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.

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 911.83, N = 3SE +/- 549.43, N = 3SE +/- 1108.21, N = 3SE +/- 213.01, N = 3SE +/- 217.83, N = 394936.99164234.98149458.34136660.96229161.911. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000561.581355.861536.381656.121802.11

nginx

CPU Power Consumption Monitor

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

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 357.56, N = 3SE +/- 343.16, N = 3SE +/- 49.01, N = 3SE +/- 199.18, N = 3SE +/- 302.03, N = 390952.15166799.14151923.62139259.26232146.411. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000540.031365.651532.611663.271785.71

nginx

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5K10K15K20K25KSE +/- 12.09, N = 3SE +/- 2.49, N = 3SE +/- 3.08, N = 3SE +/- 3.00, N = 3SE +/- 4.13, N = 34497.115040.713565.811909.221064.11. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C200K400K600K800K1000KSE +/- 714.27, N = 3SE +/- 61.89, N = 3SE +/- 30.98, N = 3SE +/- 22.57, N = 3SE +/- 136.41, N = 3292445.3457516.3457514.1430171.6828697.41. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C150030004500600075001719.964477.075076.375622.237110.60

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C15000M30000M45000M60000M75000MSE +/- 58715423.07, N = 3SE +/- 11419799.65, N = 3SE +/- 12904999.14, N = 3SE +/- 16148314.98, N = 3SE +/- 41929433.75, N = 327015393267430330823634020035340035795826073699104309871. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C120M240M360M480M600M155415474.32387067179.89416875314.97436238930.85546243197.78

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5000M10000M15000M20000M25000MSE +/- 7664614.59, N = 3SE +/- 1511880.16, N = 3SE +/- 794607.82, N = 3SE +/- 3220312.96, N = 3SE +/- 1693446.92, N = 38355425337138033407471299394073711644867590226972662071. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40M80M120M160M200M47835855.20122734575.99132126423.40142108901.03175273393.29

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5174.7178.2EPYC 8324P - Zen 4C12.8112.5125.9EPYC 8324P - Zen 4C, 155W13.698.3106.9EPYC 8324PN - Zen 4C13.081.988.0EPYC 8534PN - Zen 4C14.3129.5138.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110000M220000M330000M440000M550000MSE +/- 228892930.90, N = 3SE +/- 338919345.53, N = 3SE +/- 1389668244.12, N = 3SE +/- 43613214.37, N = 3SE +/- 350336826.28, N = 3977070348203082073084372811918785672514155583704934344962501. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C800M1600M2400M3200M4000M559684188.572612982097.092743728420.232927424070.203626240465.70

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.9174.6178.2EPYC 8324P - Zen 4C13.3118.0131.8EPYC 8324P - Zen 4C, 155W13.6102.5112.1EPYC 8324PN - Zen 4C12.985.994.2EPYC 8534PN - Zen 4C14.3136.1141.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90000M180000M270000M360000M450000MSE +/- 220160896.72, N = 3SE +/- 72395520.64, N = 3SE +/- 104993783.37, N = 3SE +/- 288672373.67, N = 3SE +/- 171818503.35, N = 3899766108172653031134572428305268732164356602074244000382071. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C700M1400M2100M2800M3500M516298912.202258891761.222396310835.772539685896.323123938397.23

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60000M120000M180000M240000M300000MSE +/- 18792715.18, N = 3SE +/- 3614035.56, N = 3SE +/- 2748202.21, N = 3SE +/- 4106091.67, N = 3SE +/- 8141159.25, N = 3479355800601594476755171594310086201476020776502846962933731. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400M800M1200M1600M2000M280245644.361370606684.981474962096.071694474523.222095501066.50

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40000M80000M120000M160000M200000MSE +/- 21793844.67, N = 3SE +/- 5327895.48, N = 3SE +/- 3407926.56, N = 3SE +/- 36167959.31, N = 3SE +/- 52537274.39, N = 3303410466371131058928771123440838431010650231231960125738531. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C300M600M900M1200M1500M177417166.50947613075.921067969605.531181271903.831450412054.66

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.9171.0177.9EPYC 8324P - Zen 4C13.3119.4130.2EPYC 8324P - Zen 4C, 155W13.9105.2110.7EPYC 8324PN - Zen 4C12.785.695.5EPYC 8534PN - Zen 4C14.2135.1142.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20M40M60M80M100MSE +/- 395656.07, N = 3SE +/- 458351.52, N = 3SE +/- 1107129.95, N = 12SE +/- 90002.32, N = 3SE +/- 820005.27, N = 35195073580321359702949017728515282731495

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.92, N = 3SE +/- 0.50, N = 3SE +/- 0.98, N = 12SE +/- 0.18, N = 3SE +/- 0.27, N = 386.1957.2162.6058.9254.71MAX: 12666.75MAX: 10096.05MAX: 11339.9MAX: 10097.01MAX: 10074.09

Apache IoTDB

CPU Power Consumption Monitor

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

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.90, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3198.94121.49122.14123.67127.201. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 162.299.7146.8EPYC 8324P - Zen 4C12.866.496.5EPYC 8324P - Zen 4C, 155W13.465.291.1EPYC 8324PN - Zen 4C12.661.685.7EPYC 8534PN - Zen 4C13.166.695.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 1.55, N = 3SE +/- 0.21, N = 3SE +/- 0.48, N = 3SE +/- 0.25, N = 3SE +/- 0.63, N = 3249.19182.78181.39182.93178.701. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.179.1142.3EPYC 8324P - Zen 4C12.251.187.6EPYC 8324P - Zen 4C, 155W13.151.085.1EPYC 8324PN - Zen 4C12.149.774.3EPYC 8534PN - Zen 4C12.952.989.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 1316.75, N = 8SE +/- 371.97, N = 3SE +/- 522.48, N = 3SE +/- 423.47, N = 3SE +/- 1997.81, N = 3150277223293224034212207244177

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6001200180024003000977.632451.592447.902829.252486.66

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 163.3153.7181.9EPYC 8324P - Zen 4C12.791.1108.3EPYC 8324P - Zen 4C, 155W13.491.5104.6EPYC 8324PN - Zen 4C11.875.087.7EPYC 8534PN - Zen 4C12.598.2123.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50M100M150M200M250MSE +/- 986396.38, N = 3SE +/- 141623.12, N = 3SE +/- 1751764.05, N = 3SE +/- 227689.47, N = 3SE +/- 139678.30, N = 3859904451637717621479915551322481922488426161. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500K505924.531624547.011658329.331749308.712534080.33

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.6170.0178.3EPYC 8324P - Zen 4C13.1100.8111.0EPYC 8324P - Zen 4C, 155W13.789.297.6EPYC 8324PN - Zen 4C12.875.686.1EPYC 8534PN - Zen 4C13.198.2128.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3M6M9M12M15MSE +/- 81525.26, N = 3SE +/- 52967.61, N = 15SE +/- 7924.49, N = 3SE +/- 50044.04, N = 3SE +/- 117697.08, N = 155954251729061071622036934544125853151. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20K40K60K80K100K35300.6064987.0774216.6588296.45108503.02

