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 compress-7zip: Compression Rating compress-7zip: Decompression Rating amg: cassandra: Writes apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only brl-cad: VGR Performance Metric coremark: CoreMark Size 666 - Iterations Per Second gromacs: MPI CPU - water_GMX50_bare heffte: c2c - FFTW - float - 128 heffte: r2c - FFTW - float - 128 heffte: c2c - FFTW - double - 128 heffte: r2c - FFTW - double - 128 laghos: Triple Point Problem laghos: Sedov Blast Wave, ube_922_hex.mesh lammps: 20k Atoms lammps: Rhodopsin Protein avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless libxsmm: 32 libxsmm: 64 npb: BT.C npb: CG.C npb: EP.D npb: FT.C npb: IS.D npb: LU.C npb: MG.C npb: SP.C nekrs: Kershaw nekrs: TurboPipe Periodic nginx: 500 nginx: 1000 openradioss: Bumper Beam openradioss: Chrysler Neon 1M openradioss: Cell Phone Drop Test openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation openssl: SHA256 openssl: SHA512 openssl: RSA4096 openssl: RSA4096 openssl: ChaCha20 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20-Poly1305 openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU pgbench: 100 - 800 - Read Only pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Write pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency remhos: Sample Remap Example rodinia: OpenMP LavaMD rodinia: OpenMP HotSpot3D rodinia: OpenMP Leukocyte rodinia: OpenMP CFD Solver rodinia: OpenMP Streamcluster stockfish: Total Time tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - ResNet-50 build-gem5: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-nodejs: Time To Compile incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 271795 226211 962889833 228640 33268158 418.59 34762565 623.89 34332237 447.68 35359884 682.12 510819 1445843.521552 4.391 88.6301 148.575 57.3116 93.6005 209.00 259.55 19.776 17.423 78.068 41.538 3.250 6.889 255.4 489.7 96257.48 19597.86 3783.60 39647.47 2422.40 73563.13 42701.83 39919.71 4289858333 4723940000 187350.44 180537.84 92.87 337.70 38.82 147.31 89.65 46211821313 14702270573 20079.5 493077.6 173980949893 343095284440 293328048497 123909304773 18.39 648.81 142.75 83.99 142.90 83.91 1389.69 8.62 35.19 340.29 4166.39 2.87 576.94 20.77 2043.05 5.86 1875.28 15.98 6605.12 4.53 645.74 18.56 185.29 64.70 3650.57 8.20 1764.21 6.79 964.46 31.08 43607.04 0.52 761.14 39.38 54971.26 0.4 33.362 64.862 84.166 45.498 10.025 6.448 105894457 50.99 62.74 69.68 176.767 198.394 5.87157885 28.0196877 278973 247255 920427767 187169 33466804 415.08 34925899 633.58 34123810 433.96 35068557 709.46 34.27 89.35 45.22 351.58 112.64 629363 1730658.449440 5.289 109.676 196.948 60.0343 106.029 222.30 364.64 26.734 27.828 78.350 41.989 3.205 7.639 289.2 554.2 122720.61 16649.37 4935.68 54846.18 1752.62 94247.77 47291.96 43228.11 3681935833 2730620000 162957.75 155609.04 75.68 327.88 30.12 123.61 72.06 50884997103 22244804183 12973.0 860844.6 180249145770 234604082610 216025967640 119647720337 10.73 1393.56 73.74 208.47 78.96 193.45 368.39 40.67 26.28 568.77 1285.47 11.65 225.48 66.46 1512.57 9.90 1014.70 14.76 4239.52 3.52 565.34 26.50 96.58 155.14 2646.58 11.32 633.76 23.64 370.03 81.00 29668.12 0.99 390.72 76.72 44049.15 0.61 2003784 2008186 5682 5793 0.399 0.498 140.916 172.717 16.326 50.974 88.535 42.010 7.368 6.423 112958788 18.29 20.36 20.90 170.930 33.399 333.351 191.706 5.63057327 24.5721181 239735 234046 1032893667 217355 1259870.716902 2.766 129.172 202.445 32.3575 79.0156 179.52 321.29 25.059 26.041 270.068 167.946 4.467 8.879 312.7 589.5 24229.14 13343.35 2213.76 21386.37 915.80 18807.75 25661.04 9716.99 1758860000 2221710000 162553.85 158700.36 42288513973 14384917863 2640.0 215683.2 67324778360 158788510970 129198197600 46715126487 0.1 9996.56 1.06 947.59 1.06 947.86 6.53 153.12 0.04 22391.86 20.79 48.08 2.61 382.47 0.14 6990.10 8.39 119.17 0.46 2186.81 0.15 6773.31 1.36 735.58 5.50 181.94 7.36 135.87 2.53 394.94 178.82 5.58 2.36 423.95 136.16 7.33 1043267 975031 4784 4776 0.767 1.026 168.191 210.608 20.816 62.301 5.983 14.212 81807706 224.414 102.216 409.097 286.201 5.61811686 25.8748328 330633 282593 1843444333 278585 40899210 340.11 44502333 521.98 42643903 355.13 44699315 598.49 27.74 71.51 37.12 276.23 91.88 788704 2158639.274883 7.655 121.505 190.602 71.1095 124.363 218.86 409.73 31.471 32.785 65.447 35.805 2.649 5.678 643.4 1201.8 193219.12 42007.57 7501.76 103413.02 4085.20 210544.87 121293.80 102392.40 7667846667 4774796667 233014.72 224859.09 66.27 