Ryzen 7 1700 + RX 480 AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012315-HA-RYZEN717043&sor&grr .
Ryzen 7 1700 + RX 480 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Default Kernel Linux 5.10.4 Linux 5.11-rc1 AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads) MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) AMD 17h 16GB 120GB Samsung SSD 840 AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz) AMD Ellesmere HDMI Audio VA2431 Realtek RTL8111/8168/8411 Ubuntu 20.10 5.8.0-33-generic (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 amdgpu 19.1.0 4.6 Mesa 20.2.1 (LLVM 11.0.0) 1.2.131 GCC 10.2.0 ext4 1920x1080 5.10.4-051004-generic (x86_64) 5.11.0-rc1-phx (x86_64) 20201228 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 Disk Details - MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096 Processor Details - Default Kernel: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8001137 - Linux 5.10.4: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001137 - Linux 5.11-rc1: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001137 Graphics Details - GLAMOR Java Details - OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10) Python Details - Python 3.8.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 7 1700 + RX 480 build-llvm: Time To Compile basis: UASTC Level 2 + RDO Post-Processing polyhedron: tfft2 vkfft: ai-benchmark: Device AI Score ai-benchmark: Device Training Score ai-benchmark: Device Inference Score polyhedron: gas_dyn2 appleseed: Emily gromacs: Water Benchmark blender: Fishy Cat - CPU-Only numpy: astcenc: Exhaustive wireguard: polyhedron: mp_prop_design polyhedron: fatigue2 blender: BMW27 - CPU-Only build2: Time To Compile ncnn: CPU - regnety_400m ncnn: CPU - squeezenet_ssd ncnn: CPU - yolov4-tiny ncnn: CPU - resnet50 ncnn: CPU - alexnet ncnn: CPU - resnet18 ncnn: CPU - vgg16 ncnn: CPU - googlenet ncnn: CPU - blazeface ncnn: CPU - efficientnet-b0 ncnn: CPU - mnasnet ncnn: CPU - shufflenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU - mobilenet deepspeech: CPU asmfish: 1024 Hash Memory, 26 Depth polyhedron: test_fpu2 appleseed: Disney Material polyhedron: rnflow polyhedron: channel2 appleseed: Material Tester mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 clomp: Static OMP Speedup espeak: Text-To-Speech Synthesis polyhedron: capacita tensorflow-lite: Inception V4 tensorflow-lite: Inception ResNet V2 hint: FLOAT unpack-firefox: firefox-84.0.source.tar.xz hmmer: Pfam Database Search vkmark: 1920 x 1080 vkmark: 1280 x 1024 build-linux-kernel: Time To Compile avifenc: 0 byte: Dhrystone 2 pyperformance: python_startup pyperformance: raytrace compress-zstd: 19 node-web-tooling: build-eigen: Time To Compile glmark2: 1920 x 1080 glmark2: 1280 x 1024 ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU - mobilenet onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU embree: Pathtracer ISPC - Asian Dragon Obj polyhedron: protein embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Crown polyhedron: induct2 onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU build-ffmpeg: Time To Compile pyperformance: 2to3 embree: Pathtracer - Crown basis: UASTC Level 3 compress-lz4: 9 - Decompression Speed compress-lz4: 9 - Compression Speed sqlite-speedtest: Timed Time - Size 1,000 rawtherapee: Total Benchmark Time compress-lz4: 3 - Decompression Speed compress-lz4: 3 - Compression Speed rav1e: 5 onednn: Deconvolution Batch shapes_1d - f32 - CPU rav1e: 1 avifenc: 2 embree: Pathtracer ISPC - Asian Dragon polyhedron: doduc stockfish: Total Time embree: Pathtracer - Asian Dragon pyperformance: go basis: ETC1S indigobench: CPU - Supercar indigobench: CPU - Bedroom tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Quant tensorflow-lite: SqueezeNet tensorflow-lite: Mobilenet Float simdjson: LargeRand polyhedron: mdbx rav1e: 6 simdjson: PartialTweets simdjson: DistinctUserID simdjson: Kostya webp: Quality 100, Lossless, Highest Compression compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 pyperformance: regex_compile basis: UASTC Level 2 astcenc: Thorough pyperformance: pathlib phpbench: PHP Benchmark Suite rav1e: 10 polyhedron: aermod cryptsetup: Twofish-XTS 512b Decryption cryptsetup: Twofish-XTS 512b Encryption cryptsetup: Serpent-XTS 512b Decryption cryptsetup: Serpent-XTS 512b Encryption cryptsetup: AES-XTS 512b Decryption cryptsetup: AES-XTS 512b Encryption cryptsetup: Twofish-XTS 256b Decryption cryptsetup: Twofish-XTS 256b Encryption cryptsetup: Serpent-XTS 256b Decryption cryptsetup: Serpent-XTS 256b Encryption cryptsetup: AES-XTS 256b Decryption cryptsetup: AES-XTS 256b Encryption cryptsetup: PBKDF2-whirlpool cryptsetup: PBKDF2-sha512 compress-lz4: 1 - Decompression Speed compress-lz4: 1 - Compression Speed polyhedron: ac pyperformance: django_template rsvg: SVG Files To PNG compress-zstd: 3 pyperformance: json_loads onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU pyperformance: chaos pyperformance: nbody pyperformance: float pyperformance: crypto_pyaes coremark: CoreMark Size 666 - Iterations Per Second polyhedron: air encode-ape: WAV To APE redis: SET redis: LPUSH encode-wavpack: WAV To WavPack redis: GET sunflow: Global Illumination + Image Synthesis polyhedron: linpk webp: Quality 100, Lossless rnnoise: unpack-linux: linux-4.15.tar.xz tnn: CPU - MobileNet v2 encode-opus: WAV To Opus Encode pyperformance: pickle_pure_python redis: LPOP tnn: CPU - SqueezeNet v1.1 gimp: unsharp-mask encode-flac: WAV To FLAC gimp: auto-levels gimp: rotate onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU darktable: Boat - CPU-only mafft: Multiple Sequence Alignment - LSU RNA onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU astcenc: Fast gimp: resize webp: Quality 100, Highest Compression astcenc: Medium lammps: Rhodopsin Protein redis: SADD basis: UASTC Level 0 encode-mp3: WAV To MP3 onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - f32 - CPU darktable: Masskrug - CPU-only yquake2: Software CPU - 1920 x 1080 darktable: Server Room - CPU-only avifenc: 8 onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU avifenc: 10 onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU webp: Quality 100 ffte: N=256, 3D Complex FFT Routine webp: Default yquake2: OpenGL 1.x - 1920 x 1080 darktable: Server Rack - CPU-only yquake2: OpenGL 3.x - 1920 x 1080 Default Kernel Linux 5.10.4 Linux 5.11-rc1 1057.630 867.808 25.09 10274 1248 667 581 61.73 539.955062 0.524 329.39 246.26 303.53 300.19 74.87 63.32 237.53 232.986 33.49 37.15 49.92 58.38 16.96 25.46 85.70 31.77 3.61 15.55 10.85 11.59 10.09 11.91 38.47 94.00238 19306833 37.1 322.771845 16.77 59.51 287.576718 77.143 13.624 6.965 71.661 12.690 7.8 38.908 16.18 3649700 3299807 282568835.29886 26.471 151.893 4664 6184 131.315 131.138 33310090.4 12.2 714 22.5 7.24 117.955 4432 6038 32.86 37.31 50.06 59.31 17.09 26.05 85.39 31.60 3.85 15.23 10.56 11.00 9.59 11.62 38.45 9002.53 9027.63 9028.50 14.7823 7.2063 17.02 7.8014 6.7689 25.16 4737.79 4742.11 4749.06 85.708 461 7.3312 82.388 7828.5 36.03 83.928 78.652 7835.5 36.94 0.765 11.3777 0.256 76.654 7.9759 9.34 13361457 8.3970 353 64.563 2.828 1.335 223426 177091 251499 169941 0.33 5.88 1.022 0.45 0.46 0.36 50.890 47.565 233 43.977 36.95 25.0 475137 2.349 7.58 334.4 333.3 321.6 326.1 1359.7 1356.0 331.7 333.2 320.6 325.1 1531.1 1521.6 550533 1300115 8129.2 7192.29 7.74 80.9 34.317 2849.0 37.4 6.60753 160 170 164 154 267555.232946 1.78 17.208 1363650.75 1065654.10 16.208 1863679.11 1.581 4.81 24.464 24.180 7.403 324.268 9.542 697 2014169.29 308.495 19.016 11.594 16.032 15.407 9.34927 7.03197 13.747 14.564 5.33146 7.72 10.750 9.478 6.11 4.311 1540737.67 10.451 10.370 2.94203 11.5673 6.745 85.4 5.210 7.048 23.8283 6.622 22.7874 13.3370 17.0012 2.831 29782.882133956 1.774 631.8 0.218 944.3 1044.459 855.355 29.02 9972 1277 689 588 59.15 535.01413 0.539 325.24 262.15 300.62 308.467 68.88 58.15 232.46 231.005 29.37 31.80 41.80 46.37 15.78 20.97 74.43 25.83 3.38 13.24 9.22 9.82 8.50 10.09 32.21 109.72930 19840743 34.24 316.758583 15.65 58.21 291.466605 69.866 12.956 6.402 67.179 11.659 9.3 40.272 16.24 3512430 3174873 305670769.36287 25.744 128.726 4732 6350 129.825 126.027 35909522.3 20.7 661 22.9 7.67 109.471 4722 6542 29.49 31.61 42.46 47.21 15.81 20.92 74.53 26.28 3.46 13.28 9.06 9.71 8.45 10.14 32.79 8588.64 8564.54 8575.95 14.3114 7.2702 15.65 7.8722 6.7934 23.15 4482.27 4497.06 4488.10 83.806 444 7.3497 81.475 7895.5 39.19 77.517 77.082 7899.3 40.01 0.779 12.6415 0.261 74.657 8.1739 8.61 13559816 8.5188 336 60.998 2.867 1.354 208952 170472 244504 163162 0.35 5.42 1.020 0.45 0.46 0.39 44.854 46.205 215 43.092 36.58 22.8 517024 2.316 7.09 368.2 369.9 356.7 359.3 1488.7 1485.4 367.1 364.8 354.9 356.4 1668.2 1658.9 603098 1403727 8560.1 7525.63 7.1 75.9 35.652 2838.6 34.3 5.78248 151 159 151 143 270279.686207 1.66 15.839 1243969.70 1049901.52 14.870 1611434.08 1.537 4.73 22.496 22.113 7.131 305.642 8.721 651 1075736.66 282.839 19.193 10.710 16.903 15.284 9.80460 6.85975 13.322 14.599 4.24151 7.35 11.832 8.872 6.05 4.720 1429878.04 9.860 9.490 2.87865 8.81062 6.392 88.2 4.940 6.700 20.9864 6.312 21.0535 13.2398 17.3787 2.575 31684.744460084 1.639 641.4 0.233 960.5 1050.445 857.228 29.22 9967 1269 685 584 59.08 536.842668 0.535 326.50 262.75 305.64 308.380 68.93 58.15 236.57 231.535 29.60 31.73 43.19 46.40 15.87 21.96 74.00 26.29 3.47 13.51 9.35 9.86 8.60 10.31 32.63 108.33302 19661267 34.31 311.487833 15.55 58.21 289.579019 69.898 12.939 6.429 66.976 11.596 9.1 38.419 16.2 3947703 3580783 305438957.41609 25.986 127.071 4827 6426 129.677 124.542 36408424.2 20.7 657 23.0 7.62 107.161 4755 6587 29.35 31.76 41.05 47.65 15.86 19.90 74.67 25.27 3.30 13.09 9.05 10.04 8.69 9.81 32.20 8583.12 8540.48 8545.33 14.4510 7.2554 15.65 7.8824 6.8458 23.13 4468.08 4486.34 4470.71 83.883 439 7.4224 81.620 7920.9 39.36 78.387 78.290 7906.8 40.03 0.774 12.4213 0.259 75.056 8.1022 8.59 13897759 8.3775 328 60.951 2.843 1.359 239203 189637 259645 180798 0.35 5.39 1.028 0.45 0.46 0.39 45.159 46.085 215 43.277 37.2 22.7 513740 2.347 7.01 369.3 370.6 355.3 358 1485.4 1488.7 369.8 366.2 357.3 356.5 1678.3 1663.4 603787 1404973 8592.3 7572.23 7.1 75.5 34.998 2872.0 34.2 5.87713 147 157 151 142 271886.254101 1.64 15.819 1297244.29 1053853.02 14.853 1727854.75 1.582 4.72 22.156 22.092 7.160 310.422 8.827 646 1114626.25 282.815 19.452 10.930 16.981 15.101 9.49354 6.92207 13.343 15.251 4.16855 7.42 11.833 8.756 6.14 4.762 1465965.54 9.717 9.496 2.70498 8.61372 6.397 88.6 4.959 6.639 20.8695 6.284 21.0906 13.2091 17.4095 2.568 31043.725914144 1.632 625.3 0.234 947.3 OpenBenchmarking.org
Timed LLVM Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile Linux 5.10.4 Linux 5.11-rc1 Default Kernel 200 400 600 800 1000 SE +/- 0.83, N = 3 SE +/- 3.21, N = 3 SE +/- 0.68, N = 3 1044.46 1050.45 1057.63
Basis Universal Settings: UASTC Level 2 + RDO Post-Processing OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Linux 5.10.4 Linux 5.11-rc1 Default Kernel 200 400 600 800 1000 SE +/- 0.82, N = 3 SE +/- 1.15, N = 3 SE +/- 0.27, N = 3 855.36 857.23 867.81 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Polyhedron Fortran Benchmarks Benchmark: tfft2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: tfft2 Default Kernel Linux 5.10.4 Linux 5.11-rc1 7 14 21 28 35 25.09 29.02 29.22
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.1.1 Default Kernel Linux 5.10.4 Linux 5.11-rc1 2K 4K 6K 8K 10K SE +/- 23.03, N = 3 SE +/- 67.59, N = 3 SE +/- 46.59, N = 3 10274 9972 9967 1. (CXX) g++ options: -O3 -pthread
AI Benchmark Alpha Device AI Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device AI Score Linux 5.10.4 Linux 5.11-rc1 Default Kernel 300 600 900 1200 1500 1277 1269 1248
AI Benchmark Alpha Device Training Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score Linux 5.10.4 Linux 5.11-rc1 Default Kernel 150 300 450 600 750 689 685 667
AI Benchmark Alpha Device Inference Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score Linux 5.10.4 Linux 5.11-rc1 Default Kernel 130 260 390 520 650 588 584 581
