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 pgbench: 100 - 800 - Read Write - Average Latency blender: Barbershop - CPU-Only lammps: 20k Atoms pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Write - Average Latency apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 openradioss: Chrysler Neon 1M rodinia: OpenMP HotSpot3D build-linux-kernel: allmodconfig pgbench: 100 - 1000 - Read Write stockfish: Total Time nekrs: Kershaw nekrs: TurboPipe Periodic apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 build-nodejs: Time To Compile openradioss: Bird Strike on Windshield cassandra: Writes build-gem5: Time To Compile openssl: AES-256-GCM openssl: ChaCha20 openssl: AES-128-GCM openssl: ChaCha20-Poly1305 openssl: SHA512 openssl: SHA256 openradioss: Bumper Beam brl-cad: VGR Performance Metric apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency openradioss: Rubber O-Ring Seal Installation tensorflow: CPU - 64 - ResNet-50 avifenc: 0 pgbench: 100 - 800 - Read Only pgbench: 100 - 1000 - Read Only openradioss: Cell Phone Drop Test blender: Pabellon Barcelona - CPU-Only openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU laghos: Sedov Blast Wave, ube_922_hex.mesh blender: Classroom - CPU-Only nginx: 1000 nginx: 500 openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU tensorflow: CPU - 32 - ResNet-50 avifenc: 2 openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU npb: EP.D openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU npb: LU.C openssl: RSA4096 openssl: RSA4096 npb: SP.C rodinia: OpenMP LavaMD build-linux-kernel: defconfig laghos: Triple Point Problem npb: IS.D npb: BT.C gromacs: MPI CPU - water_GMX50_bare blender: Fishy Cat - CPU-Only tensorflow: CPU - 16 - ResNet-50 blender: BMW27 - CPU-Only incompact3d: input.i3d 193 Cells Per Direction rodinia: OpenMP Leukocyte coremark: CoreMark Size 666 - Iterations Per Second compress-7zip: Decompression Rating compress-7zip: Compression Rating amg: remhos: Sample Remap Example libxsmm: 64 libxsmm: 32 npb: FT.C npb: CG.C rodinia: OpenMP Streamcluster rodinia: OpenMP CFD Solver avifenc: 6, Lossless incompact3d: input.i3d 129 Cells Per Direction npb: MG.C avifenc: 6 heffte: c2c - FFTW - double - 128 lammps: Rhodopsin Protein heffte: r2c - FFTW - double - 128 heffte: r2c - FFTW - float - 128 heffte: c2c - FFTW - float - 128 openradioss: INIVOL and Fluid Structure Interaction Drop Container c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 19.776 682.12 35359884 337.70 84.166 105894457 4289858333 4723940000 447.68 34332237 34762565 623.89 198.394 147.31 228640 176.767 293328048497 173980949893 343095284440 123909304773 14702270573 46211821313 92.87 510819 418.59 33268158 89.65 69.68 78.068 38.82 5.86 2043.05 83.99 142.75 83.91 142.90 259.55 180537.84 187350.44 340.29 35.19 62.74 41.538 648.81 18.39 18.56 645.74 3783.60 4.53 6605.12 64.70 185.29 6.79 1764.21 20.77 576.94 39.38 761.14 31.08 964.46 8.62 1389.69 8.20 3650.57 15.98 1875.28 2.87 4166.39 0.4 54971.26 0.52 43607.04 73563.13 493077.6 20079.5 39919.71 64.862 209.00 2422.40 96257.48 4.391 50.99 28.0196877 45.498 1445843.521552 226211 271795 962889833 33.362 489.7 255.4 39647.47 19597.86 6.448 10.025 6.889 5.87157885 42701.83 3.250 57.3116 17.423 93.6005 148.575 88.6301 140.916 351.58 26.734 5682 172.717 709.46 35068557 327.88 88.535 333.351 5793 112958788 3681935833 2730620000 433.96 34123810 34925899 633.58 191.706 123.61 187169 170.930 216025967640 180249145770 234604082610 119647720337 22244804183 50884997103 75.68 629363 415.08 33466804 0.399 0.498 72.06 20.90 78.350 2003784 2008186 30.12 112.64 9.90 1512.57 208.47 73.74 193.45 78.96 364.64 89.35 155609.04 162957.75 568.77 26.28 20.36 41.989 1393.56 10.73 26.50 565.34 4935.68 3.52 4239.52 155.14 96.58 23.64 633.76 66.46 225.48 76.72 390.72 81.00 370.03 40.67 368.39 11.32 2646.58 14.76 1014.70 11.65 1285.47 0.61 44049.15 0.99 29668.12 94247.77 860844.6 12973.0 43228.11 50.974 33.399 222.30 1752.62 122720.61 5.289 45.22 18.29 34.27 24.5721181 42.010 1730658.449440 247255 278973 920427767 16.326 554.2 289.2 54846.18 16649.37 6.423 7.368 7.639 5.63057327 47291.96 3.205 60.0343 27.828 106.029 196.948 109.676 168.191 25.059 4784 210.608 409.097 4776 81807706 1758860000 2221710000 286.201 217355 224.414 129198197600 67324778360 158788510970 46715126487 14384917863 42288513973 0.767 1.026 270.068 1043267 975031 6990.10 0.14 947.59 1.06 947.86 1.06 321.29 