190.79 26.14 115.96 59.18 62253861197 26481506820 31583.8 996017.5 308308045083 592545362740 522113080527 216773475533 31.72 503.38 284.42 56.21 283.40 56.41 2417.34 6.60 61.19 261.11 7222.10 2.21 1049.66 15.22 3666.89 4.35 3132.48 10.19 10382.22 3.07 1222.99 13.07 315.14 50.72 6177.94 5.16 3146.04 5.07 1419.11 22.53 81996.81 0.38 1158.43 27.60 92100.80 0.27 2923009 2880940 5312 5300 0.274 0.347 150.601 188.676 13.867 43.286 74.778 34.661 6.480 5.930 135419169 69.55 87.19 100.15 153.800 27.709 267.965 154.441 2.89602661 11.5913086 310517 285523 1767349000 316573 1608877.078630 4.194 175.729 291.966 52.4779 127.985 231.85 409.66 36.725 37.462 170.587 102.081 3.178 5.914 494.2 785.0 38934.15 22031.27 3648.43 39830.18 1797.76 28356.70 49799.57 17223.95 3252166667 3991736667 254864.93 255540.03 54438555170 32045616820 10181.1 713624.4 103234608683 332345111983 283187826230 74306515763 0.18 5639.78 1.81 554.28 1.81 553.52 11.19 89.36 0.08 12852.08 33.23 30.08 4.51 221.50 0.25 3957.74 14.31 69.89 0.8 1255.02 0.26 3871.33 2.32 431.90 9.09 109.99 10.15 98.57 2.53 395.91 258.59 3.86 2.44 410.00 180.79 5.52 1314317 1298527 5348 5342 0.609 0.770 149.597 187.188 14.258 43.905 4.353 11.457 119502473 179.999 80.347 316.005 236.482 3.15878837 13.7919388 230430 208192 981877267 178227 33395968 408.13 35460713 629.00 34625899 414.40 35377376 679.86 49.01 125.73 59.22 468.20 150.06 410738 1212209.819280 3.951 104.534 164.720 61.1846 99.6480 199.80 239.48 18.369 18.028 88.810 46.541 3.802 8.080 306.3 581.1 94143.85 23089.42 2579.92 47216.05 2190.39 78848.08 54301.25 48423.52 8195293333 5431083333 160196.24 161127.09 98.45 363.60 36.84 146.56 69.43 39825794840 13104599007 7181.4 468650.6 120825305953 129548766687 118402595740 82221279643 7.25 1914.27 82.47 169.57 82.47 169.62 701.00 19.94 16.03 868.35 2215.74 6.30 322.27 43.39 1089.83 12.83 689.56 20.28 3195.58 4.36 466.41 29.99 93.23 149.97 1581.23 17.69 1022.81 13.66 280.26 99.81 21951.03 1.25 301.60 92.77 35877.14 0.6 1509987 1494445 5702 5820 0.530 0.669 140.410 171.947 24.643 70.157 90.736 46.741 9.343 6.658 84017019 20.00 21.48 21.82 192.601 41.168 452.748 231.384 6.14409192 25.4153391 OpenBenchmarking.org
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 70K 140K 210K 280K 350K SE +/- 346.51, N = 3 SE +/- 388.74, N = 3 SE +/- 359.95, N = 3 SE +/- 400.99, N = 3 SE +/- 291.75, N = 3 SE +/- 214.91, N = 3 271795 278973 239735 330633 310517 230430 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60K 120K 180K 240K 300K SE +/- 519.21, N = 3 SE +/- 347.74, N = 3 SE +/- 57.33, N = 3 SE +/- 342.37, N = 3 SE +/- 141.62, N = 3 SE +/- 140.45, N = 3 226211 247255 234046 282593 285523 208192 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 400M 800M 1200M 1600M 2000M SE +/- 2060519.90, N = 3 SE +/- 1088162.98, N = 3 SE +/- 176147.98, N = 3 SE +/- 1428129.35, N = 3 SE +/- 536620.29, N = 3 SE +/- 999273.29, N = 3 962889833 920427767 1032893667 1843444333 1767349000 981877267 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 70K 140K 210K 280K 350K SE +/- 1129.40, N = 3 SE +/- 681.76, N = 3 SE +/- 3249.94, N = 12 SE +/- 352.65, N = 3 SE +/- 2261.70, N = 3 SE +/- 1718.54, N = 3 228640 187169 217355 278585 316573 178227
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 9M 18M 27M 36M 45M SE +/- 154587.14, N = 3 SE +/- 303573.79, N = 3 SE +/- 457186.43, N = 3 SE +/- 247504.71, N = 3 33268158 33466804 40899210 33395968 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 Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 90 180 270 360 450 SE +/- 2.14, N = 3 SE +/- 4.08, N = 3 SE +/- 4.92, N = 3 SE +/- 2.53, N = 3 418.59 415.08 340.11 408.13 MAX: 31920.67 MAX: 28810.4 MAX: 37899.66 MAX: 33039.23 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: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 10M 20M 30M 40M 50M SE +/- 188621.29, N = 3 SE +/- 221111.93, N = 3 SE +/- 224779.59, N = 3 SE +/- 80227.43, N = 3 34762565 34925899 44502333 35460713 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 140 280 420 560 700 SE +/- 3.18, N = 3 SE +/- 12.58, N = 3 SE +/- 0.65, N = 3 SE +/- 13.51, N = 3 623.89 633.58 521.98 629.00 MAX: 41831.2 MAX: 54749.7 MAX: 34235.44 MAX: 48846.34 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 9M 18M 27M 36M 45M SE +/- 66565.66, N = 3 SE +/- 130588.20, N = 3 SE +/- 111073.27, N = 3 SE +/- 177230.11, N = 3 34332237 34123810 42643903 34625899 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 100 200 300 400 500 SE +/- 27.08, N = 3 SE +/- 35.57, N = 3 SE +/- 7.15, N = 3 SE +/- 4.37, N = 3 447.68 433.96 355.13 414.40 MAX: 95136.87 MAX: 103381.73 MAX: 67149.77 MAX: 91109.59 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: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 10M 20M 30M 40M 50M SE +/- 267152.12, N = 3 SE +/- 354923.23, N = 3 SE +/- 99649.31, N = 3 SE +/- 248722.01, N = 3 35359884 35068557 44699315 35377376 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 150 300 450 600 750 SE +/- 7.53, N = 3 SE +/- 25.87, N = 3 SE +/- 4.86, N = 3 SE +/- 1.38, N = 3 682.12 709.46 598.49 679.86 MAX: 98294.84 MAX: 113264.06 MAX: 62432.53 MAX: 79453.07 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.
