AMD EPYC Zen 4C Power Efficiency

AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2401147-NE-AMDEPYCZE24&sor.

AMD EPYC Zen 4C Power EfficiencyProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GAASPEEDVE2282 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.6.9-060609-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.74.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)GCC 13.2.0ext41920x1080AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a46 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG1000GB INTEL SSDPE2KX010T8llvmpipe1920x1200ASPEEDAMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads)llvmpipe4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- EPYC 7601 - Zen 1: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e- EPYC 8324P - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8324P - Zen 4C, 155W: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8324PN - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8534PN - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- EPYC 7601 - Zen 1: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324P - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324P - Zen 4C, 155W: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324PN - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8534PN - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Zen 4C Power Efficiencynginx: 500nginx: 1000openssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100duckdb: IMDBduckdb: TPC-H Parquetcassandra: Writesspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randrocksdb: Rand Readrocksdb: Read While Writingmemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5compress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-ffmpeg: Time To Compilequantlib: Multi-Threadedopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400gpaw: Carbon Nanotubelammps: 20k Atomscloverleaf: clover_bm64_shortcloverleaf: clover_bm16kripke: incompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnamd: ATPase Simulation - 327,506 Atomsquicksilver: CORAL2 P1quicksilver: CTS2y-cruncher: 500My-cruncher: 1Bmt-dgemm: Sustained Floating-Point Rateblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timev-ray: CPUindigobench: CPU - Supercarindigobench: CPU - Bedroomffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Krav1e: 10rav1e: 6x265: Bosphorus 4Kuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fasterllama-cpp: llama-2-7b.Q4_0.ggufllama-cpp: llama-2-13b.Q4_0.ggufllama-cpp: llama-2-70b-chat.Q5_0.ggufopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamtensorflow: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50xmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C94936.9990952.154497.1292445.3270153932678355425337977070348208997661081747935580060303410466375195073586.19198.940249.18915027785990445595425114478192038238461640834636951277853.471159654.3312374613349076.196752.603435.252529.398389.700394.61939.89164469.4122.25778229.494061164.3926498.23358.25414.330355.99014.240152.337357.692144.01213.781106.27954.7318179596737.98899711092.512530.97282130300001144333315.51533.9083.88677672.43191.71101.10246.71765.2021.842118.43870.488452145560281137100541708713319452.599612.452764.146555.285765.2292798.8969199148.5863.98558.0910.4021.0221.0070.77326.7533.0656.9952.96314.2922.2623.5827.296.3584.202.490.463.812096.0113039.702.4442.43188.25376.9784.77296.4226.96464.4817.2038.63206.72878.719.09188.86169.21149.0153.64246.644064.798184.4287189.3186138.0333115.777510.45271501.605168.1629234.021268.9537231.403510.33641515.67928.50971840.9494138.5291115.3465152.9618104.443612.22441289.8227128.6692124.09288.7724.8920.484973.39331.65061.35087.44687.91042.7164234.98166799.1415040.7457516.343033082363138033407473082073084372653031134571594476755171131058928778032135957.21121.485182.7752232931637717627290610223374431725016167887643943102842511.462795965.0524008321118752.144449.986258.219334.293222.067263.53324.49298717.273.513388153.15408763.50167381.881528.84861.1541532.27461.29142.089115.28880.91618.40756.91489.4726877326723.9050407608.2297160.6772818880000143133335.74711.92711.64561647.50119.5859.64148.76426.6245.508536.89171.113493626331185144152731271397379.142578.8362210.49398.797738.77043147.2533351013.5736.177109.8422.2445.0145.07182.26058.0005.91111.7904.70625.5539.2542.9446.5410.74129.7217.933.4331.25510.7152709.190.47150.74106.003102.1310.201860.658.521701.189.34194.7182.005418.925.77688.6046.39633.2125.21818.314519.5341181.232088.1549266.956759.869821.0230751.6244122.3679130.4161122.9256129.843221.0044752.512138.8202410.4658266.985659.87232193.09067.281625.8368611.1481383.700441.639751.7052.7240.5918908.925644.318922.718883.218875.24043.2149458.34151923.6213565.8457514.140200353400129939407372811918785672428305268731594310086201123440838437029490162.60122.143181.3942240341479915557162203213331131763414772176943013432789711.342720321.3022895720003454.798487.576274.946349.611234.231266.95125.67990654.175.250702163.04119779.50949382.571427.41257.0961425.32457.01341.996115.25384.37917.42357.04489.0425871616723.7732938612.2047930.7355818950000143766676.19212.88711.43484952.02130.6765.03161.95463.2743.127034.24021.033787671531281544493786101504108.788988.456349.873738.757848.75896147.2813153612.5725.720109.7122.2545.1245.06175.74655.7175.81611.8184.73125.4537.3340.5044.8110.63529.3817.092.9328.58558.2949194.550.51144.27110.772851.0111.121710.429.291563.3610.18180.3288.554977.136.3621.8251.41579.3427.56752.587421.2407169.562894.2013254.302862.815519.6390803.8219114.6161139.1784115.4212138.226319.7530801.190135.7929443.4299254.130762.88132099.32467.606424.4736647.8855357.295344.715951.0352.9140.5418129.024096.218090.918155.018088.74031.7136660.96139259.2611909.2430171.635795826073116448675902514155583702164356602071476020776501010650231237728515258.92123.667182.9342122071322481926934544198225730572913120683041073132562876.162500035.0921245817907258.519539.240300.444371.536253.142295.06027.57480175.382.15286172.68566793.87207391.361278.03051.1211276.47251.05942.257116.03190.06515.69057.52492.5024750013324.3467388628.8442990.8279018273333140300006.65313.97111.51727258.20146.9072.96182.47518.2139.600631.08140.934222740231421605004866781672097.979107.665328.893618.132318.14358147.2202817711.2495.127109.7722.2445.0344.99167.16351.5375.55111.8244.72724.0333.8236.7541.0210.29128.5617.063.1125.41627.4643375.550.57131.24121.742520.7712.581527.3210.391424.5311.15163.0997.914405.627.13555.7157.50520.2430.69674.929423.6852152.2068104.8987229.535069.603717.7641892.1039103.4399154.2821104.1306153.396817.6664894.195632.1289493.9887229.912369.50781906.38708.374521.9096722.1041320.863749.797347.7752.9040.3616892.321769.216799.216932.816877.93938.5229161.91232146.4121064.1828697.469910430987226972662074934344962504244000382072846962933731960125738538273149554.71127.201178.69824417724884261612585315227202634974524896938766880892568868.492513019.3233292234394644.423341.477190.992277.910174.002230.99019.376154830.958.610212184.16204687.42305300.622491.16599.6472489.19799.56839.330109.82765.47225.71557.42496.5528839430020.9756184563.3467810.4320021233333163000005.20710.44221.13881930.5776.3238.6695.44267.5874.926859.05131.71214640603747522544474728786015.059614.613116.895414.908614.8549164.2055420421.7679.973115.1123.3147.0347.08190.88764.3366.55612.1864.86827.5147.6549.2251.3311.27249.43644.8071960.410.61202.29157.934878.0012.972816.0911.242547.7312.47295.61108.068310.717.521086.6858.78934.5934.141287.877824.8184281.4898113.4506429.327074.427032.1554982.6109191.0676166.9491192.0616166.026732.1461982.329856.8419556.1457429.360374.41023450.43349.252040.6410776.5434613.226952.123548.5645.2336.2320484.335370.020477.120489.820487.24374.0OpenBenchmarking.org

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150K100K150K200K250KSE +/- 217.83, N = 3SE +/- 549.43, N = 3SE +/- 1108.21, N = 3SE +/- 213.01, N = 3SE +/- 911.83, N = 3229161.91164234.98149458.34136660.9694936.991. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 14008001200160020001802.111656.121536.381355.86561.58

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.782.591.8EPYC 8324P - Zen 4C, 155W12.997.3110.2EPYC 8324P - Zen 4C11.6121.1132.4EPYC 8534PN - Zen 4C12.6127.2140.0EPYC 7601 - Zen 160.9169.1178.8OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor50100150200250

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150K100K150K200K250KSE +/- 302.03, N = 3SE +/- 343.16, N = 3SE +/- 49.01, N = 3SE +/- 199.18, N = 3SE +/- 357.56, N = 3232146.41166799.14151923.62139259.2690952.151. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 14008001200160020001785.711663.271532.611365.65540.03

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.883.792.6EPYC 8324P - Zen 4C, 155W13.599.1113.1EPYC 8324P - Zen 4C12.3122.1134.6EPYC 8534PN - Zen 4C13.4130.0141.7EPYC 7601 - Zen 163.9168.4177.8OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15K10K15K20K25KSE +/- 4.13, N = 3SE +/- 2.49, N = 3SE +/- 3.08, N = 3SE +/- 3.00, N = 3SE +/- 12.09, N = 321064.115040.713565.811909.24497.11. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1200K400K600K800K1000KSE +/- 136.41, N = 3SE +/- 61.89, N = 3SE +/- 30.98, N = 3SE +/- 22.57, N = 3SE +/- 714.27, N = 3828697.4457516.3457514.1430171.6292445.31. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1150030004500600075007110.605622.235076.374477.071719.96