158700.36 162553.85 22391.86 0.04 167.946 9996.56 0.1 6773.31 0.15 2213.76 2186.81 0.46 735.58 1.36 135.87 7.36 382.47 2.61 423.95 2.36 394.94 2.53 153.12 6.53 181.94 5.50 119.17 8.39 48.08 20.79 7.33 136.16 5.58 178.82 18807.75 215683.2 2640.0 9716.99 62.301 102.216 179.52 915.80 24229.14 2.766 25.8748328 1259870.716902 234046 239735 1032893667 20.816 589.5 312.7 21386.37 13343.35 14.212 5.983 8.879 5.61811686 25661.04 4.467 32.3575 26.041 79.0156 202.445 129.172 150.601 276.23 31.471 5312 188.676 598.49 44699315 190.79 74.778 267.965 5300 135419169 7667846667 4774796667 355.13 42643903 44502333 521.98 154.441 115.96 278585 153.800 522113080527 308308045083 592545362740 216773475533 26481506820 62253861197 66.27 788704 340.11 40899210 0.274 0.347 59.18 100.15 65.447 2923009 2880940 26.14 91.88 4.35 3666.89 56.21 284.42 56.41 283.40 409.73 71.51 224859.09 233014.72 261.11 61.19 87.19 35.805 503.38 31.72 13.07 1222.99 7501.76 3.07 10382.22 50.72 315.14 5.07 3146.04 15.22 1049.66 27.60 1158.43 22.53 1419.11 6.60 2417.34 5.16 6177.94 10.19 3132.48 2.21 7222.10 0.27 92100.80 0.38 81996.81 210544.87 996017.5 31583.8 102392.40 43.286 27.709 218.86 4085.20 193219.12 7.655 37.12 69.55 27.74 11.5913086 34.661 2158639.274883 282593 330633 1843444333 13.867 1201.8 643.4 103413.02 42007.57 5.930 6.480 5.678 2.89602661 121293.80 2.649 71.1095 32.785 124.363 190.602 121.505 149.597 36.725 5348 187.188 316.005 5342 119502473 3252166667 3991736667 236.482 316573 179.999 283187826230 103234608683 332345111983 74306515763 32045616820 54438555170 0.609 0.770 170.587 1314317 1298527 3957.74 0.25 554.28 1.81 553.52 1.81 409.66 255540.03 254864.93 12852.08 0.08 102.081 5639.78 0.18 3871.33 0.26 3648.43 1255.02 0.8 431.90 2.32 98.57 10.15 221.50 4.51 410.00 2.44 395.91 2.53 89.36 11.19 109.99 9.09 69.89 14.31 30.08 33.23 5.52 180.79 3.86 258.59 28356.70 713624.4 10181.1 17223.95 43.905 80.347 231.85 1797.76 38934.15 4.194 13.7919388 1608877.078630 285523 310517 1767349000 14.258 785.0 494.2 39830.18 22031.27 11.457 4.353 5.914 3.15878837 49799.57 3.178 52.4779 37.462 127.985 291.966 175.729 140.410 468.20 18.369 5702 171.947 679.86 35377376 363.60 90.736 452.748 5820 84017019 8195293333 5431083333 414.40 34625899 35460713 629.00 231.384 146.56 178227 192.601 118402595740 120825305953 129548766687 82221279643 13104599007 39825794840 98.45 410738 408.13 33395968 0.530 0.669 69.43 21.82 88.810 1509987 1494445 36.84 150.06 12.83 1089.83 169.57 82.47 169.62 82.47 239.48 125.73 161127.09 160196.24 868.35 16.03 21.48 46.541 1914.27 7.25 29.99 466.41 2579.92 4.36 3195.58 149.97 93.23 13.66 1022.81 43.39 322.27 92.77 301.60 99.81 280.26 19.94 701.00 17.69 1581.23 20.28 689.56 6.30 2215.74 0.6 35877.14 1.25 21951.03 78848.08 468650.6 7181.4 48423.52 70.157 41.168 199.80 2190.39 94143.85 3.951 59.22 20.00 49.01 25.4153391 46.741 1212209.819280 208192 230430 981877267 24.643 581.1 306.3 47216.05 23089.42 6.658 9.343 8.080 6.14409192 54301.25 3.802 61.1846 18.028 99.6480 164.720 104.534 OpenBenchmarking.org
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40 80 120 160 200 SE +/- 1.15, N = 12 SE +/- 3.85, N = 12 SE +/- 0.83, N = 3 SE +/- 0.39, N = 3 SE +/- 1.23, N = 12 140.41 168.19 149.60 150.60 140.92 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only c2d-standard-56 m7a.16xlarge t2d-standard-60 AMD Milan 100 200 300 400 500 SE +/- 0.71, N = 3 SE +/- 0.49, N = 3 SE +/- 0.60, N = 3 468.20 276.23 351.58 Blend File: Barbershop - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 18.37 19.78 25.06 36.73 31.47 26.73 -lm -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
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 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1200 2400 3600 4800 6000 SE +/- 47.23, N = 12 SE +/- 109.40, N = 12 SE +/- 29.72, N = 3 SE +/- 13.63, N = 3 SE +/- 49.28, N = 12 5702 4784 5348 5312 5682 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 800 - Mode: Read Write
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50 100 150 200 250 SE +/- 1.46, N = 12 SE +/- 6.00, N = 9 SE +/- 0.83, N = 3 SE +/- 0.59, N = 3 SE +/- 1.44, N = 8 171.95 210.61 187.19 188.68 172.72 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 150 300 450 600 750 SE +/- 1.38, N = 3 SE +/- 7.53, N = 3 SE +/- 4.86, N = 3 SE +/- 25.87, N = 3 679.86 682.12 598.49 709.46 MAX: 79453.07 MAX: 98294.84 MAX: 62432.53 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.