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 34.27 27.74 49.01 Blend File: BMW27 - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 89.35 71.51 125.73 Blend File: Classroom - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 13 26 39 52 65 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 45.22 37.12 59.22 Blend File: Fishy Cat - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 100 200 300 400 500 SE +/- 0.60, N = 3 SE +/- 0.49, N = 3 SE +/- 0.71, N = 3 351.58 276.23 468.20 Blend File: Barbershop - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 112.64 91.88 150.06 Blend File: Pabellon Barcelona - Compute: CPU-Only
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status.
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 200K 400K 600K 800K 1000K 510819 629363 788704 410738 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6 VGR Performance Metric
c6g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer
c7g.16xlarge: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 500K 1000K 1500K 2000K 2500K SE +/- 1295.68, N = 3 SE +/- 9191.61, N = 3 SE +/- 635.29, N = 3 SE +/- 1437.63, N = 3 SE +/- 11587.63, N = 15 SE +/- 833.48, N = 3 1445843.52 1730658.45 1259870.72 2158639.27 1608877.08 1212209.82 1. (CC) gcc options: -O2 -lrt" -lrt
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2 4 6 8 10 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.035, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 4.391 5.289 2.766 7.655 4.194 3.951 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 40 80 120 160 200 SE +/- 0.52, N = 3 SE +/- 0.78, N = 3 SE +/- 0.11, N = 3 SE +/- 1.44, N = 15 SE +/- 0.44, N = 3 SE +/- 1.06, N = 3 88.63 109.68 129.17 121.51 175.73 104.53 1. (CXX) g++ options: -O3
OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60 120 180 240 300 SE +/- 2.19, N = 12 SE +/- 0.82, N = 3 SE +/- 0.57, N = 3 SE +/- 2.16, N = 15 SE +/- 0.59, N = 3 SE +/- 1.51, N = 6 148.58 196.95 202.45 190.60 291.97 164.72 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: double - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 16 32 48 64 80 SE +/- 1.29, N = 15 SE +/- 0.66, N = 3 SE +/- 0.10, N = 3 SE +/- 0.63, N = 15 SE +/- 0.00, N = 3 SE +/- 0.78, N = 15 57.31 60.03 32.36 71.11 52.48 61.18 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: double - X Y Z: 128 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 1.78, N = 12 SE +/- 0.91, N = 3 SE +/- 0.71, N = 3 SE +/- 1.18, N = 15 SE +/- 0.10, N = 3 SE +/- 1.39, N = 3 93.60 106.03 79.02 124.36 127.99 99.65 1. (CXX) g++ options: -O3
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50 100 150 200 250 SE +/- 0.22, N = 3 SE +/- 1.77, N = 3 SE +/- 0.50, N = 3 SE +/- 1.67, N = 3 SE +/- 0.90, N = 3 SE +/- 0.61, N = 3 209.00 222.30 179.52 218.86 231.85 199.80 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 90 180 270 360 450 SE +/- 0.31, N = 3 SE +/- 0.62, N = 3 SE +/- 0.79, N = 3 SE +/- 1.29, N = 3 SE +/- 0.57, N = 3 SE +/- 0.02, N = 3 259.55 364.64 321.29 409.73 409.66 239.48 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 19.78 26.73 25.06 31.47 36.73 18.37 -lm -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 9 18 27 36 45 SE +/- 0.54, N = 12 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 17.42 27.83 26.04 32.79 37.46 18.03 -lm -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.34, N = 3 SE +/- 0.10, N = 3 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 78.07 78.35 270.07 65.45 170.59 88.81 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 40 80 120 160 200 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 41.54 41.99 167.95 35.81 102.08 46.54 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 3.250 3.205 4.467 2.649 3.178 3.802 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2 4 6 8 10 SE +/- 0.099, N = 3 SE +/- 0.031, N = 3 SE +/- 0.032, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.015, N = 3 6.889 7.639 8.879 5.678 5.914 8.080 1. (CXX) g++ options: -O3 -fPIC -lm