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.276.583.6EPYC 8324P - Zen 4C, 155W13.790.1102.2EPYC 8324P - Zen 4C13.4102.2116.0EPYC 8534PN - Zen 4C14.6116.5129.4EPYC 7601 - Zen 165.7170.0178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 115000M30000M45000M60000M75000MSE +/- 41929433.75, N = 3SE +/- 11419799.65, N = 3SE +/- 12904999.14, N = 3SE +/- 16148314.98, N = 3SE +/- 58715423.07, N = 369910430987430330823634020035340035795826073270153932671. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1120M240M360M480M600M546243197.78436238930.85416875314.97387067179.89155415474.32

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.882.190.4EPYC 8324P - Zen 4C, 155W13.596.4102.1EPYC 8324P - Zen 4C13.0111.2118.1EPYC 8534PN - Zen 4C13.1128.0136.2EPYC 7601 - Zen 165.3173.8178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15000M10000M15000M20000M25000MSE +/- 1693446.92, N = 3SE +/- 1511880.16, N = 3SE +/- 794607.82, N = 3SE +/- 3220312.96, N = 3SE +/- 7664614.59, N = 32269726620713803340747129939407371164486759083554253371. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 140M80M120M160M200M175273393.29142108901.03132126423.40122734575.9947835855.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.081.988.0EPYC 8324P - Zen 4C, 155W13.698.3106.9EPYC 8324P - Zen 4C12.8112.5125.9EPYC 8534PN - Zen 4C14.3129.5138.1EPYC 7601 - Zen 165.5174.7178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1110000M220000M330000M440000M550000MSE +/- 350336826.28, N = 3SE +/- 338919345.53, N = 3SE +/- 1389668244.12, N = 3SE +/- 43613214.37, N = 3SE +/- 228892930.90, N = 3493434496250308207308437281191878567251415558370977070348201. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1800M1600M2400M3200M4000M3626240465.702927424070.202743728420.232612982097.09559684188.57

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.985.994.2EPYC 8324P - Zen 4C, 155W13.6102.5112.1EPYC 8324P - Zen 4C13.3118.0131.8EPYC 8534PN - Zen 4C14.3136.1141.2EPYC 7601 - Zen 165.9174.6178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 190000M180000M270000M360000M450000MSE +/- 171818503.35, N = 3SE +/- 72395520.64, N = 3SE +/- 104993783.37, N = 3SE +/- 288672373.67, N = 3SE +/- 220160896.72, N = 3424400038207265303113457242830526873216435660207899766108171. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1700M1400M2100M2800M3500M3123938397.232539685896.322396310835.772258891761.22516298912.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.085.293.8EPYC 8324P - Zen 4C, 155W13.7101.3115.1EPYC 8324P - Zen 4C13.3117.4132.0EPYC 8534PN - Zen 4C14.4135.9141.5EPYC 7601 - Zen 165.3174.3178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 160000M120000M180000M240000M300000MSE +/- 8141159.25, N = 3SE +/- 3614035.56, N = 3SE +/- 2748202.21, N = 3SE +/- 4106091.67, N = 3SE +/- 18792715.18, N = 3284696293373159447675517159431008620147602077650479355800601. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1400M800M1200M1600M2000M2095501066.501694474523.221474962096.071370606684.98280245644.36

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.587.190.7EPYC 8324P - Zen 4C, 155W13.7108.1113.9EPYC 8324P - Zen 4C13.3116.3131.9EPYC 8534PN - Zen 4C14.3135.9143.4EPYC 7601 - Zen 165.3171.0177.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 140000M80000M120000M160000M200000MSE +/- 52537274.39, N = 3SE +/- 5327895.48, N = 3SE +/- 3407926.56, N = 3SE +/- 36167959.31, N = 3SE +/- 21793844.67, N = 3196012573853113105892877112344083843101065023123303410466371. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1300M600M900M1200M1500M1450412054.661181271903.831067969605.53947613075.92177417166.50

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.785.695.5EPYC 8324P - Zen 4C, 155W13.9105.2110.7EPYC 8324P - Zen 4C13.3119.4130.2EPYC 8534PN - Zen 4C14.2135.1142.3EPYC 7601 - Zen 165.9171.0177.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120M40M60M80M100MSE +/- 820005.27, N = 3SE +/- 458351.52, N = 3SE +/- 90002.32, N = 3SE +/- 1107129.95, N = 12SE +/- 395656.07, N = 38273149580321359772851527029490151950735

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.27, N = 3SE +/- 0.50, N = 3SE +/- 0.18, N = 3SE +/- 0.98, N = 12SE +/- 0.92, N = 354.7157.2158.9262.6086.19MAX: 10074.09MAX: 10096.05MAX: 10097.01MAX: 11339.9MAX: 12666.75

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.549.199.2EPYC 8324P - Zen 4C12.654.7118.9EPYC 8324P - Zen 4C, 155W13.155.6125.1EPYC 8534PN - Zen 4C12.755.7128.6EPYC 7601 - Zen 162.6113.6173.4OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor50100150200250

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3121.49122.14123.67127.20198.941. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.661.685.7EPYC 8324P - Zen 4C, 155W13.465.291.1EPYC 8324P - Zen 4C12.866.496.5EPYC 8534PN - Zen 4C13.166.695.3EPYC 7601 - Zen 162.299.7146.8OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor4080120160200

DuckDB

Benchmark: TPC-H Parquet

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150100150200250SE +/- 0.63, N = 3SE +/- 0.48, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 3SE +/- 1.55, N = 3178.70181.39182.78182.93249.191. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.149.774.3EPYC 8324P - Zen 4C, 155W13.151.085.1EPYC 8324P - Zen 4C12.251.187.6EPYC 8534PN - Zen 4C12.952.989.1EPYC 7601 - Zen 164.179.1142.3OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor4080120160200

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150K100K150K200K250KSE +/- 1997.81, N = 3SE +/- 522.48, N = 3SE +/- 371.97, N = 3SE +/- 423.47, N = 3SE +/- 1316.75, N = 8244177224034223293212207150277

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160012001800240030002829.252486.662451.592447.90977.63

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.875.087.7EPYC 8324P - Zen 4C12.791.1108.3EPYC 8324P - Zen 4C, 155W13.491.5104.6EPYC 8534PN - Zen 4C12.598.2123.2EPYC 7601 - Zen 163.3153.7181.9OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor50100150200250

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150M100M150M200M250MSE +/- 139678.30, N = 3SE +/- 141623.12, N = 3SE +/- 1751764.05, N = 3SE +/- 227689.47, N = 3SE +/- 986396.38, N = 3248842616163771762147991555132248192859904451. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1500K1000K1500K2000K2500K2534080.331749308.711658329.331624547.01505924.53

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.875.686.1EPYC 8324P - Zen 4C, 155W13.789.297.6EPYC 8534PN - Zen 4C13.198.2128.2EPYC 8324P - Zen 4C13.1100.8111.0EPYC 7601 - Zen 165.6170.0178.3OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 13M6M9M12M15MSE +/- 117697.08, N = 15SE +/- 52967.61, N = 15SE +/- 7924.49, N = 3SE +/- 50044.04, N = 3SE +/- 81525.26, N = 31258531572906107162203693454459542511. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 120K40K60K80K100K108503.0288296.4574216.6564987.0735300.60

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.878.591.1EPYC 8324P - Zen 4C, 155W13.696.5108.8EPYC 8324P - Zen 4C11.8112.2124.5EPYC 8534PN - Zen 4C12.6116.0134.1EPYC 7601 - Zen 165.3168.7178.1OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1500K1000K1500K2000K2500KSE +/- 2240.30, N = 3SE +/- 3849.48, N = 3SE +/- 1300.80, N = 3SE +/- 1833.01, N = 3SE +/- 4528.27, N = 3227202622337442133311198225714478191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 16K12K18K24K30K25808.6822326.8920899.6320292.369121.91

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.276.890.2EPYC 8324P - Zen 4C, 155W13.795.5110.7EPYC 8324P - Zen 4C13.1106.9119.8EPYC 8534PN - Zen 4C14.1112.0127.0EPYC 7601 - Zen 165.3158.7177.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 170K140K210K280K350KSE +/- 2986.90, N = 15SE +/- 167.58, N = 3SE +/- 579.72, N = 3SE +/- 863.96, N = 3SE +/- 190.36, N = 33497453176343172503057292038231. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 190018002700360045004423.424050.084047.083874.591640.50

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.969.179.1EPYC 8324P - Zen 4C12.278.388.2EPYC 8324P - Zen 4C, 155W13.678.588.0EPYC 8534PN - Zen 4C13.190.3116.2EPYC 7601 - Zen 165.1124.2142.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor4080120160200

