Intel Core i9-10980XE GCC compiler benchmarking by Michael Larabel for a future article.
GCC 8.5 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 8.5.0, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
GCC 9.4 OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 2560x1600
GCC 10.3 OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600
GCC 11.1 OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 11.1.0, File-System: ext4, Screen Resolution: 2560x1600
GCC 12.0.0 20210701 OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 12.0.0 20210701, File-System: ext4, Screen Resolution: 2560x1600
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Sharpen GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 70 140 210 280 350 SE +/- 0.33, N = 3 197 265 317 319 319 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Bonds OpenMP GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 16K 32K 48K 64K 80K SE +/- 5.53, N = 3 SE +/- 1061.39, N = 3 SE +/- 11.94, N = 3 SE +/- 36.89, N = 3 SE +/- 48.36, N = 3 74820.19 76452.78 49799.12 48802.76 48317.58 1. (CXX) g++ options: -O3 -march=native -fopenmp
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Compression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 100 200 300 400 500 SE +/- 3.63, N = 3 SE +/- 2.56, N = 13 SE +/- 3.28, N = 15 SE +/- 3.45, N = 3 SE +/- 3.88, N = 15 335.5 375.6 370.1 469.4 385.5 1. (CC) gcc options: -O3 -march=native -pthread -lz
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 8 16 24 32 40 SE +/- 0.19, N = 4 SE +/- 0.23, N = 4 SE +/- 0.09, N = 4 SE +/- 0.16, N = 4 SE +/- 0.18, N = 4 26.84 28.11 32.67 35.09 27.28 1. (CC) gcc options: -O3 -march=native -std=c99
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: ChaCha20Poly1305 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 2.79, N = 3 SE +/- 1.36, N = 3 SE +/- 0.15, N = 3 SE +/- 1.05, N = 3 SE +/- 0.73, N = 3 984.02 951.15 788.57 779.38 781.38 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: ChaCha20Poly1305 - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 2.38, N = 3 SE +/- 0.08, N = 3 SE +/- 0.79, N = 3 SE +/- 0.89, N = 3 SE +/- 0.47, N = 3 977.17 945.45 780.12 774.65 775.49 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Repo OpenMP GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 9K 18K 27K 36K 45K SE +/- 34.41, N = 3 SE +/- 10.60, N = 3 SE +/- 120.35, N = 3 SE +/- 43.71, N = 3 SE +/- 22.03, N = 3 42354.90 42795.05 35458.66 34558.22 34223.30 1. (CXX) g++ options: -O3 -march=native -fopenmp
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 792 752 761 924 903 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.1865 0.373 0.5595 0.746 0.9325 SE +/- 0.003298, N = 3 SE +/- 0.008442, N = 15 SE +/- 0.005954, N = 8 SE +/- 0.005568, N = 3 SE +/- 0.008934, N = 3 0.679482 0.828866 0.680522 0.697080 0.678626 MIN: 0.66 MIN: 0.74 MIN: 0.63 MIN: 0.67 MIN: 0.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.033, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 5.286 6.045 6.130 6.201 5.991 1. (CXX) g++ options: -fopenmp -O3 -march=native
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: resnet-v2-50 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 7 14 21 28 35 SE +/- 0.10, N = 3 SE +/- 0.47, N = 15 SE +/- 0.24, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 27.30 31.45 28.26 28.45 28.27 MIN: 26.86 / MAX: 27.93 MIN: 24.41 / MAX: 36.24 MIN: 27.6 / MAX: 28.76 MIN: 27.77 / MAX: 28.83 MIN: 27.7 / MAX: 28.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 0.75, N = 3 SE +/- 0.13, N = 3 SE +/- 0.63, N = 3 SE +/- 0.15, N = 3 SE +/- 0.44, N = 3 55.5 56.1 58.7 51.0 51.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: Twofish GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 SE +/- 1.13, N = 3 SE +/- 0.30, N = 3 416.18 414.45 404.16 367.68 366.65 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 1.55, N = 2 SE +/- 0.36, N = 3 SE +/- 1.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 56.0 56.2 58.9 51.9 51.9 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 3 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 54.7 54.1 56.4 49.8 49.8 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 0.32, N = 3 SE +/- 0.07, N = 3 SE +/- 0.70, N = 2 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 55.2 54.9 57.1 50.5 51.5 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: Twofish - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 90 180 270 360 450 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.56, N = 3 SE +/- 0.17, N = 3 420.37 411.57 411.52 373.56 374.71 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 300 600 900 1200 1500 SE +/- 2.91, N = 3 SE +/- 4.93, N = 3 SE +/- 8.67, N = 3 SE +/- 3.51, N = 3 SE +/- 7.21, N = 3 1444 1617 1585 1571 1607 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 80 160 240 320 400 SE +/- 0.29, N = 3 SE +/- 0.34, N = 3 SE +/- 0.31, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 321.39 347.44 311.60 314.56 318.06 MIN: 319.29 / MAX: 341.28 MIN: 345.68 / MAX: 356.59 MIN: 309.73 / MAX: 322.67 MIN: 312.66 / MAX: 328.44 MIN: 316.44 / MAX: 326.16 1. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 7.07, N = 15 SE +/- 3.51, N = 3 SE +/- 5.24, N = 3 SE +/- 2.52, N = 3 SE +/- 7.25, N = 15 809 776 765 852 794 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: Blowfish GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 110 220 330 440 550 SE +/- 0.01, N = 3 SE +/- 0.29, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 491.14 486.32 486.29 442.67 442.27 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 0.45, N = 3 SE +/- 1.65, N = 12 SE +/- 0.58, N = 3 SE +/- 0.32, N = 3 SE +/- 1.02, N = 3 146.10 157.33 154.63 142.93 145.17 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -march=native -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.1052 0.2104 0.3156 0.4208 0.526 SE +/- 0.003487, N = 3 SE +/- 0.002588, N = 3 SE +/- 0.004576, N = 4 SE +/- 0.004665, N = 3 SE +/- 0.000391, N = 3 0.441500 0.467594 0.426902 0.430676 0.425675 MIN: 0.41 MIN: 0.44 MIN: 0.4 MIN: 0.41 MIN: 0.41 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: Blowfish - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 100 200 300 400 500 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.30, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 482.78 475.41 474.80 439.56 442.41 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.21 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 600 1200 1800 2400 3000 SE +/- 19.67, N = 3 SE +/- 35.29, N = 3 SE +/- 18.68, N = 3 SE +/- 33.86, N = 4 SE +/- 0.85, N = 3 2586.3 2568.8 2529.8 2749.1 2773.6 1. (CXX) g++ options: -O3 -march=native -rdynamic
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.206 2.412 3.618 4.824 6.03 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 5.36 5.10 5.12 5.06 4.89 MIN: 4.96 / MAX: 8.4 MIN: 4.73 / MAX: 10.4 MIN: 4.76 / MAX: 8.89 MIN: 4.72 / MAX: 10.01 MIN: 4.72 / MAX: 10.07 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 140K 280K 420K 560K 700K SE +/- 3624.80, N = 3 SE +/- 1621.16, N = 3 SE +/- 2003.80, N = 3 SE +/- 1267.23, N = 3 SE +/- 2406.19, N = 3 618050.83 650499.47 630485.59 597455.16 601830.26 1. (CC) gcc options: -O2 -O3 -march=native -lrt" -lrt
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 600 1200 1800 2400 3000 SE +/- 10.70, N = 3 SE +/- 4.29, N = 3 SE +/- 2.75, N = 3 SE +/- 14.84, N = 3 SE +/- 2.25, N = 3 2819.2 3017.6 2876.9 2775.7 2782.7 1. (CC) gcc options: -O3 -march=native -pthread -lz
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: CAST-256 - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.50, N = 3 SE +/- 0.28, N = 3 152.43 150.88 151.25 140.85 140.48 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: CAST-256 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.30, N = 3 152.24 150.59 151.18 141.03 140.31 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Gcrypt Library Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Gcrypt Library 1.9 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 50 100 150 200 250 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.44, N = 3 SE +/- 0.18, N = 3 SE +/- 0.33, N = 3 194.12 193.97 193.41 208.34 196.22 1. (CC) gcc options: -O3 -march=native -fvisibility=hidden -lgpg-error
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: inception-v3 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.28, N = 15 SE +/- 0.42, N = 3 SE +/- 0.42, N = 3 SE +/- 0.43, N = 3 30.15 32.41 30.80 31.28 30.80 MIN: 29.77 / MAX: 30.53 MIN: 29.17 / MAX: 33.89 MIN: 30.12 / MAX: 31.88 MIN: 30.28 / MAX: 31.97 MIN: 30.14 / MAX: 31.87 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: googlenet GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.23, N = 3 SE +/- 0.28, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.31, N = 3 12.73 12.44 13.06 12.84 12.21 MIN: 12.1 / MAX: 19.86 MIN: 12 / MAX: 13.22 MIN: 12.84 / MAX: 14.29 MIN: 12.68 / MAX: 16.73 MIN: 11.77 / MAX: 13.02 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 16 32 48 64 80 SE +/- 0.03, N = 3 SE +/- 1.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 70.12 73.94 69.30 69.80 69.23 MIN: 69.44 / MAX: 71.63 MIN: 72.33 / MAX: 77.08 MIN: 68.65 / MAX: 70.61 MIN: 69.16 / MAX: 70.99 MIN: 68.59 / MAX: 70.34 1. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: efficientnet-b0 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 6.69 6.57 6.62 6.56 6.27 MIN: 6.33 / MAX: 10.85 MIN: 6.28 / MAX: 14.64 MIN: 6.24 / MAX: 24.41 MIN: 6.27 / MAX: 11.76 MIN: 6.05 / MAX: 14.37 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 600 1200 1800 2400 3000 SE +/- 3.24, N = 3 SE +/- 14.28, N = 3 SE +/- 9.76, N = 3 SE +/- 7.69, N = 9 SE +/- 16.86, N = 3 2676.8 2802.7 2701.9 2642.2 2773.9 1. (CC) gcc options: -O3 -march=native -pthread -lz