Polyhedron Fortran Benchmarks Benchmark: gas_dyn2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: gas_dyn2 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 14 28 42 56 70 59.08 59.15 61.73
Appleseed Scene: Emily OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily Linux 5.10.4 Linux 5.11-rc1 Default Kernel 120 240 360 480 600 535.01 536.84 539.96
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.10.4 Linux 5.11-rc1 Default Kernel 0.1213 0.2426 0.3639 0.4852 0.6065 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 0.539 0.535 0.524 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Linux 5.10.4 Linux 5.11-rc1 Default Kernel 70 140 210 280 350 SE +/- 0.38, N = 3 SE +/- 0.76, N = 3 SE +/- 0.28, N = 3 325.24 326.50 329.39
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark Linux 5.11-rc1 Linux 5.10.4 Default Kernel 60 120 180 240 300 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 2.11, N = 3 262.75 262.15 246.26
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Linux 5.10.4 Default Kernel Linux 5.11-rc1 70 140 210 280 350 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 300.62 303.53 305.64 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
WireGuard + Linux Networking Stack Stress Test OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test Default Kernel Linux 5.11-rc1 Linux 5.10.4 70 140 210 280 350 SE +/- 1.15, N = 3 SE +/- 0.88, N = 3 SE +/- 3.52, N = 3 300.19 308.38 308.47
Polyhedron Fortran Benchmarks Benchmark: mp_prop_design OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: mp_prop_design Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 68.88 68.93 74.87
Polyhedron Fortran Benchmarks Benchmark: fatigue2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: fatigue2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 14 28 42 56 70 58.15 58.15 63.32
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Linux 5.10.4 Linux 5.11-rc1 Default Kernel 50 100 150 200 250 SE +/- 0.81, N = 3 SE +/- 1.16, N = 3 SE +/- 2.78, N = 4 232.46 236.57 237.53
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile Linux 5.10.4 Linux 5.11-rc1 Default Kernel 50 100 150 200 250 SE +/- 1.49, N = 3 SE +/- 0.84, N = 3 SE +/- 1.02, N = 3 231.01 231.54 232.99
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m Linux 5.10.4 Linux 5.11-rc1 Default Kernel 8 16 24 32 40 SE +/- 0.09, N = 15 SE +/- 0.06, N = 3 SE +/- 0.53, N = 3 29.37 29.60 33.49 MIN: 28.47 / MAX: 73.28 MIN: 29.39 / MAX: 40.11 MIN: 30.17 / MAX: 68.43 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.14, N = 15 SE +/- 0.35, N = 3 31.73 31.80 37.15 MIN: 30.96 / MAX: 37.38 MIN: 30.81 / MAX: 42.83 MIN: 32.74 / MAX: 88.45 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 11 22 33 44 55 SE +/- 0.49, N = 15 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 41.80 43.19 49.92 MIN: 36.06 / MAX: 63.79 MIN: 41.97 / MAX: 48.03 MIN: 41.04 / MAX: 67.32 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 13 26 39 52 65 SE +/- 0.32, N = 15 SE +/- 0.09, N = 3 SE +/- 0.59, N = 3 46.37 46.40 58.38 MIN: 45.13 / MAX: 83.86 MIN: 46.13 / MAX: 46.99 MIN: 48.11 / MAX: 109.51 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 SE +/- 0.01, N = 15 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 15.78 15.87 16.96 MIN: 15.63 / MAX: 27.03 MIN: 15.7 / MAX: 18.04 MIN: 15.86 / MAX: 33.88 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 6 12 18 24 30 SE +/- 0.28, N = 15 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 20.97 21.96 25.46 MIN: 18.91 / MAX: 67.27 MIN: 19.15 / MAX: 54.43 MIN: 19.81 / MAX: 59.82 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.16, N = 15 SE +/- 0.20, N = 3 74.00 74.43 85.70 MIN: 73.3 / MAX: 82.28 MIN: 73.09 / MAX: 107.82 MIN: 76.58 / MAX: 109.13 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 7 14 21 28 35 SE +/- 0.32, N = 15 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 25.83 26.29 31.77 MIN: 22.76 / MAX: 58.24 MIN: 23.04 / MAX: 29.98 MIN: 23.25 / MAX: 69.93 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 0.8123 1.6246 2.4369 3.2492 4.0615 SE +/- 0.03, N = 15 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 3.38 3.47 3.61 MIN: 3.16 / MAX: 4.51 MIN: 3.37 / MAX: 4.01 MIN: 3.17 / MAX: 16.8 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 SE +/- 0.11, N = 15 SE +/- 0.29, N = 3 SE +/- 0.25, N = 3 13.24 13.51 15.55 MIN: 12.68 / MAX: 56.97 MIN: 13.14 / MAX: 14.47 MIN: 12.82 / MAX: 44.91 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.07, N = 15 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 9.22 9.35 10.85 MIN: 8.76 / MAX: 13.65 MIN: 9.12 / MAX: 10.89 MIN: 8.7 / MAX: 50.23 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.03, N = 15 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 9.82 9.86 11.59 MIN: 9.61 / MAX: 11.52 MIN: 9.73 / MAX: 10.13 MIN: 9.62 / MAX: 57.85 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.03, N = 15 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 8.50 8.60 10.09 MIN: 8.19 / MAX: 20.56 MIN: 8.28 / MAX: 22.71 MIN: 8.08 / MAX: 57.72 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.11, N = 15 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 10.09 10.31 11.91 MIN: 9.47 / MAX: 59.9 MIN: 9.57 / MAX: 22.62 MIN: 9.52 / MAX: 44.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet Linux 5.10.4 Linux 5.11-rc1 Default Kernel 9 18 27 36 45 SE +/- 0.29, N = 15 SE +/- 0.27, N = 3 SE +/- 0.44, N = 3 32.21 32.63 38.47 MIN: 30.06 / MAX: 44.1 MIN: 31.52 / MAX: 114.19 MIN: 33.17 / MAX: 75.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
DeepSpeech Acceleration: CPU OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Default Kernel Linux 5.11-rc1 Linux 5.10.4 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.94, N = 8 SE +/- 0.78, N = 15 94.00 108.33 109.73
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4M 8M 12M 16M 20M SE +/- 76230.74, N = 3 SE +/- 97740.42, N = 3 SE +/- 237774.54, N = 3 19840743 19661267 19306833
Polyhedron Fortran Benchmarks Benchmark: test_fpu2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: test_fpu2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 9 18 27 36 45 34.24 34.31 37.10
