llama ryzen

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA NV174 8GB on Ubuntu 23.10 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 2401115-PTS-LLAMARYZ22
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January 11
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January 11
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  24 Minutes
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January 11
  26 Minutes
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January 11
  24 Minutes
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llama ryzenOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS)AMD Device 14d82 x 16 GB DRAM-4800MT/s F5-6000J3038F16G2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GBNVIDIA NV174 8GBNVIDIA GA104 HD AudioDELL U2723QEIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.106.7.0-060700rc2daily20231127-generic (x86_64)GNOME Shell 45.1X Server 1.21.1.7 + Waylandnouveau4.3 Mesa 24.0~git2311260600.945288~oibaf~m (git-945288f 2023-11-26 mantic-oibaf-ppa)GCC 13.2.0 + LLVM 16.0.6ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLlama Ryzen 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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203- 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_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdeResult OverviewPhoronix Test Suite100%101%102%104%105%Llama.cppCacheBenchLlama.cppCacheBenchCacheBenchllama-2-13b.Q4_0.ggufReadllama-2-7b.Q4_0.ggufR.M.WWrite

llama ryzenllama-cpp: llama-2-13b.Q4_0.ggufcachebench: Readllama-cpp: llama-2-7b.Q4_0.ggufcachebench: Read / Modify / Writecachebench: Writeabcde8.9114564.52685716.57148655.26824382521.0123068.5913928.90405116.29149322.50315282683.7052568.6414012.37855616.01149341.69489382816.1668868.6913941.94890716.24148643.76997782411.4537858.5014000.99145116.37149477.48671282721.458246OpenBenchmarking.org

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufadcbe246810SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 38.918.698.648.598.501. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Readacedb3K6K9K12K15KSE +/- 17.63, N = 3SE +/- 10.09, N = 3SE +/- 13.31, N = 3SE +/- 6.58, N = 314564.5314012.3814000.9913941.9513928.90MIN: 14559.58 / MAX: 14565.55MIN: 13989.59 / MAX: 14051.73MIN: 13972.94 / MAX: 14166.78MIN: 13893.22 / MAX: 13992.49MIN: 13869.2 / MAX: 13952.831. (CC) gcc options: -O3 -lrt

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufaebdc48121620SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 7SE +/- 0.15, N = 316.5716.3716.2916.2416.011. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / Writeecbad30K60K90K120K150KSE +/- 94.46, N = 3SE +/- 28.47, N = 3SE +/- 49.22, N = 3SE +/- 74.37, N = 3149477.49149341.69149322.50148655.27148643.77MIN: 118036.01 / MAX: 161269.58MIN: 117995 / MAX: 161238.81MIN: 118003.83 / MAX: 161230.87MIN: 117568.67 / MAX: 160508.34MIN: 117490.81 / MAX: 160497.661. (CC) gcc options: -O3 -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Writecebad20K40K60K80K100KSE +/- 25.26, N = 3SE +/- 28.12, N = 3SE +/- 110.45, N = 3SE +/- 129.02, N = 382816.1782721.4682683.7182521.0182411.45MIN: 82313.94 / MAX: 83190.85MIN: 82103.53 / MAX: 83190.13MIN: 82026.91 / MAX: 83187.56MIN: 82045.36 / MAX: 82824.07MIN: 81658.82 / MAX: 83010.711. (CC) gcc options: -O3 -lrt