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.3168.7178.1EPYC 8324P - Zen 4C11.8112.2124.5EPYC 8324P - Zen 4C, 155W13.696.5108.8EPYC 8324PN - Zen 4C12.878.591.1EPYC 8534PN - Zen 4C12.6116.0134.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500KSE +/- 4528.27, N = 3SE +/- 3849.48, N = 3SE +/- 1300.80, N = 3SE +/- 1833.01, N = 3SE +/- 2240.30, N = 3144781922337442133311198225722720261. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6K12K18K24K30K9121.9120899.6322326.8925808.6820292.36

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 190.36, N = 3SE +/- 579.72, N = 3SE +/- 167.58, N = 3SE +/- 863.96, N = 3SE +/- 2986.90, N = 152038233172503176343057293497451. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90018002700360045001640.504050.084047.084423.423874.59

Speedb

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50M100M150M200M250MSE +/- 709803.02, N = 3SE +/- 126210.06, N = 3SE +/- 294601.47, N = 3SE +/- 242981.96, N = 3SE +/- 187915.38, N = 3846164081616788761477217691312068302489693871. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500K499648.821613507.121652219.581742913.892230797.09

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.2169.4178.6EPYC 8324P - Zen 4C12.6100.2110.8EPYC 8324P - Zen 4C, 155W13.689.496.6EPYC 8324PN - Zen 4C12.775.380.3EPYC 8534PN - Zen 4C12.8111.6129.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1.4M2.8M4.2M5.6M7MSE +/- 36400.82, N = 3SE +/- 38567.21, N = 15SE +/- 47925.84, N = 5SE +/- 3126.89, N = 3SE +/- 64443.01, N = 15346369543943104301343410731366880891. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C12K24K36K48K60K20446.3538762.7243556.2651316.2957031.64

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.8169.4177.9EPYC 8324P - Zen 4C13.2113.4129.0EPYC 8324P - Zen 4C, 155W13.598.8110.3EPYC 8324PN - Zen 4C12.180.093.0EPYC 8534PN - Zen 4C13.7117.3138.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000KSE +/- 10214.62, N = 3SE +/- 3585.70, N = 3SE +/- 16343.62, N = 3SE +/- 11338.77, N = 3SE +/- 20726.56, N = 31277853.472842511.462789711.342562876.162568868.491. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7946.0432673.7937066.2541473.4628227.25

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.4160.8178.4EPYC 8324P - Zen 4C11.287.099.1EPYC 8324P - Zen 4C, 155W13.675.393.2EPYC 8324PN - Zen 4C11.361.876.7EPYC 8534PN - Zen 4C13.591.0106.9OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000KSE +/- 11184.62, N = 3SE +/- 10431.24, N = 3SE +/- 15002.29, N = 3SE +/- 18767.16, N = 3SE +/- 10691.43, N = 31159654.332795965.052720321.302500035.092513019.321. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7148.8932252.2836173.1239908.9127624.53

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.5162.2178.4EPYC 8324P - Zen 4C12.086.799.3EPYC 8324P - Zen 4C, 155W13.475.293.2EPYC 8324PN - Zen 4C12.362.675.6EPYC 8534PN - Zen 4C12.391.0105.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 1639.95, N = 3SE +/- 329.87, N = 3SE +/- 172.23, N = 3SE +/- 39.63, N = 3SE +/- 303.12, N = 31237462400832289572124583329221. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 602.42, N = 3SE +/- 111.02, N = 3SE +/- 181.34, N = 3SE +/- 170.94, N = 3SE +/- 107.49, N = 31334902111872000341790723439461. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C7001400210028003500846.162150.102334.062439.423105.30

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.9157.8178.5EPYC 8324P - Zen 4C12.898.2130.5EPYC 8324P - Zen 4C, 155W13.685.7113.3EPYC 8324PN - Zen 4C12.373.490.8EPYC 8534PN - Zen 4C13.2110.8145.7OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.84, N = 3SE +/- 0.71, N = 3SE +/- 0.67, N = 3SE +/- 0.71, N = 3SE +/- 0.52, N = 476.2052.1454.8058.5244.42

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 163.8131.7179.3EPYC 8324P - Zen 4C13.078.5123.4EPYC 8324P - Zen 4C, 155W13.574.0109.8EPYC 8324PN - Zen 4C12.666.390.0EPYC 8534PN - Zen 4C13.580.7135.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C160320480640800SE +/- 0.46, N = 3SE +/- 0.84, N = 3SE +/- 0.47, N = 3SE +/- 0.77, N = 3SE +/- 0.92, N = 3752.60449.99487.58539.24341.48

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.29 / Avg: 169.3 / Max: 179.46Min: 12.98 / Avg: 110.33 / Max: 125.92Min: 13.39 / Avg: 98.23 / Max: 106.69Min: 12.44 / Avg: 84.8 / Max: 91.97Min: 13.1 / Avg: 123.12 / Max: 141.36

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.41, N = 3SE +/- 1.36, N = 3SE +/- 1.25, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3435.25258.22274.95300.44190.99

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.93 / Avg: 161.3 / Max: 179Min: 13.28 / Avg: 104.41 / Max: 129.17Min: 13.68 / Avg: 93.74 / Max: 109.13Min: 12.69 / Avg: 80.86 / Max: 93.61Min: 14.01 / Avg: 111.72 / Max: 145.28

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550SE +/- 1.30, N = 3SE +/- 0.60, N = 3SE +/- 1.23, N = 3SE +/- 0.95, N = 3SE +/- 0.46, N = 3529.40334.29349.61371.54277.91

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.15 / Avg: 148.45 / Max: 179.02Min: 13.03 / Avg: 93.02 / Max: 129.4Min: 13.57 / Avg: 85.28 / Max: 109.95Min: 12.7 / Avg: 74.82 / Max: 93.37Min: 13.51 / Avg: 95.16 / Max: 142.96

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C80160240320400SE +/- 0.67, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3389.70222.07234.23253.14174.00

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.0156.0178.9EPYC 8324P - Zen 4C12.4100.3130.4EPYC 8324P - Zen 4C, 155W13.590.5113.3EPYC 8324PN - Zen 4C11.878.797.6EPYC 8534PN - Zen 4C13.5105.1142.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 4.56, N = 3SE +/- 2.62, N = 9SE +/- 1.97, N = 3SE +/- 3.60, N = 3SE +/- 2.69, N = 4394.62263.53266.95295.06230.99

Timed Gem5 Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 35.97 / Avg: 132.06 / Max: 179.19Min: 11.21 / Avg: 81.51 / Max: 124.9Min: 13.63 / Avg: 76.82 / Max: 105.31Min: 12.83 / Avg: 68.37 / Max: 89.79Min: 13.09 / Avg: 80.38 / Max: 136.2

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 339.8924.4925.6827.5719.38

Timed FFmpeg Compilation

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30K60K90K120K150KSE +/- 165.76, N = 3SE +/- 60.04, N = 3SE +/- 100.68, N = 3SE +/- 122.23, N = 3SE +/- 29.72, N = 364469.498717.290654.180175.3154830.91. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500384.04945.62967.971007.581273.59

