AMD EPYC Zen 4C Power Efficiency

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

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401147-NE-AMDEPYCZE24
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EPYC 7601 - Zen 1
January 13
  1 Day, 1 Hour, 20 Minutes
EPYC 8324P - Zen 4C
January 12
  13 Hours, 1 Minute
EPYC 8324P - Zen 4C, 155W
January 12
  13 Hours, 3 Minutes
EPYC 8324PN - Zen 4C
January 10
  12 Hours, 44 Minutes
EPYC 8534PN - Zen 4C
January 09
  11 Hours, 36 Minutes
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  15 Hours, 9 Minutes

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EPYC 7601 - Zen 1

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD, Disk: 1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

EPYC 8324PN - Zen 4C

Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

EPYC 8534PN - Zen 4C

Changed Processor to AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads).

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

EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CLogarithmic Result OverviewPhoronix Test SuiteminiBUDETensorFlowACES DGEMMOSPRay StudioOpenSSLOpenVINOXmrigIntel Open Image DenoiseeasyWaveOSPRayEmbreeY-CruncherNeural Magic DeepSparseChaos Group V-RAY7-Zip CompressionBlenderIndigoBenchnginxSVT-AV1QuantLibRocksDBRedis 7.0.12 + memtier_benchmarkNAMDTimed Node.js CompilationGPAWFFmpegTimed LLVM CompilationTimed FFmpeg CompilationPyTorchuvg266SpeedbTimed Linux Kernel Compilationx265CloverLeafXcompact3d Incompact3dLAMMPS Molecular Dynamics SimulatorVVenCTimed Gem5 Compilationrav1eOpenRadiossOpenFOAMApache CassandraKripkeApache IoTDBQuicksilverDuckDB

EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4CLogarithmic Per Watt Result OverviewPhoronix Test SuiteACES DGEMMTensorFlowEmbreeIntel Open Image DenoiseXmrigRedis 7.0.12 + memtier_benchmarkOpenSSLOSPRayPyTorchSVT-AV1IndigoBench7-Zip Compressionuvg266Chaos Group V-RAYRocksDBx265QuantLibnginxVVenCFFmpegSpeedbApache Cassandrarav1eKripkeQuicksilverLAMMPS Molecular Dynamics SimulatorminiBUDEP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD EPYC Zen 4C Power Efficiencypytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305quicksilver: CORAL2 P1quicksilver: CTS2ffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Video On Demandopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUffmpeg: libx265 - Platformuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Krav1e: 10rav1e: 6x265: Bosphorus 4Kuvg266: Bosphorus 4K - Very Fastvvenc: Bosphorus 4K - Fasterembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownminibude: OpenMP - BM1minibude: OpenMP - BM2mt-dgemm: Sustained Floating-Point Ratexmrig: GhostRider - 1Mxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Moidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlytensorflow: CPU - 16 - ResNet-50ospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: particle_volume/ao/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timedeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamindigobench: CPU - Supercarindigobench: CPU - Bedroomquantlib: Multi-Threadedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratinglammps: 20k Atomscassandra: Writesspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randrocksdb: Rand Readrocksdb: Read While Writingmemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5apache-iotdb: 500 - 100 - 500 - 100nginx: 500nginx: 1000openssl: RSA4096kripke: llama-cpp: llama-2-13b.Q4_0.ggufllama-cpp: llama-2-70b-chat.Q5_0.ggufllama-cpp: llama-2-7b.Q4_0.ggufopenssl: RSA4096v-ray: CPUapache-iotdb: 500 - 100 - 500 - 100namd: ATPase Simulation - 327,506 Atomsospray-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 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamduckdb: IMDBduckdb: TPC-H Parquetbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-ffmpeg: Time To Compileopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Measywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400gpaw: Carbon Nanotubecloverleaf: clover_bm64_shortcloverleaf: clover_bm16incompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dy-cruncher: 500My-cruncher: 1Bblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C24.8920.4814.33014.24027015393267835542533797707034820899766108174793558006030341046637130300001144333358.0910.4021.003.8113039.7042.43376.97296.42464.4838.63878.71188.86149.0121.0223.5827.2970.77326.7533.0656.9952.96314.2922.266.35821.842118.4387358.254355.9903.8867761042.74973.39331.65061.35087.44687.90.488.772.599612.452765.285764.146555.2292798.8969246.644084.4287138.033310.452768.162968.953710.33648.5097138.5291152.961812.2244128.66928.5863.98564469.412374613349013.78115027785990445595425114478192038238461640834636951277853.471159654.335195073594936.9990952.154497.11817959672.490.464.20292445.31991486.190.972828452145560281137100541708713319452096.012.44188.2584.7726.9617.20206.729.09169.2153.6464.7981189.3186115.77751501.6051234.0212231.40351515.67921840.9494115.3465104.44361289.8227124.0928198.940249.18976.196752.603435.252529.398389.700394.61939.891122.25778229.494061164.3926498.23152.337357.692144.012106.27954.7337.98899711092.5125315.51533.90872.43191.71101.10246.71765.2052.7240.5961.15461.29143033082363138033407473082073084372653031134571594476755171131058928771888000014313333109.8422.2445.0731.2552709.19150.743102.131860.651701.18194.715418.92688.60633.2145.0142.9446.54182.26058.0005.91111.7904.70625.5539.2510.74145.508536.89171528.8481532.27411.6456164043.218908.925644.318922.718883.218875.21.1151.709.142578.836228.7977310.49398.77043147.253818.3145181.2320266.956721.0230122.3679122.925621.004438.8202266.98562193.090625.8368383.700413.5736.17798717.224008321118718.4072232931637717627290610223374431725016167887643943102842511.462795965.0580321359164234.98166799.1415040.726877326717.933.4329.72457516.33351057.210.67728349362633118514415273127139737510.710.47106.0010.208.529.3482.005.7746.3925.2119.534188.154959.8698751.6244130.4161129.8432752.5121410.465859.87237.2816611.148141.6397121.485182.77552.144449.986258.219334.293222.067263.53324.49273.513388153.15408763.50167381.8842.089115.28880.91656.91489.4723.9050407608.2297165.74711.92747.50119.5859.64148.76426.6252.9140.5457.09657.01340200353400129939407372811918785672428305268731594310086201123440838431895000014376667109.7122.2545.0628.5849194.55144.272851.011710.421563.36180.324977.13621.82579.3445.1240.5044.81175.74655.7175.81611.8184.73125.4537.3310.63543.127034.24021427.4121425.32411.4348494031.718129.024096.218090.918155.018088.71.0351.038.788988.456348.757849.873738.75896147.281752.5874169.5628254.302819.6390114.6161115.421219.753035.7929254.13072099.324624.4736357.295312.5725.72090654.122895720003417.4232240341479915557162203213331131763414772176943013432789711.342720321.3070294901149458.34151923.6213565.825871616717.092.9329.38457514.13153662.600.73558378767153128154449378610150410558.290.51110.7711.129.2910.1888.556.351.4127.5621.240794.201362.8155803.8219139.1784138.2263801.1901443.429962.88137.6064647.885544.7159122.143181.39454.798487.576274.946349.611234.231266.95125.67975.250702163.04119779.50949382.5741.996115.25384.37957.04489.0423.7732938612.2047936.19212.88752.02130.6765.03161.95463.2752.9040.3651.12151.05935795826073116448675902514155583702164356602071476020776501010650231231827333314030000109.7722.2444.9925.4143375.55131.242520.771527.321424.53163.094405.62555.71520.2445.0336.7541.02167.16351.5375.55111.8244.72724.0333.8210.29139.600631.08141278.0301276.47211.5172723938.516892.321769.216799.216932.816877.90.9347.777.979107.665328.132318.893618.14358147.220674.9294152.2068229.535017.7641103.4399104.130617.666432.1289229.91231906.387021.9096320.863711.2495.12780175.321245817907215.6902122071322481926934544198225730572913120683041073132562876.162500035.0977285152136660.96139259.2611909.224750013317.063.1128.56430171.62817758.920.82790422274023142160500486678167209627.460.57121.7412.5810.3911.1597.917.1357.5030.6923.6852104.898769.6037892.1039154.2821153.3968894.1956493.988769.50788.3745722.104149.7973123.667182.93458.519539.240300.444371.536253.142295.06027.57482.15286172.68566793.87207391.3642.257116.03190.06557.52492.5024.3467388628.8442996.65313.97158.20146.9072.96182.47518.2145.2336.2399.64799.56869910430987226972662074934344962504244000382072846962933731960125738532123333316300000115.1123.3147.0849.4371960.41202.294878.002816.092547.73295.618310.711086.68934.5947.0349.2251.33190.88764.3366.55612.1864.86827.5147.6511.27274.926859.05132491.1652489.19721.1388194374.020484.335370.020477.120489.820487.21.7148.5615.059614.613114.908616.895414.8549164.2051287.8778281.4898429.327032.1554191.0676192.061632.146156.8419429.36033450.433440.6410613.226921.7679.973154830.933292234394625.71524417724884261612585315227202634974524896938766880892568868.492513019.3282731495229161.91232146.4121064.1288394300828697.45420454.710.432002146406037475225444747287860644.800.61157.9312.9711.2412.47108.067.5258.7834.1424.8184113.450674.4270982.6109166.9491166.0267982.3298556.145774.41029.2520776.543452.1235127.201178.69844.423341.477190.992277.910174.002230.99019.37658.610212184.16204687.42305300.6239.330109.82765.47257.42496.5520.9756184563.3467815.20710.44230.5776.3238.6695.44267.58OpenBenchmarking.org

CPU Power Consumption Monitor

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

PyTorch

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18160.36320.54480.72640.9080.1620.7840.7810.8070.552

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 324.8952.7252.9152.9045.23MIN: 12.04 / MAX: 25.89MIN: 50.17 / MAX: 53.72MIN: 50.65 / MAX: 53.55MIN: 50.6 / MAX: 53.56MIN: 16.58 / MAX: 46.26
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18160.36320.54480.72640.9080.1620.7840.7810.8070.552
MinAvgMaxEPYC 7601 - Zen 163.8153.6174.3EPYC 8324P - Zen 4C12.867.381.3EPYC 8324P - Zen 4C, 155W13.367.881.9EPYC 8324PN - Zen 4C12.965.679.0EPYC 8534PN - Zen 4C13.482.098.6OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8194 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1929 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1943 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1880 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2651 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 320.4840.5940.5440.3636.23MIN: 11.38 / MAX: 21.17MIN: 14.97 / MAX: 41.27MIN: 14.7 / MAX: 41.23MIN: 18.81 / MAX: 40.93MIN: 14.59 / MAX: 36.98
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12110.24220.36330.48440.60550.1270.5270.5190.5380.389
MinAvgMaxEPYC 7601 - Zen 164.7161.6173.2EPYC 8324P - Zen 4C12.877.188.7EPYC 8324P - Zen 4C, 155W13.178.089.1EPYC 8324PN - Zen 4C12.675.085.7EPYC 8534PN - Zen 4C12.893.2106.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 17186 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4265 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4318 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4198 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5841 Joules per run.

