amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.
c3d-standard-60 AMD Genoa Processor: AMD EPYC 9B14 (30 Cores / 60 Threads), Motherboard: Google Compute Engine c3d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB nvme_card-pd, Network: Google Compute Engine Virtual
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
t2d-standard-60 AMD Milan Processor: AMD EPYC 7B13 (60 Cores)Motherboard: Google Compute Engine t2d-standard-60Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB PersistentDiskNetwork: Red Hat Virtio device
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
c6g.16xlarge Processor: ARMv8 Neoverse-N1 (64 Cores)Motherboard: Amazon EC2 c6g.16xlarge (1.0 BIOS)Chipset: Amazon Device 0200Memory: 128GBDisk: 215GB Amazon Elastic Block StoreNetwork: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected
m7a.16xlarge Processor: AMD EPYC 9R14 (64 Cores)Motherboard: Amazon EC2 m7a.16xlarge (1.0 BIOS)Chipset: Intel 440FX 82441FX PMCMemory: 256GBDisk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xa10113eJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40 80 120 160 200 SE +/- 3.85, N = 12 SE +/- 0.39, N = 3 SE +/- 1.23, N = 12 168.19 150.60 140.92 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 150 300 450 600 750 SE +/- 25.87, N = 3 SE +/- 7.53, N = 3 SE +/- 4.86, N = 3 709.46 682.12 598.49 MAX: 113264.06 MAX: 98294.84 MAX: 62432.53 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 10M 20M 30M 40M 50M SE +/- 354923.23, N = 3 SE +/- 267152.12, N = 3 SE +/- 99649.31, N = 3 35068557 35359884 44699315 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1200 2400 3600 4800 6000 SE +/- 109.40, N = 12 SE +/- 13.63, N = 3 SE +/- 49.28, N = 12 4784 5312 5682 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 800 - Mode: Read Write
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50 100 150 200 250 SE +/- 6.00, N = 9 SE +/- 0.59, N = 3 SE +/- 1.44, N = 8 210.61 188.68 172.72 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 70 140 210 280 350 SE +/- 2.03, N = 3 SE +/- 1.48, N = 3 SE +/- 0.61, N = 3 337.70 327.88 190.79
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge 80 160 240 320 400 SE +/- 0.60, N = 3 SE +/- 0.49, N = 3 351.58 276.23 Blend File: Barbershop - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
nekRS nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1600M 3200M 4800M 6400M 8000M SE +/- 2970005.61, N = 3 SE +/- 84802173.02, N = 12 SE +/- 57202190.49, N = 12 SE +/- 49077561.86, N = 3 1758860000 3681935833 4289858333 7667846667 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 20 40 60 80 100 SE +/- 1.83, N = 12 SE +/- 0.86, N = 15 SE +/- 0.74, N = 15 88.54 84.17 74.78 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP HotSpot3D
c6g.16xlarge: The test quit with a non-zero exit status.
