AMD EPYC Zen

Benchmarks for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401092-NE-AMDEPYCZE04
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Zen 1 - EPYC 7601
January 06
  1 Day, 1 Hour, 51 Minutes
Zen 4C - EPYC 8534PN
January 08
  16 Hours, 31 Minutes
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  21 Hours, 11 Minutes
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Zen 1 - EPYC 7601

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, 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

Zen 4C - EPYC 8534PN

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: 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, 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

AMD EPYC ZenProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionZen 1 - EPYC 7601Zen 4C - EPYC 8534PNAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h128GB280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8llvmpipeVE2282 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 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a46 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG1000GB INTEL SSDPE2KX010T8ASPEED1920x1200OpenBenchmarking.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- Zen 1 - EPYC 7601: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e- Zen 4C - EPYC 8534PN: 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- Zen 1 - EPYC 7601: 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 - Zen 4C - EPYC 8534PN: 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

Zen 1 - EPYC 7601 vs. Zen 4C - EPYC 8534PN ComparisonPhoronix Test SuiteBaseline+588.7%+588.7%+1177.4%+1177.4%+1766.1%+1766.1%881.3%726.8%726.8%720.4%720.4%649.8%607.4%589%588.6%581.4%570.9%553.6%550.2%521.7%505.5%473.6%459%455.2%452.1%440.9%428.6%412.3%411.9%396.6%373.5%357.7%356.8%331.9%326.9%314.7%308.9%305%303.3%283.3%281.1%280.8%280.8%269.8%256.9%255.5%253.5%251.4%250.6%243.6%241.8%241.6%239.6%235%231.5%226.5%225.3%223.3%221.1%219.2%215.9%213.6%212.6%207.8%202.5%202.1%201.9%2354.6%198.7%197.5%195.1%194.1%190.1%189.1%188.9%186.1%185.8%185.6%183.9%179.9%177.6%175.9%169.7%165.7%164.6%164.2%160.6%156%154.8%153.9%150.2%150.1%147.8%145.4%141.2%136.1%134.7%131.3%127.6%125.5%123.5%123.3%123.3%123.1%120.3%118%110.7%105.7%105.2%102.8%1300.8%1298%1128.6%907.5%97.4%95.4%90.8%89.7%89.3%87.5%82.9%79.5%79.2%78.7%78.1%78%78%77.6%77.2%77.2%76.9%75.9%74.6%73.9%73.9%73.5%72.4%70.7%70.4%69.8%68.9%68.8%67.7%67.5%66.3%65.7%65.5%64.5%64.1%63.7%63.3%62.8%61.8%61.1%61%60.7%59.2%59.1%58.4%57%56.4%53.7%51.5%47.8%47.5%47.5%45.5%45.2%45.1%43.6%42.8%38.8%38.3%37.7%32.8%32%30.1%28.2%27.7%25%24.8%24.2%23.9%17.8%7.7%V.D.F.I - CPUOpenMP - BM2OpenMP - BM2OpenMP - BM1OpenMP - BM1M.T.E.T.D.F - CPUW.P.D.F.I - CPUChaCha20-Poly1305C.S.9.P.Y.P - A.M.Sgravity_spheres_volume/dim_512/scivis/real_timegravity_spheres_volume/dim_512/ao/real_timeR.S.A.F.I - CPUH.E.R.F.I - CPUChaCha20S.F.P.RA.G.R.R.0.F.I - CPURSA4096N.T.C.B.b.u.S.S.I - A.M.SP.V.B.D.F - CPUAES-128-GCMB.L.N.Q.A.S.I - A.M.SAES-256-GCMCPU - 16 - ResNet-50P.D.F - CPUgravity_spheres_volume/dim_512/pathtracer/real_time3 - 4K - 1 - Path Tracer - CPU1 - 4K - 1 - Path Tracer - CPU3 - 4K - 32 - Path Tracer - CPU1 - 4K - 32 - Path Tracer - CPU3 - 4K - 16 - Path Tracer - CPUGhostRider - 1MA.G.R.R.0.F.I - CPU1 - 4K - 16 - Path Tracer - CPURT.ldr_alb_nrm.3840x2160 - CPU-OnlyPathtracer ISPC - Asian DragonWownero - 1Me.G.B.S - 1200Pathtracer ISPC - CrownRand ReadN.T.C.D.m - A.M.SB.L.N.Q.A - A.M.SF.D.F.I - CPURand ReadC.S.9.P.Y.P - A.M.SN.T.C.B.b.u.c - A.M.SN.D.C.o.b.u.o.I - A.M.SR.5.B - A.M.SC.C.R.5.I - A.M.S1Bparticle_volume/scivis/real_timeH.E.R.F.I - CPUparticle_volume/ao/real_timee.G.B.S - 2400Barbershop - CPU-OnlySHA512C.D.Y.C.S.I - A.M.SC.D.Y.C - A.M.S500MRSA4096D.RCPUR.5.S.I - A.M.SKawPow - 1MC.F.U - 1MSHA256Monero - 1MCryptoNight-Heavy - 1MPreset 13 - Bosphorus 4KCompression RatingFishy Cat - CPU-OnlyCPU - SupercarPabellon Barcelona - CPU-OnlyClassroom - CPU-OnlyCPU - BedroomN.T.C.B.b.u.S.S.I - A.M.SPreset 12 - Bosphorus 4KBMW27 - CPU-OnlyMulti-Threaded1000B.L.N.Q.A.S.I - A.M.SRedis - 100 - 1:10Preset 8 - Bosphorus 4K500Redis - 100 - 1:5NinjaATPase Simulation - 327,506 AtomsV.D.F.I - CPUallmodconfigTime To CompileBosphorus 4K - Very FastBosphorus 4K - Super Fastd.S.M.S - Execution TimeBosphorus 4K - MediumCarbon Nanotube20k Atomslibx265 - Platformlibx265 - Video On Demandlibx265 - UploadTime To CompilePreset 4 - Bosphorus 4KRead While WritingBosphorus 4K - Ultra FastRead While WritingUnix MakefilesF.D.F.I - CPUW.P.D.F.I - CPUR.5.S.I - A.M.SF.D.R.F.I - CPUlibx265 - Liveclover_bm16Bosphorus 4K - FastBosphorus 4Kclover_bm64_shortM.T.E.T.D.F - CPUdefconfigR.R.W.Ri.i.1.C.P.DTime To CompileBosphorus 4K - FasterN.T.C.D.m - A.M.SB.L.N.Q.A - A.M.S500 - 100 - 800 - 100500 - 100 - 800 - 10010Update RandR.R.W.R800 - 100 - 500 - 100500 - 100 - 800 - 400800 - 100 - 500 - 100d.M.M.S - Execution TimeCPU - 256 - ResNet-50N.D.C.o.b.u.o.I - A.M.SN.T.C.B.b.u.c - A.M.SR.5.B - A.M.SCPU - 1 - ResNet-50particle_volume/pathtracer/real_timeChrysler Neon 1MC.C.R.5.I - A.M.SUpdate Rand500 - 100 - 800 - 4006WritesCORAL2 P1R.S.A.F.I - CPU500 - 100 - 500 - 400800 - 100 - 500 - 400800 - 100 - 500 - 400500 - 100 - 500 - 100500 - 100 - 500 - 1005IMDBP.P.AC.D.Y.C.S.I - A.M.SC.D.Y.C - A.M.S500 - 100 - 500 - 40011000800 - 100 - 200 - 100800 - 100 - 200 - 400X.b.i.id.M.M.S - Mesh Time800 - 100 - 200 - 100d.S.M.S - Mesh TimeCTS2P.V.B.D.F - CPU800 - 100 - 200 - 400TPC-H Parquet500 - 100 - 200 - 100500 - 100 - 200 - 400500 - 100 - 200 - 100F.D.R.F.I - CPU800 - 100 - 800 - 100800 - 100 - 800 - 100500 - 100 - 200 - 400P.D.F - CPU800 - 100 - 800 - 400800 - 100 - 800 - 400CORAL2 P2OpenVINOminiBUDEminiBUDEminiBUDEminiBUDEOpenVINOOpenVINOOpenSSLNeural Magic DeepSparseOSPRayOSPRayOpenVINOOpenVINOOpenSSLACES DGEMMOpenVINOOpenSSLNeural Magic DeepSparseOpenVINOOpenSSLNeural Magic DeepSparseOpenSSLTensorFlowOpenVINOOSPRayOSPRay StudioOSPRay StudioOSPRay StudioOSPRay StudioOSPRay StudioXmrigOpenVINOOSPRay StudioIntel Open Image DenoiseEmbreeXmrigeasyWaveEmbreeRocksDBNeural Magic DeepSparseNeural Magic DeepSparseOpenVINOSpeedbNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseY-CruncherOSPRayOpenVINOOSPRayeasyWaveBlenderOpenSSLNeural Magic DeepSparseNeural Magic DeepSparseY-CruncherOpenSSL7-Zip CompressionChaos Group V-RAYNeural Magic DeepSparseXmrigXmrigOpenSSLXmrigXmrigSVT-AV17-Zip CompressionBlenderIndigoBenchBlenderBlenderIndigoBenchNeural Magic DeepSparseSVT-AV1BlenderQuantLibnginxNeural Magic DeepSparseRedis 7.0.12 + memtier_benchmarkSVT-AV1nginxRedis 7.0.12 + memtier_benchmarkTimed LLVM CompilationNAMDOpenVINOTimed Linux Kernel CompilationTimed Node.js Compilationuvg266uvg266OpenFOAMuvg266GPAWLAMMPS Molecular Dynamics SimulatorFFmpegFFmpegFFmpegTimed FFmpeg CompilationSVT-AV1Speedbuvg266RocksDBTimed LLVM CompilationOpenVINOOpenVINONeural Magic DeepSparseOpenVINOFFmpegCloverLeafVVenCx265CloverLeafOpenVINOTimed Linux Kernel CompilationSpeedbXcompact3d Incompact3dTimed Gem5 CompilationVVenCNeural Magic DeepSparseNeural Magic DeepSparseApache IoTDBApache IoTDBrav1eSpeedbRocksDBApache IoTDBApache IoTDBApache IoTDBOpenFOAMPyTorchNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparsePyTorchOSPRayOpenRadiossNeural Magic DeepSparseRocksDBApache IoTDBrav1eApache CassandraQuicksilverOpenVINOApache IoTDBApache IoTDBKripkeApache IoTDBApache IoTDBApache IoTDBrav1eDuckDBTimed MrBayes AnalysisNeural Magic DeepSparseNeural Magic DeepSparseApache IoTDBrav1eApache HTTP ServerApache IoTDBApache IoTDBXcompact3d Incompact3dOpenFOAMApache IoTDBOpenFOAMQuicksilverOpenVINOApache IoTDBDuckDBApache IoTDBApache IoTDBApache IoTDBOpenVINOApache IoTDBApache IoTDBApache IoTDBOpenVINOApache IoTDBApache IoTDBQuicksilverZen 1 - EPYC 7601Zen 4C - EPYC 8534PN

