hw-mig

AMD EPYC 7R13 48-Core testing with a Supermicro H12SSL-I v1.02 (2.7 BIOS) and NVIDIA GeForce RTX 4090 24GB on EndeavourOS rolling 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 2402106-NE-HWMIG354306
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB
February 10
  58 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


hw-migOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7R13 48-Core @ 3.73GHz (48 Cores / 96 Threads)Supermicro H12SSL-I v1.02 (2.7 BIOS)AMD Starship/Matisse256GB15363GB Micron_7450_MTFDKCC15T3TFRNVIDIA GeForce RTX 4090 24GBNVIDIA AD102 HD Audio38GN9502 x Intel X710 for 10GbE SFP+EndeavourOS rolling6.7.4-zen1-1-zen (x86_64)Xfce 4.18X Server 1.21.1.11NVIDIA 545.29.064.6.0GCC 13.2.1 20230801 + Clang 16.0.6 + LLVM 16.0.6 + CUDA 12.3btrfs3840x1600ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionHw-mig BenchmarksSystem Logs- Transparent Huge Pages: always- NVCC_PREPEND_FLAGS="-ccbin /opt/cuda/bin"- --disable-libssp --disable-libstdcxx-pch --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=ada,c,c++,d,fortran,go,lto,m2,objc,obj-c++ --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-build-config=bootstrap-lto --with-linker-hash-style=gnu - Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa0011d1 - 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

hw-migllama-cpp: llama-2-7b.Q4_0.ggufllama-cpp: llama-2-13b.Q4_0.ggufllama-cpp: llama-2-70b-chat.Q5_0.ggufllamafile: llava-v1.5-7b-q4 - CPUllamafile: mistral-7b-instruct-v0.2.Q8_0 - CPUllamafile: wizardcoder-python-34b-v1.0.Q6_K - CPUredis: GET - 50redis: GET - 1000redis: SET - 1000redis: LPOP - 1000redis: SADD - 1000redis: LPUSH - 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB23.1714.452.8622.3013.344.732792000.502505995.402055844.831679590.472268077.831744859.50OpenBenchmarking.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-2-7b.Q4_0.ggufAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB612182430SE +/- 0.03, N = 323.171. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -fopenmp -lopenblas

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB48121620SE +/- 0.01, N = 314.451. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -fopenmp -lopenblas

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB0.64351.2871.93052.5743.2175SE +/- 0.01, N = 32.861. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -fopenmp -lopenblas

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB510152025SE +/- 0.05, N = 322.30

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB3691215SE +/- 0.03, N = 313.34

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPUAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB1.06432.12863.19294.25725.3215SE +/- 0.01, N = 34.73

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB600K1200K1800K2400K3000KSE +/- 19715.89, N = 32792000.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB500K1000K1500K2000K2500KSE +/- 38739.75, N = 152505995.401. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB400K800K1200K1600K2000KSE +/- 20463.94, N = 122055844.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB400K800K1200K1600K2000KSE +/- 11821.21, N = 121679590.471. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB500K1000K1500K2000K2500KSE +/- 33076.13, N = 152268077.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 1000AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB400K800K1200K1600K2000KSE +/- 22632.71, N = 151744859.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3