNNCoremarkBuild2GROMACSNCNNrav1eTimed FFmpeg CompilationIndigoBenchOpus Codec EncodingVKMarkWavPack Audio Encodingsimdjson

Core i9 7980XEddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymapwarsow: 1920 x 1080yquake2: OpenGL 1.x - 1920 x 1080yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080vkmark: 1920 x 1080clomp: Static OMP Speeduphmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAlammps: Rhodopsin Proteinsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcrafty: Elapsed Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10coremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilebuild2: Time To Compilenumpy: build-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodeespeak: Text-To-Speech Synthesisnode-web-tooling: gromacs: Water Benchmarkredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mindigobench: CPU - Bedroomindigobench: CPU - Supercarencode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzCore i9 7980XE23327.97240.76229.0574.8845.2117.2245424.4160.9769.22510.7470.560.430.680.77054.249022.055.048589.953.628593.883695412.339063.932160.9089211.249265.643882.246038.915262.082182.598728.515941.046491.609941471.29832.9071475.248.0234910.231811.0177848.6471.323611464.86835.4540.5246281.78784349.55196.22334.5564.140.3490.9671.2682.670608081.893607340971174991283335.789100.099361.6177.57011.46920.87310.25727.06710.591.6822578751.332065673.291674700.502462113.251920930.957.29036.3324.4412.67346.57116.815.734.915.605.147.022.7514.3233.0311.429.0620.5423.5616.0225.1017.055.684.865.595.167.062.6414.0433.3510.939.0221.1024.4216.2225.203.1347.47414.90421.275327.92242.38233.0567.6849.3117.2245424.7161.5989.36310.6890.560.430.680.707106.498673.355.028520.553.588567.584745042.182764.642900.8576391.038435.487992.551728.787212.025482.592778.341441.040631.563411502.96858.4241501.618.0359910.225311.0106864.1781.267301497.62861.9960.5073571.78621347.72194.64335.8364.200.3480.9671.2642.666606794.102657344557355285890335.849100.371364.8477.88511.55120.69310.25627.36110.691.6871722981.912107896.311693028.952332364.221899085.717.18633.1764.4512.61648.58216.955.634.905.625.167.012.6013.8332.4111.258.9820.5123.6016.0525.3717.115.864.945.625.287.242.7314.3733.1211.319.0721.0424.4816.3225.343.1277.50014.90721.106328.02239.88232.0572.2875.2115.9245324.5160.4609.4219.4470.560.430.680.77096.618737.055.058594.853.628604.984310392.182684.783340.8583561.028785.474372.667408.811602.037482.587408.357221.040241.566071508.59862.1851507.188.0354410.230511.0075859.3021.275651503.44862.5960.5044441.77652346.49194.46332.2464.160.3490.9671.2672.675606118.535484349523705111598435.833100.308361.2277.86811.55420.59810.25127.27110.591.6831720852.622128915.081721511.842365268.501851483.587.59837.5614.3112.68147.04816.985.744.945.635.207.172.6014.3532.8211.439.1321.0824.0316.1225.1816.945.634.915.625.207.072.6514.1732.9711.049.1320.8223.5416.1225.353.1297.47714.90821.530OpenBenchmarking.org

DDraceNetwork

This is a test of DDraceNetwork, an open-source cooperative platformer. OpenGL 3.3 is used for rendering, with fallbacks for older OpenGL versions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore223Core i9 7980XE70140210280350SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3327.92328.02327.97MIN: 180.77 / MAX: 382.41MIN: 163.32 / MAX: 396.04MIN: 216.87 / MAX: 385.211. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore223Core i9 7980XE60120180240300Min: 327.78 / Avg: 327.92 / Max: 328.09Min: 327.92 / Avg: 328.02 / Max: 328.17Min: 327.85 / Avg: 327.97 / Max: 328.151. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time23Core i9 7980XE3691215Min: 2.63 / Avg: 3.06 / Max: 8.22Min: 2.59 / Avg: 3.06 / Max: 8.05Min: 2.63 / Avg: 3.06 / Max: 8.161. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap23Core i9 7980XE50100150200250SE +/- 2.03, N = 3SE +/- 0.20, N = 3SE +/- 1.11, N = 3242.38239.88240.76MIN: 110.33 / MAX: 414.59MIN: 111.31 / MAX: 373.97MIN: 112.26 / MAX: 423.371. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0
OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap23Core i9 7980XE4080120160200Min: 238.32 / Avg: 242.38 / Max: 244.49Min: 239.64 / Avg: 239.88 / Max: 240.28Min: 238.66 / Avg: 240.76 / Max: 242.441. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time23Core i9 7980XE3691215Min: 2.52 / Avg: 4.1 / Max: 8.69Min: 2.67 / Avg: 4.19 / Max: 7.87Min: 2.88 / Avg: 4.2 / Max: 8.511. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 108023Core i9 7980XE50100150200250SE +/- 0.99, N = 3SE +/- 0.26, N = 3SE +/- 3.09, N = 4233.0232.0229.0
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 108023Core i9 7980XE4080120160200Min: 231.6 / Avg: 232.97 / Max: 234.9Min: 231.6 / Avg: 232.03 / Max: 232.5Min: 219.7 / Avg: 228.98 / Max: 232.3

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 108023Core i9 7980XE120240360480600SE +/- 6.27, N = 3SE +/- 5.77, N = 3SE +/- 5.07, N = 15567.6572.2574.81. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 108023Core i9 7980XE100200300400500Min: 555.4 / Avg: 567.63 / Max: 576.1Min: 560.8 / Avg: 572.23 / Max: 579.3Min: 545.8 / Avg: 574.85 / Max: 613.61. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 108023Core i9 7980XE2004006008001000SE +/- 9.49, N = 3SE +/- 8.55, N = 15SE +/- 10.83, N = 15849.3875.2845.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 108023Core i9 7980XE150300450600750Min: 830.5 / Avg: 849.3 / Max: 861Min: 809.2 / Avg: 875.23 / Max: 917.3Min: 789 / Avg: 845.18 / Max: 933.51. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108023Core i9 7980XE306090120150SE +/- 0.43, N = 3SE +/- 1.36, N = 3SE +/- 1.44, N = 3117.2115.9117.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108023Core i9 7980XE20406080100Min: 116.6 / Avg: 117.17 / Max: 118Min: 113.3 / Avg: 115.9 / Max: 117.9Min: 115 / Avg: 117.2 / Max: 119.91. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

