Xeon Platinum 8280 2P EOY

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 20.04 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 2012312-HA-XEONPLATI31
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 2 Tests
CPU Massive 2 Tests
Creator Workloads 3 Tests
Encoding 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 31 2020
  1 Hour, 14 Minutes
2
December 31 2020
  1 Hour, 25 Minutes
3
December 31 2020
  1 Hour, 22 Minutes
Invert Hiding All Results Option
  1 Hour, 21 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-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-objc-gc=auto --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

2

3

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 3.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Xeon Platinum 8280 2P EOYProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1232 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers378GB280GB INTEL SSDPED1D280GAllvmpipeVE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 20.045.4.0-18-generic (x86_64)GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.73.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits)GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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: intel_pstate powersave - CPU Microcode: 0x500002cSecurity Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

123Result OverviewPhoronix Test Suite100%102%103%105%oneDNNUnpacking FirefoxMonkey Audio EncodingCryptsetupWavPack Audio Encoding

Xeon Platinum 8280 2P EOYonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUcryptsetup: AES-XTS 256b Decryptiononednn: IP Shapes 1D - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUcryptsetup: Serpent-XTS 256b Encryptiononednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUcryptsetup: AES-XTS 256b Encryptiononednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUcryptsetup: AES-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: Twofish-XTS 256b Encryptiononednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUcryptsetup: PBKDF2-sha512onednn: Recurrent Neural Network Inference - f32 - CPUunpack-firefox: firefox-84.0.source.tar.xzonednn: Deconvolution Batch shapes_3d - f32 - CPUcryptsetup: Serpent-XTS 512b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 512b Decryptiononednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUencode-ape: WAV To APEonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUcryptsetup: Twofish-XTS 256b Decryptionencode-wavpack: WAV To WavPackonednn: Convolution Batch Shapes Auto - f32 - CPUcryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 512b Decryptioncryptsetup: PBKDF2-whirlpoolonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - f32 - CPU1230.3409631.469483290.51.44762559.521985.146571.468746.7999.6880.3532813268.70.2683421.350211.08803990.2812762.02768.3409.24.469310.4270503.191643.712961619839561.22921.9721.21611755.3741.8741.94.3798312.6683.669210.819691414.216.3373.93713411.7414.56877419.266633.218060.3310191.435813226.91.42314566.1531001.726572.124757.0990.1960.3484903224.40.2715611.360791.09268981.3852738.72749.1412.04.445430.4261363.197093.693711612408563.21121.9851.21178757.0741.9741.34.3892712.6953.662580.821168414.816.3333.94047411.7414.56874402.501113.121700.3325051.449243234.21.42534569.103987.129563.406758.0985.3940.3524763239.90.2707611.364111.08252989.1882751.72756.8412.04.441280.4287113.208373.697251619839563.79221.8981.21188757.5743.9742.94.3808812.6783.669790.819624414.316.3553.93649412.1414.96880422.540793.12760OpenBenchmarking.org

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1230.07670.15340.23010.30680.3835SE +/- 0.004431, N = 5SE +/- 0.005127, N = 3SE +/- 0.005082, N = 30.3409630.3310190.332505MIN: 0.3MIN: 0.29MIN: 0.31. (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: CPU12312345Min: 0.33 / Avg: 0.34 / Max: 0.35Min: 0.32 / Avg: 0.33 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.341. (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: CPU1230.33060.66120.99181.32241.653SE +/- 0.01106, N = 3SE +/- 0.00438, N = 3SE +/- 0.00639, N = 31.469481.435811.44924MIN: 1.35MIN: 1.33MIN: 1.341. (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: 1.45 / Avg: 1.47 / Max: 1.48Min: 1.43 / Avg: 1.44 / Max: 1.44Min: 1.44 / Avg: 1.45 / Max: 1.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption1237001400210028003500SE +/- 15.87, N = 3SE +/- 8.24, N = 3SE +/- 20.01, N = 33290.53226.93234.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption1236001200180024003000Min: 3264.8 / Avg: 3290.53 / Max: 3319.5Min: 3213 / Avg: 3226.87 / Max: 3241.5Min: 3205.7 / Avg: 3234.23 / Max: 3272.8

