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&grs .
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 redis: LPOP onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU mnn: SqueezeNetV1.0 redis: GET onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU mnn: inception-v3 ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 compress-lz4: 1 - Decompression Speed onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU ncnn: Vulkan GPU - yolov4-tiny ncnn: CPU - googlenet redis: SET yquake2: OpenGL 3.x - 1920 x 1080 onednn: Recurrent Neural Network Inference - f32 - CPU ncnn: Vulkan GPU - resnet18 onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU redis: SADD onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU redis: LPUSH ncnn: CPU - resnet50 onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU ncnn: Vulkan GPU - efficientnet-b0 onednn: Recurrent Neural Network Training - f32 - CPU stockfish: Total Time mnn: mobilenet-v1-1.0 ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - mnasnet ncnn: CPU - efficientnet-b0 onednn: Recurrent Neural Network Training - u8s8f32 - CPU mafft: Multiple Sequence Alignment - LSU RNA onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU unpack-firefox: firefox-84.0.source.tar.xz ncnn: CPU - yolov4-tiny ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU - vgg16 onednn: Recurrent Neural Network Inference - u8s8f32 - CPU warsow: 1920 x 1080 ncnn: CPU - alexnet ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: CPU - resnet18 onednn: Convolution Batch Shapes Auto - f32 - CPU ncnn: Vulkan GPU - resnet50 encode-ogg: WAV To Ogg yquake2: OpenGL 1.x - 1920 x 1080 crafty: Elapsed Time ncnn: Vulkan GPU - squeezenet_ssd clomp: Static OMP Speedup ncnn: Vulkan GPU - alexnet ncnn: CPU - mnasnet ncnn: Vulkan GPU - vgg16 yquake2: Software CPU - 1920 x 1080 espeak: Text-To-Speech Synthesis dav1d: Summer Nature 1080p ncnn: CPU - regnety_400m ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymap ncnn: CPU - mobilenet ncnn: Vulkan GPU - mobilenet numpy: node-web-tooling: dav1d: Summer Nature 4K dav1d: Chimera 1080p compress-lz4: 3 - Decompression Speed ncnn: CPU-v3-v3 - mobilenet-v3 encode-ape: WAV To APE compress-lz4: 1 - Compression Speed hmmer: Pfam Database Search onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU ncnn: CPU - squeezenet_ssd onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - shufflenet-v2 ncnn: CPU - shufflenet-v2 onednn: Deconvolution Batch shapes_3d - f32 - CPU compress-lz4: 9 - Decompression Speed build-eigen: Time To Compile indigobench: CPU - Supercar rav1e: 10 coremark: CoreMark Size 666 - Iterations Per Second rav1e: 6 gromacs: Water Benchmark rav1e: 1 build2: Time To Compile indigobench: CPU - Bedroom build-ffmpeg: Time To Compile onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU dav1d: Chimera 1080p 10-bit onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU compress-lz4: 9 - Compression Speed onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU encode-opus: WAV To Opus Encode compress-lz4: 3 - Compression Speed vkmark: 1920 x 1080 ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2 encode-wavpack: WAV To WavPack rav1e: 5 simdjson: DistinctUserID simdjson: PartialTweets simdjson: LargeRand simdjson: Kostya ncnn: Vulkan GPU - blazeface ncnn: CPU - blazeface mnn: MobileNetV2_224 mnn: resnet-v2-50 asmfish: 1024 Hash Memory, 26 Depth lammps: Rhodopsin Protein Core i9 7980XE 2 3 2578751.33 3.93216 1.24926 2.24603 2.33906 0.908921 7.290 2462113.25 1.32361 46.571 5.68 9022.0 0.524628 24.42 14.32 1920930.95 845.2 832.907 10.93 835.454 5.64388 2065673.29 1.60994 2.08218 1674700.50 20.54 1464.86 7.06 1471.29 34097117 2.673 14.04 5.16 7.02 1475.24 9.225 8.51594 21.275 23.56 5.73 33.03 848.647 229.0 9.06 4.86 