VKMark

VKMark is a collection of Vulkan tests/benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 108023Core i9 7980XE5001000150020002500SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 32454245324541. (CXX) g++ options: -shared -fPIC
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 108023Core i9 7980XE400800120016002000Min: 2453 / Avg: 2454.33 / Max: 2456Min: 2451 / Avg: 2452.67 / Max: 2455Min: 2453 / Avg: 2454.33 / Max: 24561. (CXX) g++ options: -shared -fPIC

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup23Core i9 7980XE612182430SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 324.724.524.41. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup23Core i9 7980XE612182430Min: 24.7 / Avg: 24.7 / Max: 24.7Min: 24.3 / Avg: 24.47 / Max: 24.7Min: 24.2 / Avg: 24.37 / Max: 24.71. (CC) gcc options: -fopenmp -O3 -lm

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search23Core i9 7980XE4080120160200SE +/- 0.55, N = 3SE +/- 0.92, N = 3SE +/- 0.51, N = 3161.60160.46160.981. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search23Core i9 7980XE306090120150Min: 161.03 / Avg: 161.6 / Max: 162.7Min: 158.76 / Avg: 160.46 / Max: 161.94Min: 159.97 / Avg: 160.98 / Max: 161.621. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA23Core i9 7980XE3691215SE +/- 0.099, N = 7SE +/- 0.067, N = 3SE +/- 0.036, N = 39.3639.4219.2251. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA23Core i9 7980XE3691215Min: 9.08 / Avg: 9.36 / Max: 9.86Min: 9.29 / Avg: 9.42 / Max: 9.51Min: 9.18 / Avg: 9.23 / Max: 9.31. (CC) gcc options: -std=c99 -O3 -lm -lpthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein23Core i9 7980XE3691215SE +/- 0.178, N = 3SE +/- 0.436, N = 12SE +/- 0.160, N = 410.6899.44710.7471. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein23Core i9 7980XE3691215Min: 10.34 / Avg: 10.69 / Max: 10.94Min: 5.96 / Avg: 9.45 / Max: 11.01Min: 10.4 / Avg: 10.75 / Max: 11.071. (CXX) g++ options: -O3 -pthread -lm

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 0.7.1Throughput Test: Kostya23Core i9 7980XE0.1260.2520.3780.5040.63SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.560.560.561. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya23Core i9 7980XE246810Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.56 / Avg: 0.56 / Max: 0.561. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom23Core i9 7980XE0.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.431. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom23Core i9 7980XE12345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.431. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets23Core i9 7980XE0.1530.3060.4590.6120.765SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.680.680.681. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets23Core i9 7980XE246810Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.68 / Avg: 0.68 / Max: 0.681. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID23Core i9 7980XE0.15750.3150.47250.630.7875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.700.700.701. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID23Core i9 7980XE246810Min: 0.69 / Avg: 0.7 / Max: 0.7Min: 0.7 / Avg: 0.7 / Max: 0.7Min: 0.7 / Avg: 0.7 / Max: 0.71. (CXX) g++ options: -O3 -pthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed23Core i9 7980XE15003000450060007500SE +/- 1.04, N = 3SE +/- 2.41, N = 3SE +/- 23.84, N = 37106.497096.617054.241. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed23Core i9 7980XE12002400360048006000Min: 7104.8 / Avg: 7106.49 / Max: 7108.39Min: 7091.8 / Avg: 7096.61 / Max: 7099.27Min: 7021.66 / Avg: 7054.24 / Max: 7100.691. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed23Core i9 7980XE2K4K6K8K10KSE +/- 2.50, N = 3SE +/- 0.64, N = 3SE +/- 22.92, N = 38673.38737.09022.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed23Core i9 7980XE16003200480064008000Min: 8670.4 / Avg: 8673.33 / Max: 8678.3Min: 8735.7 / Avg: 8736.97 / Max: 8737.8Min: 8997.5 / Avg: 9022 / Max: 9067.81. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed23Core i9 7980XE1224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 355.0255.0555.041. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed23Core i9 7980XE1122334455Min: 55.01 / Avg: 55.02 / Max: 55.03Min: 55.04 / Avg: 55.05 / Max: 55.06Min: 55.03 / Avg: 55.04 / Max: 55.041. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed23Core i9 7980XE2K4K6K8K10KSE +/- 1.35, N = 3SE +/- 21.46, N = 3SE +/- 37.42, N = 38520.58594.88589.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed23Core i9 7980XE15003000450060007500Min: 8517.8 / Avg: 8520.5 / Max: 8522Min: 8572.3 / Avg: 8594.8 / Max: 8637.7Min: 8525.7 / Avg: 8589.93 / Max: 8655.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed23Core i9 7980XE1224364860SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 353.5853.6253.621. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed23Core i9 7980XE1122334455Min: 53.44 / Avg: 53.58 / Max: 53.66Min: 53.58 / Avg: 53.62 / Max: 53.65Min: 53.57 / Avg: 53.62 / Max: 53.661. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed23Core i9 7980XE2K4K6K8K10KSE +/- 18.32, N = 3SE +/- 18.98, N = 3SE +/- 35.36, N = 38567.58604.98593.81. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed23Core i9 7980XE15003000450060007500Min: 8530.9 / Avg: 8567.53 / Max: 8586.3Min: 8585.8 / Avg: 8604.93 / Max: 8642.9Min: 8532.4 / Avg: 8593.83 / Max: 8654.91. (CC) gcc options: -O3

