Core i9 12900K Core Configuration

Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (0702 BIOS) and Gigabyte AMD Radeon RX 6800/6800 XT / 6900 16GB on Ubuntu 21.10 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 2111052-TJ-COREI912997
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Result
Identifier
Performance Per
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Date
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  Test
  Duration
8 P + HT + 8 E
November 04 2021
  13 Hours, 6 Minutes
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8 P + HT + 8 E

Processor: Intel Core i9-12900K @ 6.50GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (0702 BIOS), Chipset: Intel Device 7aa7, Memory: 64GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Gigabyte AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc6daily20211023-generic (x86_64) 20211022, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-c2d522b 2021-10-23 impish-oibaf-ppa) (LLVM 12.0.1 DRM 3.42 5.15.0-051500rc6daily20211023-generic), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
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,brig,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-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x12 - Thermald 2.4.6
Graphics Notes: BAR1 / Visible vRAM Size: 16368 MB
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i9 12900K Core ConfigurationOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-12900K @ 6.50GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (0702 BIOS)Intel Device 7aa764GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBGigabyte AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 21.105.15.0-051500rc6daily20211023-generic (x86_64) 20211022GNOME Shell 40.5X Server 1.20.13 + Wayland4.6 Mesa 22.0.0-devel (git-c2d522b 2021-10-23 impish-oibaf-ppa) (LLVM 12.0.1 DRM 3.42 5.15.0-051500rc6daily20211023-generic)1.2.195GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionCore I9 12900K Core Configuration BenchmarksSystem Logs- Transparent Huge Pages: madvise- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- --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,brig,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-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x12 - Thermald 2.4.6- BAR1 / Visible vRAM Size: 16368 MB- Python 3.9.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i9 12900K Core Configurationselenium: Jetstream 2 - Google Chromeplaidml: No - Inference - ResNet 50 - CPUopencv: Features 2Donnx: yolov4 - CPUonnx: shufflenet-v2-10 - CPUonnx: super-resolution-10 - CPUjpegxl: PNG - 8lczero: BLASlczero: Eigenaom-av1: Speed 6 Realtime - Bosphorus 1080pdaphne: OpenMP - Points2Imageaom-av1: Speed 6 Realtime - Bosphorus 4Kopencv: Object Detectiondeepspeech: CPUselenium: Speedometer - Google Chromeplaidml: No - Inference - VGG16 - CPUopenssl: SHA256oidn: RTLightmap.hdr.4096x4096xmrig: Monero - 1Mselenium: PSPDFKit WASM - Google Chromebuild-mesa: Time To Compilexonotic: 3840 x 2160 - Ultraunvanquished: 1920 x 1080 - Ultrajpegxl: PNG - 7onnx: fcn-resnet101-11 - CPUstockfish: Total Timeunvanquished: 1920 x 1080 - Highncnn: 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 - mobilenetunvanquished: 3840 x 2160 - Highgromacs: MPI CPU - water_GMX50_bareplaidml: No - Inference - VGG19 - CPUunvanquished: 1920 x 1080 - Mediumwireguard: ospray: San Miguel - Path Tracerlibraw: Post-Processing Benchmarkxmrig: Wownero - 1Mselenium: Kraken - Google Chromexonotic: 3840 x 2160 - Highunvanquished: 3840 x 2160 - Ultraunvanquished: 3840 x 2160 - Mediumsysbench: CPUospray: XFrog Forest - Path Traceroidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160svt-av1: Preset 4 - Bosphorus 4Konednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedjpegxl: JPEG - 7selenium: StyleBench - Google Chromedaphne: OpenMP - Euclidean Clusterbuild-godot: Time To Compileselenium: WASM collisionDetection - Google Chromeonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUopenssl: RSA4096openssl: RSA4096namd: ATPase Simulation - 327,506 Atomsaom-av1: Speed 8 Realtime - Bosphorus 4Kcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedsynthmark: VoiceMark_100build-linux-kernel: Time To Compileospray: XFrog Forest - SciViscompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedaom-av1: Speed 10 Realtime - Bosphorus 4Krawtherapee: Total Benchmark Timeastcenc: Exhaustivejpegxl-decode: 1selenium: WASM imageConvolute - Google Chromehugin: Panorama Photo Assistant + Stitching Timeselenium: ARES-6 - Google Chromeavifenc: 6, Losslessembree: Pathtracer - Crownospray: NASA Streamlines - Path Tracertesseract: 1920 x 1080cpuminer-opt: Magicpuminer-opt: Myriad-Groestlcpuminer-opt: Skeincoincpuminer-opt: x25xcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Deepcoincpuminer-opt: Ringcoincpuminer-opt: Garlicoincpuminer-opt: Blake-2 Scpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyriteembree: Pathtracer ISPC - Crowncompress-7zip: Compress Speed Testcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedembree: Pathtracer - Asian Dragonsvt-av1: Preset 8 - Bosphorus 4Kxonotic: 3840 x 2160 - Ultimatesvt-av1: Preset 4 - Bosphorus 1080pembree: Pathtracer ISPC - Asian Dragonopencv: DNN - Deep Neural Networkcoremark: CoreMark Size 666 - Iterations Per Secondospray: San Miguel - SciVisaom-av1: Speed 8 Realtime - Bosphorus 1080pdaphne: OpenMP - NDT Mappingrnnoise: jpegxl-decode: Alletlegacy: 3840 x 2160webp: Quality 100, Losslessetlegacy: 1920 x 1080jpegxl: JPEG - 8aom-av1: Speed 10 Realtime - Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUospray: NASA Streamlines - SciVisospray: Magnetic Reconnection - SciVisonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUsvt-av1: Preset 8 - Bosphorus 1080pavifenc: 6astcenc: Thoroughavifenc: 10svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080pwebp: Quality 100svt-hevc: 10 - Bosphorus 1080pospray: Magnetic Reconnection - Path Tracerbuild-nodejs: 8 P + HT + 8 E220.7409.281939956404025750060.71092180410.4734007.62253690512.724493353.8714226724.90236205183000.176298.0284528.393505.6699467355.08.829748294830373.95.9312.1913.4214.928.888.5328.197.981.094.352.492.522.412.788.79376.91.63220.58414.6107.4442.3362.6110624.1553.0561.1740678383.9371.763104.692.480.340.341.9042878.712880.931615.781615.764956.64432.978.3765.11617.1365.553270.662.04832278159.74272.10.7912559.903587.231.31022.1348.0844.713522.7787.012445.775.3712680.977.193500.842.289.2436.07732.752282.0624.2232.33410.6532.28019.75586.99988.5098557.0513917115290669.2443567141304028.402902.2854200726487313216021.25189709013290.512072.7221.937522.041452.59328856.02424.52575048724700.46865728.57150.851280.0315.868417.81746.212.681743.930.26205.831.2669935.5126.327.137697.4885089.2158.5046.82962.518369.28226.98369.931.615466.33500OpenBenchmarking.org

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chrome8 P + HT + 8 E50100150200250SE +/- 8.78, N = 9220.741. chrome 95.0.4638.54
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chrome8 P + HT + 8 E61218243023.47
OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8 P + HT + 8 E1632486480Min: 2.34 / Avg: 9.41 / Max: 86.81. 8 P + HT + 8 E: Approximate power consumption of 5447 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor8 P + HT + 8 E1224364860Min: 16 / Avg: 20.69 / Max: 61

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU8 P + HT + 8 E3691215SE +/- 0.15, N = 129.28
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU8 P + HT + 8 E0.05090.10180.15270.20360.25450.226
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8 P + HT + 8 E1020304050Min: 4.36 / Avg: 40.99 / Max: 51.531. 8 P + HT + 8 E: Approximate power consumption of 9739 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLCPU Temperature Monitor8 P + HT + 8 E1224364860Min: 23 / Avg: 40.26 / Max: 62

