AMD EPYC 9754 Bergamo SMT On/Off Comparison

Benchmarks by Michael Larabel for a future article (post 19th) looking at SMT on/off comparison toggled via BIOS. SMT comparison testing of AMD EPYC 9754 128-Core CPUs on Titanite with Ubuntu 22.04 LTS.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307190-NE-BERGAMOSM27
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  Test
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EPYC 9754 1P: SMT On
July 14 2023
  16 Hours, 51 Minutes
EPYC 9754 1P: SMT Off
July 13 2023
  15 Hours, 43 Minutes
EPYC 9754 2P: SMT On
July 11 2023
  14 Hours, 12 Minutes
EPYC 9754 2P: SMT Off
July 12 2023
  13 Hours, 40 Minutes
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  15 Hours, 6 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 9754 1PEPYC 9754 2P SMT On SMT Off SMT On SMT OffAMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a4768GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 22.045.19.0-41-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.41.3.224GCC 11.3.0ext41024x768AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores)2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads)1520GB2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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,brig,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-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa0010bPython Details- Python 3.10.6Security Details- EPYC 9754 1P: SMT On: 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 - EPYC 9754 1P: SMT Off: 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: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 2P: SMT On: 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 - EPYC 9754 2P: SMT Off: 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: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cminife: Smallnpb: SP.Bnpb: SP.Cminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2cloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: H2O-DFT-LSnamd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: OpenMPlibxsmm: 128libxsmm: 256heffte: c2c - FFTW - float - 512heffte: r2c - FFTW - float - 512heffte: c2c - FFTW - double - 512heffte: r2c - FFTW - double - 512specfem3d: Mount St. Helensspecfem3d: Layered Halfspacespecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspacespecfem3d: Water-layered Halfspacenekrs: Kershawnekrs: TurboPipe Periodicxmrig: Monero - 1Mxmrig: Wownero - 1Msrsran: PUSCH Processor Benchmark, Throughput Totaljohn-the-ripper: bcryptjohn-the-ripper: WPA PSKjohn-the-ripper: Blowfishjohn-the-ripper: MD5luxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmark ISPCospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingstockfish: Total Timebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compileprimesieve: 1e12primesieve: 1e13ospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerhelsing: 14 digitaircrack-ng: openssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305liquid-dsp: 256 - 256 - 512liquid-dsp: 512 - 256 - 512astcenc: Fastastcenc: Thoroughastcenc: Exhaustivegraph500: 26graph500: 26graph500: 26graph500: 26mysqlslap: 2048mysqlslap: 4096pgbench: 1000 - 800 - Read Onlypgbench: 1000 - 800 - Read Only - Average Latencytensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUappleseed: Emilyappleseed: Disney Materialappleseed: Material TesterEPYC 9754 1PEPYC 9754 2P SMT On SMT Off SMT On SMT Off292243.6145686.8813264.79140791.525300.29279662.55128129.5651784.1149355.54131909.915944.062237.7635972.643238.90512.005012.260.20702359140812713.43331.7128.124245.54234.845166.34186.21637984915.9649316887.4806747069.40434850017.1944927795808636667253840692324409.474803.68389.02160648103752161152031266716.3424.4712.1820.88125.5813157.65043.623.621.74139630.850730.816532.675031.9245726271791787365034349161.648105.79726.225227.517125.364211.079113.7041.94421.286861873103213759275381396327885164843297250.473171120.3541636336255535300587933054195.11890935.365934685798711696737355571012537766210462415837320169676666717837000001190.754975.08318.17438578900008802490003334450004459120007806558555690.9521422.081628.80504.09118.45416.03122.7773.3807859.86531376.214246.4318240.8667267.7088417.1186152.9895968.626765.9747624.4789102.2265126.9310499.5866316.0466201.625873.2077859.87712.7731.1216.49116.5439.2760.771049.3126.612377.7926.572378.071464.2943.73117.88541.295311.4812.076067.7810.53582.08110.0011794.3210.846148.8910.40120515.110.8385400.881.21122.58770944.30492166.676131298801.4448672.2414274.53147448.725315.15289518.14136942.1351741.0161475.24133415.425867.108234.6845903.205236.1289.274957.6860.20595559062422696.53813.4128.597248.55735.404967.99075.03003158015.0281219294.9372655066.09275029913.4194545015734266667258608333351218.963182.220430.91632206762181632631675166713.2720.988.8814.3785.2893107.36083.573.571.72110723.733323.721025.717825.5121592741510470272722940148.484102.58822.984177.758119.576213.907116.1221.79621.13211271146135818004359261826936539216664337157.956149056.9531114145572805180433363756647.31799293.05507003074331152838928063997034621883392782689987131393333314147000001278.646668.30727.31478936240009283200003637500004935350007836958777220.9171375.331526.81525.39121.47429.16123.8896.9697644.97681780.442135.5549246.3732259.2779504.3578125.44671275.770749.5111812.102377.8148134.5717468.7809404.2338156.056397.0913645.001915.1538.4420.47147.2250.0162.18513.2328.741105.9628.831102.822784.6711.49119.01268.826744.664.745837.625.47545.1358.7111710.5910.915118.296.24113162.290.7071673.851.30123.29839638.492263167.900597491231.8367554.7423705.40211432.899849.01591505.17249109.0962774.2236490.76224243.286328.069253.1237888.085315.52421.652143.5130.10646201433214976.76112.6221.765433.601109.645207.1973.9066750959.9974475703.7827417984.7278301489.77838143786533.7142082.717891.440786015245334098503487933318.6134.459.8619.02210.0714255.98644.764.782.35172049.132849.231153.829552.73189258201353957582386924152.586100.79020.344145.929107.721199.36593.2711.50811.12048249558276981561978171573192531845527.280327926038513106049655203108490.53782091.813175499540272339890700107201931707032790981736011025444000003330166667610.1137134.885315.9305157110000017240300006725410009604710005805458278780.9741225.411770.91329.22124.98538.52172.36139.6590902.85932627.314248.6206556.9411229.1624797.6248159.88611868.331068.36381190.7168107.1835242.9589521.3108602.2602211.4848139.8821902.77927.1216.289.8769.0321.75121.03526.9840.671559.9540.901552.155810.4111.03235.65270.9313214.204.8311299.325.641159.9955.1222954.4411.009889.616.46168372.890.62133931.531.08164.567164536518.7466822.9725983.74224178.108635.30658754.21268721.0553798.6246272.79231041.5710976.682439.06710989.938439.59715.152363.5790.13969297636714505.56373.0223.584430.265112.413210.9332.6301225997.4707729302.7092054283.4518301696.21806925785946.0100754.336573.831704613015003208853022166714.4525.116.9713.51146.2051178.30464.354.312.09153041.656741.553144.710444.2889771462913091447023143148.376100.24018.474118.09999.215198.75093.9521.16011.15263164576310046201331023220545121272423850.054128050.219222269428867102232233590113251.43598946.311004533945702307524535457199823414886378448957052325426333332610933333693.3961127.208814.40991815160000207888000077018000010759000005915797859681.0181581.661908.76452.99146.74634.13189.40182.4453676.81282730.498045.8765590.8789212.68211058.6776118.12852409.803551.81031541.951281.1994290.7562426.7362770.1392162.0191182.5974676.43428.4520.2411.7285.5427.47121.08526.4641.051545.2340.201579.146242.6810.26235.37271.2413141.514.8611373.955.611174.9954.4222955.6411.109878.886.47142135.580.67118225.551.13159.90661440.570691265.885808OpenBenchmarking.org

