3800XT Xmas

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 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 2012220-HA-3800XTXMA77
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

Limit displaying results to tests within:

Audio Encoding 3 Tests
Timed Code Compilation 2 Tests
CPU Massive 2 Tests
Creator Workloads 4 Tests
Encoding 3 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
Programmer / Developer System Benchmarks 4 Tests
Server 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
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 22 2020
  1 Hour, 48 Minutes
2
December 22 2020
  2 Hours, 9 Minutes
3
December 22 2020
  1 Hour, 47 Minutes
Invert Hiding All Results Option
  1 Hour, 55 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):

1

Compiler Notes: --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++ --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 (Boost: Enabled) - CPU Microcode: 0x8701021
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

2

3

Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211

OS: Debian 10, Kernel: 4.19.0-13-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768

3800XT XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS)AMD Starship/Matisse16GB128GB INTEL SSDPEKKW128G7Sapphire AMD Radeon HD 4650AMD RV710/730Intel I211Debian 104.19.0-13-amd64 (x86_64)X Server 1.20.4modesetting 1.20.4GCC 8.3.0ext41024x768OpenBenchmarking.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++ --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 Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%101%101%102%103%Opus Codec EncodingWavPack Audio EncodingCLOMPNode.js V8 Web Tooling BenchmarkTimed Eigen CompilationBuild2simdjsonNCNNMonkey Audio EncodingoneDNN

3800XT Xmasclomp: Static OMP Speedupsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUbuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodenode-web-tooling: ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mencode-wavpack: WAV To WavPack12324.60.790.520.870.914.487388.511872.543432.2479422.49274.893386.4608419.94326.082095.043693738.792559.413737.842539.974.885533748.942545.132.7701691.94753.63610.8806.67211.6717.715.654.756.534.557.712.2015.8065.0117.0613.3529.8927.5522.3416.9111.61324.30.770.520.870.934.489068.628042.516382.2469022.36004.922446.5210320.00536.208205.057673744.572599.003729.252548.964.928363760.662589.722.8030792.30553.60810.9016.84311.8517.965.754.896.754.597.602.2015.9064.9517.3513.5929.4027.0222.4717.1111.86324.10.770.500.870.944.483078.526282.533492.2131122.43694.923006.5431719.99626.117175.038733746.852562.583754.882549.094.984573729.322535.922.7923591.55554.14310.9376.86811.7717.755.744.826.564.597.592.2115.8865.7317.1513.7229.5627.5022.7017.1511.863OpenBenchmarking.org

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123612182430SE +/- 0.06, N = 3SE +/- 0.24, N = 9SE +/- 0.23, N = 324.624.324.11. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123612182430Min: 24.5 / Avg: 24.6 / Max: 24.7Min: 22.5 / Avg: 24.28 / Max: 24.9Min: 23.7 / Avg: 24.13 / Max: 24.51. (CC) gcc options: -fopenmp -O3 -lm

