AMD EPYC 9554 EPYC 9654 Benchmarks Genoa

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Date
Run
  Test
  Duration
EPYC 9654 2P
October 15 2022
  3 Hours, 46 Minutes
EPYC 9654 2P Repeat
October 15 2022
  2 Hours, 13 Minutes
EPYC 9654 2P - Perf M
October 15 2022
  2 Hours, 16 Minutes
EPYC 9654
October 15 2022
  2 Hours, 19 Minutes
EPYC 9654 Repeat
October 15 2022
  2 Hours, 20 Minutes
EPYC 9654 Power
October 16 2022
  2 Hours, 15 Minutes
9654 Power
October 17 2022
  2 Hours, 5 Minutes
AMD EPYC 75F3 32-Core
October 29 2022
  11 Hours, 39 Minutes
75F32
October 30 2022
  11 Hours, 50 Minutes
9554 TwoP
November 01 2022
  4 Hours, 1 Minute
EPYC 9554
November 03 2022
  1 Hour, 15 Minutes
8380 2p
November 05 2022
  6 Hours, 45 Minutes
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  4 Hours, 24 Minutes

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AMD EPYC 9554 EPYC 9654 Benchmarks GenoaProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads)AMD Titanite_4G (RTI1002E BIOS)AMD Device 14a41520GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVGA HDMIBroadcom NetXtreme BCM5720 PCIeUbuntu 22.106.0.0-060000rc3daily20220904-generic (x86_64)GNOME ShellX Server 1.21.1.31.3.211GCC 12.2.0ext41920x1080AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads)768GBAMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GBVE2282 x Mellanox MT277102 x AMD EPYC 9554 64-Core @ 3.76GHz (128 Cores / 256 Threads)AMD Titanite_4G (RTI1002E BIOS)AMD Device 14a41520GBVGA HDMIBroadcom NetXtreme BCM5720 PCIeAMD EPYC 9554 64-Core @ 3.76GHz (64 Cores / 128 Threads)768GB2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Ice Lake IEH512GBVE2282 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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- EPYC 9654 2P: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9654 2P Repeat: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9654 2P - Perf M: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9654: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9654 Repeat: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9654 Power: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- 9654 Power: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- AMD EPYC 75F3 32-Core: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173- 75F32: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173- 9554 TwoP: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- EPYC 9554: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110d- 8380 2p: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd000375Java Details- EPYC 9654 2P, AMD EPYC 75F3 32-Core, 75F32, 9554 TwoP, EPYC 9554, 8380 2p: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu1)Python Details- Python 3.10.6Security Details- EPYC 9654 2P: 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 9654 2P Repeat: 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 9654 2P - Perf M: 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 9654: 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 9654 Repeat: 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 9654 Power: 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- 9654 Power: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- AMD EPYC 75F3 32-Core: 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- 75F32: 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- 9554 TwoP: 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 9554: 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- 8380 2p: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2pLogarithmic Result OverviewPhoronix Test SuiteTensorFlow7-Zip CompressionTimed Linux Kernel CompilationTimed Node.js CompilationY-CruncherOpenFOAMx264Timed Godot Game Engine CompilationOpenRadiosslibavif avifencx265JPEG XL Decoding libjxlTimed Mesa CompilationJPEG XL libjxl