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CSMT OnSMT Off110K220K330K440K550KSE +/- 396.74, N = 5SE +/- 269.21, N = 5SE +/- 4903.75, N = 15SE +/- 3792.90, N = 12292243.61298801.44491231.83536518.741. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CSMT OnSMT Off90K180K270K360K450KMin: 291074.28 / Avg: 292243.61 / Max: 293455.75Min: 297934.05 / Avg: 298801.44 / Max: 299587.54Min: 467138.64 / Avg: 491231.83 / Max: 522502.06Min: 504560.39 / Avg: 536518.74 / Max: 547635.31. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CSMT OnSMT Off14K28K42K56K70KSE +/- 441.00, N = 15SE +/- 285.31, N = 8SE +/- 348.18, N = 8SE +/- 568.39, N = 845686.8848672.2467554.7466822.971. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CSMT OnSMT Off12K24K36K48K60KMin: 42915.05 / Avg: 45686.88 / Max: 47917.08Min: 46884.47 / Avg: 48672.24 / Max: 49512.56Min: 65952.73 / Avg: 67554.74 / Max: 68895.94Min: 63255.37 / Avg: 66822.97 / Max: 68389.791. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DSMT OnSMT Off6K12K18K24K30KSE +/- 214.86, N = 15SE +/- 54.02, N = 5SE +/- 413.32, N = 15SE +/- 940.02, N = 1213264.7914274.5323705.4025983.741. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DSMT OnSMT Off5K10K15K20K25KMin: 11853.21 / Avg: 13264.79 / Max: 14371.32Min: 14148.51 / Avg: 14274.53 / Max: 14402.29Min: 21502.24 / Avg: 23705.4 / Max: 26559.87Min: 18784.44 / Avg: 25983.74 / Max: 28358.411. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CSMT OnSMT Off50K100K150K200K250KSE +/- 1029.98, N = 8SE +/- 93.32, N = 8SE +/- 1757.80, N = 9SE +/- 2978.54, N = 13140791.52147448.72211432.89224178.101. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CSMT OnSMT Off40K80K120K160K200KMin: 136197.59 / Avg: 140791.52 / Max: 145395.56Min: 147024.3 / Avg: 147448.72 / Max: 147815.8Min: 203018.53 / Avg: 211432.89 / Max: 220067.59Min: 201096.66 / Avg: 224178.1 / Max: 234372.231. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT OnSMT Off2K4K6K8K10KSE +/- 27.01, N = 6SE +/- 29.88, N = 6SE +/- 104.60, N = 15SE +/- 105.10, N = 155300.295315.159849.018635.301. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT OnSMT Off2K4K6K8K10KMin: 5245.74 / Avg: 5300.29 / Max: 5419.19Min: 5232.42 / Avg: 5315.15 / Max: 5453.28Min: 8684.84 / Avg: 9849.01 / Max: 10289.96Min: 8012.86 / Avg: 8635.3 / Max: 9435.161. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT OnSMT Off140K280K420K560K700KSE +/- 2132.06, N = 6SE +/- 1485.96, N = 6SE +/- 7199.59, N = 15SE +/- 4916.03, N = 15279662.55289518.14591505.17658754.211. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT OnSMT Off110K220K330K440K550KMin: 271434.32 / Avg: 279662.55 / Max: 286184.34Min: 284375.68 / Avg: 289518.14 / Max: 293094.64Min: 545882.78 / Avg: 591505.17 / Max: 641830.47Min: 625765.14 / Avg: 658754.21 / Max: 688059.031. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT OnSMT Off60K120K180K240K300KSE +/- 296.36, N = 10SE +/- 104.98, N = 10SE +/- 1284.96, N = 11SE +/- 599.41, N = 10128129.56136942.13249109.09268721.051. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT OnSMT Off50K100K150K200K250KMin: 126992.55 / Avg: 128129.56 / Max: 130078.64Min: 136114.6 / Avg: 136942.13 / Max: 137303.36Min: 243709.43 / Avg: 249109.09 / Max: 255904.32Min: 264873.03 / Avg: 268721.05 / Max: 270846.391. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallSMT OnSMT Off13K26K39K52K65KSE +/- 52.11, N = 5SE +/- 25.22, N = 5SE +/- 411.42, N = 5SE +/- 478.13, N = 551784.151741.062774.253798.61. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallSMT OnSMT Off11K22K33K44K55KMin: 51648.6 / Avg: 51784.12 / Max: 51952.8Min: 51643.6 / Avg: 51740.98 / Max: 51779Min: 61659 / Avg: 62774.2 / Max: 63844Min: 52456.6 / Avg: 53798.58 / Max: 55417.11. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BSMT OnSMT Off50K100K150K200K250KSE +/- 1110.64, N = 9SE +/- 885.17, N = 9SE +/- 732.52, N = 9SE +/- 8884.57, N = 15149355.54161475.24236490.76246272.791. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BSMT OnSMT Off40K80K120K160K200KMin: 143541.85 / Avg: 149355.54 / Max: 155024.55Min: 158221.02 / Avg: 161475.24 / Max: 164515.57Min: 233062.99 / Avg: 236490.76 / Max: 239111.27Min: 178205.97 / Avg: 246272.79 / Max: 281700.761. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT OnSMT Off50K100K150K200K250KSE +/- 290.95, N = 4SE +/- 228.86, N = 4SE +/- 1293.24, N = 6SE +/- 1880.70, N = 6131909.91133415.42224243.28231041.571. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT OnSMT Off40K80K120K160K200KMin: 131089.96 / Avg: 131909.91 / Max: 132464.62Min: 132829.89 / Avg: 133415.42 / Max: 133800.23Min: 220671.08 / Avg: 224243.28 / Max: 228495.38Min: 221923.32 / Avg: 231041.57 / Max: 234228.381. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off2K4K6K8K10KSE +/- 1.30, N = 9SE +/- 2.53, N = 9SE +/- 5.35, N = 9SE +/- 180.32, N = 155944.065867.116328.0710976.681. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off2K4K6K8K10KMin: 5936.78 / Avg: 5944.06 / Max: 5949.56Min: 5853.62 / Avg: 5867.11 / Max: 5875.08Min: 6287.58 / Avg: 6328.07 / Max: 6339.15Min: 9035.77 / Avg: 10976.68 / Max: 11481.61. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off100200300400500SE +/- 0.05, N = 9SE +/- 0.10, N = 9SE +/- 0.21, N = 9SE +/- 7.21, N = 15237.76234.68253.12439.071. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off80160240320400Min: 237.47 / Avg: 237.76 / Max: 237.98Min: 234.15 / Avg: 234.68 / Max: 235Min: 251.5 / Avg: 253.12 / Max: 253.57Min: 361.43 / Avg: 439.07 / Max: 459.261. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off2K4K6K8K10KSE +/- 0.21, N = 3SE +/- 6.13, N = 3SE +/- 10.75, N = 4SE +/- 150.60, N = 125972.645903.217888.0910989.941. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off2K4K6K8K10KMin: 5972.24 / Avg: 5972.64 / Max: 5972.96Min: 5891.56 / Avg: 5903.21 / Max: 5912.33Min: 7863.07 / Avg: 7888.08 / Max: 7911.53Min: 10135.99 / Avg: 10989.94 / Max: 11597.731. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off100200300400500SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.43, N = 4SE +/- 6.02, N = 12238.91236.13315.52439.601. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off80160240320400Min: 238.89 / Avg: 238.91 / Max: 238.92Min: 235.66 / Avg: 236.13 / Max: 236.49Min: 314.52 / Avg: 315.52 / Max: 316.46Min: 405.44 / Avg: 439.6 / Max: 463.911. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsSMT OnSMT Off510152025SE +/- 0.11, N = 4SE +/- 0.09, N = 5SE +/- 0.27, N = 4SE +/- 0.04, N = 412.009.2721.6515.151. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsSMT OnSMT Off510152025Min: 11.82 / Avg: 12 / Max: 12.24Min: 9.1 / Avg: 9.27 / Max: 9.58Min: 21.1 / Avg: 21.65 / Max: 22.36Min: 15.04 / Avg: 15.15 / Max: 15.211. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. More details on the CP2K benchmark test cases and details can be found @ https://www.cp2k.org/performance Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 2023.1Input: H2O-DFT-LSSMT OnSMT Off110022003300440055005012.264957.692143.512363.581. (F9X) gfortran options: -fopenmp -mtune=native -O3 -funroll-loops -fbacktrace -ffree-form -fimplicit-none -std=f2008 -lcp2kstart -lcp2kmc -lcp2kswarm -lcp2kmotion -lcp2kthermostat -lcp2kemd -lcp2ktmc -lcp2kmain -lcp2kdbt -lcp2ktas -lcp2kdbm -lcp2kgrid -lcp2kgridcpu -lcp2kgridref -lcp2kgridcommon -ldbcsrarnoldi -ldbcsrx -lcp2kshg_int -lcp2keri_mme -lcp2kminimax -lcp2khfxbase -lcp2ksubsys -lcp2kxc -lcp2kao -lcp2kpw_env -lcp2kinput -lcp2kpw -lcp2kgpu -lcp2kfft -lcp2kfpga -lcp2kfm -lcp2kcommon -lcp2koffload -lcp2kmpiwrap -lcp2kbase -ldbcsr -lsirius -lspla -lspfft -lsymspg -lvdwxc -lhdf5 -lhdf5_hl -lz -lgsl -lelpa_openmp -lcosma -lcosta -lscalapack -lxsmmf -lxsmm -ldl -lpthread -lxcf03 -lxc -lint2 -lfftw3_mpi -lfftw3 -lfftw3_omp -lmpi_cxx -lmpi -lopenblas -lvori -lstdc++ -lmpi_usempif08 -lmpi_mpifh -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsSMT OnSMT Off0.04660.09320.13980.18640.233SE +/- 0.00095, N = 4SE +/- 0.00018, N = 4SE +/- 0.00040, N = 3SE +/- 0.00135, N = 50.207020.205950.106460.13969
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsSMT OnSMT Off12345Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.14 / Avg: 0.14 / Max: 0.14

toyBrot Fractal Generator

ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBSMT OnSMT Off12002400360048006000SE +/- 21.75, N = 9SE +/- 43.30, N = 15SE +/- 23.04, N = 15SE +/- 31.80, N = 1535915590201429761. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBSMT OnSMT Off10002000300040005000Min: 3519 / Avg: 3590.67 / Max: 3718Min: 5365 / Avg: 5589.53 / Max: 5923Min: 1863 / Avg: 2014.33 / Max: 2157Min: 2795 / Avg: 2975.6 / Max: 31591. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPSMT OnSMT Off13002600390052006500SE +/- 17.08, N = 8SE +/- 0.20, N = 7SE +/- 23.29, N = 12SE +/- 53.03, N = 1540816242332136711. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPSMT OnSMT Off11002200330044005500Min: 4010 / Avg: 4081.13 / Max: 4149Min: 6241 / Avg: 6241.57 / Max: 6242Min: 3174 / Avg: 3320.58 / Max: 3479Min: 3486 / Avg: 3671.33 / Max: 41451. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128SMT OnSMT Off11002200330044005500SE +/- 0.99, N = 3SE +/- 19.26, N = 3SE +/- 62.14, N = 4SE +/- 114.55, N = 92713.42696.54976.74505.51. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128SMT OnSMT Off9001800270036004500Min: 2712 / Avg: 2713.37 / Max: 2715.3Min: 2671.6 / Avg: 2696.5 / Max: 2734.4Min: 4863.4 / Avg: 4976.65 / Max: 5146.2Min: 3869.7 / Avg: 4505.46 / Max: 4924.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256SMT OnSMT Off14002800420056007000SE +/- 2.32, N = 3SE +/- 16.75, N = 3SE +/- 1.43, N = 3SE +/- 66.66, N = 93331.73813.46112.66373.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256SMT OnSMT Off11002200330044005500Min: 3328.9 / Avg: 3331.7 / Max: 3336.3Min: 3795.3 / Avg: 3813.43 / Max: 3846.9Min: 6111.2 / Avg: 6112.63 / Max: 6115.5Min: 6057.6 / Avg: 6372.96 / Max: 6613.51. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off50100150200250SE +/- 0.15, N = 4SE +/- 0.01, N = 4SE +/- 1.37, N = 5SE +/- 1.28, N = 5128.12128.60221.77223.581. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off4080120160200Min: 127.73 / Avg: 128.12 / Max: 128.42Min: 128.57 / Avg: 128.6 / Max: 128.63Min: 217.55 / Avg: 221.77 / Max: 224.91Min: 220.34 / Avg: 223.58 / Max: 227.641. (CXX) g++ options: -O3

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off90180270360450SE +/- 0.52, N = 5SE +/- 0.09, N = 5SE +/- 0.86, N = 7SE +/- 0.77, N = 6245.54248.56433.60430.271. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off80160240320400Min: 244.04 / Avg: 245.54 / Max: 247Min: 248.29 / Avg: 248.56 / Max: 248.76Min: 431.15 / Avg: 433.6 / Max: 438.45Min: 427.47 / Avg: 430.27 / Max: 432.581. (CXX) g++ options: -O3

