AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.
EPYC 7601 - Zen 1 Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD, Disk: 1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126eJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
EPYC 8324P - Zen 4C Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads)Motherboard: AMD Cinnabar (RCB1009C BIOS)Chipset: AMD Device 14a4Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMGDisk: 1000GB INTEL SSDPE2KX010T8Graphics: llvmpipeNetwork: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
EPYC 8324P - Zen 4C, 155W Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEEDNetwork: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
EPYC 8324PN - Zen 4C Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads)Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipeNetwork: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
EPYC 8534PN - Zen 4C Changed Processor to AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads) .
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 600 1200 1800 2400 3000 SE +/- 0.56, N = 3 SE +/- 1.22, N = 3 SE +/- 0.65, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 2816.09 1527.32 1710.42 1860.65 296.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 2K 4K 6K 8K 10K SE +/- 9.00, N = 3 SE +/- 1.85, N = 3 SE +/- 1.37, N = 3 SE +/- 1.73, N = 3 SE +/- 0.47, N = 3 8310.71 4405.62 4977.13 5418.92 878.71 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.97 12.58 11.12 10.20 84.77 MIN: 6.18 / MAX: 27.89 MIN: 6.69 / MAX: 66.41 MIN: 5.92 / MAX: 71.44 MIN: 76.49 / MAX: 98.5 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.7 123.5 133.3 EPYC 8324PN - Zen 4C 12.1 79.5 89.5 EPYC 8324P - Zen 4C, 155W 13.0 93.2 104.2 EPYC 8324P - Zen 4C 13.4 105.0 123.3 EPYC 7601 - Zen 1 65.0 150.9 163.1 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7942 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5142 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5997 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6755 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9760 Joules per run.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60 120 180 240 300 SE +/- 0.54, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 295.61 163.09 180.32 194.71 38.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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.
Result
OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b1808 Model: llama-2-70b-chat.Q5_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.7718 1.5436 2.3154 3.0872 3.859 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.11 2.93 3.43 0.46 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas Tokens Per Second Per Watt
OpenBenchmarking.org Tokens Per Second Per Watt, More Is Better Llama.cpp b1808 Model: llama-2-70b-chat.Q5_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.007 0.014 0.021 0.028 0.035 0.031 0.028 0.027 0.003 CPU Power Consumption
Min Avg Max EPYC 8324PN - Zen 4C 12.8 101.1 109.8 EPYC 8324P - Zen 4C, 155W 12.2 104.0 121.2 EPYC 8324P - Zen 4C 13.0 126.4 141.3 EPYC 7601 - Zen 1 64.0 134.9 177.0 OpenBenchmarking.org Watts, Fewer Is Better Llama.cpp b1808 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8324PN - Zen 4C: Approximate power consumption of 15373 Joules per run. 2. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 20417 Joules per run. 3. EPYC 8324P - Zen 4C: Approximate power consumption of 22208 Joules per run. 4. EPYC 7601 - Zen 1: Approximate power consumption of 129159 Joules per run.
Result
OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 12 17.06 17.09 17.93 2.49 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas Tokens Per Second Per Watt
OpenBenchmarking.org Tokens Per Second Per Watt, More Is Better Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0419 0.0838 0.1257 0.1676 0.2095 0.186 0.179 0.174 0.019 CPU Power Consumption
Min Avg Max EPYC 8324PN - Zen 4C 12.6 91.5 104.2 EPYC 8324P - Zen 4C, 155W 13.2 95.6 116.7 EPYC 8324P - Zen 4C 12.9 103.1 130.5 EPYC 7601 - Zen 1 64.3 132.7 166.7 OpenBenchmarking.org Watts, Fewer Is Better Llama.cpp b1808 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8324PN - Zen 4C: Approximate power consumption of 3295 Joules per run. 2. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3698 Joules per run. 3. EPYC 8324P - Zen 4C: Approximate power consumption of 3814 Joules per run. 4. EPYC 7601 - Zen 1: Approximate power consumption of 26867 Joules per run.
miniBUDE MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500 1000 1500 2000 2500 SE +/- 0.34, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.47, N = 3 SE +/- 0.44, N = 3 2489.20 1276.47 1425.32 1532.27 355.99 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
Result
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 99.57 51.06 57.01 61.29 14.24 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm Billion Interactions/s Per Watt
OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1859 0.3718 0.5577 0.7436 0.9295 0.826 0.645 0.606 0.570 0.084 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.8 120.5 131.6 EPYC 8324PN - Zen 4C 12.1 79.2 88.9 EPYC 8324P - Zen 4C, 155W 13.8 94.1 106.1 EPYC 8324P - Zen 4C 12.4 107.5 121.8 EPYC 7601 - Zen 1 65.5 169.5 175.3 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6708 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 8344 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 8849 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 9425 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 61765 Joules per run.
Result
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.02, N = 6 SE +/- 0.06, N = 4 SE +/- 0.03, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 99.65 51.12 57.10 61.15 14.33 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm Billion Interactions/s Per Watt
OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.2446 0.4892 0.7338 0.9784 1.223 1.087 0.746 0.718 0.684 0.087 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.4 91.7 132.3 EPYC 8324PN - Zen 4C 13.1 68.5 88.4 EPYC 8324P - Zen 4C, 155W 14.1 79.5 107.9 EPYC 8324P - Zen 4C 12.7 89.5 122.9 EPYC 7601 - Zen 1 66.1 164.9 176.2 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1116 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1354 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1452 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1543 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9841 Joules per run.
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500 1000 1500 2000 2500 SE +/- 0.47, N = 6 SE +/- 1.51, N = 4 SE +/- 0.86, N = 4 SE +/- 0.21, N = 4 SE +/- 0.43, N = 3 2491.17 1278.03 1427.41 1528.85 358.25 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 13 26 39 52 65 SE +/- 0.1049, N = 3 SE +/- 0.0604, N = 3 SE +/- 0.0667, N = 3 SE +/- 0.0215, N = 3 SE +/- 0.0850, N = 3 56.8419 32.1289 35.7929 38.8202 8.5097
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40000M 80000M 120000M 160000M 200000M SE +/- 52537274.39, N = 3 SE +/- 36167959.31, N = 3 SE +/- 3407926.56, N = 3 SE +/- 5327895.48, N = 3 SE +/- 21793844.67, N = 3 196012573853 101065023123 112344083843 113105892877 30341046637 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300M 600M 900M 1200M 1500M 1450412054.66 1181271903.83 1067969605.53 947613075.92 177417166.50 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.2 135.1 142.3 EPYC 8324PN - Zen 4C 12.7 85.6 95.5 EPYC 8324P - Zen 4C, 155W 13.9 105.2 110.7 EPYC 8324P - Zen 4C 13.3 119.4 130.2 EPYC 7601 - Zen 1 65.9 171.0 177.9 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 24866 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15742 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 19321 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 21922 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 31410 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 200 400 600 800 1000 SE +/- 3.62, N = 3 SE +/- 0.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 934.59 520.24 579.34 633.21 149.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.00073, N = 3 SE +/- 0.01310, N = 3 SE +/- 0.02613, N = 3 SE +/- 0.01463, N = 3 SE +/- 0.01198, N = 3 14.61310 7.66532 8.45634 8.83622 2.45276 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0293 0.0586 0.0879 0.1172 0.1465 0.130 0.101 0.095 0.083 0.016 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.8 112.7 134.3 EPYC 8324PN - Zen 4C 12.4 75.5 89.1 EPYC 8324P - Zen 4C, 155W 13.7 89.2 107.3 EPYC 8324P - Zen 4C 11.4 106.4 122.1 EPYC 7601 - Zen 1 65.1 155.2 177.3 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6910 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5186 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5979 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7092 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9159 Joules per run.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60000M 120000M 180000M 240000M 300000M SE +/- 8141159.25, N = 3 SE +/- 4106091.67, N = 3 SE +/- 2748202.21, N = 3 SE +/- 3614035.56, N = 3 SE +/- 18792715.18, N = 3 284696293373 147602077650 159431008620 159447675517 47935580060 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 400M 800M 1200M 1600M 2000M 2095501066.50 1694474523.22 1474962096.07 1370606684.98 280245644.36 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.3 135.9 143.4 EPYC 8324PN - Zen 4C 12.5 87.1 90.7 EPYC 8324P - Zen 4C, 155W 13.7 108.1 113.9 EPYC 8324P - Zen 4C 13.3 116.3 131.9 EPYC 7601 - Zen 1 65.3 171.0 177.6 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 24998 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15999 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 19853 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 21367 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 31416 Joules per run.
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 48.56 47.77 51.03 51.70 8.77 images/sec Per Watt
OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1314 0.2628 0.3942 0.5256 0.657 0.519 0.584 0.551 0.553 0.068 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.0 93.6 109.8 EPYC 8324PN - Zen 4C 6.7 81.9 97.1 EPYC 8324P - Zen 4C, 155W 13.2 92.6 109.9 EPYC 8324P - Zen 4C 13.0 93.5 112.6 EPYC 7601 - Zen 1 64.2 129.4 142.8 OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4273 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3792 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4075 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4084 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 27515 Joules per run.
