7713p smoke

AMD EPYC 7713P 64-Core testing with a Supermicro H12SSL-i v1.02 (2.4 BIOS) and astdrmfb on AlmaLinux 9.1 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 2302281-NE-7713PSMOK35
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AV1 2 Tests
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AMD EPYC 7713P 64-Core
February 28 2023
  2 Hours, 27 Minutes
7713P
February 28 2023
  2 Hours, 26 Minutes
EPYC
February 28 2023
  2 Hours, 26 Minutes
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AMD EPYC 7713P 64-Core

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Python Notes: Python 3.9.14
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

7713P

EPYC

Processor: AMD EPYC 7713P 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb

OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1024x768

7713p smokeOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7713P 64-Core @ 2.00GHz (64 Cores / 128 Threads)Supermicro H12SSL-i v1.02 (2.4 BIOS)8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07astdrmfbAlmaLinux 9.15.14.0-162.12.1.el9_1.x86_64 (x86_64)GCC 11.3.1 20220421ext41024x768ProcessorMotherboardMemoryDiskGraphicsOSKernelCompilerFile-SystemScreen Resolution7713p Smoke BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - Python 3.9.14- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7713P 64-Core7713PEPYCResult OverviewPhoronix Test Suite100%103%105%108%oneDNNCockroachDBKvazaarClickHouseTimed Godot Game Engine CompilationSVT-AV1RocksDBTimed PHP CompilationNAMDTimed Linux Kernel CompilationOpenVKLuvg266EmbreeGROMACSdav1dVVenCOpenVINOTimed Gem5 CompilationVP9 libvpx EncodingTimed Node.js CompilationBlender