Appleseed Scene: Disney Material OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Linux 5.11-rc1 Linux 5.10.4 Default Kernel 70 140 210 280 350 311.49 316.76 322.77
Polyhedron Fortran Benchmarks Benchmark: rnflow OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: rnflow Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 15.55 15.65 16.77
Polyhedron Fortran Benchmarks Benchmark: channel2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: channel2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 13 26 39 52 65 58.21 58.21 59.51
Appleseed Scene: Material Tester OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Default Kernel Linux 5.11-rc1 Linux 5.10.4 60 120 180 240 300 287.58 289.58 291.47
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.35, N = 3 SE +/- 0.07, N = 3 SE +/- 0.46, N = 3 69.87 69.90 77.14 MIN: 68.99 / MAX: 81.83 MIN: 69.61 / MAX: 94.45 MIN: 69.93 / MAX: 103.83 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 2020-09-17 Model: mobilenet-v1-1.0 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 12.94 12.96 13.62 MIN: 12.76 / MAX: 24.47 MIN: 12.85 / MAX: 22.3 MIN: 12.87 / MAX: 26.35 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 2020-09-17 Model: MobileNetV2_224 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.054, N = 3 SE +/- 0.017, N = 3 SE +/- 0.024, N = 3 6.402 6.429 6.965 MIN: 6.26 / MAX: 15.65 MIN: 6.35 / MAX: 8.72 MIN: 6.27 / MAX: 22.38 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 2020-09-17 Model: resnet-v2-50 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 16 32 48 64 80 SE +/- 0.14, N = 3 SE +/- 0.30, N = 3 SE +/- 0.91, N = 3 66.98 67.18 71.66 MIN: 66.5 / MAX: 78.24 MIN: 66.68 / MAX: 78.44 MIN: 63.38 / MAX: 108.99 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: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 11.60 11.66 12.69 MIN: 11.41 / MAX: 23.49 MIN: 11.43 / MAX: 23.12 MIN: 11.22 / MAX: 25.7 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
CLOMP Static OMP Speedup OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.11, N = 15 SE +/- 0.12, N = 3 SE +/- 0.09, N = 4 9.3 9.1 7.8 1. (CC) gcc options: -fopenmp -O3 -lm
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.11-rc1 Default Kernel Linux 5.10.4 9 18 27 36 45 SE +/- 0.38, N = 4 SE +/- 0.24, N = 16 SE +/- 0.54, N = 20 38.42 38.91 40.27 1. (CC) gcc options: -O2 -std=c99
Polyhedron Fortran Benchmarks Benchmark: capacita OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: capacita Default Kernel Linux 5.11-rc1 Linux 5.10.4 4 8 12 16 20 16.18 16.20 16.24
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Linux 5.10.4 Default Kernel Linux 5.11-rc1 800K 1600K 2400K 3200K 4000K SE +/- 2619.34, N = 3 SE +/- 2124.36, N = 3 SE +/- 912.82, N = 3 3512430 3649700 3947703
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.10.4 Default Kernel Linux 5.11-rc1 800K 1600K 2400K 3200K 4000K SE +/- 713.33, N = 3 SE +/- 1161.41, N = 3 SE +/- 2970.22, N = 3 3174873 3299807 3580783
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Linux 5.10.4 Linux 5.11-rc1 Default Kernel 70M 140M 210M 280M 350M SE +/- 80446.54, N = 3 SE +/- 262122.57, N = 3 SE +/- 1313862.73, N = 3 305670769.36 305438957.42 282568835.30 1. (CC) gcc options: -O3 -march=native -lm
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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 6 12 18 24 30 SE +/- 0.14, N = 20 SE +/- 0.16, N = 20 SE +/- 0.22, N = 8 25.74 25.99 26.47
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.11-rc1 Linux 5.10.4 Default Kernel 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.27, N = 3 127.07 128.73 151.89 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
VKMark Resolution: 1920 x 1080 OpenBenchmarking.org VKMark Score, More Is Better VKMark 2020-05-21 Resolution: 1920 x 1080 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1000 2000 3000 4000 5000 SE +/- 3.61, N = 3 SE +/- 3.71, N = 3 SE +/- 4.93, N = 3 4827 4732 4664 1. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
VKMark Resolution: 1280 x 1024 OpenBenchmarking.org VKMark Score, More Is Better VKMark 2020-05-21 Resolution: 1280 x 1024 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1400 2800 4200 5600 7000 SE +/- 8.41, N = 3 SE +/- 13.48, N = 3 SE +/- 3.28, N = 3 6426 6350 6184 1. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
Timed Linux Kernel Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Linux 5.11-rc1 Linux 5.10.4 Default Kernel 30 60 90 120 150 SE +/- 0.86, N = 3 SE +/- 0.92, N = 3 SE +/- 0.91, N = 3 129.68 129.83 131.32
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 30 60 90 120 150 SE +/- 0.15, N = 3 SE +/- 0.38, N = 3 SE +/- 1.72, N = 3 124.54 126.03 131.14 1. (CXX) g++ options: -O3 -fPIC
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 8M 16M 24M 32M 40M SE +/- 77245.63, N = 3 SE +/- 207274.15, N = 3 SE +/- 91702.31, N = 3 36408424.2 35909522.3 33310090.4
PyPerformance Benchmark: python_startup OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup Default Kernel Linux 5.10.4 Linux 5.11-rc1 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 12.2 20.7 20.7
PyPerformance Benchmark: raytrace OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace Linux 5.11-rc1 Linux 5.10.4 Default Kernel 150 300 450 600 750 SE +/- 1.73, N = 3 SE +/- 1.20, N = 3 657 661 714
Zstd Compression Compression Level: 19 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 23.0 22.9 22.5 1. (CC) gcc options: -O3 -pthread -lz
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 7.67 7.62 7.24 1. Nodejs
v12.18.2
Timed Eigen Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile Linux 5.11-rc1 Linux 5.10.4 Default Kernel 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.40, N = 3 107.16 109.47 117.96
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1000 2000 3000 4000 5000 4755 4722 4432
GLmark2 Resolution: 1280 x 1024 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1280 x 1024 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1400 2800 4200 5600 7000 6587 6542 6038