AMD EPYC Zennginx: 500nginx: 1000openssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305apache: 1000apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400duckdb: IMDBduckdb: TPC-H Parquetcassandra: Writesspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randmemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5compress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-ffmpeg: Time To Compilequantlib: Multi-Threadedspecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400gpaw: Carbon Nanotubelammps: 20k Atomscloverleaf: clover_bm64_shortcloverleaf: clover_bm16kripke: incompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnamd: ATPase Simulation - 327,506 Atomsgromacs: MPI CPU - water_GMX50_barequicksilver: CORAL2 P1quicksilver: CORAL2 P2quicksilver: CTS2y-cruncher: 500My-cruncher: 1Bmt-dgemm: Sustained Floating-Point Ratemrbayes: Primate Phylogeny Analysisblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timev-ray: CPUindigobench: CPU - Supercarindigobench: CPU - Bedroomffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Krav1e: 10rav1e: 6rav1e: 5rav1e: 1x265: Bosphorus 4Kuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasteropenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamtensorflow: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50xmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN103269.83100664.354510.7293924.12705683040083161841709764500948789948428697479200259673031549069088038.283871226346.2938176456166.005375994085.0752849125294.7558774090127.2659444334421.304604958939.4045921074147.895699381182.0757037441318.2458403756129.7760237625488.64199.014245.742152887868670416145679143607420155584798204337187615091842906181183656.971142464.1612393413441776.300755.017435.054529.717387.652388.02339.78964481.778.67990438474.95062589638.06317925029.95188620330.28359304044.44531126.1908231.744461179.2541499.30356.12214.245355.50114.220148.077352.687142.16513.872108.60971.5018737593337.4064191818.0541180.979591.99212996667150133331142666715.69333.9233.790799201.18273.00192.80101.20247.24767.1521.831518.36130.488478145528280606100501711883316432.578292.466924.148415.289315.2211698.4413201758.5803.99158.2310.3921.0321.0467.93470.52526.2523.0606.9712.9372.2490.56314.528.7322.2723.4427.213.2916.4933.822094.2113011.102.4343.91181.92377.4084.68295.8027.01471.3816.9541.32193.33877.499.1189.05169.04149.4953.47260.249661.393490.6624176.4317144.6829110.448410.75451457.915570.3395226.951870.5586226.374410.80701460.70419.29921701.3747142.7964111.8988155.7019102.658213.25971200.1003131.7605121.20939.8226.7221.217044.210414.76957.27081.06937.91070.1263177.49266322.5525217.0889214.27985740178326271960547528178897353460814853190297915350493208877254247130116.685139669835.5850396884133.018653027252.9586278348191.7710417322071.67103397638254.316793722627.1667712944106.919953170947.1991869780195.4973031288101.6070984166394.51125.100178.435251434304542944129475072577564356602302674440691826726542864833873084431.372901182.2335809340602141.709307.653173.868261.161160.725217.12618.061171336.630.95124754.559168159.57429679.78992297.722921.653116.8662939.356117.57438.884109.84763.04531.00757.38497.0930310720020.8747749562.3598840.391752132666716176667163166675.09910.23322.953315126.96927.0767.9135.3786.57240.3583.197567.90331.84185636085657252196412787678517.298616.808919.643417.099317.0484166.1526091124.52211.172114.9523.1846.9646.98196.423194.54767.2096.67212.3554.8613.5810.85327.5419.8752.5955.0155.986.28011.56453.51595.9274625.610.60218.07146.535276.1111.972902.5710.902602.2712.21309.82103.128840.417.101229.1651.96977.0732.671444.906722.1179322.281399.1066484.732665.930536.7555855.7340219.9119145.1134221.3018144.144736.9206855.930464.0361495.1442484.869765.91393821.92418.356046.8734674.2608696.514645.881850.2745.1336.5620716.539663.320699.520541.820720.84376.0OpenBenchmarking.org

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Zen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KSE +/- 1464.33, N = 3SE +/- 450.48, N = 3263177.49103269.831. (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: 500Zen 4C - EPYC 8534PNZen 1 - EPYC 7601300600900120015001570.36153.16
MinAvgMaxZen 4C - EPYC 8534PN12168180Zen 1 - EPYC 7601240674714OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 16256 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 65178 Joules per run.
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Zen 4C - EPYC 8534PNZen 1 - EPYC 760150K100K150K200K250KMin: 260481.48 / Avg: 263177.49 / Max: 265516.19Min: 102408.84 / Avg: 103269.83 / Max: 103930.141. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KSE +/- 312.48, N = 3SE +/- 212.46, N = 3266322.55100664.351. (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: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 7601300600900120015001587.79148.96
MinAvgMaxZen 4C - EPYC 8534PN14168180Zen 1 - EPYC 7601258676713OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 16270 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 65552 Joules per run.
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 760150K100K150K200K250KMin: 265897.05 / Avg: 266322.55 / Max: 266931.71Min: 100353.21 / Avg: 100664.35 / Max: 101070.551. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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: RSA4096Zen 4C - EPYC 8534PNZen 1 - EPYC 76015K10K15K20K25KSE +/- 24.99, N = 3SE +/- 8.66, N = 325217.04510.71. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KMin: 25189.5 / Avg: 25217 / Max: 25266.9Min: 4495.7 / Avg: 4510.7 / Max: 4525.71. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 4C - EPYC 8534PNZen 1 - EPYC 7601200K400K600K800K1000KSE +/- 395.01, N = 3SE +/- 361.69, N = 3889214.2293924.11. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 4C - EPYC 8534PNZen 1 - EPYC 7601130026003900520065005928.92432.83
MinAvgMaxZen 4C - EPYC 8534PN15150171Zen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9599 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43688 Joules per run.
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 4C - EPYC 8534PNZen 1 - EPYC 7601150K300K450K600K750KMin: 888702.3 / Avg: 889214.23 / Max: 889991.3Min: 293269.4 / Avg: 293924.07 / Max: 294517.91. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 4C - EPYC 8534PNZen 1 - EPYC 760120000M40000M60000M80000M100000MSE +/- 59376757.34, N = 3SE +/- 48383276.04, N = 379857401783270568304001. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 4C - EPYC 8534PNZen 1 - EPYC 7601100M200M300M400M500M476985790.7638850033.87
MinAvgMaxZen 4C - EPYC 8534PN14167179Zen 1 - EPYC 7601261696713OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 30805 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 127913 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 4C - EPYC 8534PNZen 1 - EPYC 760114000M28000M42000M56000M70000MMin: 79771218960 / Avg: 79857401783.33 / Max: 79971247620Min: 26963781120 / Avg: 27056830400 / Max: 271263593401. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 4C - EPYC 8534PNZen 1 - EPYC 76016000M12000M18000M24000M30000MSE +/- 5378103.90, N = 3SE +/- 6971539.66, N = 32627196054783161841701. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 4C - EPYC 8534PNZen 1 - EPYC 760130M60M90M120M150M154779847.6811909195.29
MinAvgMaxZen 4C - EPYC 8534PN14170178Zen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 31175 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 128487 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 4C - EPYC 8534PNZen 1 - EPYC 76015000M10000M15000M20000M25000MMin: 26261392610 / Avg: 26271960546.67 / Max: 26278979750Min: 8303805050 / Avg: 8316184170 / Max: 83279302701. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 7601110000M220000M330000M440000M550000MSE +/- 261674063.26, N = 3SE +/- 101833027.65, N = 3528178897353976450094871. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 7601700M1400M2100M2800M3500M3235378886.06139836719.65
MinAvgMaxZen 4C - EPYC 8534PN14163170Zen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 29929 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 128251 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 760190000M180000M270000M360000M450000MMin: 527775885180 / Avg: 528178897353.33 / Max: 528669550180Min: 97442024930 / Avg: 97645009486.67 / Max: 977609187301. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 7601100000M200000M300000M400000M500000MSE +/- 158535708.73, N = 3SE +/- 95870018.66, N = 3460814853190899484286971. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 7601600M1200M1800M2400M3000M2821056038.23128846358.68
MinAvgMaxZen 4C - EPYC 8534PN14163170Zen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 30056 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 128219 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 4C - EPYC 8534PNZen 1 - EPYC 760180000M160000M240000M320000M400000MMin: 460625600240 / Avg: 460814853190 / Max: 461129793540Min: 89772640940 / Avg: 89948428696.67 / Max: 901026338101. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 4C - EPYC 8534PNZen 1 - EPYC 760160000M120000M180000M240000M300000MSE +/- 69144081.68, N = 3SE +/- 23640894.78, N = 3297915350493479200259671. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 4C - EPYC 8534PNZen 1 - EPYC 7601400M800M1200M1600M2000M1780848824.5069962511.27
MinAvgMaxZen 4C - EPYC 8534PN13167179Zen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 30670 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 125800 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 4C - EPYC 8534PNZen 1 - EPYC 760150000M100000M150000M200000M250000MMin: 297777076910 / Avg: 297915350493.33 / Max: 297986226310Min: 47877229230 / Avg: 47920025966.67 / Max: 479588313801. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 4C - EPYC 8534PNZen 1 - EPYC 760140000M80000M120000M160000M200000MSE +/- 493572176.62, N = 3SE +/- 12075597.72, N = 3208877254247303154906901. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 4C - EPYC 8534PNZen 1 - EPYC 7601300M600M900M1200M1500M1253276194.4744247682.05
MinAvgMaxZen 4C - EPYC 8534PN14167178Zen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 30666 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 125836 Joules per run.
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 4C - EPYC 8534PNZen 1 - EPYC 760140000M80000M120000M160000M200000MMin: 207890245220 / Avg: 208877254246.67 / Max: 209384913850Min: 30295781100 / Avg: 30315490690 / Max: 303374330501. (CC) gcc options: -pthread -m64 -O3 -ldl

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150KSE +/- 1806.36, N = 3SE +/- 319.15, N = 3130116.6888038.281. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000921.15132.65
MinAvgMaxZen 4C - EPYC 8534PN14141157Zen 1 - EPYC 7601263664709OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 13702 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 64155 Joules per run.
OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 4C - EPYC 8534PNZen 1 - EPYC 760120K40K60K80K100KMin: 127367.42 / Avg: 130116.68 / Max: 133521.08Min: 87407.17 / Avg: 88038.28 / Max: 88436.531. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760111M22M33M44M55MSE +/- 567305.29, N = 3SE +/- 524500.20, N = 35139669838712263
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 76019M18M27M36M45MMin: 50299720.52 / Avg: 51396697.65 / Max: 52196157.81Min: 37895592.94 / Avg: 38712262.71 / Max: 39690763.57

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050SE +/- 0.57, N = 3SE +/- 0.62, N = 335.5846.29MAX: 12564.03MAX: 12751.47
MinAvgMaxZen 4C - EPYC 8534PN1543143Zen 1 - EPYC 7601259383699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4192 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 46569 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 7601918273645Min: 34.61 / Avg: 35.58 / Max: 36.58Min: 45.13 / Avg: 46.29 / Max: 47.26

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760111M22M33M44M55MSE +/- 524236.55, N = 3SE +/- 325879.11, N = 85039688438176456
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 76019M18M27M36M45MMin: 49445484.42 / Avg: 50396884.23 / Max: 51254160.72Min: 36382512.95 / Avg: 38176456.25 / Max: 39343597.25

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 1.34, N = 3SE +/- 1.86, N = 8133.01166.00MAX: 27113.93MAX: 27445.2
MinAvgMaxZen 4C - EPYC 8534PN1342145Zen 1 - EPYC 7601259390699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4416 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 39570 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 130.83 / Avg: 133.01 / Max: 135.44Min: 159.47 / Avg: 166 / Max: 177.42

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 262330.46, N = 3SE +/- 175336.13, N = 38653027253759940
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760115M30M45M60M75MMin: 86114901.31 / Avg: 86530271.74 / Max: 87015540.02Min: 53410111.33 / Avg: 53759939.98 / Max: 53955907.01

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.43, N = 3SE +/- 0.50, N = 352.9585.07MAX: 10080.74MAX: 11426.59
MinAvgMaxZen 4C - EPYC 8534PN958146Zen 1 - EPYC 7601251458697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 7282 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 79308 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 76011632486480Min: 52.42 / Avg: 52.95 / Max: 53.79Min: 84.48 / Avg: 85.07 / Max: 86.06

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 286751.08, N = 3SE +/- 507374.51, N = 38627834852849125
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760115M30M45M60M75MMin: 85902017.24 / Avg: 86278348.23 / Max: 86841293.38Min: 51842885.53 / Avg: 52849125.44 / Max: 53465812.98