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.02, N = 614.3361.1557.1051.1299.651. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.24460.48920.73380.97841.2230.0870.6840.7180.7461.087
MinAvgMaxEPYC 7601 - Zen 166.1164.9176.2EPYC 8324P - Zen 4C12.789.5122.9EPYC 8324P - Zen 4C, 155W14.179.5107.9EPYC 8324PN - Zen 4C13.168.588.4EPYC 8534PN - Zen 4C14.491.7132.3OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9841 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1543 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1452 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1354 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1116 Joules per run.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 314.2461.2957.0151.0699.571. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18590.37180.55770.74360.92950.0840.5700.6060.6450.826
MinAvgMaxEPYC 7601 - Zen 165.5169.5175.3EPYC 8324P - Zen 4C12.4107.5121.8EPYC 8324P - Zen 4C, 155W13.894.1106.1EPYC 8324PN - Zen 4C12.179.288.9EPYC 8534PN - Zen 4C12.8120.5131.6OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 61765 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 9425 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 8849 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 8344 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6708 Joules per run.

OpenSSL

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

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

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C700M1400M2100M2800M3500M516298912.202258891761.222396310835.772539685896.323123938397.23

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C15000M30000M45000M60000M75000MSE +/- 58715423.07, N = 3SE +/- 11419799.65, N = 3SE +/- 12904999.14, N = 3SE +/- 16148314.98, N = 3SE +/- 41929433.75, N = 327015393267430330823634020035340035795826073699104309871. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C120M240M360M480M600M155415474.32387067179.89416875314.97436238930.85546243197.78
MinAvgMaxEPYC 7601 - Zen 165.3173.8178.2EPYC 8324P - Zen 4C13.0111.2118.1EPYC 8324P - Zen 4C, 155W13.596.4102.1EPYC 8324PN - Zen 4C12.882.190.4EPYC 8534PN - Zen 4C13.1128.0136.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 31984 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 20420 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 17711 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15126 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 23549 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5000M10000M15000M20000M25000MSE +/- 7664614.59, N = 3SE +/- 1511880.16, N = 3SE +/- 794607.82, N = 3SE +/- 3220312.96, N = 3SE +/- 1693446.92, N = 38355425337138033407471299394073711644867590226972662071. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40M80M120M160M200M47835855.20122734575.99132126423.40142108901.03175273393.29
MinAvgMaxEPYC 7601 - Zen 165.5174.7178.2EPYC 8324P - Zen 4C12.8112.5125.9EPYC 8324P - Zen 4C, 155W13.698.3106.9EPYC 8324PN - Zen 4C13.081.988.0EPYC 8534PN - Zen 4C14.3129.5138.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 32023 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 20656 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18063 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15050 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 23827 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110000M220000M330000M440000M550000MSE +/- 228892930.90, N = 3SE +/- 338919345.53, N = 3SE +/- 1389668244.12, N = 3SE +/- 43613214.37, N = 3SE +/- 350336826.28, N = 3977070348203082073084372811918785672514155583704934344962501. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C800M1600M2400M3200M4000M559684188.572612982097.092743728420.232927424070.203626240465.70
MinAvgMaxEPYC 7601 - Zen 165.9174.6178.2EPYC 8324P - Zen 4C13.3118.0131.8EPYC 8324P - Zen 4C, 155W13.6102.5112.1EPYC 8324PN - Zen 4C12.985.994.2EPYC 8534PN - Zen 4C14.3136.1141.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 32064 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 21664 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18823 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15802 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 25037 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90000M180000M270000M360000M450000MSE +/- 220160896.72, N = 3SE +/- 72395520.64, N = 3SE +/- 104993783.37, N = 3SE +/- 288672373.67, N = 3SE +/- 171818503.35, N = 3899766108172653031134572428305268732164356602074244000382071. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C700M1400M2100M2800M3500M516298912.202258891761.222396310835.772539685896.323123938397.23
MinAvgMaxEPYC 7601 - Zen 165.3174.3178.2EPYC 8324P - Zen 4C13.3117.4132.0EPYC 8324P - Zen 4C, 155W13.7101.3115.1EPYC 8324PN - Zen 4C13.085.293.8EPYC 8534PN - Zen 4C14.4135.9141.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 32008 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 21610 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 18679 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15709 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 24907 Joules per run.

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60000M120000M180000M240000M300000MSE +/- 18792715.18, N = 3SE +/- 3614035.56, N = 3SE +/- 2748202.21, N = 3SE +/- 4106091.67, N = 3SE +/- 8141159.25, N = 3479355800601594476755171594310086201476020776502846962933731. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400M800M1200M1600M2000M280245644.361370606684.981474962096.071694474523.222095501066.50
MinAvgMaxEPYC 7601 - Zen 165.3171.0177.6EPYC 8324P - Zen 4C13.3116.3131.9EPYC 8324P - Zen 4C, 155W13.7108.1113.9EPYC 8324PN - Zen 4C12.587.190.7EPYC 8534PN - Zen 4C14.3135.9143.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 31416 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 21367 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 19853 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15999 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 24998 Joules per run.

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40000M80000M120000M160000M200000MSE +/- 21793844.67, N = 3SE +/- 5327895.48, N = 3SE +/- 3407926.56, N = 3SE +/- 36167959.31, N = 3SE +/- 52537274.39, N = 3303410466371131058928771123440838431010650231231960125738531. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C300M600M900M1200M1500M177417166.50947613075.921067969605.531181271903.831450412054.66
MinAvgMaxEPYC 7601 - Zen 165.9171.0177.9EPYC 8324P - Zen 4C13.3119.4130.2EPYC 8324P - Zen 4C, 155W13.9105.2110.7EPYC 8324PN - Zen 4C12.785.695.5EPYC 8534PN - Zen 4C14.2135.1142.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 31410 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 21922 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 19321 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15742 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 24866 Joules per run.

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5M10M15M20M25MSE +/- 105830.05, N = 3SE +/- 66583.28, N = 3SE +/- 106926.77, N = 3SE +/- 24037.01, N = 3SE +/- 18559.21, N = 313030000188800001895000018273333212333331. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250K87231.32208439.28208244.59243826.72195063.32
MinAvgMaxEPYC 7601 - Zen 165.4149.4162.5EPYC 8324P - Zen 4C13.290.697.7EPYC 8324P - Zen 4C, 155W14.091.098.6EPYC 8324PN - Zen 4C12.574.988.5EPYC 8534PN - Zen 4C12.3108.9118.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 13792 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 5857 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5885 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5021 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6350 Joules per run.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3M6M9M12M15MSE +/- 54569.02, N = 3SE +/- 29627.31, N = 3SE +/- 43333.33, N = 3SE +/- 25166.11, N = 3SE +/- 23094.01, N = 311443333143133331437666714030000163000001. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40K80K120K160K200K72917.48156624.76156169.03171302.45144074.42
OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 66.78 / Avg: 156.94 / Max: 165.21Min: 11.82 / Avg: 91.39 / Max: 93.79Min: 13.73 / Avg: 92.06 / Max: 94.71Min: 12.79 / Avg: 81.9 / Max: 87.72Min: 13.67 / Avg: 113.14 / Max: 116.641. EPYC 7601 - Zen 1: Approximate power consumption of 70359 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 32777 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 32896 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 29949 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 35713 Joules per run.

FFmpeg

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.4590.9181.3771.8362.2950.7041.9881.9772.0402.005

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 358.09109.84109.71109.77115.111. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.4590.9181.3771.8362.2950.7041.9881.9772.0402.005
MinAvgMaxEPYC 7601 - Zen 164.082.5112.1EPYC 8324P - Zen 4C12.055.274.9EPYC 8324P - Zen 4C, 155W13.555.574.6EPYC 8324PN - Zen 4C12.353.871.4EPYC 8534PN - Zen 4C13.257.478.9OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 10012 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4052 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4107 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3963 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4037 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.4022.2422.2522.2423.311. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.09110.18220.27330.36440.45550.1230.3960.3910.4050.404
MinAvgMaxEPYC 7601 - Zen 163.084.5141.4EPYC 8324P - Zen 4C12.756.286.2EPYC 8324P - Zen 4C, 155W13.357.089.0EPYC 8324PN - Zen 4C12.755.076.7EPYC 8534PN - Zen 4C12.257.789.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 29100 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11307 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11471 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 11051 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11161 Joules per run.

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.1730.3460.5190.6920.8650.2410.7530.7450.7690.766

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 321.0045.0745.0644.9947.081. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.1730.3460.5190.6920.8650.2410.7530.7440.7690.765
MinAvgMaxEPYC 7601 - Zen 137.887.0127.4EPYC 8324P - Zen 4C12.659.878.4EPYC 8324P - Zen 4C, 155W13.260.578.7EPYC 8324PN - Zen 4C12.758.574.5EPYC 8534PN - Zen 4C12.961.579.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 34331 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11685 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11845 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 11448 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11549 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 33.8131.2528.5825.4149.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C15K30K45K60K75KSE +/- 8.89, N = 3SE +/- 23.70, N = 3SE +/- 37.85, N = 3SE +/- 33.66, N = 3SE +/- 93.27, N = 313039.7052709.1949194.5543375.5571960.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.18, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3SE +/- 0.65, N = 3SE +/- 0.77, N = 342.43150.74144.27131.24202.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C10002000300040005000SE +/- 0.03, N = 3SE +/- 0.48, N = 3SE +/- 0.72, N = 3SE +/- 0.51, N = 3SE +/- 1.98, N = 3376.973102.132851.012520.774878.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6001200180024003000SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.65, N = 3SE +/- 1.22, N = 3SE +/- 0.56, N = 3296.421860.651710.421527.322816.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 1.37, N = 3SE +/- 1.86, N = 3SE +/- 1.13, N = 3SE +/- 1.32, N = 3SE +/- 2.30, N = 3464.481701.181563.361424.532547.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60120180240300SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.54, N = 338.63194.71180.32163.09295.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 0.47, N = 3SE +/- 1.73, N = 3SE +/- 1.37, N = 3SE +/- 1.85, N = 3SE +/- 9.00, N = 3878.715418.924977.134405.628310.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 0.74, N = 3SE +/- 0.64, N = 3SE +/- 5.36, N = 8SE +/- 0.39, N = 3SE +/- 0.42, N = 3188.86688.60621.82555.711086.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 3.62, N = 3149.01633.21579.34520.24934.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 321.0245.0145.1245.0347.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.1730.3460.5190.6920.8650.2410.7530.7450.7690.766
MinAvgMaxEPYC 7601 - Zen 162.587.1125.3EPYC 8324P - Zen 4C12.559.875.2EPYC 8324P - Zen 4C, 155W13.360.578.2EPYC 8324PN - Zen 4C11.958.675.3EPYC 8534PN - Zen 4C11.361.477.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 34386 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11715 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 11824 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 11458 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11502 Joules per run.

