tr

AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB 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 2311098-NE-TR860765996
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a
November 07 2023
  20 Hours, 53 Minutes
b
November 09 2023
  19 Hours, 54 Minutes
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  20 Hours, 23 Minutes
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a

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
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 no microcode + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

b

Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

trOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads)ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS)AMD Starship/Matisse128GB2048GB SOLIDIGM SSDPFKKW020X7ASUS NVIDIA NV106 2GBAMD Starship/MatisseVA24312 x Intel X550 + Intel Wi-Fi 6 AX200Ubuntu 23.106.5.0-10-generic (x86_64)GNOME Shell 45.0X Server + Waylandnouveau4.3 Mesa 23.2.1-1ubuntu3GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionTr BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - NONE / relatime,rw / Block Size: 4096- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)- Python 3.11.6- 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 no microcode + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+70.1%+70.1%+140.2%+140.2%+210.3%+210.3%+280.4%+280.4%280.5%94.8%80.5%73.4%63.3%54.6%47.2%46.4%17.4%16.6%16.5%11.3%9.7%9%7.7%7.4%7.1%6.6%6.4%6.2%5.4%5.2%5.2%5.1%5%3.8%3.7%3.6%3.5%3.5%3.4%3.3%3.2%3.2%3.1%2.9%2.9%2.8%2.5%2.5%2.5%2.4%2.3%2.3%2.2%2.2%2.2%2.2%2.1%2%2%CPU-v3-v3 - mobilenet-v3D.B.s - f32 - CPU166.9%100 - 800 - Read Write143.6%100 - 800 - Read Write - Average Latency143.6%100 - 1000 - Read Write - Average Latency120.4%100 - 1000 - Read Write120.4%CPU-v2-v2 - mobilenet-v2CPU - alexnetFile Status - 20 - 100000D.B.s - u8s8f32 - CPUIP Shapes 1D - f32 - CPU57.6%CPU - FastestDetCPU - regnety_400m51.9%CPU - efficientnet-b050.5%CPU - yolov4-tinyCPU - shufflenet-v2IP Shapes 3D - f32 - CPU44.3%IP Shapes 1D - u8s8f32 - CPU31.8%IP Shapes 3D - u8s8f32 - CPU29.4%CPU - googlenet27.6%D.B.s - u8s8f32 - CPU26.3%OpenMP HotSpot3D21%CPU - mnasnet17.6%CPU - squeezenet_ssdCPU - vision_transformerCPU - vgg16Context Switching1 - 500 - Read Write - Average Latency11.2%1 - 500 - Read Write11.1%CPU - blazeface100 - 100 - 800 - 1009.3%EP.DG.C.S.F8 - Compression Speed1 - 1000 - Read Write7.3%1 - 1000 - Read Write - Average Latency7.2%CPU - mobilenetggml-base.en - 2.S.o.t.U6.9%D.RR.N.N.I - f32 - CPUDust 2D tau100.0e.G.B.S - 2406.2%200 - 100 - 800 - 1005.6%Preset 8 - Bosphorus 1080pLiH_ae_MSD1 - 800 - Read Write - Average Latency1 - 800 - Read WriteC.B.S.A - f32 - CPUFused Multiply-Add4.9%500 - 100 - 800 - 4004.5%OpenMP LavaMD4.3%SHA5124.2%Read While Writing4.1%100 - 100 - 800 - 1003.9%blosclz shuffle - 8MB3.9%Bosphorus 1080p - Faster1.R.H.D.F.R.C.CVMAF Optimized - Bosphorus 4KH4_aeCPU - resnet18Bumper Beamclover_bmForkingR.N.N.I - u8s8f32 - CPU2blosclz bitshuffle - 256MB3%Bosphorus 1080p - Very Fast3%C.P.D.T3%800 - 100 - 200 - 4003%2002.9%100 - 100 - 200 - 100144 144 144 - 60500 - 100 - 500 - 4002.8%Preset 4 - Bosphorus 1080p2.8%blosclz bitshuffle - 32MB2.8%Create - 20 - 1000002.8%Preset 12 - Bosphorus 4KMutex2.7%CPU - 32 - GoogLeNet2.6%800 - 100 - 800 - 4002.6%SP.BUnix MakefilesI.a.F.S.I.D.C500 - 100 - 500 - 100blosclz bitshuffle - 64MB2.4%Bosphorus 1080p - Fast200 - 100 - 200 - 1002.3%B.S.o.W2.3%3, Long Mode - Compression Speed2.3%H.E.R.F.I - CPUH.E.R.F.I - CPU100 - 500 - Read Write - Average Latency2.2%100 - 500 - Read Write2.2%O_ae_pyscf_UHFMount St. Helens2.2%blosclz noshuffle - 16MBVMAF Optimized - Bosphorus 1080pD.B.s - f32 - CPU200 - 100 - 800 - 1002%12 - D.S2%19, Long Mode - D.S500 - 100 - 200 - 100NCNNoneDNNPostgreSQLPostgreSQLPostgreSQLPostgreSQLNCNNNCNNApache HadooponeDNNoneDNNNCNNNCNNNCNNNCNNNCNNoneDNNoneDNNoneDNNNCNNoneDNNRodiniaNCNNNCNNNCNNNCNNStress-NGPostgreSQLPostgreSQLNCNNApache IoTDBNAS Parallel BenchmarksStress-NGZstd CompressionPostgreSQLPostgreSQLNCNNWhisper.cpp7-Zip CompressiononeDNNMonte Carlo Simulations of Ionised NebulaeeasyWaveApache IoTDBSVT-AV1QMCPACKPostgreSQLPostgreSQLoneDNNStress-NGApache IoTDBRodiniaOpenSSLRocksDBApache IoTDBC-BloscVVenCClickHouseSVT-VP9QMCPACKNCNNOpenRadiossCloverLeafStress-NGoneDNNSQLiteC-BloscKvazaarOpenRadiossApache IoTDBnginxApache IoTDBHigh Performance Conjugate GradientApache IoTDBSVT-AV1C-BloscApache HadoopSVT-AV1Stress-NGTensorFlowApache IoTDBNAS Parallel BenchmarksTimed LLVM CompilationOpenRadiossApache IoTDBC-BloscVVenCApache IoTDBOpenRadiossZstd CompressionOpenVINOOpenVINOPostgreSQLPostgreSQLQMCPACKSPECFEM3DC-BloscSVT-VP9oneDNNApache IoTDBZstd CompressionZstd CompressionApache IoTDBab