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300SE +/- 0.93, N = 3SE +/- 3.57, N = 3191.77294.75MAX: 26841.55MAX: 29204.63
MinAvgMaxZen 4C - EPYC 8534PN1359143Zen 1 - EPYC 7601253452694OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 7574 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 84459 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250Min: 190.16 / Avg: 191.77 / Max: 193.37Min: 288.89 / Avg: 294.75 / Max: 301.22

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 102156.43, N = 3SE +/- 85534.45, N = 310417322058774090
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MMin: 104043034.34 / Avg: 104173220.24 / Max: 104374682.28Min: 58686953.65 / Avg: 58774090.2 / Max: 58945149.04

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.06, N = 3SE +/- 0.22, N = 371.67127.26MAX: 10076.95MAX: 10220.3
MinAvgMaxZen 4C - EPYC 8534PN1370149Zen 1 - EPYC 7601252497735OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10520 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 116213 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 71.56 / Avg: 71.67 / Max: 71.73Min: 126.93 / Avg: 127.26 / Max: 127.68

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 417895.46, N = 3SE +/- 470631.65, N = 310339763859444334
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MMin: 102610751.02 / Avg: 103397638.46 / Max: 104035041.11Min: 58928279.39 / Avg: 59444333.92 / Max: 60384085.64

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450SE +/- 2.13, N = 3SE +/- 5.76, N = 3254.31421.30MAX: 27111.61MAX: 27834.33
MinAvgMaxZen 4C - EPYC 8534PN1371151Zen 1 - EPYC 7601253496697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 11105 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 117540 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350Min: 250.63 / Avg: 254.31 / Max: 258Min: 409.94 / Avg: 421.3 / Max: 428.6

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760115M30M45M60M75MSE +/- 89839.93, N = 3SE +/- 405601.66, N = 36793722646049589
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760112M24M36M48M60MMin: 67791889.6 / Avg: 67937225.78 / Max: 68101390.77Min: 45239125.92 / Avg: 46049588.87 / Max: 46484828.34

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 7601918273645SE +/- 0.16, N = 3SE +/- 0.33, N = 327.1639.40MAX: 23871.38MAX: 23930.49
MinAvgMaxZen 4C - EPYC 8534PN1347145Zen 1 - EPYC 7601252418700OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5285 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 59947 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 26.84 / Avg: 27.16 / Max: 27.38Min: 39.02 / Avg: 39.4 / Max: 40.05

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760115M30M45M60M75MSE +/- 292969.25, N = 3SE +/- 330018.02, N = 36771294445921074
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760112M24M36M48M60MMin: 67136991.03 / Avg: 67712944.15 / Max: 68094202.22Min: 45262386.21 / Avg: 45921074.45 / Max: 46286929.27

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.31, N = 3SE +/- 1.86, N = 3106.91147.89MAX: 26717.27MAX: 27830.18
MinAvgMaxZen 4C - EPYC 8534PN1350146Zen 1 - EPYC 7601252418695OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5709 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 63101 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 106.35 / Avg: 106.91 / Max: 107.41Min: 144.73 / Avg: 147.89 / Max: 151.16

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 349666.50, N = 3SE +/- 197187.95, N = 39953170956993811
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MMin: 98835726.11 / Avg: 99531708.9 / Max: 99938911.32Min: 56603441.78 / Avg: 56993811.31 / Max: 57237555.15

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.08, N = 3SE +/- 0.21, N = 347.1982.07MAX: 23867.11MAX: 23993.13
MinAvgMaxZen 4C - EPYC 8534PN1369148Zen 1 - EPYC 7601252498718OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10764 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 120013 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 76011632486480Min: 47.1 / Avg: 47.19 / Max: 47.34Min: 81.82 / Avg: 82.07 / Max: 82.49

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760120M40M60M80M100MSE +/- 1905882.84, N = 12SE +/- 596691.26, N = 59186978057037441
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760116M32M48M64M80MMin: 81428267.66 / Avg: 91869779.79 / Max: 101190938.54Min: 55717682.39 / Avg: 57037441.18 / Max: 59158869.06

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350SE +/- 4.45, N = 12SE +/- 4.76, N = 5195.49318.24MAX: 28108.09MAX: 28518.21
OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption MonitorZen 4C - EPYC 8534PNZen 1 - EPYC 7601120240360480600Min: 13.03 / Avg: 71.99 / Max: 147.68Min: 251.74 / Avg: 501.08 / Max: 692.261. Zen 4C - EPYC 8534PN: Approximate power consumption of 9676 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 107431 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300Min: 177.11 / Avg: 195.49 / Max: 221.49Min: 302.63 / Avg: 318.24 / Max: 326.98

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760116M32M48M64M80MSE +/- 1143156.28, N = 12SE +/- 295389.20, N = 37303128858403756
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760113M26M39M52M65MMin: 65285668 / Avg: 73031288.05 / Max: 80046991.52Min: 58072839.37 / Avg: 58403756.04 / Max: 58993048.02

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 1.78, N = 12SE +/- 0.61, N = 3101.60129.77MAX: 30258.71MAX: 23980.17
OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption MonitorZen 4C - EPYC 8534PNZen 1 - EPYC 7601120240360480600Min: 12.45 / Avg: 76.43 / Max: 146.71Min: 251.55 / Avg: 534.74 / Max: 698.621. Zen 4C - EPYC 8534PN: Approximate power consumption of 17172 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 183593 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 90.99 / Avg: 101.6 / Max: 114.7Min: 128.56 / Avg: 129.77 / Max: 130.46

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760115M30M45M60M75MSE +/- 878468.51, N = 3SE +/- 138623.83, N = 37098416660237625
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760112M24M36M48M60MMin: 69557910.93 / Avg: 70984165.82 / Max: 72585813.67Min: 59969856.05 / Avg: 60237624.64 / Max: 60433755.91

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 7601110220330440550SE +/- 8.85, N = 3SE +/- 3.72, N = 3394.51488.64MAX: 32858.26MAX: 28615.16
MinAvgMaxZen 4C - EPYC 8534PN1476146Zen 1 - EPYC 7601254530790OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 22136 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 179905 Joules per run.
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450Min: 378.36 / Avg: 394.51 / Max: 408.86Min: 481.47 / Avg: 488.64 / Max: 493.92

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: IMDBZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.24, N = 3SE +/- 0.56, N = 3125.10199.011. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxZen 4C - EPYC 8534PN13.164.1104.1Zen 1 - EPYC 7601211.1418.3590.5OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 13115 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 113214 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 124.86 / Avg: 125.1 / Max: 125.58Min: 197.89 / Avg: 199.01 / Max: 199.681. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.17, N = 3SE +/- 0.21, N = 3178.44245.741. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxZen 4C - EPYC 8534PN12.953.090.9Zen 1 - EPYC 7601262.0320.9559.4OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor1402804205607001. Zen 4C - EPYC 8534PN: Approximate power consumption of 13149 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 106637 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 178.1 / Avg: 178.44 / Max: 178.66Min: 245.43 / Avg: 245.74 / Max: 246.131. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

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: WritesZen 4C - EPYC 8534PNZen 1 - EPYC 760150K100K150K200K250KSE +/- 417.51, N = 3SE +/- 702.01, N = 3251434152887
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesZen 4C - EPYC 8534PNZen 1 - EPYC 760150010001500200025002453.41258.46
MinAvgMaxZen 4C - EPYC 8534PN13102131Zen 1 - EPYC 7601259592701OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 19438 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 87545 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesZen 4C - EPYC 8534PNZen 1 - EPYC 760140K80K120K160K200KMin: 251011 / Avg: 251434 / Max: 252269Min: 151723 / Avg: 152887.33 / Max: 154149

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 ReadZen 4C - EPYC 8534PNZen 1 - EPYC 760170M140M210M280M350MSE +/- 908871.00, N = 3SE +/- 795244.11, N = 3304542944868670411. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadZen 4C - EPYC 8534PNZen 1 - EPYC 7601400K800K1200K1600K2000K1947735.76128090.20
MinAvgMaxZen 4C - EPYC 8534PN14156169Zen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10111 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43855 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadZen 4C - EPYC 8534PNZen 1 - EPYC 760150M100M150M200M250MMin: 303265949 / Avg: 304542944 / Max: 306301755Min: 85668526 / Avg: 86867041.33 / Max: 883717881. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingZen 4C - EPYC 8534PNZen 1 - EPYC 76013M6M9M12M15MSE +/- 104743.64, N = 15SE +/- 67628.42, N = 31294750761456791. (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 WritingZen 4C - EPYC 8534PNZen 1 - EPYC 760120K40K60K80K100K81136.799060.48
MinAvgMaxZen 4C - EPYC 8534PN13160180Zen 1 - EPYC 7601260678716OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10224 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43411 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingZen 4C - EPYC 8534PNZen 1 - EPYC 76012M4M6M8M10MMin: 12291122 / Avg: 12947506.6 / Max: 13822319Min: 6010427 / Avg: 6145679.33 / Max: 62142621. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 4C - EPYC 8534PNZen 1 - EPYC 7601600K1200K1800K2400K3000KSE +/- 17447.09, N = 3SE +/- 1989.50, N = 3257756414360741. (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 RandomZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20K16894.412268.93
MinAvgMaxZen 4C - EPYC 8534PN15153173Zen 1 - EPYC 7601262633710OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9866 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 41140 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 4C - EPYC 8534PNZen 1 - EPYC 7601400K800K1200K1600K2000KMin: 2545918 / Avg: 2577563.67 / Max: 2606119Min: 1432343 / Avg: 1436074 / Max: 14391371. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 760180K160K240K320K400KSE +/- 832.97, N = 3SE +/- 239.59, N = 33566022015551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 760170014002100280035003398.27396.18
MinAvgMaxZen 4C - EPYC 8534PN14.4104.9121.7Zen 1 - EPYC 7601261.5508.7579.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6786 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 32730 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KMin: 354938 / Avg: 356601.67 / Max: 357509Min: 201108 / Avg: 201555 / Max: 2019281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 ReadZen 4C - EPYC 8534PNZen 1 - EPYC 760160M120M180M240M300MSE +/- 1581555.58, N = 3SE +/- 416491.60, N = 3302674440847982041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadZen 4C - EPYC 8534PNZen 1 - EPYC 7601400K800K1200K1600K2000K1925962.53125079.64
MinAvgMaxZen 4C - EPYC 8534PN15157169Zen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10058 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43841 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadZen 4C - EPYC 8534PNZen 1 - EPYC 760150M100M150M200M250MMin: 300256220 / Avg: 302674440 / Max: 305649368Min: 83968592 / Avg: 84798204 / Max: 852778461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingZen 4C - EPYC 8534PNZen 1 - EPYC 76011.5M3M4.5M6M7.5MSE +/- 125140.33, N = 12SE +/- 34108.45, N = 3691826733718761. (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 WritingZen 4C - EPYC 8534PNZen 1 - EPYC 76019K18K27K36K45K42709.954962.32
MinAvgMaxZen 4C - EPYC 8534PN15162179Zen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10367 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43488 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingZen 4C - EPYC 8534PNZen 1 - EPYC 76011.2M2.4M3.6M4.8M6MMin: 6483923 / Avg: 6918267 / Max: 8225989Min: 3311458 / Avg: 3371876.33 / Max: 34295151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 4C - EPYC 8534PNZen 1 - EPYC 7601600K1200K1800K2400K3000KSE +/- 22479.06, N = 15SE +/- 4649.81, N = 3265428615091841. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20K16345.972244.55
MinAvgMaxZen 4C - EPYC 8534PN14162177Zen 1 - EPYC 7601268672711OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10403 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43256 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 4C - EPYC 8534PNZen 1 - EPYC 7601500K1000K1500K2000K2500KMin: 2487636 / Avg: 2654286.2 / Max: 2746140Min: 1499893 / Avg: 1509184 / Max: 15141761. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 7601100K200K300K400K500KSE +/- 566.63, N = 3SE +/- 737.50, N = 34833872906181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 760180016002400320040003799.25502.97
MinAvgMaxZen 4C - EPYC 8534PN15127140Zen 1 - EPYC 7601264578641OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8228 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 37172 Joules per run.
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomZen 4C - EPYC 8534PNZen 1 - EPYC 760180K160K240K320K400KMin: 482286 / Avg: 483387 / Max: 484170Min: 289144 / Avg: 290618 / Max: 2914021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Redis 7.0.12 + memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 4C - EPYC 8534PNZen 1 - EPYC 7601700K1400K2100K2800K3500KSE +/- 25227.98, N = 9SE +/- 1850.76, N = 33084431.371183656.971. (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: 1:10Zen 4C - EPYC 8534PNZen 1 - EPYC 76015K10K15K20K25K23505.651836.86
MinAvgMaxZen 4C - EPYC 8534PN14131153Zen 1 - EPYC 7601260644714OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9317 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 45752 Joules per run.
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 4C - EPYC 8534PNZen 1 - EPYC 7601500K1000K1500K2000K2500KMin: 2930157.26 / Avg: 3084431.37 / Max: 3164136.47Min: 1179977.74 / Avg: 1183656.97 / Max: 1185847.841. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 4C - EPYC 8534PNZen 1 - EPYC 7601600K1200K1800K2400K3000KSE +/- 25230.96, N = 3SE +/- 8571.80, N = 112901182.231142464.161. (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: 1:5Zen 4C - EPYC 8534PNZen 1 - EPYC 76015K10K15K20K25K22203.361771.45
MinAvgMaxZen 4C - EPYC 8534PN14131153Zen 1 - EPYC 7601266645715OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9321 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 45790 Joules per run.
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 4C - EPYC 8534PNZen 1 - EPYC 7601500K1000K1500K2000K2500KMin: 2873200.15 / Avg: 2901182.23 / Max: 2951540.23Min: 1088495.84 / Avg: 1142464.16 / Max: 1190818.441. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingZen 4C - EPYC 8534PNZen 1 - EPYC 760180K160K240K320K400KSE +/- 548.98, N = 3SE +/- 1034.27, N = 33580931239341. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingZen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KMin: 357499 / Avg: 358093.33 / Max: 359190Min: 122447 / Avg: 123934.33 / Max: 1259231. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 4C - EPYC 8534PNZen 1 - EPYC 760190K180K270K360K450KSE +/- 942.48, N = 3SE +/- 1450.84, N = 34060211344171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 4C - EPYC 8534PNZen 1 - EPYC 760160012001800240030002960.25214.29
MinAvgMaxZen 4C - EPYC 8534PN13137180Zen 1 - EPYC 7601262627714OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5669 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 36800 Joules per run.
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 4C - EPYC 8534PNZen 1 - EPYC 760170K140K210K280K350KMin: 405050 / Avg: 406021.33 / Max: 407906Min: 131515 / Avg: 134416.67 / Max: 1358731. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: defconfigZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.50, N = 4SE +/- 0.88, N = 341.7176.30
MinAvgMaxZen 4C - EPYC 8534PN1495176Zen 1 - EPYC 7601257528717OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4947 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 47519 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigZen 4C - EPYC 8534PNZen 1 - EPYC 76011530456075Min: 41.14 / Avg: 41.71 / Max: 43.22Min: 75.05 / Avg: 76.3 / Max: 78.01