nekRS nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1000M 2000M 3000M 4000M 5000M SE +/- 1790009.31, N = 3 SE +/- 481352.26, N = 3 SE +/- 201939132.13, N = 12 SE +/- 6657808.28, N = 3 2221710000 2730620000 4723940000 4774796667 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 90 180 270 360 450 SE +/- 2.41, N = 3 SE +/- 1.20, N = 3 SE +/- 0.37, N = 3 409.10 333.35 267.97 Build: allmodconfig
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status. E: linux-6.1/tools/objtool/include/objtool/elf.h:10:10: fatal error: gelf.h: No such file or directory
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 100 200 300 400 500 SE +/- 27.08, N = 3 SE +/- 35.57, N = 3 SE +/- 7.15, N = 3 447.68 433.96 355.13 MAX: 95136.87 MAX: 103381.73 MAX: 67149.77 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 9M 18M 27M 36M 45M SE +/- 130588.20, N = 3 SE +/- 66565.66, N = 3 SE +/- 111073.27, N = 3 34123810 34332237 42643903 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1200 2400 3600 4800 6000 SE +/- 124.50, N = 9 SE +/- 16.57, N = 3 SE +/- 49.93, N = 8 4776 5300 5793 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 10M 20M 30M 40M 50M SE +/- 188621.29, N = 3 SE +/- 221111.93, N = 3 SE +/- 224779.59, N = 3 34762565 34925899 44502333 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 140 280 420 560 700 SE +/- 12.58, N = 3 SE +/- 3.18, N = 3 SE +/- 0.65, N = 3 633.58 623.89 521.98 MAX: 54749.7 MAX: 41831.2 MAX: 34235.44 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 30 60 90 120 150 SE +/- 3.26, N = 9 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 147.31 123.61 115.96
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 200K 400K 600K 800K 1000K 510819 629363 788704 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6 VGR Performance Metric
c6g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 286.20 198.39 191.71 154.44
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 20 40 60 80 100 SE +/- 1.56, N = 15 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 92.87 75.68 66.27
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 30M 60M 90M 120M 150M SE +/- 1645401.81, N = 15 SE +/- 1450871.09, N = 3 SE +/- 1618403.29, N = 14 SE +/- 1001447.21, N = 3 81807706 105894457 112958788 135419169 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 1. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
Timed Gem5 Compilation This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 50 100 150 200 250 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 SE +/- 0.39, N = 3 224.41 176.77 170.93 153.80
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 110000M 220000M 330000M 440000M 550000M SE +/- 2100313.05, N = 3 SE +/- 178290221.71, N = 3 SE +/- 71241287.97, N = 3 SE +/- 1691817104.57, N = 3 129198197600 216025967640 293328048497 522113080527 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 70000M 140000M 210000M 280000M 350000M SE +/- 372419.81, N = 3 SE +/- 12326205.97, N = 3 SE +/- 47698640.87, N = 3 SE +/- 280681661.27, N = 3 67324778360 173980949893 180249145770 308308045083 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 130000M 260000M 390000M 520000M 650000M SE +/- 5537993.15, N = 3 SE +/- 376720190.05, N = 3 SE +/- 342949201.09, N = 3 SE +/- 1818538727.73, N = 3 158788510970 234604082610 343095284440 592545362740 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 50000M 100000M 150000M 200000M 250000M SE +/- 2259404.37, N = 3 SE +/- 198663058.81, N = 3 SE +/- 3664727.47, N = 3 SE +/- 85099636.22, N = 3 46715126487 119647720337 123909304773 216773475533 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 6000M 12000M 18000M 24000M 30000M SE +/- 6214593.12, N = 3 SE +/- 4399663.13, N = 3 SE +/- 108274834.92, N = 3 SE +/- 29763937.73, N = 3 14384917863 14702270573 22244804183 26481506820 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 13000M 26000M 39000M 52000M 65000M SE +/- 192235444.29, N = 3 SE +/- 9562123.40, N = 3 SE +/- 20491615.60, N = 3 SE +/- 161718701.08, N = 3 42288513973 46211821313 50884997103 62253861197 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 90 180 270 360 450 SE +/- 2.14, N = 3 SE +/- 4.08, N = 3 SE +/- 4.92, N = 3 418.59 415.08 340.11 MAX: 31920.67 MAX: 28810.4 MAX: 37899.66 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 9M 18M 27M 36M 45M SE +/- 154587.14, N = 3 SE +/- 303573.79, N = 3 SE +/- 457186.43, N = 3 33268158 33466804 40899210 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 20 40 60 80 100 SE +/- 4.01, N = 12 SE +/- 0.22, N = 3 SE +/- 0.73, N = 3 89.65 72.06 59.18