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.3167.9179.0EPYC 8324P - Zen 4C12.8104.4122.9EPYC 8324P - Zen 4C, 155W13.393.7108.8EPYC 8324PN - Zen 4C12.579.695.3EPYC 8534PN - Zen 4C12.5121.6136.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150122.2673.5175.2582.1558.611. (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 7601 - Zen 164.4164.4173.9EPYC 8324P - Zen 4C13.1115.1127.9EPYC 8324P - Zen 4C, 155W13.797.0104.6EPYC 8324PN - Zen 4C12.181.888.1EPYC 8534PN - Zen 4C13.495.5133.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250229.49153.15163.04172.69184.161. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C300600900120015001164.39763.50779.51793.87687.421. (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

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 64.99 / Avg: 159.89 / Max: 174.86Min: 13.19 / Avg: 117.54 / Max: 128.59Min: 13.59 / Avg: 107.92 / Max: 112.72Min: 12.19 / Avg: 96.64 / Max: 101.21Min: 13.78 / Avg: 134.22 / Max: 139.03

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550SE +/- 0.95, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.66, N = 3SE +/- 0.58, N = 3498.23381.88382.57391.36300.62

OpenRadioss

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.7 / Avg: 156.73 / Max: 172.24Min: 13.01 / Avg: 109.58 / Max: 120.31Min: 13.94 / Avg: 107.2 / Max: 114.81Min: 12.91 / Avg: 93.26 / Max: 99.2Min: 14.94 / Avg: 125.66 / Max: 137.92

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 0.43, N = 3SE +/- 0.21, N = 4SE +/- 0.86, N = 4SE +/- 1.51, N = 4SE +/- 0.47, N = 6358.251528.851427.411278.032491.171. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.02, N = 614.3361.1557.1051.1299.651. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.24460.48920.73380.97841.2230.0870.6840.7180.7461.087

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.1164.9176.2EPYC 8324P - Zen 4C12.789.5122.9EPYC 8324P - Zen 4C, 155W14.179.5107.9EPYC 8324PN - Zen 4C13.168.588.4EPYC 8534PN - Zen 4C14.491.7132.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 0.44, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.34, N = 3355.991532.271425.321276.472489.201. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 314.2461.2957.0151.0699.571. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18590.37180.55770.74360.92950.0840.5700.6060.6450.826

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5169.5175.3EPYC 8324P - Zen 4C12.4107.5121.8EPYC 8324P - Zen 4C, 155W13.894.1106.1EPYC 8324PN - Zen 4C12.179.288.9EPYC 8534PN - Zen 4C12.8120.5131.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.85, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.50, N = 3152.3442.0942.0042.2639.331. (CXX) g++ options: -O3 -fopenmp

easyWave

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.8131.1148.5EPYC 8324P - Zen 4C12.179.390.5EPYC 8324P - Zen 4C, 155W13.778.790.5EPYC 8324PN - Zen 4C12.473.083.8EPYC 8534PN - Zen 4C13.385.8104.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C80160240320400SE +/- 4.58, N = 9SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 0.25, N = 3SE +/- 0.94, N = 3357.69115.29115.25116.03109.831. (CXX) g++ options: -O3 -fopenmp

easyWave

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.95 / Avg: 131.58 / Max: 149.13Min: 12.7 / Avg: 83.41 / Max: 90.65Min: 13.63 / Avg: 83.31 / Max: 90.62Min: 11.53 / Avg: 77.93 / Max: 83.94Min: 13.47 / Avg: 93.86 / Max: 103.6

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.20, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3144.0180.9284.3890.0765.471. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.2166.8178.9EPYC 8324P - Zen 4C12.8119.9137.5EPYC 8324P - Zen 4C, 155W13.6103.8117.3EPYC 8324PN - Zen 4C12.687.698.5EPYC 8534PN - Zen 4C13.0133.5153.7OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 313.7818.4117.4215.6925.721. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.04520.09040.13560.18080.2260.0800.1670.1810.1920.201

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.64 / Avg: 172.36 / Max: 175.68Min: 13.52 / Avg: 110.02 / Max: 122.84Min: 13.86 / Avg: 96.46 / Max: 105.29Min: 12.96 / Avg: 81.74 / Max: 84.69Min: 12.93 / Avg: 128 / Max: 132.35

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3106.2756.9157.0457.5257.421. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 3.58, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3954.73489.47489.04492.50496.551. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.7 / Avg: 148.58 / Max: 160.53Min: 13.29 / Avg: 107.42 / Max: 111.27Min: 13.89 / Avg: 107.71 / Max: 111.6Min: 12.95 / Avg: 99.07 / Max: 101.75Min: 14.26 / Avg: 127.08 / Max: 131.51

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60M120M180M240M300MSE +/- 1494376.42, N = 3SE +/- 634968.78, N = 3SE +/- 2369703.74, N = 3SE +/- 363531.75, N = 3SE +/- 1948629.96, N = 31817959672687732672587161672475001332883943001. (CXX) g++ options: -O3 -fopenmp -ldl

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000K1133698.872566916.472674408.732943707.262490692.28

Kripke

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.0160.4176.7EPYC 8324P - Zen 4C12.6104.7123.6EPYC 8324P - Zen 4C, 155W14.296.7118.5EPYC 8324PN - Zen 4C13.084.1103.7EPYC 8534PN - Zen 4C14.7115.8137.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 337.9923.9123.7724.3520.981. (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 7601 - Zen 165.4144.5159.8EPYC 8324P - Zen 4C13.392.5109.1EPYC 8324P - Zen 4C, 155W13.994.2111.7EPYC 8324PN - Zen 4C13.184.899.1EPYC 8534PN - Zen 4C13.7109.4133.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 15.13, N = 9SE +/- 0.69, N = 3SE +/- 0.57, N = 3SE +/- 0.29, N = 3SE +/- 0.84, N = 31092.51608.23612.20628.84563.351. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.72 / Avg: 150.35 / Max: 171.92Min: 12.9 / Avg: 104.53 / Max: 115.04Min: 13.85 / Avg: 102.88 / Max: 107.73Min: 12.94 / Avg: 93.37 / Max: 98.13Min: 14.11 / Avg: 126.57 / Max: 133.41

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.21890.43780.65670.87561.0945SE +/- 0.00038, N = 3SE +/- 0.00067, N = 3SE +/- 0.00161, N = 3SE +/- 0.00094, N = 3SE +/- 0.00128, N = 30.972820.677280.735580.827900.43200

NAMD

CPU Power Consumption Monitor

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

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5M10M15M20M25MSE +/- 105830.05, N = 3SE +/- 66583.28, N = 3SE +/- 106926.77, N = 3SE +/- 24037.01, N = 3SE +/- 18559.21, N = 313030000188800001895000018273333212333331. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250K87231.32208439.28208244.59243826.72195063.32

Quicksilver

CPU Power Consumption Monitor

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

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3M6M9M12M15MSE +/- 54569.02, N = 3SE +/- 29627.31, N = 3SE +/- 43333.33, N = 3SE +/- 25166.11, N = 3SE +/- 23094.01, N = 311443333143133331437666714030000163000001. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40K80K120K160K200K72917.48156624.76156169.03171302.45144074.42

Quicksilver

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 66.78 / Avg: 156.94 / Max: 165.21Min: 11.82 / Avg: 91.39 / Max: 93.79Min: 13.73 / Avg: 92.06 / Max: 94.71Min: 12.79 / Avg: 81.9 / Max: 87.72Min: 13.67 / Avg: 113.14 / Max: 116.64

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.140, N = 7SE +/- 0.003, N = 5SE +/- 0.010, N = 5SE +/- 0.006, N = 5SE +/- 0.005, N = 515.5155.7476.1926.6535.207

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5138.2179.0EPYC 8324P - Zen 4C12.571.5129.1EPYC 8324P - Zen 4C, 155W13.666.7111.1EPYC 8324PN - Zen 4C12.060.299.8EPYC 8534PN - Zen 4C13.971.4138.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C816243240SE +/- 0.10, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 433.9111.9312.8913.9710.44

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7150.4179.3EPYC 8324P - Zen 4C12.985.6133.1EPYC 8324P - Zen 4C, 155W13.577.5114.5EPYC 8324PN - Zen 4C12.269.498.8EPYC 8534PN - Zen 4C13.488.5143.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C510152025SE +/- 0.031226, N = 3SE +/- 0.076181, N = 15SE +/- 0.135732, N = 3SE +/- 0.073791, N = 3SE +/- 0.111892, N = 53.88677611.64561611.43484911.51727221.1388191. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0540.1080.1620.2160.270.0250.1330.1400.1700.240

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.6154.9170.2EPYC 8324P - Zen 4C12.387.3115.0EPYC 8324P - Zen 4C, 155W13.581.5109.9EPYC 8324PN - Zen 4C12.667.989.1EPYC 8534PN - Zen 4C12.988.1130.7OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1632486480SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 372.4347.5052.0258.2030.57

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7169.3178.5EPYC 8324P - Zen 4C13.0104.0116.7EPYC 8324P - Zen 4C, 155W13.995.1107.1EPYC 8324PN - Zen 4C12.980.091.2EPYC 8534PN - Zen 4C14.5114.5132.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3191.71119.58130.67146.9076.32

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7174.0178.2EPYC 8324P - Zen 4C13.3109.7119.9EPYC 8324P - Zen 4C, 155W13.799.4106.9EPYC 8324PN - Zen 4C12.583.191.5EPYC 8534PN - Zen 4C14.2124.3133.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3101.1059.6465.0372.9638.66

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7170.3178.6EPYC 8324P - Zen 4C12.7108.0124.1EPYC 8324P - Zen 4C, 155W14.096.7106.3EPYC 8324PN - Zen 4C12.882.793.6EPYC 8534PN - Zen 4C14.4119.8137.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3246.71148.76161.95182.4795.44

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.4174.7178.7EPYC 8324P - Zen 4C12.7113.1126.5EPYC 8324P - Zen 4C, 155W13.9100.5107.9EPYC 8324PN - Zen 4C12.985.489.4EPYC 8534PN - Zen 4C14.1127.8135.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C160320480640800SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.08, N = 3765.20426.62463.27518.21267.58

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.59 / Avg: 175.31 / Max: 178.65Min: 13.45 / Avg: 115.42 / Max: 124.09Min: 14.03 / Avg: 103.77 / Max: 110.45Min: 13.02 / Avg: 86.74 / Max: 90.93Min: 14 / Avg: 135.09 / Max: 140.79

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 521.8445.5143.1339.6074.93MIN: 21.59 / MAX: 22.16MIN: 45.23 / MAX: 46.5MIN: 42.84 / MAX: 43.66MIN: 39.34 / MAX: 40.89MIN: 73.96 / MAX: 76.92

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.16940.33880.50820.67760.8470.1350.4340.4980.5220.753

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7162.4177.6EPYC 8324P - Zen 4C12.7105.0134.4EPYC 8324P - Zen 4C, 155W14.086.6107.3EPYC 8324PN - Zen 4C12.875.995.2EPYC 8534PN - Zen 4C14.499.5140.7OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1326395265SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 318.4436.8934.2431.0859.05MIN: 18.15 / MAX: 18.78MIN: 36.22 / MAX: 37.68MIN: 33.72 / MAX: 35.12MIN: 30.63 / MAX: 31.81MIN: 57.98 / MAX: 61.17

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18270.36540.54810.73080.91350.1120.3610.3730.3980.812

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.9165.2178.1EPYC 8324P - Zen 4C12.5102.3133.5EPYC 8324P - Zen 4C, 155W13.791.8110.4EPYC 8324PN - Zen 4C12.978.196.0EPYC 8534PN - Zen 4C13.772.7142.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.481.111.030.931.71

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.00380.00760.01140.01520.0190.0030.0120.0120.0130.017

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5165.0174.6EPYC 8324P - Zen 4C13.296.0121.1EPYC 8324P - Zen 4C, 155W13.785.6101.3EPYC 8324PN - Zen 4C11.772.983.5EPYC 8534PN - Zen 4C12.9101.2124.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 15.18, N = 3SE +/- 2.31, N = 3SE +/- 1.76, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 384523493378742222146

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.3144.1178.5EPYC 8324P - Zen 4C13.194.5126.4EPYC 8324P - Zen 4C, 155W13.685.3105.7EPYC 8324PN - Zen 4C12.773.988.3EPYC 8534PN - Zen 4C13.5106.9135.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30K60K90K120K150KSE +/- 111.55, N = 3SE +/- 328.77, N = 3SE +/- 266.18, N = 3SE +/- 220.99, N = 3SE +/- 242.81, N = 314556062633671537402340603

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5157.3178.6EPYC 8324P - Zen 4C13.192.0126.7EPYC 8324P - Zen 4C, 155W13.785.9108.4EPYC 8324PN - Zen 4C12.974.987.7EPYC 8534PN - Zen 4C13.598.3134.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60K120K180K240K300KSE +/- 491.07, N = 3SE +/- 153.74, N = 3SE +/- 87.82, N = 3SE +/- 49.00, N = 3SE +/- 78.83, N = 328113711851412815414216074752

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.1165.8178.7EPYC 8324P - Zen 4C12.5103.1127.2EPYC 8324P - Zen 4C, 155W13.792.5105.3EPYC 8324PN - Zen 4C12.279.790.8EPYC 8534PN - Zen 4C13.8111.9135.9OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 27.62, N = 3SE +/- 1.33, N = 3SE +/- 2.31, N = 3SE +/- 2.03, N = 3SE +/- 0.88, N = 3100544152449350042544

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.8144.5178.8EPYC 8324P - Zen 4C12.096.2122.4EPYC 8324P - Zen 4C, 155W13.786.0105.2EPYC 8324PN - Zen 4C12.574.589.2EPYC 8534PN - Zen 4C12.7108.6136.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40K80K120K160K200KSE +/- 111.00, N = 3SE +/- 65.51, N = 3SE +/- 239.39, N = 3SE +/- 286.09, N = 3SE +/- 85.58, N = 317087173127786108667847472

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.3159.9178.7EPYC 8324P - Zen 4C11.196.9122.6EPYC 8324P - Zen 4C, 155W13.687.5106.3EPYC 8324PN - Zen 4C12.876.291.4EPYC 8534PN - Zen 4C14.2101.8135.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 408.43, N = 3SE +/- 125.49, N = 3SE +/- 149.58, N = 3SE +/- 85.59, N = 3SE +/- 229.98, N = 333194513973715041016720987860

