KVM 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
c7g.16xlarge Processor: ARMv8 Neoverse-V1 (64 Cores)Motherboard: Amazon EC2 c7g.16xlarge (1.0 BIOS)Chipset: Amazon Device 0200Memory: 128GBDisk: 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
c2d-standard-56 Processor: AMD EPYC 7B13 (28 Cores / 56 Threads)Motherboard: Google Compute Engine c2d-standard-56Chipset: Intel 440FX 82441FX PMCMemory: 224GBDisk: 215GB PersistentDiskNetwork: 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: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
GCE c3d-standard-60 Processor Motherboard Chipset Memory Disk Network OS Kernel Vulkan Compiler File-System System Layer c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 AMD EPYC 9B14 (30 Cores / 60 Threads) Google Compute Engine c3d-standard-60 Intel 440FX 82441FX PMC 240GB 215GB nvme_card-pd Google Compute Engine Virtual Ubuntu 22.04 6.2.0-1014-gcp (x86_64) 1.3.238 GCC 11.4.0 ext4 KVM AMD EPYC 7B13 (60 Cores) Google Compute Engine t2d-standard-60 215GB PersistentDisk Red Hat Virtio device ARMv8 Neoverse-N1 (64 Cores) Amazon EC2 c6g.16xlarge (1.0 BIOS) Amazon Device 0200 128GB 215GB Amazon Elastic Block Store Amazon Elastic 5.19.0-1025-aws (aarch64) amazon AMD EPYC 9R14 (64 Cores) Amazon EC2 m7a.16xlarge (1.0 BIOS) Intel 440FX 82441FX PMC 256GB 5.19.0-1025-aws (x86_64) ARMv8 Neoverse-V1 (64 Cores) Amazon EC2 c7g.16xlarge (1.0 BIOS) Amazon Device 0200 128GB 5.19.0-1025-aws (aarch64) AMD EPYC 7B13 (28 Cores / 56 Threads) Google Compute Engine c2d-standard-56 Intel 440FX 82441FX PMC 224GB 215GB PersistentDisk Red Hat Virtio device 6.2.0-1014-gcp (x86_64) KVM OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - c3d-standard-60 AMD Genoa: --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 -v - t2d-standard-60 AMD Milan: --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 -v - c6g.16xlarge: --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 -v - m7a.16xlarge: --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 -v - c7g.16xlarge: --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 -v - c2d-standard-56: --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 -v Processor Details - c3d-standard-60 AMD Genoa: CPU Microcode: 0xffffffff - t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffff - m7a.16xlarge: CPU Microcode: 0xa10113e - c2d-standard-56: CPU Microcode: 0xffffffff Java Details - OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04) Python Details - Python 3.10.12 Security Details - c3d-standard-60 AMD Genoa: 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: 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: 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: 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 - c7g.16xlarge: 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 - c2d-standard-56: 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: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 Logarithmic Result Overview Phoronix Test Suite NAS Parallel Benchmarks OpenSSL nekRS GROMACS libavif avifenc libxsmm Remhos Xcompact3d Incompact3d Rodinia LAMMPS Molecular Dynamics Simulator Algebraic Multi-Grid Benchmark OpenVINO Timed Node.js Compilation Coremark Apache Cassandra Stockfish nginx HeFFTe - Highly Efficient FFT for Exascale Timed Gem5 Compilation Laghos 7-Zip Compression
GCE c3d-standard-60 openvino: Face Detection FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU npb: BT.C openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU npb: FT.C tensorflow: CPU - 64 - ResNet-50 npb: MG.C avifenc: 2 nekrs: Kershaw openssl: ChaCha20-Poly1305 openssl: RSA4096 openssl: ChaCha20 openssl: AES-128-GCM npb: IS.D openssl: AES-256-GCM tensorflow: CPU - 32 - ResNet-50 avifenc: 0 openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection FP16 - CPU tensorflow: CPU - 16 - ResNet-50 build-linux-kernel: defconfig npb: EP.D npb: CG.C openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Only pgbench: 100 - 800 - Read Only - Average Latency gromacs: MPI CPU - water_GMX50_bare libxsmm: 32 libxsmm: 64 openssl: SHA512 nekrs: TurboPipe Periodic incompact3d: input.i3d 193 Cells Per Direction remhos: Sample Remap Example rodinia: OpenMP Streamcluster rodinia: OpenMP CFD Solver heffte: c2c - FFTW - double - 128 lammps: Rhodopsin Protein incompact3d: input.i3d 129 Cells Per Direction amg: openvino: Face Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openssl: RSA4096 openvino: Weld Porosity Detection FP16 - CPU npb: LU.C npb: SP.C lammps: 20k Atoms heffte: c2c - FFTW - float - 128 heffte: r2c - FFTW - float - 128 brl-cad: VGR Performance Metric openradioss: Chrysler Neon 1M build-nodejs: Time To Compile coremark: CoreMark Size 666 - Iterations Per Second cassandra: Writes blender: BMW27 - CPU-Only blender: Classroom - CPU-Only laghos: Sedov Blast Wave, ube_922_hex.mesh blender: Barbershop - CPU-Only build-linux-kernel: allmodconfig avifenc: 6 stockfish: Total Time nginx: 1000 blender: Pabellon Barcelona - CPU-Only rodinia: OpenMP LavaMD heffte: r2c - FFTW - double - 128 blender: Fishy Cat - CPU-Only nginx: 500 avifenc: 6, Lossless openssl: SHA256 build-gem5: Time To Compile compress-7zip: Compression Rating compress-7zip: Decompression Rating rodinia: OpenMP Leukocyte laghos: Triple Point Problem apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 pgbench: 100 - 1000 - Read Write apache-iotdb: 500 - 100 - 800 - 400 rodinia: OpenMP HotSpot3D pgbench: 100 - 800 - Read Write apache-iotdb: 800 - 100 - 800 - 400 pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 800 - Read Write - Average Latency openradioss: Rubber O-Ring Seal Installation openradioss: Bird Strike on Windshield openradioss: Cell Phone Drop Test openradioss: Bumper Beam c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 340.29 645.74 4.53 96257.48 54971.26 964.46 18.56 761.14 43607.04 1764.21 576.94 39647.47 69.68 42701.83 41.538 4289858333 123909304773 493077.6 173980949893 343095284440 