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 9 18 27 36 45 SE +/- 1.27, N = 15 SE +/- 0.39, N = 15 SE +/- 0.08, N = 3 38.82 30.12 26.14
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 0.767 0.399 0.274 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.000, N = 3 1.026 0.498 0.347 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1500 3000 4500 6000 7500 SE +/- 27.09, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 6990.10 9.90 5.86 4.35 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 800 1600 2400 3200 4000 SE +/- 0.00, N = 15 SE +/- 1.12, N = 3 SE +/- 3.16, N = 3 SE +/- 1.69, N = 3 0.14 1512.57 2043.05 3666.89 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 20.90 69.68 100.15 Device: CPU - Batch Size: 64 - Model: ResNet-50
c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 200 400 600 800 1000 SE +/- 0.37, N = 3 SE +/- 9.17, N = 15 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 947.59 208.47 83.99 56.21 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68 -pie - MIN: 119.65 / MAX: 316.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 60 120 180 240 300 SE +/- 0.00, N = 3 SE +/- 3.12, N = 15 SE +/- 0.23, N = 3 SE +/- 0.53, N = 3 1.06 73.74 142.75 284.42 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 200 400 600 800 1000 SE +/- 0.55, N = 3 SE +/- 7.79, N = 15 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 947.86 193.45 83.91 56.41 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26 -pie - MIN: 113.44 / MAX: 315.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 60 120 180 240 300 SE +/- 0.00, N = 3 SE +/- 2.74, N = 15 SE +/- 0.48, N = 3 SE +/- 0.29, N = 3 1.06 78.96 142.90 283.40 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
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.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 0 c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 60 120 180 240 300 SE +/- 0.34, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 270.07 78.35 78.07 65.45 1. (CXX) g++ options: -O3 -fPIC -lm
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 12058.27, N = 3 SE +/- 20558.90, N = 3 SE +/- 13309.30, N = 3 1043267 2003784 2923009 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 800 - Mode: Read Only
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 12606.16, N = 3 SE +/- 22497.42, N = 3 SE +/- 2874.04, N = 3 975031 2008186 2880940 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 112.64 91.88 Blend File: Pabellon Barcelona - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
Laghos Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 90 180 270 360 450 SE +/- 0.31, N = 3 SE +/- 0.79, N = 3 SE +/- 0.62, N = 3 SE +/- 1.29, N = 3 259.55 321.29 364.64 409.73 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa m7a.16xlarge 50K 100K 150K 200K 250K SE +/- 156.32, N = 3 SE +/- 132.24, N = 3 SE +/- 688.79, N = 3 SE +/- 260.28, N = 3 155609.04 158700.36 180537.84 224859.09 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 50K 100K 150K 200K 250K SE +/- 249.05, N = 3 SE +/- 394.72, N = 3 SE +/- 126.15, N = 3 SE +/- 451.60, N = 3 162553.85 162957.75 187350.44 233014.72 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 89.35 71.51 Blend File: Classroom - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 5K 10K 15K 20K 25K SE +/- 15.60, N = 3 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 22391.86 568.77 340.29 261.11 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 14 28 42 56 70 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 0.04 26.28 35.19 61.19 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
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.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 40 80 120 160 200 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.22, N = 3 167.95 41.99 41.54 35.81 1. (CXX) g++ options: -O3 -fPIC -lm
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 20.36 62.74 87.19 Device: CPU - Batch Size: 32 - Model: ResNet-50