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time23Core i9 7980XE2M4M6M8M10MSE +/- 12229.73, N = 3SE +/- 15756.44, N = 3SE +/- 39988.02, N = 38474504843103983695411. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time23Core i9 7980XE1.5M3M4.5M6M7.5MMin: 8451645 / Avg: 8474504 / Max: 8493470Min: 8403519 / Avg: 8431038.67 / Max: 8458095Min: 8326254 / Avg: 8369541.33 / Max: 84494241. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU23Core i9 7980XE0.52631.05261.57892.10522.6315SE +/- 0.00207, N = 3SE +/- 0.00074, N = 3SE +/- 0.04029, N = 32.182762.182682.33906MIN: 2.11MIN: 2.12MIN: 2.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU23Core i9 7980XE246810Min: 2.18 / Avg: 2.18 / Max: 2.19Min: 2.18 / Avg: 2.18 / Max: 2.18Min: 2.27 / Avg: 2.34 / Max: 2.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU23Core i9 7980XE1.07632.15263.22894.30525.3815SE +/- 0.00244, N = 3SE +/- 0.00303, N = 3SE +/- 0.00631, N = 34.642904.783343.93216MIN: 4.61MIN: 4.75MIN: 3.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU23Core i9 7980XE246810Min: 4.64 / Avg: 4.64 / Max: 4.65Min: 4.78 / Avg: 4.78 / Max: 4.79Min: 3.92 / Avg: 3.93 / Max: 3.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE0.20450.4090.61350.8181.0225SE +/- 0.000788, N = 3SE +/- 0.000408, N = 3SE +/- 0.004776, N = 30.8576390.8583560.908921MIN: 0.84MIN: 0.84MIN: 0.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 0.9 / Avg: 0.91 / Max: 0.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE0.28110.56220.84331.12441.4055SE +/- 0.00131, N = 3SE +/- 0.00037, N = 3SE +/- 0.01319, N = 31.038431.028781.24926MIN: 1MIN: 1MIN: 1.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.03Min: 1.23 / Avg: 1.25 / Max: 1.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE1.26992.53983.80975.07966.3495SE +/- 0.00589, N = 3SE +/- 0.00095, N = 3SE +/- 0.01518, N = 35.487995.474375.64388MIN: 5.41MIN: 5.39MIN: 5.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE246810Min: 5.48 / Avg: 5.49 / Max: 5.5Min: 5.47 / Avg: 5.47 / Max: 5.48Min: 5.62 / Avg: 5.64 / Max: 5.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE0.60021.20041.80062.40083.001SE +/- 0.00571, N = 3SE +/- 0.00372, N = 3SE +/- 0.00296, N = 32.551722.667402.24603MIN: 2.5MIN: 2.6MIN: 2.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE246810Min: 2.54 / Avg: 2.55 / Max: 2.56Min: 2.66 / Avg: 2.67 / Max: 2.67Min: 2.24 / Avg: 2.25 / Max: 2.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU23Core i9 7980XE246810SE +/- 0.00445, N = 3SE +/- 0.00264, N = 3SE +/- 0.01596, N = 38.787218.811608.91526MIN: 8.74MIN: 8.77MIN: 8.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU23Core i9 7980XE3691215Min: 8.78 / Avg: 8.79 / Max: 8.79Min: 8.81 / Avg: 8.81 / Max: 8.82Min: 8.88 / Avg: 8.92 / Max: 8.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU23Core i9 7980XE0.46850.9371.40551.8742.3425SE +/- 0.00424, N = 3SE +/- 0.02243, N = 3SE +/- 0.01515, N = 32.025482.037482.08218MIN: 2MIN: 1.98MIN: 2.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU23Core i9 7980XE246810Min: 2.02 / Avg: 2.03 / Max: 2.03Min: 2.01 / Avg: 2.04 / Max: 2.08Min: 2.06 / Avg: 2.08 / Max: 2.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU23Core i9 7980XE0.58471.16941.75412.33882.9235SE +/- 0.00401, N = 3SE +/- 0.00527, N = 3SE +/- 0.01244, N = 32.592772.587402.59872MIN: 2.57MIN: 2.56MIN: 2.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU23Core i9 7980XE246810Min: 2.59 / Avg: 2.59 / Max: 2.6Min: 2.58 / Avg: 2.59 / Max: 2.6Min: 2.58 / Avg: 2.6 / Max: 2.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810SE +/- 0.00393, N = 3SE +/- 0.00393, N = 3SE +/- 0.03728, N = 38.341448.357228.51594MIN: 8.28MIN: 8.31MIN: 8.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE3691215Min: 8.34 / Avg: 8.34 / Max: 8.35Min: 8.35 / Avg: 8.36 / Max: 8.36Min: 8.44 / Avg: 8.52 / Max: 8.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE0.23550.4710.70650.9421.1775SE +/- 0.00068, N = 3SE +/- 0.00041, N = 3SE +/- 0.00393, N = 31.040631.040241.04649MIN: 1.02MIN: 1.02MIN: 1.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.05 / Max: 1.051. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE0.36220.72441.08661.44881.811SE +/- 0.00259, N = 3SE +/- 0.00275, N = 3SE +/- 0.00755, N = 31.563411.566071.60994MIN: 1.55MIN: 1.54MIN: 1.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810Min: 1.56 / Avg: 1.56 / Max: 1.57Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 1.59 / Avg: 1.61 / Max: 1.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU23Core i9 7980XE30060090012001500SE +/- 1.59, N = 3SE +/- 1.88, N = 3SE +/- 16.28, N = 31502.961508.591471.29MIN: 1498.33MIN: 1503.13MIN: 1438.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU23Core i9 7980XE30060090012001500Min: 1500.44 / Avg: 1502.96 / Max: 1505.9Min: 1505.33 / Avg: 1508.59 / Max: 1511.85Min: 1440.93 / Avg: 1471.29 / Max: 1496.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU23Core i9 7980XE2004006008001000SE +/- 2.74, N = 3SE +/- 3.32, N = 3SE +/- 10.97, N = 3858.42862.19832.91MIN: 849.32MIN: 854.95MIN: 809.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU23Core i9 7980XE150300450600750Min: 853.04 / Avg: 858.42 / Max: 861.96Min: 858.52 / Avg: 862.18 / Max: 868.82Min: 811.74 / Avg: 832.91 / Max: 848.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE30060090012001500SE +/- 1.63, N = 3SE +/- 2.48, N = 3SE +/- 0.74, N = 31501.611507.181475.24MIN: 1496.52MIN: 1501.15MIN: 1469.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE30060090012001500Min: 1499.1 / Avg: 1501.61 / Max: 1504.68Min: 1503.46 / Avg: 1507.18 / Max: 1511.89Min: 1473.77 / Avg: 1475.24 / Max: 1476.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE246810SE +/- 0.00731, N = 3SE +/- 0.00143, N = 3SE +/- 0.00694, N = 38.035998.035448.02349MIN: 7.76MIN: 7.85MIN: 7.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE3691215Min: 8.03 / Avg: 8.04 / Max: 8.05Min: 8.03 / Avg: 8.04 / Max: 8.04Min: 8.01 / Avg: 8.02 / Max: 8.041. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.2310.2310.23MIN: 10.13MIN: 10.12MIN: 10.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE3691215Min: 10.22 / Avg: 10.23 / Max: 10.23Min: 10.22 / Avg: 10.23 / Max: 10.23Min: 10.23 / Avg: 10.23 / Max: 10.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.0111.0111.02MIN: 10.97MIN: 10.95MIN: 10.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE3691215Min: 11.01 / Avg: 11.01 / Max: 11.02Min: 11 / Avg: 11.01 / Max: 11.01Min: 11.01 / Avg: 11.02 / Max: 11.041. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE2004006008001000SE +/- 1.65, N = 3SE +/- 1.47, N = 3SE +/- 2.96, N = 3864.18859.30848.65MIN: 857.89MIN: 854.06MIN: 839.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE150300450600750Min: 861.14 / Avg: 864.18 / Max: 866.84Min: 857.26 / Avg: 859.3 / Max: 862.16Min: 842.98 / Avg: 848.65 / Max: 852.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU23Core i9 7980XE0.29780.59560.89341.19121.489SE +/- 0.00203, N = 3SE +/- 0.00041, N = 3SE +/- 0.01444, N = 31.267301.275651.32361MIN: 1.23MIN: 1.24MIN: 1.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU23Core i9 7980XE246810Min: 1.26 / Avg: 1.27 / Max: 1.27Min: 1.27 / Avg: 1.28 / Max: 1.28Min: 1.3 / Avg: 1.32 / Max: 1.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE30060090012001500SE +/- 2.30, N = 3SE +/- 0.18, N = 3SE +/- 10.68, N = 31497.621503.441464.86MIN: 1488.82MIN: 1501.1MIN: 1441.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE30060090012001500Min: 1493.34 / Avg: 1497.62 / Max: 1501.2Min: 1503.17 / Avg: 1503.44 / Max: 1503.77Min: 1443.53 / Avg: 1464.86 / Max: 1476.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE2004006008001000SE +/- 4.67, N = 3SE +/- 1.71, N = 3SE +/- 10.82, N = 3862.00862.60835.45MIN: 849.37MIN: 855.52MIN: 810.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE150300450600750Min: 852.67 / Avg: 862 / Max: 866.94Min: 859.58 / Avg: 862.6 / Max: 865.52Min: 813.83 / Avg: 835.45 / Max: 846.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE0.1180.2360.3540.4720.59SE +/- 0.001107, N = 3SE +/- 0.001976, N = 3SE +/- 0.005827, N = 30.5073570.5044440.524628MIN: 0.49MIN: 0.48MIN: 0.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU23Core i9 7980XE246810Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.51Min: 0.51 / Avg: 0.52 / Max: 0.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE0.40230.80461.20691.60922.0115SE +/- 0.00370, N = 3SE +/- 0.00248, N = 3SE +/- 0.00063, N = 31.786211.776521.78784MIN: 1.75MIN: 1.72MIN: 1.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU23Core i9 7980XE246810Min: 1.78 / Avg: 1.79 / Max: 1.79Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 1.79 / Avg: 1.79 / Max: 1.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 0.8.1Video Input: Chimera 1080p23Core i9 7980XE80160240320400SE +/- 1.44, N = 3SE +/- 0.60, N = 3SE +/- 0.35, N = 3347.72346.49349.55MIN: 258.98 / MAX: 443.52MIN: 258.28 / MAX: 441.85MIN: 259.74 / MAX: 445.081. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p23Core i9 7980XE60120180240300Min: 344.97 / Avg: 347.72 / Max: 349.82Min: 345.71 / Avg: 346.49 / Max: 347.67Min: 349.1 / Avg: 349.55 / Max: 350.251. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K23Core i9 7980XE4080120160200SE +/- 0.56, N = 3SE +/- 1.52, N = 3SE +/- 0.89, N = 3194.64194.46196.22MIN: 136.83 / MAX: 213.3MIN: 123.84 / MAX: 216.76MIN: 135.12 / MAX: 218.731. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K23Core i9 7980XE4080120160200Min: 193.73 / Avg: 194.64 / Max: 195.66Min: 192.75 / Avg: 194.46 / Max: 197.49Min: 194.84 / Avg: 196.22 / Max: 197.881. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p23Core i9 7980XE70140210280350SE +/- 0.37, N = 3SE +/- 2.81, N = 3SE +/- 0.30, N = 3335.83332.24334.55MIN: 228.86 / MAX: 364.14MIN: 190.39 / MAX: 362.74MIN: 230.08 / MAX: 362.331. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p23Core i9 7980XE60120180240300Min: 335.36 / Avg: 335.83 / Max: 336.56Min: 326.68 / Avg: 332.24 / Max: 335.75Min: 333.96 / Avg: 334.55 / Max: 334.931. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit23Core i9 7980XE1428425670SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 364.2064.1664.14MIN: 46.74 / MAX: 133.97MIN: 46.62 / MAX: 131.11MIN: 46.71 / MAX: 131.21. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit23Core i9 7980XE1326395265Min: 63.81 / Avg: 64.2 / Max: 64.57Min: 64.02 / Avg: 64.16 / Max: 64.28Min: 64.06 / Avg: 64.14 / Max: 64.251. (CC) gcc options: -pthread