2422.40 293328048497 62.74 78.068 1875.28 1389.69 8.20 4166.39 18.39 50.99 3783.60 19597.86 0.4 142.75 142.90 2043.05 6.79 20.77 185.29 8.62 6605.12 2.87 4.391 255.4 489.7 14702270573 4723940000 28.0196877 33.362 6.448 10.025 57.3116 17.423 5.87157885 962889833 648.81 31.08 5.86 83.99 83.91 35.19 39.38 0.52 64.70 3650.57 20079.5 15.98 73563.13 39919.71 19.776 88.6301 148.575 510819 337.70 198.394 1445843.521552 228640 259.55 3.250 105894457 180537.84 64.862 93.6005 187350.44 6.889 46211821313 176.767 271795 226211 45.498 209.00 34762565 35359884 447.68 34332237 418.59 33268158 623.89 84.166 682.12 89.65 147.31 38.82 92.87 568.77 565.34 3.52 122720.61 44049.15 370.03 26.50 390.72 29668.12 633.76 225.48 54846.18 20.90 47291.96 41.989 3681935833 119647720337 860844.6 180249145770 234604082610 1752.62 216025967640 20.36 78.350 1014.70 368.39 11.32 1285.47 10.73 18.29 33.399 4935.68 16649.37 0.61 73.74 78.96 1512.57 23.64 66.46 96.58 40.67 4239.52 11.65 0.498 2008186 2003784 0.399 5.289 289.2 554.2 22244804183 2730620000 24.5721181 16.326 6.423 7.368 60.0343 27.828 5.63057327 920427767 1393.56 81.00 9.90 208.47 193.45 26.28 76.72 0.99 155.14 2646.58 12973.0 14.76 94247.77 43228.11 26.734 109.676 196.948 629363 327.88 191.706 1730658.449440 187169 34.27 89.35 364.64 351.58 333.351 3.205 112958788 155609.04 112.64 50.974 106.029 45.22 162957.75 7.639 50884997103 170.930 278973 247255 42.010 222.30 34925899 35068557 433.96 34123810 415.08 33466804 5793 633.58 88.535 5682 709.46 172.717 140.916 72.06 123.61 30.12 75.68 22391.86 0.15 2186.81 24229.14 136.16 2.53 6773.31 2.36 178.82 7.36 2.61 21386.37 25661.04 167.946 1758860000 46715126487 215683.2 67324778360 158788510970 915.80 129198197600 270.068 8.39 6.53 181.94 20.79 0.1 102.216 2213.76 13343.35 7.33 1.06 1.06 0.14 135.87 382.47 1.36 153.12 0.46 48.08 1.026 975031 1043267 0.767 2.766 312.7 589.5 14384917863 2221710000 25.8748328 20.816 14.212 5.983 32.3575 26.041 5.61811686 1032893667 9996.56 394.94 6990.10 947.59 947.86 0.04 423.95 5.58 735.58 5.50 2640.0 119.17 18807.75 9716.99 25.059 129.172 202.445 286.201 1259870.716902 217355 321.29 409.097 4.467 81807706 158700.36 62.301 79.0156 162553.85 8.879 42288513973 224.414 239735 234046 179.52 4776 4784 210.608 168.191 261.11 1222.99 3.07 193219.12 92100.80 1419.11 13.07 1158.43 81996.81 3146.04 1049.66 103413.02 100.15 121293.80 35.805 7667846667 216773475533 996017.5 308308045083 592545362740 4085.20 522113080527 87.19 65.447 3132.48 2417.34 5.16 7222.10 31.72 69.55 27.709 7501.76 42007.57 0.27 284.42 283.40 3666.89 5.07 15.22 315.14 6.60 10382.22 2.21 0.347 2880940 2923009 0.274 7.655 643.4 1201.8 26481506820 4774796667 11.5913086 13.867 5.930 6.480 71.1095 32.785 2.89602661 1843444333 503.38 22.53 4.35 56.21 56.41 61.19 27.60 0.38 50.72 6177.94 31583.8 10.19 210544.87 102392.40 31.471 121.505 190.602 788704 190.79 154.441 2158639.274883 278585 27.74 71.51 409.73 276.23 267.965 2.649 135419169 224859.09 91.88 43.286 124.363 37.12 233014.72 5.678 62253861197 153.800 330633 282593 34.661 218.86 44502333 44699315 355.13 42643903 340.11 40899210 5300 521.98 74.778 5312 598.49 188.676 150.601 59.18 115.96 26.14 66.27 12852.08 0.26 1255.02 38934.15 180.79 2.53 3871.33 2.44 258.59 10.15 4.51 39830.18 49799.57 102.081 3252166667 74306515763 713624.4 103234608683 332345111983 1797.76 283187826230 170.587 14.31 11.19 109.99 33.23 0.18 80.347 3648.43 22031.27 5.52 1.81 1.81 0.25 98.57 221.50 2.32 89.36 0.8 30.08 0.770 1298527 1314317 0.609 4.194 494.2 785.0 32045616820 3991736667 13.7919388 14.258 11.457 4.353 52.4779 37.462 3.15878837 1767349000 5639.78 395.91 3957.74 554.28 553.52 0.08 410.00 3.86 431.90 9.09 10181.1 69.89 28356.70 17223.95 36.725 175.729 291.966 236.482 1608877.078630 316573 409.66 316.005 3.178 119502473 255540.03 43.905 127.985 254864.93 5.914 54438555170 179.999 310517 285523 231.85 5342 5348 187.188 149.597 868.35 466.41 4.36 94143.85 35877.14 280.26 29.99 301.60 21951.03 1022.81 322.27 47216.05 21.82 54301.25 46.541 8195293333 82221279643 468650.6 120825305953 129548766687 2190.39 118402595740 21.48 88.810 689.56 701.00 17.69 2215.74 7.25 20.00 41.168 2579.92 23089.42 0.6 82.47 82.47 1089.83 13.66 43.39 93.23 19.94 3195.58 6.30 0.669 1494445 1509987 0.530 3.951 306.3 581.1 13104599007 5431083333 25.4153391 24.643 6.658 9.343 61.1846 18.028 6.14409192 981877267 1914.27 99.81 12.83 169.57 169.62 16.03 92.77 1.25 149.97 1581.23 7181.4 20.28 78848.08 48423.52 18.369 104.534 164.720 410738 363.60 231.384 1212209.819280 178227 49.01 125.73 239.48 468.20 452.748 3.802 84017019 161127.09 150.06 70.157 99.6480 59.22 160196.24 8.080 39825794840 192.601 230430 208192 46.741 199.80 35460713 35377376 414.40 34625899 408.13 33395968 5820 629.00 90.736 5702 679.86 171.947 140.410 69.43 146.56 36.84 98.45 OpenBenchmarking.org
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 5K 10K 15K 20K 25K SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.38, N = 3 SE +/- 5.72, N = 3 SE +/- 15.60, N = 3 261.11 340.29 568.77 868.35 12852.08 22391.86 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 12821.62 / MAX: 12882.02 -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: Road Segmentation ADAS FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 300 600 900 1200 1500 SE +/- 0.51, N = 3 SE +/- 0.79, N = 3 SE +/- 0.37, N = 3 SE +/- 1.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1222.99 645.74 565.34 466.41 0.26 0.15 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa c7g.16xlarge c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 27.29, N = 3 3.07 3.52 4.36 4.53 1255.02 2186.81 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 1251.83 / MAX: 1261.9 -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