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 140 280 420 560 700 SE +/- 0.19, N = 3 SE +/- 3.60, N = 4 SE +/- 0.47, N = 3 SE +/- 0.40, N = 3 SE +/- 0.07, N = 3 SE +/- 0.38, N = 3 255.4 289.2 312.7 643.4 494.2 306.3 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 300 600 900 1200 1500 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.96, N = 3 SE +/- 0.52, N = 3 SE +/- 0.03, N = 3 SE +/- 1.99, N = 3 489.7 554.2 589.5 1201.8 785.0 581.1 -lquadmath -msse4.2 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 40K 80K 120K 160K 200K SE +/- 122.23, N = 3 SE +/- 42.77, N = 3 SE +/- 7.69, N = 3 SE +/- 560.75, N = 3 SE +/- 19.48, N = 3 SE +/- 80.45, N = 3 96257.48 122720.61 24229.14 193219.12 38934.15 94143.85 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 9K 18K 27K 36K 45K SE +/- 77.92, N = 3 SE +/- 1215.82, N = 15 SE +/- 23.52, N = 3 SE +/- 178.46, N = 3 SE +/- 25.33, N = 3 SE +/- 206.16, N = 7 19597.86 16649.37 13343.35 42007.57 22031.27 23089.42 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: EP.D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1600 3200 4800 6400 8000 SE +/- 30.67, N = 3 SE +/- 51.21, N = 5 SE +/- 7.28, N = 3 SE +/- 8.54, N = 3 SE +/- 25.41, N = 13 SE +/- 36.32, N = 3 3783.60 4935.68 2213.76 7501.76 3648.43 2579.92 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: FT.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 20K 40K 60K 80K 100K SE +/- 600.19, N = 15 SE +/- 137.77, N = 3 SE +/- 2.85, N = 3 SE +/- 446.85, N = 3 SE +/- 13.54, N = 3 SE +/- 57.93, N = 3 39647.47 54846.18 21386.37 103413.02 39830.18 47216.05 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: IS.D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 900 1800 2700 3600 4500 SE +/- 36.45, N = 15 SE +/- 142.62, N = 12 SE +/- 0.58, N = 3 SE +/- 3.14, N = 3 SE +/- 1.25, N = 3 SE +/- 3.14, N = 3 2422.40 1752.62 915.80 4085.20 1797.76 2190.39 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50K 100K 150K 200K 250K SE +/- 293.57, N = 3 SE +/- 1463.52, N = 15 SE +/- 7.52, N = 3 SE +/- 661.61, N = 3 SE +/- 30.15, N = 3 SE +/- 22.13, N = 3 73563.13 94247.77 18807.75 210544.87 28356.70 78848.08 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: MG.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30K 60K 90K 120K 150K SE +/- 29.69, N = 3 SE +/- 145.06, N = 3 SE +/- 10.99, N = 3 SE +/- 526.14, N = 3 SE +/- 10.47, N = 3 SE +/- 99.78, N = 3 42701.83 47291.96 25661.04 121293.80 49799.57 54301.25 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 20K 40K 60K 80K 100K SE +/- 45.01, N = 3 SE +/- 555.92, N = 3 SE +/- 0.76, N = 3 SE +/- 91.17, N = 3 SE +/- 40.05, N = 3 SE +/- 113.84, N = 3 39919.71 43228.11 9716.99 102392.40 17223.95 48423.52 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
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2000M 4000M 6000M 8000M 10000M SE +/- 57202190.49, N = 12 SE +/- 84802173.02, N = 12 SE +/- 2970005.61, N = 3 SE +/- 49077561.86, N = 3 SE +/- 2525353.66, N = 3 SE +/- 88231529.95, N = 3 4289858333 3681935833 1758860000 7667846667 3252166667 8195293333 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1200M 2400M 3600M 4800M 6000M SE +/- 201939132.13, N = 12 SE +/- 481352.26, N = 3 SE +/- 1790009.31, N = 3 SE +/- 6657808.28, N = 3 SE +/- 1792766.33, N = 3 SE +/- 4494968.79, N = 3 4723940000 2730620000 2221710000 4774796667 3991736667 5431083333 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50K 100K 150K 200K 250K SE +/- 126.15, N = 3 SE +/- 394.72, N = 3 SE +/- 249.05, N = 3 SE +/- 451.60, N = 3 SE +/- 757.47, N = 3 SE +/- 513.44, N = 3 187350.44 162957.75 162553.85 233014.72 254864.93 160196.24 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: 1000 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50K 100K 150K 200K 250K SE +/- 688.79, N = 3 SE +/- 156.32, N = 3 SE +/- 132.24, N = 3 SE +/- 260.28, N = 3 SE +/- 141.46, N = 3 SE +/- 157.70, N = 3 180537.84 155609.04 158700.36 224859.09 255540.03 161127.09 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 1.56, N = 15 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.85, N = 3 92.87 75.68 66.27 98.45
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 80 160 240 320 400 SE +/- 2.03, N = 3 SE +/- 1.48, N = 3 SE +/- 0.61, N = 3 SE +/- 0.14, N = 3 337.70 327.88 190.79 363.60