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 123Core i9 7980XE0.07850.1570.23550.3140.3925SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.3480.3490.349
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 123Core i9 7980XE12345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 523Core i9 7980XE0.21760.43520.65280.87041.088SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 30.9670.9670.967
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 523Core i9 7980XE246810Min: 0.96 / Avg: 0.97 / Max: 0.97Min: 0.96 / Avg: 0.97 / Max: 0.97Min: 0.96 / Avg: 0.97 / Max: 0.97

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 623Core i9 7980XE0.28530.57060.85591.14121.4265SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 31.2641.2671.268
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 623Core i9 7980XE246810Min: 1.26 / Avg: 1.26 / Max: 1.27Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.26 / Avg: 1.27 / Max: 1.27

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1023Core i9 7980XE0.60191.20381.80572.40763.0095SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.014, N = 32.6662.6752.670
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1023Core i9 7980XE246810Min: 2.66 / Avg: 2.67 / Max: 2.68Min: 2.67 / Avg: 2.68 / Max: 2.68Min: 2.64 / Avg: 2.67 / Max: 2.69

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second23Core i9 7980XE130K260K390K520K650KSE +/- 1736.73, N = 3SE +/- 613.05, N = 3SE +/- 1817.41, N = 3606794.10606118.54608081.891. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second23Core i9 7980XE110K220K330K440K550KMin: 604483.25 / Avg: 606794.1 / Max: 610195.35Min: 604991.18 / Avg: 606118.54 / Max: 607099.69Min: 604711.71 / Avg: 608081.89 / Max: 610946.121. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time23Core i9 7980XE7M14M21M28M35MSE +/- 213488.50, N = 3SE +/- 123992.68, N = 3SE +/- 207205.61, N = 33445573534952370340971171. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time23Core i9 7980XE6M12M18M24M30MMin: 34038507 / Avg: 34455735 / Max: 34742915Min: 34788545 / Avg: 34952370.33 / Max: 35195508Min: 33871440 / Avg: 34097117 / Max: 345109621. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth23Core i9 7980XE11M22M33M44M55MSE +/- 2419928.92, N = 12SE +/- 273651.28, N = 3SE +/- 133586.54, N = 3528589035111598449912833
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth23Core i9 7980XE9M18M27M36M45MMin: 49032769 / Avg: 52858902.83 / Max: 79387445Min: 50797266 / Avg: 51115984 / Max: 51660660Min: 49651313 / Avg: 49912832.67 / Max: 50090939