Embree

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

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 423.5842.9440.5036.7549.22
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12870.25740.38610.51480.64350.1550.4850.5060.5350.572
MinAvgMaxEPYC 7601 - Zen 165.3152.6171.2EPYC 8324P - Zen 4C12.988.5116.2EPYC 8324P - Zen 4C, 155W13.680.0102.0EPYC 8324PN - Zen 4C12.568.789.9EPYC 8534PN - Zen 4C12.086.0119.7OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 4475 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1615 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1500 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1409 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1419 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.03, N = 3SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.14, N = 427.2946.5444.8141.0251.33
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.14270.28540.42810.57080.71350.1840.5460.5810.6230.634
MinAvgMaxEPYC 7601 - Zen 164.4148.0169.3EPYC 8324P - Zen 4C12.885.3111.9EPYC 8324P - Zen 4C, 155W13.577.1102.8EPYC 8324PN - Zen 4C12.665.887.1EPYC 8534PN - Zen 4C13.481.0114.6OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 3897 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1450 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1349 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1234 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1315 Joules per run.

Embree

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

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.88291.76582.64873.53164.41450.7263.6653.6663.7393.924

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.47, N = 3SE +/- 1.24, N = 13SE +/- 1.73, N = 6SE +/- 1.17, N = 5SE +/- 2.10, N = 570.77182.26175.75167.16190.891. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.88291.76582.64873.53164.41450.7263.6653.6663.7393.924
MinAvgMaxEPYC 7601 - Zen 165.497.5157.6EPYC 8324P - Zen 4C12.049.7112.3EPYC 8324P - Zen 4C, 155W13.247.9100.4EPYC 8324PN - Zen 4C12.544.582.7EPYC 8534PN - Zen 4C12.748.6109.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 2112 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 669 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 647 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 622 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 642 Joules per run.

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.21710.43420.65130.86841.08550.2150.8260.8550.8820.965

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1428425670SE +/- 0.28, N = 5SE +/- 0.13, N = 4SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.39, N = 426.7558.0055.7251.5464.341. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.21710.43420.65130.86841.08550.2150.8260.8550.8820.965
MinAvgMaxEPYC 7601 - Zen 163.7124.3172.5EPYC 8324P - Zen 4C12.470.2112.0EPYC 8324P - Zen 4C, 155W13.265.297.5EPYC 8324PN - Zen 4C12.558.584.2EPYC 8534PN - Zen 4C12.266.7108.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 4202 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1281 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1222 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1140 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1151 Joules per run.

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02050.0410.06150.0820.10250.0240.0800.0820.0910.090

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C246810SE +/- 0.004, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.026, N = 33.0655.9115.8165.5516.5561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02050.0410.06150.0820.10250.0240.0800.0820.0910.090
MinAvgMaxEPYC 7601 - Zen 163.4125.1171.7EPYC 8324P - Zen 4C12.774.3120.0EPYC 8324P - Zen 4C, 155W13.370.5101.6EPYC 8324PN - Zen 4C12.661.386.3EPYC 8534PN - Zen 4C12.672.9105.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8009 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2673 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2563 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2328 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2431 Joules per run.

rav1e

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

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.075, N = 4SE +/- 0.141, N = 4SE +/- 0.138, N = 4SE +/- 0.146, N = 4SE +/- 0.125, N = 56.99511.79011.81811.82412.186
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.05090.10180.15270.20360.25450.0790.2220.2210.2260.223
MinAvgMaxEPYC 7601 - Zen 145.588.596.7EPYC 8324P - Zen 4C12.653.158.3EPYC 8324P - Zen 4C, 155W13.353.658.5EPYC 8324PN - Zen 4C12.252.356.9EPYC 8534PN - Zen 4C12.954.659.0OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor204060801001. EPYC 7601 - Zen 1: Approximate power consumption of 7946 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2918 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2973 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2878 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2907 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1.09532.19063.28594.38125.4765SE +/- 0.020, N = 3SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 32.9634.7064.7314.7274.868
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02030.04060.06090.08120.10150.0320.0890.0880.0900.090
MinAvgMaxEPYC 7601 - Zen 165.793.2104.7EPYC 8324P - Zen 4C12.553.160.2EPYC 8324P - Zen 4C, 155W13.354.061.3EPYC 8324PN - Zen 4C12.752.459.7EPYC 8534PN - Zen 4C12.254.261.9OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor204060801001. EPYC 7601 - Zen 1: Approximate power consumption of 6714 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2477 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2504 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2444 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2456 Joules per run.

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 314.2925.5525.4524.0327.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.08780.17560.26340.35120.4390.1120.3430.3420.3900.362
MinAvgMaxEPYC 7601 - Zen 164.3128.0150.6EPYC 8324P - Zen 4C10.474.695.5EPYC 8324P - Zen 4C, 155W13.274.491.2EPYC 8324PN - Zen 4C12.161.676.0EPYC 8534PN - Zen 4C12.676.196.9OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 5887 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2064 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2082 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1828 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2003 Joules per run.

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1122334455SE +/- 0.08, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.04, N = 422.2639.2537.3333.8247.65
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.12170.24340.36510.48680.60850.1460.4390.4640.4940.541
MinAvgMaxEPYC 7601 - Zen 164.3152.6171.9EPYC 8324P - Zen 4C13.089.3117.0EPYC 8324P - Zen 4C, 155W13.780.5105.1EPYC 8324PN - Zen 4C12.868.588.7EPYC 8534PN - Zen 4C13.788.2122.3OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 4782 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1742 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1630 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1506 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1477 Joules per run.

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.044, N = 3SE +/- 0.010, N = 3SE +/- 0.030, N = 3SE +/- 0.030, N = 3SE +/- 0.012, N = 36.35810.74110.63510.29111.2721. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.03560.07120.10680.14240.1780.0490.1340.1350.1470.158
MinAvgMaxEPYC 7601 - Zen 164.8129.1162.9EPYC 8324P - Zen 4C11.880.4107.5EPYC 8324P - Zen 4C, 155W13.178.7103.8EPYC 8324PN - Zen 4C12.969.889.3EPYC 8534PN - Zen 4C13.071.1115.0OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 12997 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4987 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4905 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4493 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5263 Joules per run.

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 521.8445.5143.1339.6074.93MIN: 21.59 / MAX: 22.16MIN: 45.23 / MAX: 46.5MIN: 42.84 / MAX: 43.66MIN: 39.34 / MAX: 40.89MIN: 73.96 / MAX: 76.92
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.16940.33880.50820.67760.8470.1350.4340.4980.5220.753
MinAvgMaxEPYC 7601 - Zen 165.7162.4177.6EPYC 8324P - Zen 4C12.7105.0134.4EPYC 8324P - Zen 4C, 155W14.086.6107.3EPYC 8324PN - Zen 4C12.875.995.2EPYC 8534PN - Zen 4C14.499.5140.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6333 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2240 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1904 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1797 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1493 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1326395265SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 318.4436.8934.2431.0859.05MIN: 18.15 / MAX: 18.78MIN: 36.22 / MAX: 37.68MIN: 33.72 / MAX: 35.12MIN: 30.63 / MAX: 31.81MIN: 57.98 / MAX: 61.17
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.18270.36540.54810.73080.91350.1120.3610.3730.3980.812
MinAvgMaxEPYC 7601 - Zen 165.9165.2178.1EPYC 8324P - Zen 4C12.5102.3133.5EPYC 8324P - Zen 4C, 155W13.791.8110.4EPYC 8324PN - Zen 4C12.978.196.0EPYC 8534PN - Zen 4C13.772.7142.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 7487 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2524 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2386 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2240 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1987 Joules per run.

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 0.43, N = 3SE +/- 0.21, N = 4SE +/- 0.86, N = 4SE +/- 1.51, N = 4SE +/- 0.47, N = 6358.251528.851427.411278.032491.171. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C5001000150020002500SE +/- 0.44, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.34, N = 3355.991532.271425.321276.472489.201. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

ACES DGEMM

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0540.1080.1620.2160.270.0250.1330.1400.1700.240

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C510152025SE +/- 0.031226, N = 3SE +/- 0.076181, N = 15SE +/- 0.135732, N = 3SE +/- 0.073791, N = 3SE +/- 0.111892, N = 53.88677611.64561611.43484911.51727221.1388191. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0540.1080.1620.2160.270.0250.1330.1400.1700.240
MinAvgMaxEPYC 7601 - Zen 164.6154.9170.2EPYC 8324P - Zen 4C12.387.3115.0EPYC 8324P - Zen 4C, 155W13.581.5109.9EPYC 8324PN - Zen 4C12.667.989.1EPYC 8534PN - Zen 4C12.988.1130.7OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9859 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2089 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1984 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1674 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1339 Joules per run.

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9001800270036004500SE +/- 12.26, N = 3SE +/- 7.57, N = 3SE +/- 19.57, N = 3SE +/- 16.58, N = 3SE +/- 6.81, N = 31042.74043.24031.73938.54374.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C11223344557.45341.05040.52750.34035.481
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.8 / Avg: 139.9 / Max: 146.26Min: 12.7 / Avg: 98.5 / Max: 101.31Min: 13.53 / Avg: 99.48 / Max: 102.3Min: 13.02 / Avg: 78.24 / Max: 88.48Min: 14.94 / Avg: 123.28 / Max: 126.951. EPYC 7601 - Zen 1: Approximate power consumption of 134495 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 24854 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 25202 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 20290 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 28764 Joules per run.

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020032.66150.56174.20189.12160.74

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6012018024030057.58219.80233.10247.53265.91

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.27149.20172.66188.75157.77

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.30148.12173.49190.30157.28

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 155.10, N = 12SE +/- 56.24, N = 3SE +/- 43.26, N = 3SE +/- 34.05, N = 3SE +/- 5.73, N = 34973.318908.918129.016892.320484.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020032.66150.56174.20189.12160.74
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 66.88 / Avg: 152.27 / Max: 164.27Min: 12.79 / Avg: 125.59 / Max: 136.69Min: 12.76 / Avg: 104.07 / Max: 113.63Min: 12.76 / Avg: 89.32 / Max: 95.35Min: 13.56 / Avg: 127.44 / Max: 140.881. EPYC 7601 - Zen 1: Approximate power consumption of 32155 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7326 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6314 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5776 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6839 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C8K16K24K32K40KSE +/- 120.26, N = 3SE +/- 52.06, N = 3SE +/- 6.52, N = 3SE +/- 107.46, N = 3SE +/- 47.09, N = 39331.625644.324096.221769.235370.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6012018024030057.58219.80233.10247.53265.91
MinAvgMaxEPYC 7601 - Zen 165.7162.1172.1EPYC 8324P - Zen 4C13.3116.4133.1EPYC 8324P - Zen 4C, 155W12.8103.4113.7EPYC 8324PN - Zen 4C13.187.995.9EPYC 8534PN - Zen 4C14.3133.0154.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 18801 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 5198 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4859 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4544 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4478 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 202.60, N = 12SE +/- 50.80, N = 3SE +/- 49.53, N = 3SE +/- 103.09, N = 3SE +/- 12.46, N = 35061.318922.718090.916799.220477.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.27149.20172.66188.75157.77
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.42 / Avg: 152.14 / Max: 165.08Min: 11.2 / Avg: 126.83 / Max: 137.8Min: 13.38 / Avg: 104.78 / Max: 115.54Min: 13.06 / Avg: 89 / Max: 95.54Min: 14.55 / Avg: 129.79 / Max: 142.641. EPYC 7601 - Zen 1: Approximate power consumption of 31798 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7356 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6392 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5785 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7009 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 166.19, N = 12SE +/- 41.98, N = 3SE +/- 44.77, N = 3SE +/- 35.06, N = 3SE +/- 6.48, N = 35087.418883.218155.016932.820489.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020033.30148.12173.49190.30157.28
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.89 / Avg: 152.79 / Max: 165.66Min: 13.49 / Avg: 127.49 / Max: 138.25Min: 13.62 / Avg: 104.64 / Max: 114.31Min: 13.05 / Avg: 88.98 / Max: 95.94Min: 14.85 / Avg: 130.27 / Max: 143.141. EPYC 7601 - Zen 1: Approximate power consumption of 31590 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7437 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6279 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5784 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7078 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4K8K12K16K20KSE +/- 218.18, N = 11SE +/- 43.40, N = 3SE +/- 61.47, N = 3SE +/- 33.52, N = 3SE +/- 5.33, N = 34687.918875.218088.716877.920487.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C408012016020031.23148.73171.50189.15155.95
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.67 / Avg: 150.11 / Max: 166.71Min: 13.6 / Avg: 126.91 / Max: 138.03Min: 13.02 / Avg: 105.47 / Max: 115Min: 13.09 / Avg: 89.23 / Max: 95.56Min: 14.11 / Avg: 131.37 / Max: 143.811. EPYC 7601 - Zen 1: Approximate power consumption of 33899 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7445 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6399 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5800 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7050 Joules per run.