NCNN Target: Vulkan GPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m Linux 5.11-rc1 Linux 5.10.4 Default Kernel 8 16 24 32 40 SE +/- 0.32, N = 3 SE +/- 0.25, N = 3 SE +/- 0.30, N = 3 29.35 29.49 32.86 MIN: 28.95 / MAX: 100.31 MIN: 28.88 / MAX: 31.63 MIN: 30.37 / MAX: 71.09 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 31.61 31.76 37.31 MIN: 30.89 / MAX: 38.84 MIN: 30.84 / MAX: 39.08 MIN: 32.73 / MAX: 94.67 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 11 22 33 44 55 SE +/- 1.73, N = 3 SE +/- 0.51, N = 3 SE +/- 0.25, N = 3 41.05 42.46 50.06 MIN: 36.21 / MAX: 43.53 MIN: 36.31 / MAX: 45.38 MIN: 40.36 / MAX: 77.16 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 13 26 39 52 65 SE +/- 1.01, N = 3 SE +/- 1.19, N = 3 SE +/- 0.58, N = 3 47.21 47.65 59.31 MIN: 45.3 / MAX: 81.34 MIN: 46.22 / MAX: 82.46 MIN: 48.12 / MAX: 109.05 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 15.81 15.86 17.09 MIN: 15.64 / MAX: 24.91 MIN: 15.71 / MAX: 16.75 MIN: 15.85 / MAX: 45.86 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.86, N = 3 SE +/- 0.83, N = 3 SE +/- 0.42, N = 3 19.90 20.92 26.05 MIN: 18.96 / MAX: 22.28 MIN: 19.02 / MAX: 53.8 MIN: 20.5 / MAX: 71.2 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.36, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 74.53 74.67 85.39 MIN: 73.33 / MAX: 84.41 MIN: 73.34 / MAX: 83.99 MIN: 76.96 / MAX: 108.88 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 7 14 21 28 35 SE +/- 0.76, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 25.27 26.28 31.60 MIN: 22.73 / MAX: 45.56 MIN: 25.18 / MAX: 37.2 MIN: 24.42 / MAX: 69.85 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.8663 1.7326 2.5989 3.4652 4.3315 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 3.30 3.46 3.85 MIN: 3.22 / MAX: 3.77 MIN: 3.33 / MAX: 7.35 MIN: 3.16 / MAX: 16.49 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 13.09 13.28 15.23 MIN: 12.94 / MAX: 14.95 MIN: 13.12 / MAX: 14.99 MIN: 12.91 / MAX: 49.97 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 9.05 9.06 10.56 MIN: 8.77 / MAX: 32.06 MIN: 8.8 / MAX: 9.55 MIN: 8.6 / MAX: 49.35 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.30, N = 3 9.71 10.04 11.00 MIN: 9.51 / MAX: 10.13 MIN: 9.81 / MAX: 10.2 MIN: 9.52 / MAX: 47.8 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 8.45 8.69 9.59 MIN: 8.09 / MAX: 10.09 MIN: 8.29 / MAX: 26.28 MIN: 8.1 / MAX: 72.56 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 9.81 10.14 11.62 MIN: 9.63 / MAX: 13.77 MIN: 9.38 / MAX: 12.94 MIN: 9.25 / MAX: 43.5 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 9 18 27 36 45 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 32.20 32.79 38.45 MIN: 30.63 / MAX: 39 MIN: 30.27 / MAX: 45.97 MIN: 33.4 / MAX: 77.43 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 10.93, N = 3 SE +/- 9.21, N = 3 SE +/- 4.57, N = 3 8583.12 8588.64 9002.53 MIN: 8546.55 MIN: 8557.28 MIN: 8960.78 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 17.59, N = 3 SE +/- 14.45, N = 3 SE +/- 9.60, N = 3 8540.48 8564.54 9027.63 MIN: 8490.77 MIN: 8529.89 MIN: 8975.45 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 17.36, N = 3 SE +/- 15.87, N = 3 SE +/- 23.24, N = 3 8545.33 8575.95 9028.50 MIN: 8489.41 MIN: 8526.04 MIN: 8965.57 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 SE +/- 0.30, N = 15 SE +/- 0.33, N = 15 SE +/- 0.41, N = 15 14.31 14.45 14.78 MIN: 13 MIN: 12.95 MIN: 12.9 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.0051, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0139, N = 3 7.2702 7.2554 7.2063 MIN: 7.24 / MAX: 7.35 MIN: 7.21 / MAX: 7.32 MIN: 7.15 / MAX: 7.3
Polyhedron Fortran Benchmarks Benchmark: protein OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 15.65 15.65 17.02
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 SE +/- 0.0090, N = 3 SE +/- 0.0234, N = 3 SE +/- 0.0127, N = 3 7.8824 7.8722 7.8014 MIN: 7.84 / MAX: 7.97 MIN: 7.8 / MAX: 7.98 MIN: 7.74 / MAX: 7.91
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 SE +/- 0.0114, N = 3 SE +/- 0.0390, N = 3 SE +/- 0.0323, N = 3 6.8458 6.7934 6.7689 MIN: 6.79 / MAX: 6.96 MIN: 6.68 / MAX: 6.95 MIN: 6.67 / MAX: 6.9
Polyhedron Fortran Benchmarks Benchmark: induct2 OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: induct2 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 23.13 23.15 25.16
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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1000 2000 3000 4000 5000 SE +/- 13.33, N = 3 SE +/- 5.62, N = 3 SE +/- 8.86, N = 3 4468.08 4482.27 4737.79 MIN: 4427.82 MIN: 4460.82 MIN: 4680.34 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1000 2000 3000 4000 5000 SE +/- 8.44, N = 3 SE +/- 7.62, N = 3 SE +/- 20.61, N = 3 4486.34 4497.06 4742.11 MIN: 4457.53 MIN: 4465.18 MIN: 4659.09 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1000 2000 3000 4000 5000 SE +/- 9.99, N = 3 SE +/- 5.53, N = 3 SE +/- 2.03, N = 3 4470.71 4488.10 4749.06 MIN: 4441.33 MIN: 4464.06 MIN: 4699.81 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 83.81 83.88 85.71
PyPerformance Benchmark: 2to3 OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 100 200 300 400 500 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 439 444 461
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 SE +/- 0.0326, N = 3 SE +/- 0.0471, N = 3 SE +/- 0.0587, N = 3 7.4224 7.3497 7.3312 MIN: 7.34 / MAX: 7.57 MIN: 7.23 / MAX: 7.53 MIN: 7.18 / MAX: 7.52
Basis Universal Settings: UASTC Level 3 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 81.48 81.62 82.39 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 13.60, N = 3 SE +/- 8.68, N = 3 SE +/- 8.31, N = 3 7920.9 7895.5 7828.5 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.41, N = 3 39.36 39.19 36.03 1. (CC) gcc options: -O3
SQLite Speedtest Timed Time - Size 1,000 OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.35, N = 3 SE +/- 0.66, N = 3 77.52 78.39 83.93 1. (CC) gcc options: -O2 -ldl -lz -lpthread
RawTherapee Total Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 77.08 78.29 78.65 1. RawTherapee, version 5.8, command line.