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge c6g.16xlarge 40K 80K 120K 160K 200K SE +/- 560.75, N = 3 SE +/- 42.77, N = 3 SE +/- 122.23, N = 3 SE +/- 80.45, N = 3 SE +/- 19.48, N = 3 SE +/- 7.69, N = 3 193219.12 122720.61 96257.48 94143.85 38934.15 24229.14 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 FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 453.62, N = 3 SE +/- 45.46, N = 3 SE +/- 332.93, N = 3 SE +/- 26.90, N = 3 SE +/- 0.71, N = 3 SE +/- 0.48, N = 3 92100.80 54971.26 44049.15 35877.14 180.79 136.16 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 300 600 900 1200 1500 SE +/- 0.70, N = 3 SE +/- 0.60, N = 3 SE +/- 0.96, N = 3 SE +/- 0.37, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1419.11 964.46 370.03 280.26 2.53 2.53 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.51, N = 3 SE +/- 76.95, N = 3 13.07 18.56 26.50 29.99 3871.33 6773.31 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3868.49 / MAX: 3876.89 -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: Handwritten English Recognition FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 200 400 600 800 1000 SE +/- 0.18, N = 3 SE +/- 1.75, N = 3 SE +/- 1.37, N = 3 SE +/- 2.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 1158.43 761.14 390.72 301.60 2.44 2.36 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 31.79, N = 3 SE +/- 18.42, N = 3 SE +/- 14.46, N = 3 SE +/- 3.74, N = 3 SE +/- 0.88, N = 3 SE +/- 0.39, N = 3 81996.81 43607.04 29668.12 21951.03 258.59 178.82 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 700 1400 2100 2800 3500 SE +/- 1.10, N = 3 SE +/- 4.38, N = 3 SE +/- 1.21, N = 3 SE +/- 3.66, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 3146.04 1764.21 1022.81 633.76 10.15 7.36 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 200 400 600 800 1000 SE +/- 0.11, N = 3 SE +/- 1.04, N = 3 SE +/- 2.90, N = 3 SE +/- 0.93, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1049.66 576.94 322.27 225.48 4.51 2.61 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -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: FT.C m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 446.85, N = 3 SE +/- 137.77, N = 3 SE +/- 57.93, N = 3 SE +/- 13.54, N = 3 SE +/- 600.19, N = 15 SE +/- 2.85, N = 3 103413.02 54846.18 47216.05 39830.18 39647.47 21386.37 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
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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 100.15 69.68 21.82 20.90 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'
c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
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 m7a.16xlarge c2d-standard-56 c7g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 30K 60K 90K 120K 150K SE +/- 526.14, N = 3 SE +/- 99.78, N = 3 SE +/- 10.47, N = 3 SE +/- 145.06, N = 3 SE +/- 29.69, N = 3 SE +/- 10.99, N = 3 121293.80 54301.25 49799.57 47291.96 42701.83 25661.04 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: 2 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 40 80 120 160 200 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 35.81 41.54 41.99 46.54 102.08 167.95 1. (CXX) g++ options: -O3 -fPIC -lm
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 c2d-standard-56 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 2000M 4000M 6000M 8000M 10000M SE +/- 88231529.95, N = 3 SE +/- 49077561.86, N = 3 SE +/- 57202190.49, N = 12 SE +/- 84802173.02, N = 12 SE +/- 2525353.66, N = 3 SE +/- 2970005.61, N = 3 8195293333 7667846667 4289858333 3681935833 3252166667 1758860000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
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: ChaCha20-Poly1305 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 50000M 100000M 150000M 200000M 250000M SE +/- 85099636.22, N = 3 SE +/- 3664727.47, N = 3 SE +/- 198663058.81, N = 3 SE +/- 25534569.58, N = 3 SE +/- 814473.51, N = 3 SE +/- 2259404.37, N = 3 216773475533 123909304773 119647720337 82221279643 74306515763 46715126487 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 m7a.16xlarge t2d-standard-60 AMD Milan c7g.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 c6g.16xlarge 200K 400K 600K 800K 1000K SE +/- 367.82, N = 3 SE +/- 644.45, N = 3 SE +/- 189.99, N = 3 SE +/- 50.91, N = 3 SE +/- 418.00, N = 3 SE +/- 6.55, N = 3 996017.5 860844.6 713624.4 493077.6 468650.6 215683.2 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge c6g.16xlarge 70000M 140000M 210000M 280000M 350000M SE +/- 280681661.27, N = 3 SE +/- 47698640.87, N = 3 SE +/- 12326205.97, N = 3 SE +/- 13175767.44, N = 3 SE +/- 926708.87, N = 3 SE +/- 372419.81, N = 3 308308045083 180249145770 173980949893 120825305953 103234608683 67324778360 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM m7a.16xlarge c3d-standard-60 AMD Genoa c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 130000M 260000M 390000M 520000M 650000M SE +/- 1818538727.73, N = 3 SE +/- 342949201.09, N = 3 SE +/- 38386470.30, N = 3 SE +/- 376720190.05, N = 3 SE +/- 5537993.15, N = 3 SE +/- 2205754.73, N = 3 592545362740 343095284440 332345111983 234604082610 158788510970 129548766687 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -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: IS.D m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 900 1800 2700 3600 4500 SE +/- 3.14, N = 3 SE +/- 36.45, N = 15 SE +/- 3.14, N = 3 SE +/- 1.25, N = 3 SE +/- 142.62, N = 12 SE +/- 0.58, N = 3 4085.20 2422.40 2190.39 1797.76 1752.62 915.80 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
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 m7a.16xlarge c3d-standard-60 AMD Genoa c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 110000M 220000M 330000M 440000M 550000M SE +/- 1691817104.57, N = 3 SE +/- 71241287.97, N = 3 SE +/- 10793448.32, N = 3 SE +/- 178290221.71, N = 3 SE +/- 2100313.05, N = 3 SE +/- 18032723.86, N = 3 522113080527 293328048497 283187826230 216025967640 129198197600 118402595740 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 87.19 62.74 21.48 20.36 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'