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.00380.00760.01140.01520.0190.0030.0120.0120.0130.017

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.481.111.030.931.71
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.00380.00760.01140.01520.0190.0030.0120.0120.0130.017
MinAvgMaxEPYC 7601 - Zen 165.5165.0174.6EPYC 8324P - Zen 4C13.296.0121.1EPYC 8324P - Zen 4C, 155W13.785.6101.3EPYC 8324PN - Zen 4C11.772.983.5EPYC 8534PN - Zen 4C12.9101.2124.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11057 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3070 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2911 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2698 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2227 Joules per run.

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 38.7751.7051.0347.7748.56
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.13140.26280.39420.52560.6570.0680.5530.5510.5840.519
MinAvgMaxEPYC 7601 - Zen 164.2129.4142.8EPYC 8324P - Zen 4C13.093.5112.6EPYC 8324P - Zen 4C, 155W13.292.6109.9EPYC 8324PN - Zen 4C6.781.997.1EPYC 8534PN - Zen 4C13.093.6109.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 27515 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4084 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4075 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3792 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4273 Joules per run.

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00308, N = 3SE +/- 0.02105, N = 3SE +/- 0.02664, N = 3SE +/- 0.02953, N = 3SE +/- 0.01491, N = 32.599619.142578.788987.9791015.05960
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.03020.06040.09060.12080.1510.0170.0860.0990.1060.134
MinAvgMaxEPYC 7601 - Zen 165.9154.5177.4EPYC 8324P - Zen 4C13.5105.7121.6EPYC 8324P - Zen 4C, 155W13.788.9106.3EPYC 8324PN - Zen 4C13.175.389.0EPYC 8534PN - Zen 4C13.7112.5134.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9066 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7013 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5958 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5149 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6900 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.01198, N = 3SE +/- 0.01463, N = 3SE +/- 0.02613, N = 3SE +/- 0.01310, N = 3SE +/- 0.00073, N = 32.452768.836228.456347.6653214.61310
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02930.05860.08790.11720.14650.0160.0830.0950.1010.130
MinAvgMaxEPYC 7601 - Zen 165.1155.2177.3EPYC 8324P - Zen 4C11.4106.4122.1EPYC 8324P - Zen 4C, 155W13.789.2107.3EPYC 8324PN - Zen 4C12.475.589.1EPYC 8534PN - Zen 4C13.8112.7134.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9159 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7092 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5979 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5186 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6910 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00450, N = 3SE +/- 0.00420, N = 3SE +/- 0.02372, N = 3SE +/- 0.01797, N = 3SE +/- 0.02133, N = 35.285768.797738.757848.1323114.90860
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02860.05720.08580.11440.1430.0310.0830.0910.1050.127
MinAvgMaxEPYC 7601 - Zen 165.2170.3175.8EPYC 8324P - Zen 4C13.2106.5111.2EPYC 8324P - Zen 4C, 155W13.795.9110.1EPYC 8324PN - Zen 4C12.577.286.1EPYC 8534PN - Zen 4C13.7117.1126.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 21453 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11826 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10681 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 8754 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11985 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00520, N = 3SE +/- 0.00075, N = 3SE +/- 0.00699, N = 3SE +/- 0.00484, N = 3SE +/- 0.00619, N = 34.1465510.493909.873738.8936116.89540
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0340.0680.1020.1360.170.0260.1070.1130.1190.151
MinAvgMaxEPYC 7601 - Zen 164.9158.4177.4EPYC 8324P - Zen 4C13.098.1122.1EPYC 8324P - Zen 4C, 155W13.787.1106.8EPYC 8324PN - Zen 4C12.674.986.9EPYC 8534PN - Zen 4C14.2111.9133.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 13253 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6309 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5692 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4995 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6752 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.00416, N = 3SE +/- 0.00419, N = 3SE +/- 0.01425, N = 3SE +/- 0.00550, N = 3SE +/- 0.01627, N = 35.229278.770438.758968.1435814.85490
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.0320.0640.0960.1280.160.0340.0930.1000.1110.142
MinAvgMaxEPYC 7601 - Zen 160.0155.5175.7EPYC 8324P - Zen 4C12.894.0110.8EPYC 8324P - Zen 4C, 155W13.887.3109.1EPYC 8324PN - Zen 4C12.673.485.4EPYC 8534PN - Zen 4C13.6104.4125.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 27998 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 15102 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 14020 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 11891 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 15688 Joules per run.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 398.90147.25147.28147.22164.21
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.4410.8821.3231.7642.2050.6511.5011.7211.9601.460
MinAvgMaxEPYC 7601 - Zen 165.4151.9175.1EPYC 8324P - Zen 4C12.698.1119.5EPYC 8324P - Zen 4C, 155W13.685.6106.9EPYC 8324PN - Zen 4C12.875.188.1EPYC 8534PN - Zen 4C13.8112.4131.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 23594 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 16938 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 12441 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 11016 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 20428 Joules per run.

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 2.58, N = 3SE +/- 1.14, N = 3SE +/- 0.55, N = 3SE +/- 0.29, N = 3SE +/- 0.39, N = 3246.64818.31752.59674.931287.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60120180240300SE +/- 0.71, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 384.43181.23169.56152.21281.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.41, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3138.03266.96254.30229.54429.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 310.4521.0219.6417.7632.16

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 368.16122.37114.62103.44191.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 368.95122.93115.42104.13192.06

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.3421.0019.7517.6732.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1326395265SE +/- 0.0850, N = 3SE +/- 0.0215, N = 3SE +/- 0.0667, N = 3SE +/- 0.0604, N = 3SE +/- 0.1049, N = 38.509738.820235.792932.128956.8419

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.48, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.37, N = 3138.53266.99254.13229.91429.36

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C7001400210028003500SE +/- 0.21, N = 3SE +/- 7.34, N = 3SE +/- 2.41, N = 3SE +/- 2.26, N = 3SE +/- 2.41, N = 3152.962193.092099.321906.393450.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 312.2225.8424.4721.9140.64

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C130260390520650SE +/- 1.39, N = 3SE +/- 1.61, N = 3SE +/- 1.23, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3128.67383.70357.30320.86613.23

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C510152025SE +/- 0.024, N = 3SE +/- 0.058, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.020, N = 38.58613.57312.57211.24921.767
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.04370.08740.13110.17480.21850.0510.1220.1300.1370.194
MinAvgMaxEPYC 7601 - Zen 164.9166.9178.8EPYC 8324P - Zen 4C12.6111.0122.4EPYC 8324P - Zen 4C, 155W13.796.6108.8EPYC 8324PN - Zen 4C12.482.088.8EPYC 8534PN - Zen 4C13.4112.4140.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11070 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7327 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6408 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5438 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8581 Joules per run.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.010, N = 3SE +/- 0.021, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 33.9856.1775.7205.1279.973
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.02210.04420.06630.08840.11050.0240.0550.0580.0610.098
MinAvgMaxEPYC 7601 - Zen 165.4165.8179.2EPYC 8324P - Zen 4C13.3112.5129.6EPYC 8324P - Zen 4C, 155W13.898.9111.2EPYC 8324PN - Zen 4C12.483.691.8EPYC 8534PN - Zen 4C7.0101.7142.9OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11333 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7461 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6526 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5571 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8980 Joules per run.

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30K60K90K120K150KSE +/- 165.76, N = 3SE +/- 60.04, N = 3SE +/- 100.68, N = 3SE +/- 122.23, N = 3SE +/- 29.72, N = 364469.498717.290654.180175.3154830.91. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500384.04945.62967.971007.581273.59
MinAvgMaxEPYC 7601 - Zen 164.3167.9179.0EPYC 8324P - Zen 4C12.8104.4122.9EPYC 8324P - Zen 4C, 155W13.393.7108.8EPYC 8324PN - Zen 4C12.579.695.3EPYC 8534PN - Zen 4C12.5121.6136.3OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 17235 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7238 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6962 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6658 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 10455 Joules per run.

7-Zip Compression

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C7001400210028003500846.162150.102334.062439.423105.30

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 1639.95, N = 3SE +/- 329.87, N = 3SE +/- 172.23, N = 3SE +/- 39.63, N = 3SE +/- 303.12, N = 31237462400832289572124583329221. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 602.42, N = 3SE +/- 111.02, N = 3SE +/- 181.34, N = 3SE +/- 170.94, N = 3SE +/- 107.49, N = 31334902111872000341790723439461. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C7001400210028003500846.162150.102334.062439.423105.30
MinAvgMaxEPYC 7601 - Zen 165.9157.8178.5EPYC 8324P - Zen 4C12.898.2130.5EPYC 8324P - Zen 4C, 155W13.685.7113.3EPYC 8324PN - Zen 4C12.373.490.8EPYC 8534PN - Zen 4C13.2110.8145.7OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9203 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3601 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3285 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3059 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5132 Joules per run.

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 313.7818.4117.4215.6925.721. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.04520.09040.13560.18080.2260.0800.1670.1810.1920.201
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.64 / Avg: 172.36 / Max: 175.68Min: 13.52 / Avg: 110.02 / Max: 122.84Min: 13.86 / Avg: 96.46 / Max: 105.29Min: 12.96 / Avg: 81.74 / Max: 84.69Min: 12.93 / Avg: 128 / Max: 132.351. EPYC 7601 - Zen 1: Approximate power consumption of 108584 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 52074 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 48232 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 45365 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 43606 Joules per run.