AMD EPYC 9554 EPYC 9654 Benchmarks Genoacpuminer-opt: LBC, LBRY Creditstensorflow: CPU - 256 - AlexNetstress-ng: Socket Activitydeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamtensorflow: CPU - 32 - VGG-16tensorflow: CPU - 512 - GoogLeNetdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamstress-ng: MMAPcpuminer-opt: Ringcointensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 16 - VGG-16deepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamcpuminer-opt: scrypttensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 64 - AlexNetdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamopenfoam: drivaerFastback, Medium Mesh Size - Execution Timestress-ng: CPU Cachecpuminer-opt: Quad SHA-256, Pyriteblender: Classroom - CPU-Onlycpuminer-opt: Blake-2 Sblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlycpuminer-opt: Skeincoinblender: BMW27 - CPU-Onlycompress-7zip: Decompression Ratingtensorflow: CPU - 32 - AlexNetstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsblender: Fishy Cat - CPU-Onlytensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - GoogLeNetstress-ng: Matrix Mathtensorflow: CPU - 16 - AlexNetcpuminer-opt: x25xstress-ng: Cryptocpuminer-opt: Magistress-ng: CPU Stressstress-ng: Mutexstress-ng: Mallocstress-ng: Vector Mathstress-ng: SENDFILEdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamstress-ng: Forkingcpuminer-opt: Triple SHA-256, Onecoinbuild-linux-kernel: allmodconfigtensorflow: CPU - 32 - ResNet-50cpuminer-opt: Deepcoinhammerdb-mariadb: 64 - 500hammerdb-mariadb: 64 - 500hammerdb-mariadb: 64 - 250xmrig: Wownero - 1Mhammerdb-mariadb: 64 - 250stress-ng: Context Switchingstress-ng: MEMFDtensorflow: CPU - 32 - GoogLeNetcompress-7zip: Compression Ratingxmrig: Monero - 1Mstress-ng: Memory Copyingtensorflow: CPU - 16 - ResNet-50stress-ng: Semaphorestensorflow: CPU - 16 - GoogLeNetopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenradioss: Rubber O-Ring Seal Installationdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamopenradioss: INIVOL and Fluid Structure Interaction Drop Containerstress-ng: Futexbuild-nodejs: Time To Compiledeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamopenradioss: Cell Phone Drop Testdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamy-cruncher: 1By-cruncher: 500Mx264: Bosphorus 4Kbuild-linux-kernel: defconfigspacy: en_core_web_trfdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamcpuminer-opt: Garlicointensorflow: CPU - 512 - VGG-16tensorflow: CPU - 256 - VGG-16cpuminer-opt: Myriad-Groestltensorflow: CPU - 512 - AlexNettensorflow: CPU - 64 - VGG-16openradioss: Bird Strike on Windshielddeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamhbase: 10000 - Rand Read - 256build-godot: Time To Compileopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timesmhasher: t1ha0_aes_avx2 x86_64openfoam: drivaerFastback, Small Mesh Size - Mesh Timestress-ng: Atomicdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamhbase: 10000 - Increment - 1avifenc: 6avifenc: 6, Losslesshbase: 10000 - Increment - 1hbase: 10000 - Rand Read - 256deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamavifenc: 10, Losslessjpegxl: PNG - 100hbase: 1000000 - Rand Read - 1openfoam: motorBike - Execution Timehbase: 1000000 - Rand Read - 1x265: Bosphorus 4Kjpegxl-decode: Allhbase: 10000 - Rand Write - 256deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamstress-ng: System V Message Passingjpegxl: JPEG - 100x264: Bosphorus 1080pjpegxl-decode: 1x265: Bosphorus 1080pstress-ng: NUMAdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streambuild-mesa: Time To Compilehbase: 10000 - Rand Read - 1avifenc: 2hbase: 10000 - Rand Read - 1hbase: 10000 - Increment - 256openradioss: Bumper Beamffmpeg: libx265 - Platformffmpeg: libx265 - Platformjpegxl: JPEG - 90hbase: 1000000 - Increment - 1smhasher: t1ha2_atonceavifenc: 0jpegxl: PNG - 80jpegxl: JPEG - 80hbase: 1000000 - Increment - 1jpegxl: PNG - 90ffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadsmhasher: wyhashsmhasher: fasthash32smhasher: SHA3-256smhasher: MeowHash x86_64 AES-NIsmhasher: Spooky32smhasher: FarmHash128smhasher: FarmHash32 x86_64 AVXhbase: 10000 - Rand Read - 500hammerdb-mariadb: 64 - 100hammerdb-mariadb: 64 - 100spacy: en_core_web_lghbase: 10000 - Rand Read - 500ffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx264 - Liveffmpeg: libx264 - Liveffmpeg: libx264 - Uploadffmpeg: libx264 - Uploadhbase: 10000 - Increment - 256hbase: 10000 - Increment - 500ffmpeg: libx265 - Liveffmpeg: libx265 - Liveclickhouse: 100M Rows Web Analytics Dataset, Second Runhbase: 10000 - Rand Write - 1clickhouse: 100M Rows Web Analytics Dataset, Third Runhbase: 10000 - Rand Write - 256hbase: 10000 - Rand Write - 1stress-ng: IO_uringclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cachehbase: 1000000 - Increment - 256hbase: 1000000 - Increment - 256hbase: 10000 - Increment - 500hbase: 1000000 - Increment - 500hbase: 1000000 - Increment - 500hbase: 1000000 - Scan - 256hbase: 1000000 - Scan - 1hbase: 10000 - Scan - 1smhasher: MeowHash x86_64 AES-NIsmhasher: t1ha0_aes_avx2 x86_64smhasher: FarmHash32 x86_64 AVXsmhasher: t1ha2_atoncesmhasher: FarmHash128smhasher: fasthash32smhasher: Spooky32smhasher: SHA3-256smhasher: wyhashEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p1279.03836.988660.45441.712227.4198147.32322.2341967.2269111.54475.541318.3224663.579107.8582617.6522.8872.867.531323090296.2910.5657.85157.71153.2998.040897.4788100.4139.57108.5694057421.5162.4419.919399124.5175.695.54116.8710.1544.925104.7719.7252515122.13111.051672.8981.58208.98114.3987964.8329974.015327033.863133.96745102425.2724.84760243.01121812.4225.3235319388592144.04594.3220.8551792522.94275.9772.63230.7348.5399.026520.08914234.654669886476.49.236920135.263.5629.579.29143459.4831218.058803.42216.0154190.5420577.1521167.1739795.994681348133948215524615993625907199312710514942945.1120.47226.38720.09747.82822.07626.8551829.79813.9881326.14840.23459.82443.932244.1857147.82327.4740.06982.4985110.01545.591320.4156671.4008104.2302717.7523.2872.787.471309354286.4510.4659.49166.76161.4197.285697.6967100.52540.61108.9493094622.4862.6919.631093126.019.866101.302176.1595.4255.0334198.499117.0627.290236.63327.213336.736410.134.947104.5619.65824615.1748193.0775123.2113.241669.8779.43208.25113.97725.2274191.206811.345688.0745969.4243966.601533.335118.67648101829.925.53952742.62582.4155.21142.57914.2880.795.9805224.3275.7572.5440.7265.9648.5172.7697.501820.13134.52675.769.0519789.9663.1089.499.329.4731247.368803.35216.0254192.2220580.2821167.4839794.951346745.1120.47226.38720.09747.82522.07727.6171829.04313.9681198.78763.182755.34437.651949.0047145.44320.9940.86858.8745108.07535.771195.8283616.4604112.6945120.1125.6781.918.471176187289.6511.5158.76168.86160.484.479884.2018108.58439.86108.7190831222.2963.0523.083579131.1110.030699.637282.5298.3025.2709189.530818.6429.407333.994928.974534.503610.1644.98365.3720.48625855.4359183.7787110.75104.391587.0575.72216.62125.40965.2827189.206211.750285.0441132.37751131.689133.419141.1001102396.4627.07822149.14092.4225.241155.29564.2440.85.9018122.86284.1980.09480.73200.6549.0270.5111.482120.0135.07482.839