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 9 18 27 36 45 SE +/- 1.27, N = 15 SE +/- 0.39, N = 15 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 38.82 30.12 26.14 36.84
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 3.26, N = 9 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.41, N = 3 147.31 123.61 115.96 146.56
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 4.01, N = 12 SE +/- 0.22, N = 3 SE +/- 0.73, N = 3 SE +/- 0.24, N = 3 89.65 72.06 59.18 69.43
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
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 13000M 26000M 39000M 52000M 65000M SE +/- 9562123.40, N = 3 SE +/- 20491615.60, N = 3 SE +/- 192235444.29, N = 3 SE +/- 161718701.08, N = 3 SE +/- 1709212.75, N = 3 SE +/- 7310870.38, N = 3 46211821313 50884997103 42288513973 62253861197 54438555170 39825794840 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 7000M 14000M 21000M 28000M 35000M SE +/- 4399663.13, N = 3 SE +/- 108274834.92, N = 3 SE +/- 6214593.12, N = 3 SE +/- 29763937.73, N = 3 SE +/- 9797429.91, N = 3 SE +/- 631939.37, N = 3 14702270573 22244804183 14384917863 26481506820 32045616820 13104599007 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 7K 14K 21K 28K 35K SE +/- 14.62, N = 3 SE +/- 11.58, N = 3 SE +/- 0.09, N = 3 SE +/- 24.57, N = 3 SE +/- 1.56, N = 3 SE +/- 0.44, N = 3 20079.5 12973.0 2640.0 31583.8 10181.1 7181.4 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 200K 400K 600K 800K 1000K SE +/- 50.91, N = 3 SE +/- 644.45, N = 3 SE +/- 6.55, N = 3 SE +/- 367.82, N = 3 SE +/- 189.99, N = 3 SE +/- 418.00, N = 3 493077.6 860844.6 215683.2 996017.5 713624.4 468650.6 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 70000M 140000M 210000M 280000M 350000M SE +/- 12326205.97, N = 3 SE +/- 47698640.87, N = 3 SE +/- 372419.81, N = 3 SE +/- 280681661.27, N = 3 SE +/- 926708.87, N = 3 SE +/- 13175767.44, N = 3 173980949893 180249145770 67324778360 308308045083 103234608683 120825305953 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 130000M 260000M 390000M 520000M 650000M SE +/- 342949201.09, N = 3 SE +/- 376720190.05, N = 3 SE +/- 5537993.15, N = 3 SE +/- 1818538727.73, N = 3 SE +/- 38386470.30, N = 3 SE +/- 2205754.73, N = 3 343095284440 234604082610 158788510970 592545362740 332345111983 129548766687 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 110000M 220000M 330000M 440000M 550000M SE +/- 71241287.97, N = 3 SE +/- 178290221.71, N = 3 SE +/- 2100313.05, N = 3 SE +/- 1691817104.57, N = 3 SE +/- 10793448.32, N = 3 SE +/- 18032723.86, N = 3 293328048497 216025967640 129198197600 522113080527 283187826230 118402595740 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto 1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50000M 100000M 150000M 200000M 250000M SE +/- 3664727.47, N = 3 SE +/- 198663058.81, N = 3 SE +/- 2259404.37, N = 3 SE +/- 85099636.22, N = 3 SE +/- 814473.51, N = 3 SE +/- 25534569.58, N = 3 123909304773 119647720337 46715126487 216773475533 74306515763 82221279643 -m64 -lssl -lcrypto -m64 -lssl -lcrypto -m64 -lssl -lcrypto -lssl -lcrypto -m64 1. (CC) gcc options: -pthread -O3 -ldl
OpenVINO OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 18.39 10.73 0.10 31.72 0.18 7.25 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2K 4K 6K 8K 10K SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 1.45, N = 3 SE +/- 3.85, N = 3 648.81 1393.56 9996.56 503.38 5639.78 1914.27 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 1788.62 / MAX: 2033.22 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 Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60 120 180 240 300 SE +/- 0.23, N = 3 SE +/- 3.12, N = 15 SE +/- 0.00, N = 3 SE +/- 0.53, N = 3 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 142.75 73.74 1.06 284.42 1.81 82.47 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 200 400 600 800 1000 SE +/- 0.13, N = 3 SE +/- 9.17, N = 15 SE +/- 0.37, N = 3 SE +/- 0.10, N = 3 SE +/- 0.71, N = 3 SE +/- 0.29, N = 3 83.99 208.47 947.59 56.21 554.28 169.57 -pie - MIN: 119.65 / MAX: 316.01 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 94.4 / MAX: 218.7 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60 120 180 240 300 SE +/- 0.48, N = 3 SE +/- 2.74, N = 15 SE +/- 0.00, N = 3 SE +/- 0.29, N = 3 SE +/- 0.00, N = 3 SE +/- 0.14, N = 3 142.90 78.96 1.06 283.40 1.81 82.47 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 7.79, N = 15 SE +/- 0.55, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 83.91 193.45 947.86 56.41 553.52 169.62 -pie - MIN: 113.44 / MAX: 