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 1316.75, N = 8SE +/- 371.97, N = 3SE +/- 522.48, N = 3SE +/- 423.47, N = 3SE +/- 1997.81, N = 3150277223293224034212207244177
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6001200180024003000977.632451.592447.902829.252486.66
MinAvgMaxEPYC 7601 - Zen 163.3153.7181.9EPYC 8324P - Zen 4C12.791.1108.3EPYC 8324P - Zen 4C, 155W13.491.5104.6EPYC 8324PN - Zen 4C11.875.087.7EPYC 8534PN - Zen 4C12.598.2123.2OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 21232 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 13298 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13332 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 10926 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 15318 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50M100M150M200M250MSE +/- 986396.38, N = 3SE +/- 141623.12, N = 3SE +/- 1751764.05, N = 3SE +/- 227689.47, N = 3SE +/- 139678.30, N = 3859904451637717621479915551322481922488426161. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500K505924.531624547.011658329.331749308.712534080.33
MinAvgMaxEPYC 7601 - Zen 165.6170.0178.3EPYC 8324P - Zen 4C13.1100.8111.0EPYC 8324P - Zen 4C, 155W13.789.297.6EPYC 8324PN - Zen 4C12.875.686.1EPYC 8534PN - Zen 4C13.198.2128.2OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10935 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6485 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5711 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4864 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7332 Joules per run.

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20K40K60K80K100K35300.6064987.0774216.6588296.45108503.02

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6K12K18K24K30K9121.9120899.6322326.8925808.6820292.36

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90018002700360045001640.504050.084047.084423.423874.59

RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500K499648.821613507.121652219.581742913.892230797.09

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3M6M9M12M15MSE +/- 81525.26, N = 3SE +/- 52967.61, N = 15SE +/- 7924.49, N = 3SE +/- 50044.04, N = 3SE +/- 117697.08, N = 155954251729061071622036934544125853151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20K40K60K80K100K35300.6064987.0774216.6588296.45108503.02
MinAvgMaxEPYC 7601 - Zen 165.3168.7178.1EPYC 8324P - Zen 4C11.8112.2124.5EPYC 8324P - Zen 4C, 155W13.696.5108.8EPYC 8324PN - Zen 4C12.878.591.1EPYC 8534PN - Zen 4C12.6116.0134.1OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10851 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7202 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6208 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5079 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7447 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500KSE +/- 4528.27, N = 3SE +/- 3849.48, N = 3SE +/- 1300.80, N = 3SE +/- 1833.01, N = 3SE +/- 2240.30, N = 3144781922337442133311198225722720261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C6K12K18K24K30K9121.9120899.6322326.8925808.6820292.36
MinAvgMaxEPYC 7601 - Zen 165.3158.7177.5EPYC 8324P - Zen 4C13.1106.9119.8EPYC 8324P - Zen 4C, 155W13.795.5110.7EPYC 8324PN - Zen 4C12.276.890.2EPYC 8534PN - Zen 4C14.1112.0127.0OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10264 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6876 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6115 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4967 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7240 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 190.36, N = 3SE +/- 579.72, N = 3SE +/- 167.58, N = 3SE +/- 863.96, N = 3SE +/- 2986.90, N = 152038233172503176343057293497451. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90018002700360045001640.504050.084047.084423.423874.59
MinAvgMaxEPYC 7601 - Zen 165.1124.2142.7EPYC 8324P - Zen 4C12.278.388.2EPYC 8324P - Zen 4C, 155W13.678.588.0EPYC 8324PN - Zen 4C12.969.179.1EPYC 8534PN - Zen 4C13.190.3116.2OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 8034 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 5039 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5075 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4446 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5825 Joules per run.

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50M100M150M200M250MSE +/- 709803.02, N = 3SE +/- 126210.06, N = 3SE +/- 294601.47, N = 3SE +/- 242981.96, N = 3SE +/- 187915.38, N = 3846164081616788761477217691312068302489693871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C500K1000K1500K2000K2500K499648.821613507.121652219.581742913.892230797.09
MinAvgMaxEPYC 7601 - Zen 166.2169.4178.6EPYC 8324P - Zen 4C12.6100.2110.8EPYC 8324P - Zen 4C, 155W13.689.496.6EPYC 8324PN - Zen 4C12.775.380.3EPYC 8534PN - Zen 4C12.8111.6129.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10895 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6413 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5722 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4818 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7143 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1.4M2.8M4.2M5.6M7MSE +/- 36400.82, N = 3SE +/- 38567.21, N = 15SE +/- 47925.84, N = 5SE +/- 3126.89, N = 3SE +/- 64443.01, N = 15346369543943104301343410731366880891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C12K24K36K48K60K20446.3538762.7243556.2651316.2957031.64
MinAvgMaxEPYC 7601 - Zen 165.8169.4177.9EPYC 8324P - Zen 4C13.2113.4129.0EPYC 8324P - Zen 4C, 155W13.598.8110.3EPYC 8324PN - Zen 4C12.180.093.0EPYC 8534PN - Zen 4C13.7117.3138.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10842 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7255 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6320 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5149 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7521 Joules per run.

Redis 7.0.12 + memtier_benchmark

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7946.0432673.7937066.2541473.4628227.25

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7148.8932252.2836173.1239908.9127624.53

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000KSE +/- 10214.62, N = 3SE +/- 3585.70, N = 3SE +/- 16343.62, N = 3SE +/- 11338.77, N = 3SE +/- 20726.56, N = 31277853.472842511.462789711.342562876.162568868.491. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7946.0432673.7937066.2541473.4628227.25
MinAvgMaxEPYC 7601 - Zen 164.4160.8178.4EPYC 8324P - Zen 4C11.287.099.1EPYC 8324P - Zen 4C, 155W13.675.393.2EPYC 8324PN - Zen 4C11.361.876.7EPYC 8534PN - Zen 4C13.591.0106.9OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11418 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6119 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5369 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4367 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6492 Joules per run.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000KSE +/- 11184.62, N = 3SE +/- 10431.24, N = 3SE +/- 15002.29, N = 3SE +/- 18767.16, N = 3SE +/- 10691.43, N = 31159654.332795965.052720321.302500035.092513019.321. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C9K18K27K36K45K7148.8932252.2836173.1239908.9127624.53
MinAvgMaxEPYC 7601 - Zen 166.5162.2178.4EPYC 8324P - Zen 4C12.086.799.3EPYC 8324P - Zen 4C, 155W13.475.293.2EPYC 8324PN - Zen 4C12.362.675.6EPYC 8534PN - Zen 4C12.391.0105.2OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11409 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6126 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5289 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4427 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6489 Joules per run.

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20M40M60M80M100MSE +/- 395656.07, N = 3SE +/- 458351.52, N = 3SE +/- 1107129.95, N = 12SE +/- 90002.32, N = 3SE +/- 820005.27, N = 35195073580321359702949017728515282731495

nginx

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000540.031365.651532.611663.271785.71

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 911.83, N = 3SE +/- 549.43, N = 3SE +/- 1108.21, N = 3SE +/- 213.01, N = 3SE +/- 217.83, N = 394936.99164234.98149458.34136660.96229161.911. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000561.581355.861536.381656.121802.11
MinAvgMaxEPYC 7601 - Zen 160.9169.1178.8EPYC 8324P - Zen 4C11.6121.1132.4EPYC 8324P - Zen 4C, 155W12.997.3110.2EPYC 8324PN - Zen 4C11.782.591.8EPYC 8534PN - Zen 4C12.6127.2140.0OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 16398 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11750 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9436 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 8004 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 12335 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50K100K150K200K250KSE +/- 357.56, N = 3SE +/- 343.16, N = 3SE +/- 49.01, N = 3SE +/- 199.18, N = 3SE +/- 302.03, N = 390952.15166799.14151923.62139259.26232146.411. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000540.031365.651532.611663.271785.71
MinAvgMaxEPYC 7601 - Zen 163.9168.4177.8EPYC 8324P - Zen 4C12.3122.1134.6EPYC 8324P - Zen 4C, 155W13.599.1113.1EPYC 8324PN - Zen 4C12.883.792.6EPYC 8534PN - Zen 4C13.4130.0141.7OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 16337 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11807 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9582 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 8149 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 12610 Joules per run.

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

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

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60M120M180M240M300MSE +/- 1494376.42, N = 3SE +/- 634968.78, N = 3SE +/- 2369703.74, N = 3SE +/- 363531.75, N = 3SE +/- 1948629.96, N = 31817959672687732672587161672475001332883943001. (CXX) g++ options: -O3 -fopenmp -ldl
OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C600K1200K1800K2400K3000K1133698.872566916.472674408.732943707.262490692.28
MinAvgMaxEPYC 7601 - Zen 166.0160.4176.7EPYC 8324P - Zen 4C12.6104.7123.6EPYC 8324P - Zen 4C, 155W14.296.7118.5EPYC 8324PN - Zen 4C13.084.1103.7EPYC 8534PN - Zen 4C14.7115.8137.0OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 7911 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3665 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3515 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3167 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 3898 Joules per run.

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C48121620SE +/- 0.03, N = 12SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 32.4917.9317.0917.061. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.04190.08380.12570.16760.20950.0190.1740.1790.186
OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 64.3 / Avg: 132.73 / Max: 166.67Min: 12.93 / Avg: 103.08 / Max: 130.52Min: 13.19 / Avg: 95.63 / Max: 116.67Min: 12.55 / Avg: 91.51 / Max: 104.231. EPYC 7601 - Zen 1: Approximate power consumption of 26867 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3814 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3698 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3295 Joules per run.

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.07790.15580.23370.31160.38950.0320.3200.3300.346

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.77181.54362.31543.08723.859SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.463.432.933.111. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.0070.0140.0210.0280.0350.0030.0270.0280.031
OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 63.96 / Avg: 134.92 / Max: 177.01Min: 12.95 / Avg: 126.42 / Max: 141.34Min: 12.23 / Avg: 103.99 / Max: 121.16Min: 12.75 / Avg: 101.14 / Max: 109.81. EPYC 7601 - Zen 1: Approximate power consumption of 129159 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 22208 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 20417 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15373 Joules per run.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C714212835SE +/- 0.12, N = 15SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 34.2029.7229.3828.561. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C0.07790.15580.23370.31160.38950.0320.3200.3300.346
OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4C306090120150Min: 64.91 / Avg: 132.4 / Max: 153.98Min: 11.76 / Avg: 92.91 / Max: 119.13Min: 12.5 / Avg: 89.09 / Max: 113.31Min: 12.62 / Avg: 82.44 / Max: 100.451. EPYC 7601 - Zen 1: Approximate power consumption of 14661 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2199 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2138 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1924 Joules per run.

OpenSSL

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

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C200K400K600K800K1000KSE +/- 714.27, N = 3SE +/- 61.89, N = 3SE +/- 30.98, N = 3SE +/- 22.57, N = 3SE +/- 136.41, N = 3292445.3457516.3457514.1430171.6828697.41. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C150030004500600075001719.964477.075076.375622.237110.60
MinAvgMaxEPYC 7601 - Zen 165.7170.0178.2EPYC 8324P - Zen 4C13.4102.2116.0EPYC 8324P - Zen 4C, 155W13.790.1102.2EPYC 8324PN - Zen 4C12.276.583.6EPYC 8534PN - Zen 4C14.6116.5129.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10825 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6574 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5798 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4897 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7498 Joules per run.

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C12K24K36K48K60KSE +/- 105.66, N = 3SE +/- 277.30, N = 3SE +/- 150.82, N = 3SE +/- 326.21, N = 3SE +/- 123.39, N = 31991433510315362817754204
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550136.76351.76361.93377.52487.44
MinAvgMaxEPYC 7601 - Zen 164.1145.6179.2EPYC 8324P - Zen 4C12.995.3122.0EPYC 8324P - Zen 4C, 155W13.587.1106.2EPYC 8324PN - Zen 4C12.274.691.5EPYC 8534PN - Zen 4C13.7111.2137.4OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 12814 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 8002 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7319 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6269 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 9341 Joules per run.