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150M100M150M200M250MSE +/- 187915.38, N = 3SE +/- 126210.06, N = 3SE +/- 294601.47, N = 3SE +/- 242981.96, N = 3SE +/- 709803.02, N = 3248969387161678876147721769131206830846164081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1500K1000K1500K2000K2500K2230797.091742913.891652219.581613507.12499648.82

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.775.380.3EPYC 8324P - Zen 4C, 155W13.689.496.6EPYC 8324P - Zen 4C12.6100.2110.8EPYC 8534PN - Zen 4C12.8111.6129.8EPYC 7601 - Zen 166.2169.4178.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor50100150200250

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11.4M2.8M4.2M5.6M7MSE +/- 64443.01, N = 15SE +/- 38567.21, N = 15SE +/- 47925.84, N = 5SE +/- 3126.89, N = 3SE +/- 36400.82, N = 3668808943943104301343410731334636951. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 112K24K36K48K60K57031.6451316.2943556.2638762.7220446.35

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.180.093.0EPYC 8324P - Zen 4C, 155W13.598.8110.3EPYC 8324P - Zen 4C13.2113.4129.0EPYC 8534PN - Zen 4C13.7117.3138.2EPYC 7601 - Zen 165.8169.4177.9OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor50100150200250

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1600K1200K1800K2400K3000KSE +/- 3585.70, N = 3SE +/- 16343.62, N = 3SE +/- 20726.56, N = 3SE +/- 11338.77, N = 3SE +/- 10214.62, N = 32842511.462789711.342568868.492562876.161277853.471. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 19K18K27K36K45K41473.4637066.2532673.7928227.257946.04

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.361.876.7EPYC 8324P - Zen 4C, 155W13.675.393.2EPYC 8324P - Zen 4C11.287.099.1EPYC 8534PN - Zen 4C13.591.0106.9EPYC 7601 - Zen 164.4160.8178.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor50100150200250

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1600K1200K1800K2400K3000KSE +/- 10431.24, N = 3SE +/- 15002.29, N = 3SE +/- 10691.43, N = 3SE +/- 18767.16, N = 3SE +/- 11184.62, N = 32795965.052720321.302513019.322500035.091159654.331. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 19K18K27K36K45K39908.9136173.1232252.2827624.537148.89

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.362.675.6EPYC 8324P - Zen 4C, 155W13.475.293.2EPYC 8324P - Zen 4C12.086.799.3EPYC 8534PN - Zen 4C12.391.0105.2EPYC 7601 - Zen 166.5162.2178.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor50100150200250

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 170K140K210K280K350KSE +/- 303.12, N = 3SE +/- 329.87, N = 3SE +/- 172.23, N = 3SE +/- 39.63, N = 3SE +/- 1639.95, N = 33329222400832289572124581237461. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 170K140K210K280K350KSE +/- 107.49, N = 3SE +/- 111.02, N = 3SE +/- 181.34, N = 3SE +/- 170.94, N = 3SE +/- 602.42, N = 33439462111872000341790721334901. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 170014002100280035003105.302439.422334.062150.10846.16

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.373.490.8EPYC 8324P - Zen 4C, 155W13.685.7113.3EPYC 8324P - Zen 4C12.898.2130.5EPYC 8534PN - Zen 4C13.2110.8145.7EPYC 7601 - Zen 165.9157.8178.5OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor50100150200250

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.52, N = 4SE +/- 0.71, N = 3SE +/- 0.67, N = 3SE +/- 0.71, N = 3SE +/- 0.84, N = 344.4252.1454.8058.5276.20

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.666.390.0EPYC 8324P - Zen 4C, 155W13.574.0109.8EPYC 8324P - Zen 4C13.078.5123.4EPYC 8534PN - Zen 4C13.580.7135.1EPYC 7601 - Zen 163.8131.7179.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor50100150200250

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1160320480640800SE +/- 0.92, N = 3SE +/- 0.84, N = 3SE +/- 0.47, N = 3SE +/- 0.77, N = 3SE +/- 0.46, N = 3341.48449.99487.58539.24752.60

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 12.44 / Avg: 84.8 / Max: 91.97Min: 13.39 / Avg: 98.23 / Max: 106.69Min: 12.98 / Avg: 110.33 / Max: 125.92Min: 13.1 / Avg: 123.12 / Max: 141.36Min: 63.29 / Avg: 169.3 / Max: 179.46

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 190180270360450SE +/- 0.14, N = 3SE +/- 1.36, N = 3SE +/- 1.25, N = 3SE +/- 0.16, N = 3SE +/- 0.41, N = 3190.99258.22274.95300.44435.25

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.780.993.6EPYC 8324P - Zen 4C, 155W13.793.7109.1EPYC 8324P - Zen 4C13.3104.4129.2EPYC 8534PN - Zen 4C14.0111.7145.3EPYC 7601 - Zen 163.9161.3179.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor50100150200250

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1110220330440550SE +/- 0.46, N = 3SE +/- 0.60, N = 3SE +/- 1.23, N = 3SE +/- 0.95, N = 3SE +/- 1.30, N = 3277.91334.29349.61371.54529.40

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.774.893.4EPYC 8324P - Zen 4C, 155W13.685.3110.0EPYC 8324P - Zen 4C13.093.0129.4EPYC 8534PN - Zen 4C13.595.2143.0EPYC 7601 - Zen 163.2148.4179.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor50100150200250

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 180160240320400SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.67, N = 3174.00222.07234.23253.14389.70

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.878.797.6EPYC 8324P - Zen 4C, 155W13.590.5113.3EPYC 8324P - Zen 4C12.4100.3130.4EPYC 8534PN - Zen 4C13.5105.1142.2EPYC 7601 - Zen 164.0156.0178.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor50100150200250

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 190180270360450SE +/- 2.69, N = 4SE +/- 2.62, N = 9SE +/- 1.97, N = 3SE +/- 3.60, N = 3SE +/- 4.56, N = 3230.99263.53266.95295.06394.62

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.868.489.8EPYC 8324P - Zen 4C, 155W13.676.8105.3EPYC 8534PN - Zen 4C13.180.4136.2EPYC 8324P - Zen 4C11.281.5124.9EPYC 7601 - Zen 136.0132.1179.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor50100150200250

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1918273645SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 319.3824.4925.6827.5739.89

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.565.194.8EPYC 8324P - Zen 4C, 155W13.372.3109.6EPYC 8534PN - Zen 4C13.076.2137.8EPYC 8324P - Zen 4C12.876.7126.7EPYC 7601 - Zen 163.7132.0179.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor50100150200250

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 130K60K90K120K150KSE +/- 29.72, N = 3SE +/- 60.04, N = 3SE +/- 100.68, N = 3SE +/- 122.23, N = 3SE +/- 165.76, N = 3154830.998717.290654.180175.364469.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1300600900120015001273.591007.58967.97945.62384.04

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.579.695.3EPYC 8324P - Zen 4C, 155W13.393.7108.8EPYC 8324P - Zen 4C12.8104.4122.9EPYC 8534PN - Zen 4C12.5121.6136.3EPYC 7601 - Zen 164.3167.9179.0OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor50100150200250

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 130609012015058.6173.5175.2582.15122.261. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.181.888.1EPYC 8534PN - Zen 4C13.495.5133.8EPYC 8324P - Zen 4C, 155W13.797.0104.6EPYC 8324P - Zen 4C13.1115.1127.9EPYC 7601 - Zen 164.4164.4173.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor50100150200250

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 150100150200250153.15163.04172.69184.16229.491. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 130060090012001500687.42763.50779.51793.871164.391. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.296.6101.2EPYC 8324P - Zen 4C, 155W13.6107.9112.7EPYC 8324P - Zen 4C13.2117.5128.6EPYC 8534PN - Zen 4C13.8134.2139.0EPYC 7601 - Zen 165.0159.9174.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor50100150200250

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1110220330440550SE +/- 0.58, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.66, N = 3SE +/- 0.95, N = 3300.62381.88382.57391.36498.23

OpenRadioss

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 12.91 / Avg: 93.26 / Max: 99.2Min: 13.94 / Avg: 107.2 / Max: 114.81Min: 13.01 / Avg: 109.58 / Max: 120.31Min: 14.94 / Avg: 125.66 / Max: 137.92Min: 65.7 / Avg: 156.73 / Max: 172.24

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15001000150020002500SE +/- 0.47, N = 6SE +/- 0.21, N = 4SE +/- 0.86, N = 4SE +/- 1.51, N = 4SE +/- 0.43, N = 32491.171528.851427.411278.03358.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.02, N = 6SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.02, N = 399.6561.1557.1051.1214.331. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.24460.48920.73380.97841.2231.0870.7460.7180.6840.087

