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 2402178-NE-HWMIG611102
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CPU Massive 3 Tests
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AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB
February 10
  1 Hour, 19 Minutes
AMD EPYC 7R13 48-Core
February 17
  1 Minute
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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-migmemcached: 1:1memcached: 1:5memcached: 5:1memcached: 1:10memcached: 1:100redis: GET - 50redis: GET - 1000redis: SET - 1000redis: LPOP - 1000redis: SADD - 1000redis: LPUSH - 1000llama-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 - CPUpovray: Trace Timeblender: BMW27 - NVIDIA CUDAblender: Classroom - NVIDIA CUDAblender: Fishy Cat - NVIDIA CUDAblender: Barbershop - NVIDIA CUDAblender: Pabellon Barcelona - NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GBAMD EPYC 7R13 48-Core1375588.163850395.87870630.724989344.125147962.662792000.502505995.402055844.831679590.472268077.831744859.5023.1714.452.8622.3013.344.735.8010.3612.0045.5721.4810.616OpenBenchmarking.org

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:1AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB300K600K900K1200K1500KSE +/- 8189.12, N = 31375588.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB800K1600K2400K3200K4000KSE +/- 34072.71, N = 33850395.871. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 5:1AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB200K400K600K800K1000KSE +/- 1751.22, N = 3870630.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB1.1M2.2M3.3M4.4M5.5MSE +/- 8659.87, N = 34989344.121. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB1.1M2.2M3.3M4.4M5.5MSE +/- 11107.87, N = 35147962.661. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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

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

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeAMD EPYC 7R13 48-Core3691215SE +/- 0.02, N = 310.621. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB1.3052.613.9155.226.525SE +/- 0.02, N = 35.80

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB3691215SE +/- 0.01, N = 310.36

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB3691215SE +/- 0.04, N = 312.00

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB1020304050SE +/- 0.07, N = 345.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: NVIDIA CUDAAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 4090 24GB510152025SE +/- 0.00, N = 321.48