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.
HTML result view exported from: https://openbenchmarking.org/result/2101105-HA-COREI979868&sor .
Core i9 7980XE Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Core i9 7980XE 2 3 Intel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads) ASUS PRIME X299-A (2002 BIOS) Intel Sky Lake-E DMI3 Registers 16GB Samsung SSD 970 EVO 500GB Gigabyte AMD Radeon 540/540X/550/550X / RX 540X/550/550X 2GB (1206/1750MHz) Realtek ALC1220 G237HL Intel I219-V Ubuntu 20.10 5.8.0-36-generic (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 modesetting 1.20.9 4.6 Mesa 20.2.6 (LLVM 11.0.0) 1.2.131 GCC 10.2.0 ext4 1920x1080 OpenBenchmarking.org Compiler 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: 0x2006a08 Graphics Details - GLAMOR Python Details - Python 3.8.6 Security 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 7980XE ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2 ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymap warsow: 1920 x 1080 yquake2: OpenGL 1.x - 1920 x 1080 yquake2: OpenGL 3.x - 1920 x 1080 yquake2: Software CPU - 1920 x 1080 vkmark: 1920 x 1080 clomp: Static OMP Speedup hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA lammps: Rhodopsin Protein simdjson: Kostya simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID compress-lz4: 1 - Compression Speed compress-lz4: 1 - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed crafty: Elapsed Time onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 coremark: CoreMark Size 666 - Iterations Per Second stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth build-ffmpeg: Time To Compile build2: Time To Compile numpy: build-eigen: Time To Compile encode-ape: WAV To APE encode-ogg: WAV To Ogg encode-opus: WAV To Opus Encode espeak: Text-To-Speech Synthesis node-web-tooling: gromacs: Water Benchmark redis: LPOP redis: SADD redis: LPUSH redis: GET redis: SET mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m indigobench: CPU - Bedroom indigobench: CPU - Supercar encode-wavpack: WAV To WavPack unpack-firefox: firefox-84.0.source.tar.xz Core i9 7980XE 2 3 327.97 240.76 229.0 574.8 845.2 117.2 2454 24.4 160.976 9.225 10.747 0.56 0.43 0.68 0.7 7054.24 9022.0 55.04 8589.9 53.62 8593.8 8369541 2.33906 3.93216 0.908921 1.24926 5.64388 2.24603 8.91526 2.08218 2.59872 8.51594 1.04649 1.60994 1471.29 832.907 1475.24 8.02349 10.2318 11.0177 848.647 1.32361 1464.86 835.454 0.524628 1.78784 349.55 196.22 334.55 64.14 0.349 0.967 1.268 2.670 608081.893607 34097117 49912833 35.789 100.099 361.61 77.570 11.469 20.873 10.257 27.067 10.59 1.682 2578751.33 2065673.29 1674700.50 2462113.25 1920930.95 7.290 36.332 4.441 2.673 46.571 16.81 5.73 4.91 5.60 5.14 7.02 2.75 14.32 33.03 11.42 9.06 20.54 23.56 16.02 25.10 17.05 5.68 4.86 5.59 5.16 7.06 2.64 14.04 33.35 10.93 9.02 21.10 24.42 16.22 25.20 3.134 7.474 14.904 21.275 327.92 242.38 233.0 567.6 849.3 117.2 2454 24.7 161.598 9.363 10.689 0.56 0.43 0.68 0.70 7106.49 8673.3 55.02 8520.5 53.58 8567.5 8474504 2.18276 4.64290 0.857639 1.03843 5.48799 2.55172 8.78721 2.02548 2.59277 8.34144 1.04063 1.56341 1502.96 858.424 1501.61 8.03599 10.2253 11.0106 864.178 1.26730 1497.62 861.996 0.507357 1.78621 347.72 194.64 335.83 64.20 0.348 0.967 1.264 2.666 606794.102657 34455735 52858903 35.849 100.371 364.84 77.885 11.551 20.693 10.256 27.361 10.69 1.687 1722981.91 2107896.31 1693028.95 2332364.22 1899085.71 7.186 33.176 4.451 2.616 48.582 16.95 5.63 4.90 5.62 5.16 7.01 2.60 13.83 32.41 11.25 8.98 20.51 23.60 16.05 25.37 17.11 5.86 4.94 5.62 5.28 7.24 2.73 14.37 33.12 11.31 9.07 21.04 24.48 16.32 25.34 3.127 7.500 14.907 21.106 328.02 239.88 232.0 572.2 875.2 115.9 2453 24.5 