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 10M 20M 30M 40M 50M SE +/- 248722.01, N = 3 SE +/- 267152.12, N = 3 SE +/- 99649.31, N = 3 SE +/- 354923.23, N = 3 35377376 35359884 44699315 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.
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 80 160 240 320 400 SE +/- 0.14, N = 3 SE +/- 2.03, N = 3 SE +/- 0.61, N = 3 SE +/- 1.48, N = 3 363.60 337.70 190.79 327.88
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 1.43, N = 15 SE +/- 0.86, N = 15 SE +/- 0.74, N = 15 SE +/- 1.83, N = 12 90.74 84.17 74.78 88.54 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.
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 c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 100 200 300 400 500 SE +/- 1.50, N = 3 SE +/- 2.41, N = 3 SE +/- 0.81, N = 3 SE +/- 0.37, N = 3 SE +/- 1.20, N = 3 452.75 409.10 316.01 267.97 333.35 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
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 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1200 2400 3600 4800 6000 SE +/- 50.46, N = 12 SE +/- 124.50, N = 9 SE +/- 23.65, N = 3 SE +/- 16.57, N = 3 SE +/- 49.93, N = 8 5820 4776 5342 5300 5793 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30M 60M 90M 120M 150M SE +/- 705199.36, N = 15 SE +/- 1450871.09, N = 3 SE +/- 1645401.81, N = 15 SE +/- 1921303.63, N = 15 SE +/- 1001447.21, N = 3 SE +/- 1618403.29, N = 14 84017019 105894457 81807706 119502473 135419169 112958788 -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 -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
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 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2000M 4000M 6000M 8000M 10000M SE +/- 88231529.95, N = 3 SE +/- 57202190.49, N = 12 SE +/- 2970005.61, N = 3 SE +/- 2525353.66, N = 3 SE +/- 49077561.86, N = 3 SE +/- 84802173.02, N = 12 8195293333 4289858333 1758860000 3252166667 7667846667 3681935833 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1200M 2400M 3600M 4800M 6000M SE +/- 4494968.79, N = 3 SE +/- 201939132.13, N = 12 SE +/- 1790009.31, N = 3 SE +/- 1792766.33, N = 3 SE +/- 6657808.28, N = 3 SE +/- 481352.26, N = 3 5431083333 4723940000 2221710000 3991736667 4774796667 2730620000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -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 Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 100 200 300 400 500 SE +/- 4.37, N = 3 SE +/- 27.08, N = 3 SE +/- 7.15, N = 3 SE +/- 35.57, N = 3 414.40 447.68 355.13 433.96 MAX: 91109.59 MAX: 95136.87 MAX: 67149.77 MAX: 103381.73 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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 9M 18M 27M 36M 45M SE +/- 177230.11, N = 3 SE +/- 66565.66, N = 3 SE +/- 111073.27, N = 3 SE +/- 130588.20, N = 3 34625899 34332237 42643903 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 point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 10M 20M 30M 40M 50M SE +/- 80227.43, N = 3 SE +/- 188621.29, N = 3 SE +/- 224779.59, N = 3 SE +/- 221111.93, N = 3 35460713 34762565 44502333 34925899 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 Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 140 280 420 560 700 SE +/- 13.51, N = 3 SE +/- 3.18, N = 3 SE +/- 0.65, N = 3 SE +/- 12.58, N = 3 629.00 623.89 521.98 633.58 MAX: 48846.34 MAX: 41831.2 MAX: 34235.44 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.