c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 2K 4K 6K 8K 10K SE +/- 1.02, N = 3 SE +/- 1.32, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 9996.56 1393.56 648.81 503.38 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 0.10 10.73 18.39 31.72 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 900 1800 2700 3600 4500 SE +/- 0.58, N = 3 SE +/- 142.62, N = 12 SE +/- 36.45, N = 15 SE +/- 3.14, N = 3 915.80 1752.62 2422.40 4085.20 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 50K 100K 150K 200K 250K SE +/- 7.52, N = 3 SE +/- 293.57, N = 3 SE +/- 1463.52, N = 15 SE +/- 661.61, N = 3 18807.75 73563.13 94247.77 210544.87 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1500 3000 4500 6000 7500 SE +/- 76.95, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 6773.31 26.50 18.56 13.07 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.99 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.37, N = 3 SE +/- 0.79, N = 3 SE +/- 0.51, N = 3 0.15 565.34 645.74 1222.99 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 500 1000 1500 2000 2500 SE +/- 27.29, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2186.81 4.53 3.52 3.07 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 2K 4K 6K 8K 10K SE +/- 0.01, N = 3 SE +/- 2.08, N = 3 SE +/- 6.52, N = 3 SE +/- 3.60, N = 3 0.46 4239.52 6605.12 10382.22 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 160 320 480 640 800 SE +/- 0.26, N = 3 SE +/- 0.58, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 735.58 155.14 64.70 50.72 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23 -pie - MIN: 114.75 / MAX: 224.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 70 140 210 280 350 SE +/- 0.00, N = 3 SE +/- 0.37, N = 3 SE +/- 0.25, N = 3 SE +/- 0.11, N = 3 1.36 96.58 185.29 315.14 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 135.87 23.64 6.79 5.07 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64 -pie - MIN: 9.57 / MAX: 42.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 700 1400 2100 2800 3500 SE +/- 0.01, N = 3 SE +/- 3.66, N = 3 SE +/- 4.38, N = 3 SE +/- 1.10, N = 3 7.36 633.76 1764.21 3146.04 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 80 160 240 320 400 SE +/- 0.20, N = 3 SE +/- 0.27, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 382.47 66.46 20.77 15.22 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43 -pie - MIN: 25.85 / MAX: 122.2 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 200 400 600 800 1000 SE +/- 0.00, N = 3 SE +/- 0.93, N = 3 SE +/- 1.04, N = 3 SE +/- 0.11, N = 3 2.61 225.48 576.94 1049.66 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 90 180 270 360 450 SE +/- 0.26, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 423.95 76.72 39.38 27.60 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.57 -pie - MIN: 58.8 / MAX: 121.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 200 400 600 800 1000 SE +/- 0.00, N = 3 SE +/- 1.37, N = 3 SE +/- 1.75, N = 3 SE +/- 0.18, N = 3 2.36 390.72 761.14 1158.43 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 90 180 270 360 450 SE +/- 2.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 394.94 81.00 31.08 22.53 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15 -pie - MIN: 64.65 / MAX: 134.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 300 600 900 1200 1500 SE +/- 0.02, N = 3 SE +/- 0.96, N = 3 SE +/- 0.60, N = 3 SE +/- 0.70, N = 3 2.53 370.03 964.46 1419.11 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 153.12 40.67 8.62 6.60 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75 -pie - MIN: 12.07 / MAX: 59.44 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 500 1000 1500 2000 2500 SE +/- 0.01, N = 3 SE +/- 1.55, N = 3 SE +/- 6.33, N = 3 SE +/- 1.65, N = 3 6.53 368.39 1389.69 2417.34 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 181.94 11.32 8.20 5.16 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.11 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1300 2600 3900 5200 6500 SE +/- 0.01, N = 3 SE +/- 3.26, N = 3 SE +/- 3.28, N = 3 SE +/- 4.43, N = 3 5.50 2646.58 3650.57 6177.94 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.33 0.61 0.40 0.27 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 20K 40K 60K 80K 100K SE +/- 0.48, N = 3 SE +/- 332.93, N = 3 SE +/- 45.46, N = 3 SE +/- 453.62, N = 3 136.16 44049.15 54971.26 92100.80 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 119.17 15.98 14.76 10.19 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 700 1400 2100 2800 3500 SE +/- 0.01, N = 3 SE +/- 0.56, N = 3 SE +/- 0.47, N = 3 SE +/- 0.31, N = 3 8.39 1014.70 1875.28 3132.48 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 48.08 11.65 2.87 2.21 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49 -pie - MIN: 3.76 / MAX: 29.