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off306090120150SE +/- 2.09, N = 15SE +/- 2.10, N = 15SE +/- 0.77, N = 3SE +/- 1.48, N = 334.8535.40109.65112.411. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off20406080100Min: 31.57 / Avg: 34.85 / Max: 63.91Min: 32.31 / Avg: 35.4 / Max: 64.5Min: 108.21 / Avg: 109.65 / Max: 110.83Min: 109.55 / Avg: 112.41 / Max: 114.491. (CXX) g++ options: -O3

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off50100150200250SE +/- 3.14, N = 15SE +/- 3.41, N = 15SE +/- 0.28, N = 5SE +/- 1.62, N = 566.3467.99207.20210.931. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off4080120160200Min: 61.38 / Avg: 66.34 / Max: 109.86Min: 62.09 / Avg: 67.99 / Max: 114.96Min: 206.48 / Avg: 207.2 / Max: 207.99Min: 205.32 / Avg: 210.93 / Max: 214.161. (CXX) g++ options: -O3

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensSMT OnSMT Off246810SE +/- 0.034771470, N = 5SE +/- 0.069356320, N = 12SE +/- 0.014293172, N = 5SE +/- 0.013893024, N = 56.2163798495.0300315803.9066750952.6301225991. (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
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensSMT OnSMT Off246810Min: 6.11 / Avg: 6.22 / Max: 6.31Min: 4.62 / Avg: 5.03 / Max: 5.31Min: 3.87 / Avg: 3.91 / Max: 3.96Min: 2.61 / Avg: 2.63 / Max: 2.681. (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

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceSMT OnSMT Off48121620SE +/- 0.034780206, N = 3SE +/- 0.159428812, N = 3SE +/- 0.066481426, N = 15SE +/- 0.056354216, N = 415.96493168815.0281219299.9974475707.4707729301. (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
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceSMT OnSMT Off48121620Min: 15.9 / Avg: 15.96 / Max: 16.01Min: 14.71 / Avg: 15.03 / Max: 15.21Min: 9.58 / Avg: 10 / Max: 10.53Min: 7.4 / Avg: 7.47 / Max: 7.641. (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

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelSMT OnSMT Off246810SE +/- 0.080164897, N = 5SE +/- 0.048140615, N = 15SE +/- 0.086611165, N = 15SE +/- 0.014728964, N = 67.4806747064.9372655063.7827417982.7092054281. (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
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelSMT OnSMT Off3691215Min: 7.24 / Avg: 7.48 / Max: 7.66Min: 4.75 / Avg: 4.94 / Max: 5.36Min: 3.33 / Avg: 3.78 / Max: 4.27Min: 2.67 / Avg: 2.71 / Max: 2.761. (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

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceSMT OnSMT Off3691215SE +/- 0.048294894, N = 4SE +/- 0.044108994, N = 15SE +/- 0.120152278, N = 15SE +/- 0.065109589, N = 129.4043485006.0927502994.7278301483.4518301691. (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
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceSMT OnSMT Off3691215Min: 9.29 / Avg: 9.4 / Max: 9.51Min: 5.9 / Avg: 6.09 / Max: 6.54Min: 3.91 / Avg: 4.73 / Max: 5.26Min: 3.2 / Avg: 3.45 / Max: 3.991. (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

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceSMT OnSMT Off48121620SE +/- 0.142353904, N = 3SE +/- 0.021567327, N = 3SE +/- 0.063515594, N = 4SE +/- 0.062799204, N = 1517.19449277913.4194545019.7783814376.2180692571. (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
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceSMT OnSMT Off48121620Min: 16.98 / Avg: 17.19 / Max: 17.46Min: 13.38 / Avg: 13.42 / Max: 13.45Min: 9.66 / Avg: 9.78 / Max: 9.96Min: 6 / Avg: 6.22 / Max: 6.881. (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

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: KershawSMT OnSMT Off1200M2400M3600M4800M6000MSE +/- 8226739.60, N = 3SE +/- 37190783.06, N = 3580863666757342666671. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: KershawSMT OnSMT Off1000M2000M3000M4000M5000MMin: 5792190000 / Avg: 5808636666.67 / Max: 5817270000Min: 5667210000 / Avg: 5734266666.67 / Max: 57956700001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

Input: Kershaw

EPYC 9754 2P: SMT On: The test quit with a non-zero exit status. E: mpirun noticed that process rank 0 with PID 0 on node phoronix-QuantaGrid-D54Q-2U exited on signal 11 (Segmentation fault).

EPYC 9754 2P: SMT Off: The test quit with a non-zero exit status. E: mpirun noticed that process rank 0 with PID 0 on node phoronix-QuantaGrid-D54Q-2U exited on signal 11 (Segmentation fault).

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe PeriodicSMT OnSMT Off600M1200M1800M2400M3000MSE +/- 62315945.32, N = 13SE +/- 87729075.59, N = 15253840692325860833331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe PeriodicSMT OnSMT Off400M800M1200M1600M2000MMin: 2417740000 / Avg: 2538406923.08 / Max: 3280590000Min: 2434380000 / Avg: 2586083333.33 / Max: 37924800001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

Input: TurboPipe Periodic

EPYC 9754 2P: SMT On: The test quit with a non-zero exit status. E: mpirun noticed that process rank 0 with PID 0 on node phoronix-QuantaGrid-D54Q-2U exited on signal 11 (Segmentation fault).

EPYC 9754 2P: SMT Off: The test quit with a non-zero exit status. E: mpirun noticed that process rank 0 with PID 0 on node phoronix-QuantaGrid-D54Q-2U exited on signal 11 (Segmentation fault).

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 Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MSMT OnSMT Off20K40K60K80K100KSE +/- 587.76, N = 15SE +/- 513.99, N = 3SE +/- 871.70, N = 4SE +/- 83.35, N = 424409.451218.986533.785946.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MSMT OnSMT Off15K30K45K60K75KMin: 23549.4 / Avg: 24409.36 / Max: 32596.6Min: 50203.3 / Avg: 51218.9 / Max: 51864.5Min: 84196.3 / Avg: 86533.65 / Max: 88160.1Min: 85770.6 / Avg: 85945.98 / Max: 86169.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MSMT OnSMT Off30K60K90K120K150KSE +/- 513.11, N = 15SE +/- 13.77, N = 4SE +/- 677.82, N = 5SE +/- 741.13, N = 474803.663182.2142082.7100754.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MSMT OnSMT Off20K40K60K80K100KMin: 73115.4 / Avg: 74803.56 / Max: 79846.7Min: 63159.2 / Avg: 63182.18 / Max: 63219.1Min: 139742.9 / Avg: 142082.68 / Max: 143760.8Min: 99364.1 / Avg: 100754.28 / Max: 102186.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.5Test: PUSCH Processor Benchmark, Throughput TotalSMT OnSMT Off8K16K24K32K40KSE +/- 50.60, N = 3SE +/- 54.33, N = 3SE +/- 831.80, N = 15SE +/- 211.99, N = 38389.020430.917891.436573.81. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.5Test: PUSCH Processor Benchmark, Throughput TotalSMT OnSMT Off6K12K18K24K30KMin: 8314.1 / Avg: 8389.03 / Max: 8485.4Min: 20350.3 / Avg: 20430.87 / Max: 20534.3Min: 16635.3 / Avg: 17891.35 / Max: 29112.9Min: 36236 / Avg: 36573.83 / Max: 36964.61. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT OnSMT Off90K180K270K360K450KSE +/- 92.54, N = 3SE +/- 33.22, N = 3SE +/- 2298.36, N = 3SE +/- 1964.45, N = 32160641632204078603170461. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT OnSMT Off70K140K210K280K350KMin: 215884 / Avg: 216063.67 / Max: 216192Min: 163161 / Avg: 163219.67 / Max: 163276Min: 405164 / Avg: 407859.67 / Max: 412432Min: 313651 / Avg: 317045.67 / Max: 3204561. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT OnSMT Off300K600K900K1200K1500KSE +/- 505.98, N = 3SE +/- 6933.79, N = 3SE +/- 18163.51, N = 15SE +/- 15887.63, N = 4810375676218152453313015001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT OnSMT Off300K600K900K1200K1500KMin: 809376 / Avg: 810375.33 / Max: 811013Min: 669013 / Avg: 676218 / Max: 690082Min: 1324000 / Avg: 1524533.33 / Max: 1572000Min: 1254000 / Avg: 1301500 / Max: 13210001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT OnSMT Off90K180K270K360K450KSE +/- 117.40, N = 3SE +/- 12.67, N = 3SE +/- 3726.56, N = 3SE +/- 1247.49, N = 32161151632634098503208851. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT OnSMT Off70K140K210K280K350KMin: 215884 / Avg: 216114.67 / Max: 216268Min: 163238 / Avg: 163263.33 / Max: 163276Min: 402400 / Avg: 409850 / Max: 413762Min: 318412 / Avg: 320885.33 / Max: 3224061. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5SMT OnSMT Off7M14M21M28M35MSE +/- 52818.35, N = 3SE +/- 35950.58, N = 3SE +/- 83819.91, N = 3SE +/- 140717.61, N = 3203126671675166734879333302216671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5SMT OnSMT Off6M12M18M24M30MMin: 20242000 / Avg: 20312666.67 / Max: 20416000Min: 16693000 / Avg: 16751666.67 / Max: 16817000Min: 34714000 / Avg: 34879333.33 / Max: 34986000Min: 29941000 / Avg: 30221666.67 / Max: 303800001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT OnSMT Off510152025SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 4SE +/- 0.10, N = 316.3413.2718.6114.45
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT OnSMT Off510152025Min: 16.14 / Avg: 16.34 / Max: 16.49Min: 13.16 / Avg: 13.27 / Max: 13.34Min: 18.33 / Avg: 18.61 / Max: 19.18Min: 14.32 / Avg: 14.45 / Max: 14.66

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT OnSMT Off816243240SE +/- 0.30, N = 15SE +/- 0.03, N = 3SE +/- 1.35, N = 15SE +/- 0.60, N = 1524.4720.9834.4525.11
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT OnSMT Off714212835Min: 23.78 / Avg: 24.47 / Max: 26.76Min: 20.94 / Avg: 20.98 / Max: 21.04Min: 29.5 / Avg: 34.45 / Max: 41.29Min: 23.32 / Avg: 25.11 / Max: 29.82

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT OnSMT Off3691215SE +/- 0.09, N = 15SE +/- 0.08, N = 8SE +/- 0.11, N = 15SE +/- 0.11, N = 1212.188.889.866.97
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT OnSMT Off48121620Min: 11.69 / Avg: 12.18 / Max: 12.8Min: 8.56 / Avg: 8.88 / Max: 9.23Min: 9.24 / Avg: 9.86 / Max: 10.73Min: 6.51 / Avg: 6.97 / Max: 7.87

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUSMT OnSMT Off510152025SE +/- 0.03, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 5SE +/- 0.35, N = 1520.8814.3719.0213.51
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUSMT OnSMT Off510152025Min: 20.81 / Avg: 20.88 / Max: 20.97Min: 14.26 / Avg: 14.37 / Max: 14.45Min: 18.91 / Avg: 19.02 / Max: 19.08Min: 12.76 / Avg: 13.51 / Max: 16.62

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownSMT OnSMT Off50100150200250SE +/- 0.13, N = 7SE +/- 0.05, N = 6SE +/- 0.16, N = 9SE +/- 0.13, N = 7125.5885.29210.07146.21
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownSMT OnSMT Off4080120160200Min: 125.17 / Avg: 125.58 / Max: 126.22Min: 85.05 / Avg: 85.29 / Max: 85.42Min: 209.36 / Avg: 210.07 / Max: 210.97Min: 145.74 / Avg: 146.21 / Max: 146.72

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonSMT OnSMT Off60120180240300SE +/- 0.09, N = 8SE +/- 0.09, N = 6SE +/- 0.48, N = 9SE +/- 0.26, N = 8157.65107.36255.99178.30
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonSMT OnSMT Off50100150200250Min: 157.31 / Avg: 157.65 / Max: 158.17Min: 107.1 / Avg: 107.36 / Max: 107.68Min: 253.76 / Avg: 255.99 / Max: 257.89Min: 177.2 / Avg: 178.3 / Max: 179.26

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off1.0712.1423.2134.2845.355SE +/- 0.00, N = 7SE +/- 0.02, N = 7SE +/- 0.01, N = 7SE +/- 0.03, N = 73.623.574.764.35
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off246810Min: 3.61 / Avg: 3.62 / Max: 3.62Min: 3.52 / Avg: 3.57 / Max: 3.67Min: 4.72 / Avg: 4.76 / Max: 4.78Min: 4.25 / Avg: 4.35 / Max: 4.48

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off1.07552.1513.22654.3025.3775SE +/- 0.00, N = 7SE +/- 0.02, N = 15SE +/- 0.01, N = 7SE +/- 0.03, N = 153.623.574.784.31
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off246810Min: 3.61 / Avg: 3.62 / Max: 3.63Min: 3.38 / Avg: 3.57 / Max: 3.69Min: 4.74 / Avg: 4.78 / Max: 4.82Min: 4.04 / Avg: 4.31 / Max: 4.51

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT OnSMT Off0.52881.05761.58642.11522.644SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 5SE +/- 0.02, N = 51.741.722.352.09
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT OnSMT Off246810Min: 1.74 / Avg: 1.74 / Max: 1.74Min: 1.71 / Avg: 1.72 / Max: 1.75Min: 2.34 / Avg: 2.35 / Max: 2.36Min: 2.04 / Avg: 2.09 / Max: 2.14

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCSMT OnSMT Off400800120016002000SE +/- 1.86, N = 3SE +/- 0.33, N = 3SE +/- 6.06, N = 3SE +/- 1.33, N = 31396110717201530
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCSMT OnSMT Off30060090012001500Min: 1392 / Avg: 1395.67 / Max: 1398Min: 1107 / Avg: 1107.33 / Max: 1108Min: 1709 / Avg: 1719.67 / Max: 1730Min: 1527 / Avg: 1529.67 / Max: 1531

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeSMT OnSMT Off1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 330.8523.7349.1341.66
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeSMT OnSMT Off1020304050Min: 30.8 / Avg: 30.85 / Max: 30.9Min: 23.7 / Avg: 23.73 / Max: 23.76Min: 49.06 / Avg: 49.13 / Max: 49.23Min: 41.62 / Avg: 41.66 / Max: 41.69

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeSMT OnSMT Off1122334455SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 330.8223.7249.2341.55
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeSMT OnSMT Off1020304050Min: 30.79 / Avg: 30.82 / Max: 30.84Min: 23.69 / Avg: 23.72 / Max: 23.74Min: 49.19 / Avg: 49.23 / Max: 49.3Min: 41.5 / Avg: 41.55 / Max: 41.59

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeSMT OnSMT Off1224364860SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 332.6825.7253.8344.71
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeSMT OnSMT Off1122334455Min: 32.55 / Avg: 32.68 / Max: 32.78Min: 25.7 / Avg: 25.72 / Max: 25.74Min: 53.65 / Avg: 53.83 / Max: 53.93Min: 44.68 / Avg: 44.71 / Max: 44.76

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeSMT OnSMT Off1224364860SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 331.9225.5152.7344.29
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeSMT OnSMT Off1122334455Min: 31.75 / Avg: 31.92 / Max: 32.02Min: 25.46 / Avg: 25.51 / Max: 25.54Min: 52.68 / Avg: 52.73 / Max: 52.77Min: 44.18 / Avg: 44.29 / Max: 44.42

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSMT OnSMT Off200K400K600K800K1000KSE +/- 1345.49, N = 3SE +/- 4792.89, N = 3SE +/- 5539.49, N = 3SE +/- 4721.80, N = 37262715927419258207714621. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSMT OnSMT Off160K320K480K640K800KMin: 724114 / Avg: 726271.33 / Max: 728743Min: 583392 / Avg: 592740.67 / Max: 599250Min: 917501 / Avg: 925819.67 / Max: 936316Min: 762298 / Avg: 771461.67 / Max: 7780201. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT OnSMT Off300K600K900K1200K1500KSE +/- 1608.29, N = 3SE +/- 429.17, N = 3SE +/- 5499.45, N = 3SE +/- 1897.81, N = 379178751047013539579130911. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT OnSMT Off200K400K600K800K1000KMin: 789740 / Avg: 791786.67 / Max: 794959Min: 509612 / Avg: 510470.33 / Max: 510901Min: 1348033 / Avg: 1353957.33 / Max: 1364945Min: 910040 / Avg: 913091.33 / Max: 9165721. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeSMT OnSMT Off120M240M360M480M600MSE +/- 7021012.10, N = 12SE +/- 5762415.88, N = 15SE +/- 9265130.36, N = 15SE +/- 6859221.31, N = 123650343492727229405823869244470231431. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeSMT OnSMT Off100M200M300M400M500MMin: 337283080 / Avg: 365034348.75 / Max: 407514704Min: 241060730 / Avg: 272722940.27 / Max: 308317378Min: 530039618 / Avg: 582386924.07 / Max: 632186487Min: 413873255 / Avg: 447023143.08 / Max: 4835260821. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileSMT OnSMT Off4080120160200SE +/- 0.32, N = 3SE +/- 0.50, N = 3SE +/- 1.29, N = 3SE +/- 1.24, N = 3161.65148.48152.59148.38
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileSMT OnSMT Off306090120150Min: 161.05 / Avg: 161.65 / Max: 162.17Min: 147.5 / Avg: 148.48 / Max: 149.05Min: 150.03 / Avg: 152.59 / Max: 154.15Min: 145.89 / Avg: 148.38 / Max: 149.7

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileSMT OnSMT Off20406080100SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 1.01, N = 3SE +/- 0.30, N = 3105.80102.59100.79100.24
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileSMT OnSMT Off20406080100Min: 105.53 / Avg: 105.8 / Max: 105.96Min: 102.34 / Avg: 102.59 / Max: 102.92Min: 99.29 / Avg: 100.79 / Max: 102.71Min: 99.66 / Avg: 100.24 / Max: 100.67

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigSMT OnSMT Off612182430SE +/- 0.23, N = 7SE +/- 0.21, N = 7SE +/- 0.14, N = 13SE +/- 0.12, N = 1326.2322.9820.3418.47
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigSMT OnSMT Off612182430Min: 25.84 / Avg: 26.23 / Max: 27.6Min: 22.72 / Avg: 22.98 / Max: 24.26Min: 20.05 / Avg: 20.34 / Max: 21.94Min: 18.3 / Avg: 18.47 / Max: 19.94

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigSMT OnSMT Off50100150200250SE +/- 1.35, N = 3SE +/- 0.48, N = 3SE +/- 0.51, N = 3SE +/- 0.55, N = 3227.52177.76145.93118.10
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigSMT OnSMT Off4080120160200Min: 225.91 / Avg: 227.52 / Max: 230.2Min: 177.26 / Avg: 177.76 / Max: 178.73Min: 145.14 / Avg: 145.93 / Max: 146.89Min: 117.44 / Avg: 118.1 / Max: 119.18

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaSMT OnSMT Off306090120150SE +/- 0.29, N = 3SE +/- 0.18, N = 3SE +/- 0.91, N = 3SE +/- 0.70, N = 3125.36119.58107.7299.22
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaSMT OnSMT Off20406080100Min: 124.8 / Avg: 125.36 / Max: 125.73Min: 119.38 / Avg: 119.58 / Max: 119.93Min: 106.42 / Avg: 107.72 / Max: 109.47Min: 98.22 / Avg: 99.21 / Max: 100.58

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesSMT OnSMT Off50100150200250SE +/- 0.15, N = 3SE +/- 0.70, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3211.08213.91199.37198.75
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesSMT OnSMT Off4080120160200Min: 210.81 / Avg: 211.08 / Max: 211.32Min: 212.7 / Avg: 213.91 / Max: 215.11Min: 199.09 / Avg: 199.36 / Max: 199.52Min: 198.62 / Avg: 198.75 / Max: 198.98

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileSMT OnSMT Off306090120150SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3113.70116.1293.2793.95
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileSMT OnSMT Off20406080100Min: 113.69 / Avg: 113.7 / Max: 113.72Min: 115.99 / Avg: 116.12 / Max: 116.22Min: 93.16 / Avg: 93.27 / Max: 93.45Min: 93.89 / Avg: 93.95 / Max: 94.04

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12SMT OnSMT Off0.43740.87481.31221.74962.187SE +/- 0.006, N = 11SE +/- 0.003, N = 11SE +/- 0.010, N = 14SE +/- 0.003, N = 121.9441.7961.5081.1601. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12SMT OnSMT Off246810Min: 1.92 / Avg: 1.94 / Max: 1.98Min: 1.79 / Avg: 1.8 / Max: 1.82Min: 1.46 / Avg: 1.51 / Max: 1.59Min: 1.15 / Avg: 1.16 / Max: 1.181. (CXX) g++ options: -O3