315.54 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 104.86 / MAX: 209.35 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 500 1000 1500 2000 2500 SE +/- 6.33, N = 3 SE +/- 1.55, N = 3 SE +/- 0.01, N = 3 SE +/- 1.65, N = 3 SE +/- 0.01, N = 3 SE +/- 0.69, N = 3 1389.69 368.39 6.53 2417.34 11.19 701.00 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 8.62 40.67 153.12 6.60 89.36 19.94 -pie - MIN: 12.07 / MAX: 59.44 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 10.34 / MAX: 37.94 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 14 28 42 56 70 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 35.19 26.28 0.04 61.19 0.08 16.03 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 5K 10K 15K 20K 25K SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 15.60, N = 3 SE +/- 0.03, N = 3 SE +/- 5.72, N = 3 SE +/- 0.38, N = 3 340.29 568.77 22391.86 261.11 12852.08 868.35 -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 Retail FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1500 3000 4500 6000 7500 SE +/- 8.74, N = 3 SE +/- 15.96, N = 3 SE +/- 0.01, N = 3 SE +/- 4.07, N = 3 SE +/- 0.02, N = 3 SE +/- 3.06, N = 3 4166.39 1285.47 20.79 7222.10 33.23 2215.74 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 2.87 11.65 48.08 2.21 30.08 6.30 -pie - MIN: 3.76 / MAX: 29.1 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 3.57 / MAX: 21.5 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 200 400 600 800 1000 SE +/- 1.04, N = 3 SE +/- 0.93, N = 3 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.00, N = 3 SE +/- 2.90, N = 3 576.94 225.48 2.61 1049.66 4.51 322.27 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 80 160 240 320 400 SE +/- 0.04, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 20.77 66.46 382.47 15.22 221.50 43.39 -pie - MIN: 25.85 / MAX: 122.2 -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 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 800 1600 2400 3200 4000 SE +/- 3.16, N = 3 SE +/- 1.12, N = 3 SE +/- 0.00, N = 15 SE +/- 1.69, N = 3 SE +/- 0.00, N = 3 SE +/- 1.05, N = 3 2043.05 1512.57 0.14 3666.89 0.25 1089.83 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 27.09, N = 15 SE +/- 0.00, N = 3 SE +/- 1.04, N = 3 SE +/- 0.01, N = 3 5.86 9.90 6990.10 4.35 3957.74 12.83 -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: Weld Porosity Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 700 1400 2100 2800 3500 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.01, N = 3 SE +/- 0.31, N = 3 SE +/- 0.00, N = 3 SE +/- 0.77, N = 3 1875.28 1014.70 8.39 3132.48 14.31 689.56 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 15.98 14.76 119.17 10.19 69.89 20.28 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 14.46 / MAX: 30.6 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2K 4K 6K 8K 10K SE +/- 6.52, N = 3 SE +/- 2.08, N = 3 SE +/- 0.01, N = 3 SE +/- 3.60, N = 3 SE +/- 0.00, N = 3 SE +/- 2.82, N = 3 6605.12 4239.52 0.46 10382.22 0.80 3195.58 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 500 1000 1500 2000 2500 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 27.29, N = 3 SE +/- 0.00, N = 3 SE +/- 0.23, N = 3 SE +/- 0.00, N = 3 4.53 3.52 2186.81 3.07 1255.02 4.36 -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: Road Segmentation ADAS FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 300 600 900 1200 1500 SE +/- 0.79, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 SE +/- 0.51, N = 3 SE +/- 0.00, N = 3 SE +/- 1.07, N = 3 645.74 565.34 0.15 1222.99 0.26 466.41 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1500 3000 4500 6000 7500 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 76.95, N = 3 SE +/- 0.01, N = 3 SE +/- 0.51, N = 3 SE +/- 0.07, N = 3 18.56 26.50 6773.31 13.07 3871.33 29.99 -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: Machine Translation EN To DE FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 70 140 210 280 350 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 185.29 96.58 1.36 315.14 2.32 93.23 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 160 320 480 640 800 SE +/- 0.09, N = 3 SE +/- 0.58, N = 3 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 64.70 155.14 735.58 50.72 431.90 149.97 -pie - MIN: 114.75 / MAX: 224.64 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 81.05 / MAX: 193.4 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1300 2600 3900 5200 6500 SE +/- 3.28, N = 3 SE +/- 3.26, N = 3 SE +/- 0.01, N = 3 SE +/- 4.43, N = 3 SE +/- 