Tigerlake Xe Gen12 to Gen8

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Gen9 - i7-8565U
October 21 2020
  9 Hours, 58 Minutes
Gen11 - i7-1065G7
October 20 2020
  8 Hours, 51 Minutes
Gen12 Xe - i7-1165G7
October 21 2020
  5 Hours, 34 Minutes
Gen8 - i7-5600U
October 22 2020
  8 Hours, 16 Minutes
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Tigerlake Xe Gen12 to Gen8ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UIntel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LP16GBSK hynix PC401 NVMe 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.105.9.1-050901-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.3.0-devel (git-fdbc45d 2020-10-21 groovy-oibaf-ppa)OpenCL 3.01.2.145GCC 10.2.0ext41920x1080Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34efKBG40ZPZ512G NVMe TOSHIBA 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHz4.6 Mesa 20.3.0-devel (git-4408131 2020-10-20 groovy-oibaf-ppa)1920x1200Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.3 BIOS)Intel Tiger Lake-LPKIOXIA KBG40ZNS256G NVMe 256GBIntel UHD 3GB (1300MHz)Intel Wi-Fi 6 AX2014.6 Mesa 20.3.0-devel (git-fdbc45d 2020-10-21 groovy-oibaf-ppa)Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)Intel Broadwell-U-OPI8GB128GB SAMSUNG MZNTE128Intel HD 5500 3GB (950MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 72654.6 Mesa 20.3.0-devel (git-81797fc 2020-10-22 groovy-oibaf-ppa)1920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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- Gen9 - i7-8565U: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- Gen11 - i7-1065G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3- Gen12 Xe - i7-1165G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- Gen8 - i7-5600U: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x2f - Thermald 2.3Python Details- Python 3.8.6Security Details- Gen9 - i7-8565U: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected - Gen11 - i7-1065G7: 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 - Gen12 Xe - i7-1165G7: 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 - Gen8 - i7-5600U: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600ULogarithmic Result OverviewPhoronix Test SuiteRealSR-NCNNFinanceBenchPlaidMLMandelGPULeelaChessZeroUnigine HeavenSHOC Scalable HeterOgeneous ComputingUnigine ValleyViennaCLGpuTestUnigine SuperpositionJuliaGPUNCNNTesseractWaifu2x-NCNN VulkanclpeakXonoticET: Legacy

Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UPer Watt Result OverviewPhoronix Test Suite100%200%299%399%499%LeelaChessZeroPlaidMLViennaCLSHOC Scalable HeterOgeneous ComputingP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Tigerlake Xe Gen12 to Gen8financebench: Black-Scholes OpenCLncnn: Vulkan GPU - vgg16plaidml: No - Inference - VGG19 - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - VGG16 - OpenCLshoc: OpenCL - Max SP Flopsshoc: OpenCL - MD5 Hashgputest: Pixmark Piano - 1920 x 1200 - Fullscreengputest: Pixmark Volplosion - 1920 x 1200 - Fullscreenmandelgpu: GPUplaidml: No - Inference - Inception V3 - OpenCLshoc: OpenCL - FFT SPlczero: OpenCLclpeak: Single-Precision Floatwaifu2x-ncnn: 2x - 3 - Yesncnn: Vulkan GPU - yolov4-tinyplaidml: No - Inference - ResNet 50 - OpenCLgputest: Furmark - 1920 x 1200 - Fullscreenoneapi-level-zero: Host-To-Device-To-Host Image Copyunigine-heaven: 1920 x 1200 - Fullscreen - OpenGLncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18unigine-valley: 1920 x 1200 - Fullscreen - OpenGLplaidml: No - Inference - Mobilenet - OpenCLoneapi-level-zero: Peak Half-Precision Computeviennacl: OpenCL LU Factorizationncnn: Vulkan GPU - mobilenetunigine-super: 1920 x 1200 - Fullscreen - Medium - OpenGLncnn: Vulkan GPU - alexnetunigine-super: 1920 x 1200 - Fullscreen - Low - OpenGLjuliagpu: GPUshoc: OpenCL - Texture Read Bandwidthncnn: Vulkan GPU - squeezenetoneapi-level-zero: Peak Integer Computewaifu2x-ncnn: 2x - 3 - Notesseract: 1920 x 1200clpeak: Global Memory Bandwidthoneapi-level-zero: Peak Single-Precision Computeplaidml: No - Inference - NASNer Large - OpenCLncnn: Vulkan GPU - googlenetxonotic: 1920 x 1200 - Ultimategputest: TessMark - 1920 x 1200 - Fullscreenncnn: Vulkan GPU - blazefacexonotic: 1920 x 1200 - Ultracl-mem: Readgputest: GiMark - 1920 x 1200 - Fullscreenxonotic: 1920 x 1200 - Highncnn: Vulkan GPU-v2-v2 - mobilenet-v2oneapi-level-zero: Peak Float16 Global Memory Bandwidthcl-mem: Copyncnn: Vulkan GPU-v3-v3 - mobilenet-v3xonotic: 1920 x 1200 - Lowplaidml: No - Inference - IMDB LSTM - OpenCLcl-mem: Writeoneapi-level-zero: Device-To-Host Bandwidthoneapi-level-zero: Device-To-Host Bandwidthoneapi-level-zero: Host-To-Device Bandwidthoneapi-level-zero: Host-To-Device Bandwidthncnn: Vulkan GPU - efficientnet-b0oneapi-level-zero: Peak System Memory Copy to Shared Memoryclpeak: Kernel Latencyetlegacy: Renderer2 - 1920 x 1200clpeak: Transfer Bandwidth enqueueWriteBufferncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2shoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Triadfinancebench: Monte-Carlo OpenCLrealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Nooneapi-level-zero: Peak Kernel Launch LatencyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U25.826923152.796.425.818.181681.190.369114939010702352.515.9038.9719389438.0675.25262.8134.526724.8377910.370151.4623.8911.4067116.08751.62324.674625.745.825.7712.247930812.654.262528.27138.51610.28865.2225126.73418.8621.8423.7271.606780428401.8193.209480022.71314111.67532188.2724.527621.69.19183.62112297.8424.019941.1913.46218319750.4713.59211916.5210.788334.1272.131.648.366.7523.931923.304810.92362584.7104491614.843202.60131.42246.34396.3216.0311.3019.935322.990.677828876123689428.634.82140.1625791038.5453.10338.9575.57106210.573616.136335.9117.1217.7436242.831352.0948.911722.369.016.6317.085184313.2174.16224.65153.1477.062109.466945.94920.2073.3118.6299.236508936021.81123.238392941.31724144.12078327.5334.752235.98.65209.160996020.1034.412232.8021.94393912241.3721.92861216.7213.808536.8986.439.487.655.7141.740640.164014.0210579.5237331120.001143.98828.95684.17938.4417.4922.4422.187820.561.6775584159544609194.646.37156.16215351774.8127.21615.2687.29178221.634528.645315.497.1830.6054299.603036.6873.81629.7416.49.4729.6132508055.1189.75711.51439.0024.095140.348657.021219.525.1410.51121.904137750800.98155.370884057.12017183.80281384.6256.939148.05.47307.634550130.5247.910057.4826.69018710048.5026.71416211.0515.085929.53122.352.155.143.0560.404858.414321.3040433.370858538.06568.31122.313029.835615237.213.033.903.861406.380.30961093038624284.09.0431.4218309362.1515.83272.2818.653956.4501268.1731.417.0912169.8918.489738.644.235.728.037370860.278.776140.2112.87145.2126518.5929.2246.392513719652.5361.675614180475.151832110.7311.15153.65760922.8420.6732.8260.718.2810.598.4512.127012.15406.12531031.74660655.15065.875OpenBenchmarking.org