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile23Core i9 7980XE816243240SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 335.8535.8335.79
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile23Core i9 7980XE816243240Min: 35.63 / Avg: 35.85 / Max: 36.09Min: 35.7 / Avg: 35.83 / Max: 35.98Min: 35.66 / Avg: 35.79 / Max: 35.87

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile23Core i9 7980XE20406080100SE +/- 0.25, N = 3SE +/- 0.17, N = 3SE +/- 0.38, N = 3100.37100.31100.10
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile23Core i9 7980XE20406080100Min: 99.91 / Avg: 100.37 / Max: 100.77Min: 100.07 / Avg: 100.31 / Max: 100.64Min: 99.42 / Avg: 100.1 / Max: 100.73

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark23Core i9 7980XE80160240320400SE +/- 0.85, N = 3SE +/- 1.56, N = 3SE +/- 0.13, N = 3364.84361.22361.61
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark23Core i9 7980XE70140210280350Min: 363.84 / Avg: 364.84 / Max: 366.54Min: 358.75 / Avg: 361.22 / Max: 364.11Min: 361.42 / Avg: 361.61 / Max: 361.86

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile23Core i9 7980XE20406080100SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 377.8977.8777.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile23Core i9 7980XE1530456075Min: 77.73 / Avg: 77.88 / Max: 78.07Min: 77.78 / Avg: 77.87 / Max: 77.97Min: 77.08 / Avg: 77.57 / Max: 77.87

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE23Core i9 7980XE3691215SE +/- 0.07, N = 5SE +/- 0.13, N = 5SE +/- 0.11, N = 511.5511.5511.471. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE23Core i9 7980XE3691215Min: 11.45 / Avg: 11.55 / Max: 11.84Min: 11.3 / Avg: 11.55 / Max: 12.03Min: 11.27 / Avg: 11.47 / Max: 11.881. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Ogg Audio Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg23Core i9 7980XE510152025SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 320.6920.6020.871. (CC) gcc options: -O2 -ffast-math -fsigned-char
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg23Core i9 7980XE510152025Min: 20.56 / Avg: 20.69 / Max: 20.78Min: 20.37 / Avg: 20.6 / Max: 20.77Min: 20.67 / Avg: 20.87 / Max: 21.141. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode23Core i9 7980XE3691215SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 510.2610.2510.261. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode23Core i9 7980XE3691215Min: 10.23 / Avg: 10.26 / Max: 10.3Min: 10.21 / Avg: 10.25 / Max: 10.32Min: 10.18 / Avg: 10.26 / Max: 10.341. (CXX) g++ options: -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis23Core i9 7980XE612182430SE +/- 0.02, N = 4SE +/- 0.10, N = 4SE +/- 0.12, N = 427.3627.2727.071. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis23Core i9 7980XE612182430Min: 27.29 / Avg: 27.36 / Max: 27.41Min: 26.99 / Avg: 27.27 / Max: 27.48Min: 26.71 / Avg: 27.07 / Max: 27.261. (CC) gcc options: -O2 -std=c99

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark23Core i9 7980XE3691215SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 310.6910.5910.591. Nodejs v12.18.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark23Core i9 7980XE3691215Min: 10.51 / Avg: 10.69 / Max: 10.92Min: 10.52 / Avg: 10.59 / Max: 10.71Min: 10.49 / Avg: 10.59 / Max: 10.741. Nodejs v12.18.2