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigZen 4C - EPYC 8534PNZen 1 - EPYC 7601160320480640800SE +/- 0.63, N = 3SE +/- 0.57, N = 3307.65755.02
MinAvgMaxZen 4C - EPYC 8534PN14151177Zen 1 - EPYC 7601254677719OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 48779 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 522829 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigZen 4C - EPYC 8534PNZen 1 - EPYC 7601130260390520650Min: 306.76 / Avg: 307.65 / Max: 308.86Min: 754.31 / Avg: 755.02 / Max: 756.14

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: NinjaZen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450SE +/- 0.09, N = 3SE +/- 1.49, N = 3173.87435.05
MinAvgMaxZen 4C - EPYC 8534PN14138180Zen 1 - EPYC 7601257647716OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 26692 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 296747 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaZen 4C - EPYC 8534PNZen 1 - EPYC 760180160240320400Min: 173.76 / Avg: 173.87 / Max: 174.04Min: 433.45 / Avg: 435.05 / Max: 438.02

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesZen 4C - EPYC 8534PNZen 1 - EPYC 7601110220330440550SE +/- 0.55, N = 3SE +/- 1.95, N = 3261.16529.72
MinAvgMaxZen 4C - EPYC 8534PN13113180Zen 1 - EPYC 7601254594718OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 32337 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 333468 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesZen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450Min: 260.21 / Avg: 261.16 / Max: 262.12Min: 526.3 / Avg: 529.72 / Max: 533.05

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 CompileZen 4C - EPYC 8534PNZen 1 - EPYC 760180160240320400SE +/- 0.12, N = 3SE +/- 0.64, N = 3160.73387.65
MinAvgMaxZen 4C - EPYC 8534PN14128180Zen 1 - EPYC 7601144624717OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 21799 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 247661 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileZen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350Min: 160.58 / Avg: 160.73 / Max: 160.96Min: 386.55 / Avg: 387.65 / Max: 388.78

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 CompileZen 4C - EPYC 8534PNZen 1 - EPYC 760180160240320400SE +/- 2.38, N = 3SE +/- 4.50, N = 3217.13388.02
MinAvgMaxZen 4C - EPYC 8534PN1394180Zen 1 - EPYC 7601225533719OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 20999 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 209716 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileZen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350Min: 213.43 / Avg: 217.13 / Max: 221.57Min: 381.31 / Avg: 388.02 / Max: 396.57

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 CompileZen 4C - EPYC 8534PNZen 1 - EPYC 7601918273645SE +/- 0.03, N = 3SE +/- 0.10, N = 318.0639.79
MinAvgMaxZen 4C - EPYC 8534PN1385178Zen 1 - EPYC 7601255526717OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2191 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 25404 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 18.01 / Avg: 18.06 / Max: 18.11Min: 39.66 / Avg: 39.79 / Max: 39.99

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-ThreadedZen 4C - EPYC 8534PNZen 1 - EPYC 760140K80K120K160K200KSE +/- 779.11, N = 3SE +/- 8.17, N = 3171336.664481.71. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 4C - EPYC 8534PNZen 1 - EPYC 760120040060080010001133.5995.99
MinAvgMaxZen 4C - EPYC 8534PN13151177Zen 1 - EPYC 7601258672716OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 11890 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 68741 Joules per run.
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150KMin: 170233.1 / Avg: 171336.6 / Max: 172841.1Min: 64465.8 / Avg: 64481.7 / Max: 64492.91. (CXX) g++ options: -O3 -march=native -fPIE -pie

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.98, N = 378.681. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601260670710OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 57834 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.29, N = 374.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601264652704OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 54524 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceZen 1 - EPYC 7601918273645SE +/- 0.31, N = 338.061. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601265650713OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 29680 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensZen 1 - EPYC 7601714212835SE +/- 0.41, N = 329.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601261637712OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 22923 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelZen 1 - EPYC 7601714212835SE +/- 0.13, N = 330.281. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxZen 1 - EPYC 7601262636714OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 23950 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 - Mesh TimeZen 4C - EPYC 8534PNZen 1 - EPYC 7601102030405030.9544.451. (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, Small Mesh Size - Execution TimeZen 4C - EPYC 8534PNZen 1 - EPYC 760130609012015054.56126.191. (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
MinAvgMaxZen 4C - EPYC 8534PN12158176Zen 1 - EPYC 7601262657703OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250159.57231.741. (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 TimeZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500679.791179.251. (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
MinAvgMaxZen 4C - EPYC 8534PN13155173Zen 1 - EPYC 7601263641705OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

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 1MZen 4C - EPYC 8534PNZen 1 - EPYC 7601110220330440550SE +/- 0.36, N = 3SE +/- 0.62, N = 3297.72499.30
MinAvgMaxZen 4C - EPYC 8534PN15145162Zen 1 - EPYC 7601266628689OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 48473 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 345229 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MZen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450Min: 297.09 / Avg: 297.72 / Max: 298.32Min: 498.26 / Avg: 499.3 / Max: 500.41

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: BM1Zen 4C - EPYC 8534PNZen 1 - EPYC 76016001200180024003000SE +/- 5.71, N = 6SE +/- 0.94, N = 32921.65356.121. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 4C - EPYC 8534PNZen 1 - EPYC 76015001000150020002500Min: 2895.91 / Avg: 2921.65 / Max: 2936.49Min: 354.29 / Avg: 356.12 / Max: 357.421. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.23, N = 6SE +/- 0.04, N = 3116.8714.251. (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: BM1Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.23290.46580.69870.93161.16451.0350.022
MinAvgMaxZen 4C - EPYC 8534PN15113173Zen 1 - EPYC 7601266655707OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1223 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 39758 Joules per run.
OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 115.84 / Avg: 116.87 / Max: 117.46Min: 14.17 / Avg: 14.25 / Max: 14.31. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 4C - EPYC 8534PNZen 1 - EPYC 76016001200180024003000SE +/- 2.46, N = 3SE +/- 0.27, N = 32939.36355.501. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 4C - EPYC 8534PNZen 1 - EPYC 76015001000150020002500Min: 2935.87 / Avg: 2939.36 / Max: 2944.12Min: 354.98 / Avg: 355.5 / Max: 355.861. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.10, N = 3SE +/- 0.01, N = 3117.5714.221. (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: BM2Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.16670.33340.50010.66680.83350.7410.021
MinAvgMaxZen 4C - EPYC 8534PN14159175Zen 1 - EPYC 7601263678697OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 7615 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 247452 Joules per run.
OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 117.44 / Avg: 117.57 / Max: 117.77Min: 14.2 / Avg: 14.22 / Max: 14.231. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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: 1200Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.29, N = 3SE +/- 1.77, N = 438.88148.081. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxZen 4C - EPYC 8534PN13.989.2104.3Zen 1 - EPYC 7601265.0522.7590.2OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4014 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 81018 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Zen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 38.32 / Avg: 38.88 / Max: 39.29Min: 145.45 / Avg: 148.08 / Max: 153.231. (CXX) g++ options: -O3 -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Zen 4C - EPYC 8534PNZen 1 - EPYC 760180160240320400SE +/- 0.43, N = 3SE +/- 6.02, N = 6109.85352.691. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxZen 4C - EPYC 8534PN13.894.5104.7Zen 1 - EPYC 7601247.9525.1591.6OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 11025 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 188855 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Zen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300Min: 109.01 / Avg: 109.85 / Max: 110.47Min: 333.03 / Avg: 352.69 / Max: 371.191. (CXX) g++ options: -O3 -fopenmp

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 NanotubeZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.20, N = 3SE +/- 0.91, N = 363.05142.171. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxZen 4C - EPYC 8534PN14155177Zen 1 - EPYC 7601258667715OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10657 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 98222 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 62.65 / Avg: 63.05 / Max: 63.33Min: 140.66 / Avg: 142.17 / Max: 143.811. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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 AtomsZen 4C - EPYC 8534PNZen 1 - EPYC 7601714212835SE +/- 0.03, N = 3SE +/- 0.05, N = 331.0113.871. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 4C - EPYC 8534PNZen 1 - EPYC 76010.03960.07920.11880.15840.1980.1760.020
MinAvgMaxZen 4C - EPYC 8534PN14176179Zen 1 - EPYC 7601263690703OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 49931 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 432248 Joules per run.
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 4C - EPYC 8534PNZen 1 - EPYC 7601714212835Min: 30.96 / Avg: 31.01 / Max: 31.04Min: 13.79 / Avg: 13.87 / Max: 13.971. (CXX) g++ options: -O3 -lm -ldl