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.01491, N = 3 SE +/- 0.02953, N = 3 SE +/- 0.02664, N = 3 SE +/- 0.02105, N = 3 SE +/- 0.00308, N = 3 15.05960 7.97910 8.78898 9.14257 2.59961 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0302 0.0604 0.0906 0.1208 0.151 0.134 0.106 0.099 0.086 0.017 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 112.5 134.5 EPYC 8324PN - Zen 4C 13.1 75.3 89.0 EPYC 8324P - Zen 4C, 155W 13.7 88.9 106.3 EPYC 8324P - Zen 4C 13.5 105.7 121.6 EPYC 7601 - Zen 1 65.9 154.5 177.4 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6900 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5149 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5958 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7013 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9066 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 200 400 600 800 1000 SE +/- 0.42, N = 3 SE +/- 0.39, N = 3 SE +/- 5.36, N = 8 SE +/- 0.64, N = 3 SE +/- 0.74, N = 3 1086.68 555.71 621.82 688.60 188.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 15K 30K 45K 60K 75K SE +/- 93.27, N = 3 SE +/- 33.66, N = 3 SE +/- 37.85, N = 3 SE +/- 23.70, N = 3 SE +/- 8.89, N = 3 71960.41 43375.55 49194.55 52709.19 13039.70 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500 1000 1500 2000 2500 SE +/- 2.30, N = 3 SE +/- 1.32, N = 3 SE +/- 1.13, N = 3 SE +/- 1.86, N = 3 SE +/- 1.37, N = 3 2547.73 1424.53 1563.36 1701.18 464.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 5 10 15 20 25 SE +/- 0.111892, N = 5 SE +/- 0.073791, N = 3 SE +/- 0.135732, N = 3 SE +/- 0.076181, N = 15 SE +/- 0.031226, N = 3 21.138819 11.517272 11.434849 11.645616 3.886776 1. (CC) gcc options: -O3 -march=native -fopenmp GFLOP/s Per Watt
OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.054 0.108 0.162 0.216 0.27 0.240 0.170 0.140 0.133 0.025 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 88.1 130.7 EPYC 8324PN - Zen 4C 12.6 67.9 89.1 EPYC 8324P - Zen 4C, 155W 13.5 81.5 109.9 EPYC 8324P - Zen 4C 12.3 87.3 115.0 EPYC 7601 - Zen 1 64.6 154.9 170.2 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1339 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1674 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1984 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2089 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9859 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300 600 900 1200 1500 SE +/- 0.39, N = 3 SE +/- 0.29, N = 3 SE +/- 0.55, N = 3 SE +/- 1.14, N = 3 SE +/- 2.58, N = 3 1287.88 674.93 752.59 818.31 246.64
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.549 1.098 1.647 2.196 2.745 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.61 0.57 0.51 0.47 2.44 MIN: 0.27 / MAX: 24.31 MIN: 0.29 / MAX: 15.45 MIN: 0.28 / MAX: 50.42 MIN: 0.27 / MAX: 11.17 MIN: 2.39 / MAX: 9.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 120.8 131.1 EPYC 8324PN - Zen 4C 13.0 79.7 89.2 EPYC 8324P - Zen 4C, 155W 13.0 95.1 107.0 EPYC 8324P - Zen 4C 11.7 108.3 128.7 EPYC 7601 - Zen 1 64.4 158.2 170.3 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7852 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5130 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6152 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7003 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10126 Joules per run.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 110000M 220000M 330000M 440000M 550000M SE +/- 350336826.28, N = 3 SE +/- 43613214.37, N = 3 SE +/- 1389668244.12, N = 3 SE +/- 338919345.53, N = 3 SE +/- 228892930.90, N = 3 493434496250 251415558370 281191878567 308207308437 97707034820 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 800M 1600M 2400M 3200M 4000M 3626240465.70 2927424070.20 2743728420.23 2612982097.09 559684188.57 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.3 136.1 141.2 EPYC 8324PN - Zen 4C 12.9 85.9 94.2 EPYC 8324P - Zen 4C, 155W 13.6 102.5 112.1 EPYC 8324P - Zen 4C 13.3 118.0 131.8 EPYC 7601 - Zen 1 65.9 174.6 178.2 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 25037 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15802 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18823 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 21664 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 32064 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.77, N = 3 SE +/- 0.65, N = 3 SE +/- 0.22, N = 3 SE +/- 0.51, N = 3 SE +/- 0.18, N = 3 202.29 131.24 144.27 150.74 42.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 130 260 390 520 650 SE +/- 0.38, N = 3 SE +/- 0.28, N = 3 SE +/- 1.23, N = 3 SE +/- 1.61, N = 3 SE +/- 1.39, N = 3 613.23 320.86 357.30 383.70 128.67
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 90000M 180000M 270000M 360000M 450000M SE +/- 171818503.35, N = 3 SE +/- 288672373.67, N = 3 SE +/- 104993783.37, N = 3 SE +/- 72395520.64, N = 3 SE +/- 220160896.72, N = 3 424400038207 216435660207 242830526873 265303113457 89976610817 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 700M 1400M 2100M 2800M 3500M 3123938397.23 2539685896.32 2396310835.77 2258891761.22 516298912.20 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.4 135.9 141.5 EPYC 8324PN - Zen 4C 13.0 85.2 93.8 EPYC 8324P - Zen 4C, 155W 13.7 101.3 115.1 EPYC 8324P - Zen 4C 13.3 117.4 132.0 EPYC 7601 - Zen 1 65.3 174.3 178.2 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 24907 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15709 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18679 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 21610 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 32008 Joules per run.
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 5K 10K 15K 20K 25K SE +/- 4.13, N = 3 SE +/- 3.00, N = 3 SE +/- 3.08, N = 3 SE +/- 2.49, N = 3 SE +/- 12.09, N = 3 21064.1 11909.2 13565.8 15040.7 4497.1 1. (CC) gcc options: -pthread -m64 -O3 -ldl
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 400 800 1200 1600 2000 SE +/- 0.40, N = 3 SE +/- 0.37, N = 3 SE +/- 0.46, N = 3 SE +/- 0.25, N = 3 SE +/- 6.61, N = 3 556.15 493.99 443.43 410.47 1840.95 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.6 103.7 123.1 EPYC 8324PN - Zen 4C 12.8 69.8 81.3 EPYC 8324P - Zen 4C, 155W 13.1 81.2 97.7 EPYC 8324P - Zen 4C 13.0 89.2 114.7 EPYC 7601 - Zen 1 64.6 142.0 172.7 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4737 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3233 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3708 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4105 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7099 Joules per run.
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 900 1800 2700 3600 4500 SE +/- 6.81, N = 3 SE +/- 16.58, N = 3 SE +/- 19.57, N = 3 SE +/- 7.57, N = 3 SE +/- 12.26, N = 3 4374.0 3938.5 4031.7 4043.2 1042.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 35.481 50.340 40.527 41.050 7.453 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.9 123.3 127.0 EPYC 8324PN - Zen 4C 13.0 78.2 88.5 EPYC 8324P - Zen 4C, 155W 13.5 99.5 102.3 EPYC 8324P - Zen 4C 12.7 98.5 101.3 EPYC 7601 - Zen 1 65.8 139.9 146.3 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 28764 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 20290 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 25202 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 24854 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 134495 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 400 800 1200 1600 2000 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 644.80 627.46 558.29 510.71 2096.01 MIN: 320.58 / MAX: 691.03 MIN: 560 / MAX: 672.37 MIN: 500.71 / MAX: 574 MIN: 471.88 / MAX: 558.37 MIN: 2092.33 / MAX: 2113.24 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.0 120.2 133.3 EPYC 8324PN - Zen 4C 12.8 78.5 89.0 EPYC 8324P - Zen 4C, 155W 13.2 94.1 105.1 EPYC 8324P - Zen 4C 13.3 104.3 122.2 EPYC 7601 - Zen 1 64.8 149.2 164.7 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8172 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5365 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6369 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7093 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10794 Joules per run.
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.00619, N = 3 SE +/- 0.00484, N = 3 SE +/- 0.00699, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00520, N = 3 16.89540 8.89361 9.87373 10.49390 4.14655 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.034 0.068 0.102 0.136 0.17 0.151 0.119 0.113 0.107 0.026 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.2 111.9 133.3 EPYC 8324PN - Zen 4C 12.6 74.9 86.9 EPYC 8324P - Zen 4C, 155W 13.7 87.1 106.8 EPYC 8324P - Zen 4C 13.0 98.1 122.1 EPYC 7601 - Zen 1 64.9 158.4 177.4 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6752 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4995 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5692 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6309 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 13253 Joules per run.
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 2K 4K 6K 8K 10K SE +/- 0.88, N = 3 SE +/- 2.03, N = 3 SE +/- 2.31, N = 3 SE +/- 1.33, N = 3 SE +/- 27.62, N = 3 2544 5004 4493 4152 10054 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.7 108.6 136.1 EPYC 8324PN - Zen 4C 12.5 74.5 89.2 EPYC 8324P - Zen 4C, 155W 13.7 86.0 105.2 EPYC 8324P - Zen 4C 12.0 96.2 122.4 EPYC 7601 - Zen 1 65.8 144.5 178.8 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8762 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6581 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7421 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 8209 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 14644 Joules per run.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 2K 4K 6K 8K 10K SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 1.76, N = 3 SE +/- 2.31, N = 3 SE +/- 15.18, N = 3 2146 4222 3787 3493 8452 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 106.9 135.0 EPYC 8324PN - Zen 4C 12.7 73.9 88.3 EPYC 8324P - Zen 4C, 155W 13.6 85.3 105.7 EPYC 8324P - Zen 4C 13.1 94.5 126.4 EPYC 7601 - Zen 1 65.3 144.1 178.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8377 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6407 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7140 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7879 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 14264 Joules per run.
easyWave The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.50, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 1.85, N = 3 39.33 42.26 42.00 42.09 152.34 1. (CXX) g++ options: -O3 -fopenmp CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.3 85.8 104.1 EPYC 8324PN - Zen 4C 12.4 73.0 83.8 EPYC 8324P - Zen 4C, 155W 13.7 78.7 90.5 EPYC 8324P - Zen 4C 12.1 79.3 90.5 EPYC 7601 - Zen 1 65.8 131.1 148.5 OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 3919 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3528 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3778 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3808 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 20887 Joules per run.
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 8K 16K 24K 32K 40K SE +/- 47.09, N = 3 SE +/- 107.46, N = 3 SE +/- 6.52, N = 3 SE +/- 52.06, N = 3 SE +/- 120.26, N = 3 35370.0 21769.2 24096.2 25644.3 9331.6 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60 120 180 240 300 265.91 247.53 233.10 219.80 57.58 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.3 133.0 154.3 EPYC 8324PN - Zen 4C 13.1 87.9 95.9 EPYC 8324P - Zen 4C, 155W 12.8 103.4 113.7 EPYC 8324P - Zen 4C 13.3 116.4 133.1 EPYC 7601 - Zen 1 65.7 162.1 172.1 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4478 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4544 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4859 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 5198 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 18801 Joules per run.
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 70K 140K 210K 280K 350K SE +/- 229.98, N = 3 SE +/- 85.59, N = 3 SE +/- 149.58, N = 3 SE +/- 125.49, N = 3 SE +/- 408.43, N = 3 87860 167209 150410 139737 331945 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.9 115.1 136.5 EPYC 8324PN - Zen 4C 12.9 80.8 90.5 EPYC 8324P - Zen 4C, 155W 13.7 94.1 108.3 EPYC 8324P - Zen 4C 13.2 105.6 124.0 EPYC 7601 - Zen 1 65.1 167.1 178.6 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11975 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 14835 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 15675 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 16472 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 58659 Joules per run.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60K 120K 180K 240K 300K SE +/- 78.83, N = 3 SE +/- 49.00, N = 3 SE +/- 87.82, N = 3 SE +/- 153.74, N = 3 SE +/- 491.07, N = 3 74752 142160 128154 118514 281137 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.8 111.9 135.9 EPYC 8324PN - Zen 4C 12.2 79.7 90.8 EPYC 8324P - Zen 4C, 155W 13.7 92.5 105.3 EPYC 8324P - Zen 4C 12.5 103.1 127.2 EPYC 7601 - Zen 1 65.1 165.8 178.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 10184 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 12642 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13376 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 13954 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 49856 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.47, N = 8 SE +/- 0.04, N = 3 SE +/- 0.68, N = 3 58.78 57.50 51.41 46.39 169.21 MIN: 36.54 / MAX: 118.54 MIN: 36.68 / MAX: 102.88 MIN: 31.75 / MAX: 122.86 MIN: 30.48 / MAX: 56.26 MIN: 140.86 / MAX: 197.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.7 129.3 140.0 EPYC 8324PN - Zen 4C 12.3 80.7 89.5 EPYC 8324P - Zen 4C, 155W 12.7 95.9 108.8 EPYC 8324P - Zen 4C 12.4 106.7 121.1 EPYC 7601 - Zen 1 64.7 168.1 177.3 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8320 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5243 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6187 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6901 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10981 Joules per run.
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40K 80K 120K 160K 200K SE +/- 85.58, N = 3 SE +/- 286.09, N = 3 SE +/- 239.39, N = 3 SE +/- 65.51, N = 3 SE +/- 111.00, N = 3 47472 86678 78610 73127 170871 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.2 101.8 135.4 EPYC 8324PN - Zen 4C 12.8 76.2 91.4 EPYC 8324P - Zen 4C, 155W 13.6 87.5 106.3 EPYC 8324P - Zen 4C 11.1 96.9 122.6 EPYC 7601 - Zen 1 65.3 159.9 178.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6515 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 7899 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 8342 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 8685 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 30479 Joules per run.