.2820135.1463.0789.689.299.6231248.918803.4216.1554144.8520576.7721167.2939795.431341545.11420.47226.38720.09747.82922.07826.6621829.20714.2151258.48402.57457.61530.051010.1033165473.451.31449.3802146.3834.42625.932318.5908246.878438.6748.75143.4215.69652935581.1720.3899.93295.82360.1843.005142.2142173.49476.17227.8867734252.44130.4729.73861568.049.8478101.5028103.31122.9115.2151191.606122.9928.10435.574828.019335.68186.5163.96965.824.51932345.2236191.324469.5766.421373.0261.53120.27119.05255.2064191.995311.465187.17751115.49631110.003733.124119.71925102376.0323.91939947.47462.295.161150.60574.1240.824.30131.16317.8376.64330.77211.749.7891.88106.551820.7533.7573.399.5720134.6962.2999.959.689.931198.528803.52216.0854220.2320581.5521167.6439796.131355145.1120.47226.38720.09747.82522.07726.7031829.74913.9681257.65400.729357.45529.621008.1787164.66471.9251.6444.9684146.45838.94624.2323316.9094246.8270238.7149.15143.5615.43653127580.9720.83100.91310.69358.8242.988443.1327174.42675.61225.0667319852.44144.3828.79171566.599.8059101.9321104.23122.7495.212191.721722.7328.215835.434128.092835.58866.543.959109.7424.6333075.2613189.925869.5466.491369.5461.54121.04119.53595.1744193.185611.406287.62561115.90131112.484633.399131.63939102315.3726.38931247.53772.3215.226151.37054.4270.824.3512231.32316.4776.84880.73265.7749.8391.8107.66820.82833.83577.939.5820135.1962.2749.949.689.8731201.28775.9211.8254212.9620582.5721166.2139795.041351745.11220.47226.38720.09747.82522.07726.6631871.00413.9681331.08424.433560.63558.921127.3599172.75495.4453.71497.6848150.26870.59662.79337.0033237.4959733.6343.61127.4514737688599.9818.21100.8316.07366.7348.840949.0518157.73477.29214.9871764753.4145.1124.50917361.499.77102.307490.53117.065.0333198.520820.4526.669737.487626.806337.29686.473.87265.523.19531865.1375194.499473.6570.931467.7165.62113.86112.88845.2442190.616411.206489.1886971.9156972.479732.438113.75167102400.9523.77435742.52172.3115.083142.10024.0780.824.35231.57318.972.3310.73221.2549.7193.5496.226420.39833.770.829.6220135.1761.7319.959.79.931197.928802.19216.1354202.2720582.7921168.0139795.021352745.11220.47726.38720.09747.82522.0826.6831830.33613.9681332.68426.363361.12557.521131.4819172.84495.3553.84499.0893149.71866.54666.0508339.5245240.3849533.5543.73127.7813.73739434600.3118.14100.73305.7367.1448.856648.9538157.45576.4922971957952.97144.1525.75680961.5190.38117.30920.256.3543.91766.623.248331473.8670.841461.665.84111.68112.4239970.5421972.119232.76111.2760410239425.70776842.36452.2975.227141.03424.0990.8131.33320.1672.01020.7450.795.968620.49633.77169.939.6420135.162.03710.059.779.9831245.478803.73216.0854175.0820577.0121167.1139794.111352645.10620.47226.38720.09747.82422.07927.6171829.02813.98489790148.1252568.4498.97387.7666.93268.728508.453864.5622.8165.837.41136.3518554.9922.08129.35201.3251102.8223662.5032588.14285840106.781493100131.98417.1228734041.47247362113.41434.575593873.252.1520.6464.47141942.9592.211399.5955423.941432.9885344.0418586817.03140011498.66202508.2645248.6824.167324.226980179.88645080390.84620.113177025865.214657098.151076.6865.2828057224698.16643.9518.536533513.1657.6756.4490168.2325.478139.2348197.462573853.71230.15311.71685.31738.5361.328816.303761.439416.274414.5057.15159.0141.343189410.46795.48444386.98.398.325323.29155.167.99143.06161.22696.9821143.165619.739150.6446658.3907658.974537752.216140.0479727.369771160435.9859.47342373.2656.5364097298877155.25894.7250.75544.667411821628.64332.7336779679.34718704140.320.69205.0547.484.07926.64117.10526.15118640.949518998191.019.517477.92910.029.59133419.86529136543068691418251821402.4134387.0219532695467389.93376.512062123070154170435211398389690148.2852321.4798.94577.866.56269.3961511.983795.4322.6165.337.4136.5358554.8821.95129.43200.8362102.1985664.54696100.49286410106.731476790130.92418.9128734041.41247381112.33432.85591675.7752.2320.5265.21141780.3193.371398.4755510.141433.685478.8818679911.5139310693.59202547.6648949.2824.097324.116580711.89644780393.15319.973176025841.114724434.091078.6965.5327756824506.86634.2418.56558615.4358.2756.2467768.4725.592539.0595197.962708005.03230.01511.704285.402138.9661.428916.277461.258616.322414.4627.11873.9741.401187310.557494.67422988.418.398.3369090154.558141.83161.35266.9796143.216419.84450.378660.7807660.989544552.07138.8770928.369974165666.6559.33012673.3046.6513631266084156.19344.9450.75764.666761310828.73320.1650787779.538711498.670.71217.7546.784.18925.07117.018826.31918941.0245071113992.19.339077.8489.779.45110719.68589136442789411299411702401.9934383.6718712702767158.17377.332026125256153938440911252758887584131234237538546301366.7179908.39629.905365.82494.21608.98914187.21591.17163.93378.9650.73709.16533939.46127.49645.23997.8874511.6331129.8374933.95179580024.2865989032.0497.1216318309.93945724387.922210.092808127113.669.01194.59683986.91219.456438.59250785.926463.85366719.7777897090.19576947450.43832532.652643264.3370.210768.568923702560590113.86246.7512279026791115781232297285.7287077907313.682624.53138.4477644782027.720141.2429.8319242578.6987.3820.90601879.6810.859892.002487.863307879.3799.5235.3104188.136117.2738.211626.16538.338326.07867.9964.38997.720.12221186.002166.39355824097.3292.729939.681649.6379.07165.5101.42583.921254.895211.487.6574911.1053909.124332.41116.4884980341.3622.631593241171.3839.70452.4045.316124.80894.250.825.9227423.42278.0664.0098962692.120.69262.7948.8869.28904.290.085120.19534.9472.64133.93132242156.569.2915798.7662.2629.729.539.64135.46128618955.9290.8773505427.7824475.936903.87169.5542531.5616145.6916608.9231226.87371098623113540154.7092761249.1148.96154.24541651522.885944059220.66198.92808819812.69127.9239.47773307865946.5557.7426.25833.66126.8161.34528.34934.2642331.75318.1951.5147.62298.96059527376426.56186.8756565029.84870149.82117.93133.45923.196.363.358.7925.37754.32108.8134.607103.9422580231.0423.8130942.3425.2474.1060.8131.73341.130.7550.4820.72133.47570.489.7115799.0961.17110.089.7910.0124509.446907.82169.5742535.2316149.316609.2931226.5757.73226.25833.65625.75961.35128.32934.2682331.57518.085416520654.988958.77215.809432.24298.78826.80573557.26473783.01291.0828.64331.53392222.7780.79498.31452.3605220.229365.3070415.9690947061.97438431077.12244.0262220023.57363204402.14900.619412669.5131.1175.88249.3320154.03306.582657.9985416.532250.31213661.3343926099.15210690160.09304766.81958441.0447.748647.652564952.621323260228.52967.33632701027994426746470409871079384007912.583857.49209.540397826231.610739.6354.5112534447.06167.0542.11775182.1512.839477.83146.631294371.34170.9928.3167120.070933.5951.476619.423250.777419.690910.4995.32451.830.55638689.9106100.82293139037.0435.7842780701.2733.85144.33185.27934.4386224.846919.13952.2285837.5412836.902944.984165.0807864712.6734.432062197789.2348.34113.3657.447181.35625.8060.5824.77246.9188.30126498292.380.56193.6536.9474.49693.4120.345626.70244.40786.3175.80415145843.097.4220601.6179.6677.747.527.74174.6643.37116.4121.6927859.548453.99208.3145558.1817883.7119206.2532568.144669010849411140187.3440.5640.44186.7427.68182.45239.5310.54114.0644.27414.29398.0364705.57382.2951.41925.68731.90925.89750.21828.83137.6991876.36319.627OpenBenchmarking.org