tropenradioss: Ford Taurus 10Mnwchem: C240 Buckyballhpcg: 160 160 160 - 60cloverleaf: clover_bm16build-gcc: Time To Compilewhisper-cpp: ggml-medium.en - 2016 State of the Unionhpcg: 144 144 144 - 60openvkl: vklBenchmarkCPU ISPChpcg: 104 104 104 - 60openvkl: vklBenchmarkCPU Scalaropenradioss: Chrysler Neon 1Mbuild-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlyeasywave: e2Asean Grid + BengkuluSept2007 Source - 2400libxsmm: 128tensorflow: CPU - 64 - ResNet-50whisper-cpp: ggml-small.en - 2016 State of the Unionbuild-llvm: Unix Makefilesbuild-llvm: Ninjaopenradioss: INIVOL and Fluid Structure Interaction Drop Containerqmcpack: O_ae_pyscf_UHFlibxsmm: 256build-nodejs: Time To Compilebuild-gem5: Time To Compileclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheqmcpack: Li2_STO_aencnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetospray-studio: 3 - 4K - 32 - Path Tracer - CPUtensorflow: CPU - 32 - ResNet-50openssl: AES-256-GCMopenssl: SHA512openssl: SHA256openssl: ChaCha20-Poly1305openssl: ChaCha20openssl: AES-128-GCMeasywave: e2Asean Grid + BengkuluSept2007 Source - 1200qmcpack: FeCO6_b3lyp_gmsospray-studio: 2 - 4K - 32 - Path Tracer - CPUbuild-godot: Time To Compileapache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400ospray-studio: 1 - 4K - 32 - Path Tracer - CPUapache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100openradioss: Bird Strike on Windshieldospray: particle_volume/scivis/real_timewhisper-cpp: ggml-base.en - 2016 State of the Unionblender: Pabellon Barcelona - CPU-Onlyospray: particle_volume/pathtracer/real_timepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writepgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 1 - 1000 - Read Write - Average Latencypgbench: 1 - 1000 - Read Writepgbench: 1 - 800 - Read Write - Average Latencypgbench: 1 - 800 - Read Writepgbench: 1 - 500 - Read Write - Average Latencypgbench: 1 - 500 - Read Writepgbench: 1 - 1000 - Read Only - Average Latencypgbench: 1 - 1000 - Read Onlypgbench: 1 - 800 - Read Only - Average Latencypgbench: 1 - 800 - Read Onlypgbench: 1 - 500 - Read Only - Average Latencypgbench: 1 - 500 - Read Onlycassandra: Writestensorflow: CPU - 64 - GoogLeNetblender: Classroom - CPU-Onlyapache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400qmcpack: LiH_ae_MSDapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 100openradioss: Bumper Beamcloverleaf: clover_bm64_shortonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUmocassin: Dust 2D tau100.0ospray: particle_volume/ao/real_timeapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400ospray-studio: 3 - 4K - 16 - Path Tracer - CPUtensorflow: CPU - 16 - ResNet-50apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100onednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUvvenc: Bosphorus 4K - Fastnginx: 1000nginx: 500nginx: 200svt-hevc: 1 - Bosphorus 4Kospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUopenradioss: Rubber O-Ring Seal Installationospray-studio: 2 - 4K - 1 - Path Tracer - CPUapache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 200 - 400ospray-studio: 1 - 4K - 1 - Path Tracer - CPUrocksdb: Seq Fillospray-studio: 3 - 4K - 1 - Path Tracer - CPUapache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 100rodinia: OpenMP HotSpot3Dspecfem3d: Water-layered Halfspaceospray-studio: 3 - 1080p - 16 - Path Tracer - CPUcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedapache-iotdb: 200 - 100 - 800 - 100apache-iotdb: 200 - 100 - 800 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 200 - 400ospray: gravity_spheres_volume/dim_512/scivis/real_timeapache-iotdb: 200 - 100 - 500 - 100apache-iotdb: 200 - 100 - 500 - 100ospray: gravity_spheres_volume/dim_512/ao/real_timeospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUrodinia: OpenMP LavaMDapache-iotdb: 100 - 100 - 800 - 100apache-iotdb: 100 - 100 - 800 - 100ospray-studio: 1 - 1080p - 16 - Path Tracer - CPUcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedospray-studio: 2 - 1080p - 1 - Path Tracer - CPUspecfem3d: Layered Halfspaceospray-studio: 1 - 1080p - 1 - Path Tracer - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedospray: gravity_spheres_volume/dim_512/pathtracer/real_timecompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedapache-iotdb: 100 - 100 - 500 - 100apache-iotdb: 100 - 100 - 500 - 100compress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedtensorflow: CPU - 32 - GoogLeNetapache-iotdb: 200 - 100 - 200 - 100apache-iotdb: 200 - 100 - 200 - 100sqlite-speedtest: Timed Time - Size 1,000openvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUrocksdb: Rand Fill Syncopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUjohn-the-ripper: MD5openvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUnpb: SP.Copenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUrocksdb: Update Randrocksdb: Rand Fillrocksdb: Read Rand Write Randopenssl: RSA4096openssl: RSA4096rocksdb: Read While Writingjohn-the-ripper: HMAC-SHA512rocksdb: Rand Readoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyapache-iotdb: 100 - 100 - 200 - 100apache-iotdb: 100 - 100 - 200 - 100blender: Fishy Cat - CPU-Onlycloverleaf: clover_bmrodinia: OpenMP CFD Solverospray-studio: 3 - 1080p - 32 - Path Tracer - CPUblosc: blosclz noshuffle - 256MBtensorflow: CPU - 64 - AlexNetopenradioss: Cell Phone Drop Testospray-studio: 2 - 1080p - 32 - Path Tracer - CPUbuild-linux-kernel: defconfigospray-studio: 1 - 1080p - 32 - Path Tracer - CPUvvenc: Bosphorus 4K - Fasternpb: EP.Dblender: BMW27 - CPU-Onlyquantlib: Multi-Threadedblosc: blosclz bitshuffle - 256MBblosc: blosclz shuffle - 256MBnpb: BT.Chadoop: Rename - 20 - 100000hadoop: Delete - 20 - 100000uvg266: Bosphorus 4K - Slowhadoop: Open - 20 - 100000hadoop: File Status - 20 - 100000specfem3d: Homogeneous Halfspaceblosc: blosclz noshuffle - 128MBuvg266: Bosphorus 4K - Mediumhadoop: Create - 20 - 100000rodinia: OpenMP Leukocytelibxsmm: 64rodinia: OpenMP Streamclusterstress-ng: IO_uringlibxsmm: 32svt-av1: Preset 4 - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragon Objblosc: blosclz bitshuffle - 128MBvvenc: Bosphorus 1080p - Fastblosc: blosclz shuffle - 128MBtensorflow: CPU - 16 - GoogLeNetblosc: blosclz noshuffle - 64MBspecfem3d: Tomographic Modeltensorflow: CPU - 32 - AlexNetembree: Pathtracer - Asian Dragon Objqmcpack: simple-H2Okvazaar: Bosphorus 4K - Slowstress-ng: Cloningstress-ng: MMAPstress-ng: Mallocstress-ng: MEMFDstress-ng: Atomicjohn-the-ripper: WPA PSKstress-ng: CPU Cachekvazaar: Bosphorus 4K - Mediumjohn-the-ripper: bcryptstress-ng: Zlibstress-ng: Pthreadjohn-the-ripper: Blowfishstress-ng: NUMAstress-ng: SENDFILEstress-ng: Socket Activitystress-ng: x86_64 RdRandstress-ng: Matrix Mathstress-ng: Context Switchingstress-ng: Function Callstress-ng: Vector Floating Pointstress-ng: Matrix 3D Mathstress-ng: Futexstress-ng: Floating Pointstress-ng: Memory Copyingstress-ng: Semaphoresstress-ng: Hashstress-ng: Glibc Qsort Data Sortingstress-ng: Wide Vector Mathstress-ng: Mixed Schedulerstress-ng: Vector Shufflestress-ng: AVX-512 VNNIstress-ng: Vector Mathstress-ng: CPU Stressstress-ng: AVL Treestress-ng: Forkingstress-ng: Cryptostress-ng: Mutexstress-ng: Pollstress-ng: Pipestress-ng: System V Message Passingstress-ng: Glibc C String Functionsstress-ng: Fused Multiply-Addoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyspecfem3d: Mount St. Helensoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlynpb: LU.Ccompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingnpb: IS.Dblosc: blosclz noshuffle - 32MBblosc: blosclz bitshuffle - 64MBblosc: blosclz shuffle - 64MBembree: Pathtracer ISPC - Crownquantlib: Single-Threadedembree: Pathtracer ISPC - Asian Dragonsvt-hevc: 1 - Bosphorus 1080pblosc: blosclz noshuffle - 16MBembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUblosc: blosclz noshuffle - 8MBx265: Bosphorus 4Kqmcpack: H4_aeblosc: blosclz bitshuffle - 32MBtensorflow: CPU - 16 - AlexNetblosc: blosclz shuffle - 32MBsqlite: 8vvenc: Bosphorus 1080p - Fasterstream: Copyblosc: blosclz shuffle - 8MBblosc: blosclz shuffle - 16MBblosc: blosclz bitshuffle - 8MBblosc: blosclz bitshuffle - 16MBuvg266: Bosphorus 4K - Very Fastonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUkvazaar: Bosphorus 4K - Very Fastsvt-av1: Preset 4 - Bosphorus 1080puvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 1080p - Slowsqlite: 4mocassin: Gas HII40uvg266: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 1080p - Mediumnpb: FT.Ckvazaar: Bosphorus 4K - Super Fastnpb: SP.Bnpb: CG.Csvt-av1: Preset 8 - Bosphorus 4Ksqlite: 2kvazaar: Bosphorus 1080p - Slowonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Ultra Fastx264: Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 4Ksqlite: 1svt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Kx265: Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080ponednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUeasywave: e2Asean Grid + BengkuluSept2007 Source - 240svt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Knpb: MG.Csvt-hevc: 10 - Bosphorus 4Kuvg266: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastnpb: EP.Conednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Super Fastx264: Bosphorus 1080pkvazaar: Bosphorus 1080p - Ultra Fastsvt-hevc: 7 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pstream: Addstream: Triadstream: Scaleab31662.87357011.8175937.87906.348888.5246911.784452512.0751288576.19520.784474.23432.809537.718.89367.30603351.297298.738265.44257.31619247.942245.475298.05293.77274.47210.9512.77231.5824.4317.1733.3943.21713.6141.8422.282.9517.5713.1323.6326.116.0118.6217726219.65121391741680134088908804165377886082745285840123425530680132458672400166.513166.38152912162.602282.3610311503014962476.8399639931149.969.93418147.25409148.97175.7370.387129063323.594239017.412459450.79612560240.62912726939.868506701504.4676651103.871725415.48112030.69114477300.5614273340.34146856321561356.93124.71203.7790156510125.4272.979176128553.348913812880.9292191074110.95107.777834.317757.37675.29109.71710.0576205.79779680899040619.5258.53792517084811.24431.44308.926.668130670.29132166.25137957.756.77784467777885.494632114.16629296214552567357536830.366171074575.78375.987330693216621488.79.27103.836601685538.9847212437145.44464656314.3523885.36504139574.6955318684135768.277142.9743427177183341563.817.3116964.13323325111501579.277.551624.42990.11755.3854.3748.8215.971660.3658.57.475471819.6248.4138.01291501081796.9784.860.8670.752459715061.39140.7585.19169.9770.53170.2370.4113.61880.4526.81447.224789878.11306.9980.54297.7469.33172.911.611032.697112383.913062.060.5542663.0320.1596.3524400.17151599.185.682108.5917.65679.251.0223339.7351074152382121454834841917413.14617736180540001452560290.51123.391337984758.3559.4258.11475684948.4133.6246.774179551.7864112112.0062633.7848.4101118.45751.65776.862863.84345663672413.357471346511638.8765953986644.514.973127939.337315.836.4942252032.27162.25.05628.49548104.518.3358198.458.628342.530.324154763118.0231.527730.81219.324702.23297.9229708642.78397.05196.84577661361420.5919.86252924029.26100016.8125277380.81329200.0618841.576949614.18129845.954803177.9622601.266891.413732.123131000.159738.898525.0143582244.066322695.54737.41925723.0320266.3919219.261350185.39210549.0770228.2279.3545021.8667835.648070540.932739015.7513012555.2813970811.8330660102.9772143203.621.0327.470090541.0471297.961680831964621626.4710219.11063110740.630.70213545.332.793826.812068.334.952534.887415.7788.4227312665.528.4720.8413355.599.6513381.620.10832.37164896.215164.315169.316072.815922.238.3416.189410.322440.8313.10841.5743.8913.51213.26947.8750.2439511.9854.1235080.8414846.4777.10110.0862.167.156370.58617865.5866.6767.393.678.138117.63105.587.82136.79126.12610.95389.725014.963173.545170.98834749.27185.24142.39147.3155.73167.652819.633.562422.77464206.73231.86232.33332.59390.92385460.56521.248604.645584.86985570199.162703.731568.83526.211.9273936.22903.44900.3353112.120552912.0424286581.15517.032473.41430.13954019.03361.46562342.615298.923259.07251.77611.2246.833244.689299.37293.38284.63209.548.26198.6137.114.6322.6942.969.4213.1535.9128.442.6926.4415.4416.146.868.2217.3817591519.68121341157650128717517304159733510082789783190123417875470132491461970168.751163.51151941161.373289.6410217485514910275.43101308261153.399.94526157.4342148.2173.8210.39128303251.9941923342.424188570.79412590940.627127674110.088495651613.4346201049.641762461.89310830.69114465060.55714371510.346144531521762057.7124.18204.3190910792119.16285.349120068553.038869332081.0391813947107.3107.747694.077832.077682.64103.34410.1084211.63777751258995619.4857.16802305174521.664295.224339.326.746130170.09131826.31134010.326.78786907755383.944634117.53617852354561562039537630.326199762691.70376.446433843215041518.29.2109.636470397638.2347738065145.56462442084.403984.64507143454.6933918587134771.245156.2841795296183511570.717.3116565.06746555411501592.167.481619.83044.71766.9917.1747.6516.011640.36447.462181784.2247.9137.3129282060178679559.372.372434640761.072140.285.46170.8970.16170.4370.3513.52886.6226.86446.464789876.4313.979.42301.9569.86171.6111.571035.977131643.93069.680.5542770.719.77606.2124381.5414.991600.315.652117.0717.58681.991.0223230.575082145190112149948484700.37418.14434823178180001454178300.51119.91351335558.6157.5157.776474294917.3134.0848.164212051.6714108812.1842871.6648.08100146.35581.85705.163259.23346143629813.3258479580645238.7587105636695.8153043238.976315.236.3032255307.551635.01628.46668056.618.7628078.559.488369.430.015128844118.0431.376531.27219.434708.68297.9829792020.95397.08199.69575611352360.4519.86253274024.1899776.4425234380.65335277.718923.686977389.16130745.185347449.2622617.2466994.743727.553184742.799831.788549.4743835038.746336112.65738.21923677.8420370.219239.651354114.89210762.2570596.28279.5246465.5968002.697857209.562741243.1313250944.7713973199.8733023477.6268790290.881.0328.0713043081.0471624.541791271933901630.7610351.510382.510668.331.04743536.732.671526.8212332.335.159934.790615.45295.1582812827.728.8820.1312988.499.1613404.620.29933.59164274.714597.415408.51577415943.538.721.339916.269140.7112.74741.5744.4713.70613.28448.4650.5139854.7953.9635972.6114955.3578.29.77362.9710.32340.75877366.6266.4867.497.088.034117.99106.5388.34136.35132.96110.7529.25825.269175.416175.72534538.23185.36144.45143.04155.71168.612861.569.50783.50493205.53231.15229.07331.31399.47385.27461.01528.997613.474584.2369373.769457.161955OpenBenchmarking.org

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: Ford Taurus 10Mba7K14K21K28K35K31568.8031662.87

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 Buckyballba80016002400320040003526.23570.01. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 160 160 160 - RT: 60ba3691215SE +/- 0.13, N = 311.9311.821. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

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_bm16ba2004006008001000936.22937.871. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) open-source compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 13.2Time To Compileba2004006008001000903.44906.35

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-medium.en - Input: 2016 State of the Unionba2004006008001000900.34888.521. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60ba3691215SE +/- 0.14, N = 312.1211.781. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCba110220330440550529525MIN: 47 / MAX: 6787MIN: 47 / MAX: 6753

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 60ba3691215SE +/- 0.12, N = 612.0412.081. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarba60120180240300286288MIN: 22 / MAX: 5354MIN: 22 / MAX: 5321

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 1Mba130260390520650581.15576.19

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: allmodconfigba110220330440550517.03520.78

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyba100200300400500473.41474.23

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: 2400ba90180270360450430.14432.811. (CXX) g++ options: -O3 -fopenmp

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128ba120240360480600540.0537.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

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: 64 - Model: ResNet-50ba51015202519.0318.89

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-small.en - Input: 2016 State of the Unionba80160240320400361.47367.311. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

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: Unix Makefilesba80160240320400342.62351.30

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjaba70140210280350298.92298.74

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: INIVOL and Fluid Structure Interaction Drop Containerba60120180240300259.07265.44

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFba60120180240300251.77257.311. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256ba130260390520650611.2619.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

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 Compileba50100150200250246.83247.94

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 Compileba50100150200250244.69245.48

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runba70140210280350299.37298.05MIN: 22.82 / MAX: 6000MIN: 22.73 / MAX: 6000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runba60120180240300293.38293.77MIN: 22.65 / MAX: 3333.33MIN: 22.46 / MAX: 4000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cacheba60120180240300284.63274.47MIN: 16.6 / MAX: 5000MIN: 21.36 / MAX: 3333.33

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeba50100150200250209.54210.951. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetba36912158.2612.77MIN: 6.18 / MAX: 156.85MIN: 6.91 / MAX: 368.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerba50100150200250198.61231.58MIN: 131.13 / MAX: 589.43MIN: 137.7 / MAX: 1126.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mba91827364537.1024.43MIN: 17.07 / MAX: 1371.67MIN: 17.65 / MAX: 150.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdba4812162014.6317.17MIN: 12.69 / MAX: 26.04MIN: 12.44 / MAX: 95.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyba81624324022.6933.39MIN: 21.28 / MAX: 38.77MIN: 21.14 / MAX: 535.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50ba102030405042.9643.20MIN: 17.49 / MAX: 512.27MIN: 16.39 / MAX: 675.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetba481216209.4217.00MIN: 8.15 / MAX: 11.97MIN: 7.67 / MAX: 474.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18ba369121513.1513.61MIN: 8.09 / MAX: 73.51MIN: 8.3 / MAX: 117.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16ba102030405035.9141.84MIN: 26.4 / MAX: 273.56MIN: 27.23 / MAX: 449.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetba71421283528.4422.28MIN: 13.51 / MAX: 635.93MIN: 14.13 / MAX: 139.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceba0.66381.32761.99142.65523.3192.692.95MIN: 2.31 / MAX: 8.97MIN: 2.21 / MAX: 21.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0ba61218243026.4417.57MIN: 7.51 / MAX: 925.05MIN: 7.73 / MAX: 723.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetba4812162015.4413.13MIN: 4.41 / MAX: 1373.16MIN: 4.46 / MAX: 1049.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2ba61218243016.1423.63MIN: 6.2 / MAX: 1027.67MIN: 6.32 / MAX: 1872.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ba6121824306.8626.10MIN: 6.31 / MAX: 8.08MIN: 4.41 / MAX: 1148.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2ba481216208.2216.01MIN: 4.84 / MAX: 276.84MIN: 4.97 / MAX: 831.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetba51015202517.3818.62MIN: 13.38 / MAX: 76.78MIN: 13.29 / MAX: 43.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUba40K80K120K160K200K175915177262

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: 32 - Model: ResNet-50ba51015202519.6819.65

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.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMba30000M60000M90000M120000M150000M1213411576501213917416801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512ba3000M6000M9000M12000M15000M12871751730134088908801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256ba9000M18000M27000M36000M45000M41597335100416537788601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305ba20000M40000M60000M80000M100000M82789783190827452858401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20ba30000M60000M90000M120000M150000M1234178754701234255306801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMba30000M60000M90000M120000M150000M1324914619701324586724001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: 1200ba4080120160200168.75166.511. (CXX) g++ options: -O3 -fopenmp

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

X Y Z: 192 192 192 - RT: 60

a: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

b: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsba4080120160200163.51166.381. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

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: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUba30K60K90K120K150K151941152912

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compileba4080120160200161.37162.60

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400ba60120180240300289.64282.36MAX: 27997.68MAX: 27774.74

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400ba20M40M60M80M100M102174855103115030

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: 32 - Renderer: Path Tracer - Acceleration: CPUba30K60K90K120K150K149102149624

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba2040608010075.4376.83MAX: 24022.77MAX: 23969.69

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba20M40M60M80M100M10130826199639931

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: Bird Strike on Windshieldba306090120150153.39149.96

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: particle_volume/scivis/real_timeba36912159.945269.93418

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-base.en - Input: 2016 State of the Unionba306090120150157.43147.251. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyba306090120150148.20148.97

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: particle_volume/pathtracer/real_timeba4080120160200173.82175.74

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latencyba0.08780.17560.26340.35120.4390.3900.3871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Onlyba300K600K900K1200K1500K128303212906331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyba122436486051.9923.591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writeba9K18K27K36K45K19233423901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyba102030405042.4217.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writeba10K20K30K40K50K18857459451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyba0.17910.35820.53730.71640.89550.7940.7961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyba300K600K900K1200K1500K125909412560241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyba0.14150.2830.42450.5660.70750.6270.6291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyba300K600K900K1200K1500K127674112726931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latencyba369121510.0889.8681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Writeba11K22K33K44K55K49565506701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latencyba300600900120015001613.431504.471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Writeba1402804205607006206651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latencyba20040060080010001049.641103.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Writeba1603204806408007627251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latencyba100200300400500461.89415.481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 500 - Mode: Read Writeba30060090012001500108312031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latencyba0.15550.3110.46650.6220.77750.6910.6911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 1000 - Mode: Read Onlyba300K600K900K1200K1500K144650614477301. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latencyba0.1260.2520.3780.5040.630.5570.5601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 800 - Mode: Read Onlyba300K600K900K1200K1500K143715114273341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latencyba0.07790.15580.23370.31160.38950.3460.3401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1 - Clients: 500 - Mode: Read Onlyba300K600K900K1200K1500K144531514685631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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: Writesba50K100K150K200K250K217620215613

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: 64 - Model: GoogLeNetba132639526557.7056.93

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyba306090120150124.18124.71

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400ba4080120160200204.31203.77MAX: 27420.57MAX: 28079.46

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400ba20M40M60M80M100M9091079290156510

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDba306090120150119.16125.401. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400ba60120180240300285.34272.97MAX: 27459.7MAX: 27781.33

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400ba20M40M60M80M100M9120068591761285

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba122436486053.0353.34MAX: 24012.98MAX: 24055.64

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba20M40M60M80M100M8869332089138128

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba2040608010081.0380.92MAX: 11404.34MAX: 11487.72

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba20M40M60M80M100M9181394792191074

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: Bumper Beamba20406080100107.30110.95

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_shortba20406080100107.74107.771. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUba2K4K6K8K10K7694.077834.31MIN: 7140.54MIN: 7257.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUba2K4K6K8K10K7832.077757.30MIN: 7093.4MIN: 7171.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUba160032004800640080007682.647675.29MIN: 7324.21MIN: 7090.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2.02.73.3Input: Dust 2D tau100.0ba20406080100103.34109.721. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lz

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: particle_volume/ao/real_timeba369121510.1110.06

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400ba50100150200250211.63205.79MAX: 26697.43MAX: 27542.34

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400ba20M40M60M80M100M7777512577968089

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: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba20K40K60K80K100K8995690406

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-50ba51015202519.4819.52

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba132639526557.1658.53MAX: 11495.07MAX: 11473.92

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba20M40M60M80M100M8023051779251708

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUba100020003000400050004521.664811.20MIN: 4042.46MIN: 3780.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUba100020003000400050004295.224431.40MIN: 3730.18MIN: 3982.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUba90018002700360045004339.324308.92MIN: 3850.27MIN: 3624.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: Fastba2468106.7466.6681. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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: 1000ba30K60K90K120K150K130170.09130670.291. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500ba30K60K90K120K150K131826.31132166.251. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200ba30K60K90K120K150K134010.32137957.751. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4Kba2468106.786.771. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba20K40K60K80K100K7869078446

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba17K34K51K68K85K7755377778

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: Rubber O-Ring Seal Installationba2040608010083.9485.49

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: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUba1000200030004000500046344632

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400ba306090120150117.53114.16MAX: 27796.62MAX: 27085.42

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400ba13M26M39M52M65M6178523562929621

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: CPUba1000200030004000500045614552

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: Sequential Fillba120K240K360K480K600K5620395673571. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUba1200240036004800600053765368

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

X Y Z: 192 192 192 - RT: 1800

a: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

b: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba71421283530.3230.36MAX: 23958.84MAX: 23986.67

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba13M26M39M52M65M6199762661710745

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dba2040608010091.7075.781. (CXX) g++ options: -O2 -lOpenCL

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: Water-layered Halfspaceba2040608010076.4575.991. (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

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: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba5K10K15K20K25K2150421662

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedba300600900120015001518.21488.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedba36912159.209.271. (CC) gcc options: -O3 -pthread -lz -llzma

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba20406080100109.63103.83MAX: 24091.01MAX: 24115.48

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba14M28M42M56M70M6470397666016855

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba91827364538.2338.98MAX: 12732.42MAX: 12726.18

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba10M20M30M40M50M4773806547212437

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400ba306090120150145.56145.44MAX: 26546.04MAX: 27190.63

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400ba10M20M30M40M50M4624420846465631

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/scivis/real_timeba0.99091.98182.97273.96364.95454.403904.35238

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba2040608010084.6485.36MAX: 24104.59MAX: 24058.19

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba11M22M33M44M55M5071434550413957

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_timeba1.05652.1133.16954.2265.28254.693394.69553

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: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba4K8K12K16K20K1858718684

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUba3006009001200150013471357

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDba163248648071.2568.281. (CXX) g++ options: -O2 -lOpenCL

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba306090120150156.28142.97MAX: 26493.38MAX: 26023.68

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100ba9M18M27M36M45M4179529643427177

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: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUba4K8K12K16K20K1835118334

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedba300600900120015001570.71563.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedba4812162017.317.31. (CC) gcc options: -O3 -pthread -lz -llzma

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: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUba3006009001200150011651169

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 Halfspaceba153045607565.0764.131. (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

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: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUba200400600800100011501150

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUba300600900120015001592.161579.27MIN: 950.29 / MAX: 2096.55MIN: 1364.94 / MAX: 2085.131. (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 - Device: CPUba2468107.487.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speedba300600900120015001619.81624.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speedba70014002100280035003044.72990.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speedba4008001200160020001766.91755.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speedba2004006008001000917.1854.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUba160320480640800747.65748.82MIN: 473.01 / MAX: 1675.67MIN: 423.95 / MAX: 1513.411. (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: CPUba4812162016.0115.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speedba4008001200160020001640.31660.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speedba140280420560700644.0658.51. (CC) gcc options: -O3 -pthread -lz -llzma

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/pathtracer/real_timeba2468107.462187.47547

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedba4008001200160020001784.21819.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedba50100150200250247.9248.41. (CC) gcc options: -O3 -pthread -lz -llzma

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba306090120150137.31138.01MAX: 26713.08MAX: 26378.65

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100ba6M12M18M24M30M2928206029150108

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speedba4008001200160020001786.01796.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speedba2004006008001000795.0784.81. (CC) gcc options: -O3 -pthread -lz -llzma

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: 32 - Model: GoogLeNetba142842567059.3060.86

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba163248648072.3770.75MAX: 24026.47MAX: 24048.84

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba5M10M15M20M25M2434640724597150

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000ba142842567061.0761.391. (CC) gcc options: -O2 -lz

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUba306090120150140.20140.75MIN: 79.54 / MAX: 348.73MIN: 99.03 / MAX: 321.921. (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: CPUba2040608010085.4685.191. (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: CPUba4080120160200170.89169.97MIN: 87.67 / MAX: 290.45MIN: 91.34 / MAX: 276.041. (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: CPUba163248648070.1670.531. (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 FP32 - Device: CPUba4080120160200170.43170.23MIN: 110.56 / MAX: 287.24MIN: 91.75 / MAX: 282.421. (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 FP32 - Device: CPUba163248648070.3570.411. (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: CPUba369121513.5213.61MIN: 7.33 / MAX: 43.31MIN: 7.31 / MAX: 43.721. (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: CPUba2004006008001000886.62880.451. (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: CPUba61218243026.8626.81MIN: 18.24 / MAX: 74.06MIN: 18.94 / MAX: 86.761. (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: CPUba100200300400500446.46447.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 Fill Syncba10K20K30K40K50K47898478981. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUba2040608010076.4078.11MIN: 46.51 / MAX: 315.26MIN: 47.76 / MAX: 391.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUba70140210280350313.90306.991. (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 - Device: CPUba2040608010079.4280.54MIN: 49.44 / MAX: 180.71MIN: 53.41 / MAX: 188.391. (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 - Device: CPUba70140210280350301.95297.741. (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 - Device: CPUba163248648069.8669.33MIN: 20.19 / MAX: 169.39MIN: 19.1 / MAX: 176.011. (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 - Device: CPUba4080120160200171.61172.901. (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: CPUba369121511.5711.61MIN: 6.86 / MAX: 201.11MIN: 6.28 / MAX: 197.81. (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: CPUba20040060080010001035.971032.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5ba150K300K450K600K750K7131647112381. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUba0.87981.75962.63943.51924.3993.903.91MIN: 2.35 / MAX: 81.45MIN: 2.31 / MAX: 80.991. (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: CPUba70014002100280035003069.683062.061. (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: CPUba0.12380.24760.37140.49520.6190.550.55MIN: 0.32 / MAX: 17.5MIN: 0.31 / MAX: 17.081. (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: CPUba9K18K27K36K45K42770.7042663.031. (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 - Device: CPUba51015202519.7720.10MIN: 10.86 / MAX: 58.46MIN: 9.28 / MAX: 63.061. (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 - Device: CPUba130260390520650606.21596.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cba5K10K15K20K25K24381.5424400.171. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUba4812162014.9915.00MIN: 7.32 / MAX: 86.15MIN: 8.47 / MAX: 82.411. (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: CPUba300600900120015001600.311599.181. (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 - Device: CPUba1.2782.5563.8345.1126.395.655.68MIN: 2.89 / MAX: 40.95MIN: 2.85 / MAX: 98.821. (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 Retail FP16 - Device: CPUba50010001500200025002117.072108.591. (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 - Device: CPUba4812162017.5817.65MIN: 11.06 / MAX: 210.31MIN: 8.37 / MAX: 108.831. (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 - Device: CPUba150300450600750681.99679.251. (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 - Device: CPUba0.22950.4590.68850.9181.14751.021.02MIN: 0.57 / MAX: 28.23MIN: 0.56 / MAX: 219.931. (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 - Device: CPUba5K10K15K20K25K23230.5723339.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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: Update Randomba110K220K330K440K550K5082145107411. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random Fillba110K220K330K440K550K5190115238211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write Randomba500K1000K1500K2000K2500K214994821454831. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096ba100K200K300K400K500K484700.3484191.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096ba160032004800640080007418.17413.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: Read While Writingba1000K2000K3000K4000K5000K443482346177361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512ba4M8M12M16M20M17818000180540001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