11.42 8.91526 21.10 20.873 574.8 8369541 16.22 24.4 9.02 5.14 33.35 117.2 27.067 334.55 25.10 240.76 16.81 17.05 361.61 10.59 196.22 349.55 8589.9 4.91 11.469 7054.24 160.976 1.78784 16.02 1.04649 25.20 5.59 5.60 2.59872 8593.8 77.570 7.474 2.670 608081.893607 1.268 1.682 0.349 100.099 3.134 35.789 8.02349 64.14 11.0177 53.62 10.2318 10.257 55.04 2454 327.97 14.904 0.967 0.7 0.68 0.43 0.56 2.64 2.75 4.441 36.332 49912833 10.747 1722981.91 4.64290 1.03843 2.55172 2.18276 0.857639 7.186 2332364.22 1.26730 48.582 5.86 8673.3 0.507357 24.48 13.83 1899085.71 849.3 858.424 11.31 861.996 5.48799 2107896.31 1.56341 2.02548 1693028.95 20.51 1497.62 7.24 1502.96 34455735 2.616 14.37 5.28 7.01 1501.61 9.363 8.34144 21.106 23.60 5.63 32.41 864.178 233.0 8.98 4.94 11.25 8.78721 21.04 20.693 567.6 8474504 16.32 24.7 9.07 5.16 33.12 117.2 27.361 335.83 25.37 242.38 16.95 17.11 364.84 10.69 194.64 347.72 8520.5 4.90 11.551 7106.49 161.598 1.78621 16.05 1.04063 25.34 5.62 5.62 2.59277 8567.5 77.885 7.500 2.666 606794.102657 1.264 1.687 0.348 100.371 3.127 35.849 8.03599 64.20 11.0106 53.58 10.2253 10.256 55.02 2454 327.92 14.907 0.967 0.70 0.68 0.43 0.56 2.73 2.60 4.451 33.176 52858903 10.689 1720852.62 4.78334 1.02878 2.66740 2.18268 0.858356 7.598 2365268.50 1.27565 47.048 5.63 8737.0 0.504444 23.54 14.35 1851483.58 875.2 862.185 11.04 862.596 5.47437 2128915.08 1.56607 2.03748 1721511.84 21.08 1503.44 7.07 1508.59 34952370 2.681 14.17 5.20 7.17 1507.18 9.421 8.35722 21.530 24.03 5.74 32.82 859.302 232.0 9.13 4.91 11.43 8.81160 20.82 20.598 572.2 8431039 16.12 24.5 9.13 5.20 32.97 115.9 27.271 332.24 25.18 239.88 16.98 16.94 361.22 10.59 194.46 346.49 8594.8 4.94 11.554 7096.61 160.460 1.77652 16.12 1.04024 25.35 5.62 5.63 2.58740 8604.9 77.868 7.477 2.675 606118.535484 1.267 1.683 0.349 100.308 3.129 35.833 8.03544 64.16 11.0075 53.62 10.2305 10.251 55.05 2453 328.02 14.908 0.967 0.7 0.68 0.43 0.56 2.65 2.60 4.311 37.561 51115984 9.447 OpenBenchmarking.org
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 Core i9 7980XE 2 3 3 6 9 12 15 Min: 2.88 / Avg: 4.2 / Max: 8.51 Min: 2.52 / Avg: 4.1 / Max: 8.69 Min: 2.67 / Avg: 4.19 / Max: 7.87 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 Core i9 7980XE 2 3 3 6 9 12 15 Min: 2.63 / Avg: 3.06 / Max: 8.16 Min: 2.63 / Avg: 3.06 / Max: 8.22 Min: 2.59 / Avg: 3.06 / Max: 8.05 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
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
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 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU Core i9 7980XE 2 3 0.2811 0.5622 0.8433 1.1244 1.4055 SE +/- 0.01319, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00037, N = 3 1.24926 1.03843 1.02878 MIN: 1.14 MIN: 1 MIN: 1 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: 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 Core i9 7980XE 2 3 0.5263 1.0526 1.5789 2.1052 2.6315 SE +/- 0.04029, N = 3 SE +/- 0.00207, N = 3 SE +/- 0.00074, N = 3 2.33906 2.18276 2.18268 MIN: 2.19 MIN: 2.11 MIN: 2.12 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 Core i9 7980XE 2 3 0.2045 0.409 0.6135 0.818 1.0225 SE +/- 0.004776, N = 3 SE +/- 0.000788, N = 3 SE +/- 0.000408, N = 3 0.908921 0.857639 0.858356 MIN: 0.88 MIN: 0.84 MIN: 0.84 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.067, N = 15 SE +/- 0.088, N = 3 SE +/- 0.116, N = 3 7.290 7.186 7.598 MIN: 6.56 / MAX: 8.14 MIN: 6.79 / MAX: 7.96 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
Redis Test: GET OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET Core i9 7980XE 2 3 500K 1000K 1500K 2000K 2500K SE +/- 26006.00, N = 3 SE +/- 21466.57, N = 15 SE +/- 30683.51, N = 3 2462113.25 2332364.22 2365268.50 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
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 Core i9 7980XE 2 3 0.2978 0.5956 0.8934 1.1912 1.489 SE +/- 0.01444, N = 3 SE +/- 0.00203, N = 3 SE +/- 0.00041, N = 3 1.32361 1.26730 1.27565 MIN: 1.28 MIN: 1.23 MIN: 1.24 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 Core i9 7980XE 2 3 11 22 33 44 55 SE +/- 0.72, N = 15 SE +/- 0.06, N = 3 SE +/- 1.47, N = 3 46.57 48.58 47.05 MIN: 40.68 / MAX: 52.26 MIN: 48.18 / MAX: 48.92 MIN: 43.88 / MAX: 49.13 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: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Core i9 7980XE 2 3 1.3185 2.637 3.9555 5.274 6.5925 SE +/- 0.06, N = 3 SE +/- 0.08, N = 14 SE +/- 0.02, N = 3 5.68 5.86 5.63 MIN: 5.35 / MAX: 7.32 MIN: 5.29 / MAX: 7.73 MIN: 5.35 / MAX: 6.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 2 3 2K 4K 6K 8K 10K SE +/- 22.92, N = 3 SE +/- 2.50, N = 3 SE +/- 0.64, N = 3 9022.0 8673.3 8737.0 1. (CC) gcc options: -O3
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 Core i9 7980XE 2 3 0.118 0.236 0.354 0.472 0.59 SE +/- 0.005827, N = 3 SE +/- 0.001107, N = 3 SE +/- 0.001976, N = 3 0.524628 0.507357 0.504444 MIN: 0.5 MIN: 0.49 MIN: 0.48 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny Core i9 7980XE 2 3 6 12 18 24 30 SE +/- 0.41, N = 3 SE +/- 0.24, N = 14 SE +/- 0.04, N = 3 24.42 24.48 23.54 MIN: 23.47 / MAX: 25.04 MIN: 23.33 / MAX: 26.4 MIN: 23.38 / MAX: 23.73 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 Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.48, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 14.32 13.83 14.35 MIN: 13.31 / MAX: 16.2 MIN: 13.65 / MAX: 14.86 MIN: 13.59 / MAX: 14.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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
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 Core i9 7980XE 2 3 200 400 600 800 1000 SE +/- 10.83, N = 15 SE +/- 9.49, N = 3 SE +/- 8.55, N = 15 845.2 849.3 875.2 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
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
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet18 Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.09, N = 14 SE +/- 0.01, N = 3 10.93 11.31 11.04 MIN: 10.66 / MAX: 11.15 MIN: 10.66 / MAX: 12.88 MIN: 10.97 / MAX: 11.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 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 Core i9 7980XE 2 3 1.2699 2.5398 3.8097 5.0796 6.3495 SE +/- 0.01518, N = 3 SE +/- 0.00589, N = 3 SE +/- 0.00095, N = 3 5.64388 5.48799 5.47437 MIN: 5.53 MIN: 5.41 MIN: 5.39 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Redis Test: SADD OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD Core i9 7980XE 2 3 500K 1000K 1500K 2000K 2500K SE +/- 30991.89, N = 3 SE +/- 16575.48, N = 14 SE +/- 32244.49, N = 3 2065673.29 2107896.31 2128915.08 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
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 Core i9 7980XE 2 3 0.3622 0.7244 1.0866 1.4488 1.811 SE +/- 0.00755, N = 3 SE +/- 0.00259, N = 3 SE +/- 0.00275, N = 3 1.60994 1.56341 1.56607 MIN: 1.57 MIN: 1.55 MIN: 1.54 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 Core i9 7980XE 2 3 0.4685 0.937 1.4055 1.874 2.3425 SE +/- 0.01515, N = 3 SE +/- 0.00424, N = 3 SE +/- 0.02243, N = 3 2.08218 2.02548 2.03748 MIN: 2.03 MIN: 2 MIN: 1.98 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Redis Test: LPUSH OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPUSH Core i9 7980XE 2 3 400K 800K 1200K 1600K 2000K SE +/- 18655.43, N = 3 SE +/- 21917.86, N = 3 SE +/- 12969.42, N = 3 1674700.50 1693028.95 1721511.84 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 Core i9 7980XE 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 20.54 20.51 21.08 MIN: 20.27 / MAX: 31.41 MIN: 20.29 / MAX: 21.65 MIN: 20.26 / MAX: 21.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.12, N = 3 SE +/- 0.07, N = 14 SE +/- 0.08, N = 3 7.06 7.24 7.07 MIN: 6.67 / MAX: 7.38 MIN: 6.66 / MAX: 8.46 MIN: 6.79 / MAX: 7.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time Core i9 7980XE 2 3 7M 14M 21M 28M 35M SE +/- 207205.61, N = 3 SE +/- 213488.50, N = 3 SE +/- 123992.68, N = 3 34097117 34455735 34952370 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
