Intel Linux Rocket Lake Graphics

Intel Gen12 Rocket Lake Linux graphics performance for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2103291-IB-INTELLINU95
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  Test
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Core i5 10600K
March 22 2021
  3 Hours, 48 Minutes
Core i9 10900K
March 21 2021
  3 Hours, 41 Minutes
Core i5 11600K
March 24 2021
  2 Hours, 55 Minutes
Core i9 11900K
March 25 2021
  3 Hours, 55 Minutes
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Intel Linux Rocket Lake GraphicsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900KIntel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F20d BIOS)Intel Comet Lake PCH32GB1000GB Western Digital WD_BLACK SN850 1TB + 2000GBGigabyte Intel CometLake-S GT2 [UHD 630] 3GB (1200MHz)Realtek ALC1220DELL P2415QIntel I225-V + Intel Comet Lake PCH CNVi WiFiUbuntu 21.045.12.0-051200rc3daily20210315-generic (x86_64) 20210314GNOME Shell 3.38.3X Server 1.20.9 + Wayland4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa)OpenCL 3.0GCC 10.2.1 20210312ext43840x2160Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Intel Core i5-11600K @ 4.90GHz (6 Cores / 12 Threads)ASUS ROG MAXIMUS XIII HERO (0610 BIOS)Intel Device 43efASUS Intel 3GB (1300MHz)Intel Device 43c82 x Intel I225-V + Intel Device 2725X Server 1.20.10 + WaylandIntel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads)Intel Tiger Lake-HIntel Tiger Lake-H HD AudioOpenBenchmarking.orgKernel Details- Core i9 10900K: Transparent Huge Pages: madvise- Core i5 10600K: Transparent Huge Pages: madvise- Core i5 11600K: i915.force_probe=4c8a - Transparent Huge Pages: madvise- Core i9 11900K: i915.force_probe=4c8a - Transparent Huge Pages: madviseEnvironment Details- DEBUGINFOD_URLS=Compiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-p9aljy/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 2.4.3- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 2.4.3- Core i5 11600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x39 - Thermald 2.4.3- Core i9 11900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x39 - Thermald 2.4.3Graphics Details- Core i9 10900K, Core i5 10600K: GLAMORPython Details- Python 3.9.2Security Details- Core i9 10900K: itlb_multihit: KVM: Mitigation of VMX disabled + 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 i5 10600K: itlb_multihit: KVM: Mitigation of VMX disabled + 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 i5 11600K: 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 11900K: 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 10900KCore i5 10600KCore i5 11600KCore i9 11900KResult OverviewPhoronix Test Suite100%172%245%317%FinanceBenchLeelaChessZeroPlaidMLParaViewViennaCLVkResampleSHOC Scalable HeterOgeneous ComputingRealSR-NCNNGpuTestMandelGPUWaifu2x-NCNN VulkanNCNNBasemark GPUclpeakJuliaGPUTesseract

Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900KPer Watt Result OverviewPhoronix Test Suite100%137%173%210%LeelaChessZeroMandelGPUPlaidMLViennaCLParaViewJuliaGPUTesseractclpeakSHOC Scalable HeterOgeneous ComputingBasemark GPUGpuTestP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Intel Linux Rocket Lake Graphicsbasemark: Vulkan - 1920 x 1080 - Mediumgputest: TessMark - 1920 x 1080 - Fullscreengputest: GiMark - 1920 x 1080 - Fullscreengputest: Triangle - 1920 x 1080 - Fullscreengputest: Plot3D - 1920 x 1080 - Fullscreentesseract: 1920 x 1080tesseract: 3840 x 2160plaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLlczero: OpenCLshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Max SP Flopsshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Triadncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - regnety_400mfinancebench: Black-Scholes OpenCLfinancebench: Monte-Carlo OpenCLclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Kernel Latencymandelgpu: GPUviennacl: OpenCL LU Factorizationrealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Novkresample: 2x - Singlewaifu2x-ncnn: 2x - 3 - Yeswaifu2x-ncnn: 2x - 3 - Nojuliagpu: GPUparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K68.63159582686724783896268.7580824.368539.517.5522728.942628.49151762.7856.780980.79510.386115.784316.184.903.814.333.835.891.5712.8264.9214.5512.0525.2823.9212.9436.6952674845.76428236.13458.8115.4129.0811929384.927.93801388.349175.645368.20368.0969.22656271716.722.42358.69566.67158382584380581201167.2127824.188209.497.5334126.359226.28241762.4256.770480.34370.38613.266520.225.774.505.664.467.471.7615.5168.4015.6913.1331.0828.8912.5136.5806004870.54663135.96457.8215.7229.0611927302.327.06811413.585179.066375.80668.6549.34355087705.122.16354.58980.14204210601084965105982474.6755626.1389016.8513.8262241.129741.77862613.2382.9337112.9720.71516.819918.015.024.094.433.856.421.413.9059.4713.8611.929.1725.6710.908.9261317.31601641.62593.8817.5224.2715526059.752.4827969.247123.136223.25354.4737.52165819712.543.89702.21281.64206110611110929107611774.4257326.0543621.4617.6249544.461445.97542613.3382.8420113.6710.71518.559916.144.673.763.783.675.851.3912.6456.7412.8411.2524.6323.2811.099.0161307.69379941.51593.9117.4823.4215377731.153.1101959.889121.995222.94254.1897.47264289425.544.46711.402OpenBenchmarking.org

Basemark GPU

This is a benchmark of Basemark GPU. For this test profile to work, you must have a valid license/copy of BasemarkGPU in your Phoronix Test Suite download cache. This test profile simply automates the execution of BasemarkGPU and you must already have the Windows .zip or Linux .tar.gz in the download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K20406080100SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 368.6366.6780.1481.64MIN: 34.64 / MAX: 154.93MIN: 34.31 / MAX: 148.53MIN: 41.37 / MAX: 145.25MIN: 38.28 / MAX: 148

GpuTest

GpuTest is a cross-platform OpenGL benchmark developed at Geeks3D.com that offers tech demos such as FurMark, TessMark, and other workloads to stress various areas of GPUs and drivers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: TessMark - Resolution: 1920 x 1080 - Mode: FullscreenCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K400800120016002000SE +/- 0.33, N = 3SE +/- 1.00, N = 31595158320422061

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: GiMark - Resolution: 1920 x 1080 - Mode: FullscreenCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K2004006008001000SE +/- 0.33, N = 382682510601061

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Triangle - Resolution: 1920 x 1080 - Mode: FullscreenCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K200K400K600K800K1000KSE +/- 1718.00, N = 3SE +/- 2213.55, N = 3SE +/- 4298.32, N = 3SE +/- 2363.25, N = 386724784380510849651110929

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Plot3D - Resolution: 1920 x 1080 - Mode: FullscreenCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K200K400K600K800K1000KSE +/- 3908.37, N = 3SE +/- 1476.15, N = 3SE +/- 4354.08, N = 3SE +/- 4064.55, N = 383896281201110598241076117

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 1080Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K20406080100SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.58, N = 3SE +/- 0.51, N = 368.7667.2174.6874.43

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 2160Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 324.3724.1926.1426.05

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: OpenCLCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 39.519.4916.8521.46

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.557.5313.8217.62

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 0.26Backend: OpenCLCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K130260390520650SE +/- 2.33, N = 3SE +/- 3.71, N = 3SE +/- 4.51, N = 3SE +/- 5.53, N = 42273416224951. (CXX) g++ options: -flto -pthread