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.168.588.4EPYC 8324P - Zen 4C, 155W14.179.5107.9EPYC 8324P - Zen 4C12.789.5122.9EPYC 8534PN - Zen 4C14.491.7132.3EPYC 7601 - Zen 166.1164.9176.2OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor50100150200250

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15001000150020002500SE +/- 0.34, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.44, N = 32489.201532.271425.321276.47355.991. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 399.5761.2957.0151.0614.241. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.18590.37180.55770.74360.92950.8260.6450.6060.5700.084

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.179.288.9EPYC 8324P - Zen 4C, 155W13.894.1106.1EPYC 8324P - Zen 4C12.4107.5121.8EPYC 8534PN - Zen 4C12.8120.5131.6EPYC 7601 - Zen 165.5169.5175.3OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor50100150200250

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1306090120150SE +/- 0.50, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 1.85, N = 339.3342.0042.0942.26152.341. (CXX) g++ options: -O3 -fopenmp

easyWave

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.473.083.8EPYC 8324P - Zen 4C, 155W13.778.790.5EPYC 8324P - Zen 4C12.179.390.5EPYC 8534PN - Zen 4C13.385.8104.1EPYC 7601 - Zen 165.8131.1148.5OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor4080120160200

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 180160240320400SE +/- 0.94, N = 3SE +/- 0.25, N = 3SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 4.58, N = 9109.83115.25115.29116.03357.691. (CXX) g++ options: -O3 -fopenmp

easyWave

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.577.983.9EPYC 8324P - Zen 4C, 155W13.683.390.6EPYC 8324P - Zen 4C12.783.490.7EPYC 8534PN - Zen 4C13.593.9103.6EPYC 7601 - Zen 164.0131.6149.1OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor4080120160200

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1306090120150SE +/- 0.11, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 1.20, N = 365.4780.9284.3890.07144.011. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.687.698.5EPYC 8324P - Zen 4C, 155W13.6103.8117.3EPYC 8324P - Zen 4C12.8119.9137.5EPYC 8534PN - Zen 4C13.0133.5153.7EPYC 7601 - Zen 166.2166.8178.9OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor50100150200250

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1612182430SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 325.7218.4117.4215.6913.781. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.04520.09040.13560.18080.2260.2010.1920.1810.1670.080

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 12.96 / Avg: 81.74 / Max: 84.69Min: 13.86 / Avg: 96.46 / Max: 105.29Min: 13.52 / Avg: 110.02 / Max: 122.84Min: 12.93 / Avg: 128 / Max: 132.35Min: 65.64 / Avg: 172.36 / Max: 175.68

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 356.9157.0457.4257.52106.271. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.691.099.0EPYC 8324P - Zen 4C, 155W13.798.3107.3EPYC 8324P - Zen 4C13.099.2108.3EPYC 8534PN - Zen 4C13.5115.8126.2EPYC 7601 - Zen 166.3146.4160.4OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor50100150200250

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 12004006008001000SE +/- 0.34, N = 3SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 3.58, N = 3489.04489.47492.50496.55954.731. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 12.95 / Avg: 99.07 / Max: 101.75Min: 13.29 / Avg: 107.42 / Max: 111.27Min: 13.89 / Avg: 107.71 / Max: 111.6Min: 14.26 / Avg: 127.08 / Max: 131.51Min: 65.7 / Avg: 148.58 / Max: 160.53

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 160M120M180M240M300MSE +/- 1948629.96, N = 3SE +/- 634968.78, N = 3SE +/- 2369703.74, N = 3SE +/- 363531.75, N = 3SE +/- 1494376.42, N = 32883943002687732672587161672475001331817959671. (CXX) g++ options: -O3 -fopenmp -ldl

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1600K1200K1800K2400K3000K2943707.262674408.732566916.472490692.281133698.87

Kripke

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.084.1103.7EPYC 8324P - Zen 4C, 155W14.296.7118.5EPYC 8324P - Zen 4C12.6104.7123.6EPYC 8534PN - Zen 4C14.7115.8137.0EPYC 7601 - Zen 166.0160.4176.7OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor50100150200250

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1918273645SE +/- 0.18, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 320.9823.7723.9124.3537.991. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.184.899.1EPYC 8324P - Zen 4C13.392.5109.1EPYC 8324P - Zen 4C, 155W13.994.2111.7EPYC 8534PN - Zen 4C13.7109.4133.8EPYC 7601 - Zen 165.4144.5159.8OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor50100150200250

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12004006008001000SE +/- 0.84, N = 3SE +/- 0.69, N = 3SE +/- 0.57, N = 3SE +/- 0.29, N = 3SE +/- 15.13, N = 9563.35608.23612.20628.841092.511. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 12.94 / Avg: 93.37 / Max: 98.13Min: 13.85 / Avg: 102.88 / Max: 107.73Min: 12.9 / Avg: 104.53 / Max: 115.04Min: 14.11 / Avg: 126.57 / Max: 133.41Min: 65.72 / Avg: 150.35 / Max: 171.92

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 10.21890.43780.65670.87561.0945SE +/- 0.00128, N = 3SE +/- 0.00067, N = 3SE +/- 0.00161, N = 3SE +/- 0.00094, N = 3SE +/- 0.00038, N = 30.432000.677280.735580.827900.97282

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.180.990.2EPYC 8324P - Zen 4C, 155W13.994.8107.7EPYC 8324P - Zen 4C13.5106.4125.6EPYC 8534PN - Zen 4C14.7118.1142.8EPYC 7601 - Zen 165.7165.3178.5OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor50100150200250

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15M10M15M20M25MSE +/- 18559.21, N = 3SE +/- 106926.77, N = 3SE +/- 66583.28, N = 3SE +/- 24037.01, N = 3SE +/- 105830.05, N = 321233333189500001888000018273333130300001. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 150K100K150K200K250K243826.72208439.28208244.59195063.3287231.32

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.574.988.5EPYC 8324P - Zen 4C13.290.697.7EPYC 8324P - Zen 4C, 155W14.091.098.6EPYC 8534PN - Zen 4C12.3108.9118.9EPYC 7601 - Zen 165.4149.4162.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor50100150200250

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 13M6M9M12M15MSE +/- 23094.01, N = 3SE +/- 43333.33, N = 3SE +/- 29627.31, N = 3SE +/- 25166.11, N = 3SE +/- 54569.02, N = 316300000143766671431333314030000114433331. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 140K80K120K160K200K171302.45156624.76156169.03144074.4272917.48

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.881.987.7EPYC 8324P - Zen 4C11.891.493.8EPYC 8324P - Zen 4C, 155W13.792.194.7EPYC 8534PN - Zen 4C13.7113.1116.6EPYC 7601 - Zen 166.8156.9165.2OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor50100150200250

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.005, N = 5SE +/- 0.003, N = 5SE +/- 0.010, N = 5SE +/- 0.006, N = 5SE +/- 0.140, N = 75.2075.7476.1926.65315.515

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.060.299.8EPYC 8324P - Zen 4C, 155W13.666.7111.1EPYC 8534PN - Zen 4C13.971.4138.3EPYC 8324P - Zen 4C12.571.5129.1EPYC 7601 - Zen 165.5138.2179.0OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor50100150200250

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1816243240SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 310.4411.9312.8913.9733.91

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.269.498.8EPYC 8324P - Zen 4C, 155W13.577.5114.5EPYC 8324P - Zen 4C12.985.6133.1EPYC 8534PN - Zen 4C13.488.5143.6EPYC 7601 - Zen 165.7150.4179.3OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor50100150200250

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1510152025SE +/- 0.111892, N = 5SE +/- 0.076181, N = 15SE +/- 0.073791, N = 3SE +/- 0.135732, N = 3SE +/- 0.031226, N = 321.13881911.64561611.51727211.4348493.8867761. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.0540.1080.1620.2160.270.2400.1700.1400.1330.025

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.667.989.1EPYC 8324P - Zen 4C, 155W13.581.5109.9EPYC 8324P - Zen 4C12.387.3115.0EPYC 8534PN - Zen 4C12.988.1130.7EPYC 7601 - Zen 164.6154.9170.2OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor50100150200250

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11632486480SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 330.5747.5052.0258.2072.43

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.980.091.2EPYC 8324P - Zen 4C, 155W13.995.1107.1EPYC 8324P - Zen 4C13.0104.0116.7EPYC 8534PN - Zen 4C14.5114.5132.8EPYC 7601 - Zen 165.7169.3178.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 376.32119.58130.67146.90191.71

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.583.191.5EPYC 8324P - Zen 4C, 155W13.799.4106.9EPYC 8324P - Zen 4C13.3109.7119.9EPYC 8534PN - Zen 4C14.2124.3133.0EPYC 7601 - Zen 165.7174.0178.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 338.6659.6465.0372.96101.10

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.882.793.6EPYC 8324P - Zen 4C, 155W14.096.7106.3EPYC 8324P - Zen 4C12.7108.0124.1EPYC 8534PN - Zen 4C14.4119.8137.2EPYC 7601 - Zen 165.7170.3178.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 150100150200250SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 395.44148.76161.95182.47246.71