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: u8s8f32 - Engine: CPU1230.32570.65140.97711.30281.6285SE +/- 0.00900, N = 3SE +/- 0.01869, N = 4SE +/- 0.01578, N = 71.447621.423141.42534MIN: 1.2MIN: 1.18MIN: 1.21. (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: 1.44 / Avg: 1.45 / Max: 1.47Min: 1.37 / Avg: 1.42 / Max: 1.45Min: 1.34 / Avg: 1.43 / Max: 1.461. (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: CPU123120240360480600SE +/- 3.36, N = 3SE +/- 3.67, N = 3SE +/- 6.84, N = 15559.52566.15569.10MIN: 545.65MIN: 546.4MIN: 543.481. (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: u8s8f32 - Engine: CPU123100200300400500Min: 554.54 / Avg: 559.52 / Max: 565.91Min: 559.8 / Avg: 566.15 / Max: 572.51Min: 554.47 / Avg: 569.1 / Max: 661.571. (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: CPU1232004006008001000SE +/- 5.38, N = 3SE +/- 13.70, N = 4SE +/- 7.00, N = 3985.151001.73987.13MIN: 966.06MIN: 967.1MIN: 966.661. (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: CPU1232004006008001000Min: 977.42 / Avg: 985.15 / Max: 995.49Min: 981.63 / Avg: 1001.73 / Max: 1041.21Min: 976.02 / Avg: 987.13 / Max: 1000.071. (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: bf16bf16bf16 - Engine: CPU123120240360480600SE +/- 6.62, N = 6SE +/- 6.59, N = 15SE +/- 2.11, N = 3571.47572.12563.41MIN: 544.08MIN: 546MIN: 547.571. (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: CPU123100200300400500Min: 559.37 / Avg: 571.47 / Max: 602.84Min: 555.2 / Avg: 572.12 / Max: 644.51Min: 560.87 / Avg: 563.41 / Max: 567.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption123160320480640800SE +/- 10.30, N = 3SE +/- 0.44, N = 3SE +/- 0.38, N = 3746.7757.0758.0
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption123130260390520650Min: 726.2 / Avg: 746.73 / Max: 758.5Min: 756.3 / Avg: 756.97 / Max: 757.8Min: 757.2 / Avg: 757.97 / Max: 758.4

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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232004006008001000SE +/- 14.34, N = 4SE +/- 13.77, N = 3SE +/- 2.82, N = 3999.69990.20985.39MIN: 961.45MIN: 963.52MIN: 971.041. (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: CPU1232004006008001000Min: 978.95 / Avg: 999.69 / Max: 1041.2Min: 976.18 / Avg: 990.2 / Max: 1017.73Min: 982.5 / Avg: 985.39 / Max: 991.041. (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: CPU1230.07950.1590.23850.3180.3975SE +/- 0.002107, N = 3SE +/- 0.002395, N = 3SE +/- 0.001569, N = 30.3532810.3484900.352476MIN: 0.33MIN: 0.32MIN: 0.331. (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: CPU12312345Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption1237001400210028003500SE +/- 6.56, N = 3SE +/- 9.18, N = 3SE +/- 12.15, N = 33268.73224.43239.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption1236001200180024003000Min: 3256.7 / Avg: 3268.67 / Max: 3279.3Min: 3208.3 / Avg: 3224.43 / Max: 3240.1Min: 3221.4 / Avg: 3239.93 / Max: 3262.8

