Ryzen 7 2700 oneDNN 2.0

AMD Ryzen 7 2700 Eight-Core testing with a Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS) and HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB on Ubuntu 19.10 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 2012101-HA-RYZEN727034
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
December 10 2020
  40 Minutes
2
December 10 2020
  43 Minutes
3
December 10 2020
  36 Minutes
Invert Hiding All Results Option
  40 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Ryzen 7 2700 oneDNN 2.0ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads)Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS)AMD 17h16GB120GB ADATA SU700HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GBAMD Caicos HDMI AudioDELL S2409WRealtek RTL8111/8168/8411 + Intel 3165Ubuntu 19.105.9.0-050900rc7daily20201004-generic (x86_64) 20201003GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.8 (LLVM 9.0.0)GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820bSecurity Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%104%107%111%115%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNND.B.s - u8s8f32 - CPUD.B.s - f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 1D - f32 - CPUIP Shapes 1D - u8s8f32 - CPUM.M.B.S.T - f32 - CPUR.N.N.T - f32 - CPUM.M.B.S.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUR.N.N.I - f32 - CPUR.N.N.T - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUD.B.s - f32 - CPUC.B.S.A - f32 - CPUR.N.N.I - bf16bf16bf16 - CPU

Ryzen 7 2700 oneDNN 2.0onednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPU1232.616038.302166.411405.161288137.116.044408201.1212.05364324.228213.8312.62174329.6824.243314.395923.74734336.8112.828510.25862.567688.384076.471355.124238199.886.043238212.3111.99054339.608222.4312.66134340.5724.190214.404723.75744335.5114.085510.52552.567058.319456.446525.121438159.586.087758165.8512.01974321.118188.9312.62104336.5924.186814.378923.73344338.2912.258410.3230OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU3210.58861.17721.76582.35442.943SE +/- 0.00426, N = 3SE +/- 0.00219, N = 3SE +/- 0.00622, N = 32.567052.567682.61603MIN: 2.38MIN: 2.38MIN: 2.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU321246810Min: 2.56 / Avg: 2.57 / Max: 2.58Min: 2.56 / Avg: 2.57 / Max: 2.57Min: 2.61 / Avg: 2.62 / Max: 2.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU132246810SE +/- 0.01659, N = 3SE +/- 0.02622, N = 3SE +/- 0.00291, N = 38.302168.319458.38407MIN: 8.09MIN: 8.14MIN: 8.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1323691215Min: 8.28 / Avg: 8.3 / Max: 8.33Min: 8.28 / Avg: 8.32 / Max: 8.37Min: 8.38 / Avg: 8.38 / Max: 8.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU132246810SE +/- 0.00691, N = 3SE +/- 0.01020, N = 3SE +/- 0.00778, N = 36.411406.446526.47135MIN: 6.24MIN: 6.26MIN: 6.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1323691215Min: 6.4 / Avg: 6.41 / Max: 6.42Min: 6.43 / Avg: 6.45 / Max: 6.46Min: 6.46 / Avg: 6.47 / Max: 6.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU3211.16132.32263.48394.64525.8065SE +/- 0.00382, N = 3SE +/- 0.00240, N = 3SE +/- 0.00286, N = 35.121435.124235.16128MIN: 4.9MIN: 5.01MIN: 5.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU321246810Min: 5.11 / Avg: 5.12 / Max: 5.13Min: 5.12 / Avg: 5.12 / Max: 5.13Min: 5.16 / Avg: 5.16 / Max: 5.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1322K4K6K8K10KSE +/- 13.50, N = 3SE +/- 28.96, N = 3SE +/- 27.53, N = 38137.118159.588199.88MIN: 8105.8MIN: 8099.23MIN: 8153.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU13214002800420056007000Min: 8117.68 / Avg: 8137.11 / Max: 8163.07Min: 8104.02 / Avg: 8159.58 / Max: 8201.55Min: 8159.36 / Avg: 8199.88 / Max: 8252.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU213246810SE +/- 0.01029, N = 3SE +/- 0.01033, N = 3SE +/- 0.02684, N = 36.043236.044406.08775MIN: 5.79MIN: 5.77MIN: 5.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU213246810Min: 6.02 / Avg: 6.04 / Max: 6.06Min: 6.03 / Avg: 6.04 / Max: 6.06Min: 6.05 / Avg: 6.09 / Max: 6.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU3122K4K6K8K10KSE +/- 15.62, N = 3SE +/- 15.02, N = 3SE +/- 24.03, N = 38165.858201.128212.31MIN: 8128.51MIN: 8176.44MIN: 8161.