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 Readba30M60M90M120M150M1454178301452560291. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyba0.11480.22960.34440.45920.5740.510.51

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba306090120150119.90123.39MAX: 26035.73MAX: 26107.26

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100ba3M6M9M12M15M1351335513379847

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyba132639526558.6158.35

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_bmba132639526557.5159.421. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverba132639526557.7858.111. (CXX) g++ options: -O2 -lOpenCL

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: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUba10K20K30K40K50K4742947568

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBba110022003300440055004917.34948.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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: 64 - Model: AlexNetba306090120150134.08133.62

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: Cell Phone Drop Testba112233445548.1646.77

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: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUba9K18K27K36K45K4212041795

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: defconfigba122436486051.6751.79

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: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUba9K18K27K36K45K4108841121

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: Fasterba369121512.1812.011. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dba60012001800240030002871.662633.781. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyba112233445548.0848.40

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-Threadedba20K40K60K80K100K100146.3101118.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBba120024003600480060005581.85751.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBba120024003600480060005705.15776.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cba14K28K42K56K70K63259.2362863.841. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Rename - Threads: 20 - Files: 100000ba7K14K21K28K35K3461434566

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 20 - Files: 100000ba8K16K24K32K40K3629836724

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: Slowba369121513.3213.30

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 20 - Files: 100000ba130K260K390K520K650K584795574713

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: File Status - Threads: 20 - Files: 100000ba200K400K600K800K1000K806452465116

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: Homogeneous Halfspaceba91827364538.7638.881. (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

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBba140028004200560070006695.86644.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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: Mediumba4812162015.0014.97

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 20 - Files: 100000ba7K14K21K28K35K3043231279

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyteba91827364538.9839.341. (CXX) g++ options: -O2 -lOpenCL

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64ba70140210280350315.2315.81. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterba81624324036.3036.491. (CXX) g++ options: -O2 -lOpenCL

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: IO_uringba500K1000K1500K2000K2500K2255307.552252032.271. (CXX) g++ options: -O2 -std=gnu99 -lc

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32ba4080120160200163.0162.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 4Kba1.13762.27523.41284.55045.6885.0165.0561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objba71421283528.4728.50MIN: 28.16 / MAX: 28.89MIN: 28.2 / MAX: 28.9

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBba2K4K6K8K10K8056.68104.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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 1080p - Video Preset: Fastba51015202518.7618.341. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBba2K4K6K8K10K8078.58198.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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: GoogLeNetba132639526559.4858.62

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBba2K4K6K8K10K8369.48342.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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: Tomographic Modelba71421283530.0230.321. (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

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: 32 - Model: AlexNetba306090120150118.04118.02

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objba71421283531.3831.53MIN: 31.04 / MAX: 31.77MIN: 31.13 / MAX: 32.12

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Oba71421283531.2730.811. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Slowba51015202519.4319.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Cloningba100020003000400050004708.684702.231. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MMAPba60120180240300297.98297.921. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mallocba6M12M18M24M30M29792020.9529708642.781. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MEMFDba90180270360450397.08397.051. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Atomicba4080120160200199.69196.841. (CXX) g++ options: -O2 -std=gnu99 -lc

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKba12K24K36K48K60K57561577661. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CPU Cacheba300K600K900K1200K1500K1352360.451361420.591. (CXX) g++ options: -O2 -std=gnu99 -lc

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Mediumba51015202519.8619.861. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptba5K10K15K20K25K25327252921. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Zlibba90018002700360045004024.184029.261. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Pthreadba20K40K60K80K100K99776.44100016.811. (CXX) g++ options: -O2 -std=gnu99 -lc

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfishba5K10K15K20K25K25234252771. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: NUMAba80160240320400380.65380.811. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: SENDFILEba70K140K210K280K350K335277.70329200.061. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Socket Activityba4K8K12K16K20K18923.6818841.571. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: x86_64 RdRandba1.5M3M4.5M6M7.5M6977389.166949614.181. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix Mathba30K60K90K120K150K130745.18129845.951. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Context Switchingba1.1M2.2M3.3M4.4M5.5M5347449.264803177.961. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Function Callba5K10K15K20K25K22617.2422601.201. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating Pointba14K28K42K56K70K66994.7466891.411. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix 3D Mathba80016002400320040003727.553732.121. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Futexba700K1400K2100K2800K3500K3184742.793131000.151. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating Pointba2K4K6K8K10K9831.789738.891. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Memory Copyingba2K4K6K8K10K8549.478525.011. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Semaphoresba9M18M27M36M45M43835038.7443582244.061. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Hashba1.4M2.8M4.2M5.6M7M6336112.656322695.541. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc Qsort Data Sortingba160320480640800738.21737.411. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector Mathba200K400K600K800K1000K923677.84925723.031. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mixed Schedulerba4K8K12K16K20K20370.2020266.391. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Shuffleba4K8K12K16K20K19239.6519219.261. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIba300K600K900K1200K1500K1354114.891350185.391. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Mathba50K100K150K200K250K210762.25210549.071. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CPU Stressba15K30K45K60K75K70596.2870228.201. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVL Treeba60120180240300279.52279.351. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Forkingba10K20K30K40K50K46465.5945021.861. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Cryptoba15K30K45K60K75K68002.6967835.641. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mutexba2M4M6M8M10M7857209.568070540.931. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Pollba600K1200K1800K2400K3000K2741243.132739015.751. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Pipeba3M6M9M12M15M13250944.7713012555.281. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: System V Message Passingba3M6M9M12M15M13973199.8713970811.831. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc C String Functionsba7M14M21M28M35M33023477.6230660102.971. (CXX) g++ options: -O2 -std=gnu99 -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Fused Multiply-Addba15M30M45M60M75M68790290.8872143203.621. (CXX) g++ options: -O2 -std=gnu99 -lc

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyba0.23180.46360.69540.92721.1591.031.03

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: Mount St. Helensba71421283528.0727.471. (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

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyba0.2340.4680.7020.9361.171.041.04

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cba15K30K45K60K75K71624.5471297.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

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: Decompression Ratingba40K80K120K160K200K1791271680831. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingba40K80K120K160K200K1933901964621. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dba4008001200160020001630.761626.471. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBba2K4K6K8K10K10351.510219.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

Time To Compile

a: The test quit with a non-zero exit status. E: build2-toolchain-0.15.0/libpkg-config/libpkg-config/bsdstubs.c:67:1: error: static declaration of ‘strlcat’ follows non-static declaration

b: The test quit with a non-zero exit status. E: build2-toolchain-0.15.0/libpkg-config/libpkg-config/bsdstubs.c:67:1: error: static declaration of ‘strlcat’ follows non-static declaration

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBba2K4K6K8K10K10382.510631.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 64MBba2K4K6K8K10K10668.310740.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownba71421283531.0530.70MIN: 30.4 / MAX: 32.01MIN: 30.14 / MAX: 31.43

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: Single-Threadedba80016002400320040003536.73545.31. (CXX) g++ options: -O3 -march=native -fPIE -pie

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonba81624324032.6732.79MIN: 32.25 / MAX: 33.25MIN: 32.3 / MAX: 33.68