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13SMT OnSMT Off510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 5SE +/- 0.03, N = 521.2921.1311.1211.151. (CXX) g++ options: -O3
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13SMT OnSMT Off510152025Min: 21.24 / Avg: 21.29 / Max: 21.31Min: 21.1 / Avg: 21.13 / Max: 21.17Min: 11.07 / Avg: 11.12 / Max: 11.15Min: 11.07 / Avg: 11.15 / Max: 11.261. (CXX) g++ options: -O3

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 2.85, N = 3SE +/- 0.58, N = 386111274826311. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000Min: 859 / Avg: 860.67 / Max: 862Min: 1125 / Avg: 1126.67 / Max: 1129Min: 479 / Avg: 482.33 / Max: 488Min: 630 / Avg: 631 / Max: 6321. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000SE +/- 0.88, N = 3SE +/- 1.53, N = 3SE +/- 1.45, N = 3SE +/- 0.33, N = 387311464956451. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000Min: 872 / Avg: 873.33 / Max: 875Min: 1144 / Avg: 1146 / Max: 1149Min: 492 / Avg: 494.67 / Max: 497Min: 645 / Avg: 645.33 / Max: 6461. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off30060090012001500SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3103213585827631. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000Min: 1031 / Avg: 1032 / Max: 1033Min: 1358 / Avg: 1358.33 / Max: 1359Min: 582 / Avg: 582.33 / Max: 583Min: 761 / Avg: 762.67 / Max: 7641. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off4K8K12K16K20KSE +/- 5.78, N = 3SE +/- 18.26, N = 3SE +/- 7.80, N = 3SE +/- 14.52, N = 313759180047698100461. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off3K6K9K12K15KMin: 13751 / Avg: 13758.67 / Max: 13770Min: 17978 / Avg: 18003.67 / Max: 18039Min: 7684 / Avg: 7697.67 / Max: 7711Min: 10017 / Avg: 10045.67 / Max: 100641. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off8K16K24K32K40KSE +/- 10.48, N = 3SE +/- 29.21, N = 3SE +/- 64.83, N = 3SE +/- 38.84, N = 3275383592615619201331. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off6K12K18K24K30KMin: 27525 / Avg: 27538.33 / Max: 27559Min: 35868 / Avg: 35926 / Max: 35961Min: 15520 / Avg: 15619 / Max: 15741Min: 20082 / Avg: 20132.67 / Max: 202091. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off4K8K12K16K20KSE +/- 6.12, N = 3SE +/- 11.93, N = 3SE +/- 19.63, N = 3SE +/- 5.29, N = 313963182697817102321. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off3K6K9K12K15KMin: 13953 / Avg: 13962.67 / Max: 13974Min: 18247 / Avg: 18269 / Max: 18288Min: 7783 / Avg: 7816.67 / Max: 7851Min: 10224 / Avg: 10232 / Max: 102421. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off8K16K24K32K40KSE +/- 21.53, N = 3SE +/- 53.62, N = 3SE +/- 41.40, N = 3SE +/- 96.56, N = 3278853653915731205451. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off6K12K18K24K30KMin: 27851 / Avg: 27885.33 / Max: 27925Min: 36451 / Avg: 36538.67 / Max: 36636Min: 15652 / Avg: 15731 / Max: 15792Min: 20359 / Avg: 20545 / Max: 206831. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off5K10K15K20K25KSE +/- 11.89, N = 3SE +/- 15.65, N = 3SE +/- 27.17, N = 3SE +/- 8.65, N = 316484216669253121271. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off4K8K12K16K20KMin: 16461 / Avg: 16484.33 / Max: 16500Min: 21638 / Avg: 21666.33 / Max: 21692Min: 9207 / Avg: 9252.67 / Max: 9301Min: 12115 / Avg: 12127.33 / Max: 121441. (CXX) g++ options: -O3 -lm -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off9K18K27K36K45KSE +/- 17.58, N = 3SE +/- 76.61, N = 3SE +/- 34.44, N = 3SE +/- 17.91, N = 3329724337118455242381. (CXX) g++ options: -O3 -lm -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off8K16K24K32K40KMin: 32945 / Avg: 32972 / Max: 33005Min: 43234 / Avg: 43370.67 / Max: 43499Min: 18388 / Avg: 18454.67 / Max: 18503Min: 24208 / Avg: 24238.33 / Max: 242701. (CXX) g++ options: -O3 -lm -ldl

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitSMT OnSMT Off1326395265SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.37, N = 3SE +/- 0.31, N = 350.4757.9627.2850.051. (CC) gcc options: -O2 -pthread
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitSMT OnSMT Off1122334455Min: 50.33 / Avg: 50.47 / Max: 50.63Min: 57.91 / Avg: 57.96 / Max: 58.02Min: 26.82 / Avg: 27.28 / Max: 28Min: 49.46 / Avg: 50.05 / Max: 50.51. (CC) gcc options: -O2 -pthread

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7SMT OnSMT Off40K80K120K160K200KSE +/- 101.44, N = 3SE +/- 1020.90, N = 3SE +/- 1109.71, N = 3171120.35149056.95128050.221. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7SMT OnSMT Off30K60K90K120K150KMin: 170978.7 / Avg: 171120.35 / Max: 171316.97Min: 147034.39 / Avg: 149056.95 / Max: 150310.39Min: 126334.87 / Avg: 128050.22 / Max: 130127.561. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

EPYC 9754 2P: SMT On: The test run did not produce a result.

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256SMT OnSMT Off70000M140000M210000M280000M350000MSE +/- 161352968.33, N = 3SE +/- 15184699.42, N = 3SE +/- 207719324.78, N = 3SE +/- 224959781.68, N = 31636336255531114145572803279260385132222694288671. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256SMT OnSMT Off60000M120000M180000M240000M300000MMin: 163393399580 / Avg: 163633625553.33 / Max: 163940347630Min: 111390044420 / Avg: 111414557280 / Max: 111442339980Min: 327516173060 / Avg: 327926038513.33 / Max: 328189705270Min: 221819514970 / Avg: 222269428866.67 / Max: 2224963414001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512SMT OnSMT Off20000M40000M60000M80000M100000MSE +/- 4276543.39, N = 3SE +/- 19506083.54, N = 3SE +/- 22577791.79, N = 3SE +/- 660141733.06, N = 353005879330518043336371060496552031022322335901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512SMT OnSMT Off20000M40000M60000M80000M100000MMin: 53000303950 / Avg: 53005879330 / Max: 53014284210Min: 51772795230 / Avg: 51804333636.67 / Max: 51839988980Min: 106004564450 / Avg: 106049655203.33 / Max: 106074295340Min: 101383737990 / Avg: 102232233590 / Max: 1035324966501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off20K40K60K80K100KSE +/- 16.66, N = 3SE +/- 1.80, N = 3SE +/- 3.93, N = 3SE +/- 3.85, N = 354195.156647.3108490.5113251.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off20K40K60K80K100KMin: 54175.2 / Avg: 54195.1 / Max: 54228.2Min: 56643.7 / Avg: 56647.3 / Max: 56649.3Min: 108486 / Avg: 108490.47 / Max: 108498.3Min: 113243.8 / Avg: 113251.43 / Max: 113256.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off800K1600K2400K3200K4000KSE +/- 405.88, N = 3SE +/- 1031.37, N = 3SE +/- 163.02, N = 3SE +/- 1067.40, N = 31890935.31799293.03782091.83598946.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off700K1400K2100K2800K3500KMin: 1890303.7 / Avg: 1890935.27 / Max: 1891692.7Min: 1797448.2 / Avg: 1799293.03 / Max: 1801014.6Min: 3781915.6 / Avg: 3782091.83 / Max: 3782417.5Min: 3597468.2 / Avg: 3598946.3 / Max: 3601019.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20SMT OnSMT Off300000M600000M900000M1200000M1500000MSE +/- 23916253.09, N = 3SE +/- 70893114.79, N = 3SE +/- 46014499.85, N = 3SE +/- 107897909.37, N = 3659346857987550700307433131754995402711004533945701. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20SMT OnSMT Off200000M400000M600000M800000M1000000MMin: 659303944470 / Avg: 659346857986.67 / Max: 659386611850Min: 550561616150 / Avg: 550700307433.33 / Max: 550795168700Min: 1317482271060 / Avg: 1317549954026.7 / Max: 1317637797960Min: 1100253662140 / Avg: 1100453394570 / Max: 11006240145401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMSMT OnSMT Off500000M1000000M1500000M2000000M2500000MSE +/- 404585301.69, N = 3SE +/- 772883363.35, N = 3SE +/- 4494053056.14, N = 3SE +/- 4718005576.14, N = 311696737355571152838928063233989070010723075245354571. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMSMT OnSMT Off400000M800000M1200000M1600000M2000000MMin: 1168870904080 / Avg: 1169673735556.7 / Max: 1170162695650Min: 1151848296170 / Avg: 1152838928063.3 / Max: 1154361878390Min: 2331034879590 / Avg: 2339890700106.7 / Max: 2345649163200Min: 2298662876500 / Avg: 2307524535456.7 / Max: 23147628514001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMSMT OnSMT Off400000M800000M1200000M1600000M2000000MSE +/- 2018584981.53, N = 3SE +/- 917614258.55, N = 3SE +/- 676471418.80, N = 3SE +/- 2904032106.06, N = 31012537766210997034621883201931707032719982341488631. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMSMT OnSMT Off400000M800000M1200000M1600000M2000000MMin: 1008505646280 / Avg: 1012537766210 / Max: 1014728647900Min: 995569430250 / Avg: 997034621883.33 / Max: 998724274590Min: 2018497738890 / Avg: 2019317070326.7 / Max: 2020659132280Min: 1993569074650 / Avg: 1998234148863.3 / Max: 20035630202901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305SMT OnSMT Off200000M400000M600000M800000M1000000MSE +/- 15599558.91, N = 3SE +/- 86138373.27, N = 3SE +/- 267574958.87, N = 3SE +/- 39882779.79, N = 34624158373203927826899879098173601107844895705231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305SMT OnSMT Off160000M320000M480000M640000M800000MMin: 462384997720 / Avg: 462415837320 / Max: 462435347110Min: 392631473770 / Avg: 392782689986.67 / Max: 392929780260Min: 909287160760 / Avg: 909817360110 / Max: 910145353050Min: 784424869180 / Avg: 784489570523.33 / Max: 7845623218201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off500M1000M1500M2000M2500MSE +/- 470224.53, N = 3SE +/- 592546.29, N = 3SE +/- 1877054.43, N = 3SE +/- 1068228.02, N = 316967666671313933333254440000025426333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off400M800M1200M1600M2000MMin: 1696200000 / Avg: 1696766666.67 / Max: 1697700000Min: 1312800000 / Avg: 1313933333.33 / Max: 1314800000Min: 2541100000 / Avg: 2544400000 / Max: 2547600000Min: 2540500000 / Avg: 2542633333.33 / Max: 25438000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 512 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off700M1400M2100M2800M3500MSE +/- 1814754.35, N = 3SE +/- 2946183.97, N = 3SE +/- 569600.25, N = 3SE +/- 3555434.03, N = 317837000001414700000333016666726109333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 512 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off600M1200M1800M2400M3000MMin: 1780900000 / Avg: 1783700000 / Max: 1787100000Min: 1408900000 / Avg: 1414700000 / Max: 1418500000Min: 3329500000 / Avg: 3330166666.67 / Max: 3331300000Min: 2604600000 / Avg: 2610933333.33 / Max: 26169000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastSMT OnSMT Off30060090012001500SE +/- 1.79, N = 6SE +/- 1.20, N = 7SE +/- 1.29, N = 5SE +/- 1.25, N = 51190.751278.65610.11693.401. (CXX) g++ options: -O3 -flto -pthread
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastSMT OnSMT Off2004006008001000Min: 1187.12 / Avg: 1190.75 / Max: 1198.62Min: 1274.28 / Avg: 1278.65 / Max: 1282.12Min: 605.83 / Avg: 610.11 / Max: 613.09Min: 689.68 / Avg: 693.4 / Max: 697.111. (CXX) g++ options: -O3 -flto -pthread