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.5.4Test: Features 2D8 P + HT + 8 E40K80K120K160K200KSE +/- 12525.06, N = 121939951. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -shared
OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.5.4CPU Power Consumption Monitor8 P + HT + 8 E306090120150Min: 4.07 / Avg: 70.64 / Max: 157.931. 8 P + HT + 8 E: Approximate power consumption of 13981 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenCV 4.5.4CPU Temperature Monitor8 P + HT + 8 E1428425670Min: 23 / Avg: 42.82 / Max: 73

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.9.1Model: yolov4 - Device: CPU8 P + HT + 8 E140280420560700SE +/- 9.36, N = 126401. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.9.1Model: yolov4 - Device: CPU8 P + HT + 8 E0.85121.70242.55363.40484.2563.783
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.9.1CPU Power Consumption Monitor8 P + HT + 8 E4080120160200Min: 4.62 / Avg: 169.18 / Max: 192.991. 8 P + HT + 8 E: Approximate power consumption of 21063 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.9.1CPU Temperature Monitor8 P + HT + 8 E20406080100Min: 32 / Avg: 85.57 / Max: 100

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.9.1Model: shufflenet-v2-10 - Device: CPU8 P + HT + 8 E9K18K27K36K45KSE +/- 905.56, N = 12402571. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.9.1Model: shufflenet-v2-10 - Device: CPU8 P + HT + 8 E70140210280350335.57
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.9.1CPU Power Consumption Monitor8 P + HT + 8 E306090120150Min: 4.64 / Avg: 119.97 / Max: 136.061. 8 P + HT + 8 E: Approximate power consumption of 14876 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.9.1CPU Temperature Monitor8 P + HT + 8 E1326395265Min: 30 / Avg: 62.97 / Max: 69

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.9.1Model: super-resolution-10 - Device: CPU8 P + HT + 8 E11002200330044005500SE +/- 76.35, N = 1250061. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.9.1Model: super-resolution-10 - Device: CPU8 P + HT + 8 E71421283531.87
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.9.1CPU Power Consumption Monitor8 P + HT + 8 E306090120150Min: 5.04 / Avg: 157.06 / Max: 184.161. 8 P + HT + 8 E: Approximate power consumption of 19462 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.9.1CPU Temperature Monitor8 P + HT + 8 E20406080100Min: 27 / Avg: 81.34 / Max: 96

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 88 P + HT + 8 E0.15750.3150.47250.630.7875SE +/- 0.00, N = 30.71. (CXX) g++ options: -O3 -march=native -funwind-tables -O2 -pthread -fPIE -pie
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 88 P + HT + 8 E0.00720.01440.02160.02880.0360.032
OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor8 P + HT + 8 E1224364860Min: 4.35 / Avg: 22.18 / Max: 63.181. 8 P + HT + 8 E: Approximate power consumption of 9196 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Temperature Monitor8 P + HT + 8 E1224364860Min: 21 / Avg: 24.54 / Max: 59

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS8 P + HT + 8 E2004006008001000SE +/- 4.33, N = 310921. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: BLAS8 P + HT + 8 E1.28862.57723.86585.15446.4435.727
MinAvgMax8 P + HT + 8 E5.1190.7246.5OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 72646 Joules per run.
MinAvgMax8 P + HT + 8 E31.081.198.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.28CPU Temperature Monitor20406080100

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen8 P + HT + 8 E400800120016002000SE +/- 17.57, N = 318041. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: Eigen8 P + HT + 8 E36912159.892
MinAvgMax8 P + HT + 8 E4.2182.4219.7OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 67601 Joules per run.
MinAvgMax8 P + HT + 8 E31.076.790.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.28CPU Temperature Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E3691215SE +/- 0.49, N = 1510.471. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E0.03960.07920.11880.15840.1980.176
MinAvgMax8 P + HT + 8 E4.359.590.7OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 3777 Joules per run.
MinAvgMax8 P + HT + 8 E0.040.173.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor20406080100

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2Image8 P + HT + 8 E7K14K21K28K35KSE +/- 790.95, N = 1534007.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2Image8 P + HT + 8 E130260390520650604.21
MinAvgMax8 P + HT + 8 E4.556.370.1OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 3373 Joules per run.
MinAvgMax8 P + HT + 8 E21.034.543.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1224364860

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K8 P + HT + 8 E3691215SE +/- 0.39, N = 1512.721. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K8 P + HT + 8 E0.03690.07380.11070.14760.18450.164
MinAvgMax8 P + HT + 8 E2.477.7108.4OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 4091 Joules per run.
MinAvgMax8 P + HT + 8 E23.045.173.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor20406080100

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.5.4Test: Object Detection8 P + HT + 8 E10K20K30K40K50KSE +/- 3180.69, N = 15449331. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -shared
MinAvgMax8 P + HT + 8 E4.451.6151.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.5.4CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2531 Joules per run.
MinAvgMax8 P + HT + 8 E23.038.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenCV 4.5.4CPU Temperature Monitor20406080100

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU8 P + HT + 8 E1224364860SE +/- 0.50, N = 1553.87
MinAvgMax8 P + HT + 8 E4.636.845.6OpenBenchmarking.orgWatts, Fewer Is BetterDeepSpeech 0.6CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 1745 Joules per run.
MinAvgMax8 P + HT + 8 E19.030.348.0OpenBenchmarking.orgCelsius, Fewer Is BetterDeepSpeech 0.6CPU Temperature Monitor1428425670

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chrome8 P + HT + 8 E60120180240300SE +/- 10.56, N = 152671. chrome 95.0.4638.54
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chrome8 P + HT + 8 E369121512.74
MinAvgMax8 P + HT + 8 E2.621.040.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 949 Joules per run.
MinAvgMax8 P + HT + 8 E19.025.054.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1530456075

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPU8 P + HT + 8 E612182430SE +/- 0.25, N = 624.90
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPU8 P + HT + 8 E0.03310.06620.09930.13240.16550.147
MinAvgMax8 P + HT + 8 E4.6168.9226.3OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 16499 Joules per run.
MinAvgMax8 P + HT + 8 E20.069.093.0OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLCPU Temperature Monitor20406080100

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 3.0Algorithm: SHA2568 P + HT + 8 E5000M10000M15000M20000M25000MSE +/- 86656587.15, N = 3236205183001. (CC) gcc options: -pthread -m64 -O3 -march=native -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: SHA2568 P + HT + 8 E30M60M90M120M150M121145527.94
MinAvgMax8 P + HT + 8 E4.8195.0243.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 35876 Joules per run.
MinAvgMax8 P + HT + 8 E31.087.8100.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 3.0CPU Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40968 P + HT + 8 E0.03830.07660.11490.15320.1915SE +/- 0.00, N = 30.17
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40968 P + HT + 8 E0.00050.0010.00150.0020.00250.002
MinAvgMax8 P + HT + 8 E3.472.8123.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 12991 Joules per run.
MinAvgMax8 P + HT + 8 E22.040.068.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M8 P + HT + 8 E13002600390052006500SE +/- 4.90, N = 36298.01. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M8 P + HT + 8 E91827364538.92
MinAvgMax8 P + HT + 8 E5.0161.8167.5OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 26646 Joules per run.
MinAvgMax8 P + HT + 8 E32.069.473.0OpenBenchmarking.orgCelsius, Fewer Is BetterXmrig 6.12.1CPU Temperature Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google Chrome8 P + HT + 8 E6001200180024003000SE +/- 53.74, N = 1528451. chrome 95.0.4638.54
MinAvgMax8 P + HT + 8 E2.422.1126.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 772 Joules per run.
MinAvgMax8 P + HT + 8 E19.024.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1632486480