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark23Core i9 7980XE0.37960.75921.13881.51841.898SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.6871.6831.6821. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark23Core i9 7980XE246810Min: 1.69 / Avg: 1.69 / Max: 1.69Min: 1.68 / Avg: 1.68 / Max: 1.69Min: 1.68 / Avg: 1.68 / Max: 1.681. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP23Core i9 7980XE600K1200K1800K2400K3000KSE +/- 24327.35, N = 3SE +/- 19287.44, N = 3SE +/- 39213.63, N = 31722981.911720852.622578751.331. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP23Core i9 7980XE400K800K1200K1600K2000KMin: 1675149.12 / Avg: 1722981.91 / Max: 1754610.5Min: 1692155.62 / Avg: 1720852.62 / Max: 1757525.5Min: 2519133.5 / Avg: 2578751.33 / Max: 2652689.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD23Core i9 7980XE500K1000K1500K2000K2500KSE +/- 16575.48, N = 14SE +/- 32244.49, N = 3SE +/- 30991.89, N = 32107896.312128915.082065673.291. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD23Core i9 7980XE400K800K1200K1600K2000KMin: 1976347.88 / Avg: 2107896.31 / Max: 2202643.25Min: 2096436.12 / Avg: 2128915.08 / Max: 2193403.5Min: 2008032.12 / Avg: 2065673.29 / Max: 2114232.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH23Core i9 7980XE400K800K1200K1600K2000KSE +/- 21917.86, N = 3SE +/- 12969.42, N = 3SE +/- 18655.43, N = 31693028.951721511.841674700.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH23Core i9 7980XE300K600K900K1200K1500KMin: 1664479.12 / Avg: 1693028.95 / Max: 1736111.12Min: 1700680.25 / Avg: 1721511.84 / Max: 1745312.38Min: 1642036 / Avg: 1674700.5 / Max: 1706648.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET23Core i9 7980XE500K1000K1500K2000K2500KSE +/- 21466.57, N = 15SE +/- 30683.51, N = 3SE +/- 26006.00, N = 32332364.222365268.502462113.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET23Core i9 7980XE400K800K1200K1600K2000KMin: 2141396 / Avg: 2332364.22 / Max: 2451058.75Min: 2310060 / Avg: 2365268.5 / Max: 2416077.25Min: 2410101.25 / Avg: 2462113.25 / Max: 2488119.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET23Core i9 7980XE400K800K1200K1600K2000KSE +/- 32154.00, N = 3SE +/- 19226.72, N = 3SE +/- 12088.78, N = 31899085.711851483.581920930.951. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET23Core i9 7980XE300K600K900K1200K1500KMin: 1835390.75 / Avg: 1899085.71 / Max: 1938604.75Min: 1814940.12 / Avg: 1851483.58 / Max: 1880120.25Min: 1897654.62 / Avg: 1920930.95 / Max: 1938232.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.023Core i9 7980XE246810SE +/- 0.088, N = 3SE +/- 0.116, N = 3SE +/- 0.067, N = 157.1867.5987.290MIN: 6.79 / MAX: 7.96MIN: 6.98 / MAX: 8.26MIN: 6.56 / MAX: 8.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.023Core i9 7980XE3691215Min: 7.03 / Avg: 7.19 / Max: 7.34Min: 7.41 / Avg: 7.6 / Max: 7.81Min: 6.77 / Avg: 7.29 / Max: 7.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-5023Core i9 7980XE918273645SE +/- 4.55, N = 3SE +/- 0.05, N = 3SE +/- 0.81, N = 1533.1837.5636.33MIN: 23.9 / MAX: 38.01MIN: 33.56 / MAX: 39.99MIN: 28.39 / MAX: 38.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-5023Core i9 7980XE816243240Min: 24.07 / Avg: 33.18 / Max: 37.73Min: 37.5 / Avg: 37.56 / Max: 37.66Min: 28.55 / Avg: 36.33 / Max: 37.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22423Core i9 7980XE1.00152.0033.00454.0065.0075SE +/- 0.037, N = 3SE +/- 0.183, N = 3SE +/- 0.062, N = 154.4514.3114.441MIN: 4.12 / MAX: 4.73MIN: 3.67 / MAX: 4.7MIN: 3.65 / MAX: 5.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22423Core i9 7980XE246810Min: 4.38 / Avg: 4.45 / Max: 4.5Min: 3.95 / Avg: 4.31 / Max: 4.5Min: 3.9 / Avg: 4.44 / Max: 4.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.023Core i9 7980XE0.60321.20641.80962.41283.016SE +/- 0.034, N = 3SE +/- 0.038, N = 3SE +/- 0.019, N = 152.6162.6812.673MIN: 2.44 / MAX: 2.73MIN: 2.51 / MAX: 2.92MIN: 2.38 / MAX: 2.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.023Core i9 7980XE246810Min: 2.56 / Avg: 2.62 / Max: 2.67Min: 2.62 / Avg: 2.68 / Max: 2.75Min: 2.54 / Avg: 2.67 / Max: 2.821. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v323Core i9 7980XE1122334455SE +/- 0.06, N = 3SE +/- 1.47, N = 3SE +/- 0.72, N = 1548.5847.0546.57MIN: 48.18 / MAX: 48.92MIN: 43.88 / MAX: 49.13MIN: 40.68 / MAX: 52.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v323Core i9 7980XE1020304050Min: 48.46 / Avg: 48.58 / Max: 48.67Min: 44.14 / Avg: 47.05 / Max: 48.85Min: 40.99 / Avg: 46.57 / Max: 49.071. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet23Core i9 7980XE48121620SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 316.9516.9816.81MIN: 16.82 / MAX: 18.05MIN: 16.82 / MAX: 20.32MIN: 16.46 / MAX: 17.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet23Core i9 7980XE48121620Min: 16.92 / Avg: 16.95 / Max: 17Min: 16.92 / Avg: 16.98 / Max: 17.07Min: 16.54 / Avg: 16.81 / Max: 16.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v223Core i9 7980XE1.29152.5833.87455.1666.4575SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 35.635.745.73MIN: 5.31 / MAX: 7.12MIN: 5.28 / MAX: 7.03MIN: 5.3 / MAX: 6.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v223Core i9 7980XE246810Min: 5.61 / Avg: 5.63 / Max: 5.64Min: 5.64 / Avg: 5.74 / Max: 5.93Min: 5.58 / Avg: 5.73 / Max: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v323Core i9 7980XE1.11152.2233.33454.4465.5575SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 34.904.944.91MIN: 4.68 / MAX: 15.56MIN: 4.61 / MAX: 6.42MIN: 4.63 / MAX: 5.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v323Core i9 7980XE246810Min: 4.85 / Avg: 4.9 / Max: 4.95Min: 4.8 / Avg: 4.94 / Max: 5.04Min: 4.81 / Avg: 4.91 / Max: 5.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v223Core i9 7980XE1.26682.53363.80045.06726.334SE +/- 0.04, N = 3SE +/- 0.05, N = 2SE +/- 0.02, N = 35.625.635.60MIN: 5.47 / MAX: 6.38MIN: 5.49 / MAX: 6.78MIN: 5.48 / MAX: 6.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v223Core i9 7980XE246810Min: 5.56 / Avg: 5.62 / Max: 5.69Min: 5.58 / Avg: 5.63 / Max: 5.68Min: 5.57 / Avg: 5.6 / Max: 5.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet23Core i9 7980XE1.172.343.514.685.85SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 35.165.205.14MIN: 4.9 / MAX: 6.01MIN: 4.86 / MAX: 6.44MIN: 4.84 / MAX: 6.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet23Core i9 7980XE246810Min: 5.13 / Avg: 5.16 / Max: 5.22Min: 5.07 / Avg: 5.2 / Max: 5.32Min: 5.07 / Avg: 5.14 / Max: 5.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b023Core i9 7980XE246810SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 37.017.177.02MIN: 6.74 / MAX: 7.39MIN: 6.7 / MAX: 7.48MIN: 6.58 / MAX: 7.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b023Core i9 7980XE3691215Min: 6.95 / Avg: 7.01 / Max: 7.11Min: 7.09 / Avg: 7.17 / Max: 7.26Min: 6.81 / Avg: 7.02 / Max: 7.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface23Core i9 7980XE0.61881.23761.85642.47523.094SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 32.602.602.75MIN: 2.55 / MAX: 2.69MIN: 2.54 / MAX: 2.71MIN: 2.55 / MAX: 31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface23Core i9 7980XE246810Min: 2.58 / Avg: 2.6 / Max: 2.62Min: 2.58 / Avg: 2.6 / Max: 2.62Min: 2.58 / Avg: 2.75 / Max: 2.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet23Core i9 7980XE48121620SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 0.48, N = 313.8314.3514.32MIN: 13.65 / MAX: 14.86MIN: 13.59 / MAX: 14.95MIN: 13.31 / MAX: 16.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet23Core i9 7980XE48121620Min: 13.72 / Avg: 13.83 / Max: 13.96Min: 13.69 / Avg: 14.35 / Max: 14.73Min: 13.38 / Avg: 14.32 / Max: 14.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1623Core i9 7980XE816243240SE +/- 0.06, N = 3SE +/- 0.34, N = 3SE +/- 0.43, N = 332.4132.8233.03MIN: 32.23 / MAX: 33.77MIN: 32.4 / MAX: 34.23MIN: 32.39 / MAX: 42.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1623Core i9 7980XE714212835Min: 32.32 / Avg: 32.41 / Max: 32.52Min: 32.47 / Avg: 32.82 / Max: 33.5Min: 32.51 / Avg: 33.03 / Max: 33.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1823Core i9 7980XE3691215SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 311.2511.4311.42MIN: 10.93 / MAX: 11.71MIN: 10.97 / MAX: 12.58MIN: 10.95 / MAX: 11.