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 Core i9 7980XE 2 3 0.6032 1.2064 1.8096 2.4128 3.016 SE +/- 0.019, N = 15 SE +/- 0.034, N = 3 SE +/- 0.038, N = 3 2.673 2.616 2.681 MIN: 2.38 / MAX: 2.97 MIN: 2.44 / MAX: 2.73 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
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: googlenet Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.38, N = 3 SE +/- 0.15, N = 14 SE +/- 0.30, N = 3 14.04 14.37 14.17 MIN: 13.32 / MAX: 16.21 MIN: 13.31 / MAX: 16 MIN: 13.67 / MAX: 15.9 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 2 3 1.188 2.376 3.564 4.752 5.94 SE +/- 0.08, N = 3 SE +/- 0.06, N = 14 SE +/- 0.12, N = 3 5.16 5.28 5.20 MIN: 4.9 / MAX: 6.7 MIN: 4.84 / MAX: 7.05 MIN: 4.9 / MAX: 6.82 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 Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 7.02 7.01 7.17 MIN: 6.58 / MAX: 7.9 MIN: 6.74 / MAX: 7.39 MIN: 6.7 / MAX: 7.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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
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
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 Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.03728, N = 3 SE +/- 0.00393, N = 3 SE +/- 0.00393, N = 3 8.51594 8.34144 8.35722 MIN: 8.39 MIN: 8.28 MIN: 8.31 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
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 Core i9 7980XE 2 3 5 10 15 20 25 SE +/- 0.12, N = 4 SE +/- 0.15, N = 4 SE +/- 0.17, N = 4 21.28 21.11 21.53
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-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i9 7980XE 2 3 1.2915 2.583 3.8745 5.166 6.4575 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 5.73 5.63 5.74 MIN: 5.3 / MAX: 6.84 MIN: 5.31 / MAX: 7.12 MIN: 5.28 / MAX: 7.03 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 Core i9 7980XE 2 3 8 16 24 32 40 SE +/- 0.43, N = 3 SE +/- 0.06, N = 3 SE +/- 0.34, N = 3 33.03 32.41 32.82 MIN: 32.39 / MAX: 42.55 MIN: 32.23 / MAX: 33.77 MIN: 32.4 / MAX: 34.23 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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 2 3 200 400 600 800 1000 SE +/- 2.96, N = 3 SE +/- 1.65, N = 3 SE +/- 1.47, N = 3 848.65 864.18 859.30 MIN: 839.89 MIN: 857.89 MIN: 854.06 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Warsow Resolution: 1920 x 1080 OpenBenchmarking.org Frames Per Second, More Is Better Warsow 2.5 Beta Resolution: 1920 x 1080 Core i9 7980XE 2 3 50 100 150 200 250 SE +/- 3.09, N = 4 SE +/- 0.99, N = 3 SE +/- 0.26, N = 3 229.0 233.0 232.0
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 9.06 8.98 9.13 MIN: 8.88 / MAX: 9.2 MIN: 8.87 / MAX: 9.57 MIN: 9.08 / MAX: 9.24 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 2 3 1.1115 2.223 3.3345 4.446 5.5575 SE +/- 0.11, N = 3 SE +/- 0.05, N = 14 SE +/- 0.07, N = 3 4.86 4.94 4.91 MIN: 4.64 / MAX: 6.21 MIN: 4.63 / MAX: 6.6 MIN: 4.71 / MAX: 6.44 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 Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 11.42 11.25 11.43 MIN: 10.95 / MAX: 11.75 MIN: 10.93 / MAX: 11.71 MIN: 10.97 / MAX: 12.