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.1167.1178.6EPYC 8324P - Zen 4C13.2105.6124.0EPYC 8324P - Zen 4C, 155W13.794.1108.3EPYC 8324PN - Zen 4C12.980.890.5EPYC 8534PN - Zen 4C13.9115.1136.5OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00308, N = 3SE +/- 0.02105, N = 3SE +/- 0.02664, N = 3SE +/- 0.02953, N = 3SE +/- 0.01491, N = 32.599619.142578.788987.9791015.05960

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.03020.06040.09060.12080.1510.0170.0860.0990.1060.134

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.9154.5177.4EPYC 8324P - Zen 4C13.5105.7121.6EPYC 8324P - Zen 4C, 155W13.788.9106.3EPYC 8324PN - Zen 4C13.175.389.0EPYC 8534PN - Zen 4C13.7112.5134.5OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.01198, N = 3SE +/- 0.01463, N = 3SE +/- 0.02613, N = 3SE +/- 0.01310, N = 3SE +/- 0.00073, N = 32.452768.836228.456347.6653214.61310

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02930.05860.08790.11720.14650.0160.0830.0950.1010.130

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.1155.2177.3EPYC 8324P - Zen 4C11.4106.4122.1EPYC 8324P - Zen 4C, 155W13.789.2107.3EPYC 8324PN - Zen 4C12.475.589.1EPYC 8534PN - Zen 4C13.8112.7134.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00520, N = 3SE +/- 0.00075, N = 3SE +/- 0.00699, N = 3SE +/- 0.00484, N = 3SE +/- 0.00619, N = 34.1465510.493909.873738.8936116.89540

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0340.0680.1020.1360.170.0260.1070.1130.1190.151

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.9158.4177.4EPYC 8324P - Zen 4C13.098.1122.1EPYC 8324P - Zen 4C, 155W13.787.1106.8EPYC 8324PN - Zen 4C12.674.986.9EPYC 8534PN - Zen 4C14.2111.9133.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00450, N = 3SE +/- 0.00420, N = 3SE +/- 0.02372, N = 3SE +/- 0.01797, N = 3SE +/- 0.02133, N = 35.285768.797738.757848.1323114.90860

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02860.05720.08580.11440.1430.0310.0830.0910.1050.127

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.2170.3175.8EPYC 8324P - Zen 4C13.2106.5111.2EPYC 8324P - Zen 4C, 155W13.795.9110.1EPYC 8324PN - Zen 4C12.577.286.1EPYC 8534PN - Zen 4C13.7117.1126.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00416, N = 3SE +/- 0.00419, N = 3SE +/- 0.01425, N = 3SE +/- 0.00550, N = 3SE +/- 0.01627, N = 35.229278.770438.758968.1435814.85490

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0320.0640.0960.1280.160.0340.0930.1000.1110.142

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 160.0155.5175.7EPYC 8324P - Zen 4C12.894.0110.8EPYC 8324P - Zen 4C, 155W13.887.3109.1EPYC 8324PN - Zen 4C12.673.485.4EPYC 8534PN - Zen 4C13.6104.4125.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 398.90147.25147.28147.22164.21

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.4410.8821.3231.7642.2050.6511.5011.7211.9601.460

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.4151.9175.1EPYC 8324P - Zen 4C12.698.1119.5EPYC 8324P - Zen 4C, 155W13.685.6106.9EPYC 8324PN - Zen 4C12.875.188.1EPYC 8534PN - Zen 4C13.8112.4131.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C12K24K36K48K60KSE +/- 105.66, N = 3SE +/- 277.30, N = 3SE +/- 150.82, N = 3SE +/- 326.21, N = 3SE +/- 123.39, N = 31991433510315362817754204

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550136.76351.76361.93377.52487.44

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.1145.6179.2EPYC 8324P - Zen 4C12.995.3122.0EPYC 8324P - Zen 4C, 155W13.587.1106.2EPYC 8324PN - Zen 4C12.274.691.5EPYC 8534PN - Zen 4C13.7111.2137.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C510152025SE +/- 0.024, N = 3SE +/- 0.058, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.020, N = 38.58613.57312.57211.24921.767

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.04370.08740.13110.17480.21850.0510.1220.1300.1370.194

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.9166.9178.8EPYC 8324P - Zen 4C12.6111.0122.4EPYC 8324P - Zen 4C, 155W13.796.6108.8EPYC 8324PN - Zen 4C12.482.088.8EPYC 8534PN - Zen 4C13.4112.4140.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.010, N = 3SE +/- 0.021, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 33.9856.1775.7205.1279.973

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02210.04420.06630.08840.11050.0240.0550.0580.0610.098

IndigoBench

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 358.09109.84109.71109.77115.111. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.4590.9181.3771.8362.2950.7041.9881.9772.0402.005

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.4022.2422.2522.2423.311. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.09110.18220.27330.36440.45550.1230.3960.3910.4050.404

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 321.0245.0145.1245.0347.031. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.1730.3460.5190.6920.8650.2410.7530.7450.7690.766

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 162.587.1125.3EPYC 8324P - Zen 4C12.559.875.2EPYC 8324P - Zen 4C, 155W13.360.578.2EPYC 8324PN - Zen 4C11.958.675.3EPYC 8534PN - Zen 4C11.361.477.5OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 321.0045.0745.0644.9947.081. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.1730.3460.5190.6920.8650.2410.7530.7440.7690.765

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 137.887.0127.4EPYC 8324P - Zen 4C12.659.878.4EPYC 8324P - Zen 4C, 155W13.260.578.7EPYC 8324PN - Zen 4C12.758.574.5EPYC 8534PN - Zen 4C12.961.579.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.47, N = 3SE +/- 1.24, N = 13SE +/- 1.73, N = 6SE +/- 1.17, N = 5SE +/- 2.10, N = 570.77182.26175.75167.16190.891. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.88291.76582.64873.53164.41450.7263.6653.6663.7393.924

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.497.5157.6EPYC 8324P - Zen 4C12.049.7112.3EPYC 8324P - Zen 4C, 155W13.247.9100.4EPYC 8324PN - Zen 4C12.544.582.7EPYC 8534PN - Zen 4C12.748.6109.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1428425670SE +/- 0.28, N = 5SE +/- 0.13, N = 4SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.39, N = 426.7558.0055.7251.5464.341. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.21710.43420.65130.86841.08550.2150.8260.8550.8820.965

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 163.7124.3172.5EPYC 8324P - Zen 4C12.470.2112.0EPYC 8324P - Zen 4C, 155W13.265.297.5EPYC 8324PN - Zen 4C12.558.584.2EPYC 8534PN - Zen 4C12.266.7108.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C246810SE +/- 0.004, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.026, N = 33.0655.9115.8165.5516.5561. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02050.0410.06150.0820.10250.0240.0800.0820.0910.090

SVT-AV1

CPU Power Consumption Monitor

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

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.075, N = 4SE +/- 0.141, N = 4SE +/- 0.138, N = 4SE +/- 0.146, N = 4SE +/- 0.125, N = 56.99511.79011.81811.82412.186

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.05090.10180.15270.20360.25450.0790.2220.2210.2260.223

rav1e

CPU Power Consumption Monitor

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

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1.09532.19063.28594.38125.4765SE +/- 0.020, N = 3SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 32.9634.7064.7314.7274.868

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02030.04060.06090.08120.10150.0320.0890.0880.0900.090

rav1e

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.793.2104.7EPYC 8324P - Zen 4C12.553.160.2EPYC 8324P - Zen 4C, 155W13.354.061.3EPYC 8324PN - Zen 4C12.752.459.7EPYC 8534PN - Zen 4C12.254.261.9OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 314.2925.5525.4524.0327.511. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.08780.17560.26340.35120.4390.1120.3430.3420.3900.362

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.3128.0150.6EPYC 8324P - Zen 4C10.474.695.5EPYC 8324P - Zen 4C, 155W13.274.491.2EPYC 8324PN - Zen 4C12.161.676.0EPYC 8534PN - Zen 4C12.676.196.9OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.08, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.04, N = 422.2639.2537.3333.8247.65

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12170.24340.36510.48680.60850.1460.4390.4640.4940.541

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.3152.6171.9EPYC 8324P - Zen 4C13.089.3117.0EPYC 8324P - Zen 4C, 155W13.780.5105.1EPYC 8324PN - Zen 4C12.868.588.7EPYC 8534PN - Zen 4C13.788.2122.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 423.5842.9440.5036.7549.22

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12870.25740.38610.51480.64350.1550.4850.5060.5350.572

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.3152.6171.2EPYC 8324P - Zen 4C12.988.5116.2EPYC 8324P - Zen 4C, 155W13.680.0102.0EPYC 8324PN - Zen 4C12.568.789.9EPYC 8534PN - Zen 4C12.086.0119.7OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.03, N = 3SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.14, N = 427.2946.5444.8141.0251.33

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.14270.28540.42810.57080.71350.1840.5460.5810.6230.634

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.4148.0169.3EPYC 8324P - Zen 4C12.885.3111.9EPYC 8324P - Zen 4C, 155W13.577.1102.8EPYC 8324PN - Zen 4C12.665.887.1EPYC 8534PN - Zen 4C13.481.0114.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.044, N = 3SE +/- 0.010, N = 3SE +/- 0.030, N = 3SE +/- 0.030, N = 3SE +/- 0.012, N = 36.35810.74110.63510.29111.2721. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.03560.07120.10680.14240.1780.0490.1340.1350.1470.158

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8129.1162.9EPYC 8324P - Zen 4C11.880.4107.5EPYC 8324P - Zen 4C, 155W13.178.7103.8EPYC 8324PN - Zen 4C12.969.889.3EPYC 8534PN - Zen 4C13.071.1115.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C714212835SE +/- 0.12, N = 15SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 34.2029.7229.3828.561. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.07790.15580.23370.31160.38950.0320.3200.3300.346

Llama.cpp

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 64.91 / Avg: 132.4 / Max: 153.98Min: 11.76 / Avg: 92.91 / Max: 119.13Min: 12.5 / Avg: 89.09 / Max: 113.31Min: 12.62 / Avg: 82.44 / Max: 100.45

Llama.cpp

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

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C48121620SE +/- 0.03, N = 12SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 32.4917.9317.0917.061. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.04190.08380.12570.16760.20950.0190.1740.1790.186

Llama.cpp

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 64.3 / Avg: 132.73 / Max: 166.67Min: 12.93 / Avg: 103.08 / Max: 130.52Min: 13.19 / Avg: 95.63 / Max: 116.67Min: 12.55 / Avg: 91.51 / Max: 104.23

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.77181.54362.31543.08723.859SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.463.432.933.111. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.0070.0140.0210.0280.0350.0030.0270.0280.031

Llama.cpp

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 63.96 / Avg: 134.92 / Max: 177.01Min: 12.95 / Avg: 126.42 / Max: 141.34Min: 12.23 / Avg: 103.99 / Max: 121.16Min: 12.75 / Avg: 101.14 / Max: 109.8