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU31214002800420056007000Min: 8139.05 / Avg: 8165.85 / Max: 8193.16Min: 8185.62 / Avg: 8201.12 / Max: 8231.15Min: 8170.63 / Avg: 8212.31 / Max: 8253.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2313691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.9912.0212.05MIN: 11.59MIN: 11.56MIN: 11.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU23148121620Min: 11.98 / Avg: 11.99 / Max: 12.02Min: 11.97 / Avg: 12.02 / Max: 12.05Min: 12.02 / Avg: 12.05 / Max: 12.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU3129001800270036004500SE +/- 17.01, N = 3SE +/- 5.49, N = 3SE +/- 6.18, N = 34321.114324.224339.60MIN: 4291.26MIN: 4308.63MIN: 4322.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU3128001600240032004000Min: 4299.06 / Avg: 4321.11 / Max: 4354.56Min: 4316.57 / Avg: 4324.22 / Max: 4334.88Min: 4327.34 / Avg: 4339.6 / Max: 43471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3122K4K6K8K10KSE +/- 33.99, N = 3SE +/- 16.68, N = 3SE +/- 19.08, N = 38188.938213.838222.43MIN: 8126.7MIN: 8172.42MIN: 8176.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU31214002800420056007000Min: 8135.8 / Avg: 8188.93 / Max: 8252.23Min: 8180.71 / Avg: 8213.83 / Max: 8233.92Min: 8184.97 / Avg: 8222.43 / Max: 8247.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU3123691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.6212.6212.66MIN: 12.46MIN: 12.38MIN: 12.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU31248121620Min: 12.59 / Avg: 12.62 / Max: 12.65Min: 12.61 / Avg: 12.62 / Max: 12.64Min: 12.64 / Avg: 12.66 / Max: 12.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1329001800270036004500SE +/- 15.08, N = 3SE +/- 18.03, N = 3SE +/- 9.76, N = 34329.684336.594340.57MIN: 4300.39MIN: 4309.62MIN: 4313.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1328001600240032004000Min: 4308.58 / Avg: 4329.68 / Max: 4358.89Min: 4317.89 / Avg: 4336.59 / Max: 4372.65Min: 4326.95 / Avg: 4340.57 / Max: 4359.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU321612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 324.1924.1924.24MIN: 23.43MIN: 23.15MIN: 23.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU321612182430Min: 24.17 / Avg: 24.19 / Max: 24.21Min: 24.16 / Avg: 24.19 / Max: 24.24Min: 24.19 / Avg: 24.24 / Max: 24.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU31248121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 314.3814.4014.40MIN: 14MIN: 13.97MIN: 13.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU31248121620Min: 14.37 / Avg: 14.38 / Max: 14.39Min: 14.33 / Avg: 14.4 / Max: 14.46Min: 14.37 / Avg: 14.4 / Max: 14.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU312612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 323.7323.7523.76MIN: 23.31MIN: 23.07MIN: 23.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU312612182430Min: 23.71 / Avg: 23.73 / Max: 23.75Min: 23.73 / Avg: 23.75 / Max: 23.76Min: 23.69 / Avg: 23.76 / Max: 23.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2139001800270036004500SE +/- 15.49, N = 3SE +/- 11.38, N = 3SE +/- 9.76, N = 34335.514336.814338.29MIN: 4295.9MIN: 4303.78MIN: 4311.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2138001600240032004000Min: 4304.68 / Avg: 4335.51 / Max: 4353.64Min: 4314.17 / Avg: 4336.81 / Max: 4350.19Min: 4318.85 / Avg: 4338.29 / Max: 4349.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU31248121620SE +/- 0.03, N = 3SE +/- 0.24, N = 15SE +/- 0.34, N = 1512.2612.8314.09MIN: 12.03MIN: 11.99MIN: 121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU31248121620Min: 12.21 / Avg: 12.26 / Max: 12.3Min: 12.19 / Avg: 12.83 / Max: 15.02Min: 12.19 / Avg: 14.09 / Max: 15.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1323691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 1310.2610.3210.53MIN: 10.09MIN: 10.12MIN: 101. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1323691215Min: 10.21 / Avg: 10.26 / Max: 10.31Min: 10.26 / Avg: 10.32 / Max: 10.36Min: 10.28 / Avg: 10.53 / Max: 12.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread