AMD EPYC Zen 1

AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401081-NE-AMDEPYCZE16
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Result
Identifier
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Date
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  Duration
Zen 1 - EPYC 7601
January 06
  1 Day, 1 Hour, 51 Minutes
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Zen 1 - EPYC 7601

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, 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: madvise
Compiler 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 -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security 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

AMD EPYC Zen 1OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h128GB280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8llvmpipeVE2282 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.6.9-060609-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.74.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAMD EPYC Zen 1 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)- Python 3.11.6- 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

AMD EPYC Zen 1nginx: 500nginx: 1000openssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305apache: 1000apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400duckdb: IMDBduckdb: TPC-H Parquetcassandra: Writesspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randmemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5compress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-ffmpeg: Time To Compilequantlib: Multi-Threadedspecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400gpaw: Carbon Nanotubelammps: 20k Atomscloverleaf: clover_bm64_shortcloverleaf: clover_bm16kripke: incompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnamd: ATPase Simulation - 327,506 Atomsgromacs: MPI CPU - water_GMX50_barequicksilver: CORAL2 P1quicksilver: CORAL2 P2quicksilver: CTS2y-cruncher: 500My-cruncher: 1Bmt-dgemm: Sustained Floating-Point Ratemrbayes: Primate Phylogeny Analysisblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timev-ray: CPUindigobench: CPU - Supercarindigobench: CPU - Bedroomffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Krav1e: 10rav1e: 6rav1e: 5rav1e: 1x265: Bosphorus 4Kuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasteropenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamtensorflow: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50xmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1MZen 1 - EPYC 7601103269.83100664.354510.7293924.12705683040083161841709764500948789948428697479200259673031549069088038.283871226346.2938176456166.005375994085.0752849125294.7558774090127.2659444334421.304604958939.4045921074147.895699381182.0757037441318.2458403756129.7760237625488.64199.014245.742152887868670416145679143607420155584798204337187615091842906181183656.971142464.1612393413441776.300755.017435.054529.717387.652388.02339.78964481.778.67990438474.95062589638.06317925029.95188620330.28359304044.44531126.1908231.744461179.2541499.30356.12214.245355.50114.220148.077352.687142.16513.872108.60971.5018737593337.4064191818.0541180.979591.99212996667150133331142666715.69333.9233.790799201.18273.00192.80101.20247.24767.1521.831518.36130.488478145528280606100501711883316432.578292.466924.148415.289315.2211698.4413201758.5803.99158.2310.3921.0321.0467.93470.52526.2523.0606.9712.9372.2490.56314.528.7322.2723.4427.213.2916.4933.822094.2113011.102.4343.91181.92377.4084.68295.8027.01471.3816.9541.32193.33877.499.1189.05169.04149.4953.47260.249661.393490.6624176.4317144.6829110.448410.75451457.915570.3395226.951870.5586226.374410.80701460.70419.29921701.3747142.7964111.8988155.7019102.658213.25971200.1003131.7605121.20939.8226.7221.217044.210414.76957.27081.06937.91070.1OpenBenchmarking.org

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.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 760120K40K60K80K100KSE +/- 450.48, N = 3103269.831. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 7601306090120150153.16
MinAvgMaxZen 1 - EPYC 7601240674714OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 65178 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Zen 1 - EPYC 760120K40K60K80K100KSE +/- 212.46, N = 3100664.351. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000Zen 1 - EPYC 7601306090120150148.96
MinAvgMaxZen 1 - EPYC 7601258676713OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 65552 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.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760110002000300040005000SE +/- 8.66, N = 34510.71. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760160K120K180K240K300KSE +/- 361.69, N = 3293924.11. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760190180270360450432.83
MinAvgMaxZen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43688 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 76016000M12000M18000M24000M30000MSE +/- 48383276.04, N = 3270568304001. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 76018M16M24M32M40M38850033.87
MinAvgMaxZen 1 - EPYC 7601261696713OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 127913 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 76012000M4000M6000M8000M10000MSE +/- 6971539.66, N = 383161841701. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 76013M6M9M12M15M11909195.29
MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 128487 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 760120000M40000M60000M80000M100000MSE +/- 101833027.65, N = 3976450094871. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 760130M60M90M120M150M139836719.65
MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 128251 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 1 - EPYC 760120000M40000M60000M80000M100000MSE +/- 95870018.66, N = 3899484286971. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 1 - EPYC 760130M60M90M120M150M128846358.68
MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 128219 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 760110000M20000M30000M40000M50000MSE +/- 23640894.78, N = 3479200259671. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 760115M30M45M60M75M69962511.27
MinAvgMaxZen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 125800 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 76016000M12000M18000M24000M30000MSE +/- 12075597.72, N = 3303154906901. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 76019M18M27M36M45M44247682.05
MinAvgMaxZen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 125836 Joules per run.

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 1 - EPYC 760120K40K60K80K100KSE +/- 319.15, N = 388038.281. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 1 - EPYC 7601306090120150132.65
MinAvgMaxZen 1 - EPYC 7601263664709OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 64155 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.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 76018M16M24M32M40MSE +/- 524500.20, N = 338712263

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 76011020304050SE +/- 0.62, N = 346.29MAX: 12751.47
MinAvgMaxZen 1 - EPYC 7601259383699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 46569 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 76018M16M24M32M40MSE +/- 325879.11, N = 838176456

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 76014080120160200SE +/- 1.86, N = 8166.00MAX: 27445.2
MinAvgMaxZen 1 - EPYC 7601259390699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 39570 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 760112M24M36M48M60MSE +/- 175336.13, N = 353759940

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 760120406080100SE +/- 0.50, N = 385.07MAX: 11426.59
MinAvgMaxZen 1 - EPYC 7601251458697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 79308 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 760111M22M33M44M55MSE +/- 507374.51, N = 352849125

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 760160120180240300SE +/- 3.57, N = 3294.75MAX: 29204.63
MinAvgMaxZen 1 - EPYC 7601253452694OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 84459 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 760113M26M39M52M65MSE +/- 85534.45, N = 358774090

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601306090120150SE +/- 0.22, N = 3127.26MAX: 10220.3
MinAvgMaxZen 1 - EPYC 7601252497735OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 116213 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 760113M26M39M52M65MSE +/- 470631.65, N = 359444334

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 760190180270360450SE +/- 5.76, N = 3421.30MAX: 27834.33
MinAvgMaxZen 1 - EPYC 7601253496697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 117540 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 760110M20M30M40M50MSE +/- 405601.66, N = 346049589

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 7601918273645SE +/- 0.33, N = 339.40MAX: 23930.49
MinAvgMaxZen 1 - EPYC 7601252418700OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 59947 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 760110M20M30M40M50MSE +/- 330018.02, N = 345921074

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 7601306090120150SE +/- 1.86, N = 3147.89MAX: 27830.18
MinAvgMaxZen 1 - EPYC 7601252418695OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 63101 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 760112M24M36M48M60MSE +/- 197187.95, N = 356993811

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 760120406080100SE +/- 0.21, N = 382.07MAX: 23993.13
MinAvgMaxZen 1 - EPYC 7601252498718OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 120013 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 760112M24M36M48M60MSE +/- 596691.26, N = 557037441

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 760170140210280350SE +/- 4.76, N = 5318.24MAX: 28518.21
MinAvgMaxZen 1 - EPYC 7601252501692OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 107431 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 760113M26M39M52M65MSE +/- 295389.20, N = 358403756

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601306090120150SE +/- 0.61, N = 3129.77MAX: 23980.17
MinAvgMaxZen 1 - EPYC 7601252535699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 183593 Joules per run.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 760113M26M39M52M65MSE +/- 138623.83, N = 360237625

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 7601110220330440550SE +/- 3.72, N = 3488.64MAX: 28615.16
MinAvgMaxZen 1 - EPYC 7601254530790OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 179905 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBZen 1 - EPYC 76014080120160200SE +/- 0.56, N = 3199.011. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxZen 1 - EPYC 7601211.1418.3590.5OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor1603204806408001. Zen 1 - EPYC 7601: Approximate power consumption of 113214 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetZen 1 - EPYC 760150100150200250SE +/- 0.21, N = 3245.741. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxZen 1 - EPYC 7601262.0320.9559.4OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor1402804205607001. Zen 1 - EPYC 7601: Approximate power consumption of 106637 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.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 760130K60K90K120K150KSE +/- 702.01, N = 3152887
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 760160120180240300258.46
MinAvgMaxZen 1 - EPYC 7601259592701OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 87545 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.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 760120M40M60M80M100MSE +/- 795244.11, N = 3868670411. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 760130K60K90K120K150K128090.20
MinAvgMaxZen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43855 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingZen 1 - EPYC 76011.3M2.6M3.9M5.2M6.5MSE +/- 67628.42, N = 361456791. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingZen 1 - EPYC 76012K4K6K8K10K9060.48
MinAvgMaxZen 1 - EPYC 7601260678716OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43411 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 1 - EPYC 7601300K600K900K1200K1500KSE +/- 1989.50, N = 314360741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 1 - EPYC 760150010001500200025002268.93
MinAvgMaxZen 1 - EPYC 7601262633710OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 41140 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomZen 1 - EPYC 760140K80K120K160K200KSE +/- 239.59, N = 32015551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomZen 1 - EPYC 760190180270360450396.18
MinAvgMaxZen 1 - EPYC 7601261.5508.7579.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1603204806408001. Zen 1 - EPYC 7601: Approximate power consumption of 32730 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.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 760120M40M60M80M100MSE +/- 416491.60, N = 3847982041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 760130K60K90K120K150K125079.64
MinAvgMaxZen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43841 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601700K1400K2100K2800K3500KSE +/- 34108.45, N = 333718761. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601110022003300440055004962.32
MinAvgMaxZen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43488 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 1 - EPYC 7601300K600K900K1200K1500KSE +/- 4649.81, N = 315091841. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 1 - EPYC 760150010001500200025002244.55
MinAvgMaxZen 1 - EPYC 7601268672711OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43256 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomZen 1 - EPYC 760160K120K180K240K300KSE +/- 737.50, N = 32906181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Update RandomZen 1 - EPYC 7601110220330440550502.97
MinAvgMaxZen 1 - EPYC 7601264578641OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 37172 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.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 1 - EPYC 7601300K600K900K1200K1500KSE +/- 1850.76, N = 31183656.971. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 1 - EPYC 76014008001200160020001836.86
MinAvgMaxZen 1 - EPYC 7601260644714OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 45752 Joules per run.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 1 - EPYC 7601200K400K600K800K1000KSE +/- 8571.80, N = 111142464.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 1 - EPYC 76014008001200160020001771.45
MinAvgMaxZen 1 - EPYC 7601266645715OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 45790 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.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingZen 1 - EPYC 760130K60K90K120K150KSE +/- 1034.27, N = 31239341. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 1 - EPYC 760130K60K90K120K150KSE +/- 1450.84, N = 31344171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 1 - EPYC 760150100150200250214.29
MinAvgMaxZen 1 - EPYC 7601262627714OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 36800 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigZen 1 - EPYC 760120406080100SE +/- 0.88, N = 376.30
MinAvgMaxZen 1 - EPYC 7601257528717OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 47519 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigZen 1 - EPYC 7601160320480640800SE +/- 0.57, N = 3755.02
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 254.27 / Avg: 676.95 / Max: 718.771. Zen 1 - EPYC 7601: Approximate power consumption of 522829 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaZen 1 - EPYC 760190180270360450SE +/- 1.49, N = 3435.05
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 257.35 / Avg: 646.98 / Max: 716.051. Zen 1 - EPYC 7601: Approximate power consumption of 296747 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesZen 1 - EPYC 7601110220330440550SE +/- 1.95, N = 3529.72
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 254.39 / Avg: 594.06 / Max: 717.761. Zen 1 - EPYC 7601: Approximate power consumption of 333468 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileZen 1 - EPYC 760180160240320400SE +/- 0.64, N = 3387.65
MinAvgMaxZen 1 - EPYC 7601144624717OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 247661 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileZen 1 - EPYC 760180160240320400SE +/- 4.50, N = 3388.02
MinAvgMaxZen 1 - EPYC 7601225533719OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 209716 Joules per run.

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileZen 1 - EPYC 7601918273645SE +/- 0.10, N = 339.79
MinAvgMaxZen 1 - EPYC 7601255526717OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 25404 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.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 760114K28K42K56K70KSE +/- 8.17, N = 364481.71. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 76012040608010095.99
MinAvgMaxZen 1 - EPYC 7601258672716OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 68741 Joules per run.

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.98, N = 378.681. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601260670710OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 57834 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.29, N = 374.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601264652704OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 54524 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceZen 1 - EPYC 7601918273645SE +/- 0.31, N = 338.061. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601265650713OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 29680 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensZen 1 - EPYC 7601714212835SE +/- 0.41, N = 329.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601261637712OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 22923 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelZen 1 - EPYC 7601714212835SE +/- 0.13, N = 330.281. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601262636714OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 23950 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.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeZen 1 - EPYC 7601102030405044.451. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeZen 1 - EPYC 7601306090120150126.191. (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
MinAvgMaxZen 1 - EPYC 7601262657703OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeZen 1 - EPYC 760150100150200250231.741. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeZen 1 - EPYC 7601300600900120015001179.251. (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
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 262.83 / Avg: 640.83 / Max: 704.84