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pba61218243026.8226.801. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBba3K6K9K12K15K12332.312068.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragonba81624324035.1634.95MIN: 34.63 / MAX: 35.8MIN: 34.41 / MAX: 35.71

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crownba81624324034.7934.89MIN: 34.01 / MAX: 35.65MIN: 34.05 / MAX: 35.93

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUba4812162015.4515.78MIN: 3.92MIN: 3.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUba2468105.158288.42273MIN: 1.03MIN: 0.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBba3K6K9K12K15K12827.712665.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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 4Kba71421283528.8828.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeba51015202520.1320.841. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBba3K6K9K12K15K12988.413355.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

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: AlexNetba2040608010099.1699.65

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBba3K6K9K12K15K13404.613381.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 8ba51015202520.3020.111. (CC) gcc options: -O2 -lz -lm

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 1080p - Video Preset: Fasterba81624324033.5932.371. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Stream

This is a benchmark of Stream, the popular system memory (RAM) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Copyba14K28K42K56K70K64274.764896.21. (CC) gcc options: -mcmodel=medium -O3 -march=native -fopenmp

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBba3K6K9K12K15K14597.415164.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBba3K6K9K12K15K15408.515169.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBba3K6K9K12K15K15774.016072.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBba3K6K9K12K15K15943.515922.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Fastba91827364538.7038.34

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUba51015202521.3416.19MIN: 0.77MIN: 0.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUba4812162016.2710.32MIN: 1.27MIN: 1.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Fastba91827364540.7140.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 1080pba369121512.7513.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastba91827364541.5741.57

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Slowba102030405044.4743.89

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 4ba4812162013.7113.511. (CC) gcc options: -O2 -lz -lm

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2.02.73.3Input: Gas HII40ba369121513.2813.271. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lz

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: Ultra Fastba112233445548.4647.87

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Mediumba112233445550.5150.24

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cba9K18K27K36K45K39854.7939511.981. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Fastba122436486053.9654.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Bba8K16K24K32K40K35972.6135080.841. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cba3K6K9K12K15K14955.3514846.471. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 8 - Input: Bosphorus 4Kba2040608010078.2077.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 2ba36912159.77310.0801. (CC) gcc options: -O2 -lz -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Slowba142842567062.9762.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUba369121510.323407.15637MIN: 3.54MIN: 3.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUba0.17070.34140.51210.68280.85350.7587730.586178MIN: 0.42MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Mediumba153045607566.6265.581. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Fastba153045607566.4866.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4Kba153045607567.467.31. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

Row Count: 1000000 - Partitions: 100

a: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

b: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

Row Count: 10000000 - Partitions: 500

a: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

b: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

Row Count: 1000000 - Partitions: 500

a: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

b: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

Row Count: 10000000 - Partitions: 100

a: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

b: The test run did not produce a result. E: _pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4Kba2040608010097.0893.671. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 1ba2468108.0348.1381. (CC) gcc options: -O2 -lz -lm

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4Kba306090120150117.99117.631. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4Kba20406080100106.53105.501. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 1080pba2040608010088.3487.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4Kba306090120150136.35136.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 8 - Input: Bosphorus 1080pba306090120150132.96126.131. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUba369121510.7510.95MIN: 4.01MIN: 3.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUba36912159.258209.72501MIN: 3.05MIN: 2.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 240ba1.18552.3713.55654.7425.92755.2694.9631. (CXX) g++ options: -O3 -fopenmp

Timed FFmpeg Compilation

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

Time To Compile

a: The test quit with a non-zero exit status. E: ./libavcodec/x86/mathops.h:125: Error: operand type mismatch for `shr'

b: The test quit with a non-zero exit status. E: ./libavcodec/x86/mathops.h:125: Error: operand type mismatch for `shr'

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 4Kba4080120160200175.42173.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 4Kba4080120160200175.73170.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cba7K14K21K28K35K34538.2334749.271. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4Kba4080120160200185.36185.241. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 1080p - Video Preset: Very Fastba306090120150144.45142.39

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very Fastba306090120150143.04147.301. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 1080p - Video Preset: Super Fastba306090120150155.71155.73

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fastba4080120160200168.61167.65

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cba60012001800240030002861.562819.631. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUba36912159.507803.56242MIN: 2.41MIN: 2.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUba0.78861.57722.36583.15443.9433.504932.77464MIN: 1.06MIN: 1.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super Fastba50100150200250205.53206.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pba50100150200250231.15231.861. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra Fastba50100150200250229.07232.331. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pba70140210280350331.31332.591. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pba90180270360450399.47390.921. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pba80160240320400385.27385.001. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pba100200300400500461.01460.561. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 1080pba110220330440550529.00521.251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 1080pba130260390520650613.47604.651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pba130260390520650584.23584.801. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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.

Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

Embree

Binary: Pathtracer oneAPI SYCL - Model: Crown

a: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

b: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon

a: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

b: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Obj

a: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

b: The test quit with a non-zero exit status. E: Error: No device of requested type available. -1 (PI_ERROR_DEVICE_NOT_FOUND)

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

a: The test run did not produce a result.

b: The test run did not produce a result.

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

Video Input: Chimera 1080p 10-bit

a: The test quit with a non-zero exit status. E: Failed to open input file chimera_10b_1080p.ivf: No such file or directory

b: The test quit with a non-zero exit status. E: Failed to open input file chimera_10b_1080p.ivf: No such file or directory

Video Input: Summer Nature 1080p

a: The test quit with a non-zero exit status. E: Failed to open input file summer_nature_1080p.ivf: No such file or directory

b: The test quit with a non-zero exit status. E: Failed to open input file summer_nature_1080p.ivf: No such file or directory

Video Input: Summer Nature 4K

a: The test quit with a non-zero exit status. E: Failed to open input file summer_nature_4k.ivf: No such file or directory

b: The test quit with a non-zero exit status. E: Failed to open input file summer_nature_4k.ivf: No such file or directory

Video Input: Chimera 1080p

a: The test quit with a non-zero exit status. E: Failed to open input file chimera_8b_1080p.ivf: No such file or directory

b: The test quit with a non-zero exit status. E: Failed to open input file chimera_8b_1080p.ivf: No such file or directory

Stream

This is a benchmark of Stream, the popular system memory (RAM) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Addba15K30K45K60K75K69373.769855.01. (CC) gcc options: -mcmodel=medium -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Triadba15K30K45K60K75K69457.170199.11. (CC) gcc options: -mcmodel=medium -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Scaleba13K26K39K52K65K61955.062703.71. (CC) gcc options: -mcmodel=medium -O3 -march=native -fopenmp