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 16.93, N = 3 SE +/- 14.26, N = 3 SE +/- 5.10, N = 3 7906.8 7899.3 7835.5 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 40.03 40.01 36.94 1. (CC) gcc options: -O3
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 0.1753 0.3506 0.5259 0.7012 0.8765 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.779 0.774 0.765
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 Default Kernel Linux 5.11-rc1 Linux 5.10.4 3 6 9 12 15 SE +/- 0.05, N = 3 SE +/- 0.16, N = 15 SE +/- 0.12, N = 15 11.38 12.42 12.64 MIN: 10.79 MIN: 11.07 MIN: 11.31 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 1 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 0.0587 0.1174 0.1761 0.2348 0.2935 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.261 0.259 0.256
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 20 40 60 80 100 SE +/- 0.50, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 74.66 75.06 76.65 1. (CXX) g++ options: -O3 -fPIC
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.0788, N = 3 SE +/- 0.0259, N = 3 SE +/- 0.0448, N = 3 8.1739 8.1022 7.9759 MIN: 8.02 / MAX: 8.44 MIN: 8.03 / MAX: 8.26 MIN: 7.86 / MAX: 8.15
Polyhedron Fortran Benchmarks Benchmark: doduc OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: doduc Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 8.59 8.61 9.34
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3M 6M 9M 12M 15M SE +/- 38144.94, N = 3 SE +/- 168497.64, N = 3 SE +/- 170465.83, N = 3 13897759 13559816 13361457 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Linux 5.10.4 Default Kernel Linux 5.11-rc1 2 4 6 8 10 SE +/- 0.0500, N = 3 SE +/- 0.0725, N = 3 SE +/- 0.0404, N = 3 8.5188 8.3970 8.3775 MIN: 8.4 / MAX: 8.7 MIN: 8.23 / MAX: 8.61 MIN: 8.3 / MAX: 8.55
PyPerformance Benchmark: go OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 0.33, N = 3 328 336 353
Basis Universal Settings: ETC1S OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S Linux 5.11-rc1 Linux 5.10.4 Default Kernel 14 28 42 56 70 SE +/- 0.22, N = 3 SE +/- 0.24, N = 3 SE +/- 0.35, N = 3 60.95 61.00 64.56 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Linux 5.10.4 Linux 5.11-rc1 Default Kernel 0.6451 1.2902 1.9353 2.5804 3.2255 SE +/- 0.003, N = 3 SE +/- 0.028, N = 3 SE +/- 0.004, N = 3 2.867 2.843 2.828
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.3058 0.6116 0.9174 1.2232 1.529 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 1.359 1.354 1.335
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Linux 5.10.4 Default Kernel Linux 5.11-rc1 50K 100K 150K 200K 250K SE +/- 207.90, N = 3 SE +/- 1532.37, N = 3 SE +/- 1205.42, N = 3 208952 223426 239203
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Linux 5.10.4 Default Kernel Linux 5.11-rc1 40K 80K 120K 160K 200K SE +/- 30.12, N = 3 SE +/- 75.51, N = 3 SE +/- 424.39, N = 3 170472 177091 189637
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Linux 5.10.4 Default Kernel Linux 5.11-rc1 60K 120K 180K 240K 300K SE +/- 290.99, N = 3 SE +/- 272.99, N = 3 SE +/- 354.62, N = 3 244504 251499 259645
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Linux 5.10.4 Default Kernel Linux 5.11-rc1 40K 80K 120K 160K 200K SE +/- 89.09, N = 3 SE +/- 82.73, N = 3 SE +/- 51.97, N = 3 163162 169941 180798
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.35 0.35 0.33 1. (CXX) g++ options: -O3 -pthread
Polyhedron Fortran Benchmarks Benchmark: mdbx OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: mdbx Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1.323 2.646 3.969 5.292 6.615 5.39 5.42 5.88
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 Linux 5.11-rc1 Default Kernel Linux 5.10.4 0.2313 0.4626 0.6939 0.9252 1.1565 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 1.028 1.022 1.020
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.1013 0.2026 0.3039 0.4052 0.5065 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.45 0.45 0.45 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.1035 0.207 0.3105 0.414 0.5175 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.46 0.46 0.46 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.0878 0.1756 0.2634 0.3512 0.439 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.39 0.39 0.36 1. (CXX) g++ options: -O3 -pthread
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Linux 5.10.4 Linux 5.11-rc1 Default Kernel 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 44.85 45.16 50.89 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16
XZ Compression Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 11 22 33 44 55 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.30, N = 3 46.09 46.21 47.57 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
PyPerformance Benchmark: regex_compile OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile Linux 5.10.4 Linux 5.11-rc1 Default Kernel 50 100 150 200 250 SE +/- 0.33, N = 3 215 215 233
Basis Universal Settings: UASTC Level 2 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 43.09 43.28 43.98 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
ASTC Encoder Preset: Thorough OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Linux 5.10.4 Default Kernel Linux 5.11-rc1 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 36.58 36.95 37.20 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
PyPerformance Benchmark: pathlib OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 22.7 22.8 25.0
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Linux 5.10.4 Linux 5.11-rc1 Default Kernel 110K 220K 330K 440K 550K SE +/- 700.71, N = 3 SE +/- 1896.86, N = 3 SE +/- 1118.13, N = 3 517024 513740 475137
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 10 Default Kernel Linux 5.11-rc1 Linux 5.10.4 0.5285 1.057 1.5855 2.114 2.6425 SE +/- 0.007, N = 3 SE +/- 0.019, N = 3 SE +/- 0.002, N = 3 2.349 2.347 2.316
Polyhedron Fortran Benchmarks Benchmark: aermod OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: aermod Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 7.01 7.09 7.58
Cryptsetup Twofish-XTS 512b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Decryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 0.61, N = 3 SE +/- 0.35, N = 3 SE +/- 1.69, N = 3 369.3 368.2 334.4
Cryptsetup Twofish-XTS 512b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 512b Encryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 0.25, N = 3 SE +/- 1.00, N = 3 SE +/- 1.79, N = 3 370.6 369.9 333.3
Cryptsetup Serpent-XTS 512b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Decryption Linux 5.10.4 Linux 5.11-rc1 Default Kernel 80 160 240 320 400 SE +/- 0.91, N = 3 SE +/- 1.71, N = 3 SE +/- 2.22, N = 3 356.7 355.3 321.6
Cryptsetup Serpent-XTS 512b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 512b Encryption Linux 5.10.4 Linux 5.11-rc1 Default Kernel 80 160 240 320 400 SE +/- 1.57, N = 3 SE +/- 2.00, N = 2 SE +/- 2.94, N = 3 359.3 358.0 326.1
Cryptsetup AES-XTS 512b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Decryption Linux 5.10.4 Linux 5.11-rc1 Default Kernel 300 600 900 1200 1500 SE +/- 2.77, N = 3 SE +/- 3.76, N = 3 SE +/- 9.75, N = 3 1488.7 1485.4 1359.7
Cryptsetup AES-XTS 512b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 512b Encryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 300 600 900 1200 1500 SE +/- 0.68, N = 3 SE +/- 3.09, N = 3 SE +/- 11.60, N = 3 1488.7 1485.4 1356.0
Cryptsetup Twofish-XTS 256b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Decryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 0.24, N = 3 SE +/- 1.64, N = 3 SE +/- 1.40, N = 3 369.8 367.1 331.7