7713p smokeonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcockroach: KV, 95% Reads - 512cockroach: KV, 60% Reads - 1024cockroach: KV, 60% Reads - 256onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcockroach: KV, 50% Reads - 256kvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Ultra Fastcockroach: KV, 60% Reads - 128kvazaar: Bosphorus 1080p - Super Fastonednn: Recurrent Neural Network Training - f32 - CPUcockroach: KV, 50% Reads - 1024onednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUsvt-av1: Preset 8 - Bosphorus 1080pcockroach: KV, 10% Reads - 512cockroach: KV, 10% Reads - 128kvazaar: Bosphorus 1080p - Very Fastcockroach: KV, 60% Reads - 512embree: Pathtracer - Crownrocksdb: Read While Writingcockroach: KV, 95% Reads - 1024clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheuvg266: Bosphorus 4K - Super Fastonednn: Recurrent Neural Network Inference - f32 - CPUuvg266: Bosphorus 4K - Ultra Fastcockroach: KV, 50% Reads - 128cockroach: KV, 10% Reads - 1024onednn: Deconvolution Batch shapes_1d - f32 - CPUsvt-av1: Preset 13 - Bosphorus 1080ponednn: IP Shapes 3D - u8s8f32 - CPUuvg266: Bosphorus 1080p - Ultra Fastsvt-av1: Preset 13 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pclickhouse: 100M Rows Hits Dataset, Second Runsvt-av1: Preset 12 - Bosphorus 4Kkvazaar: Bosphorus 4K - Very Fastcockroach: KV, 95% Reads - 256kvazaar: Bosphorus 1080p - Mediumcockroach: KV, 95% Reads - 128vvenc: Bosphorus 4K - Fasterkvazaar: Bosphorus 1080p - Slowvpxenc: Speed 5 - Bosphorus 4Krocksdb: Rand Readrocksdb: Rand Fill Syncbuild-godot: Time To Compileonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUclickhouse: 100M Rows Hits Dataset, Third Runonednn: Recurrent Neural Network Training - u8s8f32 - CPUuvg266: Bosphorus 1080p - Slowsvt-av1: Preset 12 - Bosphorus 1080puvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 4K - Very Fastcockroach: KV, 50% Reads - 512kvazaar: Bosphorus 4K - Slowonednn: Deconvolution Batch shapes_3d - f32 - CPUuvg266: Bosphorus 1080p - Super Fastcockroach: MoVR - 512svt-av1: Preset 4 - Bosphorus 4Kdav1d: Summer Nature 1080psvt-av1: Preset 8 - Bosphorus 4Kcockroach: KV, 10% Reads - 256openvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUembree: Pathtracer ISPC - Crownrocksdb: Rand Fillbuild-php: Time To Compilerocksdb: Seq Fillsvt-av1: Preset 4 - Bosphorus 1080pnamd: ATPase Simulation - 327,506 Atomsbuild-linux-kernel: defconfigonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUblender: Fishy Cat - CPU-Onlyopenvkl: vklBenchmark Scalaronednn: Convolution Batch Shapes Auto - f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvkl: vklBenchmark ISPCdav1d: Chimera 1080p 10-bitcockroach: MoVR - 128embree: Pathtracer ISPC - Asian Dragonvvenc: Bosphorus 1080p - Fasteruvg266: Bosphorus 4K - Mediumvpxenc: Speed 5 - Bosphorus 1080popenvino: Face Detection FP16 - CPUgromacs: MPI CPU - water_GMX50_barecockroach: MoVR - 256openvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUdav1d: Chimera 1080popenvino: Person Detection FP32 - CPUvvenc: Bosphorus 1080p - Fastuvg266: Bosphorus 1080p - Very Fastblender: Pabellon Barcelona - CPU-Onlyuvg266: Bosphorus 4K - Slowopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Detection FP16 - CPUrocksdb: Update Randrocksdb: Read Rand Write Randkvazaar: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvpxenc: Speed 0 - Bosphorus 4Kopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUdav1d: Summer Nature 4Kblender: BMW27 - CPU-Onlyopenvino: Face Detection FP16-INT8 - CPUcockroach: MoVR - 1024blender: Barbershop - CPU-Onlyonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUbuild-nodejs: Time To Compileopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUblender: Classroom - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUbuild-gem5: Time To Compileopenvino: Age Gender Recognition Retail 0013 FP16 - CPUembree: Pathtracer - Asian Dragonopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUbuild-linux-kernel: allmodconfigAMD EPYC 7713P 64-Core7713PEPYC11.3393.270434.61081.863441166.56103841.895477101949.32572.5333304.7987036.852.65249.9559.1498198.8239.882785.7388005.33.727381162.04144.65968979.567778.9205.7593674.252.7923821791598421.5367.00451167.9647.0990076.468656.16.82011556.660.710391193.18204.1713.13381.97236.57941.91123720.990.77122564.49.04588.915.424681679726147750.4581.60913377.742772.4255.86593.661.2242.6390135.718.563.20738179.1913.63.395750.7467.09470765.8943.0233.9153.200343273941.2814300887.9440.4558535.1221.3647638.863330.9230391.73116.43274.35527488.92916.960.668822.54315.7227.7210.275.161916.56.936.98523.954533.249.585168.1395.3913.951543.4120.714516.48416178265462219.034.4646.9218.41737.64303.3730.311278.47917.6298.270.753965167.3930.861036.279.433085.6724.8185.72733486.4263.503525.782480.881.99.958381.485486.908841.455321168.99101796.985079.392257.22813.7634748.2791639.248.95247.7256.9194547.8237.232822.985258.23.545281133.9142.1571178.865398.3207.0895736.554.39078211489100094357.2445.651168.5148.2588925.967091.36.76671545.0420.725188189.79203.68412.88377.94236.39142.03122074.292.14121765.89.1589.5815.624360082125811151.0881.60864377.132740.0456.1598.89261.942.8690280.318.693.19601180.76913.33.426750.5267.61570530.9943.7833.8853.006543257241.5724328377.9720.4588335.1191.373538.653320.9176111.74115.96275.44525490.08919.160.389122.58515.727.6210.325.153919.76.936.95522.334534.229.548168.4895.75141546.8320.664515.84416457264602219.014.4726.9418.451733.2303.2330.261279.86915.6298.610.752407167.71830.911034.6379.453081.4724.83185.6533515.9663.463425.792480.211.94.744882.105533.328481.717621005.87118047.492578.297302.52719.236372.7394363.349.16266.1455.3591970.3225.642656.6990059.73.561121181.47139.33571565.966364.9200.0896746.854.47888450685101165.5364.5544.491197.5248.0388016.167283.26.91927545.2020.716229193.69200.26112.99375.10232.56241.38121861.891.16123537.79.16988.3715.6124650563625914150.9941.62849373.182756.1755.46600.2761.7142.4189336.918.53.17637180921.73.421744.8867.5170225.2936.734.1352.820543562441.3784329897.9960.4564035.3451.3683438.623310.9226741.74116.63273.86524487.36914.160.34422.4715.6427.5810.325.137920.76.96.96521.824551.699.554167.8495.6513.971541.5620.734530.8415087265111818.974.4776.9218.421735.89302.6330.331281.41917.2297.970.752904167.50230.881035.5979.333084.7324.83185.52933481.8863.507925.782480.741.9OpenBenchmarking.org

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC369121511.339009.958384.74488MIN: 10.58MIN: 8.43MIN: 3.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.73581.47162.20742.94323.6793.270431.485482.10553MIN: 1.94MIN: 1.15MIN: 1.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC2468104.610806.908843.32848MIN: 4.33MIN: 6.04MIN: 3.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.41930.83861.25791.67722.09651.863441.455321.71762MIN: 1.5MIN: 1.25MIN: 1.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC300600900120015001166.561168.991005.87MIN: 1122.91MIN: 1115.05MIN: 969.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512AMD EPYC 7713P 64-Core7713PEPYC30K60K90K120K150K103841.8101796.9118047.4

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K95477.085079.392578.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K101949.392257.297302.5

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC60012001800240030002572.532813.762719.20MIN: 2485.61MIN: 2717.51MIN: 2629.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC8K16K24K32K40K33304.7934748.2736372.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K87036.891639.294363.3

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastAMD EPYC 7713P 64-Core7713PEPYC122436486052.6548.9549.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastAMD EPYC 7713P 64-Core7713PEPYC60120180240300249.95247.72266.141. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastAMD EPYC 7713P 64-Core7713PEPYC132639526559.1456.9155.351. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K98198.894547.891970.3

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastAMD EPYC 7713P 64-Core7713PEPYC50100150200250239.88237.23225.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC60012001800240030002785.732822.902656.69MIN: 2693.48MIN: 2722.82MIN: 2576.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K88005.385258.290059.7

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.83871.67742.51613.35484.19353.727383.545283.56112MIN: 3.42MIN: 3.35MIN: 3.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC300600900120015001162.041133.901181.47MIN: 1112.33MIN: 1086.27MIN: 1132.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC306090120150144.66142.15139.341. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512AMD EPYC 7713P 64-Core7713PEPYC15K30K45K60K75K68979.571178.871565.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128AMD EPYC 7713P 64-Core7713PEPYC15K30K45K60K75K67778.965398.366364.9

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastAMD EPYC 7713P 64-Core7713PEPYC50100150200250205.75207.08200.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K93674.295736.596746.8

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 4.0Binary: Pathtracer - Model: CrownAMD EPYC 7713P 64-Core7713PEPYC122436486052.7954.3954.48MIN: 51.92 / MAX: 55.28MIN: 52.07 / MAX: 59.3MIN: 51.94 / MAX: 58.88

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 7.9.2Test: Read While WritingAMD EPYC 7713P 64-Core7713PEPYC2M4M6M8M10M8217915821148984506851. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K98421.5100094.0101165.5

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheAMD EPYC 7713P 64-Core7713PEPYC80160240320400367.00357.24364.55MIN: 32.26 / MAX: 5000MIN: 32.07 / MAX: 4615.38MIN: 31.65 / MAX: 4615.38

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: Super FastAMD EPYC 7713P 64-Core7713PEPYC102030405045.0045.6544.49

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC300600900120015001167.961168.511197.52MIN: 1117.9MIN: 1120.55MIN: 1143.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: Ultra FastAMD EPYC 7713P 64-Core7713PEPYC112233445547.0948.2548.03

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K90076.488925.988016.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024AMD EPYC 7713P 64-Core7713PEPYC15K30K45K60K75K68656.167091.367283.2

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC2468106.820116.766716.91927MIN: 5.98MIN: 5.9MIN: 6.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC120240360480600556.66545.04545.201. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.16320.32640.48960.65280.8160.7103910.7251880.716229MIN: 0.6MIN: 0.59MIN: 0.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 1080p - Video Preset: Ultra FastAMD EPYC 7713P 64-Core7713PEPYC4080120160200193.18189.79193.69

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 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC4080120160200204.17203.68200.261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC369121513.1312.8812.991. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunAMD EPYC 7713P 64-Core7713PEPYC80160240320400381.97377.94375.10MIN: 32.72 / MAX: 5000MIN: 32.36 / MAX: 5454.55MIN: 32.7 / MAX: 5454.55

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 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC50100150200250236.58236.39232.561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastAMD EPYC 7713P 64-Core7713PEPYC102030405041.9142.0341.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256AMD EPYC 7713P 64-Core7713PEPYC30K60K90K120K150K123720.9122074.2121861.8

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumAMD EPYC 7713P 64-Core7713PEPYC2040608010090.7792.1491.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128AMD EPYC 7713P 64-Core7713PEPYC30K60K90K120K150K122564.4121765.8123537.7

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 1.7Video Input: Bosphorus 4K - Video Preset: FasterAMD EPYC 7713P 64-Core7713PEPYC36912159.0459.1509.1691. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowAMD EPYC 7713P 64-Core7713PEPYC2040608010088.9089.5888.371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC4812162015.4015.6015.611. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 7.9.2Test: Random ReadAMD EPYC 7713P 64-Core7713PEPYC50M100M150M200M250M2468167972436008212465056361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill SyncAMD EPYC 7713P 64-Core7713PEPYC60K120K180K240K300K2614772581112591411. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileAMD EPYC 7713P 64-Core7713PEPYC122436486050.4651.0950.99

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.36640.73281.09921.46561.8321.609131.608641.62849MIN: 1.55MIN: 1.55MIN: 1.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunAMD EPYC 7713P 64-Core7713PEPYC80160240320400377.74377.13373.18MIN: 32.54 / MAX: 5454.55MIN: 32.03 / MAX: 5000MIN: 33.15 / MAX: 5454.55

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC60012001800240030002772.422740.042756.17MIN: 2682.92MIN: 2648.01MIN: 2657.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 1080p - Video Preset: SlowAMD EPYC 7713P 64-Core7713PEPYC132639526555.8656.1055.46

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 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC130260390520650593.60598.89600.271. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 1080p - Video Preset: MediumAMD EPYC 7713P 64-Core7713PEPYC142842567061.2261.9061.71

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastAMD EPYC 7713P 64-Core7713PEPYC102030405042.6342.8642.41

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512AMD EPYC 7713P 64-Core7713PEPYC20K40K60K80K100K90135.790280.389336.9

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowAMD EPYC 7713P 64-Core7713PEPYC51015202518.5618.6918.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.72171.44342.16512.88683.60853.207383.196013.17637MIN: 2.01MIN: 1.96MIN: 1.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 1080p - Video Preset: Super FastAMD EPYC 7713P 64-Core7713PEPYC4080120160200179.10180.76180.00

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512AMD EPYC 7713P 64-Core7713PEPYC2004006008001000913.6913.3921.7

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 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC0.77091.54182.31273.08363.85453.3953.4263.4211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAMD EPYC 7713P 64-Core7713PEPYC160320480640800750.74750.52744.881. (CC) gcc options: -pthread -lm

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 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC153045607567.0967.6267.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256AMD EPYC 7713P 64-Core7713PEPYC15K30K45K60K75K70765.870530.970225.2

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 2022.3Model: Vehicle Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC2004006008001000943.02943.78936.701. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC81624324033.9133.8834.13MIN: 20.21 / MAX: 78.4MIN: 18.11 / MAX: 79.52MIN: 20.69 / MAX: 92.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 4.0Binary: Pathtracer ISPC - Model: CrownAMD EPYC 7713P 64-Core7713PEPYC122436486053.2053.0152.82MIN: 50.13 / MAX: 55.42MIN: 49.95 / MAX: 55.11MIN: 49.85 / MAX: 55.48

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 7.9.2Test: Random FillAMD EPYC 7713P 64-Core7713PEPYC90K180K270K360K450K4327394325724356241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileAMD EPYC 7713P 64-Core7713PEPYC91827364541.2841.5741.38

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 7.9.2Test: Sequential FillAMD EPYC 7713P 64-Core7713PEPYC90K180K270K360K450K4300884328374329891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

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 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC2468107.9447.9727.9961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 AtomsAMD EPYC 7713P 64-Core7713PEPYC0.10320.20640.30960.41280.5160.455850.458830.45640

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: defconfigAMD EPYC 7713P 64-Core7713PEPYC81624324035.1235.1235.35

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.3090.6180.9271.2361.5451.364761.373501.36834MIN: 1.17MIN: 1.18MIN: 1.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 3.4Blend File: Fishy Cat - Compute: CPU-OnlyAMD EPYC 7713P 64-Core7713PEPYC91827364538.8638.6538.62

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarAMD EPYC 7713P 64-Core7713PEPYC70140210280350333332331MIN: 36 / MAX: 5128MIN: 35 / MAX: 4950MIN: 35 / MAX: 5141

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.20770.41540.62310.83081.03850.9230390.9176110.922674MIN: 0.87MIN: 0.87MIN: 0.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC0.39150.7831.17451.5661.95751.731.741.74MIN: 0.93 / MAX: 18.66MIN: 0.83 / MAX: 23.02MIN: 0.91 / MAX: 15.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC306090120150116.43115.96116.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC60120180240300274.35275.44273.86MIN: 219.29 / MAX: 339.81MIN: 127.04 / MAX: 333.71MIN: 161.01 / MAX: 339.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAMD EPYC 7713P 64-Core7713PEPYC110220330440550527525524MIN: 76 / MAX: 5610MIN: 76 / MAX: 5627MIN: 75 / MAX: 5599

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAMD EPYC 7713P 64-Core7713PEPYC110220330440550488.92490.08487.361. (CC) gcc options: -pthread -lm

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128AMD EPYC 7713P 64-Core7713PEPYC2004006008001000916.9919.1914.1

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 4.0Binary: Pathtracer ISPC - Model: Asian DragonAMD EPYC 7713P 64-Core7713PEPYC142842567060.6760.3960.34MIN: 60.15 / MAX: 61.96MIN: 59.7 / MAX: 61.88MIN: 59.64 / MAX: 61.87

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 1.7Video Input: Bosphorus 1080p - Video Preset: FasterAMD EPYC 7713P 64-Core7713PEPYC51015202522.5422.5922.471. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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: MediumAMD EPYC 7713P 64-Core7713PEPYC4812162015.7215.7015.64

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pAMD EPYC 7713P 64-Core7713PEPYC71421283527.7227.6227.581. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 2022.3Model: Face Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC369121510.2710.3210.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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_bareAMD EPYC 7713P 64-Core7713PEPYC1.16122.32243.48364.64485.8065.1615.1535.1371. (CXX) g++ options: -O3

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 256AMD EPYC 7713P 64-Core7713PEPYC2004006008001000916.5919.7920.7