160.460 9.421 9.447 0.56 0.43 0.68 0.7 7096.61 8737.0 55.05 8594.8 53.62 8604.9 8431039 2.18268 4.78334 0.858356 1.02878 5.47437 2.66740 8.81160 2.03748 2.58740 8.35722 1.04024 1.56607 1508.59 862.185 1507.18 8.03544 10.2305 11.0075 859.302 1.27565 1503.44 862.596 0.504444 1.77652 346.49 194.46 332.24 64.16 0.349 0.967 1.267 2.675 606118.535484 34952370 51115984 35.833 100.308 361.22 77.868 11.554 20.598 10.251 27.271 10.59 1.683 1720852.62 2128915.08 1721511.84 2365268.50 1851483.58 7.598 37.561 4.311 2.681 47.048 16.98 5.74 4.94 5.63 5.20 7.17 2.60 14.35 32.82 11.43 9.13 21.08 24.03 16.12 25.18 16.94 5.63 4.91 5.62 5.20 7.07 2.65 14.17 32.97 11.04 9.13 20.82 23.54 16.12 25.35 3.129 7.477 14.908 21.530 OpenBenchmarking.org
DDraceNetwork Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 3 Core i9 7980XE 2 70 140 210 280 350 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 328.02 327.97 327.92 MIN: 163.32 / MAX: 396.04 MIN: 216.87 / MAX: 385.21 MIN: 180.77 / MAX: 382.41 1. (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
DDraceNetwork Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time OpenBenchmarking.org Milliseconds, Fewer Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time 3 2 Core i9 7980XE 3 6 9 12 15 Min: 2.59 / Avg: 3.06 / Max: 8.05 Min: 2.63 / Avg: 3.06 / Max: 8.22 Min: 2.63 / Avg: 3.06 / Max: 8.16 1. (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
DDraceNetwork Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap 2 Core i9 7980XE 3 50 100 150 200 250 SE +/- 2.03, N = 3 SE +/- 1.11, N = 3 SE +/- 0.20, N = 3 242.38 240.76 239.88 MIN: 110.33 / MAX: 414.59 MIN: 112.26 / MAX: 423.37 MIN: 111.31 / MAX: 373.97 1. (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
DDraceNetwork Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time OpenBenchmarking.org Milliseconds, Fewer Is Better DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time 2 3 Core i9 7980XE 3 6 9 12 15 Min: 2.52 / Avg: 4.1 / Max: 8.69 Min: 2.67 / Avg: 4.19 / Max: 7.87 Min: 2.88 / Avg: 4.2 / Max: 8.51 1. (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 Resolution: 1920 x 1080 OpenBenchmarking.org Frames Per Second, More Is Better Warsow 2.5 Beta Resolution: 1920 x 1080 2 3 Core i9 7980XE 50 100 150 200 250 SE +/- 0.99, N = 3 SE +/- 0.26, N = 3 SE +/- 3.09, N = 4 233.0 232.0 229.0
yquake2 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Core i9 7980XE 3 2 120 240 360 480 600 SE +/- 5.07, N = 15 SE +/- 5.77, N = 3 SE +/- 6.27, N = 3 574.8 572.2 567.6 1. (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
yquake2 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 3 2 Core i9 7980XE 200 400 600 800 1000 SE +/- 8.55, N = 15 SE +/- 9.49, N = 3 SE +/- 10.83, N = 15 875.2 849.3 845.2 1. (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
yquake2 Renderer: Software CPU - Resolution: 1920 x 1080 OpenBenchmarking.org Frames Per Second, More Is Better yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 2 Core i9 7980XE 3 30 60 90 120 150 SE +/- 0.43, N = 3 SE +/- 1.44, N = 3 SE +/- 1.36, N = 3 117.2 117.2 115.9 1. (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 Resolution: 1920 x 1080 OpenBenchmarking.org VKMark Score, More Is Better VKMark 2020-05-21 Resolution: 1920 x 1080 2 Core i9 7980XE 3 500 1000 1500 2000 2500 SE +/- 0.88, N = 3 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 2454 2454 2453 1. (CXX) g++ options: -shared -fPIC
CLOMP Static OMP Speedup OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup 2 3 Core i9 7980XE 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 24.7 24.5 24.4 1. (CC) gcc options: -fopenmp -O3 -lm