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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1230.06110.12220.18330.24440.3055SE +/- 0.002034, N = 15SE +/- 0.002249, N = 13SE +/- 0.004390, N = 30.2683420.2715610.270761MIN: 0.24MIN: 0.24MIN: 0.241. (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: CPU12312345Min: 0.26 / Avg: 0.27 / Max: 0.29Min: 0.26 / Avg: 0.27 / Max: 0.29Min: 0.26 / Avg: 0.27 / Max: 0.281. (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: CPU1230.30690.61380.92071.22761.5345SE +/- 0.00448, N = 3SE +/- 0.00304, N = 3SE +/- 0.00825, N = 31.350211.360791.36411MIN: 1.26MIN: 1.28MIN: 1.281. (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: 1.35 / Avg: 1.35 / Max: 1.36Min: 1.35 / Avg: 1.36 / Max: 1.37Min: 1.35 / Avg: 1.36 / Max: 1.381. (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: CPU1230.24590.49180.73770.98361.2295SE +/- 0.00375, N = 3SE +/- 0.00972, N = 3SE +/- 0.01050, N = 31.088031.092681.08252MIN: 0.77MIN: 0.79MIN: 0.771. (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: 1.08 / Avg: 1.09 / Max: 1.1Min: 1.08 / Avg: 1.09 / Max: 1.11Min: 1.07 / Avg: 1.08 / Max: 1.11. (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: CPU1232004006008001000SE +/- 1.54, N = 3SE +/- 1.61, N = 3SE +/- 8.73, N = 3990.28981.39989.19MIN: 968.85MIN: 967.43MIN: 970.41. (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: CPU1232004006008001000Min: 988.23 / Avg: 990.28 / Max: 993.31Min: 978.18 / Avg: 981.39 / Max: 983.19Min: 979.47 / Avg: 989.19 / Max: 1006.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption1236001200180024003000SE +/- 7.54, N = 3SE +/- 2.81, N = 3SE +/- 8.04, N = 32762.02738.72751.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption1235001000150020002500Min: 2747.4 / Avg: 2762 / Max: 2772.6Min: 2735.3 / Avg: 2738.73 / Max: 2744.3Min: 2739.5 / Avg: 2751.73 / Max: 2766.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption1236001200180024003000SE +/- 4.84, N = 3SE +/- 11.07, N = 3SE +/- 8.15, N = 32768.32749.12756.8
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption1235001000150020002500Min: 2758.7 / Avg: 2768.3 / Max: 2774.2Min: 2727.9 / Avg: 2749.07 / Max: 2765.3Min: 2741.4 / Avg: 2756.83 / Max: 2769.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12390180270360450SE +/- 2.47, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 3409.2412.0412.0
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12370140210280350Min: 404.3 / Avg: 409.23 / Max: 411.9Min: 412 / Avg: 412.03 / Max: 412.1Min: 411.6 / Avg: 412.03 / Max: 412.6

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: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU1231.00562.01123.01684.02245.028SE +/- 0.02944, N = 3SE +/- 0.00576, N = 3SE +/- 0.00209, N = 34.469314.445434.44128MIN: 4.39MIN: 4.39MIN: 4.391. (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: bf16bf16bf16 - Engine: CPU123246810Min: 4.43 / Avg: 4.47 / Max: 4.53Min: 4.44 / Avg: 4.45 / Max: 4.46Min: 4.44 / Avg: 4.44 / Max: 4.441. (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: CPU1230.09650.1930.28950.3860.4825SE +/- 0.000066, N = 3SE +/- 0.001852, N = 3SE +/- 0.001583, N = 30.4270500.4261360.428711MIN: 0.38MIN: 0.38MIN: 0.381. (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: CPU12312345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.42 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.431. (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: bf16bf16bf16 - Engine: CPU1230.72191.44382.16572.88763.6095SE +/- 0.01425, N = 3SE +/- 0.00690, N = 3SE +/- 0.01087, N = 33.191643.197093.20837MIN: 2.95MIN: 2.95MIN: 2.961. (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: bf16bf16bf16 - Engine: CPU123246810Min: 3.16 / Avg: 3.19 / Max: 3.21Min: 3.18 / Avg: 3.2 / Max: 3.21Min: 3.19 / Avg: 3.21 / Max: 3.231. (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: CPU1230.83541.67082.50623.34164.177SE +/- 0.01265, N = 3SE +/- 0.00759, N = 3SE +/- 0.00811, N = 33.712963.693713.69725MIN: 3.61MIN: 3.59MIN: 3.591. (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: CPU123246810Min: 3.7 / Avg: 3.71 / Max: 3.74Min: 3.68 / Avg: 3.69 / Max: 3.71Min: 3.69 / Avg: 3.7 / Max: 3.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123300K600K900K1200K1500KSE +/- 833.67, N = 3SE +/- 5764.33, N = 3SE +/- 833.67, N = 3161983916124081619839
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123300K600K900K1200K1500KMin: 1618172 / Avg: 1619839.33 / Max: 1620673Min: 1600879 / Avg: 1612407.67 / Max: 1618172Min: 1618172 / Avg: 1619839.33 / Max: 1620673

