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 Genoahbase: 1000000 - Increment - 500hbase: 1000000 - Increment - 500hbase: 1000000 - Increment - 256hbase: 1000000 - Increment - 256tensorflow: CPU - 512 - VGG-16tensorflow: CPU - 256 - VGG-16tensorflow: CPU - 512 - ResNet-50hammerdb-mariadb: 64 - 250hammerdb-mariadb: 64 - 250hammerdb-mariadb: 64 - 500hammerdb-mariadb: 64 - 500hammerdb-mariadb: 64 - 100hammerdb-mariadb: 64 - 100smhasher: SHA3-256smhasher: SHA3-256tensorflow: CPU - 256 - ResNet-50openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timehbase: 1000000 - Scan - 1hbase: 10000 - Scan - 1jpegxl: JPEG - 100jpegxl: PNG - 100ffmpeg: libx264 - Uploadffmpeg: libx264 - Uploadhbase: 10000 - Increment - 500hbase: 10000 - Increment - 500tensorflow: CPU - 512 - GoogLeNethbase: 10000 - Rand Read - 500hbase: 10000 - Rand Read - 500tensorflow: CPU - 64 - VGG-16ffmpeg: libx264 - Platformffmpeg: libx264 - Platformbuild-linux-kernel: allmodconfigffmpeg: libx264 - Video On Demandffmpeg: libx264 - Video On Demandblender: Barbershop - CPU-Onlyffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandopenradioss: Bird Strike on Windshieldtensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNetbuild-nodejs: Time To Compiletensorflow: CPU - 32 - VGG-16hbase: 10000 - Increment - 256hbase: 10000 - Increment - 256hbase: 10000 - Rand Read - 256hbase: 10000 - Rand Read - 256jpegxl: JPEG - 80hbase: 10000 - Rand Write - 256openradioss: INIVOL and Fluid Structure Interaction Drop Containerjpegxl: PNG - 80jpegxl: JPEG - 90tensorflow: CPU - 512 - AlexNetjpegxl: PNG - 90hbase: 10000 - Rand Write - 256tensorflow: CPU - 32 - ResNet-50openradioss: Rubber O-Ring Seal Installationhbase: 1000000 - Increment - 1hbase: 1000000 - Increment - 1openradioss: Bumper Beamtensorflow: CPU - 16 - VGG-16avifenc: 0hbase: 1000000 - Rand Read - 1hbase: 1000000 - Rand Read - 1tensorflow: CPU - 16 - ResNet-50ffmpeg: libx265 - Liveffmpeg: libx265 - Livedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamblender: Pabellon Barcelona - CPU-Onlyopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timedeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamjpegxl-decode: 1tensorflow: CPU - 256 - AlexNetdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: 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 - 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-Streamtensorflow: CPU - 64 - GoogLeNetblender: Classroom - CPU-Onlyffmpeg: libx264 - Liveffmpeg: libx264 - Livedeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamspacy: en_core_web_trfspacy: en_core_web_lghbase: 1000000 - Scan - 256deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamcpuminer-opt: Myriad-Groestldeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runbuild-godot: Time To Compiledeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamavifenc: 2xmrig: Monero - 1Mopenradioss: Cell Phone Drop Testcpuminer-opt: Garlicoincompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingtensorflow: CPU - 32 - GoogLeNetstress-ng: Atomiccpuminer-opt: Ringcoinstress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Mallocstress-ng: IO_uringstress-ng: Futexstress-ng: CPU Cachestress-ng: System V Message Passingstress-ng: NUMAstress-ng: Socket Activitystress-ng: Mutexstress-ng: MEMFDstress-ng: CPU Stresscpuminer-opt: Quad SHA-256, Pyritestress-ng: Cryptostress-ng: SENDFILEstress-ng: Forkingstress-ng: Vector Mathstress-ng: MMAPcpuminer-opt: scryptstress-ng: Matrix Mathstress-ng: Glibc Qsort Data Sortingstress-ng: Semaphoresstress-ng: Memory Copyingcpuminer-opt: Deepcoincpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Blake-2 Scpuminer-opt: x25xcpuminer-opt: Magicpuminer-opt: LBC, LBRY Creditscpuminer-opt: Skeincoinxmrig: Wownero - 1Mbuild-linux-kernel: defconfigblender: Fishy Cat - CPU-Onlytensorflow: CPU - 16 - GoogLeNetjpegxl-decode: Allx265: Bosphorus 4Kbuild-mesa: Time To Compiletensorflow: CPU - 64 - AlexNetblender: BMW27 - CPU-Onlytensorflow: CPU - 32 - AlexNety-cruncher: 1Bopenfoam: motorBike - Execution Timesmhasher: FarmHash128smhasher: FarmHash128smhasher: MeowHash x86_64 AES-NIsmhasher: MeowHash x86_64 AES-NItensorflow: CPU - 16 - AlexNety-cruncher: 500Mx264: Bosphorus 4Ksmhasher: Spooky32smhasher: Spooky32smhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXx265: Bosphorus 1080psmhasher: fasthash32smhasher: fasthash32smhasher: t1ha2_atoncesmhasher: t1ha2_atoncesmhasher: t1ha0_aes_avx2 x86_64smhasher: t1ha0_aes_avx2 x86_64hbase: 10000 - Increment - 1hbase: 10000 - Increment - 1avifenc: 6, Losslesshbase: 10000 - Rand Read - 1hbase: 10000 - Rand Read - 1smhasher: wyhashsmhasher: wyhashavifenc: 10, Losslesshbase: 10000 - Rand Write - 1hbase: 10000 - Rand Write - 1x264: Bosphorus 1080pavifenc: 6EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p1993127105122.13111.05147.321829.798216.01111.54107.85826133.967450.730.81599149429441.7146833948281.58100.4172.86208.9857.85322.2395.54160.458641552462703885929.2975.69.579.231672.899.4839.57124.51691434576.44163.562551792521.51964.832998.040822.8819.91939924.847602974.015397.478848.531279.03144.0459663.579114.3987836.9886157.7117.6525151348172.63231318.322499.0265967.226943.01122227.419833.86334.65416.871323090940574108.5619.72510.5662.44275.9722.9420.089475.547.53296.2910.15447.82821167.1745.1154190.54153.294.925104.7726.85520577.1539795.9926.38722.0768803.4220135.220.09720.472102425.2718153195.323142669831218.0513.9884.32236259072.422123.2113.24147.821829.043216.02110.01104.23027118.676480.70.79443.9379.43100.52572.78208.2559.49327.4795.42559.829.3276.159.499.051669.879.4740.61126.0175.7640.0663.10822.48969.424397.285623.2819.63109325.539527966.601597.696748.511326.14142.5791671.4008113.9772840.23411.345688.074527.290236.63327.213336.7364166.7617.759.866101.302124611346772.5441320.415697.5018982.49855.1748193.077542.62582244.18575.0334198.499133.3355.2274191.206834.52617.061309354930946108.9419.65810.4662.69275.7524.320.131545.597.47286.4510.135.9805247.82521167.4845.1154192.22161.414.947104.5627.61720580.2839794.9526.38772.7622.0778803.3519789.9620.09720.472101829.95.2131247.3613.9684.288265.962.415110.75104.39145.441829.207216.15108.07112.69451141.10010.730.8437.6575.72108.58481.91216.6258.76320.9998.30255.349.2982.529.689.281587.059.6239.86131.1182.8340.8663.07822.291132.377584.479825.6723.08357927.0782211131.689184.201849.021198.78155.2956616.4604125.4096763.182711.750285.04429.407333.994928.974534.5036168.8620.1110.030699.637225851341580.09481195.8283111.4821858.87455.4359183.778749.14091949.00475.2709189.530833.4195.2827189.206235.07418.641176187908312108.7120.48611.5163.05284.1922.8620.01535.778.47289.6510.1645.9018147.82921167.2945.11454144.85160.44.98365.3726.66220576.7739795.4326.38770.522.0788803.420135.1420.09720.472102396.465.24131248.9114.2154.244200.652.42269.5766.421651829.749216.08146.3246.8784119.719250.770.82530.0561.53173.494143.42120.2799.93473.4122.91157.619.68103.319.959.571373.029.976.1768.0473.3951.3162.29952.441115.496343.005148.7529.73861523.9193991110.003742.214249.781258.48150.6057318.5908119.0525402.57411.465187.177528.10435.574828.019335.6818295.8238.679.8478101.502832341355176.6433625.932106.5518449.38025.2236191.324447.47461010.10335.2151191.606133.1245.2064191.995333.7522.99652935677342227.8824.51920.38130.47317.8331.1620.75834.4215.69581.176.5164.30147.82521167.6445.1154220.23360.183.96965.826.70320581.5539796.1326.38791.8822.0778803.5220134.6920.09720.472102376.035.16131198.5213.9684.124211.72.2969.5466.49164.661871.004211.82146.45246.82702131.639390.730.82529.6261.54174.426143.56121.04100.91471.92122.74957.459.68104.239.949.581369.549.8775.6166.5977.9351.662.27452.441115.901342.988449.1528.79171526.3893121112.484643.132749.831257.65151.3705316.9094119.5359400.729311.406287.625628.215835.434128.092835.5886310.6938.719.8059101.932133071351776.8488624.2323107.668444.96845.2613189.925847.53771008.17875.212191.721733.3995.1744193.185633.83522.73653127673198225.0624.6320.83144.38316.4731.3220.828838.9415.43580.976.544.3512247.82521166.2145.11254212.96358.823.959109.7426.66320582.5739795.0426.38791.822.0778775.920135.1920.09720.472102315.375.22631201.213.9684.427265.772.32173.6570.93172.751830.336216.13150.26237.49597113.751670.730.82558.9265.62157.734127.45113.86100.8495.44117.0660.639.790.539.959.621467.719.977.2961.4970.8253.7161.73153.4971.915648.840943.6124.50917323.774357972.479749.051849.711331.08142.1002337.0033112.8884424.433511.206489.188626.669737.487626.806337.2968316.0733.639.77102.307431861352772.331662.7996.2264497.68485.1375194.499442.52171127.35995.0333198.520832.4385.2442190.616433.720.45737688717647214.9823.19518.21145.11318.931.5720.398870.5914599.986.474.35247.82521168.0145.11254202.27366.733.87265.526.68320582.7939795.0226.38793.5422.088802.1920135.1720.09720.477102400.955.08331197.9213.9684.078221.252.31173.8670.84172.841829.028216.08149.71240.38495111.276040.740.81557.5265.84157.455127.78111.68100.73495.35117.30961.129.7790.3810.059.641461.69.9876.4961.5169.9353.8462.03752.97970.542148.856643.7325.75680925.707768972.119248.953850.71332.68141.0342339.5245112.4239426.3633305.733.5533141352672.0102666.050895.9686499.089342.36451131.481932.7633.77120.2573943471957922923.24818.14144.15320.1631.3320.496866.5413.73600.316.35447.82421167.1145.10654175.08367.143.91766.627.61720577.0139794.1126.38722.0798803.7320135.120.09720.4721023945.22731245.4713.9844.0992.297435211398320621230708.398.3222.8122.08662.50325140.047970.690.75182115417066.935293068697.99390.846417.12143.0620.6465.83230.1537.769811418253772988779.591953197.4610.029.51155.169.8636779620.1168.23741334191.017.4177.929541821618.53658.390724.1673131.9856.4490127.369771658.974524.226947.4148.12155.2589102.8223161.226998.973819.739150.644661.328816.303761.439416.274464.47106.7825.478139.234818941365479.3471201.3251117.105136.351810.46795.484459.4734268.7285323.2911.71685.317376.51402.41387.0252.2166.9821143.165640.94924698.138.534386.924736228057265.28160435.983864.5614657098.155593873.2140011498.6667389.932573853.7188.148704140.32926.6452568.4418586817.031076.6885344.0428584055423.94645248.6880179.88202508.2508.45554.99141942.95434.576533513.166643.953177064508014931001399.591432.988979028734025865.241.34352.1557.67332.7328.6426.151129.3541.47113.4114.5054.6674192.217.15159.0184.0723740976.53618651894.7253426954205.053.265440911252720261252568.398.3322.6121.95664.54696138.87709131234237530.710.75170215393866.565892789418393.153418.91141.8320.5265.33230.0157.811391299414452660849.451871197.969.779.33154.559.6850787719.9768.47901107192.17.477.848761310818.5660.780724.0973130.9256.2467728.369974660.989524.116546.7148.28156.1934102.1985161.352698.945719.84450.37861.428916.277461.258616.322465.21106.7325.592539.05951873136445888758479.53200.8362117.0188136.535810.557494.674259.3301269.39616909011.704285.4021377.33401.99383.6752.076.9796143.216441.02424506.838.962988.4124738127756865.53165666.653795.4314724434.095591675.77139310693.5967158.172708005.03100.498711498.67925.0752321.4718679911.51078.6985478.8828641055510.14648949.2880711.89202547.6511.98554.88141780.31432.86558615.436634.243176064478014767901398.471433.68969028734025841.141.40152.2358.27320.1628.7326.319129.4341.41112.3314.4624.6667693.377.11873.9784.1826736316.65118950714.9453427027217.753.30497.3292.72163.932870712322267911157886231371092331.753169.55127.49129.83749116.488490.690.8212.69198.928088198494.279.0748.96154.70927612113.86249.11154.24541651597.1227.7890.8773505456.56133.93132242155.92135.461286189165.569.01378.9699.52365.829.5387.869.729.291649.639.6446.7579.6872.6450.7362.26229.83127.9239.477733078911.105370.210732.0420.90601822.631593909.124368.568948.881366.71124.8089511.6331101.4258629.905311.487.657438.211626.16538.338326.0786194.5924.2220.6622.88594405910.859892.002421181354064.009997.887490.0851709.16536.002166.393539.70451608.98919939.685.3104188.136132.413.921254.895234.9482027.717.2758240945724776447138.44241171.38591.177907313.6828081271576947450.4365946.553307879.3733.958962692.12904.279908.3977897090.192624.53366719.771795800250785.922643264.332370832532.654187.213939.46683986.912210.0919242578.6920141.24122790256059086598906438.596463.85854630163183097285.720.12213.687.38278.0623.4220.195645.239.93387.927.9965.9227461.34516608.9257.7442531.56219.454.38997.734.26416145.6931226.8733.66169.2828.3496903.8715798.7626.8126.25880341.365.31624475.9318.194.25262.792.4042331.575169.57298.96059103.942250.750.8154.32186.87108.81133.45951.519.79117.9310.089.7110.0149.8270.4847.6261.17129.84870123.81309450.4834.60733.47523.1952737656565025.377341.1331.7320.7216.3661.35116609.2957.73242535.23426.563.358.7934.26816149.331226.5733.65628.3296907.8215799.0925.75926.25880231.045.24724509.4418.0854.1062.34237.0435.7883.011079384647010279944267108494466901876.363208.3180.79365.30704165.080780.560.5810.54239.53298.7833.8540.44187.34228.52940.56186.74244.0221.69116.4143.09175.80415145843.37174.66144.3375.88291.08170.99232.247.52146.637.747.42701.277.7467.3382.1586.328.6479.66754.51114.0644.27837.541247.748677.1242.11775134.432062836.902947.652536.94654.98181.3562220.229185.2793215.809419.13952.228551.476619.423250.777419.6909249.361.97182.4527.6812.839477.8338681114088.3012452.3605120.3456331.53399.9106100.822948.3411826.8057427808.3167120.0709382.29414.29398.0344.9844.4386224.846944.40726231.633.5931390363204403978209.5197789.2347374007912.589412669.51210690160.0964705.571294371.3415.966498292.38693.48958.7743926099.153857.49213661.3390947085416.53958441.0464952.62304766.813557.262222.77320154.03900.6112534447.0610739.6363270132326043843102657.992250.314165206222004098730.55631.11167.05246.9124.7726.702498.3123.57402.1410.49950.21819206.2551.41945558.18306.585.32451.837.69917883.7132568.1431.90974.4928.8318453.9920601.6125.89725.68764712.677.44727859.5419.6275.806193.653.365OpenBenchmarking.org

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: 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.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

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p306090120150122.13123.20110.7569.5769.5473.6573.868.398.3997.3237.04

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: VGG-16EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p306090120150111.05113.24104.3966.4266.4970.9370.848.328.3392.7235.78

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4080120160200147.32147.82145.44165.00164.66172.75172.8422.8122.61163.9383.01

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++

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++

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.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++

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++

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.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: SHA3-256EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p50010001500200025001829.801829.041829.211829.751871.001830.341829.032331.752331.581876.361. (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: SHA3-256EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p50100150200250216.01216.02216.15216.08211.82216.13216.08169.55169.57208.311. (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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p306090120150111.54110.01108.07146.30146.45150.26149.7122.0821.95127.4980.79

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p140280420560700107.86104.23112.69246.88246.83237.50240.38662.50664.55129.84298.96365.31-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-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats1. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p4080120160200133.97118.68141.10119.72131.64113.75111.28140.05138.88116.49103.94165.08-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-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats1. (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

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.

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.

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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p0.17330.34660.51990.69320.86650.730.700.730.770.730.730.740.690.710.690.750.561. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p0.18450.3690.55350.7380.92250.800.790.800.820.820.820.810.750.750.820.810.581. (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.orgFPS, More Is BetterFFmpeg 5.1.2Encoder: libx264 - Scenario: Upload9554 TwoP8380 2p369121512.6910.541. (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

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: 500EPYC 9654 2PAMD EPYC 75F3 32-Core75F32400800120016002000159918211702

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

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: GoogLeNetEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p120240360480600441.71443.93437.65530.05529.62558.92557.5266.9366.56494.20298.78

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

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

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: VGG-16EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2040608010081.5879.4375.7261.5361.5465.6265.847.998.0079.0754.3233.85

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: 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: Platform9554 TwoP8380 2p4080120160200154.71187.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p90180270360450100.41100.53108.58173.49174.43157.73157.46390.85393.15113.86186.87228.53

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: libx264 - Scenario: Video On Demand9554 TwoP8380 2p112233445549.1140.561. (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

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p9018027036045072.8672.7881.91143.42143.56127.45127.78417.12418.9197.12244.02

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: Upload9554 TwoP8380 2p71421283527.7821.691. (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: Platform9554 TwoP8380 2p132639526556.5643.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: 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: Video On Demand9554 TwoP8380 2p4080120160200135.46174.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p50100150200250208.98208.25216.62120.27121.04113.86111.68143.06141.83165.50108.81144.33

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010057.8559.4958.7699.93100.91100.80100.7320.6420.5269.0175.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p110220330440550322.23327.47320.99473.40471.92495.44495.3565.8365.33378.96291.08

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p5010015020025095.5495.4398.30122.91122.75117.06117.31230.15230.0299.52133.46170.99

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p153045607560.4559.8255.3457.6157.4560.6361.127.767.8065.8251.5132.24

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: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F3220040060080010008649811139

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: Random Read - Clients: 256EPYC 9654 2PAMD EPYC 75F3 32-Core75F32100200300400500270377445

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

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: 80EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p36912159.299.329.299.689.689.709.779.599.459.539.797.521. (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: 10000 - Test: Random Write - Clients: 256AMD EPYC 75F3 32-Core75F3240080012001600200019531871

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p408012016020075.6076.1582.52103.31104.2390.5390.38197.46197.9687.86117.93146.63

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p36912159.579.499.689.959.949.9510.0510.029.779.7210.087.741. (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: 90EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p36912159.239.059.289.579.589.629.649.519.339.299.717.421. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4008001200160020001672.891669.871587.051373.021369.541467.711461.60155.16154.551649.63701.27

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p36912159.489.479.629.909.879.909.989.869.689.6410.017.741. (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: 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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010039.5740.6139.8676.1775.6177.2976.4920.1119.9746.7567.33

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p306090120150124.51126.01131.1168.0466.5961.4961.5168.2368.4779.6849.8282.15

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

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

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2040608010076.4075.7682.8373.3977.9370.8269.9391.0192.1072.6470.4886.30

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: VGG-16EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p122436486041.0040.0640.8651.3151.6053.7153.847.417.4050.7347.6228.64

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2040608010063.5663.1163.0862.3062.2761.7362.0477.9377.8562.2661.1779.671. (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.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 1000000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F3220406080100555476

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

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p122436486021.5122.4822.2952.4452.4453.4052.9718.5318.5029.8354.51

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

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000964.83969.421132.381115.501115.90971.92970.54658.39660.78911.11837.54

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010098.0497.2984.4843.0142.9948.8448.8624.1724.1070.2147.75

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p30609012015022.8823.2825.6748.7549.1543.6143.73131.98130.9232.0477.12

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p132639526519.9219.6323.0829.7428.7924.5125.7656.4556.2520.9129.8542.12-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-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats1. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p81624324024.8525.5427.0823.9226.3923.7725.7127.3728.3722.6323.8134.43-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-lfiniteVolume -lmeshTools -lparallel -lregionModels-lfoamToVTK -ldynamicMesh -lfileFormats1. (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

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000974.02966.601131.691110.001112.48972.48972.12658.97660.99909.12836.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010097.4897.7084.2042.2143.1349.0548.9524.2324.1268.5747.65

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p112233445548.5348.5149.0249.7849.8349.7150.7047.4046.7048.8850.4836.94

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p300600900120015001279.031326.141198.781258.481257.651331.081332.68148.12148.281366.71654.98

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4080120160200144.05142.58155.30150.61151.37142.10141.03155.26156.19124.81181.36

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p140280420560700663.58671.40616.46318.59316.91337.00339.52102.82102.20511.63220.23

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4080120160200114.40113.98125.41119.05119.54112.89112.42161.23161.35101.43185.28

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000836.99840.23763.18402.57400.73424.43426.3698.9798.95629.91215.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p51015202511.3511.7511.4711.4111.2119.7419.8411.4019.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010088.0785.0487.1887.6389.1950.6450.3887.6652.23

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p142842567027.2929.4128.1028.2226.6761.3361.4338.2151.48

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p91827364536.6333.9935.5735.4337.4916.3016.2826.1719.42

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p142842567027.2128.9728.0228.0926.8161.4461.2638.3450.78

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p91827364536.7434.5035.6835.5937.3016.2716.3226.0819.69

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: GoogLeNetEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p70140210280350157.71166.76168.86295.82310.69316.07305.7064.4765.21194.59249.30

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010017.6517.7520.1138.6738.7133.6333.55106.78106.7324.2061.97

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: 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: Live9554 TwoP8380 2p71421283522.8927.681. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p6121824309.866010.03069.84789.80599.770025.478125.592510.859812.8394

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p20406080100101.3099.64101.50101.93102.3139.2339.0692.0077.83

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p800160024003200400025152461258532343307318633141894187321183868

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p3K6K9K12K15K1348113467134151355113517135271352613654136441354011140

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: 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.

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010072.6372.5480.0976.6476.8572.3372.0179.3579.5364.0188.30

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p300600900120015001318.321320.421195.83625.93624.23662.79666.05201.33200.84997.89452.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p30609012015099.0397.50111.48106.55107.6796.2395.97117.11117.0290.09120.35

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000967.23982.50858.87449.38444.97497.68499.09136.35136.54709.17331.53

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p36912155.17485.43595.22365.26135.137510.467010.55746.00209.9106

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4080120160200193.08183.78191.32189.93194.5095.4894.67166.39100.82

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p132639526543.0142.6349.1447.4747.5442.5242.3659.4759.3339.7048.34

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p50010001500200025002227.422244.191949.001010.101008.181127.361131.48268.73269.401608.99826.81

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.

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.

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-Core75F329554 TwoP8380 2p15K30K45K60K75K5323.2969090.009939.6842780.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p36912155.03345.27095.21515.21205.033311.716011.70425.31048.3167

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4080120160200198.50189.53191.61191.72198.5285.3285.40188.14120.07

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-Core75F328380 2p80160240320400376.51377.33383.28MIN: 37.24 / MAX: 10000MIN: 37.85 / MAX: 10000MIN: 56.76 / MAX: 150001. 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.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunAMD EPYC 75F3 32-Core75F328380 2p90180270360450402.41401.99396.06MIN: 43.07 / MAX: 20000MIN: 43.7 / MAX: 20000MIN: 63.69 / MAX: 150001. 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.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunAMD EPYC 75F3 32-Core75F328380 2p90180270360450387.02383.67382.84MIN: 41.29 / MAX: 8571.43MIN: 43.35 / MAX: 8571.43MIN: 64.66 / 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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p122436486033.8633.3433.4233.1233.4032.4432.7652.2252.0732.4134.6144.98

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2468105.22745.28275.20645.17445.24426.98216.97963.92104.4386

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p60120180240300191.21189.21192.00193.19190.62143.17143.22254.90224.85

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p102030405034.6534.5335.0733.7533.8433.7033.7740.9541.0234.9433.4844.411. (CXX) g++ options: -O3 -fPIC -lm

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-Core75F329554 TwoP8380 2p20K40K60K80K100K24698.124506.882027.726231.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p91827364516.8717.0618.6422.9922.7320.4520.2538.5338.9617.2723.1933.59

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-Core75F329554 TwoP8380 2p12K24K36K48K60K4386.902988.4158240.0031390.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p300K600K900K1200K1500K1323090130935411761876529356531277376887394342473622473819457245273763632041. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p200K400K600K800K1000K9405749309469083126773426731987176477195792805722775687764475656504039781. (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: GoogLeNetEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p50100150200250108.56108.94108.71227.88225.06214.98229.0065.2865.53138.44209.50

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.

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-Core75F329554 TwoP8380 2p50K100K150K200K250K160435.98165666.65241171.38197789.231. (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-Core75F329554 TwoP8380 2p100020003000400050003864.563795.43591.174737.001. (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: Context SwitchingAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p3M6M9M12M15M14657098.1514724434.097907313.684007912.581. (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-Core75F329554 TwoP8380 2p6M12M18M24M30M5593873.205591675.7728081271.009412669.511. (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-Core75F329554 TwoP8380 2p120M240M360M480M600M140011498.66139310693.59576947450.43210690160.091. (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: IO_uringAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p14K28K42K56K70K67389.9367158.1765946.5564705.571. (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: FutexAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p700K1400K2100K2800K3500K2573853.712708005.033307879.371294371.341. (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: CPU CacheAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010088.14100.4933.9515.961. (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: System V Message PassingAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2M4M6M8M10M8704140.328711498.678962692.126498292.381. (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: NUMAAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000926.64925.07904.20693.401. (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: Socket ActivityAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p20K40K60K80K100K52568.4452321.4779908.398958.771. (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-Core75F329554 TwoP8380 2p20M40M60M80M100M18586817.0318679911.5077897090.1943926099.151. (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-Core75F329554 TwoP8380 2p80016002400320040001076.681078.692624.533857.491. (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: CPU StressAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p80K160K240K320K400K85344.0485478.88366719.77213661.331. (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-Core75F329554 TwoP8380 2p400K800K1200K1600K2000K28584028641017958009094701. (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-Core75F329554 TwoP8380 2p50K100K150K200K250K55423.9455510.14250785.9285416.531. (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-Core75F329554 TwoP8380 2p600K1200K1800K2400K3000K645248.68648949.282643264.33958441.041. (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: ForkingAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p20K40K60K80K100K80179.8880711.892370.0064952.621. (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-Core75F329554 TwoP8380 2p200K400K600K800K1000K202508.20202547.60832532.65304766.811. (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: MMAPAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p9001800270036004500508.45511.984187.213557.261. (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: scryptAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p8001600240032004000554.99554.883939.462222.771. (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: Matrix MathAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p150K300K450K600K750K141942.95141780.31683986.91320154.031. (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 Qsort Data SortingAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p5001000150020002500434.57432.802210.09900.611. (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: SemaphoresAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4M8M12M16M20M6533513.166558615.4319242578.6912534447.061. (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: Memory CopyingAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p4K8K12K16K20K6643.956634.2420141.2410739.631. (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: DeepcoinAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p30K60K90K120K150K3177031760122790632701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p500K1000K1500K2000K2500K645080644780256059013232601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2M4M6M8M10M14931001476790865989043843101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p140028004200560070001399.591398.476438.592657.991. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p140028004200560070001432.981433.606463.852250.311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p200K400K600K800K1000K89790896908546304165201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p300K600K900K1200K1500K28734028734016318306222001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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-Core75F329554 TwoP8380 2p20K40K60K80K100K25865.225841.197285.740987.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p91827364519.7319.6620.4924.5224.6323.2023.2541.3441.4020.1225.3830.56

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p122436486010.5610.4611.5120.3820.8318.2118.1452.1552.2313.6031.11

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p408012016020062.4462.6963.05130.47144.38145.11144.1557.6758.2787.38167.05

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p70140210280350275.97275.75284.19317.83316.47318.90320.16332.73320.16278.06341.13246.91

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p71421283522.9424.3022.8631.1631.3231.5731.3328.6428.7323.4231.7324.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p61218243020.0920.1320.0120.7520.8320.4020.5026.1526.3220.2020.7226.70

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: AlexNetEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2004006008001000475.54545.59535.77834.42838.94870.59866.54129.35129.43645.23498.31

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p9182736457.537.478.4715.6915.4314.0013.7341.4741.419.9323.57

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p130260390520650296.29286.45289.65581.17580.97599.98600.31113.41112.33387.92402.14

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p4812162010.15410.13010.1646.5166.5406.4706.35414.50514.4627.9966.36010.499

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 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP1.34562.69124.03685.38246.7285.980525.901814.301004.351224.352004.667414.666765.922741. (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

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.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash128EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p142842567047.8347.8347.8347.8347.8347.8347.8261.3561.3550.221. (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: FarmHash128EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p5K10K15K20K25K21167.1721167.4821167.2921167.6421166.2121168.0121167.1116608.9216609.2919206.251. (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.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p132639526545.1145.1145.1145.1145.1145.1145.1157.7457.7351.421. (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: MeowHash x86_64 AES-NIEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p12K24K36K48K60K54190.5454192.2254144.8554220.2354212.9654202.2754175.0842531.5642535.2345558.181. (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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p90180270360450153.29161.41160.40360.18358.82366.73367.1492.2193.37219.45426.56306.58

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: 500MEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2468104.9254.9474.9833.9693.9593.8723.9177.1517.1184.3893.3005.324

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p20406080100104.77104.5665.3765.80109.7465.5066.6059.0173.9797.7058.7951.801. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: Spooky32EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p91827364526.8627.6226.6626.7026.6626.6827.6234.2634.2737.701. (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: Spooky32EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p4K8K12K16K20K20577.1520580.2820576.7720581.5520582.5720582.7920577.0116145.6916149.3017883.711. (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: FarmHash32 x86_64 AVXEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p9K18K27K36K45K39795.9939794.9539795.4339796.1339795.0439795.0239794.1131226.8731226.5732568.141. (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.

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 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p2040608010072.7670.5091.8891.8093.5484.0784.1869.2874.491. (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.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: fasthash32EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p71421283522.0822.0822.0822.0822.0822.0822.0828.3528.3328.831. (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: fasthash32EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p2K4K6K8K10K8803.428803.358803.408803.528775.908802.198803.736903.876907.828453.991. (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: t1ha2_atonceEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p4K8K12K16K20K20135.2019789.9620135.1420134.6920135.1920135.1720135.1015798.7615799.0920601.611. (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.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p61218243020.4720.4720.4720.4720.4720.4820.4726.2626.2625.691. (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.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64EPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p20K40K60K80K100K102425.27101829.90102396.46102376.03102315.37102400.95102394.0080341.3680231.0464712.671. (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.

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

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

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: 6, LosslessEPYC 9654 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p2468105.3235.2105.2415.1615.2265.0835.2276.5366.6515.3165.2477.4471. (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.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Read - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F324080120160200142186189

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

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 Power9554 TwoPEPYC 95548380 2p7K14K21K28K35K31218.0531247.3631248.9131198.5231201.2031197.9231245.4724475.9324509.4427859.541. (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.

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p1.30642.61283.91925.22566.5324.3224.2884.2444.1244.4274.0784.0994.7254.9454.2504.1065.8061. (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.orgMicroseconds - Average Latency, Fewer Is BetterApache HBase 2.5.0Rows: 10000 - Test: Random Write - Clients: 1EPYC 9654 2PAMD EPYC 75F3 32-Core75F32816243240363434

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

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 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoP8380 2p60120180240300265.96200.65211.70265.77221.25205.05217.75262.79193.651. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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 2PEPYC 9654 2P RepeatEPYC 9654 2P - Perf MEPYC 9654EPYC 9654 RepeatEPYC 9654 Power9654 PowerAMD EPYC 75F3 32-Core75F329554 TwoPEPYC 95548380 2p0.75711.51422.27133.02843.78552.4222.4152.4222.2902.3212.3112.2973.2653.3042.4042.3423.3651. (CXX) g++ options: -O3 -fPIC -lm

194 Results Shown

Apache HBase:
  1000000 - Increment - 500:
    Microseconds - Average Latency
    Rows Per Second
  1000000 - Increment - 256:
    Microseconds - Average Latency
    Rows Per Second
TensorFlow:
  CPU - 512 - VGG-16
  CPU - 256 - VGG-16
  CPU - 512 - ResNet-50
HammerDB - MariaDB:
  64 - 250:
    Transactions Per Minute
    New Orders Per Minute
  64 - 500:
    Transactions Per Minute
    New Orders Per Minute
  64 - 100:
    Transactions Per Minute
    New Orders Per Minute
SMHasher:
  SHA3-256:
    cycles/hash
    MiB/sec
TensorFlow
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Apache HBase:
  1000000 - Scan - 1
  10000 - Scan - 1
JPEG XL libjxl:
  JPEG - 100
  PNG - 100
FFmpeg:
  libx264 - Upload:
    FPS
    Seconds
Apache HBase:
  10000 - Increment - 500:
    Microseconds - Average Latency
    Rows Per Second
TensorFlow
Apache HBase:
  10000 - Rand Read - 500:
    Microseconds - Average Latency
    Rows Per Second
TensorFlow
FFmpeg:
  libx264 - Platform:
    FPS
    Seconds
Timed Linux Kernel Compilation
FFmpeg:
  libx264 - Video On Demand:
    FPS
    Seconds
Blender
FFmpeg:
  libx265 - Upload:
    FPS
    Seconds
  libx265 - Platform:
    FPS
    Seconds
  libx265 - Video On Demand:
    FPS
    Seconds
OpenRadioss
TensorFlow:
  CPU - 64 - ResNet-50
  CPU - 256 - GoogLeNet
Timed Node.js Compilation
TensorFlow
Apache HBase:
  10000 - Increment - 256:
    Microseconds - Average Latency
    Rows Per Second
  10000 - Rand Read - 256:
    Microseconds - Average Latency
    Rows Per Second
JPEG XL libjxl
Apache HBase
OpenRadioss
JPEG XL libjxl:
  PNG - 80
  JPEG - 90
TensorFlow
JPEG XL libjxl
Apache HBase
TensorFlow
OpenRadioss
Apache HBase:
  1000000 - Increment - 1:
    Microseconds - Average Latency
    Rows Per Second
OpenRadioss
TensorFlow
libavif avifenc
Apache HBase:
  1000000 - Rand Read - 1:
    Microseconds - Average Latency
    Rows Per Second
TensorFlow
FFmpeg:
  libx265 - Live:
    FPS
    Seconds
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Blender
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
JPEG XL Decoding libjxl
TensorFlow
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    ms/batch
    items/sec
  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
TensorFlow
Blender
FFmpeg:
  libx264 - Live:
    FPS
    Seconds
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
spaCy:
  en_core_web_trf
  en_core_web_lg
Apache HBase
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Cpuminer-Opt
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
ClickHouse:
  100M Rows Web Analytics Dataset, First Run / Cold Cache
  100M Rows Web Analytics Dataset, Second Run
  100M Rows Web Analytics Dataset, Third Run
Timed Godot Game Engine Compilation
Neural Magic DeepSparse:
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
libavif avifenc
Xmrig
OpenRadioss
Cpuminer-Opt
7-Zip Compression:
  Decompression Rating
  Compression Rating
TensorFlow
Stress-NG
Cpuminer-Opt
Stress-NG:
  Context Switching
  Glibc C String Functions
  Malloc
  IO_uring
  Futex
  CPU Cache
  System V Message Passing
  NUMA
  Socket Activity
  Mutex
  MEMFD
  CPU Stress
Cpuminer-Opt
Stress-NG:
  Crypto
  SENDFILE
  Forking
  Vector Math
  MMAP
Cpuminer-Opt
Stress-NG:
  Matrix Math
  Glibc Qsort Data Sorting
  Semaphores
  Memory Copying
Cpuminer-Opt:
  Deepcoin
  Triple SHA-256, Onecoin
  Blake-2 S
  x25x
  Magi
  LBC, LBRY Credits
  Skeincoin
Xmrig
Timed Linux Kernel Compilation
Blender
TensorFlow
JPEG XL Decoding libjxl
x265
Timed Mesa Compilation
TensorFlow
Blender
TensorFlow
Y-Cruncher
OpenFOAM
SMHasher:
  FarmHash128:
    cycles/hash
    MiB/sec
  MeowHash x86_64 AES-NI:
    cycles/hash
    MiB/sec
TensorFlow
Y-Cruncher
x264
SMHasher:
  Spooky32:
    cycles/hash
    MiB/sec
  FarmHash32 x86_64 AVX:
    MiB/sec
x265
SMHasher:
  fasthash32:
    cycles/hash
    MiB/sec
  t1ha2_atonce:
    MiB/sec
  t1ha0_aes_avx2 x86_64:
    cycles/hash
    MiB/sec
Apache HBase:
  10000 - Increment - 1:
    Microseconds - Average Latency
    Rows Per Second
libavif avifenc
Apache HBase:
  10000 - Rand Read - 1:
    Microseconds - Average Latency
    Rows Per Second
SMHasher
libavif avifenc
Apache HBase:
  10000 - Rand Write - 1:
    Microseconds - Average Latency
    Rows Per Second
x264
libavif avifenc