eMAG

ARMv8 Cortex-A72 testing with a SolidRun CEX7 (EDK II BIOS) and MSI NVIDIA GeForce GT 1030 on Fedora 33 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 2102210-FI-2012272NE18
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Audio Encoding 2 Tests
AV1 2 Tests
Chess Test Suite 3 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 7 Tests
Creator Workloads 7 Tests
Encoding 5 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 8 Tests
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Video Encoding 3 Tests

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1
December 26 2020
  6 Hours, 4 Minutes
2
December 27 2020
  6 Hours, 55 Minutes
3
December 27 2020
  4 Hours, 25 Minutes
4
December 27 2020
  1 Hour, 21 Minutes
HoneyComb LX2K
February 20 2021
  5 Hours, 39 Minutes
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  4 Hours, 53 Minutes

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1

Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq ondemand
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected

2

3

4

Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210

OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

HoneyComb LX2K

Processor: ARMv8 Cortex-A72 (16 Cores), Motherboard: SolidRun CEX7 (EDK II BIOS), Memory: 32GB, Disk: 128GB Generic + 8GB SL08G + 63GB DF4064, Graphics: MSI NVIDIA GeForce GT 1030, Audio: NVIDIA GP108 HD Audio

OS: Fedora 33, Kernel: 5.10.10-00042-gbfa806f5daa5-dirty (aarch64), Display Server: X Server 1.20.10, Compiler: GCC 10.2.1 20201125 + Clang 11.0.0 + CUDA 11.2, File-System: btrfs

Compiler Notes: --build=aarch64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu
Python Notes: Python 3.9.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Branch predictor hardening + srbds: Not affected + tsx_async_abort: Not affected

eMAGProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkAudioOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution1234HoneyComb LX2KAmpere eMAG ARMv8 @ 3.00GHz (32 Cores)AmpereComputing OSPREY (4.8.19 BIOS)Applied Micro Circuits X-Gene126GB256GB Samsung SSD 860ASPEEDVE228Intel I210Ubuntu 20.045.7.0-050700-generic (aarch64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41920x1080ARMv8 Cortex-A72 (16 Cores)SolidRun CEX7 (EDK II BIOS)32GB128GB Generic + 8GB SL08G + 63GB DF4064MSI NVIDIA GeForce GT 1030NVIDIA GP108 HD AudioFedora 335.10.10-00042-gbfa806f5daa5-dirty (aarch64)X Server 1.20.10GCC 10.2.1 20201125 + Clang 11.0.0 + CUDA 11.2btrfsOpenBenchmarking.orgCompiler Details- 1: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - 2: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - 3: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - 4: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - HoneyComb LX2K: --build=aarch64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu Processor Details- 1, 2, 3, 4: Scaling Governor: cppc_cpufreq ondemandPython Details- 1: Python 3.8.2- 2: Python 3.8.2- 3: Python 3.8.2- 4: Python 3.8.2- HoneyComb LX2K: Python 3.9.1Security Details- 1: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected- 2: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected- 3: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected- 4: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected- HoneyComb LX2K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Branch predictor hardening + srbds: Not affected + tsx_async_abort: Not affected

1234HoneyComb LX2KLogarithmic Result OverviewPhoronix Test SuiteCLOMPTimed MAFFT AlignmentoneDNNsimdjsonTSCP