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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123120240360480600SE +/- 0.36, N = 3SE +/- 5.40, N = 3SE +/- 7.13, N = 3561.23563.21563.79MIN: 546.5MIN: 546.69MIN: 547.871. (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: f32 - Engine: CPU123100200300400500Min: 560.65 / Avg: 561.23 / Max: 561.89Min: 553.02 / Avg: 563.21 / Max: 571.38Min: 555.83 / Avg: 563.79 / Max: 578.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123510152025SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 421.9721.9921.90
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123510152025Min: 21.86 / Avg: 21.97 / Max: 22.03Min: 21.97 / Avg: 21.98 / Max: 22Min: 21.8 / Avg: 21.9 / Max: 21.96

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: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1230.27360.54720.82081.09441.368SE +/- 0.00032, N = 3SE +/- 0.00343, N = 3SE +/- 0.00123, N = 31.216111.211781.21188MIN: 1.16MIN: 1.16MIN: 1.161. (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: CPU123246810Min: 1.22 / Avg: 1.22 / Max: 1.22Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 1.21 / Avg: 1.21 / Max: 1.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption123160320480640800SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.37, N = 3755.3757.0757.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption123130260390520650Min: 754.9 / Avg: 755.3 / Max: 755.5Min: 756.3 / Avg: 757 / Max: 757.5Min: 757.1 / Avg: 757.47 / Max: 758.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption123160320480640800SE +/- 0.64, N = 3SE +/- 0.75, N = 3SE +/- 0.23, N = 3741.8741.9743.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption123130260390520650Min: 740.8 / Avg: 741.8 / Max: 743Min: 740.6 / Avg: 741.87 / Max: 743.2Min: 743.5 / Avg: 743.9 / Max: 744.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption123160320480640800SE +/- 1.63, N = 3SE +/- 1.21, N = 3SE +/- 0.24, N = 3741.9741.3742.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption123130260390520650Min: 738.6 / Avg: 741.87 / Max: 743.6Min: 739 / Avg: 741.3 / Max: 743.1Min: 742.6 / Avg: 742.93 / Max: 743.4

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: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU1230.98761.97522.96283.95044.938SE +/- 0.00053, N = 3SE +/- 0.00778, N = 3SE +/- 0.00726, N = 34.379834.389274.38088MIN: 4.24MIN: 4.25MIN: 4.241. (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: bf16bf16bf16 - Engine: CPU123246810Min: 4.38 / Avg: 4.38 / Max: 4.38Min: 4.37 / Avg: 4.39 / Max: 4.4Min: 4.37 / Avg: 4.38 / Max: 4.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 512.6712.7012.681. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620Min: 12.64 / Avg: 12.67 / Max: 12.72Min: 12.64 / Avg: 12.7 / Max: 12.81Min: 12.62 / Avg: 12.68 / Max: 12.741. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU1230.82571.65142.47713.30284.1285SE +/- 0.00587, N = 3SE +/- 0.00570, N = 3SE +/- 0.00259, N = 33.669213.662583.66979MIN: 3.42MIN: 3.41MIN: 3.411. (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: bf16bf16bf16 - Engine: CPU123246810Min: 3.66 / Avg: 3.67 / Max: 3.68Min: 3.65 / Avg: 3.66 / Max: 3.67Min: 3.67 / Avg: 3.67 / Max: 3.671. (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: bf16bf16bf16 - Engine: CPU1230.18480.36960.55440.73920.924SE +/- 0.004684, N = 3SE +/- 0.004450, N = 3SE +/- 0.004830, N = 30.8196910.8211680.819624MIN: 0.76MIN: 0.76MIN: 0.761. (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: bf16bf16bf16 - Engine: CPU123246810Min: 0.81 / Avg: 0.82 / Max: 0.83Min: 0.81 / Avg: 0.82 / Max: 0.83Min: 0.81 / Avg: 0.82 / Max: 0.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12390180270360450SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 3414.2414.8414.3
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12370140210280350Min: 413.7 / Avg: 414.17 / Max: 414.9Min: 414.3 / Avg: 414.83 / Max: 415.1Min: 413.8 / Avg: 414.33 / Max: 414.8