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 1.15, N = 3 SE +/- 1.33, N = 3 SE +/- 0.88, N = 3 903 864 864 916 884 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: resnet18 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.23, N = 3 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 10.54 10.58 11.16 10.97 10.93 MIN: 10.19 / MAX: 17.98 MIN: 10.2 / MAX: 11.57 MIN: 11.03 / MAX: 11.45 MIN: 10.84 / MAX: 20.49 MIN: 10.84 / MAX: 11.27 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: mnasnet GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.0845 2.169 3.2535 4.338 5.4225 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 4.82 4.73 4.80 4.72 4.58 MIN: 4.55 / MAX: 12.4 MIN: 4.44 / MAX: 11.54 MIN: 4.42 / MAX: 16.22 MIN: 4.46 / MAX: 10.72 MIN: 4.39 / MAX: 10.87 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.22 8.61 8.59 8.63 8.65 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -march=native -fPIC -U_FORTIFY_SOURCE -std=gnu++11
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenetV3 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.5427 1.0854 1.6281 2.1708 2.7135 SE +/- 0.012, N = 3 SE +/- 0.015, N = 15 SE +/- 0.011, N = 3 SE +/- 0.032, N = 3 SE +/- 0.011, N = 3 2.403 2.297 2.341 2.412 2.372 MIN: 2.28 / MAX: 2.54 MIN: 1.96 / MAX: 2.53 MIN: 2.16 / MAX: 2.53 MIN: 2.23 / MAX: 2.61 MIN: 2.25 / MAX: 2.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.043, N = 3 6.642 6.560 6.866 6.780 6.548 1. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -ljpeg -lpng16
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Unkeyed Algorithms GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 80 160 240 320 400 SE +/- 0.02, N = 3 SE +/- 0.65, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.68, N = 3 377.78 375.23 372.58 360.41 374.64 1. (CXX) g++ options: -O3 -march=native -fPIC -pthread -pipe
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 400 800 1200 1600 2000 SE +/- 0.81, N = 3 SE +/- 1.53, N = 3 SE +/- 1.06, N = 3 SE +/- 3.72, N = 3 SE +/- 1.54, N = 3 1573.18 1639.78 1566.75 1566.25 1564.71 MIN: 1566.72 MIN: 1630.86 MIN: 1558.77 MIN: 1553.36 MIN: 1557.51 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 400 800 1200 1600 2000 SE +/- 1.09, N = 3 SE +/- 2.09, N = 3 SE +/- 0.93, N = 3 SE +/- 2.29, N = 3 SE +/- 0.75, N = 3 1573.03 1636.96 1565.41 1563.05 1567.41 MIN: 1566.77 MIN: 1629.18 MIN: 1559.12 MIN: 1555.64 MIN: 1561.17 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.02091, N = 3 SE +/- 0.00795, N = 3 SE +/- 0.02137, N = 3 SE +/- 0.01742, N = 3 SE +/- 0.02038, N = 3 9.82858 9.79185 9.39062 9.41346 9.59452 MIN: 9.53 MIN: 9.62 MIN: 9.29 MIN: 9.27 MIN: 9.4 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Decompression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 700 1400 2100 2800 3500 SE +/- 2.28, N = 3 SE +/- 2.27, N = 5 SE +/- 3.06, N = 3 SE +/- 5.37, N = 3 SE +/- 2.91, N = 3 3361.7 3436.8 3285.5 3351.9 3332.7 1. (CC) gcc options: -O3 -march=native -pthread -lz
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 300 600 900 1200 1500 SE +/- 1.51, N = 3 SE +/- 0.45, N = 3 SE +/- 0.37, N = 3 SE +/- 0.47, N = 3 SE +/- 1.30, N = 3 1445.24 1450.56 1484.23 1468.97 1419.37 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 13 Total Time GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 11M 22M 33M 44M 55M SE +/- 562135.06, N = 15 SE +/- 508293.85, N = 15 SE +/- 623930.99, N = 3 SE +/- 211973.29, N = 3 SE +/- 432778.20, N = 8 51140013 50622552 49942276 52206963 50734571 1. (CXX) g++ options: -lgcov -m64 -lpthread -O3 -march=native -fno-exceptions -std=c++17 -pedantic -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -fprofile-use -fno-peel-loops -fno-tracer -flto=jobserver
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.288 0.576 0.864 1.152 1.44 SE +/- 0.00683, N = 3 SE +/- 0.00348, N = 3 SE +/- 0.00554, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.00255, N = 3 1.23239 1.27991 1.22703 1.23012 1.22496 MIN: 1.18 MIN: 1.23 MIN: 1.18 MIN: 1.19 MIN: 1.18 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: MobileNetV2_224 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.8447 1.6894 2.5341 3.3788 4.2235 SE +/- 0.069, N = 3 SE +/- 0.040, N = 15 SE +/- 0.090, N = 3 SE +/- 0.018, N = 3 SE +/- 0.058, N = 3 3.704 3.594 3.669 3.754 3.729 MIN: 3.31 / MAX: 3.95 MIN: 3.07 / MAX: 4.08 MIN: 3.42 / MAX: 4.19 MIN: 3.47 / MAX: 3.95 MIN: 3.41 / MAX: 3.94 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Decompression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 800 1600 2400 3200 4000 SE +/- 5.55, N = 3 SE +/- 2.52, N = 13 SE +/- 3.49, N = 15 SE +/- 3.35, N = 3 SE +/- 3.04, N = 15 3547.4 3628.4 3479.0 3553.2 3531.4 1. (CC) gcc options: -O3 -march=native -pthread -lz