Result
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30K 60K 90K 120K 150K SE +/- 242.81, N = 3 SE +/- 220.99, N = 3 SE +/- 266.18, N = 3 SE +/- 328.77, N = 3 SE +/- 111.55, N = 3 40603 74023 67153 62633 145560 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 98.3 134.6 EPYC 8324PN - Zen 4C 12.9 74.9 87.7 EPYC 8324P - Zen 4C, 155W 13.7 85.9 108.4 EPYC 8324P - Zen 4C 13.1 92.0 126.7 EPYC 7601 - Zen 1 65.5 157.3 178.6 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5601 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6790 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7189 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7451 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 25952 Joules per run.
Intel Open Image Denoise Result
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.3848 0.7696 1.1544 1.5392 1.924 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.71 0.93 1.03 1.11 0.48 Images / Sec Per Watt
OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0038 0.0076 0.0114 0.0152 0.019 0.017 0.013 0.012 0.012 0.003 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 101.2 124.6 EPYC 8324PN - Zen 4C 11.7 72.9 83.5 EPYC 8324P - Zen 4C, 155W 13.7 85.6 101.3 EPYC 8324P - Zen 4C 13.2 96.0 121.1 EPYC 7601 - Zen 1 65.5 165.0 174.6 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2227 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2698 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2911 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3070 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11057 Joules per run.
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.10, N = 5 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 74.93 39.60 43.13 45.51 21.84 MIN: 73.96 / MAX: 76.92 MIN: 39.34 / MAX: 40.89 MIN: 42.84 / MAX: 43.66 MIN: 45.23 / MAX: 46.5 MIN: 21.59 / MAX: 22.16 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1694 0.3388 0.5082 0.6776 0.847 0.753 0.522 0.498 0.434 0.135 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.4 99.5 140.7 EPYC 8324PN - Zen 4C 12.8 75.9 95.2 EPYC 8324P - Zen 4C, 155W 14.0 86.6 107.3 EPYC 8324P - Zen 4C 12.7 105.0 134.4 EPYC 7601 - Zen 1 65.7 162.4 177.6 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1493 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1797 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1904 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2240 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6333 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60 120 180 240 300 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.71, N = 3 281.49 152.21 169.56 181.23 84.43
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 40.64 21.91 24.47 25.84 12.22
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.70, N = 3 24.82 23.69 21.24 19.53 64.80 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.2 79.6 118.6 EPYC 8324PN - Zen 4C 12.6 64.6 82.1 EPYC 8324P - Zen 4C, 155W 13.4 73.7 97.1 EPYC 8324P - Zen 4C 12.1 81.3 112.8 EPYC 7601 - Zen 1 64.8 139.0 177.3 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4911 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3357 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3831 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4226 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8343 Joules per run.
easyWave The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 80 160 240 320 400 SE +/- 0.94, N = 3 SE +/- 0.25, N = 3 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 SE +/- 4.58, N = 9 109.83 116.03 115.25 115.29 357.69 1. (CXX) g++ options: -O3 -fopenmp CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 93.9 103.6 EPYC 8324PN - Zen 4C 11.5 77.9 83.9 EPYC 8324P - Zen 4C, 155W 13.6 83.3 90.6 EPYC 8324P - Zen 4C 12.7 83.4 90.7 EPYC 7601 - Zen 1 64.0 131.6 149.1 OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 10950 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 9585 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10191 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 10176 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 48028 Joules per run.
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 8 16 24 32 40 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 4 SE +/- 0.10, N = 3 10.44 13.97 12.89 11.93 33.91 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.4 88.5 143.6 EPYC 8324PN - Zen 4C 12.2 69.4 98.8 EPYC 8324P - Zen 4C, 155W 13.5 77.5 114.5 EPYC 8324P - Zen 4C 12.9 85.6 133.1 EPYC 7601 - Zen 1 65.7 150.4 179.3 OpenBenchmarking.org Watts, Fewer Is Better Y-Cruncher 0.8.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1726 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1574 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1680 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1755 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6315 Joules per run.
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 13 26 39 52 65 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 59.05 31.08 34.24 36.89 18.44 MIN: 57.98 / MAX: 61.17 MIN: 30.63 / MAX: 31.81 MIN: 33.72 / MAX: 35.12 MIN: 36.22 / MAX: 37.68 MIN: 18.15 / MAX: 18.78 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1827 0.3654 0.5481 0.7308 0.9135 0.812 0.398 0.373 0.361 0.112 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 72.7 142.1 EPYC 8324PN - Zen 4C 12.9 78.1 96.0 EPYC 8324P - Zen 4C, 155W 13.7 91.8 110.4 EPYC 8324P - Zen 4C 12.5 102.3 133.5 EPYC 7601 - Zen 1 65.9 165.2 178.1 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1987 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2240 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2386 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2524 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7487 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 11.24 10.39 9.29 8.52 26.96 MIN: 6.13 / MAX: 91.04 MIN: 6.01 / MAX: 19.76 MIN: 5.21 / MAX: 64.17 MIN: 4.86 / MAX: 58.62 MIN: 26.82 / MAX: 36.46 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.6 128.8 140.9 EPYC 8324PN - Zen 4C 12.9 80.6 90.1 EPYC 8324P - Zen 4C, 155W 13.5 94.2 105.1 EPYC 8324P - Zen 4C 12.7 106.6 124.5 EPYC 7601 - Zen 1 64.6 153.2 165.8 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8326 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5237 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6091 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6890 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9909 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 90 180 270 360 450 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.41, N = 3 429.33 229.54 254.30 266.96 138.03
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 32.15 17.67 19.75 21.00 10.34
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 90 180 270 360 450 SE +/- 0.37, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.34, N = 3 SE +/- 0.48, N = 3 429.36 229.91 254.13 266.99 138.53
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 32.16 17.76 19.64 21.02 10.45
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 700 1400 2100 2800 3500 SE +/- 2.41, N = 3 SE +/- 2.26, N = 3 SE +/- 2.41, N = 3 SE +/- 7.34, N = 3 SE +/- 0.21, N = 3 3450.43 1906.39 2099.32 2193.09 152.96
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 SE +/- 1.37, N = 3 52.12 49.80 44.72 41.64 124.09 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 11.8 92.3 120.3 EPYC 8324PN - Zen 4C 12.7 64.9 80.5 EPYC 8324P - Zen 4C, 155W 13.0 74.1 96.2 EPYC 8324P - Zen 4C 12.8 81.7 112.7 EPYC 7601 - Zen 1 65.2 138.7 176.8 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4648 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3290 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3754 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4141 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8228 Joules per run.
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.005, N = 5 SE +/- 0.006, N = 5 SE +/- 0.010, N = 5 SE +/- 0.003, N = 5 SE +/- 0.140, N = 7 5.207 6.653 6.192 5.747 15.515 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.9 71.4 138.3 EPYC 8324PN - Zen 4C 12.0 60.2 99.8 EPYC 8324P - Zen 4C, 155W 13.6 66.7 111.1 EPYC 8324P - Zen 4C 12.5 71.5 129.1 EPYC 7601 - Zen 1 65.5 138.2 179.0 OpenBenchmarking.org Watts, Fewer Is Better Y-Cruncher 0.8.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 914 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 819 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 867 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 901 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 3060 Joules per run.
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Random Read EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50M 100M 150M 200M 250M SE +/- 187915.38, N = 3 SE +/- 242981.96, N = 3 SE +/- 294601.47, N = 3 SE +/- 126210.06, N = 3 SE +/- 709803.02, N = 3 248969387 131206830 147721769 161678876 84616408 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Random Read EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500K 1000K 1500K 2000K 2500K 2230797.09 1742913.89 1652219.58 1613507.12 499648.82 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.8 111.6 129.8 EPYC 8324PN - Zen 4C 12.7 75.3 80.3 EPYC 8324P - Zen 4C, 155W 13.6 89.4 96.6 EPYC 8324P - Zen 4C 12.6 100.2 110.8 EPYC 7601 - Zen 1 66.2 169.4 178.6 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7143 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4818 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5722 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6413 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10895 Joules per run.
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50M 100M 150M 200M 250M SE +/- 139678.30, N = 3 SE +/- 227689.47, N = 3 SE +/- 1751764.05, N = 3 SE +/- 141623.12, N = 3 SE +/- 986396.38, N = 3 248842616 132248192 147991555 163771762 85990445 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Random Read EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500K 1000K 1500K 2000K 2500K 2534080.33 1749308.71 1658329.33 1624547.01 505924.53 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 98.2 128.2 EPYC 8324PN - Zen 4C 12.8 75.6 86.1 EPYC 8324P - Zen 4C, 155W 13.7 89.2 97.6 EPYC 8324P - Zen 4C 13.1 100.8 111.0 EPYC 7601 - Zen 1 65.6 170.0 178.3 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7332 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4864 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5711 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6485 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10935 Joules per run.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 160 320 480 640 800 SE +/- 0.08, N = 3 SE +/- 0.45, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 267.58 518.21 463.27 426.62 765.20 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.0 135.1 140.8 EPYC 8324PN - Zen 4C 13.0 86.7 90.9 EPYC 8324P - Zen 4C, 155W 14.0 103.8 110.5 EPYC 8324P - Zen 4C 13.5 115.4 124.1 EPYC 7601 - Zen 1 65.6 175.3 178.7 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 37060 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 45536 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 48774 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 49976 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 135340 Joules per run.
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.01627, N = 3 SE +/- 0.00550, N = 3 SE +/- 0.01425, N = 3 SE +/- 0.00419, N = 3 SE +/- 0.00416, N = 3 14.85490 8.14358 8.75896 8.77043 5.22927 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.032 0.064 0.096 0.128 0.16 0.142 0.111 0.100 0.093 0.034 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.6 104.4 125.1 EPYC 8324PN - Zen 4C 12.6 73.4 85.4 EPYC 8324P - Zen 4C, 155W 13.8 87.3 109.1 EPYC 8324P - Zen 4C 12.8 94.0 110.8 EPYC 7601 - Zen 1 60.0 155.5 175.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 15688 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 11891 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 14020 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 15102 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 27998 Joules per run.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 200K 400K 600K 800K 1000K SE +/- 136.41, N = 3 SE +/- 22.57, N = 3 SE +/- 30.98, N = 3 SE +/- 61.89, N = 3 SE +/- 714.27, N = 3 828697.4 430171.6 457514.1 457516.3 292445.3 1. (CC) gcc options: -pthread -m64 -O3 -ldl verify/s Per Watt
OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 1500 3000 4500 6000 7500 7110.60 5622.23 5076.37 4477.07 1719.96 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.6 116.5 129.4 EPYC 8324PN - Zen 4C 12.2 76.5 83.6 EPYC 8324P - Zen 4C, 155W 13.7 90.1 102.2 EPYC 8324P - Zen 4C 13.4 102.2 116.0 EPYC 7601 - Zen 1 65.7 170.0 178.2 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7498 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4897 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5798 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6574 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10825 Joules per run.
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.02133, N = 3 SE +/- 0.01797, N = 3 SE +/- 0.02372, N = 3 SE +/- 0.00420, N = 3 SE +/- 0.00450, N = 3 14.90860 8.13231 8.75784 8.79773 5.28576 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0286 0.0572 0.0858 0.1144 0.143 0.127 0.105 0.091 0.083 0.031 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 117.1 126.2 EPYC 8324PN - Zen 4C 12.5 77.2 86.1 EPYC 8324P - Zen 4C, 155W 13.7 95.9 110.1 EPYC 8324P - Zen 4C 13.2 106.5 111.2 EPYC 7601 - Zen 1 65.2 170.3 175.8 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11985 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 8754 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10681 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11826 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 21453 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 191.07 103.44 114.62 122.37 68.16
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.44, N = 3 192.06 104.13 115.42 122.93 68.95
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5.02 Mode: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12K 24K 36K 48K 60K SE +/- 123.39, N = 3 SE +/- 326.21, N = 3 SE +/- 150.82, N = 3 SE +/- 277.30, N = 3 SE +/- 105.66, N = 3 54204 28177 31536 33510 19914 vsamples Per Watt
OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 110 220 330 440 550 487.44 377.52 361.93 351.76 136.76 Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 111.2 137.4 EPYC 8324PN - Zen 4C 12.2 74.6 91.5 EPYC 8324P - Zen 4C, 155W 13.5 87.1 106.2 EPYC 8324P - Zen 4C 12.9 95.3 122.0 EPYC 7601 - Zen 1 64.1 145.6 179.2 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 5.02 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 9341 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6269 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7319 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 8002 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 12814 Joules per run.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 5000M 10000M 15000M 20000M 25000M SE +/- 1693446.92, N = 3 SE +/- 3220312.96, N = 3 SE +/- 794607.82, N = 3 SE +/- 1511880.16, N = 3 SE +/- 7664614.59, N = 3 22697266207 11644867590 12993940737 13803340747 8355425337 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40M 80M 120M 160M 200M 175273393.29 142108901.03 132126423.40 122734575.99 47835855.20 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.3 129.5 138.1 EPYC 8324PN - Zen 4C 13.0 81.9 88.0 EPYC 8324P - Zen 4C, 155W 13.6 98.3 106.9 EPYC 8324P - Zen 4C 12.8 112.5 125.9 EPYC 7601 - Zen 1 65.5 174.7 178.2 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 23827 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15050 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18063 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 20656 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 32023 Joules per run.
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 2.10, N = 5 SE +/- 1.17, N = 5 SE +/- 1.73, N = 6 SE +/- 1.24, N = 13 SE +/- 0.47, N = 3 190.89 167.16 175.75 182.26 70.77 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.8829 1.7658 2.6487 3.5316 4.4145 3.924 3.739 3.666 3.665 0.726 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.7 48.6 109.6 EPYC 8324PN - Zen 4C 12.5 44.5 82.7 EPYC 8324P - Zen 4C, 155W 13.2 47.9 100.4 EPYC 8324P - Zen 4C 12.0 49.7 112.3 EPYC 7601 - Zen 1 65.4 97.5 157.6 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 642 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 622 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 647 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 669 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 2112 Joules per run.
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 70K 140K 210K 280K 350K SE +/- 303.12, N = 3 SE +/- 39.63, N = 3 SE +/- 172.23, N = 3 SE +/- 329.87, N = 3 SE +/- 1639.95, N = 3 332922 212458 228957 240083 123746 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 38.66 72.96 65.03 59.64 101.10 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.4 119.8 137.2 EPYC 8324PN - Zen 4C 12.8 82.7 93.6 EPYC 8324P - Zen 4C, 155W 14.0 96.7 106.3 EPYC 8324P - Zen 4C 12.7 108.0 124.1 EPYC 7601 - Zen 1 65.7 170.3 178.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5231 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6447 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6772 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6981 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 18055 Joules per run.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 15000M 30000M 45000M 60000M 75000M SE +/- 41929433.75, N = 3 SE +/- 16148314.98, N = 3 SE +/- 12904999.14, N = 3 SE +/- 11419799.65, N = 3 SE +/- 58715423.07, N = 3 69910430987 35795826073 40200353400 43033082363 27015393267 1. (CC) gcc options: -pthread -m64 -O3 -ldl byte/s Per Watt
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 120M 240M 360M 480M 600M 546243197.78 436238930.85 416875314.97 387067179.89 155415474.32 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 128.0 136.2 EPYC 8324PN - Zen 4C 12.8 82.1 90.4 EPYC 8324P - Zen 4C, 155W 13.5 96.4 102.1 EPYC 8324P - Zen 4C 13.0 111.2 118.1 EPYC 7601 - Zen 1 65.3 173.8 178.2 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 23549 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15126 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 17711 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 20420 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 31984 Joules per run.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 95.44 182.47 161.95 148.76 246.71 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.1 127.8 135.8 EPYC 8324PN - Zen 4C 12.9 85.4 89.4 EPYC 8324P - Zen 4C, 155W 13.9 100.5 107.9 EPYC 8324P - Zen 4C 12.7 113.1 126.5 EPYC 7601 - Zen 1 65.4 174.7 178.7 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 12818 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 15974 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 16714 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 17301 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 43861 Joules per run.
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 70K 140K 210K 280K 350K SE +/- 107.49, N = 3 SE +/- 170.94, N = 3 SE +/- 181.34, N = 3 SE +/- 111.02, N = 3 SE +/- 602.42, N = 3 343946 179072 200034 211187 133490 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC MIPS Per Watt
OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 700 1400 2100 2800 3500 3105.30 2439.42 2334.06 2150.10 846.16 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.2 110.8 145.7 EPYC 8324PN - Zen 4C 12.3 73.4 90.8 EPYC 8324P - Zen 4C, 155W 13.6 85.7 113.3 EPYC 8324P - Zen 4C 12.8 98.2 130.5 EPYC 7601 - Zen 1 65.9 157.8 178.5 OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5132 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3059 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3285 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3601 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9203 Joules per run.
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50K 100K 150K 200K 250K SE +/- 302.03, N = 3 SE +/- 199.18, N = 3 SE +/- 49.01, N = 3 SE +/- 343.16, N = 3 SE +/- 357.56, N = 3 232146.41 139259.26 151923.62 166799.14 90952.15 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2 Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 400 800 1200 1600 2000 1785.71 1663.27 1532.61 1365.65 540.03 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.4 130.0 141.7 EPYC 8324PN - Zen 4C 12.8 83.7 92.6 EPYC 8324P - Zen 4C, 155W 13.5 99.1 113.1 EPYC 8324P - Zen 4C 12.3 122.1 134.6 EPYC 7601 - Zen 1 63.9 168.4 177.8 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 12610 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 8149 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9582 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11807 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 16337 Joules per run.
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 5 10 15 20 25 SE +/- 0.020, N = 3 SE +/- 0.010, N = 3 SE +/- 0.005, N = 3 SE +/- 0.058, N = 3 SE +/- 0.024, N = 3 21.767 11.249 12.572 13.573 8.586 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0437 0.0874 0.1311 0.1748 0.2185 0.194 0.137 0.130 0.122 0.051 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.4 112.4 140.3 EPYC 8324PN - Zen 4C 12.4 82.0 88.8 EPYC 8324P - Zen 4C, 155W 13.7 96.6 108.8 EPYC 8324P - Zen 4C 12.6 111.0 122.4 EPYC 7601 - Zen 1 64.9 166.9 178.8 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8581 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5438 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6408 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7327 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11070 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.83, N = 3 108.06 97.91 88.55 82.00 206.72 MIN: 53.32 / MAX: 156.54 MIN: 52.76 / MAX: 116.94 MIN: 48.33 / MAX: 138.85 MIN: 44.77 / MAX: 103.78 MIN: 173.41 / MAX: 362.84 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.5 131.7 146.8 EPYC 8324PN - Zen 4C 12.6 85.0 97.1 EPYC 8324P - Zen 4C, 155W 13.5 101.9 112.7 EPYC 8324P - Zen 4C 13.3 113.1 127.7 EPYC 7601 - Zen 1 64.9 165.7 175.9 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8648 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5607 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6625 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7427 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10936 Joules per run.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 76.32 146.90 130.67 119.58 191.71 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.2 124.3 133.0 EPYC 8324PN - Zen 4C 12.5 83.1 91.5 EPYC 8324P - Zen 4C, 155W 13.7 99.4 106.9 EPYC 8324P - Zen 4C 13.3 109.7 119.9 EPYC 7601 - Zen 1 65.7 174.0 178.2 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 10023 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 12610 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13423 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 13637 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 34167 Joules per run.
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3 6 9 12 15 SE +/- 0.011, N = 3 SE +/- 0.010, N = 3 SE +/- 0.013, N = 3 SE +/- 0.021, N = 3 SE +/- 0.010, N = 3 9.973 5.127 5.720 6.177 3.985 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0221 0.0442 0.0663 0.0884 0.1105 0.098 0.061 0.058 0.055 0.024 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 7.0 101.7 142.9 EPYC 8324PN - Zen 4C 12.4 83.6 91.8 EPYC 8324P - Zen 4C, 155W 13.8 98.9 111.2 EPYC 8324P - Zen 4C 13.3 112.5 129.6 EPYC 7601 - Zen 1 65.4 165.8 179.2 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8980 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5571 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6526 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7461 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11333 Joules per run.
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50K 100K 150K 200K 250K SE +/- 217.83, N = 3 SE +/- 213.01, N = 3 SE +/- 1108.21, N = 3 SE +/- 549.43, N = 3 SE +/- 911.83, N = 3 229161.91 136660.96 149458.34 164234.98 94936.99 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2 Requests Per Second Per Watt
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 500 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 400 800 1200 1600 2000 1802.11 1656.12 1536.38 1355.86 561.58 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.6 127.2 140.0 EPYC 8324PN - Zen 4C 11.7 82.5 91.8 EPYC 8324P - Zen 4C, 155W 12.9 97.3 110.2 EPYC 8324P - Zen 4C 11.6 121.1 132.4 EPYC 7601 - Zen 1 60.9 169.1 178.8 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 12335 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 8004 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9436 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11750 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 16398 Joules per run.
Redis 7.0.12 + memtier_benchmark Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 600K 1200K 1800K 2400K 3000K SE +/- 10691.43, N = 3 SE +/- 18767.16, N = 3 SE +/- 15002.29, N = 3 SE +/- 10431.24, N = 3 SE +/- 11184.62, N = 3 2513019.32 2500035.09 2720321.30 2795965.05 1159654.33 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre Ops/sec Per Watt
OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9K 18K 27K 36K 45K 27624.53 39908.91 36173.12 32252.28 7148.89 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.3 91.0 105.2 EPYC 8324PN - Zen 4C 12.3 62.6 75.6 EPYC 8324P - Zen 4C, 155W 13.4 75.2 93.2 EPYC 8324P - Zen 4C 12.0 86.7 99.3 EPYC 7601 - Zen 1 66.5 162.2 178.4 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6489 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4427 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5289 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6126 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11409 Joules per run.
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 14 28 42 56 70 SE +/- 0.39, N = 4 SE +/- 0.05, N = 4 SE +/- 0.14, N = 4 SE +/- 0.13, N = 4 SE +/- 0.28, N = 5 64.34 51.54 55.72 58.00 26.75 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.2171 0.4342 0.6513 0.8684 1.0855 0.965 0.882 0.855 0.826 0.215 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.2 66.7 108.8 EPYC 8324PN - Zen 4C 12.5 58.5 84.2 EPYC 8324P - Zen 4C, 155W 13.2 65.2 97.5 EPYC 8324P - Zen 4C 12.4 70.2 112.0 EPYC 7601 - Zen 1 63.7 124.3 172.5 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1151 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1140 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1222 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1281 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 4202 Joules per run.