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.051661, N = 15SE +/- 0.005073, N = 14SE +/- 0.010561, N = 13SE +/- 0.046004, N = 136.3430004.17900029.83561525.8269231. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 6.07 / Avg: 6.34 / Max: 6.72Min: 4.15 / Avg: 4.18 / Max: 4.21Min: 29.8 / Avg: 29.84 / Max: 29.93Min: 25.53 / Avg: 25.83 / Max: 26.011. (CXX) g++ options: -O3 -lOpenCL

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 20200916Target: Vulkan GPU - Model: vgg16Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U50100150200250SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 396.3238.44237.21152.79MIN: 92.64 / MAX: 97.57MIN: 38.09 / MAX: 38.78MIN: 235.78 / MAX: 239.25MIN: 151.88 / MAX: 153.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U4080120160200Min: 96.27 / Avg: 96.32 / Max: 96.41Min: 38.42 / Avg: 38.44 / Max: 38.46Min: 236.75 / Avg: 237.21 / Max: 237.68Min: 152.69 / Avg: 152.79 / Max: 152.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U48121620SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 316.0317.493.036.42
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U48121620Min: 15.79 / Avg: 16.03 / Max: 16.43Min: 17.46 / Avg: 17.49 / Max: 17.54Min: 3.03 / Avg: 3.03 / Max: 3.04Min: 6.41 / Avg: 6.42 / Max: 6.43

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.3022.443.905.81
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025Min: 11.15 / Avg: 11.3 / Max: 11.41Min: 22.33 / Avg: 22.44 / Max: 22.63Min: 3.88 / Avg: 3.9 / Max: 3.91Min: 5.79 / Avg: 5.81 / Max: 5.83

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025SE +/- 0.34, N = 12SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 319.9322.183.868.18
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025Min: 19.26 / Avg: 19.93 / Max: 23.6Min: 22.14 / Avg: 22.18 / Max: 22.25Min: 3.85 / Avg: 3.86 / Max: 3.88Min: 8.06 / Avg: 8.18 / Max: 8.32

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.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U2K4K6K8K10KSE +/- 4.39, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.77, N = 35322.997820.561406.381681.191. (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 FlopsGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U14002800420056007000Min: 5315.45 / Avg: 5322.99 / Max: 5330.67Min: 7820.45 / Avg: 7820.56 / Max: 7820.77Min: 1406.2 / Avg: 1406.38 / Max: 1406.58Min: 1680.06 / Avg: 1681.19 / Max: 1682.671. (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 HashGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U0.37740.75481.13221.50961.887SE +/- 0.0004, N = 3SE +/- 0.0003, N = 5SE +/- 0.0000, N = 3SE +/- 0.0000, N = 30.67781.67750.30960.36911. (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 HashGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U246810Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.37 / Avg: 0.37 / Max: 0.371. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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: Pixmark Piano - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U130260390520650SE +/- 1.67, N = 3SE +/- 6.51, N = 3SE +/- 0.88, N = 3288584109149
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Piano - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U100200300400500Min: 286 / Avg: 287.67 / Max: 291Min: 577 / Avg: 584 / Max: 597Min: 108 / Avg: 109.33 / Max: 111

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500SE +/- 5.03, N = 3SE +/- 14.67, N = 3SE +/- 2.00, N = 37611595303390
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500Min: 755 / Avg: 761 / Max: 771Min: 1580 / Avg: 1594.67 / Max: 1624Min: 301 / Avg: 303 / Max: 307