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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 Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.01596, N = 3 SE +/- 0.00445, N = 3 SE +/- 0.00264, N = 3 8.91526 8.78721 8.81160 MIN: 8.84 MIN: 8.74 MIN: 8.77 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet50 Core i9 7980XE 2 3 5 10 15 20 25 SE +/- 0.29, N = 3 SE +/- 0.13, N = 14 SE +/- 0.30, N = 3 21.10 21.04 20.82 MIN: 20.35 / MAX: 22.54 MIN: 20.22 / MAX: 35.33 MIN: 20.33 / MAX: 21.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ogg Audio Encoding WAV To Ogg OpenBenchmarking.org Seconds, Fewer Is Better Ogg Audio Encoding 1.3.4 WAV To Ogg Core i9 7980XE 2 3 5 10 15 20 25 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 20.87 20.69 20.60 1. (CC) gcc options: -O2 -ffast-math -fsigned-char
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 2 3 120 240 360 480 600 SE +/- 5.07, N = 15 SE +/- 6.27, N = 3 SE +/- 5.77, N = 3 574.8 567.6 572.2 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
Crafty Elapsed Time OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Core i9 7980XE 2 3 2M 4M 6M 8M 10M SE +/- 39988.02, N = 3 SE +/- 12229.73, N = 3 SE +/- 15756.44, N = 3 8369541 8474504 8431039 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
NCNN Target: Vulkan GPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.10, N = 14 SE +/- 0.10, N = 3 16.22 16.32 16.12 MIN: 15.94 / MAX: 17.33 MIN: 15.89 / MAX: 27.31 MIN: 15.91 / MAX: 19.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
CLOMP Static OMP Speedup OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup Core i9 7980XE 2 3 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 24.4 24.7 24.5 1. (CC) gcc options: -fopenmp -O3 -lm
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: 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: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: vgg16 Core i9 7980XE 2 3 8 16 24 32 40 SE +/- 0.37, N = 3 SE +/- 0.18, N = 14 SE +/- 0.38, N = 3 33.35 33.12 32.97 MIN: 32.45 / MAX: 43.2 MIN: 32.23 / MAX: 35.3 MIN: 32.47 / MAX: 44.23 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 Core i9 7980XE 2 3 30 60 90 120 150 SE +/- 1.44, N = 3 SE +/- 0.43, 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
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 2 3 6 12 18 24 30 SE +/- 0.12, N = 4 SE +/- 0.02, N = 4 SE +/- 0.10, N = 4 27.07 27.36 27.27 1. (CC) gcc options: -O2 -std=c99
dav1d Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Summer Nature 1080p Core i9 7980XE 2 3 70 140 210 280 350 SE +/- 0.30, N = 3 SE +/- 0.37, N = 3 SE +/- 2.81, N = 3 334.55 335.83 332.24 MIN: 230.08 / MAX: 362.33 MIN: 228.86 / MAX: 364.14 MIN: 190.39 / MAX: 362.74 1. (CC) gcc options: -pthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m Core i9 7980XE 2 3 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 25.10 25.37 25.18 MIN: 24.75 / MAX: 26.1 MIN: 24.92 / MAX: 26.38 MIN: 24.74 / MAX: 26.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 Core i9 7980XE 2 3 50 100 150 200 250 SE +/- 1.11, N = 3 SE +/- 2.03, N = 3 SE +/- 0.20, N = 3 240.76 242.38 239.88 MIN: 112.26 / MAX: 423.37 MIN: 110.33 / MAX: 414.59 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
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: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mobilenet Core i9 7980XE 2 3 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.13, N = 14 SE +/- 0.02, N = 3 17.05 17.11 16.94 MIN: 16.85 / MAX: 18.11 MIN: 16.35 / MAX: 27.82 MIN: 16.8 / MAX: 17.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i9 7980XE 2 3 80 160 240 320 400 SE +/- 0.13, N = 3 SE +/- 0.85, N = 3 SE +/- 1.56, N = 3 361.61 364.84 361.22
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 10.59 10.69 10.59 1. Nodejs
v12.18.2
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: 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