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MZen 1 - EPYC 7601110220330440550SE +/- 0.62, N = 3499.30
OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 266.19 / Avg: 628.45 / Max: 689.131. Zen 1 - EPYC 7601: Approximate power consumption of 345229 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.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 760180160240320400SE +/- 0.94, N = 3356.121. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 760148121620SE +/- 0.04, N = 314.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 76010.0050.010.0150.020.0250.022
MinAvgMaxZen 1 - EPYC 7601266655707OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 39758 Joules per run.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 760180160240320400SE +/- 0.27, N = 3355.501. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 760148121620SE +/- 0.01, N = 314.221. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 76010.00470.00940.01410.01880.02350.021
MinAvgMaxZen 1 - EPYC 7601263678697OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 247452 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.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Zen 1 - EPYC 7601306090120150SE +/- 1.77, N = 4148.081. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxZen 1 - EPYC 7601265.0522.7590.2OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor1603204806408001. Zen 1 - EPYC 7601: Approximate power consumption of 81018 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Zen 1 - EPYC 760180160240320400SE +/- 6.02, N = 6352.691. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorZen 1 - EPYC 7601100200300400500Min: 247.92 / Avg: 525.08 / Max: 591.621. Zen 1 - EPYC 7601: Approximate power consumption of 188855 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeZen 1 - EPYC 7601306090120150SE +/- 0.91, N = 3142.171. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxZen 1 - EPYC 7601258667715OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 98222 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.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 760148121620SE +/- 0.05, N = 313.871. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 76010.00450.0090.01350.0180.02250.02
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 262.81 / Avg: 690.49 / Max: 703.091. Zen 1 - EPYC 7601: Approximate power consumption of 432248 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortZen 1 - EPYC 760120406080100SE +/- 1.39, N = 3108.601. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxZen 1 - EPYC 7601267587649OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 67158 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Zen 1 - EPYC 76012004006008001000SE +/- 1.74, N = 3971.501. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorZen 1 - EPYC 7601110220330440550Min: 263.25 / Avg: 593.38 / Max: 633.31. Zen 1 - EPYC 7601: Approximate power consumption of 576369 Joules per run.

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.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6Zen 1 - EPYC 760140M80M120M160M200MSE +/- 1601742.67, N = 31873759331. (CXX) g++ options: -O3 -fopenmp -ldl
OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6Zen 1 - EPYC 760160K120K180K240K300K291422.10
MinAvgMaxZen 1 - EPYC 7601264643709OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 30648 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionZen 1 - EPYC 7601918273645SE +/- 0.22, N = 337.411. (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
MinAvgMaxZen 1 - EPYC 7601264578640OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 24657 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dZen 1 - EPYC 76012004006008001000SE +/- 0.24, N = 3818.051. (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
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 264.43 / Avg: 601.98 / Max: 679.051. Zen 1 - EPYC 7601: Approximate power consumption of 495227 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.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsZen 1 - EPYC 76010.22040.44080.66120.88161.102SE +/- 0.00385, N = 30.97959
MinAvgMaxZen 1 - EPYC 7601265665714OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 36140 Joules per run.

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.44820.89641.34461.79282.241SE +/- 0.017, N = 31.9921. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.00070.00140.00210.00280.00350.003
MinAvgMaxZen 1 - EPYC 7601263670709OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 68069 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.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 76013M6M9M12M15MSE +/- 66916.20, N = 3129966671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 76015K10K15K20K25K22248.55
MinAvgMaxZen 1 - EPYC 7601243584648OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 54132 Joules per run.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 76013M6M9M12M15MSE +/- 37118.43, N = 3150133331. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 76016K12K18K24K30K27116.87
MinAvgMaxZen 1 - EPYC 7601255.2553.7594.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor1603204806408001. Zen 1 - EPYC 7601: Approximate power consumption of 175323 Joules per run.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 76012M4M6M8M10MSE +/- 16666.67, N = 3114266671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 76014K8K12K16K20K18307.66
OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 258.88 / Avg: 624.15 / Max: 662.041. Zen 1 - EPYC 7601: Approximate power consumption of 279826 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MZen 1 - EPYC 760148121620SE +/- 0.12, N = 315.69
MinAvgMaxZen 1 - EPYC 7601262543712OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 12297 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BZen 1 - EPYC 7601816243240SE +/- 0.09, N = 333.92
MinAvgMaxZen 1 - EPYC 7601263602718OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 25286 Joules per run.

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 76010.85291.70582.55873.41164.2645SE +/- 0.057778, N = 153.7907991. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006
MinAvgMaxZen 1 - EPYC 7601264618679OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 40324 Joules per run.