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.92, N = 3SE +/- 0.50, N = 3SE +/- 0.98, N = 12SE +/- 0.18, N = 3SE +/- 0.27, N = 386.1957.2162.6058.9254.71MAX: 12666.75MAX: 10096.05MAX: 11339.9MAX: 10097.01MAX: 10074.09
MinAvgMaxEPYC 7601 - Zen 162.6113.6173.4EPYC 8324P - Zen 4C12.654.7118.9EPYC 8324P - Zen 4C, 155W13.155.6125.1EPYC 8324PN - Zen 4C12.549.199.2EPYC 8534PN - Zen 4C12.755.7128.6OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 20529 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7214 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6288 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6558 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7185 Joules per run.

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.21890.43780.65670.87561.0945SE +/- 0.00038, N = 3SE +/- 0.00067, N = 3SE +/- 0.00161, N = 3SE +/- 0.00094, N = 3SE +/- 0.00128, N = 30.972820.677280.735580.827900.43200
MinAvgMaxEPYC 7601 - Zen 165.7165.3178.5EPYC 8324P - Zen 4C13.5106.4125.6EPYC 8324P - Zen 4C, 155W13.994.8107.7EPYC 8324PN - Zen 4C12.180.990.2EPYC 8534PN - Zen 4C14.7118.1142.8OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10909 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4044 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3857 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3990 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 3346 Joules per run.

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 15.18, N = 3SE +/- 2.31, N = 3SE +/- 1.76, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 384523493378742222146
MinAvgMaxEPYC 7601 - Zen 165.3144.1178.5EPYC 8324P - Zen 4C13.194.5126.4EPYC 8324P - Zen 4C, 155W13.685.3105.7EPYC 8324PN - Zen 4C12.773.988.3EPYC 8534PN - Zen 4C13.5106.9135.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 14264 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7879 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7140 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6407 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8377 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30K60K90K120K150KSE +/- 111.55, N = 3SE +/- 328.77, N = 3SE +/- 266.18, N = 3SE +/- 220.99, N = 3SE +/- 242.81, N = 314556062633671537402340603
MinAvgMaxEPYC 7601 - Zen 165.5157.3178.6EPYC 8324P - Zen 4C13.192.0126.7EPYC 8324P - Zen 4C, 155W13.785.9108.4EPYC 8324PN - Zen 4C12.974.987.7EPYC 8534PN - Zen 4C13.598.3134.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 25952 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7451 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7189 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6790 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5601 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C60K120K180K240K300KSE +/- 491.07, N = 3SE +/- 153.74, N = 3SE +/- 87.82, N = 3SE +/- 49.00, N = 3SE +/- 78.83, N = 328113711851412815414216074752
MinAvgMaxEPYC 7601 - Zen 165.1165.8178.7EPYC 8324P - Zen 4C12.5103.1127.2EPYC 8324P - Zen 4C, 155W13.792.5105.3EPYC 8324PN - Zen 4C12.279.790.8EPYC 8534PN - Zen 4C13.8111.9135.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 49856 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 13954 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13376 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 12642 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 10184 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2K4K6K8K10KSE +/- 27.62, N = 3SE +/- 1.33, N = 3SE +/- 2.31, N = 3SE +/- 2.03, N = 3SE +/- 0.88, N = 3100544152449350042544
MinAvgMaxEPYC 7601 - Zen 165.8144.5178.8EPYC 8324P - Zen 4C12.096.2122.4EPYC 8324P - Zen 4C, 155W13.786.0105.2EPYC 8324PN - Zen 4C12.574.589.2EPYC 8534PN - Zen 4C12.7108.6136.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 14644 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 8209 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 7421 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6581 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8762 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C40K80K120K160K200KSE +/- 111.00, N = 3SE +/- 65.51, N = 3SE +/- 239.39, N = 3SE +/- 286.09, N = 3SE +/- 85.58, N = 317087173127786108667847472
MinAvgMaxEPYC 7601 - Zen 165.3159.9178.7EPYC 8324P - Zen 4C11.196.9122.6EPYC 8324P - Zen 4C, 155W13.687.5106.3EPYC 8324PN - Zen 4C12.876.291.4EPYC 8534PN - Zen 4C14.2101.8135.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 30479 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 8685 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 8342 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 7899 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6515 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C70K140K210K280K350KSE +/- 408.43, N = 3SE +/- 125.49, N = 3SE +/- 149.58, N = 3SE +/- 85.59, N = 3SE +/- 229.98, N = 333194513973715041016720987860
MinAvgMaxEPYC 7601 - Zen 165.1167.1178.6EPYC 8324P - Zen 4C13.2105.6124.0EPYC 8324P - Zen 4C, 155W13.794.1108.3EPYC 8324PN - Zen 4C12.980.890.5EPYC 8534PN - Zen 4C13.9115.1136.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 58659 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 16472 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 15675 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 14835 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11975 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 32096.01510.71558.29627.46644.80MIN: 2092.33 / MAX: 2113.24MIN: 471.88 / MAX: 558.37MIN: 500.71 / MAX: 574MIN: 560 / MAX: 672.37MIN: 320.58 / MAX: 691.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.8149.2164.7EPYC 8324P - Zen 4C13.3104.3122.2EPYC 8324P - Zen 4C, 155W13.294.1105.1EPYC 8324PN - Zen 4C12.878.589.0EPYC 8534PN - Zen 4C13.0120.2133.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10794 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7093 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6369 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5365 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8172 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C0.5491.0981.6472.1962.745SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.440.470.510.570.61MIN: 2.39 / MAX: 9.34MIN: 0.27 / MAX: 11.17MIN: 0.28 / MAX: 50.42MIN: 0.29 / MAX: 15.45MIN: 0.27 / MAX: 24.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.4158.2170.3EPYC 8324P - Zen 4C11.7108.3128.7EPYC 8324P - Zen 4C, 155W13.095.1107.0EPYC 8324PN - Zen 4C13.079.789.2EPYC 8534PN - Zen 4C13.5120.8131.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10126 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7003 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6152 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5130 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7852 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.84, N = 3SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.62, N = 3SE +/- 0.61, N = 3188.25106.00110.77121.74157.93MIN: 171.32 / MAX: 233.13MIN: 49.62 / MAX: 149.63MIN: 56.47 / MAX: 138.98MIN: 59.66 / MAX: 172.6MIN: 61.12 / MAX: 229.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.8166.9177.2EPYC 8324P - Zen 4C13.0116.5130.1EPYC 8324P - Zen 4C, 155W13.5102.0112.3EPYC 8324PN - Zen 4C13.087.099.0EPYC 8534PN - Zen 4C14.0135.5149.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11014 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7569 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6662 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5744 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8940 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 384.7710.2011.1212.5812.97MIN: 76.49 / MAX: 98.5MIN: 5.92 / MAX: 71.44MIN: 6.69 / MAX: 66.41MIN: 6.18 / MAX: 27.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 165.0150.9163.1EPYC 8324P - Zen 4C13.4105.0123.3EPYC 8324P - Zen 4C, 155W13.093.2104.2EPYC 8324PN - Zen 4C12.179.589.5EPYC 8534PN - Zen 4C14.7123.5133.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9760 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6755 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5997 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5142 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7942 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 326.968.529.2910.3911.24MIN: 26.82 / MAX: 36.46MIN: 4.86 / MAX: 58.62MIN: 5.21 / MAX: 64.17MIN: 6.01 / MAX: 19.76MIN: 6.13 / MAX: 91.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.6153.2165.8EPYC 8324P - Zen 4C12.7106.6124.5EPYC 8324P - Zen 4C, 155W13.594.2105.1EPYC 8324PN - Zen 4C12.980.690.1EPYC 8534PN - Zen 4C14.6128.8140.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9909 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6890 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6091 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5237 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8326 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.209.3410.1811.1512.47MIN: 16.21 / MAX: 31.68MIN: 5.89 / MAX: 67.06MIN: 6.06 / MAX: 60MIN: 7.24 / MAX: 68.4MIN: 7.72 / MAX: 24.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.7165.9176.2EPYC 8324P - Zen 4C13.3110.5119.3EPYC 8324P - Zen 4C, 155W13.598.0108.0EPYC 8324PN - Zen 4C12.682.188.2EPYC 8534PN - Zen 4C14.6123.5136.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10783 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7147 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6400 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5337 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8111 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.83, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3206.7282.0088.5597.91108.06MIN: 173.41 / MAX: 362.84MIN: 44.77 / MAX: 103.78MIN: 48.33 / MAX: 138.85MIN: 52.76 / MAX: 116.94MIN: 53.32 / MAX: 156.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.9165.7175.9EPYC 8324P - Zen 4C13.3113.1127.7EPYC 8324P - Zen 4C, 155W13.5101.9112.7EPYC 8324PN - Zen 4C12.685.097.1EPYC 8534PN - Zen 4C14.5131.7146.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10936 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 7427 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6625 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5607 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8648 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 39.095.776.307.137.52MIN: 9.03 / MAX: 17.52MIN: 3.23 / MAX: 59.13MIN: 3.34 / MAX: 35.73MIN: 3.71 / MAX: 59.81MIN: 3.38 / MAX: 63.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 165.0151.0162.8EPYC 8324P - Zen 4C12.9105.9120.6EPYC 8324P - Zen 4C, 155W13.294.2106.4EPYC 8324PN - Zen 4C12.280.189.9EPYC 8534PN - Zen 4C14.4126.6136.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 9716 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6846 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6122 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5204 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8228 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.68, N = 3SE +/- 0.04, N = 3SE +/- 0.47, N = 8SE +/- 0.04, N = 3SE +/- 0.02, N = 3169.2146.3951.4157.5058.78MIN: 140.86 / MAX: 197.95MIN: 30.48 / MAX: 56.26MIN: 31.75 / MAX: 122.86MIN: 36.68 / MAX: 102.88MIN: 36.54 / MAX: 118.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 164.7168.1177.3EPYC 8324P - Zen 4C12.4106.7121.1EPYC 8324P - Zen 4C, 155W12.795.9108.8EPYC 8324PN - Zen 4C12.380.789.5EPYC 8534PN - Zen 4C14.7129.3140.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10981 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6901 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6187 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5243 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8320 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1224364860SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 353.6425.2127.5630.6934.14MIN: 52.65 / MAX: 65.91MIN: 14.47 / MAX: 81.04MIN: 15.77 / MAX: 72.29MIN: 17.73 / MAX: 77.96MIN: 18.62 / MAX: 101.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxEPYC 7601 - Zen 165.0153.8166.6EPYC 8324P - Zen 4C11.9104.0120.7EPYC 8324P - Zen 4C, 155W13.392.6106.0EPYC 8324PN - Zen 4C12.979.088.7EPYC 8534PN - Zen 4C13.5124.7135.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 10046 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6757 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6020 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5134 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 8149 Joules per run.