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile8 P + HT + 8 E714212835SE +/- 0.50, N = 1528.39
MinAvgMax8 P + HT + 8 E4.6150.1224.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 4903 Joules per run.
MinAvgMax8 P + HT + 8 E30.069.293.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature Monitor20406080100

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultra8 P + HT + 8 E110220330440550SE +/- 16.73, N = 15505.67MIN: 186 / MAX: 1390
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultra8 P + HT + 8 E4812162014.96
MinAvgMax8 P + HT + 8 E4.833.851.9OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor15304560751. 8 P + HT + 8 E: Approximate power consumption of 1019 Joules per run.
MinAvgMax8 P + HT + 8 E23.032.658.0OpenBenchmarking.orgCelsius, Fewer Is BetterXonotic 0.8.2CPU Temperature Monitor1632486480

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra8 P + HT + 8 E80160240320400SE +/- 16.79, N = 15355.0
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra8 P + HT + 8 E369121513.26
MinAvgMax8 P + HT + 8 E4.926.844.2OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 773 Joules per run.
MinAvgMax8 P + HT + 8 E23.028.043.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1224364860

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 78 P + HT + 8 E246810SE +/- 0.01, N = 38.821. (CXX) g++ options: -O3 -march=native -funwind-tables -O2 -pthread -fPIE -pie
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 78 P + HT + 8 E0.05490.10980.16470.21960.27450.244
MinAvgMax8 P + HT + 8 E4.636.174.5OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 4596 Joules per run.
MinAvgMax8 P + HT + 8 E22.030.169.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Temperature Monitor20406080100

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.9.1Model: fcn-resnet101-11 - Device: CPU8 P + HT + 8 E20406080100SE +/- 0.44, N = 3971. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.9.1Model: fcn-resnet101-11 - Device: CPU8 P + HT + 8 E0.1260.2520.3780.5040.630.56
MinAvgMax8 P + HT + 8 E5.1173.4199.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.9.1CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 21728 Joules per run.
MinAvgMax8 P + HT + 8 E30.087.798.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.9.1CPU Temperature Monitor20406080100

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time8 P + HT + 8 E10M20M30M40M50MSE +/- 367596.14, N = 15482948301. (CXX) g++ options: -lgcov -m64 -lpthread -O3 -march=native -fno-exceptions -std=c++17 -pedantic -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -fprofile-use -fno-peel-loops -fno-tracer -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total Time8 P + HT + 8 E50K100K150K200K250K253756.27
MinAvgMax8 P + HT + 8 E4.9190.3258.3OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor701402102803501. 8 P + HT + 8 E: Approximate power consumption of 5164 Joules per run.
MinAvgMax8 P + HT + 8 E23.080.3100.0OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature Monitor20406080100

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High8 P + HT + 8 E80160240320400SE +/- 14.47, N = 15373.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High8 P + HT + 8 E369121513.48
MinAvgMax8 P + HT + 8 E4.927.744.3OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 749 Joules per run.
MinAvgMax8 P + HT + 8 E0.027.851.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1530456075

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 20210720Target: CPU - Model: regnety_400m8 P + HT + 8 E1.33432.66864.00295.33726.6715SE +/- 0.02, N = 85.93MIN: 5.78 / MAX: 13.841. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
MinAvgMax8 P + HT + 8 E4.5125.0168.9OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20210720CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 5922 Joules per run.
MinAvgMax8 P + HT + 8 E21.055.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20210720CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd8 P + HT + 8 E3691215SE +/- 0.10, N = 812.19MIN: 11.99 / MAX: 118.191. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny8 P + HT + 8 E3691215SE +/- 0.26, N = 813.42MIN: 12.99 / MAX: 22.091. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet508 P + HT + 8 E48121620SE +/- 0.02, N = 814.92MIN: 14.82 / MAX: 22.431. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet8 P + HT + 8 E246810SE +/- 0.01, N = 88.88MIN: 8.85 / MAX: 9.71. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet188 P + HT + 8 E246810SE +/- 0.00, N = 88.53MIN: 8.45 / MAX: 15.511. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg168 P + HT + 8 E714212835SE +/- 0.03, N = 828.19MIN: 27.95 / MAX: 33.831. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet8 P + HT + 8 E246810SE +/- 0.01, N = 87.98MIN: 7.9 / MAX: 11.381. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface8 P + HT + 8 E0.24530.49060.73590.98121.2265SE +/- 0.00, N = 81.09MIN: 1.06 / MAX: 1.431. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b08 P + HT + 8 E0.97881.95762.93643.91524.894SE +/- 0.00, N = 84.35MIN: 4.3 / MAX: 4.721. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet8 P + HT + 8 E0.56031.12061.68092.24122.8015SE +/- 0.00, N = 82.49MIN: 2.45 / MAX: 3.011. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v28 P + HT + 8 E0.5671.1341.7012.2682.835SE +/- 0.00, N = 82.52MIN: 2.48 / MAX: 2.721. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v38 P + HT + 8 E0.54231.08461.62692.16922.7115SE +/- 0.01, N = 82.41MIN: 2.36 / MAX: 4.241. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v28 P + HT + 8 E0.62551.2511.87652.5023.1275SE +/- 0.01, N = 82.78MIN: 2.73 / MAX: 3.281. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet8 P + HT + 8 E246810SE +/- 0.08, N = 88.79MIN: 8.59 / MAX: 18.461. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: High8 P + HT + 8 E80160240320400SE +/- 12.47, N = 15376.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: High8 P + HT + 8 E369121513.13
MinAvgMax8 P + HT + 8 E4.928.745.9OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 762 Joules per run.
MinAvgMax8 P + HT + 8 E23.028.653.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1530456075

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare8 P + HT + 8 E0.36720.73441.10161.46881.836SE +/- 0.012, N = 31.6321. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare8 P + HT + 8 E0.0020.0040.0060.0080.010.009
MinAvgMax8 P + HT + 8 E5.4182.9213.1OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 21280 Joules per run.
MinAvgMax8 P + HT + 8 E32.083.7100.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature Monitor20406080100

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPU8 P + HT + 8 E510152025SE +/- 0.08, N = 320.58
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPU8 P + HT + 8 E0.02540.05080.07620.10160.1270.113
MinAvgMax8 P + HT + 8 E4.8182.6225.8OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 20878 Joules per run.
MinAvgMax8 P + HT + 8 E27.074.094.0OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLCPU Temperature Monitor20406080100

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium8 P + HT + 8 E90180270360450SE +/- 11.08, N = 15414.6
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium8 P + HT + 8 E4812162014.47
MinAvgMax8 P + HT + 8 E5.028.745.0OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 734 Joules per run.
MinAvgMax8 P + HT + 8 E0.029.855.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1530456075

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test8 P + HT + 8 E20406080100SE +/- 0.56, N = 3107.44
MinAvgMax8 P + HT + 8 E4.696.9137.7OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 10754 Joules per run.
MinAvgMax8 P + HT + 8 E24.050.962.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracer8 P + HT + 8 E0.52431.04861.57292.09722.6215SE +/- 0.00, N = 32.33MIN: 1.97 / MAX: 2.35
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracer8 P + HT + 8 E0.00290.00580.00870.01160.01450.013
MinAvgMax8 P + HT + 8 E5.2181.4217.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 19772 Joules per run.
MinAvgMax8 P + HT + 8 E28.076.188.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark8 P + HT + 8 E1428425670SE +/- 2.34, N = 1562.611. (CXX) g++ options: -O3 -march=native -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing Benchmark8 P + HT + 8 E0.32360.64720.97081.29441.6181.438
MinAvgMax8 P + HT + 8 E4.543.572.6OpenBenchmarking.orgWatts, Fewer Is BetterLibRaw 0.20CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 1045 Joules per run.
MinAvgMax8 P + HT + 8 E23.033.470.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M8 P + HT + 8 E2K4K6K8K10KSE +/- 14.90, N = 310624.11. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M8 P + HT + 8 E122436486055.34
MinAvgMax8 P + HT + 8 E5.0192.0203.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 19134 Joules per run.
MinAvgMax8 P + HT + 8 E31.080.786.0OpenBenchmarking.orgCelsius, Fewer Is BetterXmrig 6.12.1CPU Temperature Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google Chrome8 P + HT + 8 E120240360480600SE +/- 40.43, N = 15553.01. chrome 95.0.4638.54
MinAvgMax8 P + HT + 8 E4.215.539.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 356 Joules per run.
MinAvgMax8 P + HT + 8 E19.023.458.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1632486480

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: High8 P + HT + 8 E120240360480600SE +/- 10.90, N = 12561.17MIN: 226 / MAX: 1581
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: High8 P + HT + 8 E4812162017.11
MinAvgMax8 P + HT + 8 E4.632.850.3OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor14284256701. 8 P + HT + 8 E: Approximate power consumption of 905 Joules per run.
MinAvgMax8 P + HT + 8 E23.030.854.0OpenBenchmarking.orgCelsius, Fewer Is BetterXonotic 0.8.2CPU Temperature Monitor1530456075

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: Ultra8 P + HT + 8 E80160240320400SE +/- 16.01, N = 12383.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: Ultra8 P + HT + 8 E4812162013.66
MinAvgMax8 P + HT + 8 E5.028.141.4OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 773 Joules per run.
MinAvgMax8 P + HT + 8 E24.029.143.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1224364860

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: Medium8 P + HT + 8 E80160240320400SE +/- 17.98, N = 12371.7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: Medium8 P + HT + 8 E4812162013.78
MinAvgMax8 P + HT + 8 E4.927.043.5OpenBenchmarking.orgWatts, Fewer Is BetterUnvanquished 0.52.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 733 Joules per run.
MinAvgMax8 P + HT + 8 E23.028.251.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnvanquished 0.52.1CPU Temperature Monitor1530456075

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU8 P + HT + 8 E14K28K42K56K70KSE +/- 2.25, N = 363104.691. (CC) gcc options: -O2 -funroll-loops -O3 -march=native -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPU8 P + HT + 8 E110220330440550518.59
MinAvgMax8 P + HT + 8 E4.6121.7129.5OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 11438 Joules per run.
MinAvgMax8 P + HT + 8 E21.057.062.0OpenBenchmarking.orgCelsius, Fewer Is BetterSysbench 1.0.20CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path Tracer8 P + HT + 8 E0.5581.1161.6742.2322.79SE +/- 0.00, N = 32.48MIN: 1.95 / MAX: 2.52
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path Tracer8 P + HT + 8 E0.00270.00540.00810.01080.01350.012
MinAvgMax8 P + HT + 8 E5.0215.6242.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 19765 Joules per run.
MinAvgMax8 P + HT + 8 E33.090.2100.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21608 P + HT + 8 E0.07650.1530.22950.3060.3825SE +/- 0.00, N = 30.34
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21608 P + HT + 8 E0.00110.00220.00330.00440.00550.005
MinAvgMax8 P + HT + 8 E4.071.0123.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 6534 Joules per run.
MinAvgMax8 P + HT + 8 E24.039.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21608 P + HT + 8 E0.07650.1530.22950.3060.3825SE +/- 0.00, N = 30.34
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21608 P + HT + 8 E0.00110.00220.00330.00440.00550.005
MinAvgMax8 P + HT + 8 E2.572.6129.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 6678 Joules per run.
MinAvgMax8 P + HT + 8 E25.040.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K8 P + HT + 8 E0.42840.85681.28521.71362.142SE +/- 0.020, N = 31.9041. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K8 P + HT + 8 E0.00410.00820.01230.01640.02050.018
MinAvgMax8 P + HT + 8 E4.6104.5217.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 9337 Joules per run.
MinAvgMax8 P + HT + 8 E26.053.088.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU8 P + HT + 8 E6001200180024003000SE +/- 0.34, N = 32878.71MIN: 2870.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E4.4183.6205.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 15363 Joules per run.
MinAvgMax8 P + HT + 8 E27.073.682.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU8 P + HT + 8 E6001200180024003000SE +/- 1.27, N = 32880.93MIN: 2871.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E5.1184.3205.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 15359 Joules per run.
MinAvgMax8 P + HT + 8 E31.074.482.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU8 P + HT + 8 E30060090012001500SE +/- 0.96, N = 31615.78MIN: 1610.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E4.9183.5209.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 14683 Joules per run.
MinAvgMax8 P + HT + 8 E31.075.184.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU8 P + HT + 8 E30060090012001500SE +/- 0.52, N = 31615.76MIN: 1609.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E5.1183.6209.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 14630 Joules per run.
MinAvgMax8 P + HT + 8 E32.075.284.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed8 P + HT + 8 E11002200330044005500SE +/- 26.67, N = 34956.61. (CC) gcc options: -O3 -march=native -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed8 P + HT + 8 E20406080100100.44
MinAvgMax8 P + HT + 8 E4.849.397.3OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 3899 Joules per run.
MinAvgMax8 P + HT + 8 E25.036.365.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression Speed8 P + HT + 8 E10002000300040005000SE +/- 45.22, N = 64432.91. (CC) gcc options: -O3 -march=native -pthread -lz -llzma

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 78 P + HT + 8 E20406080100SE +/- 1.27, N = 1578.371. (CXX) g++ options: -O3 -march=native -funwind-tables -O2 -pthread -fPIE -pie
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 78 P + HT + 8 E0.74971.49942.24912.99883.74853.332
MinAvgMax8 P + HT + 8 E4.523.543.1OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 428 Joules per run.
MinAvgMax8 P + HT + 8 E21.026.944.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Temperature Monitor1224364860

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google Chrome8 P + HT + 8 E1530456075SE +/- 0.46, N = 365.11. chrome 95.0.4638.54
OpenBenchmarking.orgRuns / Minute Per Watt, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google Chrome8 P + HT + 8 E0.5541.1081.6622.2162.772.462
MinAvgMax8 P + HT + 8 E4.726.438.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 1930 Joules per run.
MinAvgMax8 P + HT + 8 E19.024.636.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1020304050

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean Cluster8 P + HT + 8 E30060090012001500SE +/- 17.52, N = 151617.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean Cluster8 P + HT + 8 E71421283531.50
MinAvgMax8 P + HT + 8 E4.751.395.9OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 904 Joules per run.
MinAvgMax8 P + HT + 8 E23.034.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1530456075

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 3.2.3Time To Compile8 P + HT + 8 E1530456075SE +/- 0.77, N = 365.55
MinAvgMax8 P + HT + 8 E5.2162.6225.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 11330 Joules per run.
MinAvgMax8 P + HT + 8 E31.073.696.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google Chrome8 P + HT + 8 E60120180240300SE +/- 23.23, N = 15270.661. chrome 95.0.4638.54
MinAvgMax8 P + HT + 8 E4.614.636.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 235 Joules per run.
MinAvgMax8 P + HT + 8 E19.023.253.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1530456075

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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU8 P + HT + 8 E0.46090.92181.38271.84362.3045SE +/- 0.11208, N = 152.04832MIN: 1.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E4.5120.5216.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 1945 Joules per run.
MinAvgMax8 P + HT + 8 E27.057.085.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

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 3.0Algorithm: RSA40968 P + HT + 8 E60K120K180K240K300KSE +/- 1645.32, N = 3278159.71. (CC) gcc options: -pthread -m64 -O3 -march=native -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: RSA40968 P + HT + 8 E300600900120015001538.21
MinAvgMax8 P + HT + 8 E5.1180.8203.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 11634 Joules per run.
MinAvgMax8 P + HT + 8 E28.081.990.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 3.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA40968 P + HT + 8 E9001800270036004500SE +/- 16.07, N = 34272.11. (CC) gcc options: -pthread -m64 -O3 -march=native -lssl -lcrypto -ldl

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms8 P + HT + 8 E0.1780.3560.5340.7120.89SE +/- 0.00323, N = 30.79125
MinAvgMax8 P + HT + 8 E5.0204.1252.7OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor701402102803501. 8 P + HT + 8 E: Approximate power consumption of 12248 Joules per run.
MinAvgMax8 P + HT + 8 E27.087.4100.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K8 P + HT + 8 E1326395265SE +/- 0.53, N = 1559.901. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K8 P + HT + 8 E0.17170.34340.51510.68680.85850.763
MinAvgMax8 P + HT + 8 E4.778.5119.0OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 1167 Joules per run.
MinAvgMax8 P + HT + 8 E24.044.462.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed8 P + HT + 8 E8001600240032004000SE +/- 492.55, N = 33587.21. (CC) gcc options: -O3 -march=native -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed8 P + HT + 8 E142842567062.58
MinAvgMax8 P + HT + 8 E4.957.3122.9OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 3248 Joules per run.
MinAvgMax8 P + HT + 8 E23.037.863.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speed8 P + HT + 8 E714212835SE +/- 0.03, N = 331.31. (CC) gcc options: -O3 -march=native -pthread -lz -llzma

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1008 P + HT + 8 E20040060080010001022.131. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1008 P + HT + 8 E132639526558.45
MinAvgMax8 P + HT + 8 E4.717.522.3OpenBenchmarking.orgWatts, Fewer Is BetterGoogle SynthMark 20201109CPU Power Consumption Monitor612182430
MinAvgMax8 P + HT + 8 E21.025.331.0OpenBenchmarking.orgCelsius, Fewer Is BetterGoogle SynthMark 20201109CPU Temperature Monitor918273645

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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.14Time To Compile8 P + HT + 8 E1122334455SE +/- 0.40, N = 348.08
MinAvgMax8 P + HT + 8 E5.1159.6225.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.14CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 9204 Joules per run.
MinAvgMax8 P + HT + 8 E28.071.893.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.14CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVis8 P + HT + 8 E1.05982.11963.17944.23925.299SE +/- 0.01, N = 34.71MIN: 3.6 / MAX: 4.78
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVis8 P + HT + 8 E0.00520.01040.01560.02080.0260.023
MinAvgMax8 P + HT + 8 E4.7205.1246.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 10595 Joules per run.
MinAvgMax8 P + HT + 8 E23.083.598.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed8 P + HT + 8 E8001600240032004000SE +/- 2.94, N = 43522.71. (CC) gcc options: -O3 -march=native -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed8 P + HT + 8 E142842567061.07
MinAvgMax8 P + HT + 8 E4.957.7122.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2264 Joules per run.
MinAvgMax8 P + HT + 8 E24.037.957.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression Speed8 P + HT + 8 E2004006008001000SE +/- 8.96, N = 4787.01. (CC) gcc options: -O3 -march=native -pthread -lz -llzma

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed8 P + HT + 8 E3K6K9K12K15KSE +/- 220.02, N = 312445.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed8 P + HT + 8 E90180270360450393.01
MinAvgMax8 P + HT + 8 E4.831.736.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 1552 Joules per run.
MinAvgMax8 P + HT + 8 E23.027.329.0OpenBenchmarking.orgCelsius, Fewer Is BetterLZ4 Compression 1.9.3CPU Temperature Monitor918273645

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed8 P + HT + 8 E20406080100SE +/- 0.02, N = 375.371. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed8 P + HT + 8 E3K6K9K12K15KSE +/- 13.84, N = 312680.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed8 P + HT + 8 E90180270360450401.37
MinAvgMax8 P + HT + 8 E4.831.639.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 1527 Joules per run.
MinAvgMax8 P + HT + 8 E23.027.430.0OpenBenchmarking.orgCelsius, Fewer Is BetterLZ4 Compression 1.9.3CPU Temperature Monitor918273645

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed8 P + HT + 8 E20406080100SE +/- 0.03, N = 377.191. (CC) gcc options: -O3

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed8 P + HT + 8 E8001600240032004000SE +/- 496.73, N = 33500.81. (CC) gcc options: -O3 -march=native -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed8 P + HT + 8 E132639526556.78
MinAvgMax8 P + HT + 8 E4.561.7124.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2939 Joules per run.
MinAvgMax8 P + HT + 8 E24.043.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speed8 P + HT + 8 E1020304050SE +/- 0.20, N = 342.21. (CC) gcc options: -O3 -march=native -pthread -lz -llzma

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K8 P + HT + 8 E20406080100SE +/- 0.81, N = 1589.241. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K8 P + HT + 8 E0.31050.6210.93151.2421.55251.38
MinAvgMax8 P + HT + 8 E4.764.6107.5OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 771 Joules per run.
MinAvgMax8 P + HT + 8 E23.040.461.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor20406080100

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time8 P + HT + 8 E816243240SE +/- 0.02, N = 336.081. RawTherapee, version 5.8, command line.
MinAvgMax8 P + HT + 8 E4.985.8132.1OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 3517 Joules per run.
MinAvgMax8 P + HT + 8 E23.048.370.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: Exhaustive8 P + HT + 8 E816243240SE +/- 0.13, N = 332.751. (CXX) g++ options: -O3 -march=native -flto -pthread
MinAvgMax8 P + HT + 8 E4.9187.3239.8OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 7556 Joules per run.
MinAvgMax8 P + HT + 8 E25.077.196.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 3.2CPU Temperature Monitor20406080100

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: 18 P + HT + 8 E20406080100SE +/- 0.06, N = 382.06
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: 18 P + HT + 8 E0.5961.1921.7882.3842.982.649
MinAvgMax8 P + HT + 8 E4.731.035.4OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 1208 Joules per run.
MinAvgMax8 P + HT + 8 E21.033.039.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Temperature Monitor1122334455

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google Chrome8 P + HT + 8 E612182430SE +/- 1.72, N = 1524.221. chrome 95.0.4638.54
MinAvgMax8 P + HT + 8 E4.68.425.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. 8 P + HT + 8 E: Approximate power consumption of 90 Joules per run.
MinAvgMax8 P + HT + 8 E19.020.655.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1530456075

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time8 P + HT + 8 E816243240SE +/- 0.16, N = 332.33
MinAvgMax8 P + HT + 8 E4.763.2160.6OpenBenchmarking.orgWatts, Fewer Is BetterHuginCPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 2316 Joules per run.
MinAvgMax8 P + HT + 8 E23.040.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google Chrome8 P + HT + 8 E3691215SE +/- 0.10, N = 310.651. chrome 95.0.4638.54
MinAvgMax8 P + HT + 8 E4.423.941.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 876 Joules per run.
MinAvgMax8 P + HT + 8 E0.025.534.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor1020304050

