ai ai ai

AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon Pro W7900 45GB on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2406028-PTS-AIAIAI0963&sro&grs.

ai ai aiProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionabcdeAMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads)System76 Thelio Major (FA Z5 BIOS)AMD Device 14a44 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA21000GB CT1000T700SSD5AMD Radeon Pro W7900 45GBAMD Device 14ccDELL P2415QAquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6EUbuntu 24.046.8.0-060800-generic (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext41920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/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-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- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa108105Security Details- 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: 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 Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ai ai aillamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - CPUwhisper-cpp: ggml-base.en - 2016 State of the Unionwhisper-cpp: ggml-medium.en - 2016 State of the Unionwhisper-cpp: ggml-small.en - 2016 State of the Unionllamafile: wizardcoder-python-34b-v1.0.Q6_K - CPUllamafile: mistral-7b-instruct-v0.2.Q5_K_M - CPUllama-cpp: Meta-Llama-3-8B-Instruct-Q8_0.ggufllamafile: Meta-Llama-3-8B-Instruct.F16 - CPUllamafile: llava-v1.6-mistral-7b.Q8_0 - CPUabcde52.94118.86537558.13719232.195274.0222.1813.098.6550.74118.64985555.70312232.16119422.0313.152.41118.25585559.56644234.12406422.1713.14118.40684560.63738232.7728113.0952.94119.41782559.87831233.883273.9922.0813.088.63OpenBenchmarking.org

Llamafile

Test: TinyLlama-1.1B-Chat-v1.0.BF16 - Acceleration: CPU

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: TinyLlama-1.1B-Chat-v1.0.BF16 - Acceleration: CPUabce1224364860SE +/- 0.09, N = 352.9450.7452.4152.94

Whisper.cpp

Model: ggml-base.en - Input: 2016 State of the Union

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-base.en - Input: 2016 State of the Unionabcde306090120150SE +/- 0.32, N = 3118.87118.65118.26118.41119.421. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni

Whisper.cpp

Model: ggml-medium.en - Input: 2016 State of the Union

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-medium.en - Input: 2016 State of the Unionabcde120240360480600SE +/- 0.34, N = 3558.14555.70559.57560.64559.881. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni

Whisper.cpp

Model: ggml-small.en - Input: 2016 State of the Union

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-small.en - Input: 2016 State of the Unionabcde50100150200250SE +/- 0.24, N = 3232.20232.16234.12232.77233.881. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni

Llamafile

Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPUabce0.90451.8092.71353.6184.5225SE +/- 0.01, N = 34.024.004.003.99

Llamafile

Test: mistral-7b-instruct-v0.2.Q5_K_M - Acceleration: CPU

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: mistral-7b-instruct-v0.2.Q5_K_M - Acceleration: CPUabce510152025SE +/- 0.06, N = 322.1822.0322.1722.08

Llama.cpp

Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b3067Model: Meta-Llama-3-8B-Instruct-Q8_0.ggufabcde3691215SE +/- 0.01, N = 313.0913.1013.1413.0913.081. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llamafile

Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPUae2468108.658.63

Phoronix Test Suite v10.8.5