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 3 Core i9 7980XE 2 40 80 120 160 200 SE +/- 0.92, N = 3 SE +/- 0.51, N = 3 SE +/- 0.55, N = 3 160.46 160.98 161.60 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.036, N = 3 SE +/- 0.099, N = 7 SE +/- 0.067, N = 3 9.225 9.363 9.421 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.160, N = 4 SE +/- 0.178, N = 3 SE +/- 0.436, N = 12 10.747 10.689 9.447 1. (CXX) g++ options: -O3 -pthread -lm
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya 3 2 Core i9 7980XE 0.126 0.252 0.378 0.504 0.63 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.56 0.56 0.56 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom 3 2 Core i9 7980XE 0.0968 0.1936 0.2904 0.3872 0.484 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.43 0.43 0.43 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets 3 2 Core i9 7980XE 0.153 0.306 0.459 0.612 0.765 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.68 0.68 0.68 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID 3 2 Core i9 7980XE 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.70 0.70 0.70 1. (CXX) g++ options: -O3 -pthread
LZ4 Compression Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed 2 3 Core i9 7980XE 1500 3000 4500 6000 7500 SE +/- 1.04, N = 3 SE +/- 2.41, N = 3 SE +/- 23.84, N = 3 7106.49 7096.61 7054.24 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 1 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed Core i9 7980XE 3 2 2K 4K 6K 8K 10K SE +/- 22.92, N = 3 SE +/- 0.64, N = 3 SE +/- 2.50, N = 3 9022.0 8737.0 8673.3 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed 3 Core i9 7980XE 2 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 55.05 55.04 55.02 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed 3 Core i9 7980XE 2 2K 4K 6K 8K 10K SE +/- 21.46, N = 3 SE +/- 37.42, N = 3 SE +/- 1.35, N = 3 8594.8 8589.9 8520.5 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed 3 Core i9 7980XE 2 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 53.62 53.62 53.58 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed 3 Core i9 7980XE 2 2K 4K 6K 8K 10K SE +/- 18.98, N = 3 SE +/- 35.36, N = 3 SE +/- 18.32, N = 3 8604.9 8593.8 8567.5 1. (CC) gcc options: -O3
Crafty Elapsed Time OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time 2 3 Core i9 7980XE 2M 4M 6M 8M 10M SE +/- 12229.73, N = 3 SE +/- 15756.44, N = 3 SE +/- 39988.02, N = 3 8474504 8431039 8369541 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 3 2 Core i9 7980XE 0.5263 1.0526 1.5789 2.1052 2.6315 SE +/- 0.00074, N = 3 SE +/- 0.00207, N = 3 SE +/- 0.04029, N = 3 2.18268 2.18276 2.33906 MIN: 2.12 MIN: 2.11 MIN: 2.19 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU Core i9 7980XE 2 3 1.0763 2.1526 3.2289 4.3052 5.3815 SE +/- 0.00631, N = 3 SE +/- 0.00244, N = 3 SE +/- 0.00303, N = 3 3.93216 4.64290 4.78334 MIN: 3.9 MIN: 4.61 MIN: 4.75 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 2 3 Core i9 7980XE 0.2045 0.409 0.6135 0.818 1.0225 SE +/- 0.000788, N = 3 SE +/- 0.000408, N = 3 SE +/- 0.004776, N = 3 0.857639 0.858356 0.908921 MIN: 0.84 MIN: 0.84 MIN: 0.88 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 3 2 Core i9 7980XE 0.2811 0.5622 0.8433 1.1244 1.4055 SE +/- 0.00037, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.01319, N = 3 1.02878 1.03843 1.24926 MIN: 1 MIN: 1 MIN: 1.14 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU 3 2 Core i9 7980XE 1.2699 2.5398 3.8097 5.0796 6.3495 SE +/- 0.00095, N = 3 SE +/- 0.00589, N = 3 SE +/- 0.01518, N = 3 5.47437 5.48799 5.64388 MIN: 5.39 MIN: 5.41 MIN: 5.53 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU Core i9 7980XE 2 3 0.6002 1.2004 1.8006 2.4008 3.001 SE +/- 0.00296, N = 3 SE +/- 0.00571, N = 3 SE +/- 0.00372, N = 3 2.24603 2.55172 2.66740 