c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 60 120 180 240 300 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.34, N = 3 65.45 78.07 78.35 88.81 170.59 270.07 1. (CXX) g++ options: -O3 -fPIC -lm
OpenVINO OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 700 1400 2100 2800 3500 SE +/- 0.31, N = 3 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.77, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3132.48 1875.28 1014.70 689.56 14.31 8.39 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 1.65, N = 3 SE +/- 6.33, N = 3 SE +/- 0.69, N = 3 SE +/- 1.55, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2417.34 1389.69 701.00 368.39 11.19 6.53 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 5.16 8.20 11.32 17.69 109.99 181.94 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 108.37 / MAX: 112.83 -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: Face Detection Retail FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 4.07, N = 3 SE +/- 8.74, N = 3 SE +/- 3.06, N = 3 SE +/- 15.96, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 7222.10 4166.39 2215.74 1285.47 33.23 20.79 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 31.72 18.39 10.73 7.25 0.18 0.10 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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: 16 - Model: ResNet-50 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan 15 30 45 60 75 SE +/- 0.20, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 69.55 50.99 20.00 18.29 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'
c7g.16xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'absl'
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 m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 20 40 60 80 100 SE +/- 0.29, N = 5 SE +/- 0.37, N = 5 SE +/- 0.54, N = 3 SE +/- 0.65, N = 3 SE +/- 0.82, N = 3 27.71 33.40 41.17 80.35 102.22 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
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c7g.16xlarge c2d-standard-56 c6g.16xlarge 1600 3200 4800 6400 8000 SE +/- 8.54, N = 3 SE +/- 51.21, N = 5 SE +/- 30.67, N = 3 SE +/- 25.41, N = 13 SE +/- 36.32, N = 3 SE +/- 7.28, N = 3 7501.76 4935.68 3783.60 3648.43 2579.92 2213.76 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
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C m7a.16xlarge c2d-standard-56 c7g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 9K 18K 27K 36K 45K SE +/- 178.46, N = 3 SE +/- 206.16, N = 7 SE +/- 25.33, N = 3 SE +/- 77.92, N = 3 SE +/- 1215.82, N = 15 SE +/- 23.52, N = 3 42007.57 23089.42 22031.27 19597.86 16649.37 13343.35 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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 0.27 0.40 0.60 0.61 5.52 7.33 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 4.5 / MAX: 9.53 -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: Person Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 60 120 180 240 300 SE +/- 0.53, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 3.12, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 284.42 142.75 82.47 73.74 1.81 1.06 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 60 120 180 240 300 SE +/- 0.29, N = 3 SE +/- 0.48, N = 3 SE +/- 0.14, N = 3 SE +/- 2.74, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 283.40 142.90 82.47 78.96 1.81 1.06 -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 800 1600 2400 3200 4000 SE +/- 1.69, N = 3 SE +/- 3.16, N = 3 SE +/- 1.12, N = 3 SE +/- 1.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 15 3666.89 2043.05 1512.57 1089.83 0.25 0.14 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 5.07 6.79 13.66 23.64 98.57 135.87 -pie - MIN: 9.57 / MAX: 42.22 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 94.4 / MAX: 118.88 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 80 160 240 320 400 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.39, N = 3 SE +/- 0.27, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 15.22 20.77 43.39 66.46 221.50 382.47 -pie - MIN: 25.85 / MAX: 122.2 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 220.78 / MAX: 223.35 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 70 140 210 280 350 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 315.14 185.29 96.58 93.23 2.32 1.36 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 6.60 8.62 19.94 40.67 89.36 153.12 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.94 -pie - MIN: 12.07 / MAX: 59.44 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 88.98 / MAX: 90.65 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 2K 4K 6K 8K 10K SE +/- 3.60, N = 3 SE +/- 6.52, N = 3 SE +/- 2.08, N = 3 SE +/- 2.82, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 10382.22 6605.12 4239.52 3195.58 0.80 0.46 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 2.21 2.87 6.30 11.65 30.08 48.08 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.5 -pie - MIN: 3.76 / MAX: 29.1 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 29.37 / MAX: 32.17 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
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: 1000 - Mode: Read Only - Average Latency m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.000, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 0.347 0.498 0.669 0.770 1.026 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 2874.04, N = 3 SE +/- 22497.42, N = 3 SE +/- 9220.12, N = 3 SE +/- 11830.85, N = 3 SE +/- 12606.16, N = 3 2880940 2008186 1494445 1298527 975031 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
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 13309.30, N = 3 SE +/- 20558.90, N = 3 SE +/- 20718.28, N = 3 SE +/- 14241.12, N = 3 SE +/- 12058.27, N = 3 2923009 2003784 1509987 1314317 1043267 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 ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 0.274 0.399 0.530 0.609 0.767 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c7g.16xlarge c2d-standard-56 c6g.16xlarge 2 4 6 8 10 SE +/- 0.035, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 7.655 5.289 4.391 4.194 3.951 2.766 1. (CXX) g++ options: -O3