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 WavPack12348121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 516.3416.3316.361. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 16.33 / Avg: 16.34 / Max: 16.34Min: 16.33 / Avg: 16.33 / Max: 16.34Min: 16.33 / Avg: 16.36 / Max: 16.461. (CXX) g++ options: -rdynamic

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1230.88661.77322.65983.54644.433SE +/- 0.01202, N = 3SE +/- 0.01079, N = 3SE +/- 0.00777, N = 33.937133.940473.93649MIN: 3.85MIN: 3.85MIN: 3.851. (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: CPU123246810Min: 3.92 / Avg: 3.94 / Max: 3.96Min: 3.93 / Avg: 3.94 / Max: 3.96Min: 3.93 / Avg: 3.94 / Max: 3.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12390180270360450SE +/- 0.34, N = 3SE +/- 0.26, N = 3SE +/- 0.22, N = 3411.7411.7412.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12370140210280350Min: 411.3 / Avg: 411.73 / Max: 412.4Min: 411.3 / Avg: 411.7 / Max: 412.2Min: 411.8 / Avg: 412.07 / Max: 412.5

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12390180270360450SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 0.21, N = 3414.5414.5414.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12370140210280350Min: 414.4 / Avg: 414.5 / Max: 414.6Min: 413.7 / Avg: 414.47 / Max: 415Min: 414.6 / Avg: 414.9 / Max: 415.3

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123150K300K450K600K750KSE +/- 300.33, N = 3SE +/- 300.33, N = 3SE +/- 521.35, N = 3687741687440688042
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123120K240K360K480K600KMin: 687140 / Avg: 687740.67 / Max: 688041Min: 687140 / Avg: 687440.33 / Max: 688041Min: 687140 / Avg: 688042.33 / Max: 688946

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 3D - Data Type: bf16bf16bf16 - Engine: CPU1233691215SE +/- 4.72468, N = 12SE +/- 0.06236, N = 15SE +/- 0.06868, N = 159.266632.501112.54079MIN: 2.04MIN: 2.05MIN: 2.051. (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: bf16bf16bf16 - Engine: CPU1233691215Min: 2.2 / Avg: 9.27 / Max: 51.67Min: 2.2 / Avg: 2.5 / Max: 2.96Min: 2.22 / Avg: 2.54 / Max: 2.991. (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: CPU1230.72411.44822.17232.89643.6205SE +/- 0.06230, N = 15SE +/- 0.00890, N = 3SE +/- 0.00811, N = 33.218063.121703.12760MIN: 3.04MIN: 3.04MIN: 3.051. (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: CPU123246810Min: 3.12 / Avg: 3.22 / Max: 3.94Min: 3.1 / Avg: 3.12 / Max: 3.13Min: 3.11 / Avg: 3.13 / Max: 3.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

1

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 31 December 2020 14:37 by user phoronix.

2

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 31 December 2020 15:43 by user phoronix.

3

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 3.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 31 December 2020 17:03 by user phoronix.