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.17780.35560.53340.71120.889SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.790.770.771. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.78 / Avg: 0.79 / Max: 0.81Min: 0.76 / Avg: 0.77 / Max: 0.78Min: 0.76 / Avg: 0.77 / Max: 0.781. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.1170.2340.3510.4680.585SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.520.501. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom123246810Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.5 / Avg: 0.5 / Max: 0.511. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.19580.39160.58740.78320.979SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.870.870.871. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.86 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 0.86 / Avg: 0.87 / Max: 0.881. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.21150.4230.63450.8461.0575SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.910.930.941. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.91 / Avg: 0.91 / Max: 0.92Min: 0.92 / Avg: 0.93 / Max: 0.94Min: 0.94 / Avg: 0.94 / Max: 0.941. (CXX) g++ options: -O3 -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.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.012.023.034.045.05SE +/- 0.00749, N = 3SE +/- 0.00920, N = 3SE +/- 0.00136, N = 34.487384.489064.48307MIN: 4.37MIN: 4.36MIN: 4.381. (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: CPU123246810Min: 4.47 / Avg: 4.49 / Max: 4.5Min: 4.48 / Avg: 4.49 / Max: 4.51Min: 4.48 / Avg: 4.48 / Max: 4.491. (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: CPU123246810SE +/- 0.00466, N = 3SE +/- 0.09156, N = 3SE +/- 0.00758, N = 38.511878.628048.52628MIN: 8.22MIN: 8.19MIN: 8.241. (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: CPU1233691215Min: 8.5 / Avg: 8.51 / Max: 8.52Min: 8.54 / Avg: 8.63 / Max: 8.81Min: 8.51 / Avg: 8.53 / Max: 8.541. (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: CPU1230.57231.14461.71692.28922.8615SE +/- 0.03478, N = 3SE +/- 0.01254, N = 3SE +/- 0.02535, N = 32.543432.516382.53349MIN: 2.46MIN: 2.46MIN: 2.471. (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: CPU123246810Min: 2.51 / Avg: 2.54 / Max: 2.61Min: 2.5 / Avg: 2.52 / Max: 2.54Min: 2.51 / Avg: 2.53 / Max: 2.581. (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: CPU1230.50581.01161.51742.02322.529SE +/- 0.03602, N = 3SE +/- 0.03512, N = 3SE +/- 0.00052, N = 32.247942.246902.21311MIN: 2.1MIN: 2.15MIN: 2.151. (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: CPU123246810Min: 2.21 / Avg: 2.25 / Max: 2.32Min: 2.21 / Avg: 2.25 / Max: 2.32Min: 2.21 / Avg: 2.21 / Max: 2.211. (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: CPU123510152025SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 322.4922.3622.44MIN: 22.02MIN: 22.04MIN: 21.941. (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: CPU123510152025Min: 22.27 / Avg: 22.49 / Max: 22.93Min: 22.27 / Avg: 22.36 / Max: 22.49Min: 22.25 / Avg: 22.44 / Max: 22.771. (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: CPU1231.10772.21543.32314.43085.5385SE +/- 0.01359, N = 3SE +/- 0.00927, N = 3SE +/- 0.03107, N = 34.893384.922444.92300MIN: 4.77MIN: 4.8MIN: 4.81. (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: CPU123246810Min: 4.87 / Avg: 4.89 / Max: 4.91Min: 4.9 / Avg: 4.92 / Max: 4.93Min: 4.88 / Avg: 4.92 / Max: 4.981. (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: CPU123246810SE +/- 0.00198, N = 3SE +/- 0.05128, N = 3SE +/- 0.06875, N = 36.460846.521036.54317MIN: 6.26MIN: 6.26MIN: 6.291. (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: CPU1233691215Min: 6.46 / Avg: 6.46 / Max: 6.46Min: 6.47 / Avg: 6.52 / Max: 6.62Min: 6.47 / Avg: 6.54 / Max: 6.681. (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: CPU123510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 319.9420.0120.00MIN: 19.55MIN: 19.49MIN: 19.581. (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: CPU123510152025Min: 19.88 / Avg: 19.94 / Max: 20.05Min: 19.88 / Avg: 20.01 / Max: 20.07Min: 19.88 / Avg: 20 / Max: 20.071. (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: CPU123246810SE +/- 0.01646, N = 3SE +/- 0.02186, N = 3SE +/- 0.05490, N = 36.082096.208206.11717MIN: 5.82MIN: 5.92MIN: 5.821. (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: CPU123246810Min: 6.05 / Avg: 6.08 / Max: 6.11Min: 6.18 / Avg: 6.21 / Max: 6.25Min: 6.04 / Avg: 6.12 / Max: 6.221. (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: CPU1231.1382.2763.4144.5525.69SE +/- 0.01222, N = 3SE +/- 0.00496, N = 3SE +/- 0.01014, N = 35.043695.057675.03873MIN: 4.89MIN: 4.87MIN: 4.881. (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: CPU123246810Min: 5.02 / Avg: 5.04 / Max: 5.06Min: 5.05 / Avg: 5.06 / Max: 5.06Min: 5.03 / Avg: 5.04 / Max: 5.061. (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: CPU1238001600240032004000SE +/- 16.31, N = 3SE +/- 7.38, N = 3SE +/- 19.25, N = 33738.793744.573746.85MIN: 3697.6MIN: 3709.08MIN: 3689.71. (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: CPU1237001400210028003500Min: 3721.43 / Avg: 3738.79 / Max: 3771.38Min: 3729.97 / Avg: 3744.57 / Max: 3753.79Min: 3720.45 / Avg: 3746.85 / Max: 3784.331. (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: CPU1236001200180024003000SE +/- 21.19, N = 3SE +/- 16.17, N = 3SE +/- 18.04, N = 32559.412599.002562.58MIN: 2519.59MIN: 2537.71MIN: 2513.451. (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: CPU1235001000150020002500Min: 2526.96 / Avg: 2559.41 / Max: 2599.24Min: 2569.79 / Avg: 2599 / Max: 2625.61Min: 2526.81 / Avg: 2562.58 / Max: 2584.531. (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: CPU1238001600240032004000SE +/- 11.79, N = 3SE +/- 7.73, N = 3SE +/- 1.39, N = 33737.843729.253754.88MIN: 3715.9MIN: 3691.59MIN: 3710.361. (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: CPU1237001400210028003500Min: 3722.97 / Avg: 3737.84 / Max: 3761.12Min: 3716.73 / Avg: 3729.25 / Max: 3743.37Min: 3752.48 / Avg: 3754.88 / Max: 3757.311. (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: CPU1235001000150020002500SE +/- 10.45, N = 3SE +/- 18.64, N = 3SE +/- 16.36, N = 32539.972548.962549.09MIN: 2503.75MIN: 2516.55MIN: 2510.51. (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: CPU123400800120016002000Min: 2521.03 / Avg: 2539.97 / Max: 2557.09Min: 2528.42 / Avg: 2548.96 / Max: 2586.18Min: 2518.04 / Avg: 2549.09 / Max: 2573.551. (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: CPU1231.12152.2433.36454.4865.6075SE +/- 0.00771, N = 3SE +/- 0.02985, N = 3SE +/- 0.06118, N = 34.885534.928364.98457MIN: 4.71MIN: 4.62MIN: 4.581. (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: CPU123246810Min: 4.87 / Avg: 4.89 / Max: 4.9Min: 4.89 / Avg: 4.93 / Max: 4.99Min: 4.88 / Avg: 4.98 / Max: 5.091. (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: CPU1238001600240032004000SE +/- 15.88, N = 3SE +/- 20.09, N = 3SE +/- 16.79, N = 33748.943760.663729.32MIN: 3715.22MIN: 3711.31MIN: 3692.621. (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: CPU1237001400210028003500Min: 3722.09 / Avg: 3748.94 / Max: 3777.05Min: 3721.79 / Avg: 3760.66 / Max: 3788.88Min: 3707.57 / Avg: 3729.32 / Max: 3762.351. (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: CPU1236001200180024003000SE +/- 16.39, N = 3SE +/- 34.23, N = 3SE +/- 3.65, N = 32545.132589.722535.92MIN: 2520.36MIN: 2517.27MIN: 2518.961. (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: CPU1235001000150020002500Min: 2527 / Avg: 2545.13 / Max: 2577.85Min: 2527.94 / Avg: 2589.72 / Max: 2646.16Min: 2528.64 / Avg: 2535.92 / Max: 2540.061. (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: u8s8f32 - Engine: CPU1230.63071.26141.89212.52283.1535SE +/- 0.00210, N = 3SE +/- 0.02928, N = 3SE +/- 0.01553, N = 32.770162.803072.79235MIN: 2.64MIN: 2.66MIN: 2.671. (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: CPU123246810Min: 2.77 / Avg: 2.77 / Max: 2.77Min: 2.77 / Avg: 2.8 / Max: 2.86Min: 2.78 / Avg: 2.79 / Max: 2.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12320406080100SE +/- 1.24, N = 4SE +/- 0.97, N = 15SE +/- 0.95, N = 391.9592.3191.56
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12320406080100Min: 88.35 / Avg: 91.95 / Max: 93.81Min: 87.68 / Avg: 92.3 / Max: 101.81Min: 90.31 / Avg: 91.56 / Max: 93.42