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 70 140 210 280 350 SE +/- 2.56, N = 13 SE +/- 4.16, N = 3 SE +/- 1.76, N = 14 SE +/- 2.83, N = 6 SE +/- 3.01, N = 5 306.08 295.07 299.97 297.32 293.71 1. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: resnet50 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.30, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.24, N = 3 SE +/- 0.24, N = 3 18.33 17.59 17.87 17.77 17.74 MIN: 17.58 / MAX: 24.57 MIN: 17.07 / MAX: 18.69 MIN: 17.16 / MAX: 18.62 MIN: 17.07 / MAX: 28.68 MIN: 17.09 / MAX: 18.96 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 90 180 270 360 450 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 390 387 403 403 403 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 36 - Buffer Length: 256 - Filter Length: 57 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200M 400M 600M 800M 1000M SE +/- 120554.28, N = 3 SE +/- 588132.64, N = 3 SE +/- 272213.15, N = 3 SE +/- 1013283.99, N = 3 SE +/- 1056729.76, N = 3 916790000 921670000 940660000 954536667 937553333 1. (CC) gcc options: -O3 -march=native -pthread -lm -lc -lliquid
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.062 2.124 3.186 4.248 5.31 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 4.72 4.57 4.64 4.66 4.54 MIN: 4.49 / MAX: 7.39 MIN: 4.37 / MAX: 9.05 MIN: 4.36 / MAX: 10.01 MIN: 4.46 / MAX: 12.92 MIN: 4.37 / MAX: 11.47 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: SqueezeNetV1.0 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.2877 2.5754 3.8631 5.1508 6.4385 SE +/- 0.056, N = 3 SE +/- 0.039, N = 15 SE +/- 0.083, N = 3 SE +/- 0.020, N = 3 SE +/- 0.079, N = 3 5.594 5.540 5.612 5.723 5.506 MIN: 5.4 / MAX: 5.85 MIN: 5.06 / MAX: 6.72 MIN: 5.24 / MAX: 6.01 MIN: 5.47 / MAX: 6.72 MIN: 5.22 / MAX: 5.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Keyed Algorithms GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 160 320 480 640 800 SE +/- 0.10, N = 3 SE +/- 0.35, N = 3 SE +/- 0.48, N = 3 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 714.49 719.76 717.17 692.99 714.21 1. (CXX) g++ options: -O3 -march=native -fPIC -pthread -pipe
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 9 18 27 36 45 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 37.70 36.87 37.87 36.47 37.16 1. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -ljpeg -lpng16
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.9.0 Video Input: Chimera 1080p 10-bit GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 50 100 150 200 250 SE +/- 0.39, N = 3 SE +/- 0.34, N = 3 SE +/- 0.50, N = 3 SE +/- 1.18, N = 3 SE +/- 0.48, N = 3 215.16 219.69 222.27 223.06 221.94 -lm - MIN: 151.62 / MAX: 411.26 -lm - MIN: 156.35 / MAX: 406.23 MIN: 157.09 / MAX: 436.51 MIN: 157.45 / MAX: 397.96 MIN: 157.38 / MAX: 404.98 1. (CC) gcc options: -O3 -march=native -pthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: squeezenet_ssd GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 4 8 12 16 20 SE +/- 0.36, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 15.63 15.08 15.26 15.23 15.28 MIN: 15.02 / MAX: 16.85 MIN: 14.88 / MAX: 21.62 MIN: 14.97 / MAX: 18.92 MIN: 14.88 / MAX: 17.07 MIN: 14.89 / MAX: 16.1 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 21.53 21.64 21.84 21.16 21.08 1. (CXX) g++ options: -O3 -march=native -rdynamic -lpthread -lrt -ldl -lnuma
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.9.0 Video Input: Summer Nature 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 40 80 120 160 200 SE +/- 0.89, N = 3 SE +/- 1.65, N = 3 SE +/- 2.16, N = 3 SE +/- 1.13, N = 3 SE +/- 1.97, N = 6 197.46 199.89 195.15 192.95 194.06 -lm - MIN: 150.4 / MAX: 226.05 -lm - MIN: 143.79 / MAX: 228.44 MIN: 149.2 / MAX: 222.59 MIN: 132.83 / MAX: 217.9 MIN: 131.48 / MAX: 225.93 1. (CC) gcc options: -O3 -march=native -pthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 0 - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.107 2.214 3.321 4.428 5.535 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 4.75 4.87 4.84 4.87 4.92 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -march=native -fPIC -U_FORTIFY_SOURCE -std=gnu++11
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sAXPY GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 16 32 48 64 80 SE +/- 1.48, N = 3 SE +/- 0.12, N = 3 SE +/- 0.30, N = 3 SE +/- 0.31, N = 3 SE +/- 0.35, N = 3 68.8 71.2 70.3 70.7 70.1 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.63, N = 3 SE +/- 0.19, N = 3 289.96 296.14 286.22 288.91 287.49 MIN: 288.43 / MAX: 291.61 MIN: 294.66 / MAX: 298.56 MIN: 285.02 / MAX: 287.82 MIN: 286.05 / MAX: 294.45 MIN: 285.88 / MAX: 299.62 1. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.008 2.016 3.024 4.032 5.04 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 10 4.46 4.44 4.48 4.33 4.40 1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 27.18 27.24 27.86 28.07 28.10 1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: regnety_400m GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 13.77 13.87 13.63 13.93 13.48 MIN: 12.93 / MAX: 14.62 MIN: 13.18 / MAX: 15.01 MIN: 13.01 / MAX: 14.57 MIN: 13.17 / MAX: 14.48 MIN: 13.11 / MAX: 14.04 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 + Dithering GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 70 140 210 280 350 SE +/- 2.72, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 329.13 336.11 329.49 327.33 325.28 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 16 32 48 64 80 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 3 69.5 71.8 71.6 71.7 71.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