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughSMT OnSMT Off306090120150SE +/- 0.02, N = 6SE +/- 0.01, N = 6SE +/- 0.22, N = 6SE +/- 0.05, N = 675.0868.31134.89127.211. (CXX) g++ options: -O3 -flto -pthread
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughSMT OnSMT Off306090120150Min: 75.01 / Avg: 75.08 / Max: 75.18Min: 68.27 / Avg: 68.31 / Max: 68.35Min: 134.29 / Avg: 134.89 / Max: 135.73Min: 127.04 / Avg: 127.21 / Max: 127.351. (CXX) g++ options: -O3 -flto -pthread

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveSMT OnSMT Off48121620SE +/- 0.0006, N = 5SE +/- 0.0028, N = 5SE +/- 0.0081, N = 6SE +/- 0.0257, N = 68.17437.314715.930514.40991. (CXX) g++ options: -O3 -flto -pthread
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveSMT OnSMT Off48121620Min: 8.17 / Avg: 8.17 / Max: 8.18Min: 7.31 / Avg: 7.31 / Max: 7.32Min: 15.91 / Avg: 15.93 / Max: 15.96Min: 14.34 / Avg: 14.41 / Max: 14.491. (CXX) g++ options: -O3 -flto -pthread

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off400M800M1200M1600M2000M857890000893624000157110000018151600001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off400M800M1200M1600M2000M880249000928320000172403000020788800001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off160M320M480M640M800M3334450003637500006725410007701800001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off200M400M600M800M1000M44591200049353500096047100010759000001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 2048SMT OnSMT Off2004006008001000SE +/- 1.81, N = 3SE +/- 1.06, N = 3SE +/- 8.04, N = 3SE +/- 0.73, N = 37807835805911. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 2048SMT OnSMT Off140280420560700Min: 777.6 / Avg: 780.24 / Max: 783.7Min: 781.25 / Avg: 783.09 / Max: 784.93Min: 565.61 / Avg: 579.71 / Max: 593.47Min: 589.28 / Avg: 590.67 / Max: 591.721. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 4096SMT OnSMT Off150300450600750SE +/- 8.08, N = 3SE +/- 3.99, N = 3SE +/- 5.45, N = 6SE +/- 1.48, N = 36556955455791. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 4096SMT OnSMT Off120240360480600Min: 641.44 / Avg: 654.79 / Max: 669.34Min: 690.61 / Avg: 695.29 / Max: 703.23Min: 523.29 / Avg: 545.33 / Max: 559.91Min: 576.04 / Avg: 578.82 / Max: 581.061. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read OnlySMT OnSMT Off200K400K600K800K1000KSE +/- 45813.37, N = 9SE +/- 21185.07, N = 12SE +/- 23693.25, N = 12SE +/- 4149.87, N = 38555698777228278787859681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read OnlySMT OnSMT Off150K300K450K600K750KMin: 743976.14 / Avg: 855569.48 / Max: 1199795.02Min: 814271.71 / Avg: 877721.86 / Max: 1045383.6Min: 752776.75 / Avg: 827877.81 / Max: 1012568.93Min: 778373.73 / Avg: 785967.6 / Max: 792665.231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average LatencySMT OnSMT Off0.22910.45820.68730.91641.1455SE +/- 0.040, N = 9SE +/- 0.020, N = 12SE +/- 0.025, N = 12SE +/- 0.006, N = 30.9520.9170.9741.0181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average LatencySMT OnSMT Off246810Min: 0.67 / Avg: 0.95 / Max: 1.08Min: 0.77 / Avg: 0.92 / Max: 0.98Min: 0.79 / Avg: 0.97 / Max: 1.06Min: 1.01 / Avg: 1.02 / Max: 1.031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetSMT OnSMT Off30060090012001500SE +/- 3.81, N = 3SE +/- 8.29, N = 3SE +/- 14.23, N = 15SE +/- 11.49, N = 151422.081375.331225.411581.66
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetSMT OnSMT Off30060090012001500Min: 1414.88 / Avg: 1422.08 / Max: 1427.83Min: 1360.09 / Avg: 1375.33 / Max: 1388.62Min: 1138.49 / Avg: 1225.41 / Max: 1316.61Min: 1499.67 / Avg: 1581.66 / Max: 1638.97

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetSMT OnSMT Off400800120016002000SE +/- 1.79, N = 3SE +/- 3.13, N = 3SE +/- 15.22, N = 15SE +/- 18.22, N = 31628.801526.811770.911908.76
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetSMT OnSMT Off30060090012001500Min: 1625.25 / Avg: 1628.8 / Max: 1631.02Min: 1520.65 / Avg: 1526.81 / Max: 1530.86Min: 1670.92 / Avg: 1770.91 / Max: 1845.71Min: 1881.06 / Avg: 1908.76 / Max: 1943.1

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT OnSMT Off110220330440550SE +/- 3.39, N = 3SE +/- 0.35, N = 3SE +/- 1.69, N = 3SE +/- 5.52, N = 4504.09525.39329.22452.99
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT OnSMT Off90180270360450Min: 497.68 / Avg: 504.09 / Max: 509.2Min: 524.91 / Avg: 525.39 / Max: 526.07Min: 325.97 / Avg: 329.22 / Max: 331.68Min: 445.79 / Avg: 452.99 / Max: 469.44

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50SMT OnSMT Off306090120150SE +/- 1.07, N = 12SE +/- 1.45, N = 12SE +/- 1.70, N = 3SE +/- 0.68, N = 3118.45121.47124.98146.74
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50SMT OnSMT Off306090120150Min: 116.73 / Avg: 118.45 / Max: 130.19Min: 119.56 / Avg: 121.47 / Max: 137.45Min: 122.09 / Avg: 124.98 / Max: 127.96Min: 145.65 / Avg: 146.74 / Max: 147.98

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT OnSMT Off140280420560700SE +/- 4.74, N = 12SE +/- 5.79, N = 12SE +/- 4.51, N = 15SE +/- 6.73, N = 3416.03429.16538.52634.13
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT OnSMT Off110220330440550Min: 408.57 / Avg: 416.03 / Max: 467.84Min: 419.48 / Avg: 429.16 / Max: 492.59Min: 516.28 / Avg: 538.52 / Max: 558.56Min: 620.78 / Avg: 634.13 / Max: 642.24

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50SMT OnSMT Off4080120160200SE +/- 0.90, N = 3SE +/- 1.35, N = 3SE +/- 0.59, N = 3SE +/- 0.13, N = 3122.77123.88172.36189.40
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50SMT OnSMT Off306090120150Min: 121.87 / Avg: 122.77 / Max: 124.57Min: 122.45 / Avg: 123.88 / Max: 126.57Min: 171.27 / Avg: 172.36 / Max: 173.29Min: 189.2 / Avg: 189.4 / Max: 189.65

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.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 373.3896.97139.66182.45
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off306090120150Min: 72.87 / Avg: 73.38 / Max: 73.67Min: 96.85 / Avg: 96.97 / Max: 97.15Min: 139.36 / Avg: 139.66 / Max: 139.85Min: 182.34 / Avg: 182.45 / Max: 182.58

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.02, N = 3859.87644.98902.86676.81
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off160320480640800Min: 859.64 / Avg: 859.87 / Max: 860.11Min: 644.76 / Avg: 644.98 / Max: 645.29Min: 902.36 / Avg: 902.86 / Max: 903.28Min: 676.77 / Avg: 676.81 / Max: 676.85

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off6001200180024003000SE +/- 1.21, N = 3SE +/- 3.84, N = 3SE +/- 6.95, N = 3SE +/- 33.47, N = 151376.211780.442627.312730.50
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off5001000150020002500Min: 1374.35 / Avg: 1376.21 / Max: 1378.5Min: 1774.35 / Avg: 1780.44 / Max: 1787.54Min: 2616.31 / Avg: 2627.31 / Max: 2640.16Min: 2497.03 / Avg: 2730.5 / Max: 2961.2

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1122334455SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.57, N = 1546.4335.5548.6245.88
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1020304050Min: 46.35 / Avg: 46.43 / Max: 46.48Min: 35.38 / Avg: 35.55 / Max: 35.72Min: 48.39 / Avg: 48.62 / Max: 48.82Min: 42.17 / Avg: 45.88 / Max: 50.1

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off130260390520650SE +/- 7.96, N = 15SE +/- 8.20, N = 15SE +/- 6.10, N = 15SE +/- 11.89, N = 15240.87246.37556.94590.88
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off100200300400500Min: 223.54 / Avg: 240.87 / Max: 343.89Min: 230.35 / Avg: 246.37 / Max: 357.1Min: 538.61 / Avg: 556.94 / Max: 632.45Min: 541.47 / Avg: 590.88 / Max: 710.54