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32200K400K600K800K1000K89790854630416520896901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32300600900120015001257.651331.081326.141198.781279.031258.48148.121332.681366.71654.98148.28

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220K40K60K80K100K52568.4479908.398958.7752321.471. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322004006008001000400.73424.43840.23763.18836.99402.5798.97426.36629.91215.8198.95

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32153045607557.4560.6359.8255.3460.4557.6151.517.7661.1265.8232.247.80

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32120240360480600529.62558.92443.93437.65441.71530.0566.93557.52494.20298.7866.56

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3250010001500200025001008.181127.362244.191949.002227.421010.10268.731131.481608.99826.81269.40

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MMAPAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F329001800270036004500508.454187.213557.26511.981. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32100020003000400050003864.56591.174737.003795.431. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200164.66172.75147.82145.44147.32165.0022.81172.84163.9383.0122.61

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32110220330440550471.92495.44327.47320.99322.23473.4065.83495.35378.96291.0865.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32122436486051.6053.7140.0640.8641.0051.3147.627.4153.8450.7328.647.40

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322004006008001000444.97497.68982.50858.87967.23449.38136.35499.09709.17331.53136.54

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F328001600240032004000554.993939.462222.77554.881. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32306090120150146.45150.26110.01108.07111.54146.3022.08149.71127.4980.7921.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322004006008001000838.94870.59545.59535.77475.54834.42129.35866.54645.23498.31129.43

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3230060090012001500624.23662.791320.421195.831318.32625.93201.33666.05997.89452.36200.84

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32140280420560700316.91337.00671.40616.46663.58318.59102.82339.52511.63220.23102.20

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32140280420560700246.83237.50104.23112.69107.86246.88298.96662.50240.38129.84365.31664.55-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats-lfiniteVolume -lmeshTools -lparallel -lregionModels1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322040608010088.1433.9515.96100.491. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32400K800K1200K1600K2000K28584017958009094702864101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010038.7133.6317.7520.1117.6538.67106.7833.5524.2061.97106.73

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322M4M6M8M10M14931008659890438431014767901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3230609012015049.1543.6123.2825.6722.8848.75131.9843.7332.0477.12130.92

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3290180270360450143.56127.4572.7881.9172.86143.42417.12127.7897.12244.02418.91

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32300K600K900K1200K1500K28734016318306222002873401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3291827364515.4314.007.478.477.5315.6941.4713.739.9323.5741.41

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32300K600K900K1200K1500K6531277376881309354117618713230906529355273762473627394349457243632042473811. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32130260390520650580.97599.98286.45289.65296.29581.17113.41600.31387.92402.14112.33

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F325001000150020002500434.572210.09900.61432.801. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F326M12M18M24M30M5593873.2028081271.009412669.515591675.771. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32122436486020.8318.2110.4611.5110.5620.3852.1518.1413.6031.1152.23