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Core i9 7980XE 2 3 2K 4K 6K 8K 10K SE +/- 37.42, N = 3 SE +/- 1.35, N = 3 SE +/- 21.46, N = 3 8589.9 8520.5 8594.8 1. (CC) gcc options: -O3
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i9 7980XE 2 3 1.1115 2.223 3.3345 4.446 5.5575 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 4.91 4.90 4.94 MIN: 4.63 / MAX: 5.66 MIN: 4.68 / MAX: 15.56 MIN: 4.61 / MAX: 6.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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
LZ4 Compression Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed Core i9 7980XE 2 3 1500 3000 4500 6000 7500 SE +/- 23.84, N = 3 SE +/- 1.04, N = 3 SE +/- 2.41, N = 3 7054.24 7106.49 7096.61 1. (CC) gcc options: -O3
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Core i9 7980XE 2 3 40 80 120 160 200 SE +/- 0.51, N = 3 SE +/- 0.55, N = 3 SE +/- 0.92, N = 3 160.98 161.60 160.46 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
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 Core i9 7980XE 2 3 0.4023 0.8046 1.2069 1.6092 2.0115 SE +/- 0.00063, N = 3 SE +/- 0.00370, N = 3 SE +/- 0.00248, N = 3 1.78784 1.78621 1.77652 MIN: 1.73 MIN: 1.75 MIN: 1.72 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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
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 Core i9 7980XE 2 3 0.2355 0.471 0.7065 0.942 1.1775 SE +/- 0.00393, N = 3 SE +/- 0.00068, N = 3 SE +/- 0.00041, N = 3 1.04649 1.04063 1.04024 MIN: 1.03 MIN: 1.02 MIN: 1.02 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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
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: 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
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 Core i9 7980XE 2 3 0.5847 1.1694 1.7541 2.3388 2.9235 SE +/- 0.01244, N = 3 SE +/- 0.00401, N = 3 SE +/- 0.00527, N = 3 2.59872 2.59277 2.58740 MIN: 2.56 MIN: 2.57 MIN: 2.56 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed Core i9 7980XE 2 3 2K 4K 6K 8K 10K SE +/- 35.36, N = 3 SE +/- 18.32, N = 3 SE +/- 18.98, N = 3 8593.8 8567.5 8604.9 1. (CC) gcc options: -O3
Timed Eigen Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile Core i9 7980XE 2 3 20 40 60 80 100 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 77.57 77.89 77.87
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i9 7980XE 2 3 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 7.474 7.500 7.477
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 10 Core i9 7980XE 2 3 0.6019 1.2038 1.8057 2.4076 3.0095 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 2.670 2.666 2.675
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
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 Core i9 7980XE 2 3 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 1.264 1.267
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Core i9 7980XE 2 3 0.3796 0.7592 1.1388 1.5184 1.898 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 1.682 1.687 1.683 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 1 Core i9 7980XE 2 3 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 0.348 0.349
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile Core i9 7980XE 2 3 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 100.10 100.37 100.31
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i9 7980XE 2 3 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 3.127 3.129
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i9 7980XE 2 3 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 35.79 35.85 35.83
