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&grw&sor.

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

AMD EPYC Zen 4C Power 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 8534PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 7601 - Zen 14K8K12K16K20KSE +/- 5.73, N = 3SE +/- 56.24, N = 3SE +/- 43.26, N = 3SE +/- 34.05, N = 3SE +/- 155.10, N = 1220484.318908.918129.016892.34973.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

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

Xmrig

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

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

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

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

Xmrig

Variant: KawPow - Hash Count: 1M

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

QuantLib

Configuration: Multi-Threaded

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

OpenRadioss

Model: Chrysler Neon 1M

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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

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

Y-Cruncher

Pi Digits To Calculate: 1B

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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

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

TensorFlow

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

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

CloverLeaf

Input: clover_bm64_short

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

CloverLeaf

Input: clover_bm16

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Y-Cruncher

Pi Digits To Calculate: 500M

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

Quicksilver

Input: CTS2

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

Quicksilver

Input: CORAL2 P1

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

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

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

PyTorch

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

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

PyTorch

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

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

Llama.cpp

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

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

Llama.cpp

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

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

Llama.cpp

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

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

NAMD

ATPase Simulation - 327,506 Atoms

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

ACES DGEMM

Sustained Floating-Point Rate

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

Kripke

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

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

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

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

GPAW

Input: Carbon Nanotube

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

Timed FFmpeg Compilation

Time To Compile

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

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

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

Timed LLVM Compilation

Build System: Ninja

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

Timed LLVM Compilation

Build System: Unix Makefiles

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

Timed Linux Kernel Compilation

Build: defconfig

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

Timed Linux Kernel Compilation

Build: allmodconfig

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

x265

Video Input: Bosphorus 4K

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

Chaos Group V-RAY

Mode: CPU

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

FFmpeg

Encoder: libx265 - Scenario: Live

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

FFmpeg

Encoder: libx265 - Scenario: Upload

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

FFmpeg

Encoder: libx265 - Scenario: Platform

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

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

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

uvg266

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

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

uvg266

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

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

uvg266

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

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

rav1e

Speed: 10

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

rav1e

Speed: 6

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

Intel Open Image Denoise

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

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

IndigoBench

Acceleration: CPU - Scene: Supercar

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

IndigoBench

Acceleration: CPU - Scene: Bedroom

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

Timed Gem5 Compilation

Time To Compile

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

Timed Node.js Compilation

Time To Compile

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

DuckDB

Benchmark: IMDB

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

DuckDB

Benchmark: TPC-H Parquet

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

Speedb

Test: Random Read

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

Speedb

Test: Read While Writing

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

Speedb

Test: Read Random Write Random

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

Speedb

Test: Update Random

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

nginx

Connections: 500

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

nginx

Connections: 1000

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Redis 7.0.12 + memtier_benchmark

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

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

Redis 7.0.12 + memtier_benchmark

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

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

RocksDB

Test: Random Read

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

RocksDB

Test: Read While Writing

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

Apache Cassandra

Test: Writes

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

nginx

Connections: 500

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

nginx

CPU Power Consumption Monitor

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

nginx

Connections: 1000

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

nginx

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

OpenSSL

CPU Power Consumption Monitor

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

Apache IoTDB

CPU Power Consumption Monitor

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

DuckDB

CPU Power Consumption Monitor

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

DuckDB

CPU Power Consumption Monitor

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

Apache Cassandra

Test: Writes

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

Apache Cassandra

CPU Power Consumption Monitor

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

Speedb

Test: Random Read

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Read While Writing

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Read Random Write Random

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Update Random

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

Speedb

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

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

RocksDB

CPU Power Consumption Monitor

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

RocksDB

Test: Read While Writing

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

RocksDB

CPU Power Consumption Monitor

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

Redis 7.0.12 + memtier_benchmark

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

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

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

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

Redis 7.0.12 + memtier_benchmark

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

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

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

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

7-Zip Compression

Test: Decompression Rating

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

7-Zip Compression

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed Node.js Compilation

CPU Power Consumption Monitor

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

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

Timed FFmpeg Compilation

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

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

QuantLib

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

CPU Power Consumption Monitor

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

miniBUDE

CPU Power Consumption Monitor

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

easyWave

CPU Power Consumption Monitor

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

easyWave

CPU Power Consumption Monitor

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

GPAW

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

Kripke

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

Kripke

CPU Power Consumption Monitor

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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

NAMD

CPU Power Consumption Monitor

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

Quicksilver

Input: CORAL2 P1

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

Quicksilver

CPU Power Consumption Monitor

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

Quicksilver

Input: CTS2

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

Quicksilver

CPU Power Consumption Monitor

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

Y-Cruncher

CPU Power Consumption Monitor

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

Y-Cruncher

CPU Power Consumption Monitor

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

ACES DGEMM

Sustained Floating-Point Rate

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

ACES DGEMM

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

CPU Power Consumption Monitor

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

Embree

CPU Power Consumption Monitor

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

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

Chaos Group V-RAY

Mode: CPU

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

Chaos Group V-RAY

CPU Power Consumption Monitor

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

IndigoBench

Acceleration: CPU - Scene: Supercar

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

IndigoBench

CPU Power Consumption Monitor

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

IndigoBench

Acceleration: CPU - Scene: Bedroom

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

IndigoBench

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Live

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Upload

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Platform

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

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

FFmpeg

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

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

rav1e

Speed: 10

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

rav1e

CPU Power Consumption Monitor

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

rav1e

Speed: 6

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

rav1e

CPU Power Consumption Monitor

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

x265

Video Input: Bosphorus 4K

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

x265

CPU Power Consumption Monitor

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

uvg266

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

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

uvg266

CPU Power Consumption Monitor

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

uvg266

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

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

uvg266

CPU Power Consumption Monitor

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

uvg266

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

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

uvg266

CPU Power Consumption Monitor

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

VVenC

CPU Power Consumption Monitor

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

Llama.cpp

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

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

Llama.cpp

CPU Power Consumption Monitor

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

Llama.cpp

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

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

Llama.cpp

CPU Power Consumption Monitor

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

Llama.cpp

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

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

Llama.cpp

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

TensorFlow

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

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

TensorFlow

CPU Power Consumption Monitor

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

PyTorch

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

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

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

PyTorch

CPU Power Consumption Monitor

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

Xmrig

Variant: Monero - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: Wownero - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

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

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: KawPow - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

Phoronix Test Suite v10.8.5