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 m7a.16xlarge c7g.16xlarge c6g.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 140 280 420 560 700 SE +/- 0.40, N = 3 SE +/- 0.07, N = 3 SE +/- 0.47, N = 3 SE +/- 0.38, N = 3 SE +/- 3.60, N = 4 SE +/- 0.19, N = 3 643.4 494.2 312.7 306.3 289.2 255.4 -lquadmath -msse4.2 -march=armv8.1-a -march=armv8.1-a -lquadmath -msse4.2 -lquadmath -msse4.2 -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
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 m7a.16xlarge c7g.16xlarge c6g.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 300 600 900 1200 1500 SE +/- 0.52, N = 3 SE +/- 0.03, N = 3 SE +/- 0.96, N = 3 SE +/- 1.99, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 1201.8 785.0 589.5 581.1 554.2 489.7 -lquadmath -msse4.2 -march=armv8.1-a -march=armv8.1-a -lquadmath -msse4.2 -lquadmath -msse4.2 -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
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: SHA512 c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge c2d-standard-56 7000M 14000M 21000M 28000M 35000M SE +/- 9797429.91, N = 3 SE +/- 29763937.73, N = 3 SE +/- 108274834.92, N = 3 SE +/- 4399663.13, N = 3 SE +/- 6214593.12, N = 3 SE +/- 631939.37, N = 3 32045616820 26481506820 22244804183 14702270573 14384917863 13104599007 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
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 c2d-standard-56 m7a.16xlarge c3d-standard-60 AMD Genoa c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 1200M 2400M 3600M 4800M 6000M SE +/- 4494968.79, N = 3 SE +/- 6657808.28, N = 3 SE +/- 201939132.13, N = 12 SE +/- 1792766.33, N = 3 SE +/- 481352.26, N = 3 SE +/- 1790009.31, N = 3 5431083333 4774796667 4723940000 3991736667 2730620000 2221710000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c6g.16xlarge c3d-standard-60 AMD Genoa 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.31, N = 12 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.25, N = 3 11.59 13.79 24.57 25.42 25.87 28.02 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
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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 13.87 14.26 16.33 20.82 24.64 33.36 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -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 Streamcluster m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge c6g.16xlarge 4 8 12 16 20 SE +/- 0.049, N = 3 SE +/- 0.009, N = 3 SE +/- 0.104, N = 15 SE +/- 0.009, N = 3 SE +/- 0.124, N = 3 SE +/- 0.017, N = 3 5.930 6.423 6.448 6.658 11.457 14.212 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c7g.16xlarge c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa 3 6 9 12 15 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 4.353 5.983 6.480 7.368 9.343 10.025 1. (CXX) g++ options: -O2 -lOpenCL
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 m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c7g.16xlarge c6g.16xlarge 16 32 48 64 80 SE +/- 0.63, N = 15 SE +/- 0.78, N = 15 SE +/- 0.66, N = 3 SE +/- 1.29, N = 15 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 71.11 61.18 60.03 57.31 52.48 32.36 1. (CXX) g++ options: -O3
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.54, N = 12 37.46 32.79 27.83 26.04 18.03 17.42 -lm -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
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 m7a.16xlarge c7g.16xlarge c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 2 4 6 8 10 SE +/- 0.03993251, N = 3 SE +/- 0.01236463, N = 3 SE +/- 0.01888616, N = 3 SE +/- 0.02210564, N = 3 SE +/- 0.04970425, N = 3 SE +/- 0.02575719, N = 3 2.89602661 3.15878837 5.61811686 5.63057327 5.87157885 6.14409192 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
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 m7a.16xlarge c7g.16xlarge c6g.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 400M 800M 1200M 1600M 2000M SE +/- 1428129.35, N = 3 SE +/- 536620.29, N = 3 SE +/- 176147.98, N = 3 SE +/- 999273.29, N = 3 SE +/- 2060519.90, N = 3 SE +/- 1088162.98, N = 3 1843444333 1767349000 1032893667 981877267 962889833 920427767 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 2K 4K 6K 8K 10K SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 SE +/- 3.85, N = 3 SE +/- 1.45, N = 3 SE +/- 1.02, N = 3 503.38 648.81 1393.56 1914.27 5639.78 9996.56 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 1788.62 / MAX: 2033.22 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 5635.22 / MAX: 5646.39 -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 ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c6g.16xlarge c7g.16xlarge 90 180 270 360 450 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 2.18, N = 3 SE +/- 1.65, N = 3 22.53 31.08 81.00 99.81 394.94 395.91 -pie - MIN: 64.65 / MAX: 134.64 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 55.12 / MAX: 150.04 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 380.35 / MAX: 415.38 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-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 1.04, N = 3 SE +/- 27.09, N = 15 4.35 5.86 9.90 12.83 3957.74 6990.10 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3952.99 / MAX: 3967.18 -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 ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 200 400 600 800 1000 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.29, N = 3 SE +/- 9.17, N = 15 SE +/- 0.71, N = 3 SE +/- 0.37, N = 3 56.21 83.99 169.57 208.47 554.28 947.59 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.7 -pie - MIN: 119.65 / MAX: 316.01 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 550.22 / MAX: 563.55 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 200 400 600 800 1000 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 7.79, N = 15 SE +/- 