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 353.6453.6154.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231122334455Min: 53.52 / Avg: 53.64 / Max: 53.8Min: 53.46 / Avg: 53.61 / Max: 53.69Min: 53.82 / Avg: 54.14 / Max: 54.69

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 510.8810.9010.941. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215Min: 10.84 / Avg: 10.88 / Max: 11Min: 10.86 / Avg: 10.9 / Max: 10.95Min: 10.92 / Avg: 10.94 / Max: 10.971. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode123246810SE +/- 0.051, N = 5SE +/- 0.002, N = 5SE +/- 0.002, N = 56.6726.8436.8681. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 6.62 / Avg: 6.67 / Max: 6.88Min: 6.84 / Avg: 6.84 / Max: 6.85Min: 6.86 / Avg: 6.87 / Max: 6.871. (CXX) g++ options: -fvisibility=hidden -logg -lm

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 311.6711.8511.771. Nodejs v10.21.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 11.53 / Avg: 11.67 / Max: 11.82Min: 11.78 / Avg: 11.85 / Max: 11.89Min: 11.65 / Avg: 11.77 / Max: 11.951. Nodejs v10.21.0

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.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet12348121620SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 317.7117.9617.75MIN: 17.21 / MAX: 37.89MIN: 17.32 / MAX: 22.66MIN: 17.4 / MAX: 18.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123510152025Min: 17.48 / Avg: 17.71 / Max: 18Min: 17.59 / Avg: 17.96 / Max: 18.51Min: 17.59 / Avg: 17.75 / Max: 17.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21231.29382.58763.88145.17526.469SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.655.755.74MIN: 5.5 / MAX: 5.81MIN: 5.67 / MAX: 8.44MIN: 5.68 / MAX: 5.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.57 / Avg: 5.65 / Max: 5.73Min: 5.73 / Avg: 5.75 / Max: 5.77Min: 5.73 / Avg: 5.74 / Max: 5.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31231.10032.20063.30094.40125.5015SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 34.754.894.82MIN: 4.65 / MAX: 4.95MIN: 4.76 / MAX: 9.52MIN: 4.75 / MAX: 4.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.68 / Avg: 4.75 / Max: 4.81Min: 4.82 / Avg: 4.89 / Max: 5.02Min: 4.8 / Avg: 4.82 / Max: 4.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 36.536.756.56MIN: 6.43 / MAX: 6.87MIN: 6.47 / MAX: 11.37MIN: 6.47 / MAX: 6.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215Min: 6.49 / Avg: 6.53 / Max: 6.56Min: 6.52 / Avg: 6.75 / Max: 7.18Min: 6.53 / Avg: 6.56 / Max: 6.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1231.03282.06563.09844.13125.164SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.554.594.59MIN: 4.48 / MAX: 4.77MIN: 4.52 / MAX: 4.79MIN: 4.54 / MAX: 4.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810Min: 4.52 / Avg: 4.55 / Max: 4.58Min: 4.57 / Avg: 4.59 / Max: 4.64Min: 4.58 / Avg: 4.59 / Max: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 37.717.607.59MIN: 7.32 / MAX: 12.06MIN: 7.5 / MAX: 7.99MIN: 7.52 / MAX: 7.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215Min: 7.47 / Avg: 7.71 / Max: 8.07Min: 7.56 / Avg: 7.6 / Max: 7.62Min: 7.58 / Avg: 7.59 / Max: 7.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.49730.99461.49191.98922.4865SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.202.202.21MIN: 2.17 / MAX: 2.24MIN: 2.18 / MAX: 2.23MIN: 2.19 / MAX: 2.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 2.19 / Avg: 2.2 / Max: 2.22Min: 2.2 / Avg: 2.2 / Max: 2.21Min: 2.21 / Avg: 2.21 / Max: 2.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 315.8015.9015.88MIN: 15.55 / MAX: 17.96MIN: 15.65 / MAX: 16.3MIN: 15.59 / MAX: 16.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620Min: 15.67 / Avg: 15.8 / Max: 15.95Min: 15.78 / Avg: 15.9 / Max: 16.14Min: 15.73 / Avg: 15.88 / Max: 16.