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Multi-Threaded EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30K 60K 90K 120K 150K SE +/- 29.72, N = 3 SE +/- 122.23, N = 3 SE +/- 100.68, N = 3 SE +/- 60.04, N = 3 SE +/- 165.76, N = 3 154830.9 80175.3 90654.1 98717.2 64469.4 1. (CXX) g++ options: -O3 -march=native -fPIE -pie MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.32 Configuration: Multi-Threaded EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300 600 900 1200 1500 1273.59 1007.58 967.97 945.62 384.04 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.5 121.6 136.3 EPYC 8324PN - Zen 4C 12.5 79.6 95.3 EPYC 8324P - Zen 4C, 155W 13.3 93.7 108.8 EPYC 8324P - Zen 4C 12.8 104.4 122.9 EPYC 7601 - Zen 1 64.3 167.9 179.0 OpenBenchmarking.org Watts, Fewer Is Better QuantLib 1.32 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 10455 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6658 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6962 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7238 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 17235 Joules per run.
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 30.57 58.20 52.02 47.50 72.43 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.5 114.5 132.8 EPYC 8324PN - Zen 4C 12.9 80.0 91.2 EPYC 8324P - Zen 4C, 155W 13.9 95.1 107.1 EPYC 8324P - Zen 4C 13.0 104.0 116.7 EPYC 7601 - Zen 1 65.7 169.3 178.5 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4083 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5013 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5389 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 5406 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 13036 Joules per run.
Timed LLVM Compilation This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 90 180 270 360 450 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 1.25, N = 3 SE +/- 1.36, N = 3 SE +/- 0.41, N = 3 190.99 300.44 274.95 258.22 435.25 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.0 111.7 145.3 EPYC 8324PN - Zen 4C 12.7 80.9 93.6 EPYC 8324P - Zen 4C, 155W 13.7 93.7 109.1 EPYC 8324P - Zen 4C 13.3 104.4 129.2 EPYC 7601 - Zen 1 63.9 161.3 179.0 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 23574 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 25931 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 27653 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 29060 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 74091 Joules per run.
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.2189 0.4378 0.6567 0.8756 1.0945 SE +/- 0.00128, N = 3 SE +/- 0.00094, N = 3 SE +/- 0.00161, N = 3 SE +/- 0.00067, N = 3 SE +/- 0.00038, N = 3 0.43200 0.82790 0.73558 0.67728 0.97282 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.7 118.1 142.8 EPYC 8324PN - Zen 4C 12.1 80.9 90.2 EPYC 8324P - Zen 4C, 155W 13.9 94.8 107.7 EPYC 8324P - Zen 4C 13.5 106.4 125.6 EPYC 7601 - Zen 1 65.7 165.3 178.5 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 3346 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3990 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3857 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4044 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10909 Joules per run.
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 47.08 44.99 45.06 45.07 21.00 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.173 0.346 0.519 0.692 0.865 0.765 0.769 0.744 0.753 0.241 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 61.5 79.2 EPYC 8324PN - Zen 4C 12.7 58.5 74.5 EPYC 8324P - Zen 4C, 155W 13.2 60.5 78.7 EPYC 8324P - Zen 4C 12.6 59.8 78.4 EPYC 7601 - Zen 1 37.8 87.0 127.4 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11549 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 11448 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11845 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11685 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 34331 Joules per run.
Result
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 23.31 22.24 22.25 22.24 10.40 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0911 0.1822 0.2733 0.3644 0.4555 0.404 0.405 0.391 0.396 0.123 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.2 57.7 89.3 EPYC 8324PN - Zen 4C 12.7 55.0 76.7 EPYC 8324P - Zen 4C, 155W 13.3 57.0 89.0 EPYC 8324P - Zen 4C 12.7 56.2 86.2 EPYC 7601 - Zen 1 63.0 84.5 141.4 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11161 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 11051 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11471 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11307 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 29100 Joules per run.
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 80 160 240 320 400 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.67, N = 3 174.00 253.14 234.23 222.07 389.70 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 105.1 142.2 EPYC 8324PN - Zen 4C 11.8 78.7 97.6 EPYC 8324P - Zen 4C, 155W 13.5 90.5 113.3 EPYC 8324P - Zen 4C 12.4 100.3 130.4 EPYC 7601 - Zen 1 64.0 156.0 178.9 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 19.8.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 19191 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 20625 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 21992 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 23180 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 62259 Joules per run.
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 47.03 45.03 45.12 45.01 21.02 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.173 0.346 0.519 0.692 0.865 0.766 0.769 0.745 0.753 0.241 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 11.3 61.4 77.5 EPYC 8324PN - Zen 4C 11.9 58.6 75.3 EPYC 8324P - Zen 4C, 155W 13.3 60.5 78.2 EPYC 8324P - Zen 4C 12.5 59.8 75.2 EPYC 7601 - Zen 1 62.5 87.1 125.3 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11502 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 11458 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11824 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11715 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 34386 Joules per run.
Redis 7.0.12 + memtier_benchmark Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 600K 1200K 1800K 2400K 3000K SE +/- 20726.56, N = 3 SE +/- 11338.77, N = 3 SE +/- 16343.62, N = 3 SE +/- 3585.70, N = 3 SE +/- 10214.62, N = 3 2568868.49 2562876.16 2789711.34 2842511.46 1277853.47 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre Ops/sec Per Watt
OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9K 18K 27K 36K 45K 28227.25 41473.46 37066.25 32673.79 7946.04 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 91.0 106.9 EPYC 8324PN - Zen 4C 11.3 61.8 76.7 EPYC 8324P - Zen 4C, 155W 13.6 75.3 93.2 EPYC 8324P - Zen 4C 11.2 87.0 99.1 EPYC 7601 - Zen 1 64.4 160.8 178.4 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6492 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4367 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5369 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6119 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11418 Joules per run.
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 160 320 480 640 800 SE +/- 0.92, N = 3 SE +/- 0.77, N = 3 SE +/- 0.47, N = 3 SE +/- 0.84, N = 3 SE +/- 0.46, N = 3 341.48 539.24 487.58 449.99 752.60 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 123.1 141.4 EPYC 8324PN - Zen 4C 12.4 84.8 92.0 EPYC 8324P - Zen 4C, 155W 13.4 98.2 106.7 EPYC 8324P - Zen 4C 13.0 110.3 125.9 EPYC 7601 - Zen 1 63.3 169.3 179.5 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 43955 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 47036 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 49411 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 51341 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 130301 Joules per run.
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 SE +/- 0.45, N = 3 SE +/- 1.20, N = 3 65.47 90.07 84.38 80.92 144.01 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.0 133.5 153.7 EPYC 8324PN - Zen 4C 12.6 87.6 98.5 EPYC 8324P - Zen 4C, 155W 13.6 103.8 117.3 EPYC 8324P - Zen 4C 12.8 119.9 137.5 EPYC 7601 - Zen 1 66.2 166.8 178.9 OpenBenchmarking.org Watts, Fewer Is Better GPAW 23.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 9479 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 8355 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9272 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 10310 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 24905 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 1.56, N = 3 113.45 104.90 94.20 88.15 189.32 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.8 99.4 123.8 EPYC 8324PN - Zen 4C 12.6 67.5 83.1 EPYC 8324P - Zen 4C, 155W 12.7 78.5 91.9 EPYC 8324P - Zen 4C 12.9 87.7 109.6 EPYC 7601 - Zen 1 65.4 148.0 176.5 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4407 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3016 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3482 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3857 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7253 Joules per run.
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 SE +/- 0.04, N = 4 SE +/- 0.03, N = 3 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.08, N = 3 47.65 33.82 37.33 39.25 22.26 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1217 0.2434 0.3651 0.4868 0.6085 0.541 0.494 0.464 0.439 0.146 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 88.2 122.3 EPYC 8324PN - Zen 4C 12.8 68.5 88.7 EPYC 8324P - Zen 4C, 155W 13.7 80.5 105.1 EPYC 8324P - Zen 4C 13.0 89.3 117.0 EPYC 7601 - Zen 1 64.3 152.6 171.9 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1477 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1506 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1630 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1742 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 4782 Joules per run.
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 2 4 6 8 10 SE +/- 0.026, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.020, N = 3 SE +/- 0.004, N = 3 6.556 5.551 5.816 5.911 3.065 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0205 0.041 0.0615 0.082 0.1025 0.090 0.091 0.082 0.080 0.024 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.6 72.9 105.4 EPYC 8324PN - Zen 4C 12.6 61.3 86.3 EPYC 8324P - Zen 4C, 155W 13.3 70.5 101.6 EPYC 8324P - Zen 4C 12.7 74.3 120.0 EPYC 7601 - Zen 1 63.4 125.1 171.7 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2431 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2328 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2563 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2673 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8009 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 34.14 30.69 27.56 25.21 53.64 MIN: 18.62 / MAX: 101.35 MIN: 17.73 / MAX: 77.96 MIN: 15.77 / MAX: 72.29 MIN: 14.47 / MAX: 81.04 MIN: 52.65 / MAX: 65.91 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 124.7 135.8 EPYC 8324PN - Zen 4C 12.9 79.0 88.7 EPYC 8324P - Zen 4C, 155W 13.3 92.6 106.0 EPYC 8324P - Zen 4C 11.9 104.0 120.7 EPYC 7601 - Zen 1 65.0 153.8 166.6 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8149 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5134 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6020 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6757 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10046 Joules per run.
PyTorch Result
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12 24 36 48 60 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 45.23 52.90 52.91 52.72 24.89 MIN: 16.58 / MAX: 46.26 MIN: 50.6 / MAX: 53.56 MIN: 50.65 / MAX: 53.55 MIN: 50.17 / MAX: 53.72 MIN: 12.04 / MAX: 25.89 batches/sec Per Watt
OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1816 0.3632 0.5448 0.7264 0.908 0.552 0.807 0.781 0.784 0.162 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.4 82.0 98.6 EPYC 8324PN - Zen 4C 12.9 65.6 79.0 EPYC 8324P - Zen 4C, 155W 13.3 67.8 81.9 EPYC 8324P - Zen 4C 12.8 67.3 81.3 EPYC 7601 - Zen 1 63.8 153.6 174.3 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2651 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1880 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1943 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1929 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8194 Joules per run.
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3M 6M 9M 12M 15M SE +/- 117697.08, N = 15 SE +/- 50044.04, N = 3 SE +/- 7924.49, N = 3 SE +/- 52967.61, N = 15 SE +/- 81525.26, N = 3 12585315 6934544 7162203 7290610 5954251 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read While Writing EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20K 40K 60K 80K 100K 108503.02 88296.45 74216.65 64987.07 35300.60 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.6 116.0 134.1 EPYC 8324PN - Zen 4C 12.8 78.5 91.1 EPYC 8324P - Zen 4C, 155W 13.6 96.5 108.8 EPYC 8324P - Zen 4C 11.8 112.2 124.5 EPYC 7601 - Zen 1 65.3 168.7 178.1 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7447 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5079 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6208 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7202 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10851 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300 600 900 1200 1500 SE +/- 0.25, N = 3 SE +/- 0.30, N = 3 SE +/- 0.27, N = 3 SE +/- 0.30, N = 3 SE +/- 8.56, N = 3 776.54 722.10 647.89 611.15 1289.82 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 80.1 127.4 EPYC 8324PN - Zen 4C 12.8 60.3 86.0 EPYC 8324P - Zen 4C, 155W 13.2 67.0 108.3 EPYC 8324P - Zen 4C 12.1 71.4 119.7 EPYC 7601 - Zen 1 64.8 109.6 177.6 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6834 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5248 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5783 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6215 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 12090 Joules per run.