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, Lossless8 P + HT + 8 E714212835SE +/- 0.42, N = 332.281. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMax8 P + HT + 8 E4.6154.6241.6OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 5667 Joules per run.
MinAvgMax8 P + HT + 8 E25.070.396.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown8 P + HT + 8 E510152025SE +/- 0.07, N = 319.76MIN: 19.46 / MAX: 20.24
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown8 P + HT + 8 E0.02270.04540.06810.09080.11350.101
MinAvgMax8 P + HT + 8 E4.6194.8232.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 7079 Joules per run.
MinAvgMax8 P + HT + 8 E32.080.794.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracer8 P + HT + 8 E246810SE +/- 0.00, N = 36.99MIN: 5.41 / MAX: 7.14
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracer8 P + HT + 8 E0.00810.01620.02430.03240.04050.036
MinAvgMax8 P + HT + 8 E5.2194.4240.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 6998 Joules per run.
MinAvgMax8 P + HT + 8 E29.079.694.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Tesseract

Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 10808 P + HT + 8 E2004006008001000SE +/- 2.41, N = 3988.51
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterTesseract 2014-05-12Resolution: 1920 x 10808 P + HT + 8 E71421283529.59
MinAvgMax8 P + HT + 8 E4.833.455.0OpenBenchmarking.orgWatts, Fewer Is BetterTesseract 2014-05-12CPU Power Consumption Monitor15304560751. 8 P + HT + 8 E: Approximate power consumption of 1191 Joules per run.
MinAvgMax8 P + HT + 8 E21.031.446.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract 2014-05-12CPU Temperature Monitor1224364860

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Magi8 P + HT + 8 E120240360480600SE +/- 0.26, N = 3557.051. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Magi8 P + HT + 8 E0.77631.55262.32893.10523.88153.45
MinAvgMax8 P + HT + 8 E5.0161.4197.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 5650 Joules per run.
MinAvgMax8 P + HT + 8 E28.073.386.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-Groestl8 P + HT + 8 E3K6K9K12K15KSE +/- 21.86, N = 3139171. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-Groestl8 P + HT + 8 E306090120150114.13
MinAvgMax8 P + HT + 8 E4.6121.9151.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 4268 Joules per run.
MinAvgMax8 P + HT + 8 E25.057.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Skeincoin8 P + HT + 8 E20K40K60K80K100KSE +/- 745.01, N = 31152901. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Skeincoin8 P + HT + 8 E300600900120015001301.48
MinAvgMax8 P + HT + 8 E4.588.6163.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 3071 Joules per run.
MinAvgMax8 P + HT + 8 E28.046.357.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor1632486480

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25x8 P + HT + 8 E140280420560700SE +/- 1.16, N = 3669.241. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: x25x8 P + HT + 8 E0.76231.52462.28693.04923.81153.388
MinAvgMax8 P + HT + 8 E4.7197.5239.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 6914 Joules per run.
MinAvgMax8 P + HT + 8 E25.082.398.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY Credits8 P + HT + 8 E9K18K27K36K45KSE +/- 196.50, N = 3435671. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY Credits8 P + HT + 8 E70140210280350326.67
MinAvgMax8 P + HT + 8 E5.0133.4212.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 4668 Joules per run.
MinAvgMax8 P + HT + 8 E24.059.481.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Deepcoin8 P + HT + 8 E3K6K9K12K15KSE +/- 17.32, N = 3141301. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Deepcoin8 P + HT + 8 E2040608010084.10
MinAvgMax8 P + HT + 8 E4.6168.0204.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 5880 Joules per run.
MinAvgMax8 P + HT + 8 E32.073.885.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Ringcoin8 P + HT + 8 E9001800270036004500SE +/- 53.56, N = 34028.401. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Ringcoin8 P + HT + 8 E51015202521.52
MinAvgMax8 P + HT + 8 E5.2187.2222.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 6553 Joules per run.
MinAvgMax8 P + HT + 8 E31.080.093.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Garlicoin8 P + HT + 8 E6001200180024003000SE +/- 8.88, N = 32902.281. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Garlicoin8 P + HT + 8 E4812162016.09
MinAvgMax8 P + HT + 8 E5.2180.4208.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 6314 Joules per run.
MinAvgMax8 P + HT + 8 E31.076.186.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 S8 P + HT + 8 E120K240K360K480K600KSE +/- 2502.49, N = 35420071. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 S8 P + HT + 8 E160032004800640080007393.09
MinAvgMax8 P + HT + 8 E5.173.3138.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2566 Joules per run.
MinAvgMax8 P + HT + 8 E28.042.173.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, Onecoin8 P + HT + 8 E60K120K180K240K300KSE +/- 1251.19, N = 32648731. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, Onecoin8 P + HT + 8 E80016002400320040003629.99
MinAvgMax8 P + HT + 8 E5.173.0115.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2554 Joules per run.
MinAvgMax8 P + HT + 8 E25.040.766.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, Pyrite8 P + HT + 8 E30K60K90K120K150KSE +/- 20.82, N = 31321601. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, Pyrite8 P + HT + 8 E4008001200160020001631.71
MinAvgMax8 P + HT + 8 E4.681.0112.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 2835 Joules per run.
MinAvgMax8 P + HT + 8 E24.043.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown8 P + HT + 8 E510152025SE +/- 0.04, N = 321.25MIN: 20.93 / MAX: 21.83
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown8 P + HT + 8 E0.02450.0490.07350.0980.12250.109
MinAvgMax8 P + HT + 8 E5.1194.8233.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 6623 Joules per run.
MinAvgMax8 P + HT + 8 E32.081.093.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test8 P + HT + 8 E20K40K60K80K100KSE +/- 682.68, N = 3970901. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed Test8 P + HT + 8 E150300450600750700.73
MinAvgMax8 P + HT + 8 E3.8138.6184.1OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 4665 Joules per run.
MinAvgMax8 P + HT + 8 E23.063.078.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed8 P + HT + 8 E3K6K9K12K15KSE +/- 39.39, N = 313290.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed8 P + HT + 8 E100200300400500469.68
MinAvgMax8 P + HT + 8 E4.828.333.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 934 Joules per run.
MinAvgMax8 P + HT + 8 E24.027.429.0OpenBenchmarking.orgCelsius, Fewer Is BetterLZ4 Compression 1.9.3CPU Temperature Monitor918273645

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed8 P + HT + 8 E3K6K9K12K15KSE +/- 11.01, N = 312072.721. (CC) gcc options: -O3

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon8 P + HT + 8 E510152025SE +/- 0.20, N = 321.94MIN: 21.55 / MAX: 22.7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon8 P + HT + 8 E0.02790.05580.08370.11160.13950.124
MinAvgMax8 P + HT + 8 E4.8177.2207.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 5847 Joules per run.
MinAvgMax8 P + HT + 8 E32.077.086.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K8 P + HT + 8 E510152025SE +/- 0.22, N = 322.041. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K8 P + HT + 8 E0.04730.09460.14190.18920.23650.21
MinAvgMax8 P + HT + 8 E4.9105.1164.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 3363 Joules per run.
MinAvgMax8 P + HT + 8 E25.050.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultimate8 P + HT + 8 E100200300400500SE +/- 5.40, N = 3452.59MIN: 78 / MAX: 1269
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultimate8 P + HT + 8 E369121512.06
MinAvgMax8 P + HT + 8 E4.837.551.2OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor15304560751. 8 P + HT + 8 E: Approximate power consumption of 1213 Joules per run.
MinAvgMax8 P + HT + 8 E25.035.457.0OpenBenchmarking.orgCelsius, Fewer Is BetterXonotic 0.8.2CPU Temperature Monitor1632486480

