Zen Ryzen 7 2700X LInux Ubuntu

AMD Ryzen 7 2700X Eight-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB on Ubuntu 18.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1905147-HV-ZENRYZEN770
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Sapphire AMD Radeon RX 470
May 13 2019
  6 Hours, 56 Minutes
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Sapphire AMD Radeon RX 470

Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz), Audio: AMD Ellesmere, Monitor: ASUS PB278, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac

OS: Ubuntu 18.04, Kernel: 4.18.0-17-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 18.2.8 (LLVM 7.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Graphics Notes: GLAMOR
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization

Zen Ryzen 7 2700X LInux UbuntuOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS)AMD 17h16384MBSamsung SSD 970 EVO 250GBSapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz)AMD EllesmereASUS PB278Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/acUbuntu 18.044.18.0-17-generic (x86_64)GNOME Shell 3.28.3X Server 1.20.1modesetting 1.20.14.5 Mesa 18.2.8 (LLVM 7.0.0)GCC 7.4.0ext42560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionZen Ryzen 7 2700X LInux Ubuntu BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand- GLAMOR- Python 2.7.15rc1 + Python 3.6.7- __user pointer sanitization

Zen Ryzen 7 2700X LInux Ubuntumkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Convolution Batch conv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_all - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - f32selenium: ARES-6 - Firefoxmkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32y-cruncher: Calculating 500M Pi Digitsgeexlab: 1920 x 1080 - GL3 Mesh Explodergeexlab: 2560 x 1440 - GL2 Tunnel Beautygeexlab: 2560 x 1440 - GL2 Cell Shadinggeexlab: 1920 x 1080 - GL2 Tunnel Beautygeexlab: 1920 x 1080 - GL2 Cell Shadinggeexlab: 2560 x 1440 - GL3 Vertex Poolgeexlab: 2560 x 1440 - GL2 AntTweakBarmkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32geexlab: 2560 x 1440 - GL3 Mesh Explodermkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32geexlab: 1920 x 1080 - GL2 Hot Tunnel DNAmkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32geexlab: 2560 x 1440 - GL2 Hot Tunnel DNAmkl-dnn: Convolution Batch conv_all - f32geexlab: 1920 x 1080 - GL2 Noise Animation Electricmkl-dnn: Deconvolution Batch deconv_3d - f32geexlab: 2560 x 1440 - GL2 Noise Animation Electricmkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: IP Batch 1D - f32geexlab: 1920 x 1080 - GL3 Vertex Poolmkl-dnn: IP Batch All - f32mkl-dnn: Convolution Batch conv_all - u8s8f32s32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: IP Batch 1D - u8s8f32s32mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32mkl-dnn: IP Batch All - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32mkl-dnn: IP Batch All - u8s8f32s32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32mkl-dnn: Convolution Batch conv_alexnet - f32selenium: Octane - Firefoxselenium: WebXPRT - Firefoxmkl-dnn: Convolution Batch conv_3d - u8s8f32s32selenium: Basemark - Firefoxselenium: Jetstream - Firefoxselenium: CanvasMark - Firefoxselenium: MotionMark - Firefoxselenium: Jetstream 2 - Firefoxselenium: Speedometer - Firefoxgeexlab: 1920 x 1080 - GL2 AntTweakBartachyon: Total Timedav1d: Summer Nature 4Kdav1d: Summer Nature 1080pindigobench: Bedroomindigobench: SupercarSapphire AMD Radeon RX 470316.7011516.3752283.3031.6764.8741506.5735.963571.8389.403136.93117.833553.936785.133357.439156.143468.005191.61112.162770.70103.375676.982800.8813.492129.276076.0519.318340.50239.0951634.7361.175255.3061.645343.01561.539191.97557.105195.0734.782733.69716.973729624911381.63714.87211.441324168.2379.5672.633400.635.6434.0311.711.232.64OpenBenchmarking.org