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: GPUGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U10M20M30M40M50MSE +/- 231636.76, N = 3SE +/- 304086.94, N = 3SE +/- 4696.91, N = 3SE +/- 1337.29, N = 323689428.644609194.68624284.010702352.51. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U8M16M24M32M40MMin: 23415405.6 / Avg: 23689428.6 / Max: 24149937.1Min: 44245993.8 / Avg: 44609194.63 / Max: 45213252.7Min: 8617865.2 / Avg: 8624284.03 / Max: 8633433.3Min: 10699691.6 / Avg: 10702352.5 / Max: 10703916.91. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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: Inception V3 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1122334455SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 334.8246.379.0415.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U918273645Min: 34.68 / Avg: 34.82 / Max: 34.9Min: 46.33 / Avg: 46.37 / Max: 46.45Min: 9 / Avg: 9.04 / Max: 9.07Min: 15.72 / Avg: 15.9 / Max: 16.22

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.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150SE +/- 0.23, N = 11SE +/- 0.34, N = 12SE +/- 0.04, N = 5SE +/- 0.05, N = 7140.16156.1631.4238.971. (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 SPGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150Min: 138.96 / Avg: 140.16 / Max: 141.42Min: 154.26 / Avg: 156.16 / Max: 157.89Min: 31.35 / Avg: 31.42 / Max: 31.55Min: 38.84 / Avg: 38.97 / Max: 39.131. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500SE +/- 8.08, N = 3SE +/- 7.84, N = 3SE +/- 1.15, N = 3SE +/- 5.24, N = 357915353093891. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500Min: 565 / Avg: 579 / Max: 593Min: 1527 / Avg: 1535.33 / Max: 1551Min: 307 / Avg: 309 / Max: 311Min: 379 / Avg: 389.33 / Max: 3961. (CXX) g++ options: -flto -pthread

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U400800120016002000SE +/- 0.62, N = 3SE +/- 0.10, N = 4SE +/- 0.10, N = 3SE +/- 0.06, N = 41038.541774.81362.15438.061. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500Min: 1037.44 / Avg: 1038.54 / Max: 1039.6Min: 1774.53 / Avg: 1774.81 / Max: 1774.97Min: 362.03 / Avg: 362.15 / Max: 362.35Min: 437.94 / Avg: 438.06 / Max: 438.21. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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: YesGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20406080100SE +/- 0.64, N = 6SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 353.1027.2215.8375.25
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1428425670Min: 49.89 / Avg: 53.1 / Max: 53.87Min: 27.17 / Avg: 27.22 / Max: 27.25Min: 15.59 / Avg: 15.83 / Max: 15.96Min: 75.2 / Avg: 75.25 / Max: 75.29

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 20200916Target: Vulkan GPU - Model: yolov4-tinyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1632486480SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 338.9515.2672.2862.81MIN: 32.02 / MAX: 43.37MIN: 14.84 / MAX: 15.7MIN: 65 / MAX: 78MIN: 48.56 / MAX: 92.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1428425670Min: 38.76 / Avg: 38.95 / Max: 39.28Min: 15.23 / Avg: 15.26 / Max: 15.3Min: 72.2 / Avg: 72.28 / Max: 72.34Min: 62.32 / Avg: 62.81 / Max: 63.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20406080100SE +/- 1.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.36, N = 375.5787.2918.6534.52
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20406080100Min: 74.16 / Avg: 75.57 / Max: 77.66Min: 87.22 / Avg: 87.29 / Max: 87.35Min: 18.63 / Avg: 18.65 / Max: 18.66Min: 33.98 / Avg: 34.52 / Max: 35.2

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: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U400800120016002000SE +/- 15.32, N = 3SE +/- 23.44, N = 4SE +/- 3.18, N = 3SE +/- 8.41, N = 310621782395672
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500Min: 1036 / Avg: 1061.67 / Max: 1089Min: 1753 / Avg: 1782 / Max: 1852Min: 389 / Avg: 395.33 / Max: 399Min: 658 / Avg: 671.67 / Max: 687

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U510152025SE +/- 0.13517, N = 5SE +/- 0.08874, N = 5SE +/- 0.01750, N = 310.5736021.634504.837791. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U510152025Min: 10.32 / Avg: 10.57 / Max: 11.08Min: 21.44 / Avg: 21.63 / Max: 21.86Min: 4.8 / Avg: 4.84 / Max: 4.861. (CXX) g++ options: -ldl -pthread

Unigine Heaven

This test calculates the average frame-rate within the Heaven demo for the Unigine engine. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.24103, N = 9SE +/- 0.06619, N = 3SE +/- 0.00535, N = 3SE +/- 0.01623, N = 316.1363028.645306.4501210.37010
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U612182430Min: 15.53 / Avg: 16.14 / Max: 17.82Min: 28.56 / Avg: 28.65 / Max: 28.78Min: 6.44 / Avg: 6.45 / Max: 6.46Min: 10.34 / Avg: 10.37 / Max: 10.39

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 20200916Target: Vulkan GPU - Model: resnet50Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1530456075SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 335.9115.4968.1751.46MIN: 35.46 / MAX: 36.57MIN: 15.23 / MAX: 15.68MIN: 67.25 / MAX: 68.84MIN: 50.23 / MAX: 52.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1326395265Min: 35.87 / Avg: 35.91 / Max: 36Min: 15.46 / Avg: 15.49 / Max: 15.51Min: 68.14 / Avg: 68.17 / Max: 68.19Min: 51.42 / Avg: 51.46 / Max: 51.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 317.127.1831.4123.89MIN: 16.86 / MAX: 17.76MIN: 6.79 / MAX: 7.65MIN: 30.83 / MAX: 31.87MIN: 23.4 / MAX: 24.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 17.09 / Avg: 17.12 / Max: 17.15Min: 7.14 / Avg: 7.18 / Max: 7.22Min: 31.39 / Avg: 31.41 / Max: 31.45Min: 23.89 / Avg: 23.89 / Max: 23.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unigine Valley

This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.11403, N = 3SE +/- 0.08313, N = 3SE +/- 0.00606, N = 3SE +/- 0.06495, N = 317.7436030.605407.0912111.40670
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 17.6 / Avg: 17.74 / Max: 17.97Min: 30.51 / Avg: 30.61 / Max: 30.77Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 11.33 / Avg: 11.41 / Max: 11.54