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 1080p8 P + HT + 8 E246810SE +/- 0.010, N = 36.0241. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 1080p8 P + HT + 8 E0.01550.0310.04650.0620.07750.069
MinAvgMax8 P + HT + 8 E4.987.8170.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 2722 Joules per run.
MinAvgMax8 P + HT + 8 E0.043.984.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon8 P + HT + 8 E612182430SE +/- 0.06, N = 324.53MIN: 24.29 / MAX: 25.1
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon8 P + HT + 8 E0.03110.06220.09330.12440.15550.138
MinAvgMax8 P + HT + 8 E5.1177.1210.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 5314 Joules per run.
MinAvgMax8 P + HT + 8 E31.074.986.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.5.4Test: DNN - Deep Neural Network8 P + HT + 8 E11002200330044005500SE +/- 80.53, N = 1550481. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -shared
MinAvgMax8 P + HT + 8 E4.9103.5202.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.5.4CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 945 Joules per run.
MinAvgMax8 P + HT + 8 E29.049.680.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenCV 4.5.4CPU Temperature Monitor20406080100

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second8 P + HT + 8 E160K320K480K640K800KSE +/- 2264.99, N = 3724700.471. (CC) gcc options: -O2 -O3 -march=native -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second8 P + HT + 8 E110022003300440055005192.10
MinAvgMax8 P + HT + 8 E4.9139.6188.4OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 3722 Joules per run.
MinAvgMax8 P + HT + 8 E21.063.386.0OpenBenchmarking.orgCelsius, Fewer Is BetterCoremark 1.0CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVis8 P + HT + 8 E714212835SE +/- 0.00, N = 328.57MIN: 23.26
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVis8 P + HT + 8 E0.07270.14540.21810.29080.36350.323
MinAvgMax8 P + HT + 8 E4.988.5232.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 2242 Joules per run.
MinAvgMax8 P + HT + 8 E32.051.288.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E306090120150SE +/- 2.26, N = 15150.851. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E0.74571.49142.23712.98283.72853.314
MinAvgMax8 P + HT + 8 E4.745.5107.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 376 Joules per run.
MinAvgMax8 P + HT + 8 E23.034.555.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor1530456075

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT Mapping8 P + HT + 8 E30060090012001500SE +/- 0.87, N = 41280.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT Mapping8 P + HT + 8 E71421283529.33
MinAvgMax8 P + HT + 8 E4.843.669.7OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 873 Joules per run.
MinAvgMax8 P + HT + 8 E23.030.539.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1122334455

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-288 P + HT + 8 E48121620SE +/- 0.01, N = 415.871. (CC) gcc options: -O3 -march=native -pedantic -fvisibility=hidden
MinAvgMax8 P + HT + 8 E4.824.530.2OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor9182736451. 8 P + HT + 8 E: Approximate power consumption of 491 Joules per run.
MinAvgMax8 P + HT + 8 E21.039.746.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor1224364860

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: All8 P + HT + 8 E90180270360450SE +/- 0.21, N = 3417.81
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: All8 P + HT + 8 E2468106.045
MinAvgMax8 P + HT + 8 E4.869.1133.0OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 1659 Joules per run.
MinAvgMax8 P + HT + 8 E21.042.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Temperature Monitor20406080100

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 21608 P + HT + 8 E160320480640800SE +/- 2.49, N = 4746.2
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterET: Legacy 2.78Resolution: 3840 x 21608 P + HT + 8 E61218243026.26
MinAvgMax8 P + HT + 8 E5.028.440.6OpenBenchmarking.orgWatts, Fewer Is BetterET: Legacy 2.78CPU Power Consumption Monitor11223344551. 8 P + HT + 8 E: Approximate power consumption of 504 Joules per run.
MinAvgMax8 P + HT + 8 E23.037.257.0OpenBenchmarking.orgCelsius, Fewer Is BetterET: Legacy 2.78CPU Temperature Monitor1632486480

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless8 P + HT + 8 E3691215SE +/- 0.01, N = 412.681. (CC) gcc options: -fvisibility=hidden -O3 -march=native -lm -ljpeg -lpng16 -ltiff
MinAvgMax8 P + HT + 8 E4.423.834.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 398 Joules per run.
MinAvgMax8 P + HT + 8 E23.025.928.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor918273645

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 10808 P + HT + 8 E160320480640800SE +/- 7.99, N = 4743.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterET: Legacy 2.78Resolution: 1920 x 10808 P + HT + 8 E61218243026.27
MinAvgMax8 P + HT + 8 E4.928.343.8OpenBenchmarking.orgWatts, Fewer Is BetterET: Legacy 2.78CPU Power Consumption Monitor12243648601. 8 P + HT + 8 E: Approximate power consumption of 460 Joules per run.
MinAvgMax8 P + HT + 8 E24.032.757.0OpenBenchmarking.orgCelsius, Fewer Is BetterET: Legacy 2.78CPU Temperature Monitor1632486480

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 88 P + HT + 8 E714212835SE +/- 0.05, N = 530.261. (CXX) g++ options: -O3 -march=native -funwind-tables -O2 -pthread -fPIE -pie
OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 88 P + HT + 8 E0.36090.72181.08271.44361.80451.604
MinAvgMax8 P + HT + 8 E4.618.927.3OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor8162432401. 8 P + HT + 8 E: Approximate power consumption of 260 Joules per run.
MinAvgMax8 P + HT + 8 E23.025.249.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Temperature Monitor1428425670

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E50100150200250SE +/- 2.81, N = 15205.831. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p8 P + HT + 8 E1.10542.21083.31624.42165.5274.913
MinAvgMax8 P + HT + 8 E4.541.996.0OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.2CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 304 Joules per run.
MinAvgMax8 P + HT + 8 E24.031.947.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.2CPU Temperature Monitor1428425670

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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU8 P + HT + 8 E0.28510.57020.85531.14041.4255SE +/- 0.00071, N = 41.26699MIN: 1.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E5.0121.0190.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 1967 Joules per run.
MinAvgMax8 P + HT + 8 E24.052.572.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVis8 P + HT + 8 E816243240SE +/- 0.21, N = 635.51MIN: 34.48 / MAX: 35.71
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVis8 P + HT + 8 E0.06140.12280.18420.24560.3070.273
MinAvgMax8 P + HT + 8 E4.8130.3235.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 1498 Joules per run.
MinAvgMax8 P + HT + 8 E33.065.089.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVis8 P + HT + 8 E612182430SE +/- 0.00, N = 526.32MIN: 19.61 / MAX: 27.03
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVis8 P + HT + 8 E0.04460.08920.13380.17840.2230.198
MinAvgMax8 P + HT + 8 E4.7132.7206.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 1699 Joules per run.
MinAvgMax8 P + HT + 8 E24.057.878.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU8 P + HT + 8 E246810SE +/- 0.00204, N = 77.13769MIN: 7.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E4.5100.1188.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 1030 Joules per run.
MinAvgMax8 P + HT + 8 E29.049.066.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU8 P + HT + 8 E246810SE +/- 0.00286, N = 77.48850MIN: 7.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
MinAvgMax8 P + HT + 8 E4.881.4148.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 826 Joules per run.
MinAvgMax8 P + HT + 8 E26.044.157.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 2.1.2CPU Temperature Monitor1632486480