MIN: 2.19 MIN: 2.5 MIN: 2.6 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 2 3 Core i9 7980XE 2 4 6 8 10 SE +/- 0.00445, N = 3 SE +/- 0.00264, N = 3 SE +/- 0.01596, N = 3 8.78721 8.81160 8.91526 MIN: 8.74 MIN: 8.77 MIN: 8.84 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 2 3 Core i9 7980XE 0.4685 0.937 1.4055 1.874 2.3425 SE +/- 0.00424, N = 3 SE +/- 0.02243, N = 3 SE +/- 0.01515, N = 3 2.02548 2.03748 2.08218 MIN: 2 MIN: 1.98 MIN: 2.03 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 3 2 Core i9 7980XE 0.5847 1.1694 1.7541 2.3388 2.9235 SE +/- 0.00527, N = 3 SE +/- 0.00401, N = 3 SE +/- 0.01244, N = 3 2.58740 2.59277 2.59872 MIN: 2.56 MIN: 2.57 MIN: 2.56 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 2 3 Core i9 7980XE 2 4 6 8 10 SE +/- 0.00393, N = 3 SE +/- 0.00393, N = 3 SE +/- 0.03728, N = 3 8.34144 8.35722 8.51594 MIN: 8.28 MIN: 8.31 MIN: 8.39 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 3 2 Core i9 7980XE 0.2355 0.471 0.7065 0.942 1.1775 SE +/- 0.00041, N = 3 SE +/- 0.00068, N = 3 SE +/- 0.00393, N = 3 1.04024 1.04063 1.04649 MIN: 1.02 MIN: 1.02 MIN: 1.03 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 2 3 Core i9 7980XE 0.3622 0.7244 1.0866 1.4488 1.811 SE +/- 0.00259, N = 3 SE +/- 0.00275, N = 3 SE +/- 0.00755, N = 3 1.56341 1.56607 1.60994 MIN: 1.55 MIN: 1.54 MIN: 1.57 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Core i9 7980XE 2 3 300 600 900 1200 1500 SE +/- 16.28, N = 3 SE +/- 1.59, N = 3 SE +/- 1.88, N = 3 1471.29 1502.96 1508.59 MIN: 1438.8 MIN: 1498.33 MIN: 1503.13 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Core i9 7980XE 2 3 200 400 600 800 1000 SE +/- 10.97, N = 3 SE +/- 2.74, N = 3 SE +/- 3.32, N = 3 832.91 858.42 862.19 MIN: 809.23 MIN: 849.32 MIN: 854.95 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU Core i9 7980XE 2 3 300 600 900 1200 1500 SE +/- 0.74, N = 3 SE +/- 1.63, N = 3 SE +/- 2.48, N = 3 1475.24 1501.61 1507.18 MIN: 1469.75 MIN: 1496.52 MIN: 1501.15 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU Core i9 7980XE 3 2 2 4 6 8 10 SE +/- 0.00694, N = 3 SE +/- 0.00143, N = 3 SE +/- 0.00731, N = 3 8.02349 8.03544 8.03599 MIN: 7.84 MIN: 7.85 MIN: 7.76 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU 2 3 Core i9 7980XE 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 10.23 10.23 10.23 MIN: 10.13 MIN: 10.12 MIN: 10.13 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU 3 2 Core i9 7980XE 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 11.01 11.01 11.02 MIN: 10.95 MIN: 10.97 MIN: 10.96 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU Core i9 7980XE 3 2 200 400 600 800 1000 SE +/- 2.96, N = 3 SE +/- 1.47, N = 3 SE +/- 1.65, N = 3 848.65 859.30 864.18 MIN: 839.89 MIN: 854.06 MIN: 857.89 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 2 3 Core i9 7980XE 0.2978 0.5956 0.8934 1.1912 1.489 SE +/- 0.00203, N = 3 SE +/- 0.00041, N = 3 SE +/- 0.01444, N = 3 1.26730 1.27565 1.32361 MIN: 1.23 MIN: 1.24 MIN: 1.28 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU Core i9 7980XE 2 3 300 600 900 1200 1500 SE +/- 10.68, N = 3 SE +/- 2.30, N = 3 SE +/- 0.18, N = 3 1464.86 1497.62 1503.44 MIN: 1441.33 MIN: 1488.82 MIN: 1501.1 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU Core i9 7980XE 2 3 200 400 600 800 1000 SE +/- 10.82, N = 3 SE +/- 4.67, N = 3 SE +/- 1.71, N = 3 835.45 862.00 862.60 MIN: 810.69 MIN: 849.37 MIN: 855.52 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 3 2 Core i9 7980XE 0.118 0.236 0.354 0.472 0.59 SE +/- 0.001976, N = 3 SE +/- 0.001107, N = 3 SE +/- 0.005827, N = 3 0.504444 0.507357 0.524628 MIN: 0.48 MIN: 0.49 MIN: 0.5 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU 3 2 Core i9 7980XE 0.4023 0.8046 1.2069 1.6092 2.0115 SE +/- 0.00248, N = 3 SE +/- 0.00370, N = 3 SE +/- 0.00063, N = 3 1.77652 1.78621 1.78784 MIN: 1.72 MIN: 1.75 MIN: 1.73 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
dav1d Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p Core i9 7980XE 2 3 80 160 240 320 400 SE +/- 0.35, N = 3 SE +/- 1.44, N = 3 SE +/- 0.60, N = 3 349.55 347.72 346.49 MIN: 259.74 / MAX: 445.08 MIN: 258.98 / MAX: 443.52 MIN: 258.28 / MAX: 441.85 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 4K Core i9 7980XE 2 3 40 80 120 160 200 SE +/- 0.89, N = 3 SE +/- 0.56, N = 3 SE +/- 1.52, N = 3 196.22 194.64 194.46 MIN: 135.12 / MAX: 218.73 MIN: 136.83 / MAX: 213.3 MIN: 123.84 / MAX: 216.76 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p 2 Core i9 7980XE 3 70 140 210 280 350 SE +/- 0.37, N = 3 SE +/- 0.30, N = 3 SE +/- 2.81, N = 3 335.83 334.55 332.24 MIN: 228.86 / MAX: 364.14 MIN: 230.08 / MAX: 362.33 MIN: 190.39 / MAX: 362.74 1. (CC) gcc options: -pthread
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit 2 3 Core i9 7980XE 14 28 42 56 70 SE +/- 0.22, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 64.20 64.16 64.14 MIN: 46.74 / MAX: 133.97 MIN: 46.62 / MAX: 131.11 MIN: 46.71 / MAX: 131.2 1. (CC) gcc options: -pthread
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 1 3 Core i9 7980XE 2 0.0785 0.157 0.2355 0.314 0.3925 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.349 0.349 0.348
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 3 2 Core i9 7980XE 0.2176 0.4352 0.6528 0.8704 1.088 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 0.967 0.967 0.967
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 Core i9 7980XE 3 2 0.2853 0.5706 0.8559 1.1412 1.4265 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.268 1.267 1.264
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 10 3 Core i9 7980XE 2 0.6019 1.2038 1.8057 2.4076 3.0095 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 2.675 2.670 2.666
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Core i9 7980XE 2 3 130K 260K 390K 520K 650K SE +/- 1817.41, N = 3 SE +/- 1736.73, N = 3 SE +/- 613.05, N = 3 608081.89 606794.10 606118.54 1. (CC) gcc options: -O2 -lrt" -lrt
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time 3 2 Core i9 7980XE 7M 14M 21M 28M 35M SE +/- 123992.68, N = 3 SE +/- 213488.50, N = 3 SE +/- 207205.61, N = 3 34952370 34455735 34097117 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth 2 3 Core i9 7980XE 11M 22M 33M 44M 55M SE +/- 2419928.92, N = 12 SE +/- 273651.28, N = 3 SE +/- 133586.54, N = 3 52858903 51115984 49912833
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i9 7980XE 3 2 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 35.79 35.83 35.85
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile Core i9 7980XE 3 2 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 100.10 100.31 100.37
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark 2 Core i9 7980XE 3 80 160 240 320 400 SE +/- 0.85, N = 3 SE +/- 0.13, N = 3 SE +/- 1.56, N = 3 364.84 361.61 361.22
Timed Eigen Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile Core i9 7980XE 3 2 20 40 60 80 100 SE +/- 0.25, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 77.57 77.87 77.89
Monkey Audio Encoding WAV To APE OpenBenchmarking.org Seconds, Fewer Is Better Monkey Audio Encoding 3.99.6 WAV To APE Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.11, N = 5 SE +/- 0.07, N = 5 SE +/- 0.13, N = 5 11.47 11.55 11.55 1. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
Ogg Audio Encoding WAV To Ogg OpenBenchmarking.org Seconds, Fewer Is Better Ogg Audio Encoding 1.3.4 WAV To Ogg 3 2 Core i9 7980XE 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 20.60 20.69 20.87 1. (CC) gcc options: -O2 -ffast-math -fsigned-char