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Sapphire AMD Radeon RX 47070140210280350SE +/- 0.69, N = 3316.70MIN: 312.211. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32Sapphire AMD Radeon RX 4702K4K6K8K10KSE +/- 24.22, N = 311516.37MIN: 11463.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32Sapphire AMD Radeon RX 47011K22K33K44K55KSE +/- 68.26, N = 352283.30MIN: 51736.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32Sapphire AMD Radeon RX 470714212835SE +/- 0.25, N = 1431.67MIN: 30.891. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxSapphire AMD Radeon RX 4701428425670SE +/- 0.08, N = 364.871. firefox 66.0.5

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32Sapphire AMD Radeon RX 4709K18K27K36K45KSE +/- 531.39, N = 341506.57MIN: 40324.61. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.7Calculating 500M Pi DigitsSapphire AMD Radeon RX 470816243240SE +/- 0.02, N = 335.96

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL3 Mesh ExploderSapphire AMD Radeon RX 4708001600240032004000SE +/- 37.99, N = 153571.83

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL2 Tunnel BeautySapphire AMD Radeon RX 47020406080100SE +/- 0.00, N = 389.40

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL2 Cell ShadingSapphire AMD Radeon RX 4707001400210028003500SE +/- 4.07, N = 33136.93

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL2 Tunnel BeautySapphire AMD Radeon RX 470306090120150SE +/- 7.13, N = 15117.83

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL2 Cell ShadingSapphire AMD Radeon RX 4708001600240032004000SE +/- 15.23, N = 33553.93

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL3 Vertex PoolSapphire AMD Radeon RX 47015003000450060007500SE +/- 1.91, N = 36785.13

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL2 AntTweakBarSapphire AMD Radeon RX 4707001400210028003500SE +/- 46.14, N = 33357.43

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32Sapphire AMD Radeon RX 4702K4K6K8K10KSE +/- 8.17, N = 39156.14MIN: 9105.031. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL3 Mesh ExploderSapphire AMD Radeon RX 4707001400210028003500SE +/- 24.00, N = 33468.00

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32Sapphire AMD Radeon RX 47011002200330044005500SE +/- 0.69, N = 35191.61MIN: 5179.591. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL2 Hot Tunnel DNASapphire AMD Radeon RX 470306090120150SE +/- 6.04, N = 15112.16

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32Sapphire AMD Radeon RX 4706001200180024003000SE +/- 8.08, N = 32770.70MIN: 2728.391. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL2 Hot Tunnel DNASapphire AMD Radeon RX 47020406080100SE +/- 0.07, N = 3103.37

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32Sapphire AMD Radeon RX 47012002400360048006000SE +/- 18.52, N = 35676.98MIN: 5620.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL2 Noise Animation ElectricSapphire AMD Radeon RX 4706001200180024003000SE +/- 145.43, N = 152800.88

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32Sapphire AMD Radeon RX 4703691215SE +/- 0.20, N = 313.49MIN: 12.981. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 2560 x 1440 - Test: GL2 Noise Animation ElectricSapphire AMD Radeon RX 4705001000150020002500SE +/- 0.95, N = 32129.27

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32Sapphire AMD Radeon RX 47013002600390052006500SE +/- 8.29, N = 36076.05MIN: 5973.541. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32Sapphire AMD Radeon RX 470510152025SE +/- 0.12, N = 319.31MIN: 18.971. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL3 Vertex PoolSapphire AMD Radeon RX 4702K4K6K8K10KSE +/- 2.61, N = 38340.50