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off60120180240300SE +/- 6.66, N = 15SE +/- 6.30, N = 15SE +/- 2.29, N = 15SE +/- 3.96, N = 15267.71259.28229.16212.68
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off50100150200250Min: 185.41 / Avg: 267.71 / Max: 285.21Min: 177.04 / Avg: 259.28 / Max: 274.27Min: 201.39 / Avg: 229.16 / Max: 236.59Min: 175.91 / Avg: 212.68 / Max: 231.11

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.46, N = 3SE +/- 5.07, N = 15SE +/- 0.32, N = 3SE +/- 0.90, N = 3417.12504.36797.621058.68
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000Min: 416.27 / Avg: 417.12 / Max: 417.84Min: 493.02 / Avg: 504.36 / Max: 559.98Min: 797.19 / Avg: 797.62 / Max: 798.25Min: 1056.88 / Avg: 1058.68 / Max: 1059.73

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.16, N = 3SE +/- 1.18, N = 15SE +/- 0.05, N = 3SE +/- 0.10, N = 3152.99125.45159.89118.13
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off306090120150Min: 152.74 / Avg: 152.99 / Max: 153.28Min: 112.71 / Avg: 125.45 / Max: 128.15Min: 159.79 / Avg: 159.89 / Max: 159.98Min: 117.95 / Avg: 118.13 / Max: 118.29

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off5001000150020002500SE +/- 0.74, N = 3SE +/- 5.02, N = 3SE +/- 1.60, N = 3SE +/- 1.63, N = 3968.631275.771868.332409.80
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off400800120016002000Min: 967.57 / Avg: 968.63 / Max: 970.05Min: 1269.19 / Avg: 1275.77 / Max: 1285.63Min: 1865.16 / Avg: 1868.33 / Max: 1870.28Min: 2407.04 / Avg: 2409.8 / Max: 2412.69

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1530456075SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 365.9749.5168.3651.81
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1326395265Min: 65.89 / Avg: 65.97 / Max: 66.05Min: 49.11 / Avg: 49.51 / Max: 49.74Min: 68.27 / Avg: 68.36 / Max: 68.48Min: 51.75 / Avg: 51.81 / Max: 51.89

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off30060090012001500SE +/- 0.29, N = 3SE +/- 3.93, N = 3SE +/- 1.02, N = 3SE +/- 1.38, N = 3624.48812.101190.721541.95
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off30060090012001500Min: 624.02 / Avg: 624.48 / Max: 625.02Min: 804.95 / Avg: 812.1 / Max: 818.52Min: 1188.75 / Avg: 1190.72 / Max: 1192.13Min: 1539.54 / Avg: 1541.95 / Max: 1544.32

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off20406080100SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3102.2377.81107.1881.20
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off20406080100Min: 102.15 / Avg: 102.23 / Max: 102.3Min: 77.21 / Avg: 77.81 / Max: 78.48Min: 107.07 / Avg: 107.18 / Max: 107.31Min: 81.11 / Avg: 81.2 / Max: 81.28

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off60120180240300SE +/- 0.15, N = 3SE +/- 2.61, N = 15SE +/- 0.12, N = 3SE +/- 2.51, N = 3126.93134.57242.96290.76
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off50100150200250Min: 126.66 / Avg: 126.93 / Max: 127.19Min: 126.69 / Avg: 134.57 / Max: 159.51Min: 242.72 / Avg: 242.96 / Max: 243.1Min: 287.32 / Avg: 290.76 / Max: 295.64

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off110220330440550SE +/- 0.68, N = 3SE +/- 8.17, N = 15SE +/- 0.26, N = 3SE +/- 3.79, N = 3499.59468.78521.31426.74
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off90180270360450Min: 498.25 / Avg: 499.59 / Max: 500.51Min: 392.98 / Avg: 468.78 / Max: 496.26Min: 520.96 / Avg: 521.31 / Max: 521.81Min: 419.23 / Avg: 426.74 / Max: 431.39

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off170340510680850SE +/- 1.02, N = 3SE +/- 2.15, N = 3SE +/- 0.72, N = 3SE +/- 0.92, N = 3316.05404.23602.26770.14
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off140280420560700Min: 314.68 / Avg: 316.05 / Max: 318.04Min: 400.76 / Avg: 404.23 / Max: 408.16Min: 600.87 / Avg: 602.26 / Max: 603.3Min: 768.31 / Avg: 770.14 / Max: 771.07

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off50100150200250SE +/- 0.54, N = 3SE +/- 0.81, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3201.63156.06211.48162.02
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200Min: 200.56 / Avg: 201.63 / Max: 202.21Min: 154.6 / Avg: 156.06 / Max: 157.38Min: 211.27 / Avg: 211.48 / Max: 211.84Min: 161.84 / Avg: 162.02 / Max: 162.15

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 373.2197.09139.88182.60
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off306090120150Min: 72.72 / Avg: 73.21 / Max: 73.55Min: 96.98 / Avg: 97.09 / Max: 97.17Min: 139.73 / Avg: 139.88 / Max: 139.99Min: 182.33 / Avg: 182.6 / Max: 182.95

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.49, N = 3SE +/- 0.12, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3859.88645.00902.78676.43
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off160320480640800Min: 859.29 / Avg: 859.88 / Max: 860.84Min: 644.87 / Avg: 645 / Max: 645.24Min: 901.88 / Avg: 902.78 / Max: 903.34Min: 676.02 / Avg: 676.43 / Max: 676.71

Blender

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlySMT OnSMT Off48121620SE +/- 0.02, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 6SE +/- 0.05, N = 512.7715.157.128.45
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlySMT OnSMT Off48121620Min: 12.72 / Avg: 12.77 / Max: 12.82Min: 15.05 / Avg: 15.15 / Max: 15.27Min: 7.06 / Avg: 7.12 / Max: 7.17Min: 8.36 / Avg: 8.45 / Max: 8.66

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlySMT OnSMT Off918273645SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 331.1238.4416.2820.24
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlySMT OnSMT Off816243240Min: 31.03 / Avg: 31.12 / Max: 31.16Min: 38.39 / Avg: 38.44 / Max: 38.52Min: 16.22 / Avg: 16.28 / Max: 16.34Min: 20.16 / Avg: 20.24 / Max: 20.3

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlySMT OnSMT Off510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 5SE +/- 0.04, N = 416.4920.479.8711.72
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlySMT OnSMT Off510152025Min: 16.38 / Avg: 16.49 / Max: 16.6Min: 20.37 / Avg: 20.47 / Max: 20.56Min: 9.81 / Avg: 9.87 / Max: 9.95Min: 11.63 / Avg: 11.72 / Max: 11.84

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlySMT OnSMT Off306090120150SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3116.54147.2269.0385.54
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlySMT OnSMT Off306090120150Min: 116.31 / Avg: 116.54 / Max: 116.67Min: 147.01 / Avg: 147.22 / Max: 147.56Min: 68.71 / Avg: 69.03 / Max: 69.38Min: 85.43 / Avg: 85.54 / Max: 85.69

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlySMT OnSMT Off1122334455SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 339.2750.0121.7527.47
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlySMT OnSMT Off1020304050Min: 39.11 / Avg: 39.27 / Max: 39.36Min: 49.74 / Avg: 50.01 / Max: 50.2Min: 21.6 / Avg: 21.75 / Max: 21.84Min: 27.36 / Avg: 27.47 / Max: 27.64