Opus Codec Encoding Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.011, N = 5 SE +/- 0.021, N = 5 SE +/- 0.031, N = 5 SE +/- 0.013, N = 5 SE +/- 0.011, N = 5 8.283 8.241 8.283 8.456 8.186 1. (CXX) g++ options: -O3 -march=native -fvisibility=hidden -logg -lm
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Compression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 90 180 270 360 450 SE +/- 4.99, N = 3 SE +/- 4.23, N = 5 SE +/- 4.87, N = 3 SE +/- 5.64, N = 3 SE +/- 5.56, N = 3 425.7 429.4 424.0 419.5 432.7 1. (CC) gcc options: -O3 -march=native -pthread -lz
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.6635 1.327 1.9905 2.654 3.3175 SE +/- 0.01360, N = 3 SE +/- 0.01601, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.01584, N = 3 SE +/- 0.01797, N = 3 2.94903 2.86008 2.93978 2.93428 2.94670 MIN: 2.85 MIN: 2.77 MIN: 2.83 MIN: 2.83 MIN: 2.84 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Tachyon This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 11 22 33 44 55 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 48.16 47.88 47.90 47.87 49.32 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200M 400M 600M 800M 1000M SE +/- 353836.12, N = 3 SE +/- 539269.05, N = 3 SE +/- 2904171.33, N = 3 SE +/- 4781007.56, N = 3 SE +/- 4623189.13, N = 3 924630000 930236667 939716667 951170000 944433333 1. (CC) gcc options: -O3 -march=native -pthread -lm -lc -lliquid
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 70 140 210 280 350 SE +/- 0.21, N = 3 SE +/- 1.42, N = 3 SE +/- 1.79, N = 3 SE +/- 2.35, N = 3 SE +/- 0.68, N = 3 310.79 302.25 306.89 305.72 303.54 1. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 1.32, N = 3 SE +/- 1.46, N = 3 SE +/- 0.16, N = 3 SE +/- 0.70, N = 3 SE +/- 0.15, N = 3 939.92 961.38 938.22 936.88 935.38 MIN: 933.27 MIN: 955.17 MIN: 930.52 MIN: 931.54 MIN: 931.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: blazeface GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.5873 1.1746 1.7619 2.3492 2.9365 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 2.56 2.54 2.61 2.55 2.54 MIN: 2.5 / MAX: 3.31 MIN: 2.45 / MAX: 3.32 MIN: 2.47 / MAX: 3.3 MIN: 2.47 / MAX: 3.17 MIN: 2.46 / MAX: 3.12 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: mobilenet GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 14.16 13.94 13.81 13.79 13.81 MIN: 13.93 / MAX: 14.76 MIN: 13.68 / MAX: 22.27 MIN: 13.51 / MAX: 20.36 MIN: 13.61 / MAX: 14.23 MIN: 13.64 / MAX: 14.54 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.4031 0.8062 1.2093 1.6124 2.0155 SE +/- 0.00719, N = 3 SE +/- 0.00782, N = 3 SE +/- 0.00494, N = 3 SE +/- 0.00508, N = 3 SE +/- 0.00613, N = 3 1.76308 1.79150 1.75520 1.76264 1.74471 MIN: 1.7 MIN: 1.74 MIN: 1.69 MIN: 1.69 MIN: 1.66 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 17.20 16.82 17.25 16.80 16.89 1. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -ljpeg -lpng16
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sCOPY GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 11 22 33 44 55 SE +/- 0.27, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 45.9 47.1 46.4 46.7 46.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 200 400 600 800 1000 SE +/- 0.50, N = 3 SE +/- 0.63, N = 3 SE +/- 0.69, N = 3 SE +/- 0.60, N = 3 SE +/- 0.46, N = 3 937.61 960.13 935.96 938.04 936.49 MIN: 932.91 MIN: 955.07 MIN: 930.6 MIN: 933.04 MIN: 932.18 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.2 Pfam Database Search GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 126.20 126.51 126.69 126.62 129.45 1. (CC) gcc options: -O3 -march=native -pthread -lhmmer -leasel -lm -lmpi
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: KASUMI GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 99.72 100.41 98.20 100.70 100.61 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 1.35, N = 3 SE +/- 1.54, N = 3 SE +/- 1.51, N = 3 SE +/- 0.26, N = 3 SE +/- 1.05, N = 3 126.20 127.69 126.88 129.40 128.32 1. (CC) gcc options: -O3 -march=native -fopenmp -lm -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 8.716 8.525 8.730 8.732 8.599 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -march=native -lm