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode 3 2 Core i9 7980XE 3 6 9 12 15 SE +/- 0.02, N = 5 SE +/- 0.01, N = 5 SE +/- 0.03, N = 5 10.25 10.26 10.26 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Core i9 7980XE 3 2 6 12 18 24 30 SE +/- 0.12, N = 4 SE +/- 0.10, N = 4 SE +/- 0.02, N = 4 27.07 27.27 27.36 1. (CC) gcc options: -O2 -std=c99
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark 2 3 Core i9 7980XE 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 10.69 10.59 10.59 1. Nodejs
v12.18.2
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark 2 3 Core i9 7980XE 0.3796 0.7592 1.1388 1.5184 1.898 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 1.687 1.683 1.682 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Redis Test: LPOP OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPOP Core i9 7980XE 2 3 600K 1200K 1800K 2400K 3000K SE +/- 39213.63, N = 3 SE +/- 24327.35, N = 3 SE +/- 19287.44, N = 3 2578751.33 1722981.91 1720852.62 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Redis Test: SADD OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD 3 2 Core i9 7980XE 500K 1000K 1500K 2000K 2500K SE +/- 32244.49, N = 3 SE +/- 16575.48, N = 14 SE +/- 30991.89, N = 3 2128915.08 2107896.31 2065673.29 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Redis Test: LPUSH OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH 3 2 Core i9 7980XE 400K 800K 1200K 1600K 2000K SE +/- 12969.42, N = 3 SE +/- 21917.86, N = 3 SE +/- 18655.43, N = 3 1721511.84 1693028.95 1674700.50 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Redis Test: GET OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET Core i9 7980XE 3 2 500K 1000K 1500K 2000K 2500K SE +/- 26006.00, N = 3 SE +/- 30683.51, N = 3 SE +/- 21466.57, N = 15 2462113.25 2365268.50 2332364.22 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Redis Test: SET OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET Core i9 7980XE 2 3 400K 800K 1200K 1600K 2000K SE +/- 12088.78, N = 3 SE +/- 32154.00, N = 3 SE +/- 19226.72, N = 3 1920930.95 1899085.71 1851483.58 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 2 Core i9 7980XE 3 2 4 6 8 10 SE +/- 0.088, N = 3 SE +/- 0.067, N = 15 SE +/- 0.116, N = 3 7.186 7.290 7.598 MIN: 6.79 / MAX: 7.96 MIN: 6.56 / MAX: 8.14 MIN: 6.98 / MAX: 8.26 1. (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
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 2 Core i9 7980XE 3 9 18 27 36 45 SE +/- 4.55, N = 3 SE +/- 0.81, N = 15 SE +/- 0.05, N = 3 33.18 36.33 37.56 MIN: 23.9 / MAX: 38.01 MIN: 28.39 / MAX: 38.24 MIN: 33.56 / MAX: 39.99 1. (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
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 3 Core i9 7980XE 2 1.0015 2.003 3.0045 4.006 5.0075 SE +/- 0.183, N = 3 SE +/- 0.062, N = 15 SE +/- 0.037, N = 3 4.311 4.441 4.451 MIN: 3.67 / MAX: 4.7 MIN: 3.65 / MAX: 5.13 MIN: 4.12 / MAX: 4.73 1. (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
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 2 Core i9 7980XE 3 0.6032 1.2064 1.8096 2.4128 3.016 SE +/- 0.034, N = 3 SE +/- 0.019, N = 15 SE +/- 0.038, N = 3 2.616 2.673 2.681 MIN: 2.44 / MAX: 2.73 MIN: 2.38 / MAX: 2.97 MIN: 2.51 / MAX: 2.92 1. (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