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3220406080100100.91100.8059.4958.7657.8599.9320.64100.7369.0175.8820.52

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3270140210280350310.69316.07166.76168.86157.71295.8264.47305.70194.59249.3065.21

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32150K300K450K600K750K141942.95683986.91320154.03141780.311. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3290180270360450358.82366.73161.41160.40153.29360.18426.5692.21367.14219.45306.5893.37

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32140028004200560070001399.596438.592657.991398.471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3250K100K150K200K250K55423.94250785.9285416.5355510.141. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32140028004200560070001432.986463.852250.311433.601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3280K160K240K320K400K85344.04366719.77213661.3385478.881. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MutexAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220M40M60M80M100M18586817.0377897090.1943926099.1518679911.501. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32120M240M360M480M600M140011498.66576947450.43210690160.09139310693.591. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32200K400K600K800K1000K202508.20832532.65304766.81202547.601. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SENDFILEAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32600K1200K1800K2400K3000K645248.682643264.33958441.04648949.281. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010042.9948.8497.2984.4898.0443.0124.1748.8670.2147.7524.10

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010043.1349.0597.7084.2097.4842.2124.2348.9568.5747.6524.12

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: ForkingAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220K40K60K80K100K80179.882370.0064952.6280711.891. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32500K1000K1500K2000K2500K645080256059013232606447801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfigEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3290180270360450174.43157.73100.53108.58100.41173.49186.87390.85157.46113.86228.53393.15

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010075.6177.2940.6139.8639.5776.1720.1176.4946.7567.3319.97

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3230K60K90K120K150K3177012279063270317601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

HammerDB - MariaDB

This is a MariaDB MySQL database server benchmark making use of the HammerDB benchmarking / load testing tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 5009554 TwoP8380 2p20K40K60K80K100K267911027991. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

OpenBenchmarking.orgNew Orders Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 5009554 TwoP8380 2p9K18K27K36K45K11578442671. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

OpenBenchmarking.orgNew Orders Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 2509554 TwoP8380 2p10K20K30K40K50K12322464701. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

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.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220K40K60K80K100K25865.297285.740987.025841.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

HammerDB - MariaDB

This is a MariaDB MySQL database server benchmark making use of the HammerDB benchmarking / load testing tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 2509554 TwoP8380 2p20K40K60K80K100K287071079381. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Context SwitchingAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F323M6M9M12M15M14657098.157907313.684007912.5814724434.091. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3280016002400320040001076.682624.533857.491078.691. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3250100150200250225.06214.98108.94108.71108.56227.8865.28229.00138.44209.5065.53

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32200K400K600K800K1000K6731987176479309469083129405746773425656502805727195797764474039782775681. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220K40K60K80K100K24698.182027.726231.624506.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F324K8K12K16K20K6643.9520141.2410739.636634.241. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32122436486052.4453.4022.4822.2921.5152.4418.5352.9729.8354.5118.50

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F324M8M12M16M20M6533513.1619242578.6912534447.066558615.431. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200144.38145.1162.6963.0562.44130.4757.67144.1587.38167.0558.27

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32132639526528.7924.5119.6323.0819.9229.7429.8556.4525.7620.9142.1256.25-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats-lfiniteVolume -lmeshTools -lparallel -lregionModels1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3230609012015066.5961.49126.01131.11124.5168.0449.8268.2361.5179.6882.1568.47

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F326121824309.80599.77009.866010.03069.847825.478110.859812.839425.5925

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3220406080100101.93102.31101.3099.64101.5039.2392.0077.8339.06

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200104.2390.5376.1582.5275.60103.31117.93197.4690.3887.86146.63197.96

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: FutexAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32700K1400K2100K2800K3500K2573853.713307879.371294371.342708005.031. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3250100150200250122.75117.0695.4398.3095.54122.91133.46230.15117.3199.52170.99230.02

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3236912155.21205.03335.03345.27095.215111.71605.31048.316711.7042

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F324080120160200191.72198.52198.50189.53191.6185.32188.14120.0785.40

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3291827364522.7320.4517.0618.6416.8722.9923.1938.5320.2517.2733.5938.96

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32142842567028.2226.6727.2929.4128.1061.3338.2151.4861.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3291827364535.4337.4936.6333.9935.5716.3026.1719.4216.28

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F32142842567028.0926.8127.2128.9728.0261.4438.3450.7861.26

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3291827364535.5937.3036.7434.5035.6816.2726.0819.6916.32

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32481216206.5406.47010.13010.16410.1546.5166.36014.5056.3547.99610.49914.462

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322468103.9593.8724.9474.9834.9253.9693.3007.1513.9174.3895.3247.118

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3220406080100109.7465.50104.5665.37104.7765.8058.7959.0166.6097.7051.8073.971. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: defconfigEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3291827364524.6323.2019.6620.4919.7324.5225.3841.3423.2520.1230.5641.40

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32800160024003200400033073186246125852515323418943314211838681873

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3236912155.26135.13755.17485.43595.223610.46706.00209.910610.5574

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F324080120160200189.93194.50193.08183.78191.3295.48166.39100.8294.67

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3212K24K36K48K60K4386.9058240.0031390.002988.411. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: VGG-16EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3230609012015069.5473.65123.20110.75122.1369.578.3973.8697.3237.048.39

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: VGG-16EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3230609012015066.4970.93113.24104.39111.0566.428.3270.8492.7235.788.33

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3215K30K45K60K75K5323.299939.6842780.0069090.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324008001200160020001369.541467.711669.871587.051672.891373.02155.161461.601649.63701.27154.55

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010061.5465.6279.4375.7281.5861.5354.327.9965.8479.0733.858.00