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 360.7762.18121.03121.081. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off20406080100Min: 60.74 / Avg: 60.77 / Max: 60.81Min: 62.17 / Avg: 62.18 / Max: 62.19Min: 120.96 / Avg: 121.03 / Max: 121.12Min: 121.06 / Avg: 121.08 / Max: 121.121. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off2004006008001000SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.28, N = 31049.31513.23526.98526.461. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off2004006008001000Min: 1049.24 / Avg: 1049.31 / Max: 1049.41Min: 513.09 / Avg: 513.23 / Max: 513.33Min: 526.63 / Avg: 526.98 / Max: 527.24Min: 525.91 / Avg: 526.46 / Max: 526.811. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off918273645SE +/- 0.20, N = 12SE +/- 0.23, N = 9SE +/- 0.14, N = 3SE +/- 0.29, N = 326.6128.7440.6741.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off918273645Min: 26.2 / Avg: 26.61 / Max: 28.75Min: 28.32 / Avg: 28.74 / Max: 30.44Min: 40.42 / Avg: 40.67 / Max: 40.91Min: 40.62 / Avg: 41.05 / Max: 41.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off5001000150020002500SE +/- 16.41, N = 12SE +/- 8.36, N = 9SE +/- 4.07, N = 3SE +/- 10.43, N = 32377.791105.961559.951545.231. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off400800120016002000Min: 2200.85 / Avg: 2377.79 / Max: 2413.38Min: 1044.6 / Avg: 1105.96 / Max: 1121.14Min: 1552.77 / Avg: 1559.95 / Max: 1566.85Min: 1525.11 / Avg: 1545.23 / Max: 1560.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off918273645SE +/- 0.15, N = 15SE +/- 0.29, N = 5SE +/- 0.22, N = 3SE +/- 0.14, N = 326.5728.8340.9040.201. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off918273645Min: 26.26 / Avg: 26.57 / Max: 28.62Min: 28.41 / Avg: 28.83 / Max: 29.97Min: 40.52 / Avg: 40.9 / Max: 41.28Min: 39.92 / Avg: 40.2 / Max: 40.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off5001000150020002500SE +/- 12.47, N = 15SE +/- 10.77, N = 5SE +/- 8.82, N = 3SE +/- 4.61, N = 32378.071102.821552.151579.141. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off400800120016002000Min: 2206.2 / Avg: 2378.07 / Max: 2404.93Min: 1060.16 / Avg: 1102.82 / Max: 1118.84Min: 1536.5 / Avg: 1552.15 / Max: 1567.04Min: 1573.46 / Avg: 1579.14 / Max: 1588.261. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off13002600390052006500SE +/- 21.50, N = 14SE +/- 25.69, N = 13SE +/- 93.68, N = 15SE +/- 87.31, N = 131464.292784.675810.416242.681. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off11002200330044005500Min: 1419.29 / Avg: 1464.29 / Max: 1738.62Min: 2724.09 / Avg: 2784.67 / Max: 3086.52Min: 5617.04 / Avg: 5810.41 / Max: 7099.08Min: 6061.1 / Avg: 6242.68 / Max: 7280.181. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off1020304050SE +/- 0.55, N = 14SE +/- 0.10, N = 13SE +/- 0.15, N = 15SE +/- 0.12, N = 1343.7311.4911.0310.261. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off918273645Min: 36.74 / Avg: 43.73 / Max: 45.01Min: 10.35 / Avg: 11.49 / Max: 11.73Min: 9 / Avg: 11.03 / Max: 11.38Min: 8.78 / Avg: 10.26 / Max: 10.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off50100150200250SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3117.88119.01235.65235.371. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off4080120160200Min: 117.82 / Avg: 117.88 / Max: 117.95Min: 118.98 / Avg: 119.01 / Max: 119.05Min: 235.49 / Avg: 235.65 / Max: 235.81Min: 235.27 / Avg: 235.37 / Max: 235.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off120240360480600SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3541.29268.82270.93271.241. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off100200300400500Min: 541.12 / Avg: 541.29 / Max: 541.41Min: 268.71 / Avg: 268.82 / Max: 268.89Min: 270.8 / Avg: 270.93 / Max: 271.01Min: 271.14 / Avg: 271.24 / Max: 271.351. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off3K6K9K12K15KSE +/- 103.73, N = 15SE +/- 3.11, N = 3SE +/- 7.09, N = 3SE +/- 2.74, N = 35311.486744.6613214.2013141.511. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off2K4K6K8K10KMin: 5064.62 / Avg: 5311.48 / Max: 6661.38Min: 6740.02 / Avg: 6744.66 / Max: 6750.56Min: 13205.44 / Avg: 13214.2 / Max: 13228.25Min: 13138.12 / Avg: 13141.51 / Max: 13146.931. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off3691215SE +/- 0.20, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 312.074.744.834.861. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off48121620Min: 9.59 / Avg: 12.07 / Max: 12.6Min: 4.73 / Avg: 4.74 / Max: 4.74Min: 4.83 / Avg: 4.83 / Max: 4.83Min: 4.85 / Avg: 4.86 / Max: 4.861. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KSE +/- 0.58, N = 3SE +/- 11.25, N = 3SE +/- 9.34, N = 3SE +/- 2.58, N = 36067.785837.6211299.3211373.951. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KMin: 6066.62 / Avg: 6067.78 / Max: 6068.49Min: 5818.78 / Avg: 5837.62 / Max: 5857.7Min: 11281.81 / Avg: 11299.32 / Max: 11313.73Min: 11370.76 / Avg: 11373.95 / Max: 11379.051. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.535.475.645.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off3691215Min: 10.53 / Avg: 10.53 / Max: 10.53Min: 5.45 / Avg: 5.47 / Max: 5.49Min: 5.64 / Avg: 5.64 / Max: 5.65Min: 5.61 / Avg: 5.61 / Max: 5.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off30060090012001500SE +/- 6.51, N = 15SE +/- 4.46, N = 15SE +/- 7.44, N = 3SE +/- 4.51, N = 3582.08545.131159.991174.991. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off2004006008001000Min: 564.62 / Avg: 582.08 / Max: 658Min: 531.41 / Avg: 545.13 / Max: 595.26Min: 1145.43 / Avg: 1159.99 / Max: 1169.89Min: 1167 / Avg: 1174.99 / Max: 1182.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off20406080100SE +/- 1.12, N = 15SE +/- 0.45, N = 15SE +/- 0.35, N = 3SE +/- 0.21, N = 3110.0058.7155.1254.421. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off20406080100Min: 97.18 / Avg: 110 / Max: 113.23Min: 53.72 / Avg: 58.71 / Max: 60.17Min: 54.65 / Avg: 55.12 / Max: 55.81Min: 54.07 / Avg: 54.42 / Max: 54.791. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off5K10K15K20K25KSE +/- 2.13, N = 3SE +/- 13.11, N = 3SE +/- 16.03, N = 3SE +/- 15.58, N = 311794.3211710.5922954.4422955.641. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off4K8K12K16K20KMin: 11791.82 / Avg: 11794.32 / Max: 11798.56Min: 11697.14 / Avg: 11710.59 / Max: 11736.81Min: 22922.71 / Avg: 22954.44 / Max: 22974.28Min: 22924.48 / Avg: 22955.64 / Max: 22971.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.8410.9111.0011.101. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off3691215Min: 10.84 / Avg: 10.84 / Max: 10.84Min: 10.88 / Avg: 10.91 / Max: 10.92Min: 11 / Avg: 11 / Max: 11.01Min: 11.09 / Avg: 11.1 / Max: 11.111. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KSE +/- 48.86, N = 15SE +/- 5.00, N = 3SE +/- 11.31, N = 3SE +/- 10.15, N = 36148.895118.299889.619878.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KMin: 5963.92 / Avg: 6148.89 / Max: 6579.24Min: 5109.54 / Avg: 5118.29 / Max: 5126.86Min: 9867.93 / Avg: 9889.61 / Max: 9906.05Min: 9858.65 / Avg: 9878.88 / Max: 9890.461. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off3691215SE +/- 0.08, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.406.246.466.471. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off3691215Min: 9.71 / Avg: 10.4 / Max: 10.72Min: 6.23 / Avg: 6.24 / Max: 6.25Min: 6.45 / Avg: 6.46 / Max: 6.47Min: 6.46 / Avg: 6.47 / Max: 6.481. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off40K80K120K160K200KSE +/- 390.62, N = 3SE +/- 202.90, N = 3SE +/- 676.62, N = 3SE +/- 158.47, N = 3120515.11113162.29168372.89142135.581. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off30K60K90K120K150KMin: 119875.09 / Avg: 120515.11 / Max: 121223.11Min: 112916.46 / Avg: 113162.29 / Max: 113564.82Min: 167350.19 / Avg: 168372.89 / Max: 169651.7Min: 141829.04 / Avg: 142135.58 / Max: 142358.571. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off0.18680.37360.56040.74720.934SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.830.700.620.671. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off246810Min: 0.83 / Avg: 0.83 / Max: 0.84Min: 0.69 / Avg: 0.7 / Max: 0.7Min: 0.62 / Avg: 0.62 / Max: 0.62Min: 0.66 / Avg: 0.67 / Max: 0.671. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off30K60K90K120K150KSE +/- 192.97, N = 3SE +/- 126.57, N = 3SE +/- 602.14, N = 3SE +/- 420.06, N = 385400.8871673.85133931.53118225.551. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off20K40K60K80K100KMin: 85165.48 / Avg: 85400.88 / Max: 85783.43Min: 71441.15 / Avg: 71673.85 / Max: 71876.48Min: 132727.25 / Avg: 133931.53 / Max: 134536.03Min: 117492.79 / Avg: 118225.55 / Max: 118947.821. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off0.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.211.301.081.131. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off246810Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 1.29 / Avg: 1.3 / Max: 1.3Min: 1.08 / Avg: 1.08 / Max: 1.08Min: 1.12 / Avg: 1.13 / Max: 1.131. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilySMT OnSMT Off4080120160200122.59123.30164.57159.91

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialSMT OnSMT Off102030405044.3038.4940.57

Scene: Disney Material

EPYC 9754 2P: SMT On: The test run did not produce a result.

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterSMT OnSMT Off60120180240300166.68167.90265.89

Scene: Material Tester

EPYC 9754 2P: SMT On: The test run did not produce a result.

CPU Power Consumption Monitor

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringSMT OnSMT Off140280420560700Min: 10.52 / Avg: 248.93 / Max: 397.25Min: 10.61 / Avg: 238.75 / Max: 362.1Min: 21.61 / Avg: 460.57 / Max: 792.38Min: 97.83 / Avg: 446.01 / Max: 702.85

154 Results Shown

NAS Parallel Benchmarks:
  BT.C
  CG.C
  EP.D
  FT.C
  IS.D
  LU.C
  MG.C
miniFE
NAS Parallel Benchmarks:
  SP.B
  SP.C
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
CloverLeaf
CP2K Molecular Dynamics
NAMD
toyBrot Fractal Generator:
  TBB
  OpenMP
libxsmm:
  128
  256
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - float - 512
  r2c - FFTW - float - 512
  c2c - FFTW - double - 512
  r2c - FFTW - double - 512
SPECFEM3D:
  Mount St. Helens
  Layered Halfspace
  Tomographic Model
  Homogeneous Halfspace
  Water-layered Halfspace
nekRS:
  Kershaw
  TurboPipe Periodic
Xmrig:
  Monero - 1M
  Wownero - 1M
srsRAN Project
John The Ripper:
  bcrypt
  WPA PSK
  Blowfish
  MD5
LuxCoreRender:
  DLSC - CPU
  Orange Juice - CPU
  LuxCore Benchmark - CPU
  Rainbow Colors and Prism - CPU
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
OpenVKL
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
7-Zip Compression:
  Compression Rating
  Decompression Rating
Stockfish
Timed Gem5 Compilation
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Node.js Compilation
Primesieve:
  1e12
  1e13
OSPRay Studio:
  1 - 4K - 1 - Path Tracer
  2 - 4K - 1 - Path Tracer
  3 - 4K - 1 - Path Tracer
  1 - 4K - 16 - Path Tracer
  1 - 4K - 32 - Path Tracer
  2 - 4K - 16 - Path Tracer
  2 - 4K - 32 - Path Tracer
  3 - 4K - 16 - Path Tracer
  3 - 4K - 32 - Path Tracer
Helsing
Aircrack-ng
OpenSSL:
  SHA256
  SHA512
  RSA4096
  RSA4096
  ChaCha20
  AES-128-GCM
  AES-256-GCM
  ChaCha20-Poly1305
Liquid-DSP:
  256 - 256 - 512
  512 - 256 - 512
ASTC Encoder:
  Fast
  Thorough
  Exhaustive
Graph500:
  26:
    bfs median_TEPS
    bfs max_TEPS
    sssp median_TEPS
    sssp max_TEPS
MariaDB:
  2048
  4096
PostgreSQL:
  1000 - 800 - Read Only
  1000 - 800 - Read Only - Average Latency
TensorFlow:
  CPU - 256 - AlexNet
  CPU - 512 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 512 - GoogLeNet
  CPU - 512 - ResNet-50
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Appleseed:
  Emily
  Disney Material
  Material Tester
CPU Power Consumption Monitor