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 15.96, N = 3 SE +/- 8.74, N = 3 SE +/- 4.07, N = 3 20.79 1285.47 4166.39 7222.10 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 1.2555 2.511 3.7665 5.022 6.2775 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 5.58 0.99 0.52 0.38 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.48 -pie - MIN: 0.8 / MAX: 13.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 20K 40K 60K 80K 100K SE +/- 0.39, N = 3 SE +/- 14.46, N = 3 SE +/- 18.42, N = 3 SE +/- 31.79, N = 3 178.82 29668.12 43607.04 81996.81 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 200K 400K 600K 800K 1000K SE +/- 6.55, N = 3 SE +/- 50.91, N = 3 SE +/- 644.45, N = 3 SE +/- 367.82, N = 3 215683.2 493077.6 860844.6 996017.5 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 7K 14K 21K 28K 35K SE +/- 0.09, N = 3 SE +/- 11.58, N = 3 SE +/- 14.62, N = 3 SE +/- 24.57, N = 3 2640.0 12973.0 20079.5 31583.8 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 20K 40K 60K 80K 100K SE +/- 0.76, N = 3 SE +/- 45.01, N = 3 SE +/- 555.92, N = 3 SE +/- 91.17, N = 3 9716.99 39919.71 43228.11 102392.40 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 14 28 42 56 70 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 64.86 62.30 50.97 43.29 1. (CXX) g++ options: -O2 -lOpenCL
Laghos Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem c6g.16xlarge c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 50 100 150 200 250 SE +/- 0.50, N = 3 SE +/- 0.22, N = 3 SE +/- 1.67, N = 3 SE +/- 1.77, N = 3 179.52 209.00 218.86 222.30 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 20 40 60 80 100 SE +/- 0.82, N = 3 SE +/- 0.37, N = 5 SE +/- 0.29, N = 5 102.22 33.40 27.71 Build: defconfig
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status. E: linux-6.1/tools/objtool/include/objtool/elf.h:10:10: fatal error: gelf.h: No such file or directory
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 2 4 6 8 10 SE +/- 0.001, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.035, N = 3 2.766 4.391 5.289 7.655 1. (CXX) g++ options: -O3
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 40K 80K 120K 160K 200K SE +/- 7.69, N = 3 SE +/- 122.23, N = 3 SE +/- 42.77, N = 3 SE +/- 560.75, N = 3 24229.14 96257.48 122720.61 193219.12 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.01, N = 3 SE +/- 0.31, N = 12 SE +/- 0.04, N = 3 28.02 25.87 24.57 11.59 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 18.29 50.99 69.55 Device: CPU - Batch Size: 16 - Model: ResNet-50
c6g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge 10 20 30 40 50 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 45.22 37.12 Blend File: Fishy Cat - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 1600 3200 4800 6400 8000 SE +/- 7.28, N = 3 SE +/- 30.67, N = 3 SE +/- 51.21, N = 5 SE +/- 8.54, N = 3 2213.76 3783.60 4935.68 7501.76 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 34.27 27.74 Blend File: BMW27 - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 10 20 30 40 50 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 45.50 42.01 34.66 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP Leukocyte
c6g.16xlarge: The test quit with a non-zero exit status.
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge m7a.16xlarge 400M 800M 1200M 1600M 2000M SE +/- 1088162.98, N = 3 SE +/- 2060519.90, N = 3 SE +/- 176147.98, N = 3 SE +/- 1428129.35, N = 3 920427767 962889833 1032893667 1843444333 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 60K 120K 180K 240K 300K SE +/- 519.21, N = 3 SE +/- 57.33, N = 3 SE +/- 347.74, N = 3 SE +/- 342.37, N = 3 226211 234046 247255 282593 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 70K 140K 210K 280K 350K SE +/- 359.95, N = 3 SE +/- 346.51, N = 3 SE +/- 388.74, N = 3 SE +/- 400.99, N = 3 239735 271795 278973 330633 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 20K 40K 60K 80K 100K SE +/- 2.85, N = 3 SE +/- 600.19, N = 15 SE +/- 137.77, N = 3 SE +/- 446.85, N = 3 21386.37 39647.47 54846.18 103413.02 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Remhos Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge 8 16 24 32 40 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 33.36 20.82 16.33 13.87 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 500K 1000K 1500K 2000K 2500K SE +/- 635.29, N = 3 SE +/- 1295.68, N = 3 SE +/- 9191.61, N = 3 SE +/- 1437.63, N = 3 1259870.72 1445843.52 1730658.45 2158639.27 1. (CC) gcc options: -O2 -lrt" -lrt