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 2022.3Model: Person Detection FP32 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC2468106.936.936.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC2468106.986.956.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pAMD EPYC 7713P 64-Core7713PEPYC110220330440550523.95522.33521.821. (CC) gcc options: -pthread -lm

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC100020003000400050004533.244534.224551.69MIN: 3678.62 / MAX: 4960.53MIN: 3777.9 / MAX: 4949.64MIN: 3740.78 / MAX: 4960.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 1.7Video Input: Bosphorus 1080p - Video Preset: FastAMD EPYC 7713P 64-Core7713PEPYC36912159.5859.5489.5541. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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 1080p - Video Preset: Very FastAMD EPYC 7713P 64-Core7713PEPYC4080120160200168.13168.48167.84

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 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD EPYC 7713P 64-Core7713PEPYC2040608010095.3995.7595.65

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: SlowAMD EPYC 7713P 64-Core7713PEPYC4812162013.9514.0013.97

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 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC300600900120015001543.411546.831541.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC51015202520.7120.6620.73MIN: 10.78 / MAX: 59.22MIN: 12.27 / MAX: 46.32MIN: 18.04 / MAX: 47.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC100020003000400050004516.484515.844530.80MIN: 3852.9 / MAX: 4939.4MIN: 3635.39 / MAX: 4946.66MIN: 3773.39 / MAX: 4938.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 7.9.2Test: Update RandomAMD EPYC 7713P 64-Core7713PEPYC90K180K270K360K450K4161784164574150871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomAMD EPYC 7713P 64-Core7713PEPYC600K1200K1800K2400K3000K2654622264602226511181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumAMD EPYC 7713P 64-Core7713PEPYC51015202519.0319.0118.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 1.7Video Input: Bosphorus 4K - Video Preset: FastAMD EPYC 7713P 64-Core7713PEPYC1.00732.01463.02194.02925.03654.4644.4724.4771. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KAMD EPYC 7713P 64-Core7713PEPYC2468106.926.946.921. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC51015202518.4018.4518.42MIN: 10.68 / MAX: 35.55MIN: 11.69 / MAX: 45.1MIN: 9.97 / MAX: 47.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC4008001200160020001737.641733.201735.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAMD EPYC 7713P 64-Core7713PEPYC70140210280350303.37303.23302.631. (CC) gcc options: -pthread -lm

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 3.4Blend File: BMW27 - Compute: CPU-OnlyAMD EPYC 7713P 64-Core7713PEPYC71421283530.3130.2630.33

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC300600900120015001278.471279.861281.41MIN: 1012.03 / MAX: 1333.31MIN: 1091.18 / MAX: 1309.68MIN: 1130.66 / MAX: 1318.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024AMD EPYC 7713P 64-Core7713PEPYC2004006008001000917.6915.6917.2

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 3.4Blend File: Barbershop - Compute: CPU-OnlyAMD EPYC 7713P 64-Core7713PEPYC70140210280350298.27298.61297.97

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7713P 64-Core7713PEPYC0.16960.33920.50880.67840.8480.7539650.7524070.752904MIN: 0.69MIN: 0.69MIN: 0.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 18.8Time To CompileAMD EPYC 7713P 64-Core7713PEPYC4080120160200167.39167.72167.50

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC71421283530.8630.9130.88MIN: 14.74 / MAX: 61.76MIN: 15.57 / MAX: 68.36MIN: 15.83 / MAX: 67.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC20040060080010001036.201034.631035.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 3.4Blend File: Classroom - Compute: CPU-OnlyAMD EPYC 7713P 64-Core7713PEPYC2040608010079.4379.4579.33

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC70014002100280035003085.673081.473084.73MIN: 2689.69 / MAX: 3191.06MIN: 2850.48 / MAX: 3208.57MIN: 2879.59 / MAX: 3171.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC61218243024.8024.8324.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 21.2Time To CompileAMD EPYC 7713P 64-Core7713PEPYC4080120160200185.73185.65185.53