0.11, N = 3 SE +/- 0.55, N = 3 56.41 83.91 169.62 193.45 553.52 947.86 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.35 -pie - MIN: 113.44 / MAX: 315.54 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 549.89 / MAX: 562.06 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 14 28 42 56 70 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 61.19 35.19 26.28 16.03 0.08 0.04 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 90 180 270 360 450 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.65, N = 3 SE +/- 3.34, N = 3 SE +/- 0.26, N = 3 27.60 39.38 76.72 92.77 410.00 423.95 -pie - MIN: 58.8 / MAX: 121.69 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 51.49 / MAX: 118.72 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 391.1 / MAX: 424.93 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.57 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 1.2555 2.511 3.7665 5.022 6.2775 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 0.38 0.52 0.99 1.25 3.86 5.58 -pie - MIN: 0.8 / MAX: 13.76 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 0.71 / MAX: 15.89 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3.63 / MAX: 5.36 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.48 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 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge c6g.16xlarge 160 320 480 640 800 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.58, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 50.72 64.70 149.97 155.14 431.90 735.58 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.4 -pie - MIN: 114.75 / MAX: 224.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 430.12 / MAX: 435.25 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23 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 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c7g.16xlarge c6g.16xlarge 1300 2600 3900 5200 6500 SE +/- 4.43, N = 3 SE +/- 3.28, N = 3 SE +/- 3.26, N = 3 SE +/- 0.68, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6177.94 3650.57 2646.58 1581.23 9.09 5.50 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 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 sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c7g.16xlarge c2d-standard-56 c6g.16xlarge 7K 14K 21K 28K 35K SE +/- 24.57, N = 3 SE +/- 14.62, N = 3 SE +/- 11.58, N = 3 SE +/- 1.56, N = 3 SE +/- 0.44, N = 3 SE +/- 0.09, N = 3 31583.8 20079.5 12973.0 10181.1 7181.4 2640.0 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 10.19 14.76 15.98 20.28 69.89 119.17 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 14.46 / MAX: 30.6 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 69.44 / MAX: 71.41 -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
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: LU.C m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa c7g.16xlarge c6g.16xlarge 50K 100K 150K 200K 250K SE +/- 661.61, N = 3 SE +/- 1463.52, N = 15 SE +/- 22.13, N = 3 SE +/- 293.57, N = 3 SE +/- 30.15, N = 3 SE +/- 7.52, N = 3 210544.87 94247.77 78848.08 73563.13 28356.70 18807.75 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: SP.C m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c7g.16xlarge c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 91.17, N = 3 SE +/- 113.84, N = 3 SE +/- 555.92, N = 3 SE +/- 45.01, N = 3 SE +/- 40.05, N = 3 SE +/- 0.76, N = 3 102392.40 48423.52 43228.11 39919.71 17223.95 9716.99 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
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 8 16 24 32 40 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 36.73 31.47 26.73 25.06 19.78 18.37 -lm -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
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: float - X Y Z: 128 c7g.16xlarge c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa 40 80 120 160 200 SE +/- 0.44, N = 3 SE +/- 0.11, N = 3 SE +/- 1.44, N = 15 SE +/- 0.78, N = 3 SE +/- 1.06, N = 3 SE +/- 0.52, N = 3 175.73 129.17 121.51 109.68 104.53 88.63 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 c7g.16xlarge c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa 60 120 180 240 300 SE +/- 0.59, N = 3 SE +/- 0.57, N = 3 SE +/- 0.82, N = 3 SE +/- 2.16, N = 15 SE +/- 1.51, N = 6 SE +/- 2.19, N = 12 291.97 202.45 196.95 190.60 164.72 148.58 1. (CXX) g++ options: -O3
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 200K 400K 600K 800K 1000K 788704 629363 510819 410738 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
c7g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 80 160 240 320 400 SE +/- 0.61, N = 3 SE +/- 1.48, N = 3 SE +/- 2.03, N = 3 SE +/- 0.14, N = 3 190.79 327.88 337.70 363.60
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c7g.16xlarge c6g.16xlarge 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.26, N = 3 SE +/- 0.31, N = 3 SE +/- 0.11, N = 3 154.44 191.71 198.39 231.38 236.48 286.20
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 m7a.16xlarge t2d-standard-60 AMD Milan c7g.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge c2d-standard-56 500K 1000K 1500K 2000K 2500K SE +/- 1437.63, N = 3 SE +/- 9191.61, N = 3 SE +/- 11587.63, N = 15 SE +/- 1295.68, N = 3 SE +/- 635.29, N = 3 SE +/- 833.48, N = 3 2158639.27 1730658.45 1608877.08 1445843.52 1259870.72 1212209.82 1. (CC) gcc options: -O2 -lrt" -lrt
Apache Cassandra This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes c7g.16xlarge m7a.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 70K 140K 210K 280K 350K SE +/- 2261.70, N = 3 SE +/- 352.65, N = 3 SE +/- 1129.40, N = 3 SE +/- 3249.94, N = 12 SE +/- 681.76, N = 3 SE +/- 1718.54, N = 3 316573 278585 228640 217355 187169 178227