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge 140 280 420 560 700 SE +/- 0.19, N = 3 SE +/- 3.60, N = 4 SE +/- 0.47, N = 3 SE +/- 0.40, N = 3 255.4 289.2 312.7 643.4 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 9K 18K 27K 36K 45K SE +/- 23.52, N = 3 SE +/- 1215.82, N = 15 SE +/- 77.92, N = 3 SE +/- 178.46, N = 3 13343.35 16649.37 19597.86 42007.57 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge 300 600 900 1200 1500 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.96, N = 3 SE +/- 0.52, N = 3 489.7 554.2 589.5 1201.8 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 4 8 12 16 20 SE +/- 0.017, N = 3 SE +/- 0.104, N = 15 SE +/- 0.009, N = 3 SE +/- 0.049, N = 3 14.212 6.448 6.423 5.930 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 10.025 7.368 6.480 5.983 1. (CXX) g++ options: -O2 -lOpenCL
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.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa m7a.16xlarge 2 4 6 8 10 SE +/- 0.032, N = 3 SE +/- 0.031, N = 3 SE +/- 0.099, N = 3 SE +/- 0.008, N = 3 8.879 7.639 6.889 5.678 1. (CXX) g++ options: -O3 -fPIC -lm
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge 1.3211 2.6422 3.9633 5.2844 6.6055 SE +/- 0.04970425, N = 3 SE +/- 0.02210564, N = 3 SE +/- 0.01888616, N = 3 SE +/- 0.03993251, N = 3 5.87157885 5.63057327 5.61811686 2.89602661 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 30K 60K 90K 120K 150K SE +/- 10.99, N = 3 SE +/- 29.69, N = 3 SE +/- 145.06, N = 3 SE +/- 526.14, N = 3 25661.04 42701.83 47291.96 121293.80 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
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.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 4.467 3.250 3.205 2.649 1. (CXX) g++ options: -O3 -fPIC -lm
HeFFTe - Highly Efficient FFT for Exascale HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 16 32 48 64 80 SE +/- 0.10, N = 3 SE +/- 1.29, N = 15 SE +/- 0.66, N = 3 SE +/- 0.63, N = 15 32.36 57.31 60.03 71.11 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge 30 60 90 120 150 SE +/- 0.71, N = 3 SE +/- 1.78, N = 12 SE +/- 0.91, N = 3 SE +/- 1.18, N = 15 79.02 93.60 106.03 124.36 1. (CXX) g++ options: -O3
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 2.19, N = 12 SE +/- 2.16, N = 15 SE +/- 0.82, N = 3 SE +/- 0.57, N = 3 148.58 190.60 196.95 202.45 1. (CXX) g++ options: -O3
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 30 60 90 120 150 SE +/- 0.52, N = 3 SE +/- 0.78, N = 3 SE +/- 1.44, N = 15 SE +/- 0.11, N = 3 88.63 109.68 121.51 129.17 1. (CXX) g++ options: -O3
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
Model: INIVOL and Fluid Structure Interaction Drop Container
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
t2d-standard-60 AMD Milan: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
m7a.16xlarge: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container_0001.rad NOT FOUND
c3d-standard-60 AMD Genoa Processor: AMD EPYC 9B14 (30 Cores / 60 Threads), Motherboard: Google Compute Engine c3d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB nvme_card-pd, Network: Google Compute Engine Virtual
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2023 00:31 by user michael_larabel.
t2d-standard-60 AMD Milan Processor: AMD EPYC 7B13 (60 Cores), Motherboard: Google Compute Engine t2d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2023 12:59 by user michael_larabel.
c6g.16xlarge Processor: ARMv8 Neoverse-N1 (64 Cores), Motherboard: Amazon EC2 c6g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 October 2023 17:34 by user ubuntu.
m7a.16xlarge Processor: AMD EPYC 9R14 (64 Cores), Motherboard: Amazon EC2 m7a.16xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 256GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 -vProcessor Notes: CPU Microcode: 0xa10113eJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 October 2023 16:34 by user ubuntu.