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisZen 1 - EPYC 76014080120160200SE +/- 4.88, N = 12201.181. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 255.46 / Avg: 673.45 / Max: 711.351. Zen 1 - EPYC 7601: Approximate power consumption of 137721 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyZen 1 - EPYC 76011632486480SE +/- 0.35, N = 373.00
MinAvgMaxZen 1 - EPYC 7601261677715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 52828 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyZen 1 - EPYC 76014080120160200SE +/- 1.40, N = 3192.80
MinAvgMaxZen 1 - EPYC 7601263696717OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 136962 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyZen 1 - EPYC 760120406080100SE +/- 0.13, N = 3101.20
MinAvgMaxZen 1 - EPYC 7601265681714OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 72442 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyZen 1 - EPYC 760150100150200250SE +/- 0.13, N = 3247.24
MinAvgMaxZen 1 - EPYC 7601264698715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 175722 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyZen 1 - EPYC 7601170340510680850SE +/- 0.52, N = 3767.15
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 263.91 / Avg: 701.51 / Max: 715.331. Zen 1 - EPYC 7601: Approximate power consumption of 542503 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.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 1 - EPYC 7601510152025SE +/- 0.05, N = 321.83MIN: 21.6 / MAX: 22.16
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 1 - EPYC 76010.00770.01540.02310.03080.03850.034
MinAvgMaxZen 1 - EPYC 7601266649712OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 25525 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 7601510152025SE +/- 0.09, N = 318.36MIN: 18.01 / MAX: 18.84
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 76010.00630.01260.01890.02520.03150.028
MinAvgMaxZen 1 - EPYC 7601265660715OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 29928 Joules per run.

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 1 - EPYC 76010.1080.2160.3240.4320.54SE +/- 0.00, N = 30.48
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 1 - EPYC 76010.00020.00040.00060.00080.0010.001
MinAvgMaxZen 1 - EPYC 7601263656700OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 44416 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.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 76012K4K6K8K10KSE +/- 16.50, N = 38478
MinAvgMaxZen 1 - EPYC 7601263579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 56975 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 760130K60K90K120K150KSE +/- 81.84, N = 3145528
MinAvgMaxZen 1 - EPYC 7601264631714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 104388 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 760160K120K180K240K300KSE +/- 353.76, N = 3280606
MinAvgMaxZen 1 - EPYC 7601263664715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 199147 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 76012K4K6K8K10KSE +/- 34.23, N = 310050
MinAvgMaxZen 1 - EPYC 7601146579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 58671 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 760140K80K120K160K200KSE +/- 133.22, N = 3171188
MinAvgMaxZen 1 - EPYC 7601262638714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 122336 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 760170K140K210K280K350KSE +/- 188.22, N = 3331643
MinAvgMaxZen 1 - EPYC 7601261670715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 234636 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.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 1 - EPYC 76010.58011.16021.74032.32042.9005SE +/- 0.00282, N = 32.57829
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 1 - EPYC 76010.00090.00180.00270.00360.00450.004
MinAvgMaxZen 1 - EPYC 7601163621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 36637 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 1 - EPYC 76010.55511.11021.66532.22042.7755SE +/- 0.01722, N = 32.46692
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 1 - EPYC 76010.00090.00180.00270.00360.00450.004
MinAvgMaxZen 1 - EPYC 7601264621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 36002 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 1 - EPYC 76010.93341.86682.80023.73364.667SE +/- 0.01550, N = 34.14841
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 1 - EPYC 76010.00160.00320.00480.00640.0080.007
MinAvgMaxZen 1 - EPYC 7601263635708OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 52690 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 1 - EPYC 76011.19012.38023.57034.76045.9505SE +/- 0.01171, N = 35.28931
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 1 - EPYC 76010.00180.00360.00540.00720.0090.008
MinAvgMaxZen 1 - EPYC 7601265681703OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 86016 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 1 - EPYC 76011.17482.34963.52444.69925.874SE +/- 0.00822, N = 35.22116
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 1 - EPYC 76010.00180.00360.00540.00720.0090.008
MinAvgMaxZen 1 - EPYC 7601263623704OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 112062 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 1 - EPYC 760120406080100SE +/- 0.08, N = 398.44
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 1 - EPYC 76010.03650.0730.10950.1460.18250.162
MinAvgMaxZen 1 - EPYC 7601262607699OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 94538 Joules per run.

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.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 76014K8K12K16K20KSE +/- 15.72, N = 320175
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 760181624324034.52
MinAvgMaxZen 1 - EPYC 7601259584716OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 51240 Joules per run.