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1020304050SE +/- 0.07, N = 13SE +/- 0.01, N = 13SE +/- 0.30, N = 15SE +/- 0.10, N = 1328.9426.3641.1344.461. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1020304050SE +/- 0.23, N = 15SE +/- 0.11, N = 15SE +/- 0.74, N = 15SE +/- 0.08, N = 1328.4926.2841.7845.981. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K6001200180024003000SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 31762.781762.422613.232613.331. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K20406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 356.7856.7782.9382.841. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K306090120150SE +/- 0.07, N = 7SE +/- 0.04, N = 6SE +/- 0.06, N = 12SE +/- 0.05, N = 1280.8080.34112.97113.671. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K0.16090.32180.48270.64360.8045SE +/- 0.0000, N = 3SE +/- 0.0000, N = 3SE +/- 0.0000, N = 3SE +/- 0.0000, N = 30.38610.38600.71500.71501. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: TriadCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K510152025SE +/- 0.03, N = 11SE +/- 0.06, N = 11SE +/- 0.03, N = 11SE +/- 0.02, N = 1115.7813.2716.8218.561. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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 20201218Target: Vulkan GPU - Model: mobilenetCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 816.1820.2218.0116.14MIN: 15.74 / MAX: 17.45MIN: 20.06 / MAX: 27.72MIN: 17.59 / MAX: 18.64MIN: 15.48 / MAX: 21.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1.29832.59663.89495.19326.4915SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 84.905.775.024.67MIN: 4.73 / MAX: 5.76MIN: 5.53 / MAX: 8.53MIN: 4.81 / MAX: 6.54MIN: 4.26 / MAX: 5.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1.01252.0253.03754.055.0625SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 83.814.504.093.76MIN: 3.74 / MAX: 4.75MIN: 4.43 / MAX: 5.45MIN: 3.98 / MAX: 5.01MIN: 3.43 / MAX: 4.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1.27352.5473.82055.0946.3675SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 84.335.664.433.78MIN: 4.27 / MAX: 5.11MIN: 5.6 / MAX: 6.6MIN: 4.34 / MAX: 5.45MIN: 3.67 / MAX: 4.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1.00352.0073.01054.0145.0175SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 83.834.463.853.67MIN: 3.78 / MAX: 10.74MIN: 4.38 / MAX: 5.53MIN: 3.74 / MAX: 5.02MIN: 3.36 / MAX: 4.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K246810SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 85.897.476.425.85MIN: 5.83 / MAX: 6.72MIN: 7.37 / MAX: 8.32MIN: 6.27 / MAX: 7.37MIN: 5.5 / MAX: 7.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K0.3960.7921.1881.5841.98SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 81.571.761.401.39MIN: 1.56 / MAX: 1.67MIN: 1.72 / MAX: 2.02MIN: 1.36 / MAX: 1.76MIN: 1.26 / MAX: 1.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K48121620SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 812.8215.5113.9012.64MIN: 12.48 / MAX: 13.1MIN: 15.41 / MAX: 15.73MIN: 13.71 / MAX: 14.89MIN: 11.69 / MAX: 13.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1530456075SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 864.9268.4059.4756.74MIN: 64.37 / MAX: 65.6MIN: 67.98 / MAX: 70.38MIN: 58.99 / MAX: 66.61MIN: 56.02 / MAX: 58.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K48121620SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 814.5515.6913.8612.84MIN: 14.17 / MAX: 17.09MIN: 15.5 / MAX: 16.02MIN: 13.63 / MAX: 21.03MIN: 11.84 / MAX: 13.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 812.0513.1311.9011.25MIN: 11.9 / MAX: 12.46MIN: 12.98 / MAX: 13.35MIN: 11.74 / MAX: 12.33MIN: 11 / MAX: 12.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K714212835SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 825.2831.0829.1724.63MIN: 24.66 / MAX: 25.79MIN: 30.74 / MAX: 31.77MIN: 28.81 / MAX: 29.96MIN: 24.23 / MAX: 25.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K714212835SE +/- 0.30, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 823.9228.8925.6723.28MIN: 23.28 / MAX: 31.1MIN: 28.77 / MAX: 29.42MIN: 25.07 / MAX: 26.41MIN: 22.54 / MAX: 25.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K3691215SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 812.9412.5110.9011.09MIN: 12.73 / MAX: 13.89MIN: 12.35 / MAX: 20.33MIN: 10.67 / MAX: 12.87MIN: 10.78 / MAX: 12.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K816243240SE +/- 0.142549, N = 15SE +/- 0.106999, N = 15SE +/- 0.011899, N = 13SE +/- 0.009309, N = 1336.69526736.5806008.9260009.0160001. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Monte-Carlo OpenCLCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K10002000300040005000SE +/- 10.19, N = 4SE +/- 7.58, N = 4SE +/- 0.57, N = 5SE +/- 0.16, N = 54845.764870.551317.321307.691. (CXX) g++ options: -O3 -march=native -fopenmp

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K918273645SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 336.1335.9641.6241.511. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K130260390520650SE +/- 0.04, N = 4SE +/- 0.28, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3458.81457.82593.88593.911. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K48121620SE +/- 0.06, N = 6SE +/- 0.05, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 615.4115.7217.5217.481. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K714212835SE +/- 0.04, N = 9SE +/- 0.06, N = 8SE +/- 0.12, N = 9SE +/- 0.04, N = 1029.0829.0624.2723.421. (CXX) g++ options: -O3 -rdynamic -lOpenCL

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K3M6M9M12M15MSE +/- 1044.15, N = 3SE +/- 2138.82, N = 3SE +/- 730.66, N = 3SE +/- 540.65, N = 311929384.911927302.315526059.715377731.11. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1224364860SE +/- 0.01, N = 10SE +/- 0.03, N = 10SE +/- 0.07, N = 11SE +/- 0.04, N = 1127.9427.0752.4853.111. (CXX) g++ options: -rdynamic -lOpenCL

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K30060090012001500SE +/- 2.33, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 31388.351413.59969.25959.89

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K4080120160200SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3175.65179.07123.14122.00

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K80160240320400SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3368.20375.81223.25222.941. (CXX) g++ options: -O3 -pthread

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1530456075SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 368.1068.6554.4754.19

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K3691215SE +/- 0.006, N = 5SE +/- 0.005, N = 5SE +/- 0.009, N = 6SE +/- 0.015, N = 69.2269.3437.5217.472

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUCore i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K14M28M42M56M70MSE +/- 564264.90, N = 3SE +/- 729961.08, N = 3SE +/- 53910.03, N = 3SE +/- 825108.54, N = 356271716.755087705.165819712.564289425.51. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K1020304050SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 322.4222.1643.8944.46

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080Core i9 10900KCore i5 10600KCore i5 11600KCore i9 11900K150300450600750SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 1.41, N = 3358.70354.59702.21711.40

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore i9 10900KCore i5 10600KCore i9 11900K4080120160200Min: 0.71 / Avg: 14.3 / Max: 46.03Min: 0.65 / Avg: 24.26 / Max: 56.19Min: 10.16 / Avg: 41.63 / Max: 229.07