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60 120 180 240 300 SE +/- 0.26, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 SE +/- 0.31, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 231.38 198.39 286.20 236.48 154.44 191.71
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.41, N = 3 SE +/- 3.26, N = 9 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 146.56 147.31 115.96 123.61
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 70K 140K 210K 280K 350K SE +/- 1718.54, N = 3 SE +/- 1129.40, N = 3 SE +/- 3249.94, N = 12 SE +/- 2261.70, N = 3 SE +/- 352.65, N = 3 SE +/- 681.76, N = 3 178227 228640 217355 316573 278585 187169
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50 100 150 200 250 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.39, N = 3 SE +/- 0.27, N = 3 192.60 176.77 224.41 180.00 153.80 170.93
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 110000M 220000M 330000M 440000M 550000M SE +/- 18032723.86, N = 3 SE +/- 71241287.97, N = 3 SE +/- 2100313.05, N = 3 SE +/- 10793448.32, N = 3 SE +/- 1691817104.57, N = 3 SE +/- 178290221.71, N = 3 118402595740 293328048497 129198197600 283187826230 522113080527 216025967640 -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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 70000M 140000M 210000M 280000M 350000M SE +/- 13175767.44, N = 3 SE +/- 12326205.97, N = 3 SE +/- 372419.81, N = 3 SE +/- 926708.87, N = 3 SE +/- 280681661.27, N = 3 SE +/- 47698640.87, N = 3 120825305953 173980949893 67324778360 103234608683 308308045083 180249145770 -m64 -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: AES-128-GCM c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 130000M 260000M 390000M 520000M 650000M SE +/- 2205754.73, N = 3 SE +/- 342949201.09, N = 3 SE +/- 5537993.15, N = 3 SE +/- 38386470.30, N = 3 SE +/- 1818538727.73, N = 3 SE +/- 376720190.05, N = 3 129548766687 343095284440 158788510970 332345111983 592545362740 234604082610 -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-Poly1305 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50000M 100000M 150000M 200000M 250000M SE +/- 25534569.58, N = 3 SE +/- 3664727.47, N = 3 SE +/- 2259404.37, N = 3 SE +/- 814473.51, N = 3 SE +/- 85099636.22, N = 3 SE +/- 198663058.81, N = 3 82221279643 123909304773 46715126487 74306515763 216773475533 119647720337 -m64 -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: SHA512 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 7000M 14000M 21000M 28000M 35000M SE +/- 631939.37, N = 3 SE +/- 4399663.13, N = 3 SE +/- 6214593.12, N = 3 SE +/- 9797429.91, N = 3 SE +/- 29763937.73, N = 3 SE +/- 108274834.92, N = 3 13104599007 14702270573 14384917863 32045616820 26481506820 22244804183 -m64 -m64 -lssl -lcrypto -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: SHA256 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 13000M 26000M 39000M 52000M 65000M SE +/- 7310870.38, N = 3 SE +/- 9562123.40, N = 3 SE +/- 192235444.29, N = 3 SE +/- 1709212.75, N = 3 SE +/- 161718701.08, N = 3 SE +/- 20491615.60, N = 3 39825794840 46211821313 42288513973 54438555170 62253861197 50884997103 -m64 -m64 -lssl -lcrypto -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.85, N = 3 SE +/- 1.56, N = 15 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 98.45 92.87 66.27 75.68
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 200K 400K 600K 800K 1000K 410738 510819 788704 629363 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
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 90 180 270 360 450 SE +/- 2.53, N = 3 SE +/- 2.14, N = 3 SE +/- 4.92, N = 3 SE +/- 4.08, N = 3 408.13 418.59 340.11 415.08 MAX: 33039.23 MAX: 31920.67 MAX: 37899.66 MAX: 28810.4 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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 9M 18M 27M 36M 45M SE +/- 247504.71, N = 3 SE +/- 154587.14, N = 3 SE +/- 457186.43, N = 3 SE +/- 303573.79, N = 3 33395968 33268158 40899210 33466804 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 ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 0.530 0.767 0.609 0.274 0.399 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.007, N = 3 SE +/- 0.000, N = 3 SE +/- 0.006, N = 3 0.669 1.026 0.770 0.347 0.498 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.24, N = 3 SE +/- 4.01, N = 12 SE +/- 0.73, N = 3 SE +/- 0.22, N = 3 69.43 89.65 59.18 72.06
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 21.82 69.68 100.15 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'
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60 120 180 240 300 SE +/- 0.31, N = 3 SE +/- 0.07, N = 3 SE +/- 0.34, N = 3 SE +/- 0.42, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 88.81 78.07 270.07 170.59 65.45 78.35 1. (CXX) g++ options: -O3 -fPIC -lm
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 600K 1200K 1800K 2400K 3000K SE +/- 20718.28, N = 3 SE +/- 12058.27, N = 3 SE +/- 14241.12, N = 3 SE +/- 13309.30, N = 3 SE +/- 20558.90, N = 3 1509987 1043267 1314317 2923009 2003784 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 800 - Mode: Read Only
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 600K 1200K 1800K 2400K 3000K SE +/- 9220.12, N = 3 SE +/- 12606.16, N = 3 SE +/- 11830.85, N = 3 SE +/- 2874.04, N = 3 SE +/- 22497.42, N = 3 1494445 975031 1298527 2880940 2008186 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
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: Cell Phone Drop Test c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 1.27, N = 15 SE +/- 0.08, N = 3 SE +/- 0.39, N = 15 36.84 38.82 26.14 30.12