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 7601246810SE +/- 0.050, N = 38.580
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 76010.00290.00580.00870.01160.01450.013
MinAvgMaxZen 1 - EPYC 7601263666719OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 44649 Joules per run.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 76010.8981.7962.6943.5924.49SE +/- 0.022, N = 33.991
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006
MinAvgMaxZen 1 - EPYC 7601263662717OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 45040 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.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 76011326395265SE +/- 0.07, N = 358.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 76010.03920.07840.11760.15680.1960.174
MinAvgMaxZen 1 - EPYC 7601261.5334.7472.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1202403604806001. Zen 1 - EPYC 7601: Approximate power consumption of 40607 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 76013691215SE +/- 0.00, N = 310.391. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 76010.0070.0140.0210.0280.0350.031
MinAvgMaxZen 1 - EPYC 7601251.3338.9555.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1402804205607001. Zen 1 - EPYC 7601: Approximate power consumption of 116824 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 1 - EPYC 7601510152025SE +/- 0.02, N = 321.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 1 - EPYC 76010.01350.0270.04050.0540.06750.06
MinAvgMaxZen 1 - EPYC 7601178.8350.2501.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1302603905206501. Zen 1 - EPYC 7601: Approximate power consumption of 138115 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 1 - EPYC 7601510152025SE +/- 0.00, N = 321.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 1 - EPYC 76010.01350.0270.04050.0540.06750.06
MinAvgMaxZen 1 - EPYC 7601251.1348.9503.6OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1302603905206501. Zen 1 - EPYC 7601: Approximate power consumption of 137486 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.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 1 - EPYC 76011530456075SE +/- 2.72, N = 1267.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 1 - EPYC 76010.03940.07880.11820.15760.1970.175
MinAvgMaxZen 1 - EPYC 7601250387643OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 8103 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 1 - EPYC 76011632486480SE +/- 0.80, N = 1570.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 1 - EPYC 76010.03960.07920.11880.15840.1980.176
MinAvgMaxZen 1 - EPYC 7601144400660OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 8380 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 1 - EPYC 7601612182430SE +/- 0.17, N = 326.251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 1 - EPYC 76010.01170.02340.03510.04680.05850.052
MinAvgMaxZen 1 - EPYC 7601262502689OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 17057 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 1 - EPYC 76010.68851.3772.06552.7543.4425SE +/- 0.011, N = 33.0601. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006
MinAvgMaxZen 1 - EPYC 7601254498687OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 32543 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.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 7601246810SE +/- 0.080, N = 36.971
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 76010.00450.0090.01350.0180.02250.02
MinAvgMaxZen 1 - EPYC 7601252.3344.6364.8OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1002003004005001. Zen 1 - EPYC 7601: Approximate power consumption of 31125 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 76010.66081.32161.98242.64323.304SE +/- 0.003, N = 32.937
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 76010.00180.00360.00540.00720.0090.008
MinAvgMaxZen 1 - EPYC 7601258.0367.6413.4OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1102203304405501. Zen 1 - EPYC 7601: Approximate power consumption of 26469 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 76010.5061.0121.5182.0242.53SE +/- 0.014, N = 32.249
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 76010.00140.00280.00420.00560.0070.006
MinAvgMaxZen 1 - EPYC 7601265.3372.5499.9OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1302603905206501. Zen 1 - EPYC 7601: Approximate power consumption of 34767 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 76010.12670.25340.38010.50680.6335SE +/- 0.001, N = 30.563
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 76010.00020.00040.00060.00080.0010.001
MinAvgMaxZen 1 - EPYC 7601220.0426.6553.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1402804205607001. Zen 1 - EPYC 7601: Approximate power consumption of 62428 Joules per run.