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 27.74 34.27 49.01 Blend File: BMW27 - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 71.51 89.35 125.73 Blend File: Classroom - 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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 90 180 270 360 450 SE +/- 1.29, N = 3 SE +/- 0.57, N = 3 SE +/- 0.62, N = 3 SE +/- 0.79, N = 3 SE +/- 0.31, N = 3 SE +/- 0.02, N = 3 409.73 409.66 364.64 321.29 259.55 239.48 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 100 200 300 400 500 SE +/- 0.49, N = 3 SE +/- 0.60, N = 3 SE +/- 0.71, N = 3 276.23 351.58 468.20 Blend File: Barbershop - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 100 200 300 400 500 SE +/- 0.37, N = 3 SE +/- 0.81, N = 3 SE +/- 1.20, N = 3 SE +/- 2.41, N = 3 SE +/- 1.50, N = 3 267.97 316.01 333.35 409.10 452.75 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
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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c6g.16xlarge 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.007, N = 3 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 2.649 3.178 3.205 3.250 3.802 4.467 1. (CXX) g++ options: -O3 -fPIC -lm
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 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 c6g.16xlarge 30M 60M 90M 120M 150M SE +/- 1001447.21, N = 3 SE +/- 1921303.63, N = 15 SE +/- 1618403.29, N = 14 SE +/- 1450871.09, N = 3 SE +/- 705199.36, N = 15 SE +/- 1645401.81, N = 15 135419169 119502473 112958788 105894457 84017019 81807706 -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 -m64 -msse -msse3 -mpopcnt -mavx2 -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
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 c7g.16xlarge m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 c6g.16xlarge t2d-standard-60 AMD Milan 50K 100K 150K 200K 250K SE +/- 141.46, N = 3 SE +/- 260.28, N = 3 SE +/- 688.79, N = 3 SE +/- 157.70, N = 3 SE +/- 132.24, N = 3 SE +/- 156.32, N = 3 255540.03 224859.09 180537.84 161127.09 158700.36 155609.04 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: Pabellon Barcelona - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 91.88 112.64 150.06 Blend File: Pabellon Barcelona - 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 LavaMD m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 16 32 48 64 80 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 43.29 43.91 50.97 62.30 64.86 70.16 1. (CXX) g++ options: -O2 -lOpenCL
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 c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 1.18, N = 15 SE +/- 0.91, N = 3 SE +/- 1.39, N = 3 SE +/- 1.78, N = 12 SE +/- 0.71, N = 3 127.99 124.36 106.03 99.65 93.60 79.02 1. (CXX) g++ options: -O3
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 13 26 39 52 65 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 37.12 45.22 59.22 Blend File: Fishy Cat - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
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: 500 c7g.16xlarge m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge c2d-standard-56 50K 100K 150K 200K 250K SE +/- 757.47, N = 3 SE +/- 451.60, N = 3 SE +/- 126.15, N = 3 SE +/- 394.72, N = 3 SE +/- 249.05, N = 3 SE +/- 513.44, N = 3 254864.93 233014.72 187350.44 162957.75 162553.85 160196.24 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
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 m7a.16xlarge c7g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 c6g.16xlarge 2 4 6 8 10 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.099, N = 3 SE +/- 0.031, N = 3 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 5.678 5.914 6.889 7.639 8.080 8.879 1. (CXX) g++ options: -O3 -fPIC -lm
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: SHA256 m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge c2d-standard-56 13000M 26000M 39000M 52000M 65000M SE +/- 161718701.08, N = 3 SE +/- 1709212.75, N = 3 SE +/- 20491615.60, N = 3 SE +/- 9562123.40, N = 3 SE +/- 192235444.29, N = 3 SE +/- 7310870.38, N = 3 62253861197 54438555170 50884997103 46211821313 42288513973 39825794840 -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c7g.16xlarge c2d-standard-56 c6g.16xlarge 50 100 150 200 250 SE +/- 0.39, N = 3 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 153.80 170.93 176.77 180.00 192.60 224.41
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: Compression Rating m7a.16xlarge c7g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge c2d-standard-56 70K 140K 210K 280K 350K SE +/- 400.99, N = 3 SE +/- 291.75, N = 3 SE +/- 388.74, N = 3 SE +/- 346.51, N = 3 SE +/- 359.95, N = 3 SE +/- 214.91, N = 3 330633 310517 278973 271795 239735 230430 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 60K 120K 180K 240K 300K SE +/- 141.62, N = 3 SE +/- 342.37, N = 3 SE +/- 347.74, N = 3 SE +/- 57.33, N = 3 SE +/- 519.21, N = 3 SE +/- 140.45, N = 3 285523 282593 247255 234046 226211 208192 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 11 22 33 44 55 SE +/- 0.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 SE +/- 0.24, N = 3 34.66 42.01 45.50 46.74 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP Leukocyte
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: 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: Triple Point Problem c7g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 c6g.16xlarge 50 100 150 200 250 SE +/- 0.90, N = 3 SE +/- 1.77, N = 3 SE +/- 1.67, N = 3 SE +/- 0.22, N = 3 SE +/- 0.61, N = 3 SE +/- 0.50, N = 3 231.85 222.30 218.86 209.00 199.80 179.52 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 10M 20M 30M 40M 50M SE +/- 224779.59, N = 3 SE +/- 80227.43, N = 3 SE +/- 221111.93, N = 3 SE +/- 188621.29, N = 3 44502333 35460713 34925899 34762565 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.
c7g.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 m7a.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 10M 20M 30M 40M 50M SE +/- 99649.31, N = 3 SE +/- 248722.01, N = 3 SE +/- 267152.12, N = 3 SE +/- 354923.23, N = 3 44699315 35377376 35359884 35068557 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.
c7g.16xlarge: The test quit with a non-zero exit status.