7-Zip Compression This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 20K 40K 60K 80K 100K SE +/- 69.57, N = 3 SE +/- 343.09, N = 3 SE +/- 46.23, N = 3 SE +/- 304.44, N = 3 SE +/- 228.39, N = 3 99711 98298 97426 98149 98493 1. (CXX) g++ options: -pipe -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 10 20 30 40 50 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.19, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 43.3 43.5 43.9 44.3 43.9 1. (CC) gcc options: -O3 -march=native -pthread -lz
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.01311, N = 3 SE +/- 0.01517, N = 3 SE +/- 0.01276, N = 3 SE +/- 0.01164, N = 3 SE +/- 0.00808, N = 3 9.34766 9.55455 9.35095 9.35550 9.34206 MIN: 9.29 MIN: 9.5 MIN: 9.29 MIN: 9.29 MIN: 9.28 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC2 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 198.11 199.10 197.63 194.76 197.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateless GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30K 60K 90K 120K 150K SE +/- 578.10, N = 3 SE +/- 1635.40, N = 4 SE +/- 1006.09, N = 3 SE +/- 946.90, N = 3 SE +/- 734.59, N = 3 135302 135903 138222 136444 137966 1. (CC) gcc options: -lstdc++ -lssl -lcrypto -lm -lrt -lpthread -O3 -march=native
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: alexnet GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 9.05 9.15 9.18 9.08 8.99 MIN: 8.96 / MAX: 19.48 MIN: 9.08 / MAX: 9.59 MIN: 9.11 / MAX: 9.74 MIN: 9 / MAX: 11.81 MIN: 8.73 / MAX: 9.39 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: INVITE GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 700 1400 2100 2800 3500 SE +/- 25.16, N = 15 SE +/- 27.02, N = 3 SE +/- 6.36, N = 3 SE +/- 7.22, N = 3 SE +/- 25.40, N = 15 3307 3252 3281 3240 3304 1. (CC) gcc options: -lstdc++ -lssl -lcrypto -lm -lrt -lpthread -O3 -march=native
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 29.82 30.04 30.43 29.96 29.97 1. (CC) gcc options: -lm -lpthread -O3 -march=native
VOSK Speech Recognition Toolkit VOSK is an open-source offline speech recognition API/toolkit. VOSK supports speech recognition in 17 languages and has a variety of models available and interfaces for different programming languages. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better VOSK Speech Recognition Toolkit 0.3.21 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 SE +/- 0.07, N = 3 20.72 20.99 20.75 20.89 20.57
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 19.40 19.34 19.28 19.64 19.67 1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: KASUMI - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 97.64 98.56 96.88 97.00 96.61 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Himeno Benchmark The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1000 2000 3000 4000 5000 SE +/- 0.61, N = 3 SE +/- 5.70, N = 3 SE +/- 13.08, N = 3 SE +/- 0.64, N = 3 SE +/- 2.82, N = 3 4522.73 4609.40 4538.66 4592.95 4580.19 1. (CC) gcc options: -O3 -march=native -mavx2
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: vgg16 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 8 16 24 32 40 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 0.47, N = 3 SE +/- 0.52, N = 3 SE +/- 0.53, N = 3 36.20 36.01 36.35 36.56 36.70 MIN: 35.36 / MAX: 47.25 MIN: 35.37 / MAX: 37.68 MIN: 35.3 / MAX: 37.7 MIN: 35.42 / MAX: 58.41 MIN: 35.5 / MAX: 41.99 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
SecureMark SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org marks, More Is Better SecureMark 1.0.4 Benchmark: SecureMark-TLS GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 60K 120K 180K 240K 300K SE +/- 106.27, N = 3 SE +/- 247.29, N = 3 SE +/- 95.66, N = 3 SE +/- 68.80, N = 3 SE +/- 101.43, N = 3 259869 263457 263472 259565 264514 1. (CC) gcc options: -pedantic -O3
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 90 180 270 360 450 424 424 427 432 429 1. (CC) gcc options: -fopenmp -O3 -march=native -pthread -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lz -lm -lpthread
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Compressor: blosclz GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3K 6K 9K 12K 15K SE +/- 11.42, N = 3 SE +/- 18.15, N = 3 SE +/- 21.15, N = 3 SE +/- 69.56, N = 3 SE +/- 37.20, N = 3 11800.7 11802.6 11713.4 11926.8 11889.4 1. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.5573 1.1146 1.6719 2.2292 2.7865 SE +/- 0.025, N = 3 SE +/- 0.012, N = 15 SE +/- 0.025, N = 3 SE +/- 0.024, N = 3 SE +/- 0.029, N = 3 2.433 2.455 2.467 2.477 2.477 MIN: 2.32 / MAX: 2.62 MIN: 2.23 / MAX: 3.16 MIN: 2.32 / MAX: 2.68 MIN: 2.3 / MAX: 2.65 MIN: 2.3 / MAX: 2.74 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.08, N = 15 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 12 7.51 7.43 7.38 7.51 7.49 1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Crypto++ Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/second, More Is Better Crypto++ 8.2 Test: Integer + Elliptic Curve Public Key Algorithms GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1200 2400 3600 4800 6000 SE +/- 1.33, N = 3 SE +/- 6.16, N = 3 SE +/- 1.85, N = 3 SE +/- 1.99, N = 3 SE +/- 5.19, N = 3 5519.14 5538.55 5503.08 5593.13 5532.47 1. (CXX) g++ options: -O3 -march=native -fPIC -pthread -pipe