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1428425670SE +/- 0.70, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 364.8019.5321.2423.6924.82
MinAvgMaxEPYC 7601 - Zen 164.8139.0177.3EPYC 8324P - Zen 4C12.181.3112.8EPYC 8324P - Zen 4C, 155W13.473.797.1EPYC 8324PN - Zen 4C12.664.682.1EPYC 8534PN - Zen 4C13.279.6118.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8343 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4226 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3831 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3357 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4911 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 1.56, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3189.3288.1594.20104.90113.45
MinAvgMaxEPYC 7601 - Zen 165.4148.0176.5EPYC 8324P - Zen 4C12.987.7109.6EPYC 8324P - Zen 4C, 155W12.778.591.9EPYC 8324PN - Zen 4C12.667.583.1EPYC 8534PN - Zen 4C13.899.4123.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 7253 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3857 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3482 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3016 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4407 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3115.7859.8762.8269.6074.43
MinAvgMaxEPYC 8534PN - Zen 4C13.5102.0122.5EPYC 8324PN - Zen 4C12.968.079.8EPYC 8324P - Zen 4C12.796.9111.4EPYC 8324P - Zen 4C, 155W13.280.299.0EPYC 7601 - Zen 166.1159.0177.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 8534PN - Zen 4C: Approximate power consumption of 4250 Joules per run.2. EPYC 8324PN - Zen 4C: Approximate power consumption of 2857 Joules per run.3. EPYC 8324P - Zen 4C: Approximate power consumption of 3974 Joules per run.4. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3315 Joules per run.5. EPYC 7601 - Zen 1: Approximate power consumption of 6943 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 7.41, N = 3SE +/- 1.08, N = 3SE +/- 1.07, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 31501.61751.62803.82892.10982.61
MinAvgMaxEPYC 7601 - Zen 164.7140.6177.4EPYC 8324P - Zen 4C12.189.9119.5EPYC 8324P - Zen 4C, 155W13.180.9105.1EPYC 8324PN - Zen 4C12.569.484.7EPYC 8534PN - Zen 4C13.386.8132.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8155 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4467 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4071 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3517 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5237 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.88, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3234.02130.42139.18154.28166.95
MinAvgMaxEPYC 7601 - Zen 164.8157.0176.8EPYC 8324P - Zen 4C13.091.9117.7EPYC 8324P - Zen 4C, 155W13.082.698.1EPYC 8324PN - Zen 4C12.370.881.0EPYC 8534PN - Zen 4C12.7106.4129.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6959 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3862 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3495 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2975 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4505 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 1.50, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3231.40129.84138.23153.40166.03
MinAvgMaxEPYC 7601 - Zen 164.4156.5176.5EPYC 8324P - Zen 4C11.491.0116.6EPYC 8324P - Zen 4C, 155W13.482.5101.3EPYC 8324PN - Zen 4C12.669.883.0EPYC 8534PN - Zen 4C13.8105.5121.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6885 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3823 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3436 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2953 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4466 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 0.89, N = 3SE +/- 1.23, N = 3SE +/- 0.47, N = 3SE +/- 0.79, N = 3SE +/- 0.09, N = 31515.68752.51801.19894.20982.33
MinAvgMaxEPYC 7601 - Zen 165.5140.7177.7EPYC 8324P - Zen 4C11.888.8121.7EPYC 8324P - Zen 4C, 155W13.280.1102.2EPYC 8324PN - Zen 4C12.569.789.0EPYC 8534PN - Zen 4C13.5101.9133.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8206 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4497 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4088 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3506 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5128 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C400800120016002000SE +/- 6.61, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 31840.95410.47443.43493.99556.15
MinAvgMaxEPYC 7601 - Zen 164.6142.0172.7EPYC 8324P - Zen 4C13.089.2114.7EPYC 8324P - Zen 4C, 155W13.181.297.7EPYC 8324PN - Zen 4C12.869.881.3EPYC 8534PN - Zen 4C13.6103.7123.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 7099 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4105 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3708 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3233 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4737 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 0.43, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3115.3559.8762.8869.5174.41

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.1244, N = 3SE +/- 0.0229, N = 3SE +/- 0.0078, N = 3SE +/- 0.0084, N = 3SE +/- 0.0062, N = 3104.44367.28167.60648.37459.2520
MinAvgMaxEPYC 7601 - Zen 164.5159.1177.2EPYC 8324P - Zen 4C12.993.1108.1EPYC 8324P - Zen 4C, 155W13.277.095.3EPYC 8324PN - Zen 4C12.466.576.5EPYC 8534PN - Zen 4C12.796.8114.2OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 7054 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3879 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3207 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2794 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4034 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C30060090012001500SE +/- 8.56, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.25, N = 31289.82611.15647.89722.10776.54
MinAvgMaxEPYC 7601 - Zen 164.8109.6177.6EPYC 8324P - Zen 4C12.171.4119.7EPYC 8324P - Zen 4C, 155W13.267.0108.3EPYC 8324PN - Zen 4C12.860.386.0EPYC 8534PN - Zen 4C13.780.1127.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 12090 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6215 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5783 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5248 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 6834 Joules per run.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.37, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3124.0941.6444.7249.8052.12
MinAvgMaxEPYC 7601 - Zen 165.2138.7176.8EPYC 8324P - Zen 4C12.881.7112.7EPYC 8324P - Zen 4C, 155W13.074.196.2EPYC 8324PN - Zen 4C12.764.980.5EPYC 8534PN - Zen 4C11.892.3120.3OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 8228 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 4141 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3754 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3290 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4648 Joules per run.

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.90, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3198.94121.49122.14123.67127.201. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxEPYC 7601 - Zen 162.299.7146.8EPYC 8324P - Zen 4C12.866.496.5EPYC 8324P - Zen 4C, 155W13.465.291.1EPYC 8324PN - Zen 4C12.661.685.7EPYC 8534PN - Zen 4C13.166.695.3OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 30599 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 11089 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10947 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 10489 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 11693 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 1.55, N = 3SE +/- 0.21, N = 3SE +/- 0.48, N = 3SE +/- 0.25, N = 3SE +/- 0.63, N = 3249.19182.78181.39182.93178.701. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxEPYC 7601 - Zen 164.179.1142.3EPYC 8324P - Zen 4C12.251.187.6EPYC 8324P - Zen 4C, 155W13.151.085.1EPYC 8324PN - Zen 4C12.149.774.3EPYC 8534PN - Zen 4C12.952.989.1OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 27253 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 12695 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 12716 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 12358 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 12829 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.84, N = 3SE +/- 0.71, N = 3SE +/- 0.67, N = 3SE +/- 0.71, N = 3SE +/- 0.52, N = 476.2052.1454.8058.5244.42
MinAvgMaxEPYC 7601 - Zen 163.8131.7179.3EPYC 8324P - Zen 4C13.078.5123.4EPYC 8324P - Zen 4C, 155W13.574.0109.8EPYC 8324PN - Zen 4C12.666.390.0EPYC 8534PN - Zen 4C13.580.7135.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 11812 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 5047 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 4930 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 4704 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4460 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C160320480640800SE +/- 0.46, N = 3SE +/- 0.84, N = 3SE +/- 0.47, N = 3SE +/- 0.77, N = 3SE +/- 0.92, N = 3752.60449.99487.58539.24341.48
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.29 / Avg: 169.3 / Max: 179.46Min: 12.98 / Avg: 110.33 / Max: 125.92Min: 13.39 / Avg: 98.23 / Max: 106.69Min: 12.44 / Avg: 84.8 / Max: 91.97Min: 13.1 / Avg: 123.12 / Max: 141.361. EPYC 7601 - Zen 1: Approximate power consumption of 130301 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 51341 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 49411 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 47036 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 43955 Joules per run.

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 0.41, N = 3SE +/- 1.36, N = 3SE +/- 1.25, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3435.25258.22274.95300.44190.99
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.93 / Avg: 161.3 / Max: 179Min: 13.28 / Avg: 104.41 / Max: 129.17Min: 13.68 / Avg: 93.74 / Max: 109.13Min: 12.69 / Avg: 80.86 / Max: 93.61Min: 14.01 / Avg: 111.72 / Max: 145.281. EPYC 7601 - Zen 1: Approximate power consumption of 74091 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 29060 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 27653 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 25931 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 23574 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550SE +/- 1.30, N = 3SE +/- 0.60, N = 3SE +/- 1.23, N = 3SE +/- 0.95, N = 3SE +/- 0.46, N = 3529.40334.29349.61371.54277.91
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.15 / Avg: 148.45 / Max: 179.02Min: 13.03 / Avg: 93.02 / Max: 129.4Min: 13.57 / Avg: 85.28 / Max: 109.95Min: 12.7 / Avg: 74.82 / Max: 93.37Min: 13.51 / Avg: 95.16 / Max: 142.961. EPYC 7601 - Zen 1: Approximate power consumption of 83327 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 33579 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 32095 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 29802 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 28928 Joules per run.

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C80160240320400SE +/- 0.67, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3389.70222.07234.23253.14174.00
MinAvgMaxEPYC 7601 - Zen 164.0156.0178.9EPYC 8324P - Zen 4C12.4100.3130.4EPYC 8324P - Zen 4C, 155W13.590.5113.3EPYC 8324PN - Zen 4C11.878.797.6EPYC 8534PN - Zen 4C13.5105.1142.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 62259 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 23180 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 21992 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 20625 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 19191 Joules per run.

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C90180270360450SE +/- 4.56, N = 3SE +/- 2.62, N = 9SE +/- 1.97, N = 3SE +/- 3.60, N = 3SE +/- 2.69, N = 4394.62263.53266.95295.06230.99
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 35.97 / Avg: 132.06 / Max: 179.19Min: 11.21 / Avg: 81.51 / Max: 124.9Min: 13.63 / Avg: 76.82 / Max: 105.31Min: 12.83 / Avg: 68.37 / Max: 89.79Min: 13.09 / Avg: 80.38 / Max: 136.21. EPYC 7601 - Zen 1: Approximate power consumption of 52911 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 21943 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 20972 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 20580 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 19049 Joules per run.

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 339.8924.4925.6827.5719.38
MinAvgMaxEPYC 7601 - Zen 163.7132.0179.3EPYC 8324P - Zen 4C12.876.7126.7EPYC 8324P - Zen 4C, 155W13.372.3109.6EPYC 8324PN - Zen 4C12.565.194.8EPYC 8534PN - Zen 4C13.076.2137.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6335 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2454 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2411 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2300 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2082 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150122.2673.5175.2582.1558.611. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxEPYC 7601 - Zen 164.4164.4173.9EPYC 8324P - Zen 4C13.1115.1127.9EPYC 8324P - Zen 4C, 155W13.797.0104.6EPYC 8324PN - Zen 4C12.181.888.1EPYC 8534PN - Zen 4C13.495.5133.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250229.49153.15163.04172.69184.161. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C300600900120015001164.39763.50779.51793.87687.421. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 64.99 / Avg: 159.89 / Max: 174.86Min: 13.19 / Avg: 117.54 / Max: 128.59Min: 13.59 / Avg: 107.92 / Max: 112.72Min: 12.19 / Avg: 96.64 / Max: 101.21Min: 13.78 / Avg: 134.22 / Max: 139.03

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C110220330440550SE +/- 0.95, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.66, N = 3SE +/- 0.58, N = 3498.23381.88382.57391.36300.62
OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.7 / Avg: 156.73 / Max: 172.24Min: 13.01 / Avg: 109.58 / Max: 120.31Min: 13.94 / Avg: 107.2 / Max: 114.81Min: 12.91 / Avg: 93.26 / Max: 99.2Min: 14.94 / Avg: 125.66 / Max: 137.921. EPYC 7601 - Zen 1: Approximate power consumption of 85943 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 45842 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 44916 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 39914 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 42391 Joules per run.