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 1080p8 P + HT + 8 E20406080100SE +/- 0.37, N = 689.221. (CXX) g++ options: -O3 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 1080p8 P + HT + 8 E0.24140.48280.72420.96561.2071.073
MinAvgMax8 P + HT + 8 E4.783.1143.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 928 Joules per run.
MinAvgMax8 P + HT + 8 E23.045.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 68 P + HT + 8 E246810SE +/- 0.055, N = 58.5041. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMax8 P + HT + 8 E4.971.3225.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 884 Joules per run.
MinAvgMax8 P + HT + 8 E28.046.786.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: Thorough8 P + HT + 8 E246810SE +/- 0.0126, N = 66.82961. (CXX) g++ options: -O3 -march=native -flto -pthread
MinAvgMax8 P + HT + 8 E4.883.2230.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 901 Joules per run.
MinAvgMax8 P + HT + 8 E23.048.882.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 3.2CPU Temperature Monitor20406080100

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 108 P + HT + 8 E0.56661.13321.69982.26642.833SE +/- 0.026, N = 152.5181. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMax8 P + HT + 8 E4.325.5102.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor204060801001. 8 P + HT + 8 E: Approximate power consumption of 167 Joules per run.
MinAvgMax8 P + HT + 8 E24.030.774.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

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 1080p8 P + HT + 8 E80160240320400SE +/- 5.68, N = 15369.281. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p8 P + HT + 8 E2468106.612
MinAvgMax8 P + HT + 8 E4.655.9196.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 331 Joules per run.
MinAvgMax8 P + HT + 8 E23.035.270.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor20406080100

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 1080p 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 1080p8 P + HT + 8 E50100150200250SE +/- 1.44, N = 9226.981. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p8 P + HT + 8 E0.60141.20281.80422.40563.0072.673
MinAvgMax8 P + HT + 8 E4.984.9227.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 585 Joules per run.
MinAvgMax8 P + HT + 8 E26.047.784.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU

8 P + HT + 8 E: Test failed to run.

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 1080p8 P + HT + 8 E80160240320400SE +/- 0.68, N = 11369.931. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p8 P + HT + 8 E2468106.7
MinAvgMax8 P + HT + 8 E4.355.2194.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor501001502002501. 8 P + HT + 8 E: Approximate power consumption of 331 Joules per run.
MinAvgMax8 P + HT + 8 E0.036.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor20406080100

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1008 P + HT + 8 E0.36340.72681.09021.45361.817SE +/- 0.000, N = 111.6151. (CC) gcc options: -fvisibility=hidden -O3 -march=native -lm -ljpeg -lpng16 -ltiff
MinAvgMax8 P + HT + 8 E4.714.235.3OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor10203040501. 8 P + HT + 8 E: Approximate power consumption of 83 Joules per run.
MinAvgMax8 P + HT + 8 E23.027.333.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor1020304050

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 1080p 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 1080p8 P + HT + 8 E100200300400500SE +/- 0.39, N = 12466.331. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p8 P + HT + 8 E36912159.112
MinAvgMax8 P + HT + 8 E4.851.2208.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor601201802403001. 8 P + HT + 8 E: Approximate power consumption of 290 Joules per run.
MinAvgMax8 P + HT + 8 E25.035.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU

8 P + HT + 8 E: Test failed to run.

FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU

8 P + HT + 8 E: Test failed to run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path Tracer8 P + HT + 8 E110220330440550SE +/- 0.00, N = 12500MIN: 250
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path Tracer8 P + HT + 8 E4812162014.00
MinAvgMax8 P + HT + 8 E4.735.7158.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor40801201602001. 8 P + HT + 8 E: Approximate power consumption of 185 Joules per run.
MinAvgMax8 P + HT + 8 E24.031.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU

8 P + HT + 8 E: Test failed to run.

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU

8 P + HT + 8 E: Test failed to run.

Timed Node.js Compilation

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

8 P + HT + 8 E: The test quit with a non-zero exit status.

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoring8 P + HT + 8 E20406080100Min: 0 / Avg: 47.4 / Max: 100

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoring8 P + HT + 8 E50100150200250Min: 2.34 / Avg: 82.91 / Max: 258.28

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Watts8 P + HT + 8 E110220330440550492.37

149 Results Shown

Selenium
PlaidML
OpenCV
ONNX Runtime:
  yolov4 - CPU
  shufflenet-v2-10 - CPU
  super-resolution-10 - CPU
JPEG XL libjxl
LeelaChessZero:
  BLAS
  Eigen
AOM AV1
Darmstadt Automotive Parallel Heterogeneous Suite
AOM AV1
OpenCV
DeepSpeech
Selenium
PlaidML
OpenSSL
Intel Open Image Denoise
Xmrig
Selenium
Timed Mesa Compilation
Xonotic
Unvanquished
JPEG XL libjxl
ONNX Runtime
Stockfish
Unvanquished
NCNN:
  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
Unvanquished
GROMACS
PlaidML
Unvanquished
WireGuard + Linux Networking Stack Stress Test
OSPray
LibRaw
Xmrig
Selenium
Xonotic
Unvanquished:
  3840 x 2160 - Ultra
  3840 x 2160 - Medium
Sysbench
OSPray
Intel Open Image Denoise:
  RT.ldr_alb_nrm.3840x2160
  RT.hdr_alb_nrm.3840x2160
SVT-AV1
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Zstd Compression:
  3 - Decompression Speed
  3 - Compression Speed
JPEG XL libjxl
Selenium
Darmstadt Automotive Parallel Heterogeneous Suite
Timed Godot Game Engine Compilation
Selenium
oneDNN
OpenSSL:
  RSA4096:
    verify/s
    sign/s
NAMD
AOM AV1
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Google SynthMark
Timed Linux Kernel Compilation
OSPray
Zstd Compression:
  8 - Decompression Speed
  8 - Compression Speed
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
  3 - Decompression Speed
  3 - Compression Speed
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
AOM AV1
RawTherapee
ASTC Encoder
JPEG XL Decoding libjxl
Selenium
Hugin
Selenium
libavif avifenc
Embree
OSPray
Tesseract
Cpuminer-Opt:
  Magi
  Myriad-Groestl
  Skeincoin
  x25x
  LBC, LBRY Credits
  Deepcoin
  Ringcoin
  Garlicoin
  Blake-2 S
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
Embree
7-Zip Compression
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Embree
SVT-AV1
Xonotic
SVT-AV1
Embree
OpenCV
Coremark
OSPray
AOM AV1
Darmstadt Automotive Parallel Heterogeneous Suite
RNNoise
JPEG XL Decoding libjxl
ET: Legacy
WebP Image Encode
ET: Legacy
JPEG XL libjxl
AOM AV1
oneDNN
OSPray:
  NASA Streamlines - SciVis
  Magnetic Reconnection - SciVis
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
SVT-AV1
libavif avifenc
ASTC Encoder
libavif avifenc
SVT-VP9
SVT-HEVC
SVT-VP9
WebP Image Encode
SVT-HEVC
OSPray
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
  Performance Per Watts:
    Performance Per Watts

8 P + HT + 8 E

Processor: Intel Core i9-12900K @ 6.50GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (0702 BIOS), Chipset: Intel Device 7aa7, Memory: 64GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Gigabyte AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 21.10, Kernel: 5.15.0-051500rc6daily20211023-generic (x86_64) 20211022, Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 22.0.0-devel (git-c2d522b 2021-10-23 impish-oibaf-ppa) (LLVM 12.0.1 DRM 3.42 5.15.0-051500rc6daily20211023-generic), Vulkan: 1.2.195, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
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,brig,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-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x12 - Thermald 2.4.6
Graphics Notes: BAR1 / Visible vRAM Size: 16368 MB
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 November 2021 14:36 by user phoronix.