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3250100150200250121.04113.86208.25216.62208.98120.27108.81143.06111.68165.50144.33141.83

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200119.54112.89113.98125.41114.40119.05161.23112.42101.43185.28161.35

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322468105.17445.24425.22745.28275.20646.98213.92104.43866.9796

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3260120180240300193.19190.62191.21189.21192.00143.17254.90224.85143.22

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3251015202511.4111.2111.3511.7511.4719.7411.4019.1419.84

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322040608010087.6389.1988.0785.0487.1850.6487.6652.2350.38

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3220040060080010001115.90971.92969.421132.38964.831115.50658.39970.54911.11837.54660.78

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3220040060080010001112.48972.48966.601131.69974.021110.00658.97972.12909.12836.90660.99

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F32100200300400500270377445

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32122436486033.4032.4433.3433.4233.8633.1234.6152.2232.7632.4144.9852.07

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200131.64113.75118.68141.10133.97119.72103.94140.05111.28116.49165.08138.88-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats-lfiniteVolume -lmeshTools -lparallel -lregionModels1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p20K40K60K80K100K102315.37102400.95101829.90102396.46102425.27102376.0380231.04102394.0080341.3664712.671. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: t1ha0_aes_avx2 x86_64

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3281624324026.3923.7725.5427.0824.8523.9223.8127.3725.7122.6334.4328.37-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats-lfiniteVolume -lmeshTools -lparallel -lregionModels1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: AtomicAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3250K100K150K200K250K160435.98241171.38197789.23165666.651. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32132639526547.5442.5242.6349.1443.0147.4759.4742.3639.7048.3459.33

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3260120180240300181237267

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F320.75711.51422.27133.02843.78552.3212.3112.4152.4222.4222.2902.3423.2652.2972.4043.3653.3041. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322468105.2265.0835.2105.2415.3235.1615.2476.5365.2275.3167.4476.6511. (CXX) g++ options: -O3 -fPIC -lm

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3211002200330044005500531940973631

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F3280K160K240K320K400K388592298877266084

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F324080120160200151.37142.10142.58155.30144.05150.61155.26141.03124.81181.36156.19

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F321.30642.61283.91925.22566.5324.4274.0784.2884.2444.3224.1244.1064.7254.0994.2505.8064.9451. (CXX) g++ options: -O3 -fPIC -lm

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F320.18450.3690.55350.7380.92250.820.820.790.800.800.820.810.750.810.820.580.751. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3220406080100555476

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution TimeEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP75F321.34562.69124.03685.38246.7284.351224.352005.980525.901814.301004.667415.922744.666761. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F324K8K12K16K20K179251821613108

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3271421283531.3231.5724.3022.8622.9431.1631.7328.6431.3323.4224.7728.731. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3270140210280350316.47318.90275.75284.19275.97317.83341.13332.73320.16278.06246.91320.16

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Write - Clients: 256AMD EPYC 75F3 32-Core75F32110K220K330K440K550K367796507877

Rows: 10000 - Test: Random Write - Clients: 256

EPYC 9654 2P: The test run did not produce a result.

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010076.8572.3372.5480.0972.6376.6479.3572.0164.0188.3079.53

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: System V Message PassingAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322M4M6M8M10M8704140.328962692.126498292.388711498.671. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F320.17330.34660.51990.69320.86650.730.730.700.730.730.770.750.690.740.690.560.711. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3260120180240300265.77221.25265.96200.65211.70205.05262.79193.65217.751. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32112233445549.8349.7148.5149.0248.5349.7850.4847.4050.7048.8836.9446.70

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654AMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322040608010091.8093.5472.7670.5091.8884.0769.2874.4984.181. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: NUMAAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F322004006008001000926.64904.20693.40925.071. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32306090120150107.6796.2397.50111.4899.03106.55117.1195.9790.09120.35117.02

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3261218243020.8320.4020.1320.0120.0920.7520.7226.1520.5020.2026.7026.32

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F324080120160200142186189

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F32102030405033.8433.7034.5335.0734.6533.7533.4840.9533.7734.9444.4141.021. (CXX) g++ options: -O3 -fPIC -lm

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3214002800420056007000669851895071

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F3220040060080010008649811139

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010077.9370.8275.7682.8376.4073.3970.4891.0169.9372.6486.3092.10

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Platform9554 TwoP8380 2p4080120160200133.93175.801. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Platform9554 TwoP8380 2p132639526556.5643.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3236912159.589.629.059.289.239.579.719.519.649.297.429.331. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3220406080100697490

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha2_atonceEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p4K8K12K16K20K20135.1920135.1719789.9620135.1420135.2020134.6915799.0920135.1015798.7620601.611. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: t1ha2_atonce

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F322040608010062.2761.7363.1163.0863.5662.3061.1777.9362.0462.2679.6777.851. (CXX) g++ options: -O3 -fPIC -lm

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3236912159.949.959.499.689.579.9510.0810.0210.059.727.749.771. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3236912159.689.709.329.299.299.689.799.599.779.537.529.451. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F323K6K9K12K15K143451334111071

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 9554AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F3236912159.879.909.479.629.489.9010.019.869.989.647.749.681. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Video On Demand9554 TwoP8380 2p4080120160200135.46174.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Video On Demand9554 TwoP8380 2p132639526555.9243.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Upload9554 TwoP8380 2p30609012015090.88116.411. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Upload9554 TwoP8380 2p71421283527.7821.691. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhashEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p7K14K21K28K35K31201.2031197.9231247.3631248.9131218.0531198.5224509.4431245.4724475.9327859.541. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: wyhash

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash32EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p2K4K6K8K10K8775.908802.198803.358803.408803.428803.526907.828803.736903.878453.991. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: fasthash32

