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&sro&grw.

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 Efficiencyxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1Mquantlib: Multi-Threadedminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2openradioss: Chrysler Neon 1Measywave: e2Asean Grid + BengkuluSept2007 Source - 2400y-cruncher: 1Beasywave: e2Asean Grid + BengkuluSept2007 Source - 1200tensorflow: CPU - 16 - ResNet-50cloverleaf: clover_bm64_shortcloverleaf: clover_bm16deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamy-cruncher: 500Mquicksilver: CTS2quicksilver: CORAL2 P1deepsparse: 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-Streampytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50llama-cpp: llama-2-7b.Q4_0.ggufllama-cpp: llama-2-13b.Q4_0.ggufllama-cpp: llama-2-70b-chat.Q5_0.gguflammps: 20k Atomsnamd: ATPase Simulation - 327,506 Atomsopenvino: 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 - CPUmt-dgemm: Sustained Floating-Point Ratekripke: openfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dgpaw: Carbon Nanotubebuild-ffmpeg: Time To Compilecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kx265: Bosphorus 4Kv-ray: CPUblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demanduvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fasterrav1e: 10rav1e: 6embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyindigobench: CPU - Supercarindigobench: CPU - Bedroomospray: 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_timeospray-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 - CPUbuild-gem5: Time To Compilebuild-nodejs: Time To Compileduckdb: IMDBduckdb: TPC-H Parquetspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randnginx: 500nginx: 1000openssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100memtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5rocksdb: Rand Readrocksdb: Read While Writingcassandra: WritesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4973.39331.65061.35087.44687.91042.764469.4358.25414.330355.99014.240498.23357.69233.908152.3378.77106.27954.73246.644064.798115.515114433331303000084.4287189.3186138.0333115.777510.45271501.605168.1629234.021268.9537231.403510.33641515.67928.50971840.9494138.5291115.3465152.9618104.443612.22441289.8227128.6692124.092824.8920.484.202.490.4613.7810.972823.812096.0113039.702.4442.43188.25376.9784.77296.4226.96464.4817.2038.63206.72878.719.09188.86169.21149.0153.643.886776181795967122.25778229.494061164.392637.98899711092.51253144.01239.891123746133490435.252529.39876.196752.60370.77326.7533.06514.291991472.43191.71101.10246.71765.2058.0910.4021.0221.0022.2623.5827.296.3586.9952.96321.842118.43870.488.5863.9852.599612.452764.146555.285765.2292798.8969845214556028113710054170871331945394.619389.700198.940249.189859904455954251144781920382394936.9990952.154497.1292445.3270153932678355425337977070348208997661081747935580060303410466375195073586.191277853.471159654.3384616408346369515027718908.925644.318922.718883.218875.24043.298717.21528.84861.1541532.27461.291381.88115.28811.92742.08951.7056.91489.47818.314519.53415.7471431333318880000181.232088.1549266.956759.869821.0230751.6244122.3679130.4161122.9256129.843221.0044752.512138.8202410.4658266.985659.87232193.09067.281625.8368611.1481383.700441.639752.7240.5929.7217.933.4318.4070.6772831.25510.7152709.190.47150.74106.003102.1310.201860.658.521701.189.34194.7182.005418.925.77688.6046.39633.2125.2111.64561626877326773.513388153.15408763.5016723.9050407608.22971680.91624.492240083211187258.219334.29352.144449.986182.26058.0005.91125.553351047.50119.5859.64148.76426.62109.8422.2445.0145.0739.2542.9446.5410.74111.7904.70645.508536.89171.1113.5736.1779.142578.8362210.49398.797738.77043147.253349362633118514415273127139737263.533222.067121.485182.77516377176272906102233744317250164234.98166799.1415040.7457516.343033082363138033407473082073084372653031134571594476755171131058928778032135957.212842511.462795965.05161678876439431022329318129.024096.218090.918155.018088.74031.790654.11427.41257.0961425.32457.013382.57115.25312.88741.99651.0357.04489.04752.587421.24076.1921437666718950000169.562894.2013254.302862.815519.6390803.8219114.6161139.1784115.4212138.226319.7530801.190135.7929443.4299254.130762.88132099.32467.606424.4736647.8855357.295344.715952.9140.5429.3817.092.9317.4230.7355828.58558.2949194.550.51144.27110.772851.0111.121710.429.291563.3610.18180.3288.554977.136.3621.8251.41579.3427.5611.43484925871616775.250702163.04119779.5094923.7732938612.20479384.37925.679228957200034274.946349.61154.798487.576175.74655.7175.81625.453153652.02130.6765.03161.95463.27109.7122.2545.1245.0637.3340.5044.8110.63511.8184.73143.127034.24021.0312.5725.7208.788988.456349.873738.757848.75896147.281378767153128154449378610150410266.951234.231122.143181.39414799155571622032133311317634149458.34151923.6213565.8457514.140200353400129939407372811918785672428305268731594310086201123440838437029490162.602789711.342720321.30147721769430134322403416892.321769.216799.216932.816877.93938.580175.31278.03051.1211276.47251.059391.36116.03113.97142.25747.7757.52492.50674.929423.68526.6531403000018273333152.2068104.8987229.535069.603717.7641892.1039103.4399154.2821104.1306153.396817.6664894.195632.1289493.9887229.912369.50781906.38708.374521.9096722.1041320.863749.797352.9040.3628.5617.063.1115.6900.8279025.41627.4643375.550.57131.24121.742520.7712.581527.3210.391424.5311.15163.0997.914405.627.13555.7157.50520.2430.6911.51727224750013382.15286172.68566793.8720724.3467388628.84429990.06527.574212458179072300.444371.53658.519539.240167.16351.5375.55124.032817758.20146.9072.96182.47518.21109.7722.2445.0344.9933.8236.7541.0210.29111.8244.72739.600631.08140.9311.2495.1277.979107.665328.893618.132318.14358147.220422274023142160500486678167209295.060253.142123.667182.93413224819269345441982257305729136660.96139259.2611909.2430171.635795826073116448675902514155583702164356602071476020776501010650231237728515258.922562876.162500035.09131206830410731321220720484.335370.020477.120489.820487.24374.0154830.92491.16599.6472489.19799.568300.62109.82710.44239.33048.5657.42496.551287.877824.81845.2071630000021233333281.4898113.4506429.327074.427032.1554982.6109191.0676166.9491192.0616166.026732.1461982.329856.8419556.1457429.360374.41023450.43349.252040.6410776.5434613.226952.123545.2336.2325.7150.4320049.43644.8071960.410.61202.29157.934878.0012.972816.0911.242547.7312.47295.61108.068310.717.521086.6858.78934.5934.1421.13881928839430058.610212184.16204687.4230520.9756184563.34678165.47219.376332922343946190.992277.91044.423341.477190.88764.3366.55627.515420430.5776.3238.6695.44267.58115.1123.3147.0347.0847.6549.2251.3311.27212.1864.86874.926859.05131.7121.7679.97315.059614.613116.895414.908614.8549164.2052146406037475225444747287860230.990174.002127.201178.698248842616125853152272026349745229161.91232146.4121064.1828697.469910430987226972662074934344962504244000382072846962933731960125738538273149554.712568868.492513019.322489693876688089244177OpenBenchmarking.org

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: 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: 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-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: 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: 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

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

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: 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

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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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: 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

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-2-13b.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-2-70b-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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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 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 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

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

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

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

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

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

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

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

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: 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: 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: 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

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: 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: 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

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

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: 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

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: 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

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

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: 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

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/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/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: 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/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/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 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

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

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

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

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

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

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 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

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

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

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: 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 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: 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

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: 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

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: 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: 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: 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-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: 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-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

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

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: 1:5

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

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: 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

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

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 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.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 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 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 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 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 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 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

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

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

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 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 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 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 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 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 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 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 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 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: 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

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

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

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

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

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

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

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 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

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

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

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.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.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

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

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

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 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

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

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 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

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

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

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 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 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

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

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 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

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

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

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

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

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 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 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 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

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

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

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

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

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

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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

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

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

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

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

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

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

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

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

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

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

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

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

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.0156.5177.4EPYC 8324P - Zen 4C12.796.9111.4EPYC 8324P - Zen 4C, 155W13.280.299.0EPYC 8324PN - Zen 4C11.667.879.3EPYC 8534PN - Zen 4C13.1101.0122.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

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

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

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

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

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

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

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

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 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 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 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 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 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 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 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 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 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