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 2 3 2 4 6 8 10 SE +/- 0.00694, N = 3 SE +/- 0.00731, N = 3 SE +/- 0.00143, N = 3 8.02349 8.03599 8.03544 MIN: 7.84 MIN: 7.76 MIN: 7.85 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 0.8.1 Video Input: Chimera 1080p 10-bit Core i9 7980XE 2 3 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.08, N = 3 64.14 64.20 64.16 MIN: 46.71 / MAX: 131.2 MIN: 46.74 / MAX: 133.97 MIN: 46.62 / MAX: 131.11 1. (CC) gcc options: -pthread
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 Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 11.02 11.01 11.01 MIN: 10.96 MIN: 10.97 MIN: 10.95 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
LZ4 Compression Compression Level: 9 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed Core i9 7980XE 2 3 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 53.62 53.58 53.62 1. (CC) gcc options: -O3
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 Core i9 7980XE 2 3 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: 10.13 MIN: 10.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode Core i9 7980XE 2 3 3 6 9 12 15 SE +/- 0.03, N = 5 SE +/- 0.01, N = 5 SE +/- 0.02, N = 5 10.26 10.26 10.25 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
LZ4 Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed Core i9 7980XE 2 3 12 24 36 48 60 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 55.04 55.02 55.05 1. (CC) gcc options: -O3
VKMark Resolution: 1920 x 1080 OpenBenchmarking.org VKMark Score, More Is Better VKMark 2020-05-21 Resolution: 1920 x 1080 Core i9 7980XE 2 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
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 Core i9 7980XE 2 3 70 140 210 280 350 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 327.97 327.92 328.02 MIN: 216.87 / MAX: 385.21 MIN: 180.77 / MAX: 382.41 MIN: 163.32 / MAX: 396.04 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
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
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 Core i9 7980XE 2 3 0.2176 0.4352 0.6528 0.8704 1.088 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.967 0.967 0.967
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID Core i9 7980XE 2 3 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
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets Core i9 7980XE 2 3 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: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom Core i9 7980XE 2 3 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: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya Core i9 7980XE 2 3 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
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: blazeface Core i9 7980XE 2 3 0.6143 1.2286 1.8429 2.4572 3.0715 SE +/- 0.06, N = 3 SE +/- 0.04, N = 14 SE +/- 0.06, N = 3 2.64 2.73 2.65 MIN: 2.54 / MAX: 2.8 MIN: 2.53 / MAX: 3.62 MIN: 2.54 / MAX: 2.8 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 Core i9 7980XE 2 3 0.6188 1.2376 1.8564 2.4752 3.094 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.75 2.60 2.60 MIN: 2.55 / MAX: 3 MIN: 2.55 / MAX: 2.69 MIN: 2.54 / MAX: 2.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 Core i9 7980XE 2 3 1.0015 2.003 3.0045 4.006 5.0075 SE +/- 0.062, N = 15 SE +/- 0.037, N = 3 SE +/- 0.183, N = 3 4.441 4.451 4.311 MIN: 3.65 / MAX: 5.13 MIN: 4.12 / MAX: 4.73 MIN: 3.67 / MAX: 4.7 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 Core i9 7980XE 2 3 9 18 27 36 45 SE +/- 0.81, N = 15 SE +/- 4.55, N = 3 SE +/- 0.05, N = 3 36.33 33.18 37.56 MIN: 28.39 / MAX: 38.24 MIN: 23.9 / MAX: 38.01 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
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i9 7980XE 2 3 11M 22M 33M 44M 55M SE +/- 133586.54, N = 3 SE +/- 2419928.92, N = 12 SE +/- 273651.28, N = 3 49912833 52858903 51115984
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
Phoronix Test Suite v10.8.4