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.985.489.4EPYC 8324P - Zen 4C, 155W13.9100.5107.9EPYC 8324P - Zen 4C12.7113.1126.5EPYC 8534PN - Zen 4C14.1127.8135.8EPYC 7601 - Zen 165.4174.7178.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1160320480640800SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.25, N = 3267.58426.62463.27518.21765.20

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150Min: 13.02 / Avg: 86.74 / Max: 90.93Min: 14.03 / Avg: 103.77 / Max: 110.45Min: 13.45 / Avg: 115.42 / Max: 124.09Min: 14 / Avg: 135.09 / Max: 140.79Min: 65.59 / Avg: 175.31 / Max: 178.65

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.10, N = 5SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 374.9345.5143.1339.6021.84MIN: 73.96 / MAX: 76.92MIN: 45.23 / MAX: 46.5MIN: 42.84 / MAX: 43.66MIN: 39.34 / MAX: 40.89MIN: 21.59 / MAX: 22.16

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.16940.33880.50820.67760.8470.7530.5220.4980.4340.135

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.875.995.2EPYC 8324P - Zen 4C, 155W14.086.6107.3EPYC 8534PN - Zen 4C14.499.5140.7EPYC 8324P - Zen 4C12.7105.0134.4EPYC 7601 - Zen 165.7162.4177.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor50100150200250

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11326395265SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 359.0536.8934.2431.0818.44MIN: 57.98 / MAX: 61.17MIN: 36.22 / MAX: 37.68MIN: 33.72 / MAX: 35.12MIN: 30.63 / MAX: 31.81MIN: 18.15 / MAX: 18.78

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.18270.36540.54810.73080.91350.8120.3980.3730.3610.112

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.772.7142.1EPYC 8324PN - Zen 4C12.978.196.0EPYC 8324P - Zen 4C, 155W13.791.8110.4EPYC 8324P - Zen 4C12.5102.3133.5EPYC 7601 - Zen 165.9165.2178.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor50100150200250

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 10.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.711.111.030.930.48

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.00380.00760.01140.01520.0190.0170.0130.0120.0120.003

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.772.983.5EPYC 8324P - Zen 4C, 155W13.785.6101.3EPYC 8324P - Zen 4C13.296.0121.1EPYC 8534PN - Zen 4C12.9101.2124.6EPYC 7601 - Zen 165.5165.0174.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12K4K6K8K10KSE +/- 1.20, N = 3SE +/- 2.31, N = 3SE +/- 1.76, N = 3SE +/- 0.88, N = 3SE +/- 15.18, N = 321463493378742228452

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.773.988.3EPYC 8324P - Zen 4C, 155W13.685.3105.7EPYC 8324P - Zen 4C13.194.5126.4EPYC 8534PN - Zen 4C13.5106.9135.0EPYC 7601 - Zen 165.3144.1178.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 130K60K90K120K150KSE +/- 242.81, N = 3SE +/- 328.77, N = 3SE +/- 266.18, N = 3SE +/- 220.99, N = 3SE +/- 111.55, N = 340603626336715374023145560

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.974.987.7EPYC 8324P - Zen 4C, 155W13.785.9108.4EPYC 8324P - Zen 4C13.192.0126.7EPYC 8534PN - Zen 4C13.598.3134.6EPYC 7601 - Zen 165.5157.3178.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 160K120K180K240K300KSE +/- 78.83, N = 3SE +/- 153.74, N = 3SE +/- 87.82, N = 3SE +/- 49.00, N = 3SE +/- 491.07, N = 374752118514128154142160281137

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.279.790.8EPYC 8324P - Zen 4C, 155W13.792.5105.3EPYC 8324P - Zen 4C12.5103.1127.2EPYC 8534PN - Zen 4C13.8111.9135.9EPYC 7601 - Zen 165.1165.8178.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12K4K6K8K10KSE +/- 0.88, N = 3SE +/- 1.33, N = 3SE +/- 2.31, N = 3SE +/- 2.03, N = 3SE +/- 27.62, N = 3254441524493500410054

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.574.589.2EPYC 8324P - Zen 4C, 155W13.786.0105.2EPYC 8324P - Zen 4C12.096.2122.4EPYC 8534PN - Zen 4C12.7108.6136.1EPYC 7601 - Zen 165.8144.5178.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 140K80K120K160K200KSE +/- 85.58, N = 3SE +/- 65.51, N = 3SE +/- 239.39, N = 3SE +/- 286.09, N = 3SE +/- 111.00, N = 347472731277861086678170871

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.876.291.4EPYC 8324P - Zen 4C, 155W13.687.5106.3EPYC 8324P - Zen 4C11.196.9122.6EPYC 8534PN - Zen 4C14.2101.8135.4EPYC 7601 - Zen 165.3159.9178.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 170K140K210K280K350KSE +/- 229.98, N = 3SE +/- 125.49, N = 3SE +/- 149.58, N = 3SE +/- 85.59, N = 3SE +/- 408.43, N = 387860139737150410167209331945

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.980.890.5EPYC 8324P - Zen 4C, 155W13.794.1108.3EPYC 8324P - Zen 4C13.2105.6124.0EPYC 8534PN - Zen 4C13.9115.1136.5EPYC 7601 - Zen 165.1167.1178.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.01491, N = 3SE +/- 0.02105, N = 3SE +/- 0.02664, N = 3SE +/- 0.02953, N = 3SE +/- 0.00308, N = 315.059609.142578.788987.979102.59961

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.03020.06040.09060.12080.1510.1340.1060.0990.0860.017

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.175.389.0EPYC 8324P - Zen 4C, 155W13.788.9106.3EPYC 8324P - Zen 4C13.5105.7121.6EPYC 8534PN - Zen 4C13.7112.5134.5EPYC 7601 - Zen 165.9154.5177.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.00073, N = 3SE +/- 0.01463, N = 3SE +/- 0.02613, N = 3SE +/- 0.01310, N = 3SE +/- 0.01198, N = 314.613108.836228.456347.665322.45276

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.02930.05860.08790.11720.14650.1300.1010.0950.0830.016

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.475.589.1EPYC 8324P - Zen 4C, 155W13.789.2107.3EPYC 8324P - Zen 4C11.4106.4122.1EPYC 8534PN - Zen 4C13.8112.7134.3EPYC 7601 - Zen 165.1155.2177.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.00619, N = 3SE +/- 0.00075, N = 3SE +/- 0.00699, N = 3SE +/- 0.00484, N = 3SE +/- 0.00520, N = 316.8954010.493909.873738.893614.14655

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.0340.0680.1020.1360.170.1510.1190.1130.1070.026

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.674.986.9EPYC 8324P - Zen 4C, 155W13.787.1106.8EPYC 8324P - Zen 4C13.098.1122.1EPYC 8534PN - Zen 4C14.2111.9133.3EPYC 7601 - Zen 164.9158.4177.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.02133, N = 3SE +/- 0.00420, N = 3SE +/- 0.02372, N = 3SE +/- 0.01797, N = 3SE +/- 0.00450, N = 314.908608.797738.757848.132315.28576

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.02860.05720.08580.11440.1430.1270.1050.0910.0830.031

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.577.286.1EPYC 8324P - Zen 4C, 155W13.795.9110.1EPYC 8324P - Zen 4C13.2106.5111.2EPYC 8534PN - Zen 4C13.7117.1126.2EPYC 7601 - Zen 165.2170.3175.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.01627, N = 3SE +/- 0.00419, N = 3SE +/- 0.01425, N = 3SE +/- 0.00550, N = 3SE +/- 0.00416, N = 314.854908.770438.758968.143585.22927

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.0320.0640.0960.1280.160.1420.1110.1000.0930.034

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.673.485.4EPYC 8324P - Zen 4C, 155W13.887.3109.1EPYC 8324P - Zen 4C12.894.0110.8EPYC 8534PN - Zen 4C13.6104.4125.1EPYC 7601 - Zen 160.0155.5175.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3164.21147.28147.25147.2298.90

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 10.4410.8821.3231.7642.2051.9601.7211.5011.4600.651

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.875.188.1EPYC 8324P - Zen 4C, 155W13.685.6106.9EPYC 8324P - Zen 4C12.698.1119.5EPYC 8534PN - Zen 4C13.8112.4131.6EPYC 7601 - Zen 165.4151.9175.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 112K24K36K48K60KSE +/- 123.39, N = 3SE +/- 277.30, N = 3SE +/- 150.82, N = 3SE +/- 326.21, N = 3SE +/- 105.66, N = 35420433510315362817719914

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 1110220330440550487.44377.52361.93351.76136.76

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.274.691.5EPYC 8324P - Zen 4C, 155W13.587.1106.2EPYC 8324P - Zen 4C12.995.3122.0EPYC 8534PN - Zen 4C13.7111.2137.4EPYC 7601 - Zen 164.1145.6179.2OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor50100150200250