0.00, N = 3 SE +/- 0.68, N = 3 3650.57 2646.58 5.50 6177.94 9.09 1581.23 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 8.20 11.32 181.94 5.16 109.99 17.69 -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: Person Vehicle Bike Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 700 1400 2100 2800 3500 SE +/- 4.38, N = 3 SE +/- 3.66, N = 3 SE +/- 0.01, N = 3 SE +/- 1.10, N = 3 SE +/- 0.02, N = 3 SE +/- 1.21, N = 3 1764.21 633.76 7.36 3146.04 10.15 1022.81 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.00, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 6.79 23.64 135.87 5.07 98.57 13.66 -pie - MIN: 9.57 / MAX: 42.22 -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 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 300 600 900 1200 1500 SE +/- 0.60, N = 3 SE +/- 0.96, N = 3 SE +/- 0.02, N = 3 SE +/- 0.70, N = 3 SE +/- 0.01, N = 3 SE +/- 0.37, N = 3 964.46 370.03 2.53 1419.11 2.53 280.26 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 90 180 270 360 450 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 2.18, N = 3 SE +/- 0.01, N = 3 SE +/- 1.65, N = 3 SE +/- 0.13, N = 3 31.08 81.00 394.94 22.53 395.91 99.81 -pie - MIN: 64.65 / MAX: 134.64 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 55.12 / MAX: 150.04 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 20K 40K 60K 80K 100K SE +/- 18.42, N = 3 SE +/- 14.46, N = 3 SE +/- 0.39, N = 3 SE +/- 31.79, N = 3 SE +/- 0.88, N = 3 SE +/- 3.74, N = 3 43607.04 29668.12 178.82 81996.81 258.59 21951.03 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 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 +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 0.52 0.99 5.58 0.38 3.86 1.25 -pie - MIN: 0.8 / MAX: 13.76 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 0.71 / MAX: 15.89 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: Handwritten English Recognition FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 200 400 600 800 1000 SE +/- 1.75, N = 3 SE +/- 1.37, N = 3 SE +/- 0.00, N = 3 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 SE +/- 2.14, N = 3 761.14 390.72 2.36 1158.43 2.44 301.60 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 90 180 270 360 450 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.26, N = 3 SE +/- 0.01, N = 3 SE +/- 3.34, N = 3 SE +/- 0.65, N = 3 39.38 76.72 423.95 27.60 410.00 92.77 -pie - MIN: 58.8 / MAX: 121.69 -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 -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem - MIN: 51.49 / MAX: 118.72 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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 20K 40K 60K 80K 100K SE +/- 45.46, N = 3 SE +/- 332.93, N = 3 SE +/- 0.48, N = 3 SE +/- 453.62, N = 3 SE +/- 0.71, N = 3 SE +/- 26.90, N = 3 54971.26 44049.15 136.16 92100.80 180.79 35877.14 -pie -pie -pie -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF -isystem 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 0.40 0.61 7.33 0.27 5.52 0.60 -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
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 t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 600K 1200K 1800K 2400K 3000K SE +/- 20558.90, N = 3 SE +/- 12058.27, N = 3 SE +/- 13309.30, N = 3 SE +/- 14241.12, N = 3 SE +/- 20718.28, N = 3 2003784 1043267 2923009 1314317 1509987 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 t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 600K 1200K 1800K 2400K 3000K SE +/- 22497.42, N = 3 SE +/- 12606.16, N = 3 SE +/- 2874.04, N = 3 SE +/- 11830.85, N = 3 SE +/- 9220.12, N = 3 2008186 975031 2880940 1298527 1494445 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
c3d-standard-60 AMD Genoa: The test run did not produce a result. E: ./pgbench: 21: pg_/bin/pgbench: not found
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1200 2400 3600 4800 6000 SE +/- 49.28, N = 12 SE +/- 109.40, N = 12 SE +/- 13.63, N = 3 SE +/- 29.72, N = 3 SE +/- 47.23, N = 12 5682 4784 5312 5348 5702 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 TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 1200 2400 3600 4800 6000 SE +/- 49.93, N = 8 SE +/- 124.50, N = 9 SE +/- 16.57, N = 3 SE +/- 23.65, N = 3 SE +/- 50.46, N = 12 5793 4776 5300 5342 5820 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