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only c2d-standard-56 m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 150.06 91.88 112.64 Blend File: Pabellon Barcelona - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 27.09, N = 15 SE +/- 1.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.83 5.86 6990.10 3957.74 4.35 9.90 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.53 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3952.99 / MAX: 3967.18 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 800 1600 2400 3200 4000 SE +/- 1.05, N = 3 SE +/- 3.16, N = 3 SE +/- 0.00, N = 15 SE +/- 0.00, N = 3 SE +/- 1.69, N = 3 SE +/- 1.12, N = 3 1089.83 2043.05 0.14 0.25 3666.89 1512.57 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 0.13, N = 3 SE +/- 0.37, N = 3 SE +/- 0.71, N = 3 SE +/- 0.10, N = 3 SE +/- 9.17, N = 15 169.57 83.99 947.59 554.28 56.21 208.47 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.7 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 550.22 / MAX: 563.55 -pie - MIN: 119.65 / MAX: 316.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60 120 180 240 300 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.53, N = 3 SE +/- 3.12, N = 15 82.47 142.75 1.06 1.81 284.42 73.74 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.55, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 7.79, N = 15 169.62 83.91 947.86 553.52 56.41 193.45 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.35 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 549.89 / MAX: 562.06 -pie - MIN: 113.44 / MAX: 315.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60 120 180 240 300 SE +/- 0.14, N = 3 SE +/- 0.48, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.29, N = 3 SE +/- 2.74, N = 15 82.47 142.90 1.06 1.81 283.40 78.96 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 90 180 270 360 450 SE +/- 0.02, N = 3 SE +/- 0.31, N = 3 SE +/- 0.79, N = 3 SE +/- 0.57, N = 3 SE +/- 1.29, N = 3 SE +/- 0.62, N = 3 239.48 259.55 321.29 409.66 409.73 364.64 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: Classroom - Compute: CPU-Only c2d-standard-56 m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 125.73 71.51 89.35 Blend File: Classroom - 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: 1000 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50K 100K 150K 200K 250K SE +/- 157.70, N = 3 SE +/- 688.79, N = 3 SE +/- 132.24, N = 3 SE +/- 141.46, N = 3 SE +/- 260.28, N = 3 SE +/- 156.32, N = 3 161127.09 180537.84 158700.36 255540.03 224859.09 155609.04 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50K 100K 150K 200K 250K SE +/- 513.44, N = 3 SE +/- 126.15, N = 3 SE +/- 249.05, N = 3 SE +/- 757.47, N = 3 SE +/- 451.60, N = 3 SE +/- 394.72, N = 3 160196.24 187350.44 162553.85 254864.93 233014.72 162957.75 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 5K 10K 15K 20K 25K SE +/- 0.38, N = 3 SE +/- 0.21, N = 3 SE +/- 15.60, N = 3 SE +/- 5.72, N = 3 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 868.35 340.29 22391.86 12852.08 261.11 568.77 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.42 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 12821.62 / MAX: 12882.02 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 16.03 35.19 0.04 0.08 61.19 26.28 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 21.48 62.74 87.19 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: 2 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40 80 120 160 200 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 46.54 41.54 167.95 102.08 35.81 41.99 1. (CXX) g++ options: -O3 -fPIC -lm
OpenVINO OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2K 4K 6K 8K 10K SE +/- 3.85, N = 3 SE +/- 0.17, N = 3 SE +/- 1.02, N = 3 SE +/- 1.45, N = 3 SE +/- 0.12, N = 3 SE +/- 1.32, N = 3 1914.27 648.81 9996.56 5639.78 503.38 1393.56 -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 -shared - MIN: 9993.58 / MAX: 10001.76 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 5635.22 / MAX: 5646.39 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.25 18.39 0.10 0.18 31.72 10.73 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1500 3000 4500 6000 7500 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 76.95, N = 3 SE +/- 0.51, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 29.99 18.56 6773.31 3871.33 13.07 26.50 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.99 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3868.49 / MAX: 3876.89 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 300 600 900 1200 1500 SE +/- 1.07, N = 3 SE +/- 0.79, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.51, N = 3 SE +/- 0.37, N = 3 466.41 645.74 0.15 0.26 1222.99 565.34 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1600 3200 4800 6400 8000 SE +/- 36.32, N = 3 SE +/- 30.67, N = 3 SE +/- 7.28, N = 3 SE +/- 25.41, N = 13 SE +/- 8.54, N = 3 SE +/- 51.21, N = 5 2579.92 3783.60 2213.76 3648.43 7501.76 4935.68 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: Face Detection Retail FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 500 1000 1500 2000 2500 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 27.29, N = 3 SE +/- 0.23, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.36 4.53 2186.81 1255.02 3.07 3.52 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.34 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 1251.83 / MAX: 1261.9 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2K 4K 6K 8K 10K SE +/- 2.82, N = 3 SE +/- 6.52, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 3.60, N = 3 SE +/- 2.08, N = 3 3195.58 6605.12 0.46 0.80 10382.22 4239.52 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 160 320 480 640 800 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.58, N = 3 149.97 64.70 735.58 431.90 50.72 155.14 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.4 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 430.12 / MAX: 435.25 -pie - MIN: 114.75 / MAX: 224.