eMAGnumpy: onednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUavifenc: 0onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUbuild-eigen: Time To Compilerav1e: 5avifenc: 2rav1e: 6rav1e: 1stockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthrav1e: 10espeak: Text-To-Speech Synthesisencode-ape: WAV To APEonednn: Deconvolution Batch shapes_1d - f32 - CPUsimdjson: Kostyaencode-opus: WAV To Opus Encodeclomp: Static OMP Speedupsimdjson: LargeRandonednn: IP Shapes 1D - f32 - CPUsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Shapes 3D - f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAonednn: Convolution Batch Shapes Auto - f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondavifenc: 8avifenc: 10onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUx264: H.264 Video Encodingonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUtscp: AI Chess Performanceonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU1234HoneyComb LX2K91.6530113.831838.217700.429827.8404.73717140.116255.9357.4740.188250.1650.2230.08415691469330379620.42587.83196.130191.8370.4848.3087.10.2329.01480.550.5636.614819.817623.682535.64193.4725385397.37036322.30221.883184.79632.13183.91760.3671418.330113.020515903114.06691.8630971.030600.517313.531520.3403.85016556.716777.0357.1400.187250.7050.2210.08415417127331357670.41984.90239.919194.6200.4848.2667.20.2333.22440.550.5638.370621.007722.800835.34498.2804385035.20746622.33221.832185.96532.67184.87763.4163421.221112.310515903113.51130446.531978.216864.330673.717065.516436.80.1870.2220.084156176070.420173.5390.487.00.2332.28400.550.5638.494420.484722.847036.35576.3515385080.514289185.16232.78183.39355.9390424.641112.550515710113.11230770.0173.0500.487.20.2330.89250.550.5724.446835.99984.3690183.153183.13759.7828419.392112.924515709112.61397.0974589.374820.538360.174962.7485.90838288.238077.3315.8970.186310.0320.2240.0819514457164591280.44584.42737.002620.7570.6137.7351.60.2853.32120.70.7146.007826.146621.512725.173122.323193571.80886424.46023.183220.11033.56129.050118.20697.1388192.123510928196.134OpenBenchmarking.org

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12HoneyComb LX2K20406080100SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.62, N = 391.6591.8697.09

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: u8s8f32 - Engine: CPU123HoneyComb LX2K16K32K48K64K80KSE +/- 165.59, N = 3SE +/- 500.69, N = 12SE +/- 588.64, N = 12SE +/- 201.98, N = 330113.830971.030446.574589.3MIN: 24215.3MIN: 23442.3MIN: 23892.7-O2 - MIN: 74079.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1234HoneyComb LX2K16K32K48K64K80KSE +/- 1283.37, N = 9SE +/- 724.02, N = 10SE +/- 171.48, N = 3SE +/- 405.43, N = 12SE +/- 258.40, N = 331838.230600.531978.230770.074820.5MIN: 23896.8MIN: 23693.3MIN: 25646MIN: 24555.1-O2 - MIN: 74172.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123HoneyComb LX2K8K16K24K32K40KSE +/- 343.55, N = 11SE +/- 395.99, N = 12SE +/- 324.82, N = 12SE +/- 219.25, N = 317700.417313.516864.338360.1MIN: 13035MIN: 12871.9MIN: 12759.4-O2 - MIN: 37645.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU123HoneyComb LX2K16K32K48K64K80KSE +/- 438.76, N = 12SE +/- 470.00, N = 3SE +/- 360.00, N = 3SE +/- 348.88, N = 329827.831520.330673.774962.7MIN: 23657MIN: 24350.2MIN: 24396.5-O2 - MIN: 74064.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 012HoneyComb LX2K110220330440550SE +/- 1.37, N = 3SE +/- 0.42, N = 3SE +/- 0.81, N = 3404.74403.85485.911. (CXX) g++ options: -O3 -fPIC

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: bf16bf16bf16 - Engine: CPU123HoneyComb LX2K8K16K24K32K40KSE +/- 244.89, N = 3SE +/- 327.46, N = 12SE +/- 506.17, N = 9SE +/- 226.16, N = 317140.116556.717065.538288.2MIN: 13604.9MIN: 12882.3MIN: 13244.1-O2 - MIN: 37745.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU123HoneyComb LX2K8K16K24K32K40KSE +/- 188.21, N = 3SE +/- 307.63, N = 12SE +/- 378.61, N = 9SE +/- 169.67, N = 316255.916777.016436.838077.3MIN: 13038.5MIN: 12597.8MIN: 13044.4-O2 - MIN: 37721.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

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 Compile12HoneyComb LX2K80160240320400SE +/- 1.89, N = 3SE +/- 0.65, N = 3SE +/- 0.80, N = 3357.47357.14315.90

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123HoneyComb LX2K0.04230.08460.12690.16920.2115SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1880.1870.1870.186

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 212HoneyComb LX2K70140210280350SE +/- 0.06, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3250.17250.71310.031. (CXX) g++ options: -O3 -fPIC

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123HoneyComb LX2K0.05040.10080.15120.20160.252SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2230.2210.2220.224

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1123HoneyComb LX2K0.01890.03780.05670.07560.0945SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0840.0840.0840.081