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 0.399 0.767 0.274 0.609 0.530 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 t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.000, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 0.498 1.026 0.347 0.770 0.669 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 40 80 120 160 200 SE +/- 1.23, N = 12 SE +/- 3.85, N = 12 SE +/- 0.39, N = 3 SE +/- 0.83, N = 3 SE +/- 1.15, N = 12 140.92 168.19 150.60 149.60 140.41 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 Write - Average Latency t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50 100 150 200 250 SE +/- 1.44, N = 8 SE +/- 6.00, N = 9 SE +/- 0.59, N = 3 SE +/- 0.83, N = 3 SE +/- 1.46, N = 12 172.72 210.61 188.68 187.19 171.95 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Remhos Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 8 16 24 32 40 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 33.36 16.33 20.82 13.87 14.26 24.64 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 16 32 48 64 80 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 64.86 50.97 62.30 43.29 43.91 70.16 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 0.86, N = 15 SE +/- 1.83, N = 12 SE +/- 0.74, N = 15 SE +/- 1.43, N = 15 84.17 88.54 74.78 90.74 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP HotSpot3D
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 11 22 33 44 55 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 SE +/- 0.24, N = 3 45.50 42.01 34.66 46.74 1. (CXX) g++ options: -O2 -lOpenCL Test: OpenMP Leukocyte
c6g.16xlarge: The test quit with a non-zero exit status.
c7g.16xlarge: The test quit with a non-zero exit status.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.013, N = 3 10.025 7.368 5.983 6.480 4.353 9.343 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 4 8 12 16 20 SE +/- 0.104, N = 15 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 SE +/- 0.049, N = 3 SE +/- 0.124, N = 3 SE +/- 0.009, N = 3 6.448 6.423 14.212 5.930 11.457 6.658 1. (CXX) g++ options: -O2 -lOpenCL
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 30M 60M 90M 120M 150M SE +/- 1450871.09, N = 3 SE +/- 1618403.29, N = 14 SE +/- 1645401.81, N = 15 SE +/- 1001447.21, N = 3 SE +/- 1921303.63, N = 15 SE +/- 705199.36, N = 15 105894457 112958788 81807706 135419169 119502473 84017019 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 1. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 50.99 18.29 69.55 20.00 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'
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 62.74 20.36 87.19 21.48 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'
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan m7a.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 69.68 20.90 100.15 21.82 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'
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 50 100 150 200 250 SE +/- 0.07, N = 3 SE +/- 0.27, N = 3 SE +/- 0.03, N = 3 SE +/- 0.39, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 176.77 170.93 224.41 153.80 180.00 192.60
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 t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 20 40 60 80 100 SE +/- 0.37, N = 5 SE +/- 0.82, N = 3 SE +/- 0.29, N = 5 SE +/- 0.65, N = 3 SE +/- 0.54, N = 3 33.40 102.22 27.71 80.35 41.17 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
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 100 200 300 400 500 SE +/- 1.20, N = 3 SE +/- 2.41, N = 3 SE +/- 0.37, N = 3 SE +/- 0.81, N = 3 SE +/- 1.50, N = 3 333.35 409.10 267.97 316.01 452.75 Build: allmodconfig
c3d-standard-60 AMD Genoa: The test quit with a non-zero exit status. E: linux-6.1/tools/objtool/include/objtool/elf.h:10:10: fatal error: gelf.h: No such file or directory
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 c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 60 120 180 240 300 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.31, N = 3 SE +/- 0.26, N = 3 198.39 191.71 286.20 154.44 236.48 231.38
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 2 4 6 8 10 SE +/- 0.04970425, N = 3 SE +/- 0.02210564, N = 3 SE +/- 0.01888616, N = 3 SE +/- 0.03993251, N = 3 SE +/- 0.01236463, N = 3 SE +/- 0.02575719, N = 3 5.87157885 5.63057327 5.61811686 2.89602661 3.15878837 6.14409192 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge c7g.16xlarge c2d-standard-56 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.31, N = 12 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 28.02 24.57 25.87 11.59 13.79 25.42 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
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.