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1510152025SE +/- 0.020, N = 3SE +/- 0.058, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.024, N = 321.76713.57312.57211.2498.586

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.04370.08740.13110.17480.21850.1940.1370.1300.1220.051

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.482.088.8EPYC 8324P - Zen 4C, 155W13.796.6108.8EPYC 8324P - Zen 4C12.6111.0122.4EPYC 8534PN - Zen 4C13.4112.4140.3EPYC 7601 - Zen 164.9166.9178.8OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor50100150200250

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 13691215SE +/- 0.011, N = 3SE +/- 0.021, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.010, N = 39.9736.1775.7205.1273.985

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.02210.04420.06630.08840.11050.0980.0610.0580.0550.024

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.483.691.8EPYC 8324P - Zen 4C, 155W13.898.9111.2EPYC 8534PN - Zen 4C7.0101.7142.9EPYC 8324P - Zen 4C13.3112.5129.6EPYC 7601 - Zen 165.4165.8179.2OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor50100150200250

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3115.11109.84109.77109.7158.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.4590.9181.3771.8362.2952.0402.0051.9881.9770.704

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.353.871.4EPYC 8324P - Zen 4C12.055.274.9EPYC 8324P - Zen 4C, 155W13.555.574.6EPYC 8534PN - Zen 4C13.257.478.9EPYC 7601 - Zen 164.082.5112.1OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 1612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 323.3122.2522.2422.2410.401. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.09110.18220.27330.36440.45550.4050.4040.3960.3910.123

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.755.076.7EPYC 8324P - Zen 4C12.756.286.2EPYC 8324P - Zen 4C, 155W13.357.089.0EPYC 8534PN - Zen 4C12.257.789.3EPYC 7601 - Zen 163.084.5141.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 347.0345.1245.0345.0121.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.1730.3460.5190.6920.8650.7690.7660.7530.7450.241

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.958.675.3EPYC 8324P - Zen 4C12.559.875.2EPYC 8324P - Zen 4C, 155W13.360.578.2EPYC 8534PN - Zen 4C11.361.477.5EPYC 7601 - Zen 162.587.1125.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 347.0845.0745.0644.9921.001. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.1730.3460.5190.6920.8650.7690.7650.7530.7440.241

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.758.574.5EPYC 8324P - Zen 4C12.659.878.4EPYC 8324P - Zen 4C, 155W13.260.578.7EPYC 8534PN - Zen 4C12.961.579.2EPYC 7601 - Zen 137.887.0127.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 2.10, N = 5SE +/- 1.24, N = 13SE +/- 1.73, N = 6SE +/- 1.17, N = 5SE +/- 0.47, N = 3190.89182.26175.75167.1670.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.88291.76582.64873.53164.41453.9243.7393.6663.6650.726

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.544.582.7EPYC 8324P - Zen 4C, 155W13.247.9100.4EPYC 8534PN - Zen 4C12.748.6109.6EPYC 8324P - Zen 4C12.049.7112.3EPYC 7601 - Zen 165.497.5157.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11428425670SE +/- 0.39, N = 4SE +/- 0.13, N = 4SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.28, N = 564.3458.0055.7251.5426.751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.21710.43420.65130.86841.08550.9650.8820.8550.8260.215

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.558.584.2EPYC 8324P - Zen 4C, 155W13.265.297.5EPYC 8534PN - Zen 4C12.266.7108.8EPYC 8324P - Zen 4C12.470.2112.0EPYC 7601 - Zen 163.7124.3172.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor50100150200250

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1246810SE +/- 0.026, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 36.5565.9115.8165.5513.0651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.02050.0410.06150.0820.10250.0910.0900.0820.0800.024

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.661.386.3EPYC 8324P - Zen 4C, 155W13.370.5101.6EPYC 8534PN - Zen 4C12.672.9105.4EPYC 8324P - Zen 4C12.774.3120.0EPYC 7601 - Zen 163.4125.1171.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor50100150200250

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 13691215SE +/- 0.125, N = 5SE +/- 0.146, N = 4SE +/- 0.138, N = 4SE +/- 0.141, N = 4SE +/- 0.075, N = 412.18611.82411.81811.7906.995

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10EPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.05090.10180.15270.20360.25450.2260.2230.2220.2210.079

rav1e

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.252.356.9EPYC 8324P - Zen 4C12.653.158.3EPYC 8324P - Zen 4C, 155W13.353.658.5EPYC 8534PN - Zen 4C12.954.659.0EPYC 7601 - Zen 145.588.596.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor20406080100

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6EPYC 8534PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 11.09532.19063.28594.38125.4765SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 34.8684.7314.7274.7062.963

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02030.04060.06090.08120.10150.0900.0900.0890.0880.032

rav1e

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.752.459.7EPYC 8324P - Zen 4C12.553.160.2EPYC 8324P - Zen 4C, 155W13.354.061.3EPYC 8534PN - Zen 4C12.254.261.9EPYC 7601 - Zen 165.793.2104.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor20406080100

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1612182430SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 327.5125.5525.4524.0314.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.08780.17560.26340.35120.4390.3900.3620.3430.3420.112

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.161.676.0EPYC 8324P - Zen 4C, 155W13.274.491.2EPYC 8324P - Zen 4C10.474.695.5EPYC 8534PN - Zen 4C12.676.196.9EPYC 7601 - Zen 164.3128.0150.6OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor4080120160200

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.08, N = 347.6539.2537.3333.8222.26

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.12170.24340.36510.48680.60850.5410.4940.4640.4390.146

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.868.588.7EPYC 8324P - Zen 4C, 155W13.780.5105.1EPYC 8534PN - Zen 4C13.788.2122.3EPYC 8324P - Zen 4C13.089.3117.0EPYC 7601 - Zen 164.3152.6171.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

uvg266

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11122334455SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 349.2242.9440.5036.7523.58

uvg266

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.12870.25740.38610.51480.64350.5720.5350.5060.4850.155

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.568.789.9EPYC 8324P - Zen 4C, 155W13.680.0102.0EPYC 8534PN - Zen 4C12.086.0119.7EPYC 8324P - Zen 4C12.988.5116.2EPYC 7601 - Zen 165.3152.6171.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

uvg266

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11224364860SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 351.3346.5444.8141.0227.29

uvg266

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.14270.28540.42810.57080.71350.6340.6230.5810.5460.184

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.665.887.1EPYC 8324P - Zen 4C, 155W13.577.1102.8EPYC 8534PN - Zen 4C13.481.0114.6EPYC 8324P - Zen 4C12.885.3111.9EPYC 7601 - Zen 164.4148.0169.3OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 13691215SE +/- 0.012, N = 3SE +/- 0.010, N = 3SE +/- 0.030, N = 3SE +/- 0.030, N = 3SE +/- 0.044, N = 311.27210.74110.63510.2916.3581. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.03560.07120.10680.14240.1780.1580.1470.1350.1340.049

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.969.889.3EPYC 8534PN - Zen 4C13.071.1115.0EPYC 8324P - Zen 4C, 155W13.178.7103.8EPYC 8324P - Zen 4C11.880.4107.5EPYC 7601 - Zen 164.8129.1162.9OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor50100150200250

Llama.cpp

Model: llama-2-7b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1714212835SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 1529.7229.3828.564.201. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llama.cpp

Model: llama-2-7b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.07790.15580.23370.31160.38950.3460.3300.3200.032

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.682.4100.5EPYC 8324P - Zen 4C, 155W12.589.1113.3EPYC 8324P - Zen 4C11.892.9119.1EPYC 7601 - Zen 164.9132.4154.0OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor4080120160200

Llama.cpp

Model: llama-2-13b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 1217.9317.0917.062.491. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llama.cpp

Model: llama-2-13b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.04190.08380.12570.16760.20950.1860.1790.1740.019

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.691.5104.2EPYC 8324P - Zen 4C, 155W13.295.6116.7EPYC 8324P - Zen 4C12.9103.1130.5EPYC 7601 - Zen 164.3132.7166.7OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor50100150200250

Llama.cpp

Model: llama-2-70b-chat.Q5_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 8324P - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.77181.54362.31543.08723.859SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.433.112.930.461. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llama.cpp

Model: llama-2-70b-chat.Q5_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 10.0070.0140.0210.0280.0350.0310.0280.0270.003

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.8101.1109.8EPYC 8324P - Zen 4C, 155W12.2104.0121.2EPYC 8324P - Zen 4C13.0126.4141.3EPYC 7601 - Zen 164.0134.9177.0OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor50100150200250

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 349.4331.2528.5825.413.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1400800120016002000SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3510.71558.29627.46644.802096.01MIN: 471.88 / MAX: 558.37MIN: 500.71 / MAX: 574MIN: 560 / MAX: 672.37MIN: 320.58 / MAX: 691.03MIN: 2092.33 / MAX: 2113.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.878.589.0EPYC 8324P - Zen 4C, 155W13.294.1105.1EPYC 8324P - Zen 4C13.3104.3122.2EPYC 8534PN - Zen 4C13.0120.2133.3EPYC 7601 - Zen 164.8149.2164.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 115K30K45K60K75KSE +/- 93.27, N = 3SE +/- 23.70, N = 3SE +/- 37.85, N = 3SE +/- 33.66, N = 3SE +/- 8.89, N = 371960.4152709.1949194.5543375.5513039.701. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 10.5491.0981.6472.1962.745SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.470.510.570.612.44MIN: 0.27 / MAX: 11.17MIN: 0.28 / MAX: 50.42MIN: 0.29 / MAX: 15.45MIN: 0.27 / MAX: 24.31MIN: 2.39 / MAX: 9.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.079.789.2EPYC 8324P - Zen 4C, 155W13.095.1107.0EPYC 8324P - Zen 4C11.7108.3128.7EPYC 8534PN - Zen 4C13.5120.8131.1EPYC 7601 - Zen 164.4158.2170.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.77, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3SE +/- 0.65, N = 3SE +/- 0.18, N = 3202.29150.74144.27131.2442.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.62, N = 3SE +/- 0.61, N = 3SE +/- 0.84, N = 3106.00110.77121.74157.93188.25MIN: 49.62 / MAX: 149.63MIN: 56.47 / MAX: 138.98MIN: 59.66 / MAX: 172.6MIN: 61.12 / MAX: 229.82MIN: 171.32 / MAX: 233.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.087.099.0EPYC 8324P - Zen 4C, 155W13.5102.0112.3EPYC 8324P - Zen 4C13.0116.5130.1EPYC 8534PN - Zen 4C14.0135.5149.3EPYC 7601 - Zen 164.8166.9177.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 110002000300040005000SE +/- 1.98, N = 3SE +/- 0.48, N = 3SE +/- 0.72, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 34878.003102.132851.012520.77376.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.2011.1212.5812.9784.77MIN: 5.92 / MAX: 71.44MIN: 6.69 / MAX: 66.41MIN: 6.18 / MAX: 27.89MIN: 76.49 / MAX: 98.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.179.589.5EPYC 8324P - Zen 4C, 155W13.093.2104.2EPYC 8324P - Zen 4C13.4105.0123.3EPYC 8534PN - Zen 4C14.7123.5133.3EPYC 7601 - Zen 165.0150.9163.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 16001200180024003000SE +/- 0.56, N = 3SE +/- 0.21, N = 3SE +/- 0.65, N = 3SE +/- 1.22, N = 3SE +/- 0.10, N = 32816.091860.651710.421527.32296.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.529.2910.3911.2426.96MIN: 4.86 / MAX: 58.62MIN: 5.21 / MAX: 64.17MIN: 6.01 / MAX: 19.76MIN: 6.13 / MAX: 91.04MIN: 26.82 / MAX: 36.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.980.690.1EPYC 8324P - Zen 4C, 155W13.594.2105.1EPYC 8324P - Zen 4C12.7106.6124.5EPYC 8534PN - Zen 4C14.6128.8140.9EPYC 7601 - Zen 164.6153.2165.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 15001000150020002500SE +/- 2.30, N = 3SE +/- 1.86, N = 3SE +/- 1.13, N = 3SE +/- 1.32, N = 3SE +/- 1.37, N = 32547.731701.181563.361424.53464.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 39.3410.1811.1512.4717.20MIN: 5.89 / MAX: 67.06MIN: 6.06 / MAX: 60MIN: 7.24 / MAX: 68.4MIN: 7.72 / MAX: 24.35MIN: 16.21 / MAX: 31.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.682.188.2EPYC 8324P - Zen 4C, 155W13.598.0108.0EPYC 8324P - Zen 4C13.3110.5119.3EPYC 8534PN - Zen 4C14.6123.5136.6EPYC 7601 - Zen 164.7165.9176.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 160120180240300SE +/- 0.54, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3295.61194.71180.32163.0938.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 150100150200250SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.83, N = 382.0088.5597.91108.06206.72MIN: 44.77 / MAX: 103.78MIN: 48.33 / MAX: 138.85MIN: 52.76 / MAX: 116.94MIN: 53.32 / MAX: 156.54MIN: 173.41 / MAX: 362.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.685.097.1EPYC 8324P - Zen 4C, 155W13.5101.9112.7EPYC 8324P - Zen 4C13.3113.1127.7EPYC 8534PN - Zen 4C14.5131.7146.8EPYC 7601 - Zen 164.9165.7175.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12K4K6K8K10KSE +/- 9.00, N = 3SE +/- 1.73, N = 3SE +/- 1.37, N = 3SE +/- 1.85, N = 3SE +/- 0.47, N = 38310.715418.924977.134405.62878.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.776.307.137.529.09MIN: 3.23 / MAX: 59.13MIN: 3.34 / MAX: 35.73MIN: 3.71 / MAX: 59.81MIN: 3.38 / MAX: 63.31MIN: 9.03 / MAX: 17.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.280.189.9EPYC 8324P - Zen 4C, 155W13.294.2106.4EPYC 8324P - Zen 4C12.9105.9120.6EPYC 8534PN - Zen 4C14.4126.6136.6EPYC 7601 - Zen 165.0151.0162.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12004006008001000SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 5.36, N = 8SE +/- 0.39, N = 3SE +/- 0.74, N = 31086.68688.60621.82555.71188.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.04, N = 3SE +/- 0.47, N = 8SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.68, N = 346.3951.4157.5058.78169.21MIN: 30.48 / MAX: 56.26MIN: 31.75 / MAX: 122.86MIN: 36.68 / MAX: 102.88MIN: 36.54 / MAX: 118.54MIN: 140.86 / MAX: 197.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.380.789.5EPYC 8324P - Zen 4C, 155W12.795.9108.8EPYC 8324P - Zen 4C12.4106.7121.1EPYC 8534PN - Zen 4C14.7129.3140.0EPYC 7601 - Zen 164.7168.1177.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 12004006008001000SE +/- 3.62, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3934.59633.21579.34520.24149.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 11224364860SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 325.2127.5630.6934.1453.64MIN: 14.47 / MAX: 81.04MIN: 15.77 / MAX: 72.29MIN: 17.73 / MAX: 77.96MIN: 18.62 / MAX: 101.35MIN: 52.65 / MAX: 65.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.979.088.7EPYC 8324P - Zen 4C, 155W13.392.6106.0EPYC 8324P - Zen 4C11.9104.0120.7EPYC 8534PN - Zen 4C13.5124.7135.8EPYC 7601 - Zen 165.0153.8166.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 130060090012001500SE +/- 0.39, N = 3SE +/- 1.14, N = 3SE +/- 0.55, N = 3SE +/- 0.29, N = 3SE +/- 2.58, N = 31287.88818.31752.59674.93246.64

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 11428425670SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.70, N = 319.5321.2423.6924.8264.80

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.664.682.1EPYC 8324P - Zen 4C, 155W13.473.797.1EPYC 8534PN - Zen 4C13.279.6118.6EPYC 8324P - Zen 4C12.181.3112.8EPYC 7601 - Zen 164.8139.0177.3OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 160120180240300SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.71, N = 3281.49181.23169.56152.2184.43

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 1.56, N = 388.1594.20104.90113.45189.32

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.667.583.1EPYC 8324P - Zen 4C, 155W12.778.591.9EPYC 8324P - Zen 4C12.987.7109.6EPYC 8534PN - Zen 4C13.899.4123.8EPYC 7601 - Zen 165.4148.0176.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 190180270360450SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.41, N = 3429.33266.96254.30229.54138.03

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 359.8762.8269.6074.43115.78

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C11.667.879.3EPYC 8324P - Zen 4C, 155W13.280.299.0EPYC 8324P - Zen 4C13.096.8111.3EPYC 8534PN - Zen 4C13.1101.0122.6EPYC 7601 - Zen 166.0156.5177.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1714212835SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 332.1621.0219.6417.7610.45

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 130060090012001500SE +/- 1.08, N = 3SE +/- 1.07, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 3SE +/- 7.41, N = 3751.62803.82892.10982.611501.61

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.569.484.7EPYC 8324P - Zen 4C, 155W13.180.9105.1EPYC 8534PN - Zen 4C13.386.8132.4EPYC 8324P - Zen 4C12.189.9119.5EPYC 7601 - Zen 164.7140.6177.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3191.07122.37114.62103.4468.16

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 150100150200250SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.88, N = 3130.42139.18154.28166.95234.02

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.370.881.0EPYC 8324P - Zen 4C, 155W13.082.698.1EPYC 8324P - Zen 4C13.091.9117.7EPYC 8534PN - Zen 4C12.7106.4129.0EPYC 7601 - Zen 164.8157.0176.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14080120160200SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.44, N = 3192.06122.93115.42104.1368.95

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 150100150200250SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 1.50, N = 3129.84138.23153.40166.03231.40