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time123HoneyComb LX2K3M6M9M12M15MSE +/- 125793.16, N = 3SE +/- 184845.46, N = 6SE +/- 177988.27, N = 15SE +/- 173726.98, N = 315691469154171271561760795144571. (CXX) g++ options: -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth12HoneyComb LX2K7M14M21M28M35MSE +/- 299925.52, N = 3SE +/- 393577.81, N = 3SE +/- 201778.29, N = 3330379623313576716459128

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123HoneyComb LX2K0.10010.20020.30030.40040.5005SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.4250.4190.4200.445

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis12HoneyComb LX2K20406080100SE +/- 0.12, N = 4SE +/- 0.21, N = 4SE +/- 4.47, N = 487.8384.9084.43-lpthread -lm1. (CC) gcc options: -O2 -std=c99

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 APE12HoneyComb LX2K20406080100SE +/- 0.05, N = 5SE +/- 0.06, N = 5SE +/- 0.59, N = 596.1339.9237.001. (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: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1234HoneyComb LX2K130260390520650SE +/- 15.29, N = 12SE +/- 13.95, N = 15SE +/- 12.91, N = 15SE +/- 12.10, N = 15SE +/- 10.39, N = 3191.84194.62173.54173.05620.76MIN: 115.28MIN: 115.45MIN: 116.21MIN: 116-O2 - MIN: 597.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

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: Kostya1234HoneyComb LX2K0.13730.27460.41190.54920.6865SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.480.480.61-O3-O3-O3-O3-O21. (CXX) g++ options: -pthread

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 Encode12HoneyComb LX2K1122334455SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 548.3148.2737.741. (CXX) g++ options: -fvisibility=hidden -logg -lm

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 Speedup1234HoneyComb LX2K246810SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 37.17.27.07.21.61. (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: LargeRandom1234HoneyComb LX2K0.0630.1260.1890.2520.315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.230.230.230.230.28-O3-O3-O3-O3-O21. (CXX) g++ options: -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: CPU1234HoneyComb LX2K1224364860SE +/- 1.27, N = 15SE +/- 1.03, N = 15SE +/- 1.36, N = 15SE +/- 1.62, N = 12SE +/- 1.13, N = 329.0133.2232.2830.8953.32MIN: 15.13MIN: 15.35MIN: 15.14MIN: 15.09-O2 - MIN: 50.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

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: PartialTweets1234HoneyComb LX2K0.15750.3150.47250.630.7875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.550.550.550.550.70-O3-O3-O3-O3-O21. (CXX) g++ options: -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1234HoneyComb LX2K0.15980.31960.47940.63920.799SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.560.560.560.570.71-O3-O3-O3-O3-O21. (CXX) g++ options: -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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123HoneyComb LX2K1020304050SE +/- 1.48, N = 15SE +/- 0.94, N = 15SE +/- 0.82, N = 15SE +/- 0.15, N = 336.6138.3738.4946.01MIN: 19.74MIN: 19.74MIN: 19.79-O2 - MIN: 45.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123HoneyComb LX2K612182430SE +/- 1.04, N = 15SE +/- 0.93, N = 15SE +/- 0.93, N = 15SE +/- 0.00, N = 319.8221.0120.4826.15MIN: 8.13MIN: 8.13MIN: 8.14-O2 - MIN: 25.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1234HoneyComb LX2K612182430SE +/- 0.67, N = 15SE +/- 0.68, N = 12SE +/- 0.69, N = 15SE +/- 1.03, N = 15SE +/- 0.02, N = 323.6822.8022.8524.4521.51MIN: 17.03MIN: 17.06MIN: 17.02MIN: 17.03-O2 - MIN: 21.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1234HoneyComb LX2K816243240SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.49, N = 3SE +/- 0.40, N = 335.6435.3436.3636.0025.171. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: CPU1234HoneyComb LX2K306090120150SE +/- 7.37, N = 15SE +/- 7.70, N = 12SE +/- 6.62, N = 15SE +/- 8.19, N = 15SE +/- 0.02, N = 393.4798.2876.3584.37122.32MIN: 30.81MIN: 30.76MIN: 30.78MIN: 30.78-O2 - MIN: 121.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second123HoneyComb LX2K80K160K240K320K400KSE +/- 656.44, N = 3SE +/- 798.90, N = 3SE +/- 664.33, N = 3SE +/- 23.74, N = 3385397.37385035.21385080.51193571.811. (CC) gcc options: -O2 -lrt" -lrt