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 70 140 210 280 350 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.37, N = 3 93.23 185.29 1.36 2.32 315.14 96.58 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.00, N = 3 SE +/- 0.14, N = 3 13.66 6.79 135.87 98.57 5.07 23.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 94.4 / MAX: 118.88 -pie - MIN: 9.57 / MAX: 42.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 700 1400 2100 2800 3500 SE +/- 1.21, N = 3 SE +/- 4.38, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 1.10, N = 3 SE +/- 3.66, N = 3 1022.81 1764.21 7.36 10.15 3146.04 633.76 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 80 160 240 320 400 SE +/- 0.39, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.27, N = 3 43.39 20.77 382.47 221.50 15.22 66.46 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 220.78 / MAX: 223.35 -pie - MIN: 25.85 / MAX: 122.2 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 200 400 600 800 1000 SE +/- 2.90, N = 3 SE +/- 1.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.93, N = 3 322.27 576.94 2.61 4.51 1049.66 225.48 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 90 180 270 360 450 SE +/- 0.65, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 3.34, N = 3 SE +/- 0.01, N = 3 SE +/- 0.27, N = 3 92.77 39.38 423.95 410.00 27.60 76.72 -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 -shared - MIN: 411.17 / MAX: 440.57 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 391.1 / MAX: 424.93 -pie - MIN: 58.8 / MAX: 121.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 200 400 600 800 1000 SE +/- 2.14, N = 3 SE +/- 1.75, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 SE +/- 1.37, N = 3 301.60 761.14 2.36 2.44 1158.43 390.72 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 90 180 270 360 450 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 2.18, N = 3 SE +/- 1.65, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 99.81 31.08 394.94 395.91 22.53 81.00 -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 -pie - MIN: 64.65 / MAX: 134.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 300 600 900 1200 1500 SE +/- 0.37, N = 3 SE +/- 0.60, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.70, N = 3 SE +/- 0.96, N = 3 280.26 964.46 2.53 2.53 1419.11 370.03 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.17, N = 3 19.94 8.62 153.12 89.36 6.60 40.67 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.94 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 88.98 / MAX: 90.65 -pie - MIN: 12.07 / MAX: 59.44 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 500 1000 1500 2000 2500 SE +/- 0.69, N = 3 SE +/- 6.33, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 1.65, N = 3 SE +/- 1.55, N = 3 701.00 1389.69 6.53 11.19 2417.34 368.39 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 17.69 8.20 181.94 109.99 5.16 11.32 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.11 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 108.37 / MAX: 112.83 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1300 2600 3900 5200 6500 SE +/- 0.68, N = 3 SE +/- 3.28, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 4.43, N = 3 SE +/- 3.26, N = 3 1581.23 3650.57 5.50 9.09 6177.94 2646.58 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 20.28 15.98 119.17 69.89 10.19 14.76 -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 -shared - MIN: 118.73 / MAX: 120.21 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 69.44 / MAX: 71.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 700 1400 2100 2800 3500 SE +/- 0.77, N = 3 SE +/- 0.47, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.31, N = 3 SE +/- 0.56, N = 3 689.56 1875.28 8.39 14.31 3132.48 1014.70 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.14, N = 3 6.30 2.87 48.08 30.08 2.21 11.65 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.5 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 29.37 / MAX: 32.17 -pie - MIN: 3.76 / MAX: 29.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1500 3000 4500 6000 7500 SE +/- 3.06, N = 3 SE +/- 8.74, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 4.07, N = 3 SE +/- 15.96, N = 3 2215.74 4166.39 20.79 33.23 7222.10 1285.47 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.60 0.40 7.33 5.52 0.27 0.61 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.95 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 4.5 / MAX: 9.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 20K 40K 60K 80K 100K SE +/- 26.90, N = 3 SE +/- 45.46, N = 3 SE +/- 0.48, N = 3 SE +/- 0.71, N = 3 SE +/- 453.62, N = 3 SE +/- 332.93, N = 3 35877.14 54971.26 136.16 180.79 92100.80 44049.15 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1.2555 2.511 3.7665 5.022 6.2775 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.25 0.52 5.58 3.86 0.38 0.99 -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 -shared - MIN: 5.45 / MAX: 6.48 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF - MIN: 3.63 / MAX: 5.36 -pie - MIN: 0.8 / MAX: 13.