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.669.883.0EPYC 8324P - Zen 4C, 155W13.482.5101.3EPYC 8324P - Zen 4C11.491.0116.6EPYC 8534PN - Zen 4C13.8105.5121.8EPYC 7601 - Zen 164.4156.5176.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 332.1521.0019.7517.6710.34

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 130060090012001500SE +/- 1.23, N = 3SE +/- 0.47, N = 3SE +/- 0.79, N = 3SE +/- 0.09, N = 3SE +/- 0.89, N = 3752.51801.19894.20982.331515.68

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.569.789.0EPYC 8324P - Zen 4C, 155W13.280.1102.2EPYC 8324P - Zen 4C11.888.8121.7EPYC 8534PN - Zen 4C13.5101.9133.4EPYC 7601 - Zen 165.5140.7177.7OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11326395265SE +/- 0.1049, N = 3SE +/- 0.0215, N = 3SE +/- 0.0667, N = 3SE +/- 0.0604, N = 3SE +/- 0.0850, N = 356.841938.820235.792932.12898.5097

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1400800120016002000SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 3SE +/- 6.61, N = 3410.47443.43493.99556.151840.95

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.869.881.3EPYC 8324P - Zen 4C, 155W13.181.297.7EPYC 8324P - Zen 4C13.089.2114.7EPYC 8534PN - Zen 4C13.6103.7123.1EPYC 7601 - Zen 164.6142.0172.7OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 190180270360450SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.48, N = 3429.36266.99254.13229.91138.53

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.43, N = 359.8762.8869.5174.41115.35

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 17001400210028003500SE +/- 2.41, N = 3SE +/- 7.34, N = 3SE +/- 2.41, N = 3SE +/- 2.26, N = 3SE +/- 0.21, N = 33450.432193.092099.321906.39152.96

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 120406080100SE +/- 0.0229, N = 3SE +/- 0.0078, N = 3SE +/- 0.0084, N = 3SE +/- 0.0062, N = 3SE +/- 0.1244, N = 37.28167.60648.37459.2520104.4436

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.466.576.5EPYC 8324P - Zen 4C, 155W13.277.095.3EPYC 8324P - Zen 4C12.993.1108.1EPYC 8534PN - Zen 4C12.796.8114.2EPYC 7601 - Zen 164.5159.1177.2OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1918273645SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 340.6425.8424.4721.9112.22

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 130060090012001500SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.25, N = 3SE +/- 8.56, N = 3611.15647.89722.10776.541289.82

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.860.386.0EPYC 8324P - Zen 4C, 155W13.267.0108.3EPYC 8324P - Zen 4C12.171.4119.7EPYC 8534PN - Zen 4C13.780.1127.4EPYC 7601 - Zen 164.8109.6177.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 1130260390520650SE +/- 0.38, N = 3SE +/- 1.61, N = 3SE +/- 1.23, N = 3SE +/- 0.28, N = 3SE +/- 1.39, N = 3613.23383.70357.30320.86128.67

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1306090120150SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 1.37, N = 341.6444.7249.8052.12124.09

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.764.980.5EPYC 8324P - Zen 4C, 155W13.074.196.2EPYC 8324P - Zen 4C12.881.7112.7EPYC 8534PN - Zen 4C11.892.3120.3EPYC 7601 - Zen 165.2138.7176.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 7601 - Zen 11224364860SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 351.7051.0348.5647.778.77

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 10.13140.26280.39420.52560.6570.5840.5530.5510.5190.068

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C6.781.997.1EPYC 8324P - Zen 4C, 155W13.292.6109.9EPYC 8324P - Zen 4C13.093.5112.6EPYC 8534PN - Zen 4C13.093.6109.8EPYC 7601 - Zen 164.2129.4142.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor4080120160200

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 11224364860SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 352.9152.9052.7245.2324.89MIN: 50.65 / MAX: 53.55MIN: 50.6 / MAX: 53.56MIN: 50.17 / MAX: 53.72MIN: 16.58 / MAX: 46.26MIN: 12.04 / MAX: 25.89

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 10.18160.36320.54480.72640.9080.8070.7840.7810.5520.162

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.965.679.0EPYC 8324P - Zen 4C12.867.381.3EPYC 8324P - Zen 4C, 155W13.367.881.9EPYC 8534PN - Zen 4C13.482.098.6EPYC 7601 - Zen 163.8153.6174.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor50100150200250

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1918273645SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 340.5940.5440.3636.2320.48MIN: 14.97 / MAX: 41.27MIN: 14.7 / MAX: 41.23MIN: 18.81 / MAX: 40.93MIN: 14.59 / MAX: 36.98MIN: 11.38 / MAX: 21.17

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 10.12110.24220.36330.48440.60550.5380.5270.5190.3890.127

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.675.085.7EPYC 8324P - Zen 4C12.877.188.7EPYC 8324P - Zen 4C, 155W13.178.089.1EPYC 8534PN - Zen 4C12.893.2106.3EPYC 7601 - Zen 164.7161.6173.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor50100150200250

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14K8K12K16K20KSE +/- 5.73, N = 3SE +/- 56.24, N = 3SE +/- 43.26, N = 3SE +/- 34.05, N = 3SE +/- 155.10, N = 1220484.318908.918129.016892.34973.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 14080120160200189.12174.20160.74150.5632.66

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.889.395.4EPYC 8324P - Zen 4C, 155W12.8104.1113.6EPYC 8324P - Zen 4C12.8125.6136.7EPYC 8534PN - Zen 4C13.6127.4140.9EPYC 7601 - Zen 166.9152.3164.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 18K16K24K32K40KSE +/- 47.09, N = 3SE +/- 52.06, N = 3SE +/- 6.52, N = 3SE +/- 107.46, N = 3SE +/- 120.26, N = 335370.025644.324096.221769.29331.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 7601 - Zen 160120180240300265.91247.53233.10219.8057.58

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.187.995.9EPYC 8324P - Zen 4C, 155W12.8103.4113.7EPYC 8324P - Zen 4C13.3116.4133.1EPYC 8534PN - Zen 4C14.3133.0154.3EPYC 7601 - Zen 165.7162.1172.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14K8K12K16K20KSE +/- 12.46, N = 3SE +/- 50.80, N = 3SE +/- 49.53, N = 3SE +/- 103.09, N = 3SE +/- 202.60, N = 1220477.118922.718090.916799.25061.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 14080120160200188.75172.66157.77149.2033.27

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.189.095.5EPYC 8324P - Zen 4C, 155W13.4104.8115.5EPYC 8324P - Zen 4C11.2126.8137.8EPYC 8534PN - Zen 4C14.6129.8142.6EPYC 7601 - Zen 165.4152.1165.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14K8K12K16K20KSE +/- 6.48, N = 3SE +/- 41.98, N = 3SE +/- 44.77, N = 3SE +/- 35.06, N = 3SE +/- 166.19, N = 1220489.818883.218155.016932.85087.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 14080120160200190.30173.49157.28148.1233.30

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.189.095.9EPYC 8324P - Zen 4C, 155W13.6104.6114.3EPYC 8324P - Zen 4C13.5127.5138.3EPYC 8534PN - Zen 4C14.9130.3143.1EPYC 7601 - Zen 165.9152.8165.7OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14K8K12K16K20KSE +/- 5.33, N = 3SE +/- 43.40, N = 3SE +/- 61.47, N = 3SE +/- 33.52, N = 3SE +/- 218.18, N = 1120487.218875.218088.716877.94687.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 7601 - Zen 14080120160200189.15171.50155.95148.7331.23

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.189.295.6EPYC 8324P - Zen 4C, 155W13.0105.5115.0EPYC 8324P - Zen 4C13.6126.9138.0EPYC 8534PN - Zen 4C14.1131.4143.8EPYC 7601 - Zen 165.7150.1166.7OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 19001800270036004500SE +/- 6.81, N = 3SE +/- 7.57, N = 3SE +/- 19.57, N = 3SE +/- 16.58, N = 3SE +/- 12.26, N = 34374.04043.24031.73938.51042.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8534PN - Zen 4CEPYC 7601 - Zen 1112233445550.34041.05040.52735.4817.453

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C13.078.288.5EPYC 8324P - Zen 4C12.798.5101.3EPYC 8324P - Zen 4C, 155W13.599.5102.3EPYC 8534PN - Zen 4C14.9123.3127.0EPYC 7601 - Zen 165.8139.9146.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor4080120160200

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324P - Zen 4CEPYC 8534PN - Zen 4CEPYC 7601 - Zen 14080120160200Min: 6.71 / Avg: 71.8 / Max: 108.62Min: 11.47 / Avg: 82.06 / Max: 125.14Min: 6.76 / Avg: 88.61 / Max: 141.34Min: 6.99 / Avg: 97.94 / Max: 154.25Min: 32.69 / Avg: 143.24 / Max: 192.83

Phoronix Test Suite v10.8.5