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_shortZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.02, N = 3SE +/- 1.39, N = 357.38108.601. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxZen 4C - EPYC 8534PN15119130Zen 1 - EPYC 7601267587649OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 7479 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 67158 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 57.33 / Avg: 57.38 / Max: 57.41Min: 105.84 / Avg: 108.6 / Max: 110.231. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Zen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000SE +/- 0.79, N = 3SE +/- 1.74, N = 3497.09971.501. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorZen 4C - EPYC 8534PNZen 1 - EPYC 7601110220330440550Min: 14.57 / Avg: 130.07 / Max: 135.51Min: 263.25 / Avg: 593.38 / Max: 633.31. Zen 4C - EPYC 8534PN: Approximate power consumption of 64951 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 576369 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Zen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000Min: 495.9 / Avg: 497.09 / Max: 498.59Min: 968.67 / Avg: 971.5 / Max: 974.671. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 1.2.6Zen 4C - EPYC 8534PNZen 1 - EPYC 760160M120M180M240M300MSE +/- 668520.88, N = 3SE +/- 1601742.67, N = 33031072001873759331. (CXX) g++ options: -O3 -fopenmp -ldl
OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6Zen 4C - EPYC 8534PNZen 1 - EPYC 7601500K1000K1500K2000K2500K2221434.65291422.10
MinAvgMaxZen 4C - EPYC 8534PN15136175Zen 1 - EPYC 7601264643709OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4412 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 30648 Joules per run.
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6Zen 4C - EPYC 8534PNZen 1 - EPYC 760150M100M150M200M250MMin: 302393500 / Avg: 303107200 / Max: 304443200Min: 184240900 / Avg: 187375933.33 / Max: 1895139001. (CXX) g++ options: -O3 -fopenmp -ldl

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 DirectionZen 4C - EPYC 8534PNZen 1 - EPYC 7601918273645SE +/- 0.03, N = 3SE +/- 0.22, N = 320.8737.411. (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
MinAvgMaxZen 4C - EPYC 8534PN14119152Zen 1 - EPYC 7601264578640OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 3127 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 24657 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 20.83 / Avg: 20.87 / Max: 20.94Min: 36.96 / Avg: 37.41 / Max: 37.681. (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.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dZen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000SE +/- 1.66, N = 3SE +/- 0.24, N = 3562.36818.051. (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 MonitorZen 4C - EPYC 8534PNZen 1 - EPYC 7601120240360480600Min: 14.17 / Avg: 133.33 / Max: 149.74Min: 264.43 / Avg: 601.98 / Max: 679.051. Zen 4C - EPYC 8534PN: Approximate power consumption of 76086 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 495227 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dZen 4C - EPYC 8534PNZen 1 - EPYC 7601140280420560700Min: 559.1 / Avg: 562.36 / Max: 564.53Min: 817.65 / Avg: 818.05 / Max: 818.481. (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

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 AtomsZen 4C - EPYC 8534PNZen 1 - EPYC 76010.22040.44080.66120.88161.102SE +/- 0.00016, N = 3SE +/- 0.00385, N = 30.391750.97959
MinAvgMaxZen 4C - EPYC 8534PN15145168Zen 1 - EPYC 7601265665714OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5708 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 36140 Joules per run.
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsZen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.98 / Avg: 0.98 / Max: 0.99

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.44820.89641.34461.79282.241SE +/- 0.017, N = 31.9921. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.00070.00140.00210.00280.00350.003
MinAvgMaxZen 1 - EPYC 7601263670709OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor20040060080010001. Zen 1 - EPYC 7601: Approximate power consumption of 68069 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 P1Zen 4C - EPYC 8534PNZen 1 - EPYC 76015M10M15M20M25MSE +/- 46666.67, N = 3SE +/- 66916.20, N = 321326667129966671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 4C - EPYC 8534PNZen 1 - EPYC 760140K80K120K160K200K201814.4022248.55
MinAvgMaxZen 4C - EPYC 8534PN13106117Zen 1 - EPYC 7601243584648OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6129 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 54132 Joules per run.
OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 4C - EPYC 8534PNZen 1 - EPYC 76014M8M12M16M20MMin: 21280000 / Avg: 21326666.67 / Max: 21420000Min: 12890000 / Avg: 12996666.67 / Max: 131200001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 4C - EPYC 8534PNZen 1 - EPYC 76013M6M9M12M15MSE +/- 14529.66, N = 3SE +/- 37118.43, N = 316176667150133331. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 4C - EPYC 8534PNZen 1 - EPYC 760140K80K120K160K200K175615.6527116.87
MinAvgMaxZen 4C - EPYC 8534PN13.692.194.5Zen 1 - EPYC 7601255.2553.7594.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 26989 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 175323 Joules per run.
OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 4C - EPYC 8534PNZen 1 - EPYC 76013M6M9M12M15MMin: 16150000 / Avg: 16176666.67 / Max: 16200000Min: 14940000 / Avg: 15013333.33 / Max: 150600001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2Zen 4C - EPYC 8534PNZen 1 - EPYC 76013M6M9M12M15MSE +/- 6666.67, N = 3SE +/- 16666.67, N = 316316667114266671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2Zen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150K143547.5318307.66
MinAvgMaxZen 4C - EPYC 8534PN14114117Zen 1 - EPYC 7601259624662OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 35843 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 279826 Joules per run.
OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2Zen 4C - EPYC 8534PNZen 1 - EPYC 76013M6M9M12M15MMin: 16310000 / Avg: 16316666.67 / Max: 16330000Min: 11410000 / Avg: 11426666.67 / Max: 114600001. (CXX) g++ options: -fopenmp -O3 -march=native

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: 500MZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.006, N = 5SE +/- 0.118, N = 35.09915.693
MinAvgMaxZen 4C - EPYC 8534PN1476156Zen 1 - EPYC 7601262543712OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 961 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 12297 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 5.08 / Avg: 5.1 / Max: 5.12Min: 15.47 / Avg: 15.69 / Max: 15.86

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240SE +/- 0.01, N = 4SE +/- 0.09, N = 310.2333.92
MinAvgMaxZen 4C - EPYC 8534PN1396170Zen 1 - EPYC 7601263602718OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1867 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 25286 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BZen 4C - EPYC 8534PNZen 1 - EPYC 7601714212835Min: 10.22 / Avg: 10.23 / Max: 10.25Min: 33.8 / Avg: 33.92 / Max: 34.1

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025SE +/- 0.145648, N = 5SE +/- 0.057778, N = 1522.9533153.7907991. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 4C - EPYC 8534PNZen 1 - EPYC 76010.04590.09180.13770.18360.22950.2040.006
MinAvgMaxZen 4C - EPYC 8534PN12113175Zen 1 - EPYC 7601264618679OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1624 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 40324 Joules per run.
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025Min: 22.46 / Avg: 22.95 / Max: 23.36Min: 3.37 / Avg: 3.79 / Max: 4.111. (CC) gcc options: -O3 -march=native -fopenmp

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.47, N = 3SE +/- 4.88, N = 12126.97201.18-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
MinAvgMaxZen 4C - EPYC 8534PN14159169Zen 1 - EPYC 7601255673711OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 20756 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 137721 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 126.12 / Avg: 126.97 / Max: 127.75Min: 192.79 / Avg: 201.18 / Max: 248.391. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

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-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76011632486480SE +/- 0.12, N = 3SE +/- 0.35, N = 327.0773.00
MinAvgMaxZen 4C - EPYC 8534PN14136169Zen 1 - EPYC 7601261677715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4347 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 52828 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76011428425670Min: 26.91 / Avg: 27.07 / Max: 27.31Min: 72.48 / Avg: 73 / Max: 73.66

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.09, N = 3SE +/- 1.40, N = 367.91192.80
MinAvgMaxZen 4C - EPYC 8534PN15150169Zen 1 - EPYC 7601263696717OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10862 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 136962 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 67.74 / Avg: 67.91 / Max: 68.06Min: 191.27 / Avg: 192.8 / Max: 195.59

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.08, N = 3SE +/- 0.13, N = 335.37101.20
MinAvgMaxZen 4C - EPYC 8534PN15147171Zen 1 - EPYC 7601265681714OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5970 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 72442 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 35.22 / Avg: 35.37 / Max: 35.47Min: 101.02 / Avg: 101.2 / Max: 101.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.13, N = 3SE +/- 0.13, N = 386.57247.24
MinAvgMaxZen 4C - EPYC 8534PN15152171Zen 1 - EPYC 7601264698715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 13800 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 175722 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 86.35 / Avg: 86.57 / Max: 86.81Min: 246.99 / Avg: 247.24 / Max: 247.42

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 7601170340510680850SE +/- 0.15, N = 3SE +/- 0.52, N = 3240.35767.15
MinAvgMaxZen 4C - EPYC 8534PN15157176Zen 1 - EPYC 7601264702715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 38741 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 542503 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 7601130260390520650Min: 240.05 / Avg: 240.35 / Max: 240.51Min: 766.13 / Avg: 767.15 / Max: 767.82

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 DragonZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.04, N = 5SE +/- 0.05, N = 383.2021.83MIN: 82.46 / MAX: 84.5MIN: 21.6 / MAX: 22.16
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 4C - EPYC 8534PNZen 1 - EPYC 76010.15230.30460.45690.60920.76150.6770.034
MinAvgMaxZen 4C - EPYC 8534PN15123180Zen 1 - EPYC 7601266649712OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1721 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 25525 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 4C - EPYC 8534PNZen 1 - EPYC 76011632486480Min: 83.09 / Avg: 83.2 / Max: 83.3Min: 21.73 / Avg: 21.83 / Max: 21.9

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 4C - EPYC 8534PNZen 1 - EPYC 76011530456075SE +/- 0.09, N = 5SE +/- 0.09, N = 367.9018.36MIN: 66.05 / MAX: 70.27MIN: 18.01 / MAX: 18.84
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 4C - EPYC 8534PNZen 1 - EPYC 76010.11680.23360.35040.46720.5840.5190.028
MinAvgMaxZen 4C - EPYC 8534PN14131178Zen 1 - EPYC 7601265660715OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2014 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 29928 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 4C - EPYC 8534PNZen 1 - EPYC 76011326395265Min: 67.7 / Avg: 67.9 / Max: 68.22Min: 18.18 / Avg: 18.36 / Max: 18.5

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76010.4140.8281.2421.6562.07SE +/- 0.00, N = 3SE +/- 0.00, N = 31.840.48
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 76010.00340.00680.01020.01360.0170.0150.001
MinAvgMaxZen 4C - EPYC 8534PN14123153Zen 1 - EPYC 7601263656700OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2577 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 44416 Joules per run.
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 1.84 / Avg: 1.84 / Max: 1.85Min: 0.48 / Avg: 0.48 / Max: 0.48

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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012K4K6K8K10KSE +/- 2.08, N = 3SE +/- 16.50, N = 318568478
MinAvgMaxZen 4C - EPYC 8534PN14128164Zen 1 - EPYC 7601263579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9836 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 56975 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760115003000450060007500Min: 1852 / Avg: 1856 / Max: 1859Min: 8446 / Avg: 8478 / Max: 8501

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150KSE +/- 45.84, N = 3SE +/- 81.84, N = 336085145528
MinAvgMaxZen 4C - EPYC 8534PN14111163Zen 1 - EPYC 7601264631714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5870 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 104388 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150KMin: 35993 / Avg: 36084.67 / Max: 36132Min: 145445 / Avg: 145528.33 / Max: 145692

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KSE +/- 237.26, N = 3SE +/- 353.76, N = 365725280606
MinAvgMaxZen 4C - EPYC 8534PN14130163Zen 1 - EPYC 7601263664715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10656 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 199147 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760150K100K150K200K250KMin: 65256 / Avg: 65725 / Max: 66022Min: 280238 / Avg: 280605.67 / Max: 281313