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1823Core i9 7980XE3691215Min: 11.04 / Avg: 11.25 / Max: 11.63Min: 11.04 / Avg: 11.43 / Max: 11.64Min: 11.03 / Avg: 11.42 / Max: 11.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet23Core i9 7980XE3691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 38.989.139.06MIN: 8.87 / MAX: 9.57MIN: 9.08 / MAX: 9.24MIN: 8.88 / MAX: 9.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet23Core i9 7980XE3691215Min: 8.9 / Avg: 8.98 / Max: 9.1Min: 9.12 / Avg: 9.13 / Max: 9.13Min: 8.92 / Avg: 9.06 / Max: 9.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5023Core i9 7980XE510152025SE +/- 0.02, N = 3SE +/- 0.32, N = 3SE +/- 0.03, N = 320.5121.0820.54MIN: 20.29 / MAX: 21.65MIN: 20.26 / MAX: 21.72MIN: 20.27 / MAX: 31.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5023Core i9 7980XE510152025Min: 20.49 / Avg: 20.51 / Max: 20.56Min: 20.44 / Avg: 21.08 / Max: 21.46Min: 20.5 / Avg: 20.54 / Max: 20.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny23Core i9 7980XE612182430SE +/- 0.04, N = 3SE +/- 0.46, N = 3SE +/- 0.03, N = 323.6024.0323.56MIN: 23.38 / MAX: 27.92MIN: 23.38 / MAX: 34.51MIN: 23.39 / MAX: 24.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny23Core i9 7980XE612182430Min: 23.52 / Avg: 23.6 / Max: 23.66Min: 23.54 / Avg: 24.03 / Max: 24.94Min: 23.51 / Avg: 23.56 / Max: 23.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd23Core i9 7980XE48121620SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 316.0516.1216.02MIN: 15.93 / MAX: 17.12MIN: 15.92 / MAX: 16.46MIN: 15.92 / MAX: 17.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd23Core i9 7980XE48121620Min: 16.04 / Avg: 16.05 / Max: 16.07Min: 16.02 / Avg: 16.12 / Max: 16.32Min: 16.02 / Avg: 16.02 / Max: 16.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m23Core i9 7980XE612182430SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 325.3725.1825.10MIN: 24.92 / MAX: 26.38MIN: 24.74 / MAX: 26.54MIN: 24.75 / MAX: 26.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m23Core i9 7980XE612182430Min: 25.13 / Avg: 25.37 / Max: 25.67Min: 24.98 / Avg: 25.18 / Max: 25.45Min: 25.02 / Avg: 25.1 / Max: 25.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet23Core i9 7980XE48121620SE +/- 0.13, N = 14SE +/- 0.02, N = 3SE +/- 0.03, N = 317.1116.9417.05MIN: 16.35 / MAX: 27.82MIN: 16.8 / MAX: 17.65MIN: 16.85 / MAX: 18.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet23Core i9 7980XE48121620Min: 16.46 / Avg: 17.11 / Max: 18.14Min: 16.92 / Avg: 16.94 / Max: 16.97Min: 17 / Avg: 17.05 / Max: 17.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v223Core i9 7980XE1.31852.6373.95555.2746.5925SE +/- 0.08, N = 14SE +/- 0.02, N = 3SE +/- 0.06, N = 35.865.635.68MIN: 5.29 / MAX: 7.73MIN: 5.35 / MAX: 6.99MIN: 5.35 / MAX: 7.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v223Core i9 7980XE246810Min: 5.59 / Avg: 5.86 / Max: 6.43Min: 5.6 / Avg: 5.63 / Max: 5.67Min: 5.56 / Avg: 5.68 / Max: 5.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v323Core i9 7980XE1.11152.2233.33454.4465.5575SE +/- 0.05, N = 14SE +/- 0.07, N = 3SE +/- 0.11, N = 34.944.914.86MIN: 4.63 / MAX: 6.6MIN: 4.71 / MAX: 6.44MIN: 4.64 / MAX: 6.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v323Core i9 7980XE246810Min: 4.72 / Avg: 4.94 / Max: 5.3Min: 4.77 / Avg: 4.91 / Max: 5.02Min: 4.68 / Avg: 4.86 / Max: 5.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v223Core i9 7980XE1.26452.5293.79355.0586.3225SE +/- 0.01, N = 14SE +/- 0.01, N = 3SE +/- 0.02, N = 35.625.625.59MIN: 5.5 / MAX: 6.92MIN: 5.51 / MAX: 6.76MIN: 5.49 / MAX: 6.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v223Core i9 7980XE246810Min: 5.58 / Avg: 5.62 / Max: 5.69Min: 5.59 / Avg: 5.62 / Max: 5.63Min: 5.57 / Avg: 5.59 / Max: 5.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet23Core i9 7980XE1.1882.3763.5644.7525.94SE +/- 0.06, N = 14SE +/- 0.12, N = 3SE +/- 0.08, N = 35.285.205.16MIN: 4.84 / MAX: 7.05MIN: 4.9 / MAX: 6.82MIN: 4.9 / MAX: 6.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet23Core i9 7980XE246810Min: 5.04 / Avg: 5.28 / Max: 5.68Min: 5 / Avg: 5.2 / Max: 5.4Min: 5.06 / Avg: 5.16 / Max: 5.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b023Core i9 7980XE246810SE +/- 0.07, N = 14SE +/- 0.08, N = 3SE +/- 0.12, N = 37.247.077.06MIN: 6.66 / MAX: 8.46MIN: 6.79 / MAX: 7.32MIN: 6.67 / MAX: 7.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b023Core i9 7980XE3691215Min: 6.89 / Avg: 7.24 / Max: 7.65Min: 6.99 / Avg: 7.07 / Max: 7.22Min: 6.84 / Avg: 7.06 / Max: 7.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface23Core i9 7980XE0.61431.22861.84292.45723.0715SE +/- 0.04, N = 14SE +/- 0.06, N = 3SE +/- 0.06, N = 32.732.652.64MIN: 2.53 / MAX: 3.62MIN: 2.54 / MAX: 2.8MIN: 2.54 / MAX: 2.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface23Core i9 7980XE246810Min: 2.58 / Avg: 2.73 / Max: 2.97Min: 2.59 / Avg: 2.65 / Max: 2.76Min: 2.58 / Avg: 2.64 / Max: 2.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet23Core i9 7980XE48121620SE +/- 0.15, N = 14SE +/- 0.30, N = 3SE +/- 0.38, N = 314.3714.1714.04MIN: 13.31 / MAX: 16MIN: 13.67 / MAX: 15.9MIN: 13.32 / MAX: 16.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet23Core i9 7980XE48121620Min: 13.42 / Avg: 14.37 / Max: 15.05Min: 13.74 / Avg: 14.17 / Max: 14.75Min: 13.42 / Avg: 14.04 / Max: 14.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1623Core i9 7980XE816243240SE +/- 0.18, N = 14SE +/- 0.38, N = 3SE +/- 0.37, N = 333.1232.9733.35MIN: 32.23 / MAX: 35.3MIN: 32.47 / MAX: 44.23MIN: 32.45 / MAX: 43.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1623Core i9 7980XE714212835Min: 32.3 / Avg: 33.12 / Max: 33.95Min: 32.57 / Avg: 32.97 / Max: 33.73Min: 32.6 / Avg: 33.35 / Max: 33.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet1823Core i9 7980XE3691215SE +/- 0.09, N = 14SE +/- 0.01, N = 3SE +/- 0.11, N = 311.3111.0410.93MIN: 10.66 / MAX: 12.88MIN: 10.97 / MAX: 11.13MIN: 10.66 / MAX: 11.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet1823Core i9 7980XE3691215Min: 10.71 / Avg: 11.31 / Max: 11.67Min: 11.03 / Avg: 11.04 / Max: 11.05Min: 10.71 / Avg: 10.93 / Max: 11.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet23Core i9 7980XE3691215SE +/- 0.02, N = 14SE +/- 0.02, N = 3SE +/- 0.07, N = 39.079.139.02MIN: 8.84 / MAX: 10.07MIN: 9.06 / MAX: 18.71MIN: 8.84 / MAX: 9.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet23Core i9 7980XE3691215Min: 8.88 / Avg: 9.07 / Max: 9.15Min: 9.1 / Avg: 9.13 / Max: 9.15Min: 8.88 / Avg: 9.02 / Max: 9.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet5023Core i9 7980XE510152025SE +/- 0.13, N = 14SE +/- 0.30, N = 3SE +/- 0.29, N = 321.0420.8221.10MIN: 20.22 / MAX: 35.33MIN: 20.33 / MAX: 21.67MIN: 20.35 / MAX: 22.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet5023Core i9 7980XE510152025Min: 20.35 / Avg: 21.04 / Max: 21.55Min: 20.49 / Avg: 20.82 / Max: 21.42Min: 20.53 / Avg: 21.1 / Max: 21.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny23Core i9 7980XE612182430SE +/- 0.24, N = 14SE +/- 0.04, N = 3SE +/- 0.41, N = 324.4823.5424.42MIN: 23.33 / MAX: 26.4MIN: 23.38 / MAX: 23.73MIN: 23.47 / MAX: 25.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny23Core i9 7980XE612182430Min: 23.46 / Avg: 24.48 / Max: 25.67Min: 23.48 / Avg: 23.54 / Max: 23.61Min: 23.61 / Avg: 24.42 / Max: 24.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd23Core i9 7980XE48121620SE +/- 0.10, N = 14SE +/- 0.10, N = 3SE +/- 0.09, N = 316.3216.1216.22MIN: 15.89 / MAX: 27.31MIN: 15.91 / MAX: 19.39MIN: 15.94 / MAX: 17.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd23Core i9 7980XE48121620Min: 15.96 / Avg: 16.32 / Max: 17.15Min: 16.02 / Avg: 16.12 / Max: 16.31Min: 16.03 / Avg: 16.22 / Max: 16.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m23Core i9 7980XE612182430SE +/- 0.06, N = 14SE +/- 0.08, N = 3SE +/- 0.04, N = 325.3425.3525.20MIN: 24.64 / MAX: 30.71MIN: 24.98 / MAX: 27.01MIN: 24.84 / MAX: 26.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m23Core i9 7980XE612182430Min: 24.89 / Avg: 25.34 / Max: 25.57Min: 25.27 / Avg: 25.35 / Max: 25.51Min: 25.13 / Avg: 25.2 / Max: 25.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom23Core i9 7980XE0.70521.41042.11562.82083.526SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 33.1273.1293.134
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom23Core i9 7980XE246810Min: 3.12 / Avg: 3.13 / Max: 3.13Min: 3.12 / Avg: 3.13 / Max: 3.14Min: 3.13 / Avg: 3.13 / Max: 3.14