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32Sapphire AMD Radeon RX 47050100150200250SE +/- 0.60, N = 3239.09MIN: 236.091. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8f32s32Sapphire AMD Radeon RX 47011K22K33K44K55KSE +/- 196.87, N = 351634.73MIN: 50917.51. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32Sapphire AMD Radeon RX 4701428425670SE +/- 0.38, N = 361.17MIN: 59.621. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32Sapphire AMD Radeon RX 47011002200330044005500SE +/- 48.24, N = 105255.30MIN: 5178.711. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8f32s32Sapphire AMD Radeon RX 4701428425670SE +/- 0.26, N = 361.64MIN: 59.61. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32Sapphire AMD Radeon RX 47011002200330044005500SE +/- 8.48, N = 35343.01MIN: 5301.181. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32Sapphire AMD Radeon RX 470120240360480600SE +/- 6.59, N = 3561.53MIN: 550.51. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32Sapphire AMD Radeon RX 4702K4K6K8K10KSE +/- 10.48, N = 39191.97MIN: 9165.951. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8f32s32Sapphire AMD Radeon RX 470120240360480600SE +/- 1.94, N = 3557.10MIN: 551.321. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32Sapphire AMD Radeon RX 47011002200330044005500SE +/- 4.22, N = 35195.07MIN: 5163.791. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32Sapphire AMD Radeon RX 470816243240SE +/- 0.15, N = 334.78MIN: 34.061. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32Sapphire AMD Radeon RX 4706001200180024003000SE +/- 7.83, N = 32733.69MIN: 2700.891. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32Sapphire AMD Radeon RX 470150300450600750SE +/- 1.82, N = 3716.97MIN: 711.861. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxSapphire AMD Radeon RX 4708K16K24K32K40KSE +/- 264.38, N = 3372961. firefox 66.0.5

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxSapphire AMD Radeon RX 47050100150200250SE +/- 0.33, N = 32491. firefox 66.0.5

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32Sapphire AMD Radeon RX 4702K4K6K8K10KSE +/- 3.16, N = 311381.63MIN: 11360.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxSapphire AMD Radeon RX 470150300450600750SE +/- 9.30, N = 12714.871. firefox 66.0.5

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxSapphire AMD Radeon RX 47050100150200250SE +/- 0.34, N = 3211.441. firefox 66.0.5

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxSapphire AMD Radeon RX 4703K6K9K12K15KSE +/- 194.36, N = 4132411. firefox 66.0.5

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxSapphire AMD Radeon RX 4701530456075SE +/- 6.39, N = 868.231. firefox 66.0.5

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxSapphire AMD Radeon RX 47020406080100SE +/- 1.07, N = 379.561. firefox 66.0.5

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxSapphire AMD Radeon RX 4701632486480SE +/- 0.03, N = 372.631. firefox 66.0.5

GeeXLab

GeeXLab is a cross-platform tool for 3D programming and demo creation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab 0.28.0Resolution: 1920 x 1080 - Test: GL2 AntTweakBarSapphire AMD Radeon RX 4707001400210028003500SE +/- 34.74, N = 33400.63

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.98.9Total TimeSapphire AMD Radeon RX 4701.2692.5383.8075.0766.345SE +/- 0.00, N = 35.641. (CC) gcc options: -m32 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode some sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterdav1d 0.3Video Input: Summer Nature 4KSapphire AMD Radeon RX 470816243240SE +/- 0.00, N = 334.031. (CC) gcc options: -pthread

OpenBenchmarking.orgSeconds, Fewer Is Betterdav1d 0.3Video Input: Summer Nature 1080pSapphire AMD Radeon RX 4703691215SE +/- 0.02, N = 311.711. (CC) gcc options: -pthread

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomSapphire AMD Radeon RX 4700.27680.55360.83041.10721.384SE +/- 0.00, N = 31.23

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarSapphire AMD Radeon RX 4700.5941.1881.7822.3762.97SE +/- 0.01, N = 32.64

Sapphire AMD Radeon RX 470

Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz), Audio: AMD Ellesmere, Monitor: ASUS PB278, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac

OS: Ubuntu 18.04, Kernel: 4.18.0-17-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 18.2.8 (LLVM 7.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Graphics Notes: GLAMOR
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization

Testing initiated at 13 May 2019 19:37 by user phoronix.