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 Core i9 7980XE 3 2 11 22 33 44 55 SE +/- 0.72, N = 15 SE +/- 1.47, N = 3 SE +/- 0.06, N = 3 46.57 47.05 48.58 MIN: 40.68 / MAX: 52.26 MIN: 43.88 / MAX: 49.13 MIN: 48.18 / MAX: 48.92 1. (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 Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 16.81 16.95 16.98 MIN: 16.46 / MAX: 17.72 MIN: 16.82 / MAX: 18.05 MIN: 16.82 / MAX: 20.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 2 Core i9 7980XE 3 1.2915 2.583 3.8745 5.166 6.4575 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 5.63 5.73 5.74 MIN: 5.31 / MAX: 7.12 MIN: 5.3 / MAX: 6.84 MIN: 5.28 / MAX: 7.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 2 Core i9 7980XE 3 1.1115 2.223 3.3345 4.446 5.5575 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 4.90 4.91 4.94 MIN: 4.68 / MAX: 15.56 MIN: 4.63 / MAX: 5.66 MIN: 4.61 / MAX: 6.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 Core i9 7980XE 2 3 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 2 5.60 5.62 5.63 MIN: 5.48 / MAX: 6.75 MIN: 5.47 / MAX: 6.38 MIN: 5.49 / MAX: 6.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet Core i9 7980XE 2 3 1.17 2.34 3.51 4.68 5.85 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 5.14 5.16 5.20 MIN: 4.84 / MAX: 6.6 MIN: 4.9 / MAX: 6.01 MIN: 4.86 / MAX: 6.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 2 Core i9 7980XE 3 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 7.01 7.02 7.17 MIN: 6.74 / MAX: 7.39 MIN: 6.58 / MAX: 7.9 MIN: 6.7 / MAX: 7.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface 2 3 Core i9 7980XE 0.6188 1.2376 1.8564 2.4752 3.094 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 2.60 2.60 2.75 MIN: 2.55 / MAX: 2.69 MIN: 2.54 / MAX: 2.71 MIN: 2.55 / MAX: 3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet 2 Core i9 7980XE 3 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.48, N = 3 SE +/- 0.33, N = 3 13.83 14.32 14.35 MIN: 13.65 / MAX: 14.86 MIN: 13.31 / MAX: 16.2 MIN: 13.59 / MAX: 14.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 2 3 Core i9 7980XE 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.34, N = 3 SE +/- 0.43, N = 3 32.41 32.82 33.03 MIN: 32.23 / MAX: 33.77 MIN: 32.4 / MAX: 34.23 MIN: 32.39 / MAX: 42.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 2 Core i9 7980XE 3 3 6 9 12 15 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 11.25 11.42 11.43 MIN: 10.93 / MAX: 11.71 MIN: 10.95 / MAX: 11.75 MIN: 10.97 / MAX: 12.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet 2 Core i9 7980XE 3 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 8.98 9.06 9.13 MIN: 8.87 / MAX: 9.57 MIN: 8.88 / MAX: 9.2 MIN: 9.08 / MAX: 9.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 2 Core i9 7980XE 3 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.32, N = 3 20.51 20.54 21.08 MIN: 20.29 / MAX: 21.65 MIN: 20.27 / MAX: 31.41 MIN: 20.26 / MAX: 21.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny Core i9 7980XE 2 3 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.46, N = 3 23.56 23.60 24.03 MIN: 23.39 / MAX: 24.76 MIN: 23.38 / MAX: 27.92 MIN: 23.38 / MAX: 34.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 16.02 16.05 16.12 MIN: 15.92 / MAX: 17.12 MIN: 15.93 / MAX: 17.12 MIN: 15.92 / MAX: 16.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m Core i9 7980XE 3 2 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 25.10 25.18 25.37 MIN: 24.75 / MAX: 26.1 MIN: 24.74 / MAX: 26.54 MIN: 24.92 / MAX: 26.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mobilenet 3 Core i9 7980XE 2 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 14 16.94 17.05 17.11 MIN: 16.8 / MAX: 17.65 MIN: 16.85 / MAX: 18.11 MIN: 16.35 / MAX: 27.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 3 Core i9 7980XE 2 1.3185 2.637 3.9555 5.274 6.5925 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 14 5.63 5.68 5.86 MIN: 5.35 / MAX: 6.99 MIN: 5.35 / MAX: 7.32 MIN: 5.29 / MAX: 7.