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231530456075SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.76, N = 365.0164.9565.73MIN: 64.47 / MAX: 75.95MIN: 64.42 / MAX: 67.23MIN: 64.66 / MAX: 94.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231326395265Min: 64.76 / Avg: 65.01 / Max: 65.5Min: 64.72 / Avg: 64.95 / Max: 65.08Min: 64.95 / Avg: 65.73 / Max: 67.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 317.0617.3517.15MIN: 16.88 / MAX: 17.3MIN: 16.91 / MAX: 22MIN: 16.88 / MAX: 17.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620Min: 17.01 / Avg: 17.06 / Max: 17.1Min: 17.08 / Avg: 17.35 / Max: 17.68Min: 16.99 / Avg: 17.15 / Max: 17.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet12348121620SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 313.3513.5913.72MIN: 13.15 / MAX: 14.36MIN: 13.2 / MAX: 21.81MIN: 13.3 / MAX: 18.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet12348121620Min: 13.27 / Avg: 13.35 / Max: 13.39Min: 13.37 / Avg: 13.59 / Max: 13.95Min: 13.42 / Avg: 13.72 / Max: 14.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123714212835SE +/- 0.48, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 329.8929.4029.56MIN: 29.04 / MAX: 36.56MIN: 28.96 / MAX: 31.7MIN: 29.23 / MAX: 29.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123714212835Min: 29.23 / Avg: 29.89 / Max: 30.81Min: 29.14 / Avg: 29.4 / Max: 29.78Min: 29.35 / Avg: 29.56 / Max: 29.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123612182430SE +/- 0.45, N = 3SE +/- 0.37, N = 3SE +/- 0.41, N = 327.5527.0227.50MIN: 26.59 / MAX: 33.15MIN: 26.54 / MAX: 28.2MIN: 26.6 / MAX: 28.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123612182430Min: 26.72 / Avg: 27.55 / Max: 28.27Min: 26.65 / Avg: 27.02 / Max: 27.77Min: 26.7 / Avg: 27.5 / Max: 281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123510152025SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 322.3422.4722.70MIN: 22.05 / MAX: 25.42MIN: 22.25 / MAX: 22.78MIN: 22.29 / MAX: 27.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123510152025Min: 22.2 / Avg: 22.34 / Max: 22.46Min: 22.43 / Avg: 22.47 / Max: 22.49Min: 22.43 / Avg: 22.7 / Max: 23.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.9117.1117.15MIN: 16.65 / MAX: 18.74MIN: 16.88 / MAX: 18.83MIN: 16.99 / MAX: 17.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620Min: 16.78 / Avg: 16.91 / Max: 17.1Min: 17.09 / Avg: 17.11 / Max: 17.13Min: 17.14 / Avg: 17.15 / Max: 17.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack1233691215SE +/- 0.04, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 511.6111.8611.861. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack1233691215Min: 11.52 / Avg: 11.61 / Max: 11.71Min: 11.85 / Avg: 11.86 / Max: 11.88Min: 11.83 / Avg: 11.86 / Max: 11.921. (CXX) g++ options: -rdynamic

1

Compiler Notes: --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++ --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 (Boost: Enabled) - CPU Microcode: 0x8701021
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 22 December 2020 13:30 by user phoronix.

2

Compiler Notes: --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++ --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 (Boost: Enabled) - CPU Microcode: 0x8701021
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 22 December 2020 14:44 by user phoronix.

3

Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211

OS: Debian 10, Kernel: 4.19.0-13-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768

Compiler Notes: --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++ --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 (Boost: Enabled) - CPU Microcode: 0x8701021
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 22 December 2020 16:19 by user phoronix.