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 812HoneyComb LX2K612182430SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 322.3022.3324.461. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 1012HoneyComb LX2K612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 321.8821.8323.181. (CXX) g++ options: -O3 -fPIC

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: u8s8f32 - Engine: CPU1234HoneyComb LX2K50100150200250SE +/- 0.92, N = 3SE +/- 1.31, N = 3SE +/- 1.64, N = 3SE +/- 2.05, N = 3SE +/- 0.78, N = 3184.80185.97185.16183.15220.11MIN: 121.06MIN: 114.9MIN: 116.12MIN: 111-O2 - MIN: 217.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding123HoneyComb LX2K816243240SE +/- 0.38, N = 5SE +/- 0.30, N = 3SE +/- 0.51, N = 3SE +/- 0.06, N = 332.1332.6732.7833.56-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale1. (CC) gcc options: -ldl -lm -lpthread

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: CPU1234HoneyComb LX2K4080120160200SE +/- 1.68, N = 3SE +/- 2.81, N = 3SE +/- 1.41, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 3183.92184.88183.39183.14129.05MIN: 127.82MIN: 135.46MIN: 133.71MIN: 130.48-O2 - MIN: 125.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1234HoneyComb LX2K306090120150SE +/- 6.33, N = 15SE +/- 7.31, N = 15SE +/- 7.43, N = 12SE +/- 6.08, N = 15SE +/- 2.32, N = 360.3763.4255.9459.78118.21MIN: 26.98MIN: 26.98MIN: 26.97MIN: 26.97-O2 - MIN: 114.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1234HoneyComb LX2K90180270360450SE +/- 2.55, N = 3SE +/- 0.17, N = 3SE +/- 1.42, N = 3SE +/- 1.34, N = 3SE +/- 0.09, N = 3418.33421.22424.64419.3997.14MIN: 379.92MIN: 376.78MIN: 380.56MIN: 371.23-O2 - MIN: 96.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU1234HoneyComb LX2K4080120160200SE +/- 0.34, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 3113.02112.31112.55112.92192.12MIN: 98.24MIN: 103.46MIN: 102.72MIN: 104.76-O2 - MIN: 190.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performance1234HoneyComb LX2K110K220K330K440K550KSE +/- 327.56, N = 5SE +/- 328.25, N = 5SE +/- 264.73, N = 5SE +/- 616.26, N = 55159035159035157105157095109281. (CC) gcc options: -O3 -march=native

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: u8s8f32 - Engine: CPU1234HoneyComb LX2K4080120160200SE +/- 0.92, N = 3SE +/- 0.48, N = 3SE +/- 1.41, N = 3SE +/- 1.75, N = 3SE +/- 2.17, N = 3114.07113.51113.11112.61196.13MIN: 93.84MIN: 91.33MIN: 92.39MIN: 90.72-O2 - MIN: 179.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -mcpu=native -fPIC -pie -lpthread

1

Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq ondemand
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected

Testing initiated at 26 December 2020 19:28 by user phoronix.

2

Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq ondemand
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected

Testing initiated at 27 December 2020 10:51 by user phoronix.

3

Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq ondemand
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected

Testing initiated at 27 December 2020 18:47 by user phoronix.

4

Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210

OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq ondemand
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + tsx_async_abort: Not affected

Testing initiated at 27 December 2020 23:35 by user phoronix.

HoneyComb LX2K

Processor: ARMv8 Cortex-A72 (16 Cores), Motherboard: SolidRun CEX7 (EDK II BIOS), Memory: 32GB, Disk: 128GB Generic + 8GB SL08G + 63GB DF4064, Graphics: MSI NVIDIA GeForce GT 1030, Audio: NVIDIA GP108 HD Audio

OS: Fedora 33, Kernel: 5.10.10-00042-gbfa806f5daa5-dirty (aarch64), Display Server: X Server 1.20.10, Compiler: GCC 10.2.1 20201125 + Clang 11.0.0 + CUDA 11.2, File-System: btrfs

Compiler Notes: --build=aarch64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu
Python Notes: Python 3.9.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Branch predictor hardening + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 February 2021 09:27 by user .