mnm,nm,

AMD EPYC 7262 8-Core testing with a GIGABYTE MZ32-AR0-00 v01000100 (R21 BIOS) and Gigabyte NVIDIA GeForce RTX 3080 10GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401205-NE-MNMNM846557
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
AMD EPYC 7262 8-Core - Gigabyte NVIDIA GeForce RTX
January 20
  1 Minute


mnm,nm,OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7262 8-Core @ 3.20GHz (8 Cores / 16 Threads)GIGABYTE MZ32-AR0-00 v01000100 (R21 BIOS)AMD Starship/Matisse128GB1000GB Samsung SSD 980 PRO 1TBGigabyte NVIDIA GeForce RTX 3080 10GBNVIDIA GA102 HD AudioDELL U2720Q2 x Intel I350Ubuntu 22.046.5.0-14-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIA 525.147.054.6.0OpenCL 3.0 CUDA 12.0.1511.3.224GCC 11.4.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionMnm,nm, BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a - GPU Compute Cores: 8704- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUAMD EPYC 7262 8-Core - Gigabyte NVIDIA GeForce RTX60M120M180M240M300MSE +/- 1772529.32, N = 3265836787.81. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm