AMD A10 server

AMD A10-7870K Radeon R7 12 Compute Cores 4C+8G testing with a ASUS A88XM-E (2001 BIOS) and ASUS AMD Radeon R7 1GB 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 1910057-AS-AMDA10SER00
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD A10-7870K Radeon R7 12 Compute Cores 4C
October 04 2019
  20 Hours, 37 Minutes
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AMD A10-7870K Radeon R7 12 Compute Cores 4C

Processor: AMD A10-7870K Radeon R7 12 Compute Cores 4C+8G @ 3.90GHz (2 / 4 Threads), Motherboard: ASUS A88XM-E (2001 BIOS), Chipset: AMD 15h, Memory: 15360MB, Disk: 250GB Samsung SSD 850, Graphics: ASUS AMD Radeon R7 1GB, Audio: AMD Kaveri HDMI/DP, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 18.04, Kernel: 5.0.0-29-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: 1920x1080

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
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling

AMD A10 serverOpenBenchmarking.orgPhoronix Test SuiteAMD A10-7870K Radeon R7 12 Compute Cores 4C+8G @ 3.90GHz (2 / 4 Threads)ASUS A88XM-E (2001 BIOS)AMD 15h15360MB250GB Samsung SSD 850ASUS AMD Radeon R7 1GBAMD Kaveri HDMI/DPG237HLRealtek RTL8111/8168/8411Ubuntu 18.045.0.0-29-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 7.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionAMD A10 Server 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- l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling

AMD A10 serverlczero: BLASlczero: Randmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32pgbench: On-Disk - Normal Load - Read Onlypgbench: On-Disk - Normal Load - Read Writepgbench: On-Disk - Single Thread - Read Onlypgbench: Mostly RAM - Normal Load - Read Onlypgbench: On-Disk - Single Thread - Read Writepgbench: Buffer Test - Normal Load - Read OnlyAMD A10-7870K Radeon R7 12 Compute Cores 4C3.27160352306.82200.61873.783763.45247.0444371.5346665.1797.71146.745593.3723610440720.0721412.2337242.004445.7028219.202481.2010892.9715109.94501.172403.3722697.08163.6647493.36OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: BLASAMD A10-7870K Radeon R7 12 Compute Cores 4C0.73581.47162.20742.94323.679SE +/- 0.03, N = 33.271. (CXX) g++ options: -lpthread -lz

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: RandomAMD A10-7870K Radeon R7 12 Compute Cores 4C30K60K90K120K150KSE +/- 482.81, N = 31603521. (CXX) g++ options: -lpthread -lz

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C70140210280350SE +/- 2.36, N = 3306.82MIN: 221.21. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C4080120160200SE +/- 0.21, N = 3200.61MIN: 195.791. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C2004006008001000SE +/- 8.99, N = 15873.78MIN: 704.841. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C8001600240032004000SE +/- 58.86, N = 33763.45MIN: 2979.391. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C50100150200250SE +/- 0.13, N = 3247.04MIN: 243.561. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C10K20K30K40K50KSE +/- 14.58, N = 344371.53MIN: 44180.51. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C10K20K30K40K50KSE +/- 245.01, N = 346665.17MIN: 46328.91. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C20406080100SE +/- 0.15, N = 397.71MIN: 95.791. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C306090120150SE +/- 0.03, N = 3146.74MIN: 144.031. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C12002400360048006000SE +/- 1.36, N = 35593.37MIN: 5576.71. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C50K100K150K200K250KSE +/- 106.01, N = 3236104MIN: 2354631. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C9K18K27K36K45KSE +/- 11.88, N = 340720.07MIN: 40516.71. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C5K10K15K20K25KSE +/- 7.39, N = 321412.23MIN: 21383.71. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C8K16K24K32K40KSE +/- 4.71, N = 337242.00MIN: 36967.21. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C10002000300040005000SE +/- 0.60, N = 34445.70MIN: 4438.441. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C6K12K18K24K30KSE +/- 18.41, N = 328219.20MIN: 28151.81. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32AMD A10-7870K Radeon R7 12 Compute Cores 4C5001000150020002500SE +/- 3.92, N = 32481.20MIN: 2459.251. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32AMD A10-7870K Radeon R7 12 Compute Cores 4C2K4K6K8K10KSE +/- 4.33, N = 310892.97MIN: 10852.71. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

PostgreSQL pgbench

This is a simple benchmark of PostgreSQL using pgbench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: On-Disk - Test: Normal Load - Mode: Read OnlyAMD A10-7870K Radeon R7 12 Compute Cores 4C3K6K9K12K15KSE +/- 27.50, N = 315109.941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: On-Disk - Test: Normal Load - Mode: Read WriteAMD A10-7870K Radeon R7 12 Compute Cores 4C110220330440550SE +/- 0.77, N = 3501.171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: On-Disk - Test: Single Thread - Mode: Read OnlyAMD A10-7870K Radeon R7 12 Compute Cores 4C5001000150020002500SE +/- 6.84, N = 32403.371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Mostly RAM - Test: Normal Load - Mode: Read OnlyAMD A10-7870K Radeon R7 12 Compute Cores 4C5K10K15K20K25KSE +/- 102.41, N = 322697.081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: On-Disk - Test: Single Thread - Mode: Read WriteAMD A10-7870K Radeon R7 12 Compute Cores 4C4080120160200SE +/- 0.31, N = 3163.661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 12.0Scaling: Buffer Test - Test: Normal Load - Mode: Read OnlyAMD A10-7870K Radeon R7 12 Compute Cores 4C10K20K30K40K50KSE +/- 249.28, N = 347493.361. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm

AMD A10-7870K Radeon R7 12 Compute Cores 4C

Processor: AMD A10-7870K Radeon R7 12 Compute Cores 4C+8G @ 3.90GHz (2 / 4 Threads), Motherboard: ASUS A88XM-E (2001 BIOS), Chipset: AMD 15h, Memory: 15360MB, Disk: 250GB Samsung SSD 850, Graphics: ASUS AMD Radeon R7 1GB, Audio: AMD Kaveri HDMI/DP, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 18.04, Kernel: 5.0.0-29-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: 1920x1080

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
Security Notes: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling

Testing initiated at 4 October 2019 07:23 by user phoronix.