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 SE +/- 0.06, N = 4 SE +/- 0.03, N = 4 SE +/- 0.08, N = 4 SE +/- 0.03, N = 4 SE +/- 0.02, N = 3 49.22 36.75 40.50 42.94 23.58 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1287 0.2574 0.3861 0.5148 0.6435 0.572 0.535 0.506 0.485 0.155 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.0 86.0 119.7 EPYC 8324PN - Zen 4C 12.5 68.7 89.9 EPYC 8324P - Zen 4C, 155W 13.6 80.0 102.0 EPYC 8324P - Zen 4C 12.9 88.5 116.2 EPYC 7601 - Zen 1 65.3 152.6 171.2 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1419 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1409 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1500 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1615 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 4475 Joules per run.
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
Timed FFmpeg Compilation This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 19.38 27.57 25.68 24.49 39.89 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.0 76.2 137.8 EPYC 8324PN - Zen 4C 12.5 65.1 94.8 EPYC 8324P - Zen 4C, 155W 13.3 72.3 109.6 EPYC 8324P - Zen 4C 12.8 76.7 126.7 EPYC 7601 - Zen 1 63.7 132.0 179.3 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 6.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2082 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2300 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2411 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2454 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6335 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300 600 900 1200 1500 SE +/- 0.09, N = 3 SE +/- 0.79, N = 3 SE +/- 0.47, N = 3 SE +/- 1.23, N = 3 SE +/- 0.89, N = 3 982.33 894.20 801.19 752.51 1515.68 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 101.9 133.4 EPYC 8324PN - Zen 4C 12.5 69.7 89.0 EPYC 8324P - Zen 4C, 155W 13.2 80.1 102.2 EPYC 8324P - Zen 4C 11.8 88.8 121.7 EPYC 7601 - Zen 1 65.5 140.7 177.7 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5128 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3506 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4088 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4497 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8206 Joules per run.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.0062, N = 3 SE +/- 0.0084, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0229, N = 3 SE +/- 0.1244, N = 3 9.2520 8.3745 7.6064 7.2816 104.4436 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.7 96.8 114.2 EPYC 8324PN - Zen 4C 12.4 66.5 76.5 EPYC 8324P - Zen 4C, 155W 13.2 77.0 95.3 EPYC 8324P - Zen 4C 12.9 93.1 108.1 EPYC 7601 - Zen 1 64.5 159.1 177.2 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4034 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2794 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3207 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3879 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7054 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 49.43 25.41 28.58 31.25 3.81 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 1000 2000 3000 4000 5000 SE +/- 1.98, N = 3 SE +/- 0.51, N = 3 SE +/- 0.72, N = 3 SE +/- 0.48, N = 3 SE +/- 0.03, N = 3 4878.00 2520.77 2851.01 3102.13 376.97 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 300 600 900 1200 1500 SE +/- 0.18, N = 3 SE +/- 0.38, N = 3 SE +/- 1.07, N = 3 SE +/- 1.08, N = 3 SE +/- 7.41, N = 3 982.61 892.10 803.82 751.62 1501.61 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.3 86.8 132.4 EPYC 8324PN - Zen 4C 12.5 69.4 84.7 EPYC 8324P - Zen 4C, 155W 13.1 80.9 105.1 EPYC 8324P - Zen 4C 12.1 89.9 119.5 EPYC 7601 - Zen 1 64.7 140.6 177.4 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5237 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3517 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4071 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4467 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8155 Joules per run.
PyTorch Result
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9 18 27 36 45 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 36.23 40.36 40.54 40.59 20.48 MIN: 14.59 / MAX: 36.98 MIN: 18.81 / MAX: 40.93 MIN: 14.7 / MAX: 41.23 MIN: 14.97 / MAX: 41.27 MIN: 11.38 / MAX: 21.17 batches/sec Per Watt
OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1211 0.2422 0.3633 0.4844 0.6055 0.389 0.538 0.519 0.527 0.127 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.8 93.2 106.3 EPYC 8324PN - Zen 4C 12.6 75.0 85.7 EPYC 8324P - Zen 4C, 155W 13.1 78.0 89.1 EPYC 8324P - Zen 4C 12.8 77.1 88.7 EPYC 7601 - Zen 1 64.7 161.6 173.2 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5841 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4198 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4318 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4265 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 17186 Joules per run.
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.31, N = 3 SE +/- 0.30, N = 3 SE +/- 0.11, N = 3 115.11 109.77 109.71 109.84 58.09 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.459 0.918 1.377 1.836 2.295 2.005 2.040 1.977 1.988 0.704 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.2 57.4 78.9 EPYC 8324PN - Zen 4C 12.3 53.8 71.4 EPYC 8324P - Zen 4C, 155W 13.5 55.5 74.6 EPYC 8324P - Zen 4C 12.0 55.2 74.9 EPYC 7601 - Zen 1 64.0 82.5 112.1 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4037 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3963 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4107 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4052 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10012 Joules per run.
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm16 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 200 400 600 800 1000 SE +/- 0.16, N = 3 SE +/- 0.30, N = 3 SE +/- 0.34, N = 3 SE +/- 0.11, N = 3 SE +/- 3.58, N = 3 496.55 492.50 489.04 489.47 954.73 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp CPU Power Consumption
OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 Min: 14.26 / Avg: 127.08 / Max: 131.51 Min: 12.95 / Avg: 99.07 / Max: 101.75 Min: 13.89 / Avg: 107.71 / Max: 111.6 Min: 13.29 / Avg: 107.42 / Max: 111.27 Min: 65.7 / Avg: 148.58 / Max: 160.53 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 63412 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 49039 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 52957 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 52853 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 141842 Joules per run.
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 200 400 600 800 1000 SE +/- 0.84, N = 3 SE +/- 0.29, N = 3 SE +/- 0.57, N = 3 SE +/- 0.69, N = 3 SE +/- 15.13, N = 9 563.35 628.84 612.20 608.23 1092.51 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz CPU Power Consumption
OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 Min: 14.11 / Avg: 126.57 / Max: 133.41 Min: 12.94 / Avg: 93.37 / Max: 98.13 Min: 13.85 / Avg: 102.88 / Max: 107.73 Min: 12.9 / Avg: 104.53 / Max: 115.04 Min: 65.72 / Avg: 150.35 / Max: 171.92 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 72400 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 59726 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 63923 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 64531 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 164864 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.35, N = 3 74.43 69.60 62.82 59.87 115.78 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 102.0 122.5 EPYC 8324PN - Zen 4C 12.9 68.0 79.8 EPYC 8324P - Zen 4C, 155W 13.3 80.5 100.1 EPYC 8324P - Zen 4C 13.0 96.8 111.3 EPYC 7601 - Zen 1 66.1 159.0 177.4 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4250 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2857 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3328 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4034 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6943 Joules per run.
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read While Writing EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 1.4M 2.8M 4.2M 5.6M 7M SE +/- 64443.01, N = 15 SE +/- 3126.89, N = 3 SE +/- 47925.84, N = 5 SE +/- 38567.21, N = 15 SE +/- 36400.82, N = 3 6688089 4107313 4301343 4394310 3463695 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read While Writing EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12K 24K 36K 48K 60K 57031.64 51316.29 43556.26 38762.72 20446.35 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 117.3 138.2 EPYC 8324PN - Zen 4C 12.1 80.0 93.0 EPYC 8324P - Zen 4C, 155W 13.5 98.8 110.3 EPYC 8324P - Zen 4C 13.2 113.4 129.0 EPYC 7601 - Zen 1 65.8 169.4 177.9 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7521 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5149 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6320 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7255 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10842 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.43, N = 3 74.41 69.51 62.88 59.87 115.35
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 27.51 24.03 25.45 25.55 14.29 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0878 0.1756 0.2634 0.3512 0.439 0.362 0.390 0.342 0.343 0.112 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.6 76.1 96.9 EPYC 8324PN - Zen 4C 12.1 61.6 76.0 EPYC 8324P - Zen 4C, 155W 13.2 74.4 91.2 EPYC 8324P - Zen 4C 10.4 74.6 95.5 EPYC 7601 - Zen 1 64.3 128.0 150.6 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2003 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1828 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2082 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2064 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 5887 Joules per run.
Timed LLVM Compilation This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 110 220 330 440 550 SE +/- 0.46, N = 3 SE +/- 0.95, N = 3 SE +/- 1.23, N = 3 SE +/- 0.60, N = 3 SE +/- 1.30, N = 3 277.91 371.54 349.61 334.29 529.40 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 95.2 143.0 EPYC 8324PN - Zen 4C 12.7 74.8 93.4 EPYC 8324P - Zen 4C, 155W 13.6 85.3 110.0 EPYC 8324P - Zen 4C 13.0 93.0 129.4 EPYC 7601 - Zen 1 63.2 148.4 179.0 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 28928 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 29802 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 32095 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 33579 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 83327 Joules per run.
uvg266 uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 12 24 36 48 60 SE +/- 0.14, N = 4 SE +/- 0.04, N = 4 SE +/- 0.06, N = 4 SE +/- 0.05, N = 4 SE +/- 0.03, N = 3 51.33 41.02 44.81 46.54 27.29 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.1427 0.2854 0.4281 0.5708 0.7135 0.634 0.623 0.581 0.546 0.184 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.4 81.0 114.6 EPYC 8324PN - Zen 4C 12.6 65.8 87.1 EPYC 8324P - Zen 4C, 155W 13.5 77.1 102.8 EPYC 8324P - Zen 4C 12.8 85.3 111.9 EPYC 7601 - Zen 1 64.4 148.0 169.3 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 1315 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 1234 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1349 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 1450 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 3897 Joules per run.
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 57.42 57.52 57.04 56.91 106.27 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 115.8 126.2 EPYC 8324PN - Zen 4C 12.6 91.0 99.0 EPYC 8324P - Zen 4C, 155W 13.7 98.3 107.3 EPYC 8324P - Zen 4C 13.0 99.2 108.3 EPYC 7601 - Zen 1 66.3 146.4 160.4 OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7335 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5736 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6162 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6217 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 16396 Joules per run.
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 6 12 18 24 30 SE +/- 0.28, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 25.72 15.69 17.42 18.41 13.78 1. (CXX) g++ options: -O3 -lm -ldl ns/day Per Watt
OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0452 0.0904 0.1356 0.1808 0.226 0.201 0.192 0.181 0.167 0.080 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 128.0 132.4 EPYC 8324PN - Zen 4C 13.0 81.7 84.7 EPYC 8324P - Zen 4C, 155W 13.9 96.5 105.3 EPYC 8324P - Zen 4C 13.5 110.0 122.8 EPYC 7601 - Zen 1 65.6 172.4 175.7 OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 43606 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 45365 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 48232 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 52074 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 108584 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 12.47 11.15 10.18 9.34 17.20 MIN: 7.72 / MAX: 24.35 MIN: 7.24 / MAX: 68.4 MIN: 6.06 / MAX: 60 MIN: 5.89 / MAX: 67.06 MIN: 16.21 / MAX: 31.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.6 123.5 136.6 EPYC 8324PN - Zen 4C 12.6 82.1 88.2 EPYC 8324P - Zen 4C, 155W 13.5 98.0 108.0 EPYC 8324P - Zen 4C 13.3 110.5 119.3 EPYC 7601 - Zen 1 64.7 165.9 176.2 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8111 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5337 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6400 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7147 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10783 Joules per run.
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 9 18 27 36 45 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 20.98 24.35 23.77 23.91 37.99 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 109.4 133.8 EPYC 8324PN - Zen 4C 13.1 84.8 99.1 EPYC 8324P - Zen 4C, 155W 13.9 94.2 111.7 EPYC 8324P - Zen 4C 13.3 92.5 109.1 EPYC 7601 - Zen 1 65.4 144.5 159.8 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2880 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2517 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2701 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2684 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6214 Joules per run.
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.88, N = 3 166.95 154.28 139.18 130.42 234.02 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.7 106.4 129.0 EPYC 8324PN - Zen 4C 12.3 70.8 81.0 EPYC 8324P - Zen 4C, 155W 13.0 82.6 98.1 EPYC 8324P - Zen 4C 13.0 91.9 117.7 EPYC 7601 - Zen 1 64.8 157.0 176.8 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4505 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2975 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3495 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3862 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6959 Joules per run.
Result
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 1.50, N = 3 166.03 153.40 138.23 129.84 231.40 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.8 105.5 121.8 EPYC 8324PN - Zen 4C 12.6 69.8 83.0 EPYC 8324P - Zen 4C, 155W 13.4 82.5 101.3 EPYC 8324P - Zen 4C 11.4 91.0 116.6 EPYC 7601 - Zen 1 64.4 156.5 176.5 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4466 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2953 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3436 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3823 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6885 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.61, N = 3 SE +/- 0.62, N = 3 SE +/- 0.19, N = 3 SE +/- 0.35, N = 3 SE +/- 0.84, N = 3 157.93 121.74 110.77 106.00 188.25 MIN: 61.12 / MAX: 229.82 MIN: 59.66 / MAX: 172.6 MIN: 56.47 / MAX: 138.98 MIN: 49.62 / MAX: 149.63 MIN: 171.32 / MAX: 233.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.0 135.5 149.3 EPYC 8324PN - Zen 4C 13.0 87.0 99.0 EPYC 8324P - Zen 4C, 155W 13.5 102.0 112.3 EPYC 8324P - Zen 4C 13.0 116.5 130.1 EPYC 7601 - Zen 1 64.8 166.9 177.2 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8940 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5744 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6662 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7569 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11014 Joules per run.
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3 6 9 12 15 SE +/- 0.012, N = 3 SE +/- 0.030, N = 3 SE +/- 0.030, N = 3 SE +/- 0.010, N = 3 SE +/- 0.044, N = 3 11.272 10.291 10.635 10.741 6.358 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0356 0.0712 0.1068 0.1424 0.178 0.158 0.147 0.135 0.134 0.049 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.0 71.1 115.0 EPYC 8324PN - Zen 4C 12.9 69.8 89.3 EPYC 8324P - Zen 4C, 155W 13.1 78.7 103.8 EPYC 8324P - Zen 4C 11.8 80.4 107.5 EPYC 7601 - Zen 1 64.8 129.1 162.9 OpenBenchmarking.org Watts, Fewer Is Better VVenC 1.9 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5263 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4493 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4905 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 4987 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 12997 Joules per run.
rav1e Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 10 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3 6 9 12 15 SE +/- 0.125, N = 5 SE +/- 0.146, N = 4 SE +/- 0.138, N = 4 SE +/- 0.141, N = 4 SE +/- 0.075, N = 4 12.186 11.824 11.818 11.790 6.995 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 10 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0509 0.1018 0.1527 0.2036 0.2545 0.223 0.226 0.221 0.222 0.079 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 54.6 59.0 EPYC 8324PN - Zen 4C 12.2 52.3 56.9 EPYC 8324P - Zen 4C, 155W 13.3 53.6 58.5 EPYC 8324P - Zen 4C 12.6 53.1 58.3 EPYC 7601 - Zen 1 45.5 88.5 96.7 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 20 40 60 80 100 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2907 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2878 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2973 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2918 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7946 Joules per run.
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 70K 140K 210K 280K 350K SE +/- 2986.90, N = 15 SE +/- 863.96, N = 3 SE +/- 167.58, N = 3 SE +/- 579.72, N = 3 SE +/- 190.36, N = 3 349745 305729 317634 317250 203823 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Update Random EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 900 1800 2700 3600 4500 3874.59 4423.42 4047.08 4050.08 1640.50 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 90.3 116.2 EPYC 8324PN - Zen 4C 12.9 69.1 79.1 EPYC 8324P - Zen 4C, 155W 13.6 78.5 88.0 EPYC 8324P - Zen 4C 12.2 78.3 88.2 EPYC 7601 - Zen 1 65.1 124.2 142.7 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 5825 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4446 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5075 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 5039 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 8034 Joules per run.
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.52, N = 4 SE +/- 0.71, N = 3 SE +/- 0.67, N = 3 SE +/- 0.71, N = 3 SE +/- 0.84, N = 3 44.42 58.52 54.80 52.14 76.20 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.5 80.7 135.1 EPYC 8324PN - Zen 4C 12.6 66.3 90.0 EPYC 8324P - Zen 4C, 155W 13.5 74.0 109.8 EPYC 8324P - Zen 4C 13.0 78.5 123.4 EPYC 7601 - Zen 1 63.8 131.7 179.3 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 4460 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4704 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4930 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 5047 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 11812 Joules per run.
Timed Gem5 Compilation This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 90 180 270 360 450 SE +/- 2.69, N = 4 SE +/- 3.60, N = 3 SE +/- 1.97, N = 3 SE +/- 2.62, N = 9 SE +/- 4.56, N = 3 230.99 295.06 266.95 263.53 394.62 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 80.4 136.2 EPYC 8324PN - Zen 4C 12.8 68.4 89.8 EPYC 8324P - Zen 4C, 155W 13.6 76.8 105.3 EPYC 8324P - Zen 4C 11.2 81.5 124.9 EPYC 7601 - Zen 1 36.0 132.1 179.2 OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 23.0.1 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 19049 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 20580 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 20972 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 21943 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 52911 Joules per run.
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 164.21 147.22 147.28 147.25 98.90 Items Per Second Per Watt
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.441 0.882 1.323 1.764 2.205 1.460 1.960 1.721 1.501 0.651 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.8 112.4 131.6 EPYC 8324PN - Zen 4C 12.8 75.1 88.1 EPYC 8324P - Zen 4C, 155W 13.6 85.6 106.9 EPYC 8324P - Zen 4C 12.6 98.1 119.5 EPYC 7601 - Zen 1 65.4 151.9 175.1 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 20428 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 11016 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 12441 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 16938 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 23594 Joules per run.
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 110 220 330 440 550 SE +/- 0.58, N = 3 SE +/- 0.66, N = 3 SE +/- 0.48, N = 3 SE +/- 0.38, N = 3 SE +/- 0.95, N = 3 300.62 391.36 382.57 381.88 498.23 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.9 125.7 137.9 EPYC 8324PN - Zen 4C 12.9 93.3 99.2 EPYC 8324P - Zen 4C, 155W 13.9 107.2 114.8 EPYC 8324P - Zen 4C 13.0 109.6 120.3 EPYC 7601 - Zen 1 65.7 156.7 172.2 OpenBenchmarking.org Watts, Fewer Is Better OpenRadioss 2023.09.15 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 42391 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 39914 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 44916 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 45842 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 85943 Joules per run.
rav1e Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 6 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 1.0953 2.1906 3.2859 4.3812 5.4765 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.020, N = 3 4.868 4.727 4.731 4.706 2.963 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0203 0.0406 0.0609 0.0812 0.1015 0.090 0.090 0.088 0.089 0.032 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.2 54.2 61.9 EPYC 8324PN - Zen 4C 12.7 52.4 59.7 EPYC 8324P - Zen 4C, 155W 13.3 54.0 61.3 EPYC 8324P - Zen 4C 12.5 53.1 60.2 EPYC 7601 - Zen 1 65.7 93.2 104.7 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 20 40 60 80 100 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 2456 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2444 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2504 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 2477 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 6714 Joules per run.
DuckDB DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: IMDB EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.90, N = 3 127.20 123.67 122.14 121.49 198.94 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.1 66.6 95.3 EPYC 8324PN - Zen 4C 12.6 61.6 85.7 EPYC 8324P - Zen 4C, 155W 13.4 65.2 91.1 EPYC 8324P - Zen 4C 12.8 66.4 96.5 EPYC 7601 - Zen 1 62.2 99.7 146.8 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 11693 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 10489 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10947 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 11089 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 30599 Joules per run.
Quicksilver Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P1 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 5M 10M 15M 20M 25M SE +/- 18559.21, N = 3 SE +/- 24037.01, N = 3 SE +/- 106926.77, N = 3 SE +/- 66583.28, N = 3 SE +/- 105830.05, N = 3 21233333 18273333 18950000 18880000 13030000 1. (CXX) g++ options: -fopenmp -O3 -march=native Figure Of Merit Per Watt
OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CORAL2 P1 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50K 100K 150K 200K 250K 195063.32 243826.72 208244.59 208439.28 87231.32 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.3 108.9 118.9 EPYC 8324PN - Zen 4C 12.5 74.9 88.5 EPYC 8324P - Zen 4C, 155W 14.0 91.0 98.6 EPYC 8324P - Zen 4C 13.2 90.6 97.7 EPYC 7601 - Zen 1 65.4 149.4 162.5 OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6350 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5021 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5885 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 5857 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 13792 Joules per run.
Apache Cassandra This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50K 100K 150K 200K 250K SE +/- 1997.81, N = 3 SE +/- 423.47, N = 3 SE +/- 522.48, N = 3 SE +/- 371.97, N = 3 SE +/- 1316.75, N = 8 244177 212207 224034 223293 150277 Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.1.3 Test: Writes EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 600 1200 1800 2400 3000 2486.66 2829.25 2447.90 2451.59 977.63 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.5 98.2 123.2 EPYC 8324PN - Zen 4C 11.8 75.0 87.7 EPYC 8324P - Zen 4C, 155W 13.4 91.5 104.6 EPYC 8324P - Zen 4C 12.7 91.1 108.3 EPYC 7601 - Zen 1 63.3 153.7 181.9 OpenBenchmarking.org Watts, Fewer Is Better Apache Cassandra 4.1.3 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 15318 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 10926 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13332 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 13298 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 21232 Joules per run.
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20M 40M 60M 80M 100M SE +/- 820005.27, N = 3 SE +/- 90002.32, N = 3 SE +/- 1107129.95, N = 12 SE +/- 458351.52, N = 3 SE +/- 395656.07, N = 3 82731495 77285152 70294901 80321359 51950735
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 60M 120M 180M 240M 300M SE +/- 1948629.96, N = 3 SE +/- 363531.75, N = 3 SE +/- 2369703.74, N = 3 SE +/- 634968.78, N = 3 SE +/- 1494376.42, N = 3 288394300 247500133 258716167 268773267 181795967 1. (CXX) g++ options: -O3 -fopenmp -ldl Throughput FoM Per Watt
OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 600K 1200K 1800K 2400K 3000K 2490692.28 2943707.26 2674408.73 2566916.47 1133698.87 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.7 115.8 137.0 EPYC 8324PN - Zen 4C 13.0 84.1 103.7 EPYC 8324P - Zen 4C, 155W 14.2 96.7 118.5 EPYC 8324P - Zen 4C 12.6 104.7 123.6 EPYC 7601 - Zen 1 66.0 160.4 176.7 OpenBenchmarking.org Watts, Fewer Is Better Kripke 1.2.6 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 3898 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 3167 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3515 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 3665 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 7911 Joules per run.