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: Mobilenet - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U70140210280350SE +/- 3.34, N = 3SE +/- 0.92, N = 3SE +/- 0.44, N = 3SE +/- 0.03, N = 3242.83299.6069.89116.08
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U50100150200250Min: 236.36 / Avg: 242.83 / Max: 247.48Min: 298.38 / Avg: 299.6 / Max: 301.41Min: 69.44 / Avg: 69.89 / Max: 70.76Min: 116.03 / Avg: 116.08 / Max: 116.14

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U7001400210028003500SE +/- 19.85, N = 3SE +/- 1.09, N = 3SE +/- 0.53, N = 31352.093036.68751.621. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U5001000150020002500Min: 1319.49 / Avg: 1352.09 / Max: 1388.02Min: 3034.49 / Avg: 3036.68 / Max: 3037.78Min: 750.58 / Avg: 751.62 / Max: 752.351. (CXX) g++ options: -ldl -pthread

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 FactorizationGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1632486480SE +/- 0.20, N = 10SE +/- 0.09, N = 11SE +/- 0.02, N = 8SE +/- 0.03, N = 948.9173.8218.4924.671. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1428425670Min: 48.12 / Avg: 48.91 / Max: 49.85Min: 73.34 / Avg: 73.82 / Max: 74.41Min: 18.4 / Avg: 18.49 / Max: 18.53Min: 24.54 / Avg: 24.67 / Max: 24.771. (CXX) g++ options: -rdynamic -lOpenCL

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 20200916Target: Vulkan GPU - Model: mobilenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U918273645SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.39, N = 322.369.7438.6425.74MIN: 19.29 / MAX: 35.76MIN: 9.4 / MAX: 29.44MIN: 33.79 / MAX: 43.39MIN: 24.44 / MAX: 35.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240Min: 21.97 / Avg: 22.36 / Max: 22.65Min: 9.64 / Avg: 9.74 / Max: 9.87Min: 38.6 / Avg: 38.64 / Max: 38.7Min: 24.97 / Avg: 25.74 / Max: 26.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U48121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 39.016.44.25.8MAX: 10.8MAX: 21.3MAX: 5.1MAX: 7.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U48121620Min: 9 / Avg: 9.03 / Max: 9.1Min: 16.4 / Avg: 16.4 / Max: 16.4Min: 4.1 / Avg: 4.17 / Max: 4.2Min: 5.8 / Avg: 5.83 / Max: 5.9

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 20200916Target: Vulkan GPU - Model: alexnetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 316.639.4735.7225.77MIN: 15.99 / MAX: 17.2MIN: 8.7 / MAX: 9.75MIN: 35.3 / MAX: 37.06MIN: 25.1 / MAX: 26.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240Min: 16.57 / Avg: 16.63 / Max: 16.68Min: 9.46 / Avg: 9.47 / Max: 9.48Min: 35.67 / Avg: 35.72 / Max: 35.8Min: 25.75 / Avg: 25.77 / Max: 25.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 317.029.68.012.2MAX: 23.3MAX: 40.6MAX: 10.3MAX: 15.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 16.9 / Avg: 17.03 / Max: 17.2Min: 29.5 / Avg: 29.63 / Max: 29.9Min: 7.9 / Avg: 7.97 / Max: 8Min: 12.1 / Avg: 12.17 / Max: 12.2

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: GPUGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30M60M90M120M150MSE +/- 1031557.09, N = 6SE +/- 1753385.91, N = 4SE +/- 320871.56, N = 12SE +/- 3375.98, N = 385184313.2132508055.137370860.247930812.61. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm
OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20M40M60M80M100MMin: 83742969.3 / Avg: 85184313.18 / Max: 90315528Min: 129483633.2 / Avg: 132508055.1 / Max: 137491728.3Min: 36752652.4 / Avg: 37370860.15 / Max: 40136555.6Min: 47925190.5 / Avg: 47930812.6 / Max: 47936861.81. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

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: Texture Read BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U4080120160200SE +/- 1.66, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3174.16189.7678.7854.261. (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 BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150Min: 171.98 / Avg: 174.16 / Max: 177.43Min: 189.73 / Avg: 189.76 / Max: 189.8Min: 78.39 / Avg: 78.78 / Max: 79.07Min: 54.24 / Avg: 54.26 / Max: 54.281. (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 20200916Target: Vulkan GPU - Model: squeezenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U918273645SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.40, N = 3SE +/- 0.06, N = 324.6511.5140.2128.27MIN: 21.12 / MAX: 29.29MIN: 11.25 / MAX: 13.33MIN: 38.46 / MAX: 49.96MIN: 27.92 / MAX: 40.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240Min: 24.12 / Avg: 24.65 / Max: 25.22Min: 11.47 / Avg: 11.51 / Max: 11.55Min: 39.76 / Avg: 40.21 / Max: 41.02Min: 28.18 / Avg: 28.27 / Max: 28.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Integer ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U100200300400500SE +/- 2.13, N = 3SE +/- 1.34, N = 3SE +/- 1.20, N = 12153.15439.00138.521. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Integer ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U80160240320400Min: 150.54 / Avg: 153.15 / Max: 157.37Min: 436.72 / Avg: 439 / Max: 441.36Min: 131.1 / Avg: 138.52 / Max: 144.641. (CXX) g++ options: -ldl -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: NoGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215SE +/- 0.025, N = 6SE +/- 0.013, N = 8SE +/- 0.057, N = 3SE +/- 0.026, N = 57.0624.09512.87110.288
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U48121620Min: 6.99 / Avg: 7.06 / Max: 7.16Min: 4.05 / Avg: 4.1 / Max: 4.14Min: 12.81 / Avg: 12.87 / Max: 12.99Min: 10.21 / Avg: 10.29 / Max: 10.34

