newaa AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2412060-PTS-NEWAA29291&rdt .
newaa Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c d AMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads) System76 Thelio Major (FA Z5 BIOS) AMD Device 14a4 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2 1000GB CT1000T700SSD5 AMD Radeon RX 6700 XT 12GB AMD Device 14cc DELL P2415Q Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E Ubuntu 24.04 6.8.0-49-generic (x86_64) GNOME Shell 46.0 X Server + Wayland 4.6 Mesa 24.0.9-0ubuntu0.2 (LLVM 17.0.6 DRM 3.57) GCC 13.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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: 0xa108105 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: 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; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
newaa relion: Basic - CPU llamafile: Llama-3.2-3B-Instruct.Q6_K - Text Generation 16 llamafile: Llama-3.2-3B-Instruct.Q6_K - Text Generation 128 llamafile: Llama-3.2-3B-Instruct.Q6_K - Prompt Processing 256 llamafile: Llama-3.2-3B-Instruct.Q6_K - Prompt Processing 512 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Text Generation 16 llamafile: Llama-3.2-3B-Instruct.Q6_K - Prompt Processing 1024 llamafile: Llama-3.2-3B-Instruct.Q6_K - Prompt Processing 2048 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Text Generation 128 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Text Generation 16 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Prompt Processing 256 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Prompt Processing 512 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Text Generation 128 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Text Generation 16 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Prompt Processing 1024 llamafile: TinyLlama-1.1B-Chat-v1.0.BF16 - Prompt Processing 2048 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Text Generation 128 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Prompt Processing 256 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Prompt Processing 512 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Prompt Processing 1024 llamafile: mistral-7b-instruct-v0.2.Q5_K_M - Prompt Processing 2048 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Prompt Processing 256 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Prompt Processing 512 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Prompt Processing 1024 llamafile: wizardcoder-python-34b-v1.0.Q6_K - Prompt Processing 2048 a b c d 411.759 41.72 42.08 4096 8192 57.19 16384 32768 57.43 23.17 4096 8192 23.42 4.66 16384 32768 4.45 4096 8192 16384 32768 1536 3072 6144 12288 366.918 37.23 42.01 4096 8192 49.89 16384 32768 56.58 21.34 4096 8192 23.47 3.7 16384 32768 4.77 4096 8192 16384 32768 1536 3072 6144 12288 401.05 41.92 41.61 4096 8192 56.4 16384 32768 56.47 23.47 4096 8192 23.64 4.77 16384 32768 4.8 4096 8192 16384 32768 1536 3072 6144 12288 418.274 42.21 41.62 4096 8192 56.72 16384 32768 56.97 23.38 4096 8192 23.68 4.78 16384 32768 4.78 4096 8192 16384 32768 1536 3072 6144 12288 OpenBenchmarking.org
RELION Test: Basic - Device: CPU OpenBenchmarking.org Seconds, Fewer Is Better RELION 5.0 Test: Basic - Device: CPU a b c d 90 180 270 360 450 SE +/- 29.20, N = 6 411.76 366.92 401.05 418.27 1. (CXX) g++ options: -fPIC -std=c++14 -fopenmp -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -ljpeg -lmpi_cxx -lmpi
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 16 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 16 a b c d 10 20 30 40 50 SE +/- 0.17, N = 3 41.72 37.23 41.92 42.21
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 128 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 128 a b c d 10 20 30 40 50 SE +/- 0.15, N = 3 42.08 42.01 41.61 41.62
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 256 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 256 a b c d 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 4096 4096 4096 4096
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 512 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 512 a b c d 2K 4K 6K 8K 10K SE +/- 0.00, N = 3 8192 8192 8192 8192
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 16 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 16 a b c d 13 26 39 52 65 SE +/- 0.25, N = 3 57.19 49.89 56.40 56.72
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 1024 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 1024 a b c d 4K 8K 12K 16K 20K SE +/- 0.00, N = 3 16384 16384 16384 16384
Llamafile Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 2048 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 2048 a b c d 7K 14K 21K 28K 35K SE +/- 0.00, N = 3 32768 32768 32768 32768
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 128 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 128 a b c d 13 26 39 52 65 SE +/- 0.17, N = 3 57.43 56.58 56.47 56.97
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 16 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 16 a b c d 6 12 18 24 30 SE +/- 0.19, N = 12 23.17 21.34 23.47 23.38
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 256 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 256 a b c d 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 4096 4096 4096 4096
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 512 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 512 a b c d 2K 4K 6K 8K 10K SE +/- 0.00, N = 3 8192 8192 8192 8192
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 128 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 128 a b c d 6 12 18 24 30 SE +/- 0.04, N = 3 23.42 23.47 23.64 23.68
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 16 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 16 a b c d 1.0755 2.151 3.2265 4.302 5.3775 SE +/- 0.12, N = 12 4.66 3.70 4.77 4.78
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 1024 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 1024 a b c d 4K 8K 12K 16K 20K SE +/- 0.00, N = 3 16384 16384 16384 16384
Llamafile Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 2048 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 2048 a b c d 7K 14K 21K 28K 35K SE +/- 0.00, N = 3 32768 32768 32768 32768
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 128 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 128 a b c d 1.08 2.16 3.24 4.32 5.4 SE +/- 0.04, N = 12 4.45 4.77 4.80 4.78
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 256 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 256 a b c d 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 4096 4096 4096 4096
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 512 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 512 a b c d 2K 4K 6K 8K 10K SE +/- 0.00, N = 3 8192 8192 8192 8192
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 1024 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 1024 a b c d 4K 8K 12K 16K 20K SE +/- 0.00, N = 3 16384 16384 16384 16384
Llamafile Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 2048 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 2048 a b c d 7K 14K 21K 28K 35K SE +/- 0.00, N = 3 32768 32768 32768 32768
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 256 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 256 a b c d 300 600 900 1200 1500 SE +/- 0.00, N = 3 1536 1536 1536 1536
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 512 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 512 a b c d 700 1400 2100 2800 3500 SE +/- 0.00, N = 3 3072 3072 3072 3072
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 1024 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 1024 a b c d 1300 2600 3900 5200 6500 SE +/- 0.00, N = 3 6144 6144 6144 6144
Llamafile Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 2048 OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.8.16 Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 2048 a b c d 3K 6K 9K 12K 15K SE +/- 0.00, N = 3 12288 12288 12288 12288
Phoronix Test Suite v10.8.5