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 33.8131.2528.5825.4149.431. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 32096.01510.71558.29627.46644.80MIN: 2092.33 / MAX: 2113.24MIN: 471.88 / MAX: 558.37MIN: 500.71 / MAX: 574MIN: 560 / MAX: 672.37MIN: 320.58 / MAX: 691.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8149.2164.7EPYC 8324P - Zen 4C13.3104.3122.2EPYC 8324P - Zen 4C, 155W13.294.1105.1EPYC 8324PN - Zen 4C12.878.589.0EPYC 8534PN - Zen 4C13.0120.2133.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C15K30K45K60K75KSE +/- 8.89, N = 3SE +/- 23.70, N = 3SE +/- 37.85, N = 3SE +/- 33.66, N = 3SE +/- 93.27, N = 313039.7052709.1949194.5543375.5571960.411. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.5491.0981.6472.1962.745SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.440.470.510.570.61MIN: 2.39 / MAX: 9.34MIN: 0.27 / MAX: 11.17MIN: 0.28 / MAX: 50.42MIN: 0.29 / MAX: 15.45MIN: 0.27 / MAX: 24.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.4158.2170.3EPYC 8324P - Zen 4C11.7108.3128.7EPYC 8324P - Zen 4C, 155W13.095.1107.0EPYC 8324PN - Zen 4C13.079.789.2EPYC 8534PN - Zen 4C13.5120.8131.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.18, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3SE +/- 0.65, N = 3SE +/- 0.77, N = 342.43150.74144.27131.24202.291. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.84, N = 3SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.62, N = 3SE +/- 0.61, N = 3188.25106.00110.77121.74157.93MIN: 171.32 / MAX: 233.13MIN: 49.62 / MAX: 149.63MIN: 56.47 / MAX: 138.98MIN: 59.66 / MAX: 172.6MIN: 61.12 / MAX: 229.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8166.9177.2EPYC 8324P - Zen 4C13.0116.5130.1EPYC 8324P - Zen 4C, 155W13.5102.0112.3EPYC 8324PN - Zen 4C13.087.099.0EPYC 8534PN - Zen 4C14.0135.5149.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C10002000300040005000SE +/- 0.03, N = 3SE +/- 0.48, N = 3SE +/- 0.72, N = 3SE +/- 0.51, N = 3SE +/- 1.98, N = 3376.973102.132851.012520.774878.001. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 384.7710.2011.1212.5812.97MIN: 76.49 / MAX: 98.5MIN: 5.92 / MAX: 71.44MIN: 6.69 / MAX: 66.41MIN: 6.18 / MAX: 27.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.0150.9163.1EPYC 8324P - Zen 4C13.4105.0123.3EPYC 8324P - Zen 4C, 155W13.093.2104.2EPYC 8324PN - Zen 4C12.179.589.5EPYC 8534PN - Zen 4C14.7123.5133.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6001200180024003000SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.65, N = 3SE +/- 1.22, N = 3SE +/- 0.56, N = 3296.421860.651710.421527.322816.091. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 326.968.529.2910.3911.24MIN: 26.82 / MAX: 36.46MIN: 4.86 / MAX: 58.62MIN: 5.21 / MAX: 64.17MIN: 6.01 / MAX: 19.76MIN: 6.13 / MAX: 91.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.6153.2165.8EPYC 8324P - Zen 4C12.7106.6124.5EPYC 8324P - Zen 4C, 155W13.594.2105.1EPYC 8324PN - Zen 4C12.980.690.1EPYC 8534PN - Zen 4C14.6128.8140.9OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 1.37, N = 3SE +/- 1.86, N = 3SE +/- 1.13, N = 3SE +/- 1.32, N = 3SE +/- 2.30, N = 3464.481701.181563.361424.532547.731. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.209.3410.1811.1512.47MIN: 16.21 / MAX: 31.68MIN: 5.89 / MAX: 67.06MIN: 6.06 / MAX: 60MIN: 7.24 / MAX: 68.4MIN: 7.72 / MAX: 24.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.7165.9176.2EPYC 8324P - Zen 4C13.3110.5119.3EPYC 8324P - Zen 4C, 155W13.598.0108.0EPYC 8324PN - Zen 4C12.682.188.2EPYC 8534PN - Zen 4C14.6123.5136.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60120180240300SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.54, N = 338.63194.71180.32163.09295.611. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.83, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3206.7282.0088.5597.91108.06MIN: 173.41 / MAX: 362.84MIN: 44.77 / MAX: 103.78MIN: 48.33 / MAX: 138.85MIN: 52.76 / MAX: 116.94MIN: 53.32 / MAX: 156.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.9165.7175.9EPYC 8324P - Zen 4C13.3113.1127.7EPYC 8324P - Zen 4C, 155W13.5101.9112.7EPYC 8324PN - Zen 4C12.685.097.1EPYC 8534PN - Zen 4C14.5131.7146.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 0.47, N = 3SE +/- 1.73, N = 3SE +/- 1.37, N = 3SE +/- 1.85, N = 3SE +/- 9.00, N = 3878.715418.924977.134405.628310.711. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 39.095.776.307.137.52MIN: 9.03 / MAX: 17.52MIN: 3.23 / MAX: 59.13MIN: 3.34 / MAX: 35.73MIN: 3.71 / MAX: 59.81MIN: 3.38 / MAX: 63.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.0151.0162.8EPYC 8324P - Zen 4C12.9105.9120.6EPYC 8324P - Zen 4C, 155W13.294.2106.4EPYC 8324PN - Zen 4C12.280.189.9EPYC 8534PN - Zen 4C14.4126.6136.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 0.74, N = 3SE +/- 0.64, N = 3SE +/- 5.36, N = 8SE +/- 0.39, N = 3SE +/- 0.42, N = 3188.86688.60621.82555.711086.681. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.68, N = 3SE +/- 0.04, N = 3SE +/- 0.47, N = 8SE +/- 0.04, N = 3SE +/- 0.02, N = 3169.2146.3951.4157.5058.78MIN: 140.86 / MAX: 197.95MIN: 30.48 / MAX: 56.26MIN: 31.75 / MAX: 122.86MIN: 36.68 / MAX: 102.88MIN: 36.54 / MAX: 118.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.7168.1177.3EPYC 8324P - Zen 4C12.4106.7121.1EPYC 8324P - Zen 4C, 155W12.795.9108.8EPYC 8324PN - Zen 4C12.380.789.5EPYC 8534PN - Zen 4C14.7129.3140.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 3.62, N = 3149.01633.21579.34520.24934.591. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 353.6425.2127.5630.6934.14MIN: 52.65 / MAX: 65.91MIN: 14.47 / MAX: 81.04MIN: 15.77 / MAX: 72.29MIN: 17.73 / MAX: 77.96MIN: 18.62 / MAX: 101.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.0153.8166.6EPYC 8324P - Zen 4C11.9104.0120.7EPYC 8324P - Zen 4C, 155W13.392.6106.0EPYC 8324PN - Zen 4C12.979.088.7EPYC 8534PN - Zen 4C13.5124.7135.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 2.58, N = 3SE +/- 1.14, N = 3SE +/- 0.55, N = 3SE +/- 0.29, N = 3SE +/- 0.39, N = 3246.64818.31752.59674.931287.88

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1428425670SE +/- 0.70, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 364.8019.5321.2423.6924.82

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8139.0177.3EPYC 8324P - Zen 4C12.181.3112.8EPYC 8324P - Zen 4C, 155W13.473.797.1EPYC 8324PN - Zen 4C12.664.682.1EPYC 8534PN - Zen 4C13.279.6118.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60120180240300SE +/- 0.71, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 384.43181.23169.56152.21281.49

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 1.56, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3189.3288.1594.20104.90113.45

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.4148.0176.5EPYC 8324P - Zen 4C12.987.7109.6EPYC 8324P - Zen 4C, 155W12.778.591.9EPYC 8324PN - Zen 4C12.667.583.1EPYC 8534PN - Zen 4C13.899.4123.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.41, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3138.03266.96254.30229.54429.33

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3115.7859.8762.8269.6074.43

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5102.0122.5EPYC 8324PN - Zen 4C12.968.079.8EPYC 8324P - Zen 4C12.796.9111.4EPYC 8324P - Zen 4C, 155W13.280.299.0EPYC 7601 - Zen 166.1159.0177.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 310.4521.0219.6417.7632.16

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 7.41, N = 3SE +/- 1.08, N = 3SE +/- 1.07, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 31501.61751.62803.82892.10982.61

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.7140.6177.4EPYC 8324P - Zen 4C12.189.9119.5EPYC 8324P - Zen 4C, 155W13.180.9105.1EPYC 8324PN - Zen 4C12.569.484.7EPYC 8534PN - Zen 4C13.386.8132.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 368.16122.37114.62103.44191.07

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.88, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3234.02130.42139.18154.28166.95

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8157.0176.8EPYC 8324P - Zen 4C13.091.9117.7EPYC 8324P - Zen 4C, 155W13.082.698.1EPYC 8324PN - Zen 4C12.370.881.0EPYC 8534PN - Zen 4C12.7106.4129.0OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 368.95122.93115.42104.13192.06

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 1.50, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3231.40129.84138.23153.40166.03

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.4156.5176.5EPYC 8324P - Zen 4C11.491.0116.6EPYC 8324P - Zen 4C, 155W13.482.5101.3EPYC 8324PN - Zen 4C12.669.883.0EPYC 8534PN - Zen 4C13.8105.5121.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.3421.0019.7517.6732.15

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 0.89, N = 3SE +/- 1.23, N = 3SE +/- 0.47, N = 3SE +/- 0.79, N = 3SE +/- 0.09, N = 31515.68752.51801.19894.20982.33

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.5140.7177.7EPYC 8324P - Zen 4C11.888.8121.7EPYC 8324P - Zen 4C, 155W13.280.1102.2EPYC 8324PN - Zen 4C12.569.789.0EPYC 8534PN - Zen 4C13.5101.9133.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1326395265SE +/- 0.0850, N = 3SE +/- 0.0215, N = 3SE +/- 0.0667, N = 3SE +/- 0.0604, N = 3SE +/- 0.1049, N = 38.509738.820235.792932.128956.8419

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000SE +/- 6.61, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 31840.95410.47443.43493.99556.15

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.6142.0172.7EPYC 8324P - Zen 4C13.089.2114.7EPYC 8324P - Zen 4C, 155W13.181.297.7EPYC 8324PN - Zen 4C12.869.881.3EPYC 8534PN - Zen 4C13.6103.7123.1OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.48, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.37, N = 3138.53266.99254.13229.91429.36