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 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC7K14K21K28K35K33486.4233515.9633481.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 4.0Binary: Pathtracer - Model: Asian DragonAMD EPYC 7713P 64-Core7713PEPYC142842567063.5063.4663.51MIN: 62.84 / MAX: 65.31MIN: 62.8 / MAX: 65.01MIN: 62.9 / MAX: 65.63

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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC61218243025.7825.7925.78MIN: 12.45 / MAX: 37.11MIN: 12.29 / MAX: 41.31MIN: 12.28 / MAX: 43.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC50010001500200025002480.882480.212480.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAMD EPYC 7713P 64-Core7713PEPYC0.42750.8551.28251.712.13751.91.91.9MIN: 0.92 / MAX: 18.9MIN: 1.11 / MAX: 19.11MIN: 0.98 / MAX: 15.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

AMD EPYC 7713P 64-Core: The test run did not produce a result.

7713P: The test run did not produce a result.

EPYC: The test run did not produce a result.

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.

Build: allmodconfig

AMD EPYC 7713P 64-Core: The test quit with a non-zero exit status.

7713P: The test quit with a non-zero exit status.

EPYC: The test quit with a non-zero exit status.

130 Results Shown

oneDNN:
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  IP Shapes 1D - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
CockroachDB:
  KV, 95% Reads - 512
  KV, 60% Reads - 1024
  KV, 60% Reads - 256
oneDNN
OpenVINO
CockroachDB
Kvazaar:
  Bosphorus 4K - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Ultra Fast
CockroachDB
Kvazaar
oneDNN
CockroachDB
oneDNN:
  IP Shapes 3D - f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
SVT-AV1
CockroachDB:
  KV, 10% Reads - 512
  KV, 10% Reads - 128
Kvazaar
CockroachDB
Embree
RocksDB
CockroachDB
ClickHouse
uvg266
oneDNN
uvg266
CockroachDB:
  KV, 50% Reads - 128
  KV, 10% Reads - 1024
oneDNN
SVT-AV1
oneDNN
uvg266
SVT-AV1
VP9 libvpx Encoding
ClickHouse
SVT-AV1
Kvazaar
CockroachDB
Kvazaar
CockroachDB
VVenC
Kvazaar
VP9 libvpx Encoding
RocksDB:
  Rand Read
  Rand Fill Sync
Timed Godot Game Engine Compilation
oneDNN
ClickHouse
oneDNN
uvg266
SVT-AV1
uvg266:
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
CockroachDB
Kvazaar
oneDNN
uvg266
CockroachDB
SVT-AV1
dav1d
SVT-AV1
CockroachDB
OpenVINO:
  Vehicle Detection FP16 - CPU:
    FPS
    ms
Embree
RocksDB
Timed PHP Compilation
RocksDB
SVT-AV1
NAMD
Timed Linux Kernel Compilation
oneDNN
Blender
OpenVKL
oneDNN
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
OpenVKL
dav1d
CockroachDB
Embree
VVenC
uvg266
VP9 libvpx Encoding
OpenVINO
GROMACS
CockroachDB
OpenVINO:
  Person Detection FP32 - CPU
  Person Detection FP16 - CPU
dav1d
OpenVINO
VVenC
uvg266
Blender
uvg266
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    ms
RocksDB:
  Update Rand
  Read Rand Write Rand
Kvazaar
VVenC
VP9 libvpx Encoding
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
dav1d
Blender
OpenVINO
CockroachDB
Blender
oneDNN
Timed Node.js Compilation
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
Blender
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
Timed Gem5 Compilation
OpenVINO
Embree
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms

AMD EPYC 7713P 64-Core

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Python Notes: Python 3.9.14
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 February 2023 03:59 by user .

7713P

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Python Notes: Python 3.9.14
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 February 2023 13:34 by user .

EPYC

Processor: AMD EPYC 7713P 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb

OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Python Notes: Python 3.9.14
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 February 2023 16:11 by user .