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.85, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.50, N = 3152.3442.0942.0042.2639.331. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxEPYC 7601 - Zen 165.8131.1148.5EPYC 8324P - Zen 4C12.179.390.5EPYC 8324P - Zen 4C, 155W13.778.790.5EPYC 8324PN - Zen 4C12.473.083.8EPYC 8534PN - Zen 4C13.385.8104.1OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor40801201602001. EPYC 7601 - Zen 1: Approximate power consumption of 20887 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 3808 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 3778 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 3528 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 3919 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C80160240320400SE +/- 4.58, N = 9SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 0.25, N = 3SE +/- 0.94, N = 3357.69115.29115.25116.03109.831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 63.95 / Avg: 131.58 / Max: 149.13Min: 12.7 / Avg: 83.41 / Max: 90.65Min: 13.63 / Avg: 83.31 / Max: 90.62Min: 11.53 / Avg: 77.93 / Max: 83.94Min: 13.47 / Avg: 93.86 / Max: 103.61. EPYC 7601 - Zen 1: Approximate power consumption of 48028 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 10176 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 10191 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 9585 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 10950 Joules per run.

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150SE +/- 1.20, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3144.0180.9284.3890.0765.471. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxEPYC 7601 - Zen 166.2166.8178.9EPYC 8324P - Zen 4C12.8119.9137.5EPYC 8324P - Zen 4C, 155W13.6103.8117.3EPYC 8324PN - Zen 4C12.687.698.5EPYC 8534PN - Zen 4C13.0133.5153.7OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 24905 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 10310 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 9272 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 8355 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 9479 Joules per run.

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3106.2756.9157.0457.5257.421. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxEPYC 7601 - Zen 166.3146.4160.4EPYC 8324P - Zen 4C13.099.2108.3EPYC 8324P - Zen 4C, 155W13.798.3107.3EPYC 8324PN - Zen 4C12.691.099.0EPYC 8534PN - Zen 4C13.5115.8126.2OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 16396 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6217 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6162 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5736 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 7335 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 3.58, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3954.73489.47489.04492.50496.551. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.7 / Avg: 148.58 / Max: 160.53Min: 13.29 / Avg: 107.42 / Max: 111.27Min: 13.89 / Avg: 107.71 / Max: 111.6Min: 12.95 / Avg: 99.07 / Max: 101.75Min: 14.26 / Avg: 127.08 / Max: 131.511. EPYC 7601 - Zen 1: Approximate power consumption of 141842 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 52853 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 52957 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 49039 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 63412 Joules per run.

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C918273645SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 337.9923.9123.7724.3520.981. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxEPYC 7601 - Zen 165.4144.5159.8EPYC 8324P - Zen 4C13.392.5109.1EPYC 8324P - Zen 4C, 155W13.994.2111.7EPYC 8324PN - Zen 4C13.184.899.1EPYC 8534PN - Zen 4C13.7109.4133.8OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6214 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 2684 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 2701 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 2517 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 2880 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C2004006008001000SE +/- 15.13, N = 9SE +/- 0.69, N = 3SE +/- 0.57, N = 3SE +/- 0.29, N = 3SE +/- 0.84, N = 31092.51608.23612.20628.84563.351. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.72 / Avg: 150.35 / Max: 171.92Min: 12.9 / Avg: 104.53 / Max: 115.04Min: 13.85 / Avg: 102.88 / Max: 107.73Min: 12.94 / Avg: 93.37 / Max: 98.13Min: 14.11 / Avg: 126.57 / Max: 133.411. EPYC 7601 - Zen 1: Approximate power consumption of 164864 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 64531 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 63923 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 59726 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 72400 Joules per run.

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C48121620SE +/- 0.140, N = 7SE +/- 0.003, N = 5SE +/- 0.010, N = 5SE +/- 0.006, N = 5SE +/- 0.005, N = 515.5155.7476.1926.6535.207
MinAvgMaxEPYC 7601 - Zen 165.5138.2179.0EPYC 8324P - Zen 4C12.571.5129.1EPYC 8324P - Zen 4C, 155W13.666.7111.1EPYC 8324PN - Zen 4C12.060.299.8EPYC 8534PN - Zen 4C13.971.4138.3OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 3060 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 901 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 867 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 819 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 914 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C816243240SE +/- 0.10, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 433.9111.9312.8913.9710.44
MinAvgMaxEPYC 7601 - Zen 165.7150.4179.3EPYC 8324P - Zen 4C12.985.6133.1EPYC 8324P - Zen 4C, 155W13.577.5114.5EPYC 8324PN - Zen 4C12.269.498.8EPYC 8534PN - Zen 4C13.488.5143.6OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 6315 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 1755 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 1680 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 1574 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 1726 Joules per run.

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C1632486480SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 372.4347.5052.0258.2030.57
MinAvgMaxEPYC 7601 - Zen 165.7169.3178.5EPYC 8324P - Zen 4C13.0104.0116.7EPYC 8324P - Zen 4C, 155W13.995.1107.1EPYC 8324PN - Zen 4C12.980.091.2EPYC 8534PN - Zen 4C14.5114.5132.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 13036 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 5406 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 5389 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 5013 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 4083 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C4080120160200SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3191.71119.58130.67146.9076.32
MinAvgMaxEPYC 7601 - Zen 165.7174.0178.2EPYC 8324P - Zen 4C13.3109.7119.9EPYC 8324P - Zen 4C, 155W13.799.4106.9EPYC 8324PN - Zen 4C12.583.191.5EPYC 8534PN - Zen 4C14.2124.3133.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 34167 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 13637 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 13423 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 12610 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 10023 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C20406080100SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3101.1059.6465.0372.9638.66
MinAvgMaxEPYC 7601 - Zen 165.7170.3178.6EPYC 8324P - Zen 4C12.7108.0124.1EPYC 8324P - Zen 4C, 155W14.096.7106.3EPYC 8324PN - Zen 4C12.882.793.6EPYC 8534PN - Zen 4C14.4119.8137.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 18055 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 6981 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 6772 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 6447 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 5231 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C50100150200250SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3246.71148.76161.95182.4795.44
MinAvgMaxEPYC 7601 - Zen 165.4174.7178.7EPYC 8324P - Zen 4C12.7113.1126.5EPYC 8324P - Zen 4C, 155W13.9100.5107.9EPYC 8324PN - Zen 4C12.985.489.4EPYC 8534PN - Zen 4C14.1127.8135.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor501001502002501. EPYC 7601 - Zen 1: Approximate power consumption of 43861 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 17301 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 16714 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 15974 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 12818 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C160320480640800SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.08, N = 3765.20426.62463.27518.21267.58
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorEPYC 7601 - Zen 1EPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 8324PN - Zen 4CEPYC 8534PN - Zen 4C306090120150Min: 65.59 / Avg: 175.31 / Max: 178.65Min: 13.45 / Avg: 115.42 / Max: 124.09Min: 14.03 / Avg: 103.77 / Max: 110.45Min: 13.02 / Avg: 86.74 / Max: 90.93Min: 14 / Avg: 135.09 / Max: 140.791. EPYC 7601 - Zen 1: Approximate power consumption of 135340 Joules per run.2. EPYC 8324P - Zen 4C: Approximate power consumption of 49976 Joules per run.3. EPYC 8324P - Zen 4C, 155W: Approximate power consumption of 48774 Joules per run.4. EPYC 8324PN - Zen 4C: Approximate power consumption of 45536 Joules per run.5. EPYC 8534PN - Zen 4C: Approximate power consumption of 37060 Joules per run.

182 Results Shown

CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU - 1 - ResNet-50
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 256 - ResNet-50
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
OpenSSL:
  SHA256
  SHA512
  AES-256-GCM
OpenSSL:
  SHA256
  SHA512
  AES-128-GCM
  AES-256-GCM
OpenSSL
OpenSSL
OpenSSL
OpenSSL
Quicksilver:
  CORAL2 P1
  CTS2
FFmpeg
FFmpeg:
  libx265 - Live
  libx265 - Upload
FFmpeg
FFmpeg
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
FFmpeg
Embree
uvg266:
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
Embree:
  Pathtracer ISPC - Crown
  Preset 12 - Bosphorus 4K
SVT-AV1
SVT-AV1
SVT-AV1
SVT-AV1
SVT-AV1
rav1e:
  10
  6
rav1e:
  10
  6
x265
uvg266
VVenC
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Crown
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
ACES DGEMM
ACES DGEMM
Xmrig
Xmrig:
  Monero - 1M
  Wownero - 1M
  CryptoNight-Femto UPX2 - 1M
  CryptoNight-Heavy - 1M
Xmrig:
  Monero - 1M
  Wownero - 1M
  CryptoNight-Femto UPX2 - 1M
  CryptoNight-Heavy - 1M
  KawPow - 1M
Intel Open Image Denoise
Intel Open Image Denoise
TensorFlow
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  particle_volume/ao/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream
  ResNet-50, Baseline - Asynchronous Multi-Stream
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
IndigoBench
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
QuantLib
7-Zip Compression
7-Zip Compression:
  Compression Rating
  Decompression Rating
LAMMPS Molecular Dynamics Simulator
Apache Cassandra
Speedb
Speedb:
  Read While Writing
  Read Rand Write Rand
  Update Rand
  Rand Read
Speedb:
  Read While Writing
  Read Rand Write Rand
  Update Rand
RocksDB:
  Rand Read
  Read While Writing
Redis 7.0.12 + memtier_benchmark:
  Redis - 100 - 1:10
  Redis - 100 - 1:5
Redis 7.0.12 + memtier_benchmark:
  Redis - 100 - 1:10
  Redis - 100 - 1:5
Apache IoTDB
nginx
nginx:
  500
  1000
OpenSSL
Kripke
Llama.cpp
Llama.cpp
Llama.cpp:
  llama-2-70b-chat.Q5_0.gguf
  llama-2-7b.Q4_0.gguf
OpenSSL
OpenSSL
Chaos Group V-RAY
Apache IoTDB
NAMD
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream
  ResNet-50, Baseline - Asynchronous Multi-Stream
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
DuckDB:
  IMDB
  TPC-H Parquet
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Node.js Compilation
Timed Gem5 Compilation
Timed FFmpeg Compilation
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400
GPAW
CloverLeaf:
  clover_bm64_short
  clover_bm16
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
Y-Cruncher:
  500M
  1B
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only

EPYC 7601 - Zen 1

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD, Disk: 1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 13 January 2024 15:35 by user phoronix.

EPYC 8324P - Zen 4C

Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 12 January 2024 00:50 by user phoronix.

EPYC 8324P - Zen 4C, 155W

Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 12 January 2024 19:57 by user phoronix.

EPYC 8324PN - Zen 4C

Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 10 January 2024 14:58 by user phoronix.

EPYC 8534PN - Zen 4C

Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 9 January 2024 15:21 by user phoronix.