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 50 100 150 200 250 SE +/- 1.34, N = 3 SE +/- 1.22, N = 3 SE +/- 3.33, N = 3 SE +/- 3.10, N = 3 SE +/- 1.58, N = 3 247.45 243.48 246.75 244.05 244.56 1. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 21.35 21.20 21.09 21.01 21.15 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: shufflenet-v2 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.1363 2.2726 3.4089 4.5452 5.6815 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 5.05 4.97 5.02 5.05 4.98 MIN: 4.83 / MAX: 14.14 MIN: 4.8 / MAX: 8.9 MIN: 4.83 / MAX: 15.94 MIN: 4.88 / MAX: 9.37 MIN: 4.88 / MAX: 8.6 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
SQLite Speedtest This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 57.61 57.03 57.30 57.41 56.72 1. (CC) gcc options: -O3 -march=native -ldl -lz -lpthread
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.012, N = 5 SE +/- 0.006, N = 5 SE +/- 0.004, N = 5 SE +/- 0.009, N = 5 SE +/- 0.014, N = 5 8.436 8.500 8.369 8.411 8.379 1. (CXX) g++ options: -O3 -march=native -fvisibility=hidden -logg -lm
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 14 28 42 56 70 SE +/- 0.19, N = 3 SE +/- 0.50, N = 3 SE +/- 0.56, N = 3 SE +/- 0.50, N = 9 SE +/- 0.47, N = 3 60.3 60.2 60.1 61.0 60.8 1. (CC) gcc options: -O3 -march=native -pthread -lz
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.1.0 Test: Decompression Throughput GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 50 100 150 200 250 SE +/- 0.03, N = 3 SE +/- 0.84, N = 3 SE +/- 0.30, N = 3 SE +/- 0.47, N = 3 SE +/- 0.26, N = 3 218.81 220.62 219.54 218.62 217.43 1. (CC) gcc options: -O3 -march=native -rdynamic
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.3058 0.6116 0.9174 1.2232 1.529 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 1.340 1.355 1.359 1.347 1.348 1. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 11.93 12.02 12.06 12.09 11.97 1. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sDOT GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 20 40 60 80 100 SE +/- 0.42, N = 3 SE +/- 0.26, N = 3 SE +/- 0.33, N = 3 SE +/- 0.43, N = 3 SE +/- 0.49, N = 3 77.0 78.0 77.4 77.6 77.1 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 40.13 40.16 40.64 40.31 40.20 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt
PJSIP PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1200 2400 3600 4800 6000 SE +/- 16.26, N = 3 SE +/- 24.67, N = 3 SE +/- 8.67, N = 3 SE +/- 53.69, N = 3 SE +/- 23.13, N = 3 5801 5729 5744 5769 5763 1. (CC) gcc options: -lstdc++ -lssl -lcrypto -lm -lrt -lpthread -O3 -march=native
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 12.88 12.91 13.04 12.96 12.94 1. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 30 60 90 120 150 SE +/- 0.81, N = 3 SE +/- 0.71, N = 3 SE +/- 1.13, N = 3 SE +/- 0.92, N = 3 SE +/- 0.83, N = 3 134.35 134.22 133.91 134.71 135.43 1. (CC) gcc options: -O3 -march=native -fopenmp -lm -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 80 160 240 320 400 SE +/- 0.95, N = 3 SE +/- 0.96, N = 3 SE +/- 1.74, N = 3 SE +/- 1.99, N = 3 SE +/- 0.75, N = 3 374.62 376.89 372.69 375.65 375.32 1. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.2589 2.5178 3.7767 5.0356 6.2945 SE +/- 0.02371, N = 3 SE +/- 0.02285, N = 3 SE +/- 0.01959, N = 3 SE +/- 0.02335, N = 3 SE +/- 0.02089, N = 3 5.54062 5.59533 5.53334 5.54544 5.53672 MIN: 5.4 MIN: 5.45 MIN: 5.38 MIN: 5.4 MIN: 5.38 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 11.02 10.96 10.92 10.92 10.93 MIN: 10.79 MIN: 10.74 MIN: 10.74 MIN: 10.74 MIN: 10.77 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 40 80 120 160 200 SE +/- 0.58, N = 3 SE +/- 0.18, N = 3 SE +/- 0.44, N = 3 SE +/- 0.31, N = 3 SE +/- 0.32, N = 3 190.03 190.62 189.88 191.02 191.33 1. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 20 40 60 80 100 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.38, N = 3 SE +/- 0.09, N = 3 79.9 79.7 79.6 79.3 79.5 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: AES-256 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 900 1800 2700 3600 4500 SE +/- 0.87, N = 3 SE +/- 0.82, N = 3 SE +/- 4.08, N = 3 SE +/- 2.67, N = 3 SE +/- 7.30, N = 3 3998.63 3987.08 3999.25 3985.27 3972.02 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