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar23Core i9 7980XE246810SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.010, N = 37.5007.4777.474
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar23Core i9 7980XE3691215Min: 7.48 / Avg: 7.5 / Max: 7.51Min: 7.46 / Avg: 7.48 / Max: 7.49Min: 7.46 / Avg: 7.47 / Max: 7.49

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack23Core i9 7980XE48121620SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 514.9114.9114.901. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack23Core i9 7980XE48121620Min: 14.86 / Avg: 14.91 / Max: 14.97Min: 14.88 / Avg: 14.91 / Max: 14.96Min: 14.87 / Avg: 14.9 / Max: 151. (CXX) g++ options: -rdynamic

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz23Core i9 7980XE510152025SE +/- 0.15, N = 4SE +/- 0.17, N = 4SE +/- 0.12, N = 421.1121.5321.28
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz23Core i9 7980XE510152025Min: 20.7 / Avg: 21.11 / Max: 21.42Min: 21.05 / Avg: 21.53 / Max: 21.79Min: 21.03 / Avg: 21.28 / Max: 21.57

113 Results Shown

DDraceNetwork
DDraceNetwork
DDraceNetwork
DDraceNetwork
Warsow
yquake2:
  OpenGL 1.x - 1920 x 1080
  OpenGL 3.x - 1920 x 1080
  Software CPU - 1920 x 1080
VKMark
CLOMP
Timed HMMer Search
Timed MAFFT Alignment
LAMMPS Molecular Dynamics Simulator
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
Crafty
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
rav1e:
  1
  5
  6
  10
Coremark
Stockfish
asmFish
Timed FFmpeg Compilation
Build2
Numpy Benchmark
Timed Eigen Compilation
Monkey Audio Encoding
Ogg Audio Encoding
Opus Codec Encoding
eSpeak-NG Speech Engine
Node.js V8 Web Tooling Benchmark
GROMACS
Redis:
  LPOP
  SADD
  LPUSH
  GET
  SET
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
WavPack Audio Encoding
Unpacking Firefox