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 20K 40K 60K 80K 100K SE +/- 3.74, N = 3 SE +/- 18.42, N = 3 SE +/- 0.39, N = 3 SE +/- 0.88, N = 3 SE +/- 31.79, N = 3 SE +/- 14.46, N = 3 21951.03 43607.04 178.82 258.59 81996.81 29668.12 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50K 100K 150K 200K 250K SE +/- 22.13, N = 3 SE +/- 293.57, N = 3 SE +/- 7.52, N = 3 SE +/- 30.15, N = 3 SE +/- 661.61, N = 3 SE +/- 1463.52, N = 15 78848.08 73563.13 18807.75 28356.70 210544.87 94247.77 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 verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 200K 400K 600K 800K 1000K SE +/- 418.00, N = 3 SE +/- 50.91, N = 3 SE +/- 6.55, N = 3 SE +/- 189.99, N = 3 SE +/- 367.82, N = 3 SE +/- 644.45, N = 3 468650.6 493077.6 215683.2 713624.4 996017.5 860844.6 -m64 -m64 -lssl -lcrypto -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 7K 14K 21K 28K 35K SE +/- 0.44, N = 3 SE +/- 14.62, N = 3 SE +/- 0.09, N = 3 SE +/- 1.56, N = 3 SE +/- 24.57, N = 3 SE +/- 11.58, N = 3 7181.4 20079.5 2640.0 10181.1 31583.8 12973.0 -m64 -m64 -lssl -lcrypto -lssl -lcrypto -m64 -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: SP.C c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 20K 40K 60K 80K 100K SE +/- 113.84, N = 3 SE +/- 45.01, N = 3 SE +/- 0.76, N = 3 SE +/- 40.05, N = 3 SE +/- 91.17, N = 3 SE +/- 555.92, N = 3 48423.52 39919.71 9716.99 17223.95 102392.40 43228.11 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 16 32 48 64 80 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 70.16 64.86 62.30 43.91 43.29 50.97 1. (CXX) g++ options: -O2 -lOpenCL
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 c2d-standard-56 c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.54, N = 3 SE +/- 0.82, N = 3 SE +/- 0.65, N = 3 SE +/- 0.29, N = 5 SE +/- 0.37, N = 5 41.17 102.22 80.35 27.71 33.40 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
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 50 100 150 200 250 SE +/- 0.61, N = 3 SE +/- 0.22, N = 3 SE +/- 0.50, N = 3 SE +/- 0.90, N = 3 SE +/- 1.67, N = 3 SE +/- 1.77, N = 3 199.80 209.00 179.52 231.85 218.86 222.30 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 900 1800 2700 3600 4500 SE +/- 3.14, N = 3 SE +/- 36.45, N = 15 SE +/- 0.58, N = 3 SE +/- 1.25, N = 3 SE +/- 3.14, N = 3 SE +/- 142.62, N = 12 2190.39 2422.40 915.80 1797.76 4085.20 1752.62 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: BT.C c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40K 80K 120K 160K 200K SE +/- 80.45, N = 3 SE +/- 122.23, N = 3 SE +/- 7.69, N = 3 SE +/- 19.48, N = 3 SE +/- 560.75, N = 3 SE +/- 42.77, N = 3 94143.85 96257.48 24229.14 38934.15 193219.12 122720.61 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
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.035, N = 3 SE +/- 0.005, N = 3 3.951 4.391 2.766 4.194 7.655 5.289 1. (CXX) g++ options: -O3
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only c2d-standard-56 m7a.16xlarge t2d-standard-60 AMD Milan 13 26 39 52 65 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 59.22 37.12 45.22 Blend File: Fishy Cat - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 20.00 50.99 69.55 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'
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only c2d-standard-56 m7a.16xlarge t2d-standard-60 AMD Milan 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 49.01 27.74 34.27 Blend File: BMW27 - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.31, N = 12 25.42 28.02 25.87 13.79 11.59 24.57 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
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 c2d-standard-56 c3d-standard-60 AMD Genoa m7a.16xlarge t2d-standard-60 AMD Milan 11 22 33 44 55 SE +/- 0.24, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 SE +/- 0.02, N = 3 46.74 45.50 34.66 42.01 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.
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 500K 1000K 1500K 2000K 2500K SE +/- 833.48, N = 3 SE +/- 1295.68, N = 3 SE +/- 635.29, N = 3 SE +/- 11587.63, N = 15 SE +/- 1437.63, N = 3 SE +/- 9191.61, N = 3 1212209.82 1445843.52 1259870.72 1608877.08 2158639.27 1730658.45 1. (CC) gcc options: -O2 -lrt" -lrt
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60K 120K 180K 240K 300K SE +/- 140.45, N = 3 SE +/- 519.21, N = 3 SE +/- 57.33, N = 3 SE +/- 141.62, N = 3 SE +/- 342.37, N = 3 SE +/- 347.74, N = 3 208192 226211 234046 285523 282593 247255 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 70K 140K 210K 280K 350K SE +/- 214.91, N = 3 SE +/- 346.51, N = 3 SE +/- 359.95, N = 3 SE +/- 291.75, N = 3 SE +/- 400.99, N = 3 SE +/- 388.74, N = 3 230430 271795 239735 310517 330633 278973 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 400M 800M 1200M 1600M 2000M SE +/- 999273.29, N = 3 SE +/- 2060519.90, N = 3 SE +/- 176147.98, N = 3 SE +/- 536620.29, N = 3 SE +/- 1428129.35, N = 3 SE +/- 1088162.98, N = 3 981877267 962889833 1032893667 1767349000 1843444333 920427767 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 24.64 33.36 20.82 14.26 13.87 16.33 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 300 600 900 1200 1500 SE +/- 1.99, N = 3 SE +/- 0.12, N = 3 SE +/- 0.96, N = 3 SE +/- 0.03, N = 3 SE +/- 0.52, N = 3 SE +/- 0.25, N = 3 581.1 489.7 589.5 785.0 1201.8 554.2 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -march=armv8.1-a -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: 32 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 140 280 420 560 700 SE +/- 0.38, N = 3 SE +/- 0.19, N = 3 SE +/- 0.47, N = 3 SE +/- 0.07, N = 3 SE +/- 0.40, N = 3 SE +/- 3.60, N = 4 306.3 255.4 312.7 494.2 643.4 289.2 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -march=armv8.1-a -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