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.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 760148121620SE +/- 0.17, N = 414.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 76010.00630.01260.01890.02520.03150.028
MinAvgMaxZen 1 - EPYC 7601263.4516.7606.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor1603204806408001. Zen 1 - EPYC 7601: Approximate power consumption of 23767 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.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 1 - EPYC 7601246810SE +/- 0.04, N = 38.73
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 1 - EPYC 76010.00290.00580.00870.01160.01450.013
MinAvgMaxZen 1 - EPYC 7601257656705OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 47695 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 1 - EPYC 7601510152025SE +/- 0.08, N = 322.27
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 1 - EPYC 76010.00810.01620.02430.03240.04050.036
MinAvgMaxZen 1 - EPYC 7601260613686OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 19192 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 1 - EPYC 7601612182430SE +/- 0.01, N = 323.44
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 1 - EPYC 76010.00860.01720.02580.03440.0430.038
MinAvgMaxZen 1 - EPYC 7601264618689OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 18330 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 1 - EPYC 7601612182430SE +/- 0.04, N = 327.21
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 1 - EPYC 76010.01040.02080.03120.04160.0520.046
MinAvgMaxZen 1 - EPYC 7601264589673OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 15699 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.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastZen 1 - EPYC 76010.74051.4812.22152.9623.7025SE +/- 0.034, N = 33.2911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006
MinAvgMaxZen 1 - EPYC 7601159513706OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 96618 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 1 - EPYC 7601246810SE +/- 0.018, N = 36.4931. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 1 - EPYC 76010.00290.00580.00870.01160.01450.013
MinAvgMaxZen 1 - EPYC 7601261519649OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 51547 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.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 76010.85951.7192.57853.4384.2975SE +/- 0.00, N = 33.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601400800120016002000SE +/- 0.06, N = 32094.21MIN: 2092.79 / MAX: 2112.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601257592660OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 42836 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 1 - EPYC 76013K6K9K12K15KSE +/- 3.60, N = 313011.101. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 1 - EPYC 76010.54681.09361.64042.18722.734SE +/- 0.00, N = 32.43MIN: 2.39 / MAX: 10.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601259630678OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 40747 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 1 - EPYC 76011020304050SE +/- 0.09, N = 343.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 1 - EPYC 76014080120160200SE +/- 0.36, N = 3181.92MIN: 171.42 / MAX: 202.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601260668708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 44061 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 1 - EPYC 760180160240320400SE +/- 0.02, N = 3377.401. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 1 - EPYC 760120406080100SE +/- 0.00, N = 384.68MIN: 84.05 / MAX: 93.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601262601630OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 39055 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 1 - EPYC 760160120180240300SE +/- 0.35, N = 3295.801. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601612182430SE +/- 0.03, N = 327.01MIN: 26.86 / MAX: 38.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601261616662OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 39813 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 1 - EPYC 7601100200300400500SE +/- 1.63, N = 3471.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 1 - EPYC 760148121620SE +/- 0.06, N = 316.95MIN: 16.19 / MAX: 27.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601260660708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43361 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 1 - EPYC 7601918273645SE +/- 0.10, N = 341.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 1 - EPYC 76014080120160200SE +/- 0.49, N = 3193.33MIN: 178.13 / MAX: 252.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601261665708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43870 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 1 - EPYC 76012004006008001000SE +/- 0.26, N = 3877.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 1 - EPYC 76013691215SE +/- 0.00, N = 39.1MIN: 9.04 / MAX: 17.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601262604653OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 39243 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 1 - EPYC 76014080120160200SE +/- 0.70, N = 3189.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 1 - EPYC 76014080120160200SE +/- 0.65, N = 3169.04MIN: 141.74 / MAX: 192.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601260670709OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 43748 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 1 - EPYC 7601306090120150SE +/- 0.14, N = 3149.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 1 - EPYC 76011224364860SE +/- 0.05, N = 353.47MIN: 52.68 / MAX: 66.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 1 - EPYC 7601262614672OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 40309 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.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760160120180240300SE +/- 1.56, N = 3260.25

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76011428425670SE +/- 0.36, N = 361.39
MinAvgMaxZen 1 - EPYC 7601260558711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 33136 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760120406080100SE +/- 0.85, N = 690.66

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76014080120160200SE +/- 1.64, N = 6176.43
MinAvgMaxZen 1 - EPYC 7601261604711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 28772 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 0.49, N = 3144.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760120406080100SE +/- 0.40, N = 3110.45
MinAvgMaxZen 1 - EPYC 7601260637710OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 27585 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76013691215SE +/- 0.04, N = 310.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760130060090012001500SE +/- 5.55, N = 31457.92
MinAvgMaxZen 1 - EPYC 7601262572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 32221 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76011632486480SE +/- 0.21, N = 370.34

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760150100150200250SE +/- 0.66, N = 3226.95
MinAvgMaxZen 1 - EPYC 7601260632709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 27814 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76011632486480SE +/- 0.11, N = 370.56

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760150100150200250SE +/- 0.35, N = 3226.37
MinAvgMaxZen 1 - EPYC 7601263635709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 27537 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76013691215SE +/- 0.07, N = 310.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760130060090012001500SE +/- 2.60, N = 31460.70
MinAvgMaxZen 1 - EPYC 7601261572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 32216 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76013691215SE +/- 0.0191, N = 39.2992

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601400800120016002000SE +/- 3.29, N = 31701.37
MinAvgMaxZen 1 - EPYC 7601264582695OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 28322 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 1.66, N = 3142.80

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 1.29, N = 3111.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 0.49, N = 3155.70

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760120406080100SE +/- 0.30, N = 3102.66
MinAvgMaxZen 1 - EPYC 7601259630707OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 27943 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 76013691215SE +/- 0.06, N = 313.26

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 760130060090012001500SE +/- 3.61, N = 31200.10
MinAvgMaxZen 1 - EPYC 7601268452713OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 47168 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 1.27, N = 3131.76