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 m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 100 200 300 400 500 SE +/- 7.15, N = 3 SE +/- 4.37, N = 3 SE +/- 35.57, N = 3 SE +/- 27.08, N = 3 355.13 414.40 433.96 447.68 MAX: 67149.77 MAX: 91109.59 MAX: 103381.73 MAX: 95136.87 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.
c7g.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 m7a.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 9M 18M 27M 36M 45M SE +/- 111073.27, N = 3 SE +/- 177230.11, N = 3 SE +/- 66565.66, N = 3 SE +/- 130588.20, N = 3 42643903 34625899 34332237 34123810 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.
c7g.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: 500 - Client Number: 400 m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 90 180 270 360 450 SE +/- 4.92, N = 3 SE +/- 2.53, N = 3 SE +/- 4.08, N = 3 SE +/- 2.14, N = 3 340.11 408.13 415.08 418.59 MAX: 37899.66 MAX: 33039.23 MAX: 28810.4 MAX: 31920.67 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.
c7g.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 m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa 9M 18M 27M 36M 45M SE +/- 457186.43, N = 3 SE +/- 303573.79, N = 3 SE +/- 247504.71, N = 3 SE +/- 154587.14, N = 3 40899210 33466804 33395968 33268158 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.
c7g.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 c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge m7a.16xlarge c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 50.46, N = 12 SE +/- 49.93, N = 8 SE +/- 23.65, N = 3 SE +/- 16.57, N = 3 SE +/- 124.50, N = 9 5820 5793 5342 5300 4776 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 Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 m7a.16xlarge c3d-standard-60 AMD Genoa c2d-standard-56 t2d-standard-60 AMD Milan 140 280 420 560 700 SE +/- 0.65, N = 3 SE +/- 3.18, N = 3 SE +/- 13.51, N = 3 SE +/- 12.58, N = 3 521.98 623.89 629.00 633.58 MAX: 34235.44 MAX: 41831.2 MAX: 48846.34 MAX: 54749.7 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.
c7g.16xlarge: 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 HotSpot3D m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c2d-standard-56 20 40 60 80 100 SE +/- 0.74, N = 15 SE +/- 0.86, N = 15 SE +/- 1.83, N = 12 SE +/- 1.43, N = 15 74.78 84.17 88.54 90.74 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP HotSpot3D
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.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 c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge m7a.16xlarge c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 47.23, N = 12 SE +/- 49.28, N = 12 SE +/- 29.72, N = 3 SE +/- 13.63, N = 3 SE +/- 109.40, N = 12 5702 5682 5348 5312 4784 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
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 m7a.16xlarge c2d-standard-56 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 150 300 450 600 750 SE +/- 4.86, N = 3 SE +/- 1.38, N = 3 SE +/- 7.53, N = 3 SE +/- 25.87, N = 3 598.49 679.86 682.12 709.46 MAX: 62432.53 MAX: 79453.07 MAX: 98294.84 MAX: 113264.06 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.
c7g.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 ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge m7a.16xlarge c6g.16xlarge 50 100 150 200 250 SE +/- 1.46, N = 12 SE +/- 1.44, N = 8 SE +/- 0.83, N = 3 SE +/- 0.59, N = 3 SE +/- 6.00, N = 9 171.95 172.72 187.19 188.68 210.61 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: 800 - Mode: Read Write - Average Latency c2d-standard-56 t2d-standard-60 AMD Milan c7g.16xlarge m7a.16xlarge c6g.16xlarge 40 80 120 160 200 SE +/- 1.15, N = 12 SE +/- 1.23, N = 12 SE +/- 0.83, N = 3 SE +/- 0.39, N = 3 SE +/- 3.85, N = 12 140.41 140.92 149.60 150.60 168.19 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.
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
c2d-standard-56: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation m7a.16xlarge c2d-standard-56 t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 20 40 60 80 100 SE +/- 0.73, N = 3 SE +/- 0.24, N = 3 SE +/- 0.22, N = 3 SE +/- 4.01, N = 12 59.18 69.43 72.06 89.65
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.41, N = 3 SE +/- 3.26, N = 9 115.96 123.61 146.56 147.31
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test m7a.16xlarge t2d-standard-60 AMD Milan c2d-standard-56 c3d-standard-60 AMD Genoa 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.39, N = 15 SE +/- 0.12, N = 3 SE +/- 1.27, N = 15 26.14 30.12 36.84 38.82
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c2d-standard-56 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 1.56, N = 15 SE +/- 0.85, N = 3 66.27 75.68 92.87 98.45
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.
c7g.16xlarge Processor: ARMv8 Neoverse-V1 (64 Cores), Motherboard: Amazon EC2 c7g.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 8 October 2023 21:54 by user ubuntu.
c2d-standard-56 Processor: AMD EPYC 7B13 (28 Cores / 56 Threads), Motherboard: Google Compute Engine c2d-standard-56, Chipset: Intel 440FX 82441FX PMC, Memory: 224GB, 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: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 October 2023 17:27 by user michael_larabel.