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Core i9 7980XE 3 2 1.1115 2.223 3.3345 4.446 5.5575 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 14 4.86 4.91 4.94 MIN: 4.64 / MAX: 6.21 MIN: 4.71 / MAX: 6.44 MIN: 4.63 / MAX: 6.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 Core i9 7980XE 2 3 1.2645 2.529 3.7935 5.058 6.3225 SE +/- 0.02, N = 3 SE +/- 0.01, N = 14 SE +/- 0.01, N = 3 5.59 5.62 5.62 MIN: 5.49 / MAX: 6.68 MIN: 5.5 / MAX: 6.92 MIN: 5.51 / MAX: 6.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mnasnet Core i9 7980XE 3 2 1.188 2.376 3.564 4.752 5.94 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 14 5.16 5.20 5.28 MIN: 4.9 / MAX: 6.7 MIN: 4.9 / MAX: 6.82 MIN: 4.84 / MAX: 7.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 Core i9 7980XE 3 2 2 4 6 8 10 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 14 7.06 7.07 7.24 MIN: 6.67 / MAX: 7.38 MIN: 6.79 / MAX: 7.32 MIN: 6.66 / MAX: 8.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: blazeface Core i9 7980XE 3 2 0.6143 1.2286 1.8429 2.4572 3.0715 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 14 2.64 2.65 2.73 MIN: 2.54 / MAX: 2.8 MIN: 2.54 / MAX: 2.8 MIN: 2.53 / MAX: 3.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: googlenet Core i9 7980XE 3 2 4 8 12 16 20 SE +/- 0.38, N = 3 SE +/- 0.30, N = 3 SE +/- 0.15, N = 14 14.04 14.17 14.37 MIN: 13.32 / MAX: 16.21 MIN: 13.67 / MAX: 15.9 MIN: 13.31 / MAX: 16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: vgg16 3 2 Core i9 7980XE 8 16 24 32 40 SE +/- 0.38, N = 3 SE +/- 0.18, N = 14 SE +/- 0.37, N = 3 32.97 33.12 33.35 MIN: 32.47 / MAX: 44.23 MIN: 32.23 / MAX: 35.3 MIN: 32.45 / MAX: 43.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet18 Core i9 7980XE 3 2 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 14 10.93 11.04 11.31 MIN: 10.66 / MAX: 11.15 MIN: 10.97 / MAX: 11.13 MIN: 10.66 / MAX: 12.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: alexnet Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.02, N = 14 SE +/- 0.02, N = 3 9.02 9.07 9.13 MIN: 8.84 / MAX: 9.15 MIN: 8.84 / MAX: 10.07 MIN: 9.06 / MAX: 18.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet50 3 2 Core i9 7980XE 5 10 15 20 25 SE +/- 0.30, N = 3 SE +/- 0.13, N = 14 SE +/- 0.29, N = 3 20.82 21.04 21.10 MIN: 20.33 / MAX: 21.67 MIN: 20.22 / MAX: 35.33 MIN: 20.35 / MAX: 22.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny 3 Core i9 7980XE 2 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.41, N = 3 SE +/- 0.24, N = 14 23.54 24.42 24.48 MIN: 23.38 / MAX: 23.73 MIN: 23.47 / MAX: 25.04 MIN: 23.33 / MAX: 26.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd 3 Core i9 7980XE 2 4 8 12 16 20 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 14 16.12 16.22 16.32 MIN: 15.91 / MAX: 19.39 MIN: 15.94 / MAX: 17.33 MIN: 15.89 / MAX: 27.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m Core i9 7980XE 2 3 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.06, N = 14 SE +/- 0.08, N = 3 25.20 25.34 25.35 MIN: 24.84 / MAX: 26.84 MIN: 24.64 / MAX: 30.71 MIN: 24.98 / MAX: 27.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i9 7980XE 3 2 0.7052 1.4104 2.1156 2.8208 3.526 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 3.134 3.129 3.127
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar 2 3 Core i9 7980XE 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 7.500 7.477 7.474
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 14.90 14.91 14.91 1. (CXX) g++ options: -rdynamic
Unpacking Firefox Extracting: firefox-84.0.source.tar.xz OpenBenchmarking.org Seconds, Fewer Is Better Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz 2 Core i9 7980XE 3 5 10 15 20 25 SE +/- 0.15, N = 4 SE +/- 0.12, N = 4 SE +/- 0.17, N = 4 21.11 21.28 21.53
Phoronix Test Suite v10.8.4