Cryptsetup Twofish-XTS 256b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Twofish-XTS 256b Encryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 4.26, N = 3 SE +/- 5.33, N = 3 SE +/- 1.62, N = 3 366.2 364.8 333.2
Cryptsetup Serpent-XTS 256b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Decryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 1.32, N = 3 SE +/- 1.70, N = 3 SE +/- 2.23, N = 3 357.3 354.9 320.6
Cryptsetup Serpent-XTS 256b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup Serpent-XTS 256b Encryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 80 160 240 320 400 SE +/- 4.86, N = 3 SE +/- 2.62, N = 3 SE +/- 1.68, N = 3 356.5 356.4 325.1
Cryptsetup AES-XTS 256b Decryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Decryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 400 800 1200 1600 2000 SE +/- 1.79, N = 3 SE +/- 1.07, N = 3 SE +/- 7.30, N = 3 1678.3 1668.2 1531.1
Cryptsetup AES-XTS 256b Encryption OpenBenchmarking.org MiB/s, More Is Better Cryptsetup AES-XTS 256b Encryption Linux 5.11-rc1 Linux 5.10.4 Default Kernel 400 800 1200 1600 2000 SE +/- 9.69, N = 3 SE +/- 12.75, N = 3 SE +/- 2.80, N = 3 1663.4 1658.9 1521.6
Cryptsetup PBKDF2-whirlpool OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-whirlpool Linux 5.11-rc1 Linux 5.10.4 Default Kernel 130K 260K 390K 520K 650K SE +/- 613.12, N = 3 SE +/- 1406.03, N = 3 SE +/- 1020.69, N = 3 603787 603098 550533
Cryptsetup PBKDF2-sha512 OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-sha512 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 300K 600K 900K 1200K 1500K SE +/- 1659.14, N = 3 SE +/- 2865.42, N = 3 SE +/- 12175.94, N = 3 1404973 1403727 1300115
LZ4 Compression Compression Level: 1 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2K 4K 6K 8K 10K SE +/- 40.00, N = 3 SE +/- 9.29, N = 3 SE +/- 55.92, N = 3 8592.3 8560.1 8129.2 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1600 3200 4800 6400 8000 SE +/- 46.06, N = 3 SE +/- 92.18, N = 3 SE +/- 73.87, N = 3 7572.23 7525.63 7192.29 1. (CC) gcc options: -O3
Polyhedron Fortran Benchmarks Benchmark: ac OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: ac Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 7.10 7.10 7.74
PyPerformance Benchmark: django_template OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template Linux 5.11-rc1 Linux 5.10.4 Default Kernel 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.35, N = 3 75.5 75.9 80.9
librsvg Operation: SVG Files To PNG OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG Default Kernel Linux 5.11-rc1 Linux 5.10.4 8 16 24 32 40 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.31, N = 3 34.32 35.00 35.65 1. rsvg-convert version 2.50.1
Zstd Compression Compression Level: 3 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 Linux 5.11-rc1 Default Kernel Linux 5.10.4 600 1200 1800 2400 3000 SE +/- 6.18, N = 3 SE +/- 14.17, N = 3 SE +/- 7.47, N = 3 2872.0 2849.0 2838.6 1. (CC) gcc options: -O3 -pthread -lz
PyPerformance Benchmark: json_loads OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads Linux 5.11-rc1 Linux 5.10.4 Default Kernel 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 34.2 34.3 37.4
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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.05897, N = 15 SE +/- 0.01520, N = 3 SE +/- 0.07065, N = 5 5.78248 5.87713 6.60753 MIN: 5.23 MIN: 5.59 MIN: 5.69 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
PyPerformance Benchmark: chaos OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos Linux 5.11-rc1 Linux 5.10.4 Default Kernel 40 80 120 160 200 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 147 151 160
PyPerformance Benchmark: nbody OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody Linux 5.11-rc1 Linux 5.10.4 Default Kernel 40 80 120 160 200 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 157 159 170
PyPerformance Benchmark: float OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float Linux 5.10.4 Linux 5.11-rc1 Default Kernel 40 80 120 160 200 151 151 164
PyPerformance Benchmark: crypto_pyaes OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes Linux 5.11-rc1 Linux 5.10.4 Default Kernel 30 60 90 120 150 SE +/- 0.33, N = 3 142 143 154
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Linux 5.11-rc1 Linux 5.10.4 Default Kernel 60K 120K 180K 240K 300K SE +/- 802.31, N = 3 SE +/- 872.17, N = 3 SE +/- 1434.22, N = 3 271886.25 270279.69 267555.23 1. (CC) gcc options: -O2 -lrt" -lrt
Polyhedron Fortran Benchmarks Benchmark: air OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: air Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.4005 0.801 1.2015 1.602 2.0025 1.64 1.66 1.78
Monkey Audio Encoding WAV To APE OpenBenchmarking.org Seconds, Fewer Is Better Monkey Audio Encoding 3.99.6 WAV To APE Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 SE +/- 0.02, N = 5 SE +/- 0.04, N = 5 SE +/- 0.07, N = 5 15.82 15.84 17.21 1. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
Redis Test: SET OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SET Default Kernel Linux 5.11-rc1 Linux 5.10.4 300K 600K 900K 1200K 1500K SE +/- 16871.12, N = 4 SE +/- 2028.99, N = 3 SE +/- 8535.72, N = 15 1363650.75 1297244.29 1243969.70 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 Default Kernel Linux 5.11-rc1 Linux 5.10.4 200K 400K 600K 800K 1000K SE +/- 9875.40, N = 15 SE +/- 11649.30, N = 3 SE +/- 14750.43, N = 3 1065654.10 1053853.02 1049901.52 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 SE +/- 0.10, N = 5 14.85 14.87 16.21 1. (CXX) g++ options: -rdynamic
Redis Test: GET OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET Default Kernel Linux 5.11-rc1 Linux 5.10.4 400K 800K 1200K 1600K 2000K SE +/- 22737.24, N = 15 SE +/- 16571.48, N = 3 SE +/- 11369.12, N = 3 1863679.11 1727854.75 1611434.08 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Sunflow Rendering System Global Illumination + Image Synthesis OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Linux 5.10.4 Default Kernel Linux 5.11-rc1 0.356 0.712 1.068 1.424 1.78 SE +/- 0.013, N = 3 SE +/- 0.014, N = 8 SE +/- 0.022, N = 3 1.537 1.581 1.582 MIN: 1.4 / MAX: 2.36 MIN: 1.38 / MAX: 2.33 MIN: 1.4 / MAX: 2.3
Polyhedron Fortran Benchmarks Benchmark: linpk OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: linpk Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1.0823 2.1646 3.2469 4.3292 5.4115 4.72 4.73 4.81
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 22.16 22.50 24.46 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16
RNNoise OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 22.09 22.11 24.18 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Unpacking The Linux Kernel linux-4.15.tar.xz OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.040, N = 20 SE +/- 0.037, N = 4 SE +/- 0.047, N = 4 7.131 7.160 7.403
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.45, N = 3 SE +/- 0.50, N = 3 305.64 310.42 324.27 MIN: 291.26 / MAX: 314.5 MIN: 290.92 / MAX: 337.97 MIN: 310.87 / MAX: 349.12 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.015, N = 5 SE +/- 0.063, N = 12 SE +/- 0.037, N = 5 8.721 8.827 9.542 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
PyPerformance Benchmark: pickle_pure_python OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python Linux 5.11-rc1 Linux 5.10.4 Default Kernel 150 300 450 600 750 SE +/- 0.67, N = 3 646 651 697
Redis Test: LPOP OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: LPOP Default Kernel Linux 5.11-rc1 Linux 5.10.4 400K 800K 1200K 1600K 2000K SE +/- 30740.73, N = 12 SE +/- 5120.03, N = 3 SE +/- 2684.98, N = 3 2014169.29 1114626.25 1075736.66 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 70 140 210 280 350 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 1.02, N = 3 282.82 282.84 308.50 MIN: 281.29 / MAX: 287.16 MIN: 281.31 / MAX: 287.35 MIN: 297.18 / MAX: 319.3 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