GnuPG This test times how long it takes to encrypt a sample file using GnuPG. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GnuPG 2.2.27 2.7GB Sample File Encryption GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 14 28 42 56 70 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.23, N = 3 SE +/- 0.56, N = 3 64.24 64.23 64.42 64.20 64.61 1. (CC) gcc options: -O3 -march=native
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: DenseNet GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 800 1600 2400 3200 4000 SE +/- 0.16, N = 3 SE +/- 2.55, N = 3 SE +/- 0.59, N = 3 SE +/- 0.77, N = 3 SE +/- 0.21, N = 3 3505.93 3527.68 3508.29 3508.39 3524.75 MIN: 3487.54 / MAX: 3535.34 MIN: 3508.67 / MAX: 3981.67 MIN: 3489.27 / MAX: 3603.98 MIN: 3486.98 / MAX: 3606.8 MIN: 3509.67 / MAX: 3548.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dAXPY GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 13 26 39 52 65 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 57.1 57.4 57.3 57.4 57.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dCOPY GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 38.1 38.1 38.3 38.3 38.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.1189 0.2378 0.3567 0.4756 0.5945 SE +/- 0.003001, N = 3 SE +/- 0.003361, N = 3 SE +/- 0.003324, N = 3 SE +/- 0.003036, N = 3 SE +/- 0.003225, N = 3 0.528416 0.526798 0.526014 0.528133 0.527939 MIN: 0.5 MIN: 0.5 MIN: 0.5 MIN: 0.5 MIN: 0.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 0.1038 0.2076 0.3114 0.4152 0.519 SE +/- 0.000631, N = 3 SE +/- 0.001062, N = 3 SE +/- 0.001585, N = 3 SE +/- 0.000687, N = 3 SE +/- 0.001427, N = 3 0.461459 0.459456 0.460482 0.459956 0.459660 MIN: 0.45 MIN: 0.45 MIN: 0.45 MIN: 0.45 MIN: 0.45 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
WavPack Audio Encoding This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 3 6 9 12 15 SE +/- 0.00, N = 5 SE +/- 0.00, N = 5 SE +/- 0.02, N = 5 SE +/- 0.00, N = 5 SE +/- 0.00, N = 5 13.36 13.38 13.34 13.35 13.33 1. (CXX) g++ options: -O3 -march=native -rdynamic
Botan Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better Botan 2.17.3 Test: AES-256 - Decrypt GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 900 1800 2700 3600 4500 SE +/- 1.28, N = 3 SE +/- 0.39, N = 3 SE +/- 0.87, N = 3 SE +/- 0.79, N = 3 SE +/- 4.17, N = 3 3991.20 3993.89 3998.48 3995.23 3993.17 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.org FPS, More Is Better libgav1 0.16.3 Video Input: Summer Nature 4K GCC 12.0.0 20210701 7 14 21 28 35 SE +/- 0.01, N = 3 28.24 1. (CXX) g++ options: -O3 -march=native -lpthread -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: yolov4-tiny GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 5 10 15 20 25 SE +/- 0.25, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 1.86, N = 3 20.84 21.35 21.26 21.37 22.83 MIN: 19.92 / MAX: 24.91 MIN: 20.42 / MAX: 33.9 MIN: 20 / MAX: 24.4 MIN: 20.44 / MAX: 22.72 MIN: 20.18 / MAX: 937.4 1. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: squeezenetv1.1 GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 1.037 2.074 3.111 4.148 5.185 SE +/- 0.036, N = 3 SE +/- 0.061, N = 15 SE +/- 0.162, N = 3 SE +/- 0.007, N = 3 SE +/- 0.149, N = 3 4.564 4.420 4.271 4.609 4.283 MIN: 4.42 / MAX: 4.75 MIN: 3.98 / MAX: 4.76 MIN: 3.97 / MAX: 4.72 MIN: 4.51 / MAX: 4.78 MIN: 3.97 / MAX: 4.71 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dDOT GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 14 28 42 56 70 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 9.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 63.6 63.7 54.7 63.7 63.7 1. (CXX) g++ options: -O3 -march=native -fopenmp -rdynamic -lOpenCL
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU GCC 8.5 GCC 9.4 GCC 10.3 GCC 11.1 GCC 12.0.0 20210701 2 4 6 8 10 SE +/- 0.02602, N = 3 SE +/- 0.17046, N = 14 SE +/- 0.03159, N = 3 SE +/- 0.03513, N = 3 SE +/- 0.03413, N = 3 7.89032 8.10038 7.90163 7.90477 7.91258 MIN: 7.58 MIN: 7.58 MIN: 7.61 MIN: 7.56 MIN: 7.63 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
GCC 8.5 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 8.5.0, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 3 July 2021 06:26 by user phoronix.
GCC 9.4 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 2 July 2021 21:12 by user phoronix.
GCC 10.3 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 2 July 2021 11:17 by user phoronix.
GCC 11.1 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 11.1.0, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 2 July 2021 04:57 by user phoronix.
GCC 12.0.0 20210701 Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-22-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 12.0.0 20210701, File-System: ext4, Screen Resolution: 2560x1600
Kernel Notes: Transparent Huge Pages: madviseEnvironment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003102Python Notes: Python 3.9.5Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 1 July 2021 13:33 by user phoronix.