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 1200Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150SE +/- 1.48, N = 3SE +/- 0.87, N = 3SE +/- 0.29, N = 3SE +/- 0.46, N = 3109.47140.3545.2165.22
OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 1200Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150Min: 106.53 / Avg: 109.47 / Max: 111.27Min: 139.38 / Avg: 140.35 / Max: 142.08Min: 44.72 / Avg: 45.21 / Max: 45.71Min: 64.48 / Avg: 65.22 / Max: 66.06

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 BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1326395265SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.09, N = 345.9457.0218.5926.731. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1122334455Min: 45.89 / Avg: 45.94 / Max: 45.99Min: 56.97 / Avg: 57.02 / Max: 57.06Min: 18.55 / Avg: 18.59 / Max: 18.64Min: 26.62 / Avg: 26.73 / Max: 26.911. (CXX) g++ options: -O3 -rdynamic -lOpenCL

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak Single-Precision ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U30060090012001500SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 1.60, N = 3920.211219.52418.861. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak Single-Precision ComputeGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U2004006008001000Min: 920.1 / Avg: 920.21 / Max: 920.31Min: 1219.51 / Avg: 1219.52 / Max: 1219.52Min: 416.59 / Avg: 418.86 / Max: 421.951. (CXX) g++ options: -ldl -pthread

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: NASNer Large - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1.15652.3133.46954.6265.7825SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.315.141.84
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U246810Min: 3.3 / Avg: 3.31 / Max: 3.32Min: 5.14 / Avg: 5.14 / Max: 5.14Min: 1.83 / Avg: 1.84 / Max: 1.85

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 20200916Target: Vulkan GPU - Model: googlenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 318.6210.5129.2223.72MIN: 18.42 / MAX: 19.34MIN: 10.37 / MAX: 11.21MIN: 28.42 / MAX: 30.12MIN: 22.59 / MAX: 27.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U612182430Min: 18.61 / Avg: 18.62 / Max: 18.63Min: 10.48 / Avg: 10.51 / Max: 10.57Min: 29.2 / Avg: 29.22 / Max: 29.24Min: 23.64 / Avg: 23.72 / Max: 23.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 1920 x 1200 - Effects Quality: UltimateGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150SE +/- 1.54, N = 3SE +/- 1.05, N = 3SE +/- 0.04, N = 3SE +/- 0.44, N = 399.24121.9046.3971.61MIN: 30 / MAX: 197MIN: 37 / MAX: 232MIN: 23 / MAX: 74MIN: 26 / MAX: 115
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: UltimateGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20406080100Min: 97.66 / Avg: 99.24 / Max: 102.32Min: 120.74 / Avg: 121.9 / Max: 124Min: 46.33 / Avg: 46.39 / Max: 46.48Min: 70.93 / Avg: 71.61 / Max: 72.44

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 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U11002200330044005500SE +/- 27.39, N = 3SE +/- 25.03, N = 3SE +/- 11.68, N = 3SE +/- 25.17, N = 33602508019652840
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: TessMark - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U9001800270036004500Min: 3567 / Avg: 3602 / Max: 3656Min: 5053 / Avg: 5080 / Max: 5130Min: 1950 / Avg: 1965 / Max: 1988Min: 2790 / Avg: 2840.33 / Max: 2866

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 20200916Target: Vulkan GPU - Model: blazefaceGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U0.56931.13861.70792.27722.8465SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 31.810.982.531.81MIN: 1.58 / MAX: 4.55MIN: 0.88 / MAX: 1.17MIN: 2.3 / MAX: 6.32MIN: 1.66 / MAX: 3.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U246810Min: 1.77 / Avg: 1.81 / Max: 1.83Min: 0.94 / Avg: 0.98 / Max: 1Min: 2.45 / Avg: 2.53 / Max: 2.61Min: 1.74 / Avg: 1.81 / Max: 1.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 1920 x 1200 - Effects Quality: UltraGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150SE +/- 1.82, N = 3SE +/- 1.36, N = 3SE +/- 0.16, N = 3SE +/- 0.52, N = 3123.24155.3761.6893.21MIN: 71 / MAX: 245MIN: 79 / MAX: 269MIN: 33 / MAX: 92MIN: 52 / MAX: 133
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: UltraGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150Min: 120.62 / Avg: 123.24 / Max: 126.74Min: 153.98 / Avg: 155.37 / Max: 158.1Min: 61.51 / Avg: 61.68 / Max: 62Min: 92.2 / Avg: 93.21 / Max: 93.92

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1326395265SE +/- 0.17, N = 3SE +/- 0.75, N = 3SE +/- 0.23, N = 341.357.122.71. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1122334455Min: 41 / Avg: 41.33 / Max: 41.5Min: 55.6 / Avg: 57.1 / Max: 57.9Min: 22.3 / Avg: 22.73 / Max: 23.11. (CC) gcc options: -O2 -flto -lOpenCL

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: GiMark - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U400800120016002000SE +/- 9.94, N = 3SE +/- 1.53, N = 3SE +/- 4.26, N = 3SE +/- 6.33, N = 3172420178041314
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: GiMark - Resolution: 1920 x 1200 - Mode: FullscreenGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U400800120016002000Min: 1704 / Avg: 1723.67 / Max: 1736Min: 2014 / Avg: 2017 / Max: 2019Min: 798 / Avg: 803.67 / Max: 812Min: 1305 / Avg: 1313.67 / Max: 1326

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: 1920 x 1200 - Effects Quality: HighGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U4080120160200SE +/- 2.36, N = 3SE +/- 2.55, N = 3SE +/- 0.16, N = 3SE +/- 0.86, N = 3144.12183.8075.15111.68MIN: 94 / MAX: 283MIN: 106 / MAX: 306MIN: 46 / MAX: 105MIN: 78 / MAX: 154
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: HighGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150Min: 141.26 / Avg: 144.12 / Max: 148.8Min: 181.24 / Avg: 183.8 / Max: 188.9Min: 74.9 / Avg: 75.15 / Max: 75.46Min: 110.81 / Avg: 111.68 / Max: 113.4