402 Results Shown

OpenRadioss
NWChem
High Performance Conjugate Gradient
CloverLeaf
Timed GCC Compilation
Whisper.cpp
High Performance Conjugate Gradient
OpenVKL
High Performance Conjugate Gradient
OpenVKL
OpenRadioss
Timed Linux Kernel Compilation
Blender
easyWave
libxsmm
TensorFlow
Whisper.cpp
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
OpenRadioss
QMCPACK
libxsmm
Timed Node.js Compilation
Timed Gem5 Compilation
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, First Run / Cold Cache
QMCPACK
NCNN:
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OSPRay Studio
TensorFlow
OpenSSL:
  AES-256-GCM
  SHA512
  SHA256
  ChaCha20-Poly1305
  ChaCha20
  AES-128-GCM
easyWave
QMCPACK
OSPRay Studio
Timed Godot Game Engine Compilation
Apache IoTDB:
  800 - 100 - 800 - 400:
    Average Latency
    point/sec
OSPRay Studio
Apache IoTDB:
  800 - 100 - 800 - 100:
    Average Latency
    point/sec
OpenRadioss
OSPRay
Whisper.cpp
Blender
OSPRay
PostgreSQL:
  100 - 500 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 1000 - Read Write - Average Latency
  100 - 1000 - Read Write
  100 - 800 - Read Write - Average Latency
  100 - 800 - Read Write
  100 - 1000 - Read Only - Average Latency
  100 - 1000 - Read Only
  100 - 800 - Read Only - Average Latency
  100 - 800 - Read Only
  100 - 500 - Read Write - Average Latency
  100 - 500 - Read Write
  1 - 1000 - Read Write - Average Latency
  1 - 1000 - Read Write
  1 - 800 - Read Write - Average Latency
  1 - 800 - Read Write
  1 - 500 - Read Write - Average Latency
  1 - 500 - Read Write
  1 - 1000 - Read Only - Average Latency
  1 - 1000 - Read Only
  1 - 800 - Read Only - Average Latency
  1 - 800 - Read Only
  1 - 500 - Read Only - Average Latency
  1 - 500 - Read Only
Apache Cassandra
TensorFlow
Blender
Apache IoTDB:
  800 - 100 - 500 - 400:
    Average Latency
    point/sec
QMCPACK
Apache IoTDB:
  500 - 100 - 800 - 400:
    Average Latency
    point/sec
  800 - 100 - 500 - 100:
    Average Latency
    point/sec
  500 - 100 - 800 - 100:
    Average Latency
    point/sec
OpenRadioss
CloverLeaf
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - f32 - CPU
Monte Carlo Simulations of Ionised Nebulae
OSPRay
Apache IoTDB:
  500 - 100 - 500 - 400:
    Average Latency
    point/sec
OSPRay Studio
TensorFlow
Apache IoTDB:
  500 - 100 - 500 - 100:
    Average Latency
    point/sec
oneDNN:
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
VVenC
nginx:
  1000
  500
  200
SVT-HEVC
OSPRay Studio:
  2 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
OpenRadioss
OSPRay Studio
Apache IoTDB:
  800 - 100 - 200 - 400:
    Average Latency
    point/sec
OSPRay Studio
RocksDB
OSPRay Studio
Apache IoTDB:
  800 - 100 - 200 - 100:
    Average Latency
    point/sec
Rodinia
SPECFEM3D
OSPRay Studio
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Apache IoTDB:
  200 - 100 - 800 - 100:
    Average Latency
    point/sec
  500 - 100 - 200 - 100:
    Average Latency
    point/sec
  500 - 100 - 200 - 400:
    Average Latency
    point/sec
OSPRay
Apache IoTDB:
  200 - 100 - 500 - 100:
    Average Latency
    point/sec
OSPRay
OSPRay Studio:
  2 - 1080p - 16 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
Rodinia
Apache IoTDB:
  100 - 100 - 800 - 100:
    Average Latency
    point/sec
OSPRay Studio
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
OSPRay Studio
SPECFEM3D
OSPRay Studio
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
Zstd Compression:
  3 - Decompression Speed
  3 - Compression Speed
  8 - Decompression Speed
  8 - Compression Speed
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
Zstd Compression:
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
OSPRay
Zstd Compression:
  12 - Decompression Speed
  12 - Compression Speed
Apache IoTDB:
  100 - 100 - 500 - 100:
    Average Latency
    point/sec
Zstd Compression:
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
TensorFlow
Apache IoTDB:
  200 - 100 - 200 - 100:
    Average Latency
    point/sec
SQLite Speedtest
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
RocksDB
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
John The Ripper
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
NAS Parallel Benchmarks
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
RocksDB:
  Update Rand
  Rand Fill
  Read Rand Write Rand
OpenSSL:
  RSA4096:
    verify/s
    sign/s
RocksDB
John The Ripper
RocksDB
Intel Open Image Denoise
Apache IoTDB:
  100 - 100 - 200 - 100:
    Average Latency
    point/sec
Blender
CloverLeaf
Rodinia
OSPRay Studio
C-Blosc
TensorFlow
OpenRadioss
OSPRay Studio
Timed Linux Kernel Compilation
OSPRay Studio
VVenC
NAS Parallel Benchmarks
Blender
QuantLib
C-Blosc:
  blosclz bitshuffle - 256MB
  blosclz shuffle - 256MB
NAS Parallel Benchmarks
Apache Hadoop:
  Rename - 20 - 100000
  Delete - 20 - 100000
uvg266
Apache Hadoop:
  Open - 20 - 100000
  File Status - 20 - 100000
SPECFEM3D
C-Blosc
uvg266
Apache Hadoop
Rodinia
libxsmm
Rodinia
Stress-NG
libxsmm
SVT-AV1
Embree
C-Blosc
VVenC
C-Blosc
TensorFlow
C-Blosc
SPECFEM3D
TensorFlow
Embree
QMCPACK
Kvazaar
Stress-NG:
  Cloning
  MMAP
  Malloc
  MEMFD
  Atomic
John The Ripper
Stress-NG
Kvazaar
John The Ripper
Stress-NG:
  Zlib
  Pthread
John The Ripper
Stress-NG:
  NUMA
  SENDFILE
  Socket Activity
  x86_64 RdRand
  Matrix Math
  Context Switching
  Function Call
  Vector Floating Point
  Matrix 3D Math
  Futex
  Floating Point
  Memory Copying
  Semaphores
  Hash
  Glibc Qsort Data Sorting
  Wide Vector Math
  Mixed Scheduler
  Vector Shuffle
  AVX-512 VNNI
  Vector Math
  CPU Stress
  AVL Tree
  Forking
  Crypto
  Mutex
  Poll
  Pipe
  System V Message Passing
  Glibc C String Functions
  Fused Multiply-Add
Intel Open Image Denoise
SPECFEM3D
Intel Open Image Denoise
NAS Parallel Benchmarks
7-Zip Compression:
  Decompression Rating
  Compression Rating
NAS Parallel Benchmarks
C-Blosc:
  blosclz noshuffle - 32MB
  blosclz bitshuffle - 64MB
  blosclz shuffle - 64MB
Embree
QuantLib
Embree
SVT-HEVC
C-Blosc
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Crown
oneDNN:
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
C-Blosc
x265
QMCPACK
C-Blosc
TensorFlow
C-Blosc
SQLite
VVenC
Stream
C-Blosc:
  blosclz shuffle - 8MB
  blosclz shuffle - 16MB
  blosclz bitshuffle - 8MB
  blosclz bitshuffle - 16MB
uvg266
oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 1D - f32 - CPU
Kvazaar
SVT-AV1
uvg266:
  Bosphorus 4K - Super Fast
  Bosphorus 1080p - Slow
SQLite
Monte Carlo Simulations of Ionised Nebulae
uvg266:
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Medium
NAS Parallel Benchmarks
Kvazaar
NAS Parallel Benchmarks:
  SP.B
  CG.C
SVT-AV1
SQLite
Kvazaar
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
Kvazaar:
  Bosphorus 1080p - Medium
  Bosphorus 4K - Ultra Fast
x264
SVT-VP9
SQLite
SVT-VP9
SVT-HEVC
x265
SVT-VP9
SVT-AV1
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
easyWave
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
NAS Parallel Benchmarks
SVT-HEVC
uvg266
Kvazaar
uvg266:
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
NAS Parallel Benchmarks
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
Kvazaar
x264
Kvazaar
SVT-HEVC
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
SVT-HEVC
Stream:
  Add
  Triad
  Scale

a

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
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 no microcode + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 November 2023 22:43 by user phoronix.

b

Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, 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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
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 no microcode + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 9 November 2023 00:16 by user phoronix.