GIMP Test: unsharp-mask OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask Default Kernel Linux 5.10.4 Linux 5.11-rc1 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 19.02 19.19 19.45
FLAC Audio Encoding WAV To FLAC OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.03, N = 5 SE +/- 0.08, N = 5 SE +/- 0.06, N = 5 10.71 10.93 11.59 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
GIMP Test: auto-levels OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels Default Kernel Linux 5.10.4 Linux 5.11-rc1 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 16.03 16.90 16.98
GIMP Test: rotate OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate Linux 5.11-rc1 Linux 5.10.4 Default Kernel 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 15.10 15.28 15.41
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 Default Kernel Linux 5.11-rc1 Linux 5.10.4 3 6 9 12 15 SE +/- 0.06535, N = 3 SE +/- 0.04049, N = 3 SE +/- 0.12964, N = 3 9.34927 9.49354 9.80460 MIN: 8.51 MIN: 9 MIN: 9.16 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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.03024, N = 3 SE +/- 0.04602, N = 3 SE +/- 0.00187, N = 3 6.85975 6.92207 7.03197 MIN: 6.65 MIN: 6.7 MIN: 6.48 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Darktable Test: Boat - Acceleration: CPU-only OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only Linux 5.10.4 Linux 5.11-rc1 Default Kernel 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 13.32 13.34 13.75
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Default Kernel Linux 5.10.4 Linux 5.11-rc1 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 14.56 14.60 15.25 1. (CC) gcc options: -std=c99 -O3 -lm -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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1.1996 2.3992 3.5988 4.7984 5.998 SE +/- 0.00397, N = 3 SE +/- 0.00670, N = 3 SE +/- 0.00649, N = 3 4.16855 4.24151 5.33146 MIN: 4.06 MIN: 4.14 MIN: 4.84 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
ASTC Encoder Preset: Fast OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.06, N = 8 SE +/- 0.01, N = 3 7.35 7.42 7.72 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
GIMP Test: resize OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize Default Kernel Linux 5.10.4 Linux 5.11-rc1 3 6 9 12 15 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 10.75 11.83 11.83
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.008, N = 3 SE +/- 0.094, N = 5 SE +/- 0.033, N = 3 8.756 8.872 9.478 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16
ASTC Encoder Preset: Medium OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Linux 5.10.4 Default Kernel Linux 5.11-rc1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 6.05 6.11 6.14 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein Linux 5.11-rc1 Linux 5.10.4 Default Kernel 1.0715 2.143 3.2145 4.286 5.3575 SE +/- 0.012, N = 3 SE +/- 0.014, N = 3 SE +/- 0.098, N = 15 4.762 4.720 4.311 1. (CXX) g++ options: -O3 -pthread -lm
Redis Test: SADD OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: SADD Default Kernel Linux 5.11-rc1 Linux 5.10.4 300K 600K 900K 1200K 1500K SE +/- 21666.11, N = 3 SE +/- 11716.13, N = 3 SE +/- 19698.88, N = 3 1540737.67 1465965.54 1429878.04 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
Basis Universal Settings: UASTC Level 0 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.040, N = 3 SE +/- 0.010, N = 3 SE +/- 0.048, N = 3 9.717 9.860 10.451 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
LAME MP3 Encoding WAV To MP3 OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 3 6 9 12 15 SE +/- 0.005, N = 3 SE +/- 0.014, N = 3 SE +/- 0.054, N = 3 9.490 9.496 10.370 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.662 1.324 1.986 2.648 3.31 SE +/- 0.03607, N = 3 SE +/- 0.02712, N = 3 SE +/- 0.01399, N = 3 2.70498 2.87865 2.94203 MIN: 2.43 MIN: 2.53 MIN: 2.51 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.01700, N = 3 SE +/- 0.02920, N = 3 SE +/- 0.03621, N = 3 8.61372 8.81062 11.56730 MIN: 8.27 MIN: 8.51 MIN: 10.87 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Darktable Test: Masskrug - Acceleration: CPU-only OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only Linux 5.10.4 Linux 5.11-rc1 Default Kernel 2 4 6 8 10 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 6.392 6.397 6.745
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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 20 40 60 80 100 SE +/- 0.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.52, N = 3 88.6 88.2 85.4 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
Darktable Test: Server Room - Acceleration: CPU-only OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only Linux 5.10.4 Linux 5.11-rc1 Default Kernel 1.1723 2.3446 3.5169 4.6892 5.8615 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 4.940 4.959 5.210
libavif avifenc Encoder Speed: 8 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.018, N = 3 SE +/- 0.031, N = 3 6.639 6.700 7.048 1. (CXX) g++ options: -O3 -fPIC
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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 20.87 20.99 23.83 MIN: 20.57 MIN: 20.72 MIN: 22.68 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
libavif avifenc Encoder Speed: 10 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 6.284 6.312 6.622 1. (CXX) g++ options: -O3 -fPIC
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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 21.05 21.09 22.79 MIN: 20.7 MIN: 20.58 MIN: 21.5 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 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 13.21 13.24 13.34 MIN: 12.85 MIN: 12.87 MIN: 12.96 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 Default Kernel Linux 5.10.4 Linux 5.11-rc1 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 17.00 17.38 17.41 MIN: 16.89 MIN: 17.2 MIN: 17.33 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.637 1.274 1.911 2.548 3.185 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.034, N = 3 2.568 2.575 2.831 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Linux 5.10.4 Linux 5.11-rc1 Default Kernel 7K 14K 21K 28K 35K SE +/- 40.89, N = 3 SE +/- 1.43, N = 3 SE +/- 35.57, N = 3 31684.74 31043.73 29782.88 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
WebP Image Encode Encode Settings: Default OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Linux 5.11-rc1 Linux 5.10.4 Default Kernel 0.3992 0.7984 1.1976 1.5968 1.996 SE +/- 0.001, N = 3 SE +/- 0.011, N = 3 SE +/- 0.008, N = 3 1.632 1.639 1.774 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16
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 Linux 5.10.4 Default Kernel Linux 5.11-rc1 140 280 420 560 700 SE +/- 8.16, N = 3 SE +/- 3.40, N = 3 SE +/- 7.06, N = 3 641.4 631.8 625.3 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
Darktable Test: Server Rack - Acceleration: CPU-only OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only Default Kernel Linux 5.10.4 Linux 5.11-rc1 0.0527 0.1054 0.1581 0.2108 0.2635 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.218 0.233 0.234
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 Linux 5.10.4 Linux 5.11-rc1 Default Kernel 200 400 600 800 1000 SE +/- 2.23, N = 3 SE +/- 9.60, N = 3 SE +/- 7.08, N = 3 960.5 947.3 944.3 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
Phoronix Test Suite v10.8.4