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012K4K6K8K10KSE +/- 3.51, N = 3SE +/- 34.23, N = 3219610050
MinAvgMaxZen 4C - EPYC 8534PN14129165Zen 1 - EPYC 7601146579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10038 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 58671 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012K4K6K8K10KMin: 2192 / Avg: 2196 / Max: 2203Min: 9982 / Avg: 10050.33 / Max: 10088

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760140K80K120K160K200KSE +/- 228.15, N = 3SE +/- 133.22, N = 341278171188
MinAvgMaxZen 4C - EPYC 8534PN14117164Zen 1 - EPYC 7601262638714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6772 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 122336 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760130K60K90K120K150KMin: 40825 / Avg: 41278 / Max: 41552Min: 170972 / Avg: 171187.67 / Max: 171431

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760170K140K210K280K350KSE +/- 336.36, N = 3SE +/- 188.22, N = 376785331643
MinAvgMaxZen 4C - EPYC 8534PN15134164Zen 1 - EPYC 7601261670715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 12507 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 234636 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760160K120K180K240K300KMin: 76122 / Avg: 76785.33 / Max: 77214Min: 331269 / Avg: 331643 / Max: 331867

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_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.03849, N = 3SE +/- 0.00282, N = 317.298602.57829
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.02630.05260.07890.10520.13150.1170.004
MinAvgMaxZen 4C - EPYC 8534PN14148176Zen 1 - EPYC 7601163621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8943 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 36637 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 17.22 / Avg: 17.3 / Max: 17.34Min: 2.57 / Avg: 2.58 / Max: 2.58

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.01858, N = 3SE +/- 0.01722, N = 316.808902.46692
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.02540.05080.07620.10160.1270.1130.004
MinAvgMaxZen 4C - EPYC 8534PN14148175Zen 1 - EPYC 7601264621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9000 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 36002 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 16.78 / Avg: 16.81 / Max: 16.84Min: 2.44 / Avg: 2.47 / Max: 2.5

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025SE +/- 0.02744, N = 3SE +/- 0.01550, N = 319.643404.14841
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.03080.06160.09240.12320.1540.1370.007
MinAvgMaxZen 4C - EPYC 8534PN14143171Zen 1 - EPYC 7601263635708OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8541 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 52690 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025Min: 19.61 / Avg: 19.64 / Max: 19.7Min: 4.12 / Avg: 4.15 / Max: 4.18

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.01999, N = 3SE +/- 0.01171, N = 317.099305.28931
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.02340.04680.07020.09360.1170.1040.008
MinAvgMaxZen 4C - EPYC 8534PN14164173Zen 1 - EPYC 7601265681703OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 16433 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 86016 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 17.06 / Avg: 17.1 / Max: 17.12Min: 5.27 / Avg: 5.29 / Max: 5.31

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.05559, N = 3SE +/- 0.00822, N = 317.048405.22116
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.02810.05620.08430.11240.14050.1250.008
MinAvgMaxZen 4C - EPYC 8534PN14136173Zen 1 - EPYC 7601263623704OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 20255 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 112062 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 16.94 / Avg: 17.05 / Max: 17.11Min: 5.21 / Avg: 5.22 / Max: 5.24

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.13, N = 3SE +/- 0.08, N = 3166.1598.44
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 76010.2630.5260.7891.0521.3151.1690.162
MinAvgMaxZen 4C - EPYC 8534PN14142174Zen 1 - EPYC 7601262607699OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 25208 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 94538 Joules per run.
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 165.95 / Avg: 166.15 / Max: 166.39Min: 98.27 / Avg: 98.44 / Max: 98.53

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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760113K26K39K52K65KSE +/- 764.13, N = 3SE +/- 15.72, N = 36091120175
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601100200300400500463.0734.52
MinAvgMaxZen 4C - EPYC 8534PN14132176Zen 1 - EPYC 7601259584716OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 11005 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 51240 Joules per run.
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760111K22K33K44K55KMin: 59762 / Avg: 60910.67 / Max: 62358Min: 20144 / Avg: 20175 / Max: 20195

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430SE +/- 0.040, N = 3SE +/- 0.050, N = 324.5228.580
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 4C - EPYC 8534PNZen 1 - EPYC 76010.04190.08380.12570.16760.20950.1860.013
MinAvgMaxZen 4C - EPYC 8534PN14132171Zen 1 - EPYC 7601263666719OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10083 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 44649 Joules per run.
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430Min: 24.46 / Avg: 24.52 / Max: 24.59Min: 8.49 / Avg: 8.58 / Max: 8.66

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215SE +/- 0.005, N = 3SE +/- 0.022, N = 311.1723.991
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 4C - EPYC 8534PNZen 1 - EPYC 76010.01670.03340.05010.06680.08350.0740.006
MinAvgMaxZen 4C - EPYC 8534PN14151166Zen 1 - EPYC 7601263662717OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10138 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 45040 Joules per run.
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215Min: 11.16 / Avg: 11.17 / Max: 11.18Min: 3.95 / Avg: 3.99 / Max: 4.02

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: LiveZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.14, N = 3SE +/- 0.07, N = 3114.9558.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 4C - EPYC 8534PNZen 1 - EPYC 76010.44930.89861.34791.79722.24651.9970.174
MinAvgMaxZen 4C - EPYC 8534PN13.757.678.3Zen 1 - EPYC 7601261.5334.7472.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1202403604806001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4068 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 40607 Joules per run.
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 114.69 / Avg: 114.95 / Max: 115.14Min: 58.11 / Avg: 58.23 / Max: 58.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430SE +/- 0.02, N = 3SE +/- 0.00, N = 323.1810.391. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 4C - EPYC 8534PNZen 1 - EPYC 76010.09020.18040.27060.36080.4510.4010.031
MinAvgMaxZen 4C - EPYC 8534PN13.157.890.5Zen 1 - EPYC 7601251.3338.9555.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1402804205607001. Zen 4C - EPYC 8534PN: Approximate power consumption of 11194 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 116824 Joules per run.
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025Min: 23.16 / Avg: 23.18 / Max: 23.21Min: 10.38 / Avg: 10.39 / Max: 10.391. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455SE +/- 0.04, N = 3SE +/- 0.02, N = 346.9621.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 4C - EPYC 8534PNZen 1 - EPYC 76010.17190.34380.51570.68760.85950.7640.060
MinAvgMaxZen 4C - EPYC 8534PN13.161.579.3Zen 1 - EPYC 7601178.8350.2501.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1302603905206501. Zen 4C - EPYC 8534PN: Approximate power consumption of 11577 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 138115 Joules per run.
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050Min: 46.92 / Avg: 46.96 / Max: 47.04Min: 21 / Avg: 21.03 / Max: 21.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455SE +/- 0.01, N = 3SE +/- 0.00, N = 346.9821.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 4C - EPYC 8534PNZen 1 - EPYC 76010.17190.34380.51570.68760.85950.7640.060
MinAvgMaxZen 4C - EPYC 8534PN12.861.578.9Zen 1 - EPYC 7601251.1348.9503.6OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1302603905206501. Zen 4C - EPYC 8534PN: Approximate power consumption of 11542 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 137486 Joules per run.
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050Min: 46.95 / Avg: 46.98 / Max: 46.99Min: 21.04 / Avg: 21.04 / Max: 21.051. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 1.62, N = 9SE +/- 2.72, N = 12196.4267.931. (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 13 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76010.84941.69882.54823.39764.2473.7750.175
MinAvgMaxZen 4C - EPYC 8534PN1352123Zen 1 - EPYC 7601250387643OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 676 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 8103 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 185.64 / Avg: 196.42 / Max: 202.05Min: 39.99 / Avg: 67.93 / Max: 76.051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 1.97, N = 6SE +/- 0.80, N = 15194.5570.531. (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 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76010.85321.70642.55963.41284.2663.7920.176
MinAvgMaxZen 4C - EPYC 8534PN1351122Zen 1 - EPYC 7601144400660OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 676 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 8380 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 187.73 / Avg: 194.55 / Max: 200.69Min: 65.01 / Avg: 70.52 / Max: 74.731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76011530456075SE +/- 0.10, N = 4SE +/- 0.17, N = 367.2126.251. (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 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76010.2030.4060.6090.8121.0150.9020.052
MinAvgMaxZen 4C - EPYC 8534PN1374129Zen 1 - EPYC 7601262502689OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1247 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 17057 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76011326395265Min: 67 / Avg: 67.21 / Max: 67.46Min: 25.94 / Avg: 26.25 / Max: 26.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 7601246810SE +/- 0.041, N = 3SE +/- 0.011, N = 36.6723.0601. (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 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76010.01940.03880.05820.07760.0970.0860.006
MinAvgMaxZen 4C - EPYC 8534PN1377134Zen 1 - EPYC 7601254498687OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2551 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 32543 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215Min: 6.62 / Avg: 6.67 / Max: 6.75Min: 3.04 / Avg: 3.06 / Max: 3.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Zen 4C - EPYC 8534PNZen 1 - EPYC 76013691215SE +/- 0.020, N = 3SE +/- 0.080, N = 312.3556.971
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.05090.10180.15270.20360.25450.2260.020
MinAvgMaxZen 4C - EPYC 8534PN12.554.759.1Zen 1 - EPYC 7601252.3344.6364.8OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1002003004005001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2882 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 31125 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Zen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 12.32 / Avg: 12.36 / Max: 12.38Min: 6.83 / Avg: 6.97 / Max: 7.11

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Zen 4C - EPYC 8534PNZen 1 - EPYC 76011.09372.18743.28114.37485.4685SE +/- 0.020, N = 3SE +/- 0.003, N = 34.8612.937
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.02030.04060.06090.08120.10150.0900.008
MinAvgMaxZen 4C - EPYC 8534PN12.654.362.3Zen 1 - EPYC 7601258.0367.6413.4OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1102203304405501. Zen 4C - EPYC 8534PN: Approximate power consumption of 2480 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 26469 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Zen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 4.84 / Avg: 4.86 / Max: 4.9Min: 2.93 / Avg: 2.94 / Max: 2.94

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.80571.61142.41713.22284.0285SE +/- 0.002, N = 3SE +/- 0.014, N = 33.5812.249
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 5Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.01460.02920.04380.05840.0730.0650.006
MinAvgMaxZen 4C - EPYC 8534PN12.955.068.3Zen 1 - EPYC 7601265.3372.5499.9OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1302603905206501. Zen 4C - EPYC 8534PN: Approximate power consumption of 3301 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 34767 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Zen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 3.58 / Avg: 3.58 / Max: 3.58Min: 2.23 / Avg: 2.25 / Max: 2.28

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.19190.38380.57570.76760.9595SE +/- 0.001, N = 3SE +/- 0.001, N = 30.8530.563
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 1Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.00320.00640.00960.01280.0160.0140.001
MinAvgMaxZen 4C - EPYC 8534PN12.862.381.6Zen 1 - EPYC 7601220.0426.6553.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor1402804205607001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6105 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 62428 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Zen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 0.85 / Avg: 0.85 / Max: 0.86Min: 0.56 / Avg: 0.56 / Max: 0.57

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 4KZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430SE +/- 0.05, N = 3SE +/- 0.17, N = 427.5414.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 76010.08080.16160.24240.32320.4040.3590.028
MinAvgMaxZen 4C - EPYC 8534PN13.176.798.8Zen 1 - EPYC 7601263.4516.7606.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2020 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 23767 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430Min: 27.45 / Avg: 27.54 / Max: 27.63Min: 14.3 / Avg: 14.52 / Max: 15.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: MediumZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 319.878.73
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 4C - EPYC 8534PNZen 1 - EPYC 76010.03510.07020.10530.14040.17550.1560.013
MinAvgMaxZen 4C - EPYC 8534PN13127152Zen 1 - EPYC 7601257656705OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4363 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 47695 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 4C - EPYC 8534PNZen 1 - EPYC 7601510152025Min: 19.83 / Avg: 19.87 / Max: 19.92Min: 8.65 / Avg: 8.73 / Max: 8.78