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 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 37.534.6210.738.27MIN: 7.07 / MAX: 8.39MIN: 4 / MAX: 5.44MIN: 10.3 / MAX: 11.98MIN: 7.97 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215Min: 7.44 / Avg: 7.53 / Max: 7.63Min: 4.54 / Avg: 4.62 / Max: 4.74Min: 10.71 / Avg: 10.73 / Max: 10.77Min: 8.22 / Avg: 8.27 / Max: 8.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak Float16 Global Memory BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1326395265SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 334.7556.9424.531. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak Float16 Global Memory BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1122334455Min: 34.74 / Avg: 34.75 / Max: 34.77Min: 56.61 / Avg: 56.94 / Max: 57.13Min: 24.16 / Avg: 24.53 / Max: 25.131. (CXX) g++ options: -ldl -pthread

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1122334455SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 335.948.021.61. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1020304050Min: 35.7 / Avg: 35.9 / Max: 36Min: 47.9 / Avg: 47.97 / Max: 48Min: 21.3 / Avg: 21.63 / Max: 22.11. (CC) gcc options: -O2 -flto -lOpenCL

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 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 38.655.4711.159.19MIN: 8.33 / MAX: 9.56MIN: 5.23 / MAX: 6.31MIN: 10.48 / MAX: 12.33MIN: 8.92 / MAX: 9.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215Min: 8.64 / Avg: 8.65 / Max: 8.67Min: 5.39 / Avg: 5.47 / Max: 5.54Min: 11.05 / Avg: 11.15 / Max: 11.2Min: 9.17 / Avg: 9.19 / Max: 9.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 1920 x 1200 - Effects Quality: LowGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U70140210280350SE +/- 2.16, N = 8SE +/- 3.15, N = 8SE +/- 0.73, N = 3SE +/- 0.13, N = 3209.16307.63153.66183.62MIN: 123 / MAX: 473MIN: 184 / MAX: 693MIN: 100 / MAX: 246MIN: 122 / MAX: 299
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: LowGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U60120180240300Min: 201.59 / Avg: 209.16 / Max: 221.78Min: 302.43 / Avg: 307.63 / Max: 329.26Min: 152.48 / Avg: 153.66 / Max: 154.99Min: 183.45 / Avg: 183.62 / Max: 183.89

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: IMDB LSTM - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835SE +/- 0.11, N = 3SE +/- 0.40, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 320.1030.522.847.84
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 19.92 / Avg: 20.1 / Max: 20.3Min: 29.74 / Avg: 30.52 / Max: 31.09Min: 2.79 / Avg: 2.84 / Max: 2.93Min: 7.8 / Avg: 7.84 / Max: 7.87

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1122334455SE +/- 0.44, N = 15SE +/- 0.22, N = 3SE +/- 0.32, N = 434.447.924.01. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1020304050Min: 33.4 / Avg: 34.35 / Max: 39.3Min: 47.6 / Avg: 47.87 / Max: 48.3Min: 23.5 / Avg: 24 / Max: 24.91. (CC) gcc options: -O2 -flto -lOpenCL

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U4K8K12K16K20KSE +/- 7.46, N = 4SE +/- 7.70, N = 5SE +/- 110.24, N = 312232.8010057.4819941.191. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U3K6K9K12K15KMin: 12212.77 / Avg: 12232.8 / Max: 12244.86Min: 10048.25 / Avg: 10057.48 / Max: 10088.19Min: 19721.74 / Avg: 19941.19 / Max: 20069.31. (CXX) g++ options: -ldl -pthread

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U612182430SE +/- 0.01, N = 4SE +/- 0.02, N = 5SE +/- 0.07, N = 321.9426.6913.461. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U612182430Min: 21.92 / Avg: 21.94 / Max: 21.98Min: 26.61 / Avg: 26.69 / Max: 26.71Min: 13.38 / Avg: 13.46 / Max: 13.611. (CXX) g++ options: -ldl -pthread

OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U4K8K12K16K20KSE +/- 11.31, N = 4SE +/- 12.59, N = 5SE +/- 105.37, N = 312241.3710048.5019750.471. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U3K6K9K12K15KMin: 12220.77 / Avg: 12241.37 / Max: 12270.4Min: 10006.37 / Avg: 10048.5 / Max: 10084.79Min: 19594.8 / Avg: 19750.47 / Max: 19951.331. (CXX) g++ options: -ldl -pthread

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U612182430SE +/- 0.02, N = 4SE +/- 0.03, N = 5SE +/- 0.07, N = 321.9326.7113.591. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U612182430Min: 21.88 / Avg: 21.93 / Max: 21.97Min: 26.62 / Avg: 26.71 / Max: 26.83Min: 13.45 / Avg: 13.59 / Max: 13.71. (CXX) g++ options: -ldl -pthread

