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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Gen9 - i7-8565U

Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac

OS: Ubuntu 20.10, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.3.0-devel (git-fdbc45d 2020-10-21 groovy-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
Python Notes: Python 3.8.6
Security Notes: 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

Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz

OS: Ubuntu 20.10, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.3.0-devel (git-4408131 2020-10-20 groovy-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3