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011224364860SE +/- 0.04, N = 5SE +/- 0.08, N = 352.5922.27
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 4C - EPYC 8534PNZen 1 - EPYC 76010.10690.21380.32070.42760.53450.4750.036
MinAvgMaxZen 4C - EPYC 8534PN14111151Zen 1 - EPYC 7601260613686OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1750 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 19192 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455Min: 52.46 / Avg: 52.59 / Max: 52.71Min: 22.12 / Avg: 22.27 / Max: 22.35

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011224364860SE +/- 0.07, N = 5SE +/- 0.01, N = 355.0123.44
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 4C - EPYC 8534PNZen 1 - EPYC 76010.11250.2250.33750.450.56250.5000.038
MinAvgMaxZen 4C - EPYC 8534PN14110151Zen 1 - EPYC 7601264618689OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1651 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 18330 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455Min: 54.81 / Avg: 55.01 / Max: 55.17Min: 23.42 / Avg: 23.44 / Max: 23.47

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011326395265SE +/- 0.14, N = 5SE +/- 0.04, N = 355.9827.21
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 4C - EPYC 8534PNZen 1 - EPYC 76010.12620.25240.37860.50480.6310.5610.046
MinAvgMaxZen 4C - EPYC 8534PN13100137Zen 1 - EPYC 7601264589673OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 1495 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 15699 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455Min: 55.7 / Avg: 55.98 / Max: 56.46Min: 27.14 / Avg: 27.21 / Max: 27.26

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: FastZen 4C - EPYC 8534PNZen 1 - EPYC 7601246810SE +/- 0.008, N = 3SE +/- 0.034, N = 36.2803.2911. (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: FastZen 4C - EPYC 8534PNZen 1 - EPYC 76010.01550.0310.04650.0620.07750.0690.006
MinAvgMaxZen 4C - EPYC 8534PN1391137Zen 1 - EPYC 7601159513706OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9312 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 96618 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215Min: 6.27 / Avg: 6.28 / Max: 6.29Min: 3.23 / Avg: 3.29 / Max: 3.341. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215SE +/- 0.020, N = 3SE +/- 0.018, N = 311.5646.4931. (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: FasterZen 4C - EPYC 8534PNZen 1 - EPYC 76010.02950.0590.08850.1180.14750.1310.013
MinAvgMaxZen 4C - EPYC 8534PN1488122Zen 1 - EPYC 7601261519649OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5218 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 51547 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215Min: 11.54 / Avg: 11.56 / Max: 11.6Min: 6.46 / Avg: 6.49 / Max: 6.521. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76011224364860SE +/- 0.20, N = 3SE +/- 0.00, N = 353.513.821. (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 FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455Min: 53.19 / Avg: 53.51 / Max: 53.89Min: 3.82 / Avg: 3.82 / Max: 3.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601400800120016002000SE +/- 2.44, N = 3SE +/- 0.06, N = 3595.922094.21MIN: 511.76 / MAX: 618.53MIN: 2092.79 / MAX: 2112.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN14148164Zen 1 - EPYC 7601257592660OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10143 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 42836 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601400800120016002000Min: 591.25 / Avg: 595.92 / Max: 599.47Min: 2094.12 / Avg: 2094.21 / Max: 2094.331. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760116K32K48K64K80KSE +/- 275.21, N = 3SE +/- 3.60, N = 374625.6113011.101. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760113K26K39K52K65KMin: 74285.92 / Avg: 74625.61 / Max: 75170.54Min: 13004.67 / Avg: 13011.1 / Max: 13017.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76010.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.00, N = 30.602.43MIN: 0.27 / MAX: 24.87MIN: 2.39 / MAX: 10.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN14140152Zen 1 - EPYC 7601259630678OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9038 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 40747 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601246810Min: 0.59 / Avg: 0.6 / Max: 0.6Min: 2.43 / Avg: 2.43 / Max: 2.431. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.21, N = 3SE +/- 0.09, N = 3218.0743.911. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 217.71 / Avg: 218.07 / Max: 218.44Min: 43.76 / Avg: 43.91 / Max: 44.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.14, N = 3SE +/- 0.36, N = 3146.53181.92MIN: 71.86 / MAX: 230.85MIN: 171.42 / MAX: 202.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN15150168Zen 1 - EPYC 7601260668708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10007 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 44061 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 146.29 / Avg: 146.53 / Max: 146.76Min: 181.28 / Avg: 181.92 / Max: 182.531. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760111002200330044005500SE +/- 6.62, N = 3SE +/- 0.02, N = 35276.11377.401. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76019001800270036004500Min: 5265.11 / Avg: 5276.11 / Max: 5288Min: 377.37 / Avg: 377.4 / Max: 377.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 311.9784.68MIN: 6.19 / MAX: 26.19MIN: 84.05 / MAX: 93.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN15153164Zen 1 - EPYC 7601262601630OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9815 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 39055 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76011632486480Min: 11.94 / Avg: 11.97 / Max: 11.99Min: 84.68 / Avg: 84.68 / Max: 84.691. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76016001200180024003000SE +/- 5.14, N = 3SE +/- 0.35, N = 32902.57295.801. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76015001000150020002500Min: 2896.75 / Avg: 2902.57 / Max: 2912.82Min: 295.16 / Avg: 295.8 / Max: 296.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 310.9027.01MIN: 5.86 / MAX: 22.42MIN: 26.86 / MAX: 38.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN14147159Zen 1 - EPYC 7601261616662OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9533 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 39813 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601612182430Min: 10.86 / Avg: 10.9 / Max: 10.92Min: 26.97 / Avg: 27.01 / Max: 27.071. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76016001200180024003000SE +/- 1.69, N = 3SE +/- 1.63, N = 32602.27471.381. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76015001000150020002500Min: 2600.36 / Avg: 2602.27 / Max: 2605.65Min: 468.22 / Avg: 471.38 / Max: 473.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620SE +/- 0.01, N = 3SE +/- 0.06, N = 312.2116.95MIN: 7.44 / MAX: 23.58MIN: 16.19 / MAX: 27.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN15139153Zen 1 - EPYC 7601260660708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9099 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43361 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760148121620Min: 12.19 / Avg: 12.21 / Max: 12.22Min: 16.87 / Avg: 16.95 / Max: 17.061. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350SE +/- 0.68, N = 3SE +/- 0.10, N = 3309.8241.321. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300Min: 308.66 / Avg: 309.82 / Max: 311.01Min: 41.17 / Avg: 41.32 / Max: 41.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.21, N = 3SE +/- 0.49, N = 3103.12193.33MIN: 51.8 / MAX: 150.84MIN: 178.13 / MAX: 252.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN14152170Zen 1 - EPYC 7601261665708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10054 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43870 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 102.75 / Avg: 103.12 / Max: 103.49Min: 192.36 / Avg: 193.33 / Max: 193.991. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012K4K6K8K10KSE +/- 14.71, N = 3SE +/- 0.26, N = 38840.41877.491. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760115003000450060007500Min: 8823.98 / Avg: 8840.41 / Max: 8869.76Min: 877.02 / Avg: 877.49 / Max: 877.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215SE +/- 0.01, N = 3SE +/- 0.00, N = 37.109.10MIN: 4.1 / MAX: 18.36MIN: 9.04 / MAX: 17.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN14149161Zen 1 - EPYC 7601262604653OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9630 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 39243 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76013691215Min: 7.08 / Avg: 7.1 / Max: 7.11Min: 9.1 / Avg: 9.1 / Max: 9.11. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500SE +/- 0.72, N = 3SE +/- 0.70, N = 31229.16189.051. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000Min: 1227.72 / Avg: 1229.16 / Max: 1229.97Min: 187.74 / Avg: 189.05 / Max: 190.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.03, N = 3SE +/- 0.65, N = 351.96169.04MIN: 33.44 / MAX: 81.12MIN: 141.74 / MAX: 192.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN15163176Zen 1 - EPYC 7601260670709OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 10607 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 43748 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 51.93 / Avg: 51.96 / Max: 52.02Min: 168.06 / Avg: 169.04 / Max: 170.271. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000SE +/- 2.89, N = 3SE +/- 0.14, N = 3977.07149.491. (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: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000Min: 971.54 / Avg: 977.07 / Max: 981.29Min: 149.35 / Avg: 149.49 / Max: 149.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76011224364860SE +/- 0.10, N = 3SE +/- 0.05, N = 332.6753.47MIN: 17.88 / MAX: 49.59MIN: 52.68 / MAX: 66.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
MinAvgMaxZen 4C - EPYC 8534PN15144157Zen 1 - EPYC 7601262614672OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 9401 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 40309 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455Min: 32.53 / Avg: 32.67 / Max: 32.85Min: 53.37 / Avg: 53.47 / Max: 53.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500SE +/- 0.50, N = 3SE +/- 1.56, N = 31444.91260.25
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500Min: 1443.93 / Avg: 1444.91 / Max: 1445.59Min: 257.69 / Avg: 260.25 / Max: 263.07

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011428425670SE +/- 0.01, N = 3SE +/- 0.36, N = 322.1261.39
MinAvgMaxZen 4C - EPYC 8534PN14117155Zen 1 - EPYC 7601260558711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6081 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 33136 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011224364860Min: 22.11 / Avg: 22.12 / Max: 22.13Min: 60.73 / Avg: 61.39 / Max: 61.99

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760170140210280350SE +/- 0.25, N = 3SE +/- 0.85, N = 6322.2890.66
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300Min: 321.89 / Avg: 322.28 / Max: 322.76Min: 87.12 / Avg: 90.66 / Max: 93.16

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200SE +/- 0.07, N = 3SE +/- 1.64, N = 699.11176.43
MinAvgMaxZen 4C - EPYC 8534PN14132162Zen 1 - EPYC 7601261604711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5997 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 28772 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150Min: 98.99 / Avg: 99.11 / Max: 99.21Min: 171.7 / Avg: 176.43 / Max: 183.34

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601100200300400500SE +/- 0.29, N = 3SE +/- 0.49, N = 3484.73144.68
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450Min: 484.16 / Avg: 484.73 / Max: 485.03Min: 144.17 / Avg: 144.68 / Max: 145.67

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.04, N = 3SE +/- 0.40, N = 365.93110.45
MinAvgMaxZen 4C - EPYC 8534PN14134157Zen 1 - EPYC 7601260637710OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5691 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 27585 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 65.87 / Avg: 65.93 / Max: 65.99Min: 109.64 / Avg: 110.45 / Max: 110.86

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240SE +/- 0.06, N = 3SE +/- 0.04, N = 336.7610.75
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 36.64 / Avg: 36.76 / Max: 36.86Min: 10.69 / Avg: 10.75 / Max: 10.82

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500SE +/- 0.50, N = 3SE +/- 5.55, N = 3855.731457.92
MinAvgMaxZen 4C - EPYC 8534PN14133176Zen 1 - EPYC 7601262572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6936 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 32221 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500Min: 855.24 / Avg: 855.73 / Max: 856.73Min: 1449.56 / Avg: 1457.92 / Max: 1468.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.36, N = 3SE +/- 0.21, N = 3219.9170.34
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 219.46 / Avg: 219.91 / Max: 220.62Min: 69.96 / Avg: 70.34 / Max: 70.66