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 20200916Target: Vulkan GPU - Model: efficientnet-b0Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 316.7211.0520.6716.52MIN: 16.57 / MAX: 17.26MIN: 10.93 / MAX: 11.86MIN: 20.39 / MAX: 21.48MIN: 15.6 / MAX: 17.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025Min: 16.71 / Avg: 16.72 / Max: 16.75Min: 11.01 / Avg: 11.05 / Max: 11.09Min: 20.62 / Avg: 20.67 / Max: 20.73Min: 16.5 / Avg: 16.52 / Max: 16.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak System Memory Copy to Shared MemoryGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U48121620SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 913.8115.0910.791. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak System Memory Copy to Shared MemoryGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U48121620Min: 13.78 / Avg: 13.81 / Max: 13.86Min: 15.01 / Avg: 15.09 / Max: 15.17Min: 10.23 / Avg: 10.79 / Max: 11.321. (CXX) g++ options: -ldl -pthread

clpeak

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

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240SE +/- 0.08, N = 9SE +/- 0.05, N = 9SE +/- 0.27, N = 3SE +/- 0.28, N = 836.8929.5332.8234.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U816243240Min: 36.56 / Avg: 36.89 / Max: 37.19Min: 29.23 / Avg: 29.53 / Max: 29.68Min: 32.45 / Avg: 32.82 / Max: 33.35Min: 33.57 / Avg: 34.12 / Max: 35.991. (CXX) g++ options: -O3 -rdynamic -lOpenCL

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringGen12 Xe - i7-1165G7Gen9 - i7-8565U1224364860Min: 0.95 / Avg: 20.57 / Max: 63.06Min: 0.31 / Avg: 26.76 / Max: 63.03

ET: Legacy

MinAvgMaxGen11 - i7-1065G71.716.030.9Gen12 Xe - i7-1165G71.521.933.4Gen9 - i7-8565U1.021.125.6OpenBenchmarking.orgWatts, Fewer Is BetterET: Legacy 2.75CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterET: Legacy 2.75Renderer: Renderer2 - Resolution: 1920 x 1200Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U1.25782.51563.77345.03126.2895.405.593.41

clpeak

MinAvgMaxGen11 - i7-1065G71.511.418.0Gen12 Xe - i7-1165G71.315.226.0Gen9 - i7-8565U0.712.221.7OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor816243240

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U0.77631.55262.32893.10523.88153.453.442.60

SHOC Scalable HeterOgeneous Computing

MinAvgMaxGen11 - i7-1065G71.06.123.7Gen12 Xe - i7-1165G71.28.226.7Gen8 - i7-5600U0.25.120.4Gen9 - i7-8565U0.78.934.7OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U2468106.827.392.372.69

MinAvgMaxGen11 - i7-1065G70.95.923.7Gen12 Xe - i7-1165G71.08.326.9Gen8 - i7-5600U0.25.019.2Gen9 - i7-8565U0.38.835.3OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U2468106.847.042.422.65

MinAvgMaxGen11 - i7-1065G71.08.320.9Gen12 Xe - i7-1165G71.011.131.8Gen8 - i7-5600U0.16.916.3Gen9 - i7-8565U0.611.931.2OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor918273645

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: TriadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U0.4320.8641.2961.7282.161.681.920.880.92

FinanceBench

MinAvgMaxGen11 - i7-1065G70.912.931.9Gen12 Xe - i7-1165G71.315.932.7Gen8 - i7-5600U0.17.916.8Gen9 - i7-8565U0.714.822.7OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-06-06CPU Power Consumption Monitor1020304050

RealSR-NCNN

OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption MonitorGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U714212835Min: 0.99 / Avg: 15.84 / Max: 22.6Min: 1.45 / Avg: 22.26 / Max: 26.61Min: 0.13 / Avg: 14.32 / Max: 16.8Min: 0.82 / Avg: 25.69 / Max: 29.43

MinAvgMaxGen11 - i7-1065G71.015.522.7Gen12 Xe - i7-1165G71.522.126.6Gen8 - i7-5600U0.114.516.9Gen9 - i7-8565U0.725.730.7OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption Monitor918273645

oneAPI Level Zero Tests

MinAvgMaxGen11 - i7-1065G71.06.622.9Gen12 Xe - i7-1165G71.38.528.9Gen9 - i7-8565U0.58.333.4OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1020304050

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 2.75Renderer: Renderer2 - Resolution: 1920 x 1200Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U306090120150SE +/- 1.84, N = 15SE +/- 1.11, N = 10SE +/- 0.26, N = 3SE +/- 0.06, N = 386.4122.360.772.1
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.75Renderer: Renderer2 - Resolution: 1920 x 1200Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U20406080100Min: 83.6 / Avg: 86.36 / Max: 111.7Min: 120.5 / Avg: 122.32 / Max: 132.2Min: 60.2 / Avg: 60.67 / Max: 61.1Min: 72 / Avg: 72.1 / Max: 72.2