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: SHA3-256EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p50100150200250211.82216.13216.02216.15216.01216.08169.57216.08169.55208.311. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: SHA3-256

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p12K24K36K48K60K54212.9654202.2754192.2254144.8554190.5454220.2342535.2354175.0842531.5645558.181. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: MeowHash x86_64 AES-NI

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky32EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p4K8K12K16K20K20582.5720582.7920580.2820576.7720577.1520581.5516149.3020577.0116145.6917883.711. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: Spooky32

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash128EPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p5K10K15K20K25K21166.2121168.0121167.4821167.2921167.1721167.6416609.2921167.1116608.9219206.251. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: FarmHash128

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654EPYC 95549654 Power9554 TwoP8380 2p9K18K27K36K45K39795.0439795.0239794.9539795.4339795.9939796.1331226.5739794.1131226.8732568.141. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Hash: FarmHash32 x86_64 AVX

AMD EPYC 75F3 32-Core: The test quit with a non-zero exit status.

75F32: The test quit with a non-zero exit status.

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 500EPYC 9654 2PAMD EPYC 75F3 32-Core75F32130260390520650468529589

HammerDB - MariaDB

This is a MariaDB MySQL database server benchmark making use of the HammerDB benchmarking / load testing tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNew Orders Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 1009554 TwoP8380 2p10K20K30K40K50K37109466901. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

OpenBenchmarking.orgTransactions Per Minute, More Is BetterHammerDB - MariaDB 10.9.3Virtual Users: 64 - Warehouses: 1009554 TwoP8380 2p20K40K60K80K100K862311084941. (CXX) g++ options: -fPIC -pie -fstack-protector -O2 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgEPYC 9654 RepeatEPYC 9654 PowerEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654 2PEPYC 9654AMD EPYC 75F3 32-Core9654 Power9554 TwoP8380 2p75F323K6K9K12K15K1351713527134671341513481135511365413526135401114013644

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 500EPYC 9654 2PAMD EPYC 75F3 32-Core75F3270K140K210K280K350K339482306869278941

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Platform9554 TwoP8380 2p4080120160200154.71187.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Video On Demand9554 TwoP8380 2p112233445549.1140.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Platform9554 TwoP8380 2p112233445548.9640.441. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Video On Demand9554 TwoP8380 2p4080120160200154.25186.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Live9554 TwoP8380 2p71421283522.8927.681. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Live9554 TwoP8380 2p50100150200250220.66182.451. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Upload9554 TwoP8380 2p50100150200250198.93239.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Upload9554 TwoP8380 2p369121512.6910.541. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F3230K60K90K120K150K155246141825129941

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 500EPYC 9654 2PAMD EPYC 75F3 32-Core75F32400800120016002000159918211702

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Live9554 TwoP8380 2p306090120150127.92114.061. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 5.1.2Encoder: libx265 - Scenario: Live9554 TwoP8380 2p102030405039.4844.271. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunAMD EPYC 75F3 32-Core8380 2p75F3290180270360450402.41414.29401.99MIN: 43.07 / MAX: 20000MIN: 66.74 / MAX: 30000MIN: 43.7 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

100M Rows Web Analytics Dataset, Second Run

9554 TwoP: The test run did not produce a result.

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Write - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F32816243240363434

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunAMD EPYC 75F3 32-Core8380 2p75F3290180270360450387.02400.65383.67MIN: 41.29 / MAX: 8571.43MIN: 63.56 / MAX: 20000MIN: 43.35 / MAX: 8571.431. ClickHouse server version 22.5.4.19 (official build).

100M Rows Web Analytics Dataset, Third Run

9554 TwoP: The test run did not produce a result.

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Write - Clients: 256AMD EPYC 75F3 32-Core75F3240080012001600200019531871

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Write - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F326K12K18K24K30K259072695427027

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringAMD EPYC 75F3 32-Core9554 TwoP8380 2p75F3214K28K42K56K70K67389.9365946.5564705.5767158.171. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheAMD EPYC 75F3 32-Core8380 2p75F3280160240320400376.51383.28377.33MIN: 37.24 / MAX: 10000MIN: 56.76 / MAX: 15000MIN: 37.85 / MAX: 100001. ClickHouse server version 22.5.4.19 (official build).

100M Rows Web Analytics Dataset, First Run / Cold Cache

9554 TwoP: The test run did not produce a result.

Apache HBase

This is a benchmark of the Apache HBase non-relational distributed database system inspired from Google's Bigtable. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F32400800120016002000199320622026

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F3230K60K90K120K150K127105123070125256

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Increment - Clients: 500EPYC 9654 2PAMD EPYC 75F3 32-Core75F3230K60K90K120K150K149429154170153938

OpenBenchmarking.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 500AMD EPYC 75F3 32-Core75F32900180027003600450043524409

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Increment - Clients: 500AMD EPYC 75F3 32-Core75F3220K40K60K80K100K113983112527

Rows: 1000000 - Test: Increment - Clients: 500

EPYC 9654 2P: The test run did not produce a result.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Scan - Clients: 25675F3213M26M39M52M65M58887584

Rows: 1000000 - Test: Scan - Clients: 256

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Scan - Clients: 175F3230K60K90K120K150K131234

Rows: 1000000 - Test: Scan - Clients: 1

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

8380 2p: The test run did not produce a result.

OpenBenchmarking.orgRows Per Second, More Is BetterApache HBase 2.5.0Rows: 10000 - Test: Scan - Clients: 175F325K10K15K20K25K23753

Rows: 10000 - Test: Scan - Clients: 1

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

8380 2p: The test run did not produce a result.

Rows: 1000000 - Test: Scan - Clients: 500

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

75F32: The test run did not produce a result.

Rows: 10000 - Test: Scan - Clients: 500

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

75F32: The test run did not produce a result.

8380 2p: The test run did not produce a result.

Rows: 10000 - Test: Scan - Clients: 256

EPYC 9654 2P: The test run did not produce a result.

AMD EPYC 75F3 32-Core: The test run did not produce a result.

75F32: The test run did not produce a result.

8380 2p: The test run did not produce a result.

ClickHouse

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

EPYC 9654 2P: The test run did not produce a result.

EPYC 9654 2P Repeat: The test run did not produce a result.

EPYC 9654 2P - Perf M: The test run did not produce a result.

EPYC 9654: The test run did not produce a result.

EPYC 9654 Repeat: The test run did not produce a result.

EPYC 9654 Power: The test run did not produce a result.

9654 Power: The test run did not produce a result.

9554 TwoP: The test run did not produce a result.

EPYC 9554: The test run did not produce a result.

188 Results Shown

Cpuminer-Opt
TensorFlow
Stress-NG
Neural Magic DeepSparse
TensorFlow:
  CPU - 32 - VGG-16
  CPU - 512 - GoogLeNet
Neural Magic DeepSparse
Stress-NG
Cpuminer-Opt
TensorFlow:
  CPU - 512 - ResNet-50
  CPU - 256 - GoogLeNet
  CPU - 16 - VGG-16
Neural Magic DeepSparse
Cpuminer-Opt
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 64 - AlexNet
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
OpenFOAM
Stress-NG
Cpuminer-Opt
Blender
Cpuminer-Opt
Blender:
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
Cpuminer-Opt
Blender
7-Zip Compression
TensorFlow
Stress-NG:
  Glibc Qsort Data Sorting
  Glibc C String Functions
Blender
TensorFlow:
  CPU - 64 - ResNet-50
  CPU - 64 - GoogLeNet
Stress-NG
TensorFlow
Cpuminer-Opt
Stress-NG
Cpuminer-Opt
Stress-NG:
  CPU Stress
  Mutex
  Malloc
  Vector Math
  SENDFILE
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
Stress-NG
Cpuminer-Opt
Timed Linux Kernel Compilation
TensorFlow
Cpuminer-Opt
HammerDB - MariaDB:
  64 - 500:
    Transactions Per Minute
    New Orders Per Minute
  64 - 250:
    New Orders Per Minute
Xmrig
HammerDB - MariaDB
Stress-NG:
  Context Switching
  MEMFD
TensorFlow
7-Zip Compression
Xmrig
Stress-NG
TensorFlow
Stress-NG
TensorFlow
OpenFOAM
OpenRadioss
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
OpenRadioss
Stress-NG
Timed Node.js Compilation
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
OpenRadioss
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
Y-Cruncher:
  1B
  500M
x264
Timed Linux Kernel Compilation
spaCy
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
Cpuminer-Opt
TensorFlow:
  CPU - 512 - VGG-16
  CPU - 256 - VGG-16
Cpuminer-Opt
TensorFlow:
  CPU - 512 - AlexNet
  CPU - 64 - VGG-16
OpenRadioss
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
Apache HBase
Timed Godot Game Engine Compilation
OpenFOAM
SMHasher
OpenFOAM
Stress-NG
Neural Magic DeepSparse
Apache HBase
libavif avifenc:
  6
  6, Lossless
Apache HBase:
  10000 - Increment - 1
  10000 - Rand Read - 256
Neural Magic DeepSparse
libavif avifenc
JPEG XL libjxl
Apache HBase
OpenFOAM
Apache HBase
x265
JPEG XL Decoding libjxl
Apache HBase
Neural Magic DeepSparse
Stress-NG
JPEG XL libjxl
x264
JPEG XL Decoding libjxl
x265
Stress-NG
Neural Magic DeepSparse
Timed Mesa Compilation
Apache HBase
libavif avifenc
Apache HBase:
  10000 - Rand Read - 1
  10000 - Increment - 256
OpenRadioss
FFmpeg:
  libx265 - Platform:
    Seconds
    FPS
JPEG XL libjxl
Apache HBase
SMHasher
libavif avifenc
JPEG XL libjxl:
  PNG - 80
  JPEG - 80
Apache HBase
JPEG XL libjxl
FFmpeg:
  libx265 - Video On Demand:
    Seconds
    FPS
  libx265 - Upload:
    Seconds
    FPS
SMHasher:
  wyhash
  fasthash32
  SHA3-256
  MeowHash x86_64 AES-NI
  Spooky32
  FarmHash128
  FarmHash32 x86_64 AVX
Apache HBase
HammerDB - MariaDB:
  64 - 100:
    New Orders Per Minute
    Transactions Per Minute
spaCy
Apache HBase
FFmpeg:
  libx264 - Platform
  libx264 - Video On Demand
  libx264 - Platform
  libx264 - Video On Demand
  libx264 - Live
  libx264 - Live
  libx264 - Upload
  libx264 - Upload
Apache HBase:
  10000 - Increment - 256
  10000 - Increment - 500
FFmpeg:
  libx265 - Live:
    FPS
    Seconds
ClickHouse
Apache HBase
ClickHouse
Apache HBase:
  10000 - Rand Write - 256
  10000 - Rand Write - 1
Stress-NG
ClickHouse
Apache HBase:
  1000000 - Increment - 256:
    Microseconds - Average Latency
    Rows Per Second
  10000 - Increment - 500:
    Rows Per Second
  1000000 - Increment - 500:
    Microseconds - Average Latency
    Rows Per Second
  1000000 - Scan - 256:
    Rows Per Second
  1000000 - Scan - 1:
    Rows Per Second
  10000 - Scan - 1:
    Rows Per Second