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.24, N = 3SE +/- 0.66, N = 3145.11226.95
MinAvgMaxZen 4C - EPYC 8534PN14145170Zen 1 - EPYC 7601260632709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6179 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 27814 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 144.69 / Avg: 145.11 / Max: 145.5Min: 225.81 / Avg: 226.95 / Max: 228.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.29, N = 3SE +/- 0.11, N = 3221.3070.56
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 220.86 / Avg: 221.3 / Max: 221.85Min: 70.36 / Avg: 70.56 / Max: 70.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760150100150200250SE +/- 0.20, N = 3SE +/- 0.35, N = 3144.14226.37
MinAvgMaxZen 4C - EPYC 8534PN14144169Zen 1 - EPYC 7601263635709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6107 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 27537 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76014080120160200Min: 143.78 / Avg: 144.14 / Max: 144.45Min: 225.71 / Avg: 226.37 / Max: 226.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240SE +/- 0.10, N = 3SE +/- 0.07, N = 336.9210.81
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 36.73 / Avg: 36.92 / Max: 37.06Min: 10.68 / Avg: 10.81 / Max: 10.92

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500SE +/- 0.81, N = 3SE +/- 2.60, N = 3855.931460.70
MinAvgMaxZen 4C - EPYC 8534PN14133175Zen 1 - EPYC 7601261572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6922 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 32216 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500Min: 854.35 / Avg: 855.93 / Max: 857.04Min: 1455.55 / Avg: 1460.7 / Max: 1463.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011428425670SE +/- 0.1281, N = 3SE +/- 0.0191, N = 364.03619.2992
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011326395265Min: 63.79 / Avg: 64.04 / Max: 64.22Min: 9.26 / Avg: 9.3 / Max: 9.32

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601400800120016002000SE +/- 1.38, N = 3SE +/- 3.29, N = 3495.141701.37
MinAvgMaxZen 4C - EPYC 8534PN14135164Zen 1 - EPYC 7601264582695OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6263 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 28322 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500Min: 492.78 / Avg: 495.14 / Max: 497.55Min: 1695.84 / Avg: 1701.37 / Max: 1707.21

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601100200300400500SE +/- 0.12, N = 3SE +/- 1.66, N = 3484.87142.80
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760190180270360450Min: 484.62 / Avg: 484.87 / Max: 485.02Min: 139.52 / Avg: 142.8 / Max: 144.86

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.01, N = 3SE +/- 1.29, N = 365.91111.90
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 65.9 / Avg: 65.91 / Max: 65.93Min: 110.27 / Avg: 111.9 / Max: 114.45

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76018001600240032004000SE +/- 7.35, N = 3SE +/- 0.49, N = 33821.92155.70
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76017001400210028003500Min: 3807.27 / Avg: 3821.92 / Max: 3830.19Min: 154.77 / Avg: 155.7 / Max: 156.43

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100SE +/- 0.0152, N = 3SE +/- 0.3037, N = 38.3560102.6582
MinAvgMaxZen 4C - EPYC 8534PN14127148Zen 1 - EPYC 7601259630707OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5324 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 27943 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 8.34 / Avg: 8.36 / Max: 8.39Min: 102.21 / Avg: 102.66 / Max: 103.24

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 346.8713.26
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050Min: 46.84 / Avg: 46.87 / Max: 46.93Min: 13.18 / Avg: 13.26 / Max: 13.39

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760130060090012001500SE +/- 0.35, N = 3SE +/- 3.61, N = 3674.261200.10
MinAvgMaxZen 4C - EPYC 8534PN1498173Zen 1 - EPYC 7601268452713OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8797 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 47168 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 76012004006008001000Min: 673.57 / Avg: 674.26 / Max: 674.66Min: 1193.93 / Avg: 1200.1 / Max: 1206.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601150300450600750SE +/- 1.12, N = 3SE +/- 1.27, N = 3696.51131.76
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601120240360480600Min: 694.59 / Avg: 696.51 / Max: 698.48Min: 129.5 / Avg: 131.76 / Max: 133.87

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150SE +/- 0.07, N = 3SE +/- 1.16, N = 345.88121.21
MinAvgMaxZen 4C - EPYC 8534PN14120157Zen 1 - EPYC 7601265568712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 6159 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 33693 Joules per run.
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 4C - EPYC 8534PNZen 1 - EPYC 760120406080100Min: 45.76 / Avg: 45.88 / Max: 45.99Min: 119.27 / Avg: 121.21 / Max: 123.27

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-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76011122334455SE +/- 0.04, N = 3SE +/- 0.04, N = 350.279.82
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.13430.26860.40290.53720.67150.5970.019
MinAvgMaxZen 4C - EPYC 8534PN13.684.2118.3Zen 1 - EPYC 7601262.6524.0574.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1402804205607001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4600 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 100437 Joules per run.
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050Min: 50.22 / Avg: 50.27 / Max: 50.34Min: 9.78 / Avg: 9.82 / Max: 9.89

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76011020304050SE +/- 0.15, N = 3SE +/- 0.12, N = 345.1326.72MIN: 43.52 / MAX: 46.26MIN: 15.15 / MAX: 28.15
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.15460.30920.46380.61840.7730.6870.043
MinAvgMaxZen 4C - EPYC 8534PN136699Zen 1 - EPYC 7601263620701OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 2781 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 31624 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 7601918273645Min: 44.87 / Avg: 45.13 / Max: 45.37Min: 26.5 / Avg: 26.72 / Max: 26.93

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240SE +/- 0.11, N = 3SE +/- 0.22, N = 336.5621.21MIN: 35.25 / MAX: 37.29MIN: 13.9 / MAX: 22.04
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 76010.0880.1760.2640.3520.440.3910.032
MinAvgMaxZen 4C - EPYC 8534PN1393106Zen 1 - EPYC 7601261653699OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 5763 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 67923 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 4C - EPYC 8534PNZen 1 - EPYC 7601816243240Min: 36.37 / Avg: 36.56 / Max: 36.75Min: 20.77 / Avg: 21.21 / Max: 21.49

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: Monero - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KSE +/- 8.43, N = 3SE +/- 58.63, N = 320716.57044.21. (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: Monero - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150140.2810.86
MinAvgMaxZen 4C - EPYC 8534PN14148165Zen 1 - EPYC 7601264649683OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 7925 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 97284 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KMin: 20701.8 / Avg: 20716.53 / Max: 20731Min: 6940.1 / Avg: 7044.2 / Max: 71431. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76018K16K24K32K40KSE +/- 114.17, N = 3SE +/- 27.32, N = 339663.310414.71. (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: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 760160120180240300259.2515.73
MinAvgMaxZen 4C - EPYC 8534PN15153180Zen 1 - EPYC 7601264662706OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 4692 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 69064 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76017K14K21K28K35KMin: 39454 / Avg: 39663.27 / Max: 39847Min: 10369.8 / Avg: 10414.67 / Max: 10464.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KSE +/- 7.38, N = 3SE +/- 75.94, N = 1220699.56957.21. (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: CryptoNight-Femto UPX2 - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150136.9210.81
MinAvgMaxZen 4C - EPYC 8534PN15151167Zen 1 - EPYC 7601227644682OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8063 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 97753 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KMin: 20685.1 / Avg: 20699.5 / Max: 20709.5Min: 6242.2 / Avg: 6957.23 / Max: 71831. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KSE +/- 174.63, N = 3SE +/- 21.41, N = 320541.87081.01. (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: CryptoNight-Heavy - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150135.4310.98
MinAvgMaxZen 4C - EPYC 8534PN15152168Zen 1 - EPYC 7601266645679OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8191 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 96304 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KMin: 20192.6 / Avg: 20541.77 / Max: 20723.2Min: 7038.4 / Avg: 7081.03 / Max: 7105.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KSE +/- 3.75, N = 3SE +/- 60.77, N = 1220720.86937.91. (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: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 7601306090120150135.7110.77
MinAvgMaxZen 4C - EPYC 8534PN15153168Zen 1 - EPYC 7601266644680OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20040060080010001. Zen 4C - EPYC 8534PN: Approximate power consumption of 8143 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 98059 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76014K8K12K16K20KMin: 20713.4 / Avg: 20720.83 / Max: 20725.4Min: 6560.3 / Avg: 6937.85 / Max: 7182.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76019001800270036004500SE +/- 5.88, N = 3SE +/- 6.67, N = 34376.01070.11. (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: GhostRider - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 760181624324035.2521.914
MinAvgMaxZen 4C - EPYC 8534PN14.9124.1127.7Zen 1 - EPYC 7601265.4559.1586.0OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor1603204806408001. Zen 4C - EPYC 8534PN: Approximate power consumption of 28965 Joules per run.2. Zen 1 - EPYC 7601: Approximate power consumption of 523150 Joules per run.
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 4C - EPYC 8534PNZen 1 - EPYC 76018001600240032004000Min: 4367.9 / Avg: 4375.97 / Max: 4387.4Min: 1059.2 / Avg: 1070.1 / Max: 1082.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsZen 4C - EPYC 8534PNZen 1 - EPYC 76015001000150020002500180.522562.10

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringZen 4C - EPYC 8534PNZen 1 - EPYC 7601140280420560700Min: 7.2 / Avg: 112.32 / Max: 180Min: 134.19 / Avg: 579.81 / Max: 789.58

187 Results Shown

nginx:
  500
  1000
OpenSSL:
  RSA4096:
    sign/s
    verify/s
  SHA256:
    byte/s
  SHA512:
    byte/s
  AES-128-GCM:
    byte/s
  AES-256-GCM:
    byte/s
  ChaCha20:
    byte/s
  ChaCha20-Poly1305:
    byte/s
Apache HTTP Server
Apache IoTDB:
  500 - 100 - 200 - 100:
    point/sec
    Average Latency
  500 - 100 - 200 - 400:
    point/sec
    Average Latency
  500 - 100 - 500 - 100:
    point/sec
    Average Latency
  500 - 100 - 500 - 400:
    point/sec
    Average Latency
  500 - 100 - 800 - 100:
    point/sec
    Average Latency
  500 - 100 - 800 - 400:
    point/sec
    Average Latency
  800 - 100 - 200 - 100:
    point/sec
    Average Latency
  800 - 100 - 200 - 400:
    point/sec
    Average Latency
  800 - 100 - 500 - 100:
    point/sec
    Average Latency
  800 - 100 - 500 - 400:
    point/sec
    Average Latency
  800 - 100 - 800 - 100:
    point/sec
    Average Latency
  800 - 100 - 800 - 400:
    point/sec
    Average Latency
DuckDB:
  IMDB
  TPC-H Parquet
Apache Cassandra
Speedb:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Redis 7.0.12 + memtier_benchmark:
  Redis - 100 - 1:10
  Redis - 100 - 1:5
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Node.js Compilation
Timed Gem5 Compilation
Timed FFmpeg Compilation
QuantLib
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
  Homogeneous Halfspace
  Mount St. Helens
  Tomographic Model
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400
GPAW
LAMMPS Molecular Dynamics Simulator
CloverLeaf:
  clover_bm64_short
  clover_bm16
Kripke
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
NAMD
GROMACS
Quicksilver:
  CORAL2 P1
  CORAL2 P2
  CTS2
Y-Cruncher:
  500M
  1B
ACES DGEMM
Timed MrBayes Analysis
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Crown
Intel Open Image Denoise
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
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
Chaos Group V-RAY
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
FFmpeg:
  libx265 - Live
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 4K
rav1e:
  10
  6
  5
  1
x265
uvg266:
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
TensorFlow
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 256 - ResNet-50
Xmrig:
  Monero - 1M
  Wownero - 1M
  CryptoNight-Femto UPX2 - 1M
  CryptoNight-Heavy - 1M
  KawPow - 1M
  GhostRider - 1M
Meta Performance Per Watts:
  Performance Per Watts
  Phoronix Test Suite System Monitoring

Zen 1 - EPYC 7601

Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, 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 6 January 2024 22:07 by user phoronix.

Zen 4C - EPYC 8534PN

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: 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, 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 8 January 2024 13:44 by user phoronix.