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.43, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3115.3559.8762.8869.5174.41

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C7001400210028003500SE +/- 0.21, N = 3SE +/- 7.34, N = 3SE +/- 2.41, N = 3SE +/- 2.26, N = 3SE +/- 2.41, N = 3152.962193.092099.321906.393450.43

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.1244, N = 3SE +/- 0.0229, N = 3SE +/- 0.0078, N = 3SE +/- 0.0084, N = 3SE +/- 0.0062, N = 3104.44367.28167.60648.37459.2520

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.5159.1177.2EPYC 8324P - Zen 4C12.993.1108.1EPYC 8324P - Zen 4C, 155W13.277.095.3EPYC 8324PN - Zen 4C12.466.576.5EPYC 8534PN - Zen 4C12.796.8114.2OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 312.2225.8424.4721.9140.64

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 8.56, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.25, N = 31289.82611.15647.89722.10776.54

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.8109.6177.6EPYC 8324P - Zen 4C12.171.4119.7EPYC 8324P - Zen 4C, 155W13.267.0108.3EPYC 8324PN - Zen 4C12.860.386.0EPYC 8534PN - Zen 4C13.780.1127.4OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C130260390520650SE +/- 1.39, N = 3SE +/- 1.61, N = 3SE +/- 1.23, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3128.67383.70357.30320.86613.23

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.37, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3124.0941.6444.7249.8052.12

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.2138.7176.8EPYC 8324P - Zen 4C12.881.7112.7EPYC 8324P - Zen 4C, 155W13.074.196.2EPYC 8324PN - Zen 4C12.764.980.5EPYC 8534PN - Zen 4C11.892.3120.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 38.7751.7051.0347.7748.56

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.13140.26280.39420.52560.6570.0680.5530.5510.5840.519

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.2129.4142.8EPYC 8324P - Zen 4C13.093.5112.6EPYC 8324P - Zen 4C, 155W13.292.6109.9EPYC 8324PN - Zen 4C6.781.997.1EPYC 8534PN - Zen 4C13.093.6109.8OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 324.8952.7252.9152.9045.23MIN: 12.04 / MAX: 25.89MIN: 50.17 / MAX: 53.72MIN: 50.65 / MAX: 53.55MIN: 50.6 / MAX: 53.56MIN: 16.58 / MAX: 46.26

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18160.36320.54480.72640.9080.1620.7840.7810.8070.552

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 163.8153.6174.3EPYC 8324P - Zen 4C12.867.381.3EPYC 8324P - Zen 4C, 155W13.367.881.9EPYC 8324PN - Zen 4C12.965.679.0EPYC 8534PN - Zen 4C13.482.098.6OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 320.4840.5940.5440.3636.23MIN: 11.38 / MAX: 21.17MIN: 14.97 / MAX: 41.27MIN: 14.7 / MAX: 41.23MIN: 18.81 / MAX: 40.93MIN: 14.59 / MAX: 36.98

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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12110.24220.36330.48440.60550.1270.5270.5190.5380.389

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 164.7161.6173.2EPYC 8324P - Zen 4C12.877.188.7EPYC 8324P - Zen 4C, 155W13.178.089.1EPYC 8324PN - Zen 4C12.675.085.7EPYC 8534PN - Zen 4C12.893.2106.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 155.10, N = 12SE +/- 56.24, N = 3SE +/- 43.26, N = 3SE +/- 34.05, N = 3SE +/- 5.73, N = 34973.318908.918129.016892.320484.31. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020032.66150.56174.20189.12160.74

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 66.88 / Avg: 152.27 / Max: 164.27Min: 12.79 / Avg: 125.59 / Max: 136.69Min: 12.76 / Avg: 104.07 / Max: 113.63Min: 12.76 / Avg: 89.32 / Max: 95.35Min: 13.56 / Avg: 127.44 / Max: 140.88

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C8K16K24K32K40KSE +/- 120.26, N = 3SE +/- 52.06, N = 3SE +/- 6.52, N = 3SE +/- 107.46, N = 3SE +/- 47.09, N = 39331.625644.324096.221769.235370.01. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6012018024030057.58219.80233.10247.53265.91

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 165.7162.1172.1EPYC 8324P - Zen 4C13.3116.4133.1EPYC 8324P - Zen 4C, 155W12.8103.4113.7EPYC 8324PN - Zen 4C13.187.995.9EPYC 8534PN - Zen 4C14.3133.0154.3OpenBenchmarking.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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 202.60, N = 12SE +/- 50.80, N = 3SE +/- 49.53, N = 3SE +/- 103.09, N = 3SE +/- 12.46, N = 35061.318922.718090.916799.220477.11. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.27149.20172.66188.75157.77

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.42 / Avg: 152.14 / Max: 165.08Min: 11.2 / Avg: 126.83 / Max: 137.8Min: 13.38 / Avg: 104.78 / Max: 115.54Min: 13.06 / Avg: 89 / Max: 95.54Min: 14.55 / Avg: 129.79 / Max: 142.64

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 166.19, N = 12SE +/- 41.98, N = 3SE +/- 44.77, N = 3SE +/- 35.06, N = 3SE +/- 6.48, N = 35087.418883.218155.016932.820489.81. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.30148.12173.49190.30157.28

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.89 / Avg: 152.79 / Max: 165.66Min: 13.49 / Avg: 127.49 / Max: 138.25Min: 13.62 / Avg: 104.64 / Max: 114.31Min: 13.05 / Avg: 88.98 / Max: 95.94Min: 14.85 / Avg: 130.27 / Max: 143.14

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 218.18, N = 11SE +/- 43.40, N = 3SE +/- 61.47, N = 3SE +/- 33.52, N = 3SE +/- 5.33, N = 34687.918875.218088.716877.920487.21. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020031.23148.73171.50189.15155.95

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.67 / Avg: 150.11 / Max: 166.71Min: 13.6 / Avg: 126.91 / Max: 138.03Min: 13.02 / Avg: 105.47 / Max: 115Min: 13.09 / Avg: 89.23 / Max: 95.56Min: 14.11 / Avg: 131.37 / Max: 143.81

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9001800270036004500SE +/- 12.26, N = 3SE +/- 7.57, N = 3SE +/- 19.57, N = 3SE +/- 16.58, N = 3SE +/- 6.81, N = 31042.74043.24031.73938.54374.01. (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 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C11223344557.45341.05040.52750.34035.481

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.8 / Avg: 139.9 / Max: 146.26Min: 12.7 / Avg: 98.5 / Max: 101.31Min: 13.53 / Avg: 99.48 / Max: 102.3Min: 13.02 / Avg: 78.24 / Max: 88.48Min: 14.94 / Avg: 123.28 / Max: 126.95

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200Min: 32.69 / Avg: 143.24 / Max: 192.83Min: 6.76 / Avg: 88.61 / Max: 141.34Min: 11.47 / Avg: 82.06 / Max: 125.14Min: 6.71 / Avg: 71.8 / Max: 108.62Min: 6.99 / Avg: 97.94 / Max: 154.25

Phoronix Test Suite v10.8.5