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 20K 40K 60K 80K 100K SE +/- 57.93, N = 3 SE +/- 600.19, N = 15 SE +/- 2.85, N = 3 SE +/- 13.54, N = 3 SE +/- 446.85, N = 3 SE +/- 137.77, N = 3 47216.05 39647.47 21386.37 39830.18 103413.02 54846.18 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 9K 18K 27K 36K 45K SE +/- 206.16, N = 7 SE +/- 77.92, N = 3 SE +/- 23.52, N = 3 SE +/- 25.33, N = 3 SE +/- 178.46, N = 3 SE +/- 1215.82, N = 15 23089.42 19597.86 13343.35 22031.27 42007.57 16649.37 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
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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 4 8 12 16 20 SE +/- 0.009, N = 3 SE +/- 0.104, N = 15 SE +/- 0.017, N = 3 SE +/- 0.124, N = 3 SE +/- 0.049, N = 3 SE +/- 0.009, N = 3 6.658 6.448 14.212 11.457 5.930 6.423 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.001, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.034, N = 3 9.343 10.025 5.983 4.353 6.480 7.368 1. (CXX) g++ options: -O2 -lOpenCL
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2 4 6 8 10 SE +/- 0.015, N = 3 SE +/- 0.099, N = 3 SE +/- 0.032, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.031, N = 3 8.080 6.889 8.879 5.914 5.678 7.639 1. (CXX) g++ options: -O3 -fPIC -lm
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 2 4 6 8 10 SE +/- 0.02575719, N = 3 SE +/- 0.04970425, N = 3 SE +/- 0.01888616, N = 3 SE +/- 0.01236463, N = 3 SE +/- 0.03993251, N = 3 SE +/- 0.02210564, N = 3 6.14409192 5.87157885 5.61811686 3.15878837 2.89602661 5.63057327 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30K 60K 90K 120K 150K SE +/- 99.78, N = 3 SE +/- 29.69, N = 3 SE +/- 10.99, N = 3 SE +/- 10.47, N = 3 SE +/- 526.14, N = 3 SE +/- 145.06, N = 3 54301.25 42701.83 25661.04 49799.57 121293.80 47291.96 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.010, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 3.802 3.250 4.467 3.178 2.649 3.205 1. (CXX) g++ options: -O3 -fPIC -lm
HeFFTe - Highly Efficient FFT for Exascale HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 16 32 48 64 80 SE +/- 0.78, N = 15 SE +/- 1.29, N = 15 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.63, N = 15 SE +/- 0.66, N = 3 61.18 57.31 32.36 52.48 71.11 60.03 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 9 18 27 36 45 SE +/- 0.13, N = 3 SE +/- 0.54, N = 12 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 18.03 17.42 26.04 37.46 32.79 27.83 -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: r2c - Backend: FFTW - Precision: double - X Y Z: 128 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 1.39, N = 3 SE +/- 1.78, N = 12 SE +/- 0.71, N = 3 SE +/- 0.10, N = 3 SE +/- 1.18, N = 15 SE +/- 0.91, N = 3 99.65 93.60 79.02 127.99 124.36 106.03 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 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 60 120 180 240 300 SE +/- 1.51, N = 6 SE +/- 2.19, N = 12 SE +/- 0.57, N = 3 SE +/- 0.59, N = 3 SE +/- 2.16, N = 15 SE +/- 0.82, N = 3 164.72 148.58 202.45 291.97 190.60 196.95 1. (CXX) g++ options: -O3
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 c2d-standard-56 c3d-standard-60 AMD Genoa c6g.16xlarge c7g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan 40 80 120 160 200 SE +/- 1.06, N = 3 SE +/- 0.52, N = 3 SE +/- 0.11, N = 3 SE +/- 0.44, N = 3 SE +/- 1.44, N = 15 SE +/- 0.78, N = 3 104.53 88.63 129.17 175.73 121.51 109.68 1. (CXX) g++ options: -O3
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
Model: INIVOL and Fluid Structure Interaction Drop Container
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
t2d-standard-60 AMD Milan: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
m7a.16xlarge: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container_0001.rad NOT FOUND
c2d-standard-56: The test run did not produce a result. E: ** ERROR: INPUT FILE /fsi_drop_container NOT FOUND
c3d-standard-60 AMD Genoa Processor: AMD EPYC 9B14 (30 Cores / 60 Threads), Motherboard: Google Compute Engine c3d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB nvme_card-pd, Network: Google Compute Engine Virtual
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2023 00:31 by user michael_larabel.
t2d-standard-60 AMD Milan Processor: AMD EPYC 7B13 (60 Cores), Motherboard: Google Compute Engine t2d-standard-60, Chipset: Intel 440FX 82441FX PMC, Memory: 240GB, Disk: 215GB PersistentDisk, Network: Red Hat Virtio device
OS: Ubuntu 22.04, Kernel: 6.2.0-1014-gcp (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: CPU Microcode: 0xffffffffJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2023 12:59 by user michael_larabel.
c6g.16xlarge Processor: ARMv8 Neoverse-N1 (64 Cores), Motherboard: Amazon EC2 c6g.16xlarge (1.0 BIOS), Chipset: Amazon Device 0200, Memory: 128GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (aarch64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -vJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 October 2023 17:34 by user ubuntu.
m7a.16xlarge Processor: AMD EPYC 9R14 (64 Cores), Motherboard: Amazon EC2 m7a.16xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 256GB, Disk: 215GB Amazon Elastic Block Store, Network: Amazon Elastic
OS: Ubuntu 22.04, Kernel: 5.19.0-1025-aws (x86_64), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, System Layer: amazon
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: CPU Microcode: 0xa10113eJava Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 October 2023 16:34 by user ubuntu.
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.