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: Transfer Bandwidth enqueueWriteBufferGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1224364860SE +/- 0.65, N = 15SE +/- 0.21, N = 6SE +/- 0.01, N = 3SE +/- 0.01, N = 539.4852.1518.2831.641. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1020304050Min: 36.74 / Avg: 39.48 / Max: 42.8Min: 51.63 / Avg: 52.15 / Max: 52.77Min: 18.27 / Avg: 18.28 / Max: 18.29Min: 31.62 / Avg: 31.64 / Max: 31.661. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 20200916Target: Vulkan GPU - Model: mnasnetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 37.655.1410.598.36MIN: 7.11 / MAX: 8.41MIN: 4.27 / MAX: 6.74MIN: 10.14 / MAX: 10.95MIN: 8.28 / MAX: 9.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215Min: 7.56 / Avg: 7.65 / Max: 7.71Min: 4.77 / Avg: 5.14 / Max: 5.71Min: 10.55 / Avg: 10.59 / Max: 10.64Min: 8.33 / Avg: 8.36 / Max: 8.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.41, N = 3SE +/- 0.02, N = 35.713.058.456.75MIN: 5.41 / MAX: 10.95MIN: 2.89 / MAX: 3.33MIN: 7.51 / MAX: 9.49MIN: 6.07 / MAX: 7.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Gen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U3691215Min: 5.66 / Avg: 5.71 / Max: 5.77Min: 3.03 / Avg: 3.05 / Max: 3.08Min: 8.02 / Avg: 8.45 / Max: 9.27Min: 6.72 / Avg: 6.75 / Max: 6.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 ReadbackGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1428425670SE +/- 0.42, N = 15SE +/- 0.18, N = 12SE +/- 0.08, N = 11SE +/- 0.57, N = 1541.7460.4012.1323.931. (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 ReadbackGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1224364860Min: 40.54 / Avg: 41.74 / Max: 45.95Min: 59.28 / Avg: 60.4 / Max: 61.18Min: 11.45 / Avg: 12.13 / Max: 12.5Min: 20.97 / Avg: 23.93 / Max: 26.091. (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 DownloadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1326395265SE +/- 0.11, N = 13SE +/- 0.44, N = 15SE +/- 0.09, N = 11SE +/- 0.52, N = 1540.1658.4112.1523.301. (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 DownloadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U1224364860Min: 39.37 / Avg: 40.16 / Max: 40.78Min: 56.93 / Avg: 58.41 / Max: 64.42Min: 11.75 / Avg: 12.15 / Max: 12.75Min: 20.96 / Avg: 23.3 / Max: 26.191. (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: TriadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025SE +/- 0.2694, N = 15SE +/- 0.1247, N = 11SE +/- 0.0106, N = 9SE +/- 0.1918, N = 1514.021021.30406.125310.92361. (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: TriadGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U510152025Min: 12.88 / Avg: 14.02 / Max: 15.95Min: 20.49 / Avg: 21.3 / Max: 22.25Min: 6.09 / Avg: 6.13 / Max: 6.19Min: 9.66 / Avg: 10.92 / Max: 11.851. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U6001200180024003000SE +/- 11.47, N = 15SE +/- 1.46, N = 7SE +/- 1.01, N = 5SE +/- 55.58, N = 15579.52433.371031.752584.711. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U400800120016002000Min: 471.23 / Avg: 579.52 / Max: 610.34Min: 424.65 / Avg: 433.37 / Max: 435.34Min: 1029.92 / Avg: 1031.75 / Max: 1034.65Min: 1997.48 / Avg: 2584.71 / Max: 2688.691. (CXX) g++ options: -O3 -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: YesGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500SE +/- 3.12, N = 3SE +/- 1.30, N = 3SE +/- 17.10, N = 12SE +/- 2.33, N = 31120.00538.0755.151614.84
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U30060090012001500Min: 1115.44 / Avg: 1120 / Max: 1125.97Min: 535.62 / Avg: 538.07 / Max: 540.03Min: 16.87 / Avg: 55.15 / Max: 164.92Min: 1610.9 / Avg: 1614.84 / Max: 1618.97

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U4080120160200SE +/- 0.34, N = 3SE +/- 0.44, N = 3SE +/- 11.56, N = 15SE +/- 0.57, N = 3143.9968.3165.88202.60
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UGen9 - i7-8565U4080120160200Min: 143.46 / Avg: 143.99 / Max: 144.61Min: 67.43 / Avg: 68.31 / Max: 68.76Min: 29.56 / Avg: 65.87 / Max: 204.15Min: 201.45 / Avg: 202.6 / Max: 203.24

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus, Fewer Is BetteroneAPI Level Zero TestsTest: Peak Kernel Launch LatencyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U714212835SE +/- 0.83, N = 15SE +/- 0.55, N = 15SE +/- 0.15, N = 1228.9622.3131.421. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgus, Fewer Is BetteroneAPI Level Zero TestsTest: Peak Kernel Launch LatencyGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen9 - i7-8565U714212835Min: 26.85 / Avg: 28.96 / Max: 35.28Min: 21.16 / Avg: 22.31 / Max: 30Min: 30.93 / Avg: 31.42 / Max: 32.781. (CXX) g++ options: -ldl -pthread

87 Results Shown

FinanceBench
NCNN
PlaidML:
  No - Inference - VGG19 - OpenCL
  No - Inference - DenseNet 201 - OpenCL
  No - Inference - VGG16 - OpenCL
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Max SP Flops
  OpenCL - MD5 Hash
GpuTest:
  Pixmark Piano - 1920 x 1200 - Fullscreen
  Pixmark Volplosion - 1920 x 1200 - Fullscreen
MandelGPU
PlaidML
SHOC Scalable HeterOgeneous Computing
LeelaChessZero
clpeak
Waifu2x-NCNN Vulkan
NCNN
PlaidML
GpuTest
oneAPI Level Zero Tests
Unigine Heaven
NCNN:
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
Unigine Valley
PlaidML
oneAPI Level Zero Tests
ViennaCL
NCNN
Unigine Superposition
NCNN
Unigine Superposition
JuliaGPU
SHOC Scalable HeterOgeneous Computing
NCNN
oneAPI Level Zero Tests
Waifu2x-NCNN Vulkan
Tesseract
clpeak
oneAPI Level Zero Tests
PlaidML
NCNN
Xonotic
GpuTest
NCNN
Xonotic
cl-mem
GpuTest
Xonotic
NCNN
oneAPI Level Zero Tests
cl-mem
NCNN
Xonotic
PlaidML
cl-mem
oneAPI Level Zero Tests:
  Device-To-Host Bandwidth:
    usec
    GB/s
  Host-To-Device Bandwidth:
    usec
    GB/s
NCNN
oneAPI Level Zero Tests
clpeak
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  Renderer2 - 1920 x 1200
  CPU Power Consumption Monitor
  Transfer Bandwidth enqueueWriteBuffer
  CPU Power Consumption Monitor
  OpenCL - Bus Speed Readback
  CPU Power Consumption Monitor
  OpenCL - Bus Speed Download
  CPU Power Consumption Monitor
  OpenCL - Triad
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
ET: Legacy
clpeak
NCNN:
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Bus Speed Readback
  OpenCL - Bus Speed Download
  OpenCL - Triad
FinanceBench
RealSR-NCNN:
  4x - Yes
  4x - No
oneAPI Level Zero Tests