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601306090120150SE +/- 1.16, N = 3121.21
MinAvgMaxZen 1 - EPYC 7601265568712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 33693 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.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 1 - EPYC 76013691215SE +/- 0.04, N = 39.82
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 1 - EPYC 76010.00430.00860.01290.01720.02150.019
MinAvgMaxZen 1 - EPYC 7601262.6524.0574.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1402804205607001. Zen 1 - EPYC 7601: Approximate power consumption of 100437 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 1 - EPYC 7601612182430SE +/- 0.12, N = 326.72MIN: 15.15 / MAX: 28.15
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 1 - EPYC 76010.00970.01940.02910.03880.04850.043
MinAvgMaxZen 1 - EPYC 7601263620701OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 31624 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 1 - EPYC 7601510152025SE +/- 0.22, N = 321.21MIN: 13.9 / MAX: 22.04
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 1 - EPYC 76010.00720.01440.02160.02880.0360.032
MinAvgMaxZen 1 - EPYC 7601261653699OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 67923 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.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 58.63, N = 37044.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 7601369121510.86
MinAvgMaxZen 1 - EPYC 7601264649683OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 97284 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 76012K4K6K8K10KSE +/- 27.32, N = 310414.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 76014812162015.73
MinAvgMaxZen 1 - EPYC 7601264662706OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 69064 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 75.94, N = 126957.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 1 - EPYC 7601369121510.81
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 227.27 / Avg: 643.82 / Max: 681.921. Zen 1 - EPYC 7601: Approximate power consumption of 97753 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 21.41, N = 37081.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 1 - EPYC 7601369121510.98
MinAvgMaxZen 1 - EPYC 7601266645679OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 96304 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 60.77, N = 126937.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 1 - EPYC 7601369121510.77
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 266.23 / Avg: 644.06 / Max: 679.561. Zen 1 - EPYC 7601: Approximate power consumption of 98059 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 1 - EPYC 76012004006008001000SE +/- 6.67, N = 31070.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 1 - EPYC 76010.43070.86141.29211.72282.15351.914
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601100200300400500Min: 265.39 / Avg: 559.12 / Max: 586.021. Zen 1 - EPYC 7601: Approximate power consumption of 523150 Joules per run.

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsZen 1 - EPYC 760150010001500200025002562.10

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringZen 1 - EPYC 7601140280420560700Min: 134.19 / Avg: 579.81 / Max: 789.58

187 Results Shown

nginx:
  500
  1000
OpenSSL:
  RSA4096:
    sign/s
    verify/s
  SHA256:
    byte/s
  SHA512:
    byte/s
  AES-128-GCM:
    byte/s
  AES-256-GCM:
    byte/s
  ChaCha20:
    byte/s
  ChaCha20-Poly1305:
    byte/s
Apache HTTP Server
Apache IoTDB:
  500 - 100 - 200 - 100:
    point/sec
    Average Latency
  500 - 100 - 200 - 400:
    point/sec
    Average Latency
  500 - 100 - 500 - 100:
    point/sec
    Average Latency
  500 - 100 - 500 - 400:
    point/sec
    Average Latency
  500 - 100 - 800 - 100:
    point/sec
    Average Latency
  500 - 100 - 800 - 400:
    point/sec
    Average Latency
  800 - 100 - 200 - 100:
    point/sec
    Average Latency
  800 - 100 - 200 - 400:
    point/sec
    Average Latency
  800 - 100 - 500 - 100:
    point/sec
    Average Latency
  800 - 100 - 500 - 400:
    point/sec
    Average Latency
  800 - 100 - 800 - 100:
    point/sec
    Average Latency
  800 - 100 - 800 - 400:
    point/sec
    Average Latency
DuckDB:
  IMDB
  TPC-H Parquet
Apache Cassandra
Speedb:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Redis 7.0.12 + memtier_benchmark:
  Redis - 100 - 1:10
  Redis - 100 - 1:5
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Node.js Compilation
Timed Gem5 Compilation
Timed FFmpeg Compilation
QuantLib
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
  Homogeneous Halfspace
  Mount St. Helens
  Tomographic Model
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400
GPAW
LAMMPS Molecular Dynamics Simulator
CloverLeaf:
  clover_bm64_short
  clover_bm16
Kripke
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
NAMD
GROMACS
Quicksilver:
  CORAL2 P1
  CORAL2 P2
  CTS2
Y-Cruncher:
  500M
  1B
ACES DGEMM
Timed MrBayes Analysis
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Crown
Intel Open Image Denoise
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
Chaos Group V-RAY
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
FFmpeg:
  libx265 - Live
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 4K
rav1e:
  10
  6
  5
  1
x265
uvg266:
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
TensorFlow
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 256 - ResNet-50
Xmrig:
  Monero - 1M
  Wownero - 1M
  CryptoNight-Femto UPX2 - 1M
  CryptoNight-Heavy - 1M
  KawPow - 1M
  GhostRider - 1M
Meta Performance Per Watts:
  Performance Per Watts
  Phoronix Test Suite System Monitoring

Zen 1 - EPYC 7601

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, 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: madvise
Compiler 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 -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security 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 6 January 2024 22:47 by user phoronix.