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 20 40 60 80 100 SE +/- 0.27, N = 3 SE +/- 0.18, N = 3 SE +/- 0.98, N = 12 SE +/- 0.50, N = 3 SE +/- 0.92, N = 3 54.71 58.92 62.60 57.21 86.19 MAX: 10074.09 MAX: 10097.01 MAX: 11339.9 MAX: 10096.05 MAX: 12666.75 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.7 55.7 128.6 EPYC 8324PN - Zen 4C 12.5 49.1 99.2 EPYC 8324P - Zen 4C, 155W 13.1 55.6 125.1 EPYC 8324P - Zen 4C 12.6 54.7 118.9 EPYC 7601 - Zen 1 62.6 113.6 173.4 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7185 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 6558 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6288 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7214 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 20529 Joules per run.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 7.52 7.13 6.30 5.77 9.09 MIN: 3.38 / MAX: 63.31 MIN: 3.71 / MAX: 59.81 MIN: 3.34 / MAX: 35.73 MIN: 3.23 / MAX: 59.13 MIN: 9.03 / MAX: 17.52 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.4 126.6 136.6 EPYC 8324PN - Zen 4C 12.2 80.1 89.9 EPYC 8324P - Zen 4C, 155W 13.2 94.2 106.4 EPYC 8324P - Zen 4C 12.9 105.9 120.6 EPYC 7601 - Zen 1 65.0 151.0 162.8 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 8228 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5204 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6122 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6846 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 9716 Joules per run.
Speedb Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 500K 1000K 1500K 2000K 2500K SE +/- 2240.30, N = 3 SE +/- 1833.01, N = 3 SE +/- 1300.80, N = 3 SE +/- 3849.48, N = 3 SE +/- 4528.27, N = 3 2272026 1982257 2133311 2233744 1447819 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread Op/s Per Watt
OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read Random Write Random EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 6K 12K 18K 24K 30K 20292.36 25808.68 22326.89 20899.63 9121.91 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.1 112.0 127.0 EPYC 8324PN - Zen 4C 12.2 76.8 90.2 EPYC 8324P - Zen 4C, 155W 13.7 95.5 110.7 EPYC 8324P - Zen 4C 13.1 106.9 119.8 EPYC 7601 - Zen 1 65.3 158.7 177.5 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7240 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 4967 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6115 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 6876 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 10264 Joules per run.
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 184.16 172.69 163.04 153.15 229.49 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
Quicksilver Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 3M 6M 9M 12M 15M SE +/- 23094.01, N = 3 SE +/- 25166.11, N = 3 SE +/- 43333.33, N = 3 SE +/- 29627.31, N = 3 SE +/- 54569.02, N = 3 16300000 14030000 14376667 14313333 11443333 1. (CXX) g++ options: -fopenmp -O3 -march=native Figure Of Merit Per Watt
OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CTS2 EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40K 80K 120K 160K 200K 144074.42 171302.45 156169.03 156624.76 72917.48 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.7 113.1 116.6 EPYC 8324PN - Zen 4C 12.8 81.9 87.7 EPYC 8324P - Zen 4C, 155W 13.7 92.1 94.7 EPYC 8324P - Zen 4C 11.8 91.4 93.8 EPYC 7601 - Zen 1 66.8 156.9 165.2 OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 35713 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 29949 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 32896 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 32777 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 70359 Joules per run.
DuckDB DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: TPC-H Parquet EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 50 100 150 200 250 SE +/- 0.63, N = 3 SE +/- 0.25, N = 3 SE +/- 0.48, N = 3 SE +/- 0.21, N = 3 SE +/- 1.55, N = 3 178.70 182.93 181.39 182.78 249.19 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 12.9 52.9 89.1 EPYC 8324PN - Zen 4C 12.1 49.7 74.3 EPYC 8324P - Zen 4C, 155W 13.1 51.0 85.1 EPYC 8324P - Zen 4C 12.2 51.1 87.6 EPYC 7601 - Zen 1 64.1 79.1 142.3 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 12829 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 12358 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 12716 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 12695 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 27253 Joules per run.
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 Min: 6.99 / Avg: 97.94 / Max: 154.25 Min: 6.71 / Avg: 71.8 / Max: 108.62 Min: 11.47 / Avg: 82.06 / Max: 125.14 Min: 6.76 / Avg: 88.61 / Max: 141.34 Min: 32.69 / Avg: 143.24 / Max: 192.83
Xmrig Min Avg Max EPYC 8534PN - Zen 4C 14.1 131.4 143.8 EPYC 8324PN - Zen 4C 13.1 89.2 95.6 EPYC 8324P - Zen 4C, 155W 13.0 105.5 115.0 EPYC 8324P - Zen 4C 13.6 126.9 138.0 EPYC 7601 - Zen 1 65.7 150.1 166.7 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 155.95 189.15 171.50 148.73 31.23
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4K 8K 12K 16K 20K SE +/- 5.33, N = 3 SE +/- 33.52, N = 3 SE +/- 61.47, N = 3 SE +/- 43.40, N = 3 SE +/- 218.18, N = 11 20487.2 16877.9 18088.7 18875.2 4687.9 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 155.95 189.15 171.50 148.73 31.23 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.1 131.4 143.8 EPYC 8324PN - Zen 4C 13.1 89.2 95.6 EPYC 8324P - Zen 4C, 155W 13.0 105.5 115.0 EPYC 8324P - Zen 4C 13.6 126.9 138.0 EPYC 7601 - Zen 1 65.7 150.1 166.7 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7050 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5800 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6399 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7445 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 33899 Joules per run.
Min Avg Max EPYC 8534PN - Zen 4C 14.9 130.3 143.1 EPYC 8324PN - Zen 4C 13.1 89.0 95.9 EPYC 8324P - Zen 4C, 155W 13.6 104.6 114.3 EPYC 8324P - Zen 4C 13.5 127.5 138.3 EPYC 7601 - Zen 1 65.9 152.8 165.7 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 157.28 190.30 173.49 148.12 33.30
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4K 8K 12K 16K 20K SE +/- 6.48, N = 3 SE +/- 35.06, N = 3 SE +/- 44.77, N = 3 SE +/- 41.98, N = 3 SE +/- 166.19, N = 12 20489.8 16932.8 18155.0 18883.2 5087.4 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 157.28 190.30 173.49 148.12 33.30 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.9 130.3 143.1 EPYC 8324PN - Zen 4C 13.1 89.0 95.9 EPYC 8324P - Zen 4C, 155W 13.6 104.6 114.3 EPYC 8324P - Zen 4C 13.5 127.5 138.3 EPYC 7601 - Zen 1 65.9 152.8 165.7 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7078 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5784 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6279 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7437 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 31590 Joules per run.
Min Avg Max EPYC 8534PN - Zen 4C 14.6 129.8 142.6 EPYC 8324PN - Zen 4C 13.1 89.0 95.5 EPYC 8324P - Zen 4C, 155W 13.4 104.8 115.5 EPYC 8324P - Zen 4C 11.2 126.8 137.8 EPYC 7601 - Zen 1 65.4 152.1 165.1 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 157.77 188.75 172.66 149.20 33.27
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4K 8K 12K 16K 20K SE +/- 12.46, N = 3 SE +/- 103.09, N = 3 SE +/- 49.53, N = 3 SE +/- 50.80, N = 3 SE +/- 202.60, N = 12 20477.1 16799.2 18090.9 18922.7 5061.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 157.77 188.75 172.66 149.20 33.27 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 14.6 129.8 142.6 EPYC 8324PN - Zen 4C 13.1 89.0 95.5 EPYC 8324P - Zen 4C, 155W 13.4 104.8 115.5 EPYC 8324P - Zen 4C 11.2 126.8 137.8 EPYC 7601 - Zen 1 65.4 152.1 165.1 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 7009 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5785 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6392 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7356 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 31798 Joules per run.
Min Avg Max EPYC 8534PN - Zen 4C 13.6 127.4 140.9 EPYC 8324PN - Zen 4C 12.8 89.3 95.4 EPYC 8324P - Zen 4C, 155W 12.8 104.1 113.6 EPYC 8324P - Zen 4C 12.8 125.6 136.7 EPYC 7601 - Zen 1 66.9 152.3 164.3 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 160.74 189.12 174.20 150.56 32.66
Result
OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 4K 8K 12K 16K 20K SE +/- 5.73, N = 3 SE +/- 34.05, N = 3 SE +/- 43.26, N = 3 SE +/- 56.24, N = 3 SE +/- 155.10, N = 12 20484.3 16892.3 18129.0 18908.9 4973.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M EPYC 8534PN - Zen 4C EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 40 80 120 160 200 160.74 189.12 174.20 150.56 32.66 CPU Power Consumption
Min Avg Max EPYC 8534PN - Zen 4C 13.6 127.4 140.9 EPYC 8324PN - Zen 4C 12.8 89.3 95.4 EPYC 8324P - Zen 4C, 155W 12.8 104.1 113.6 EPYC 8324P - Zen 4C 12.8 125.6 136.7 EPYC 7601 - Zen 1 66.9 152.3 164.3 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 50 100 150 200 250 1. EPYC 8534PN - Zen 4C: Approximate power consumption of 6839 Joules per run. 2. EPYC 8324PN - Zen 4C: Approximate power consumption of 5776 Joules per run. 3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6314 Joules per run. 4. EPYC 8324P - Zen 4C: Approximate power consumption of 7326 Joules per run. 5. EPYC 7601 - Zen 1: Approximate power consumption of 32155 Joules per run.
Llama.cpp Min Avg Max EPYC 8324PN - Zen 4C 12.6 82.4 100.5 EPYC 8324P - Zen 4C, 155W 12.5 89.1 113.3 EPYC 8324P - Zen 4C 11.8 92.9 119.1 EPYC 7601 - Zen 1 64.9 132.4 154.0 OpenBenchmarking.org Watts, Fewer Is Better Llama.cpp b1808 CPU Power Consumption Monitor 40 80 120 160 200
OpenBenchmarking.org Tokens Per Second Per Watt, More Is Better Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0779 0.1558 0.2337 0.3116 0.3895 0.346 0.330 0.320 0.032
Result
OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 15 28.56 29.38 29.72 4.20 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas Tokens Per Second Per Watt
OpenBenchmarking.org Tokens Per Second Per Watt, More Is Better Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf EPYC 8324PN - Zen 4C EPYC 8324P - Zen 4C, 155W EPYC 8324P - Zen 4C EPYC 7601 - Zen 1 0.0779 0.1558 0.2337 0.3116 0.3895 0.346 0.330 0.320 0.032 CPU Power Consumption
Min Avg Max EPYC 8324PN - Zen 4C 12.6 82.4 100.5 EPYC 8324P - Zen 4C, 155W 12.5 89.1 113.3 EPYC 8324P - Zen 4C 11.8 92.9 119.1 EPYC 7601 - Zen 1 64.9 132.4 154.0 OpenBenchmarking.org Watts, Fewer Is Better Llama.cpp b1808 CPU Power Consumption Monitor 40 80 120 160 200 1. EPYC 8324PN - Zen 4C: Approximate power consumption of 1924 Joules per run. 2. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2138 Joules per run. 3. EPYC 8324P - Zen 4C: Approximate power consumption of 2199 Joules per run. 4. EPYC 7601 - Zen 1: Approximate power consumption of 14661 Joules per run.
EPYC 7601 - Zen 1 Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD, Disk: 1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126eJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 January 2024 15:35 by user phoronix.
EPYC 8324P - Zen 4C Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 12 January 2024 00:50 by user phoronix.
EPYC 8324P - Zen 4C, 155W Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 12 January 2024 19:57 by user phoronix.
EPYC 8324PN - Zen 4C Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 10 January 2024 14:58 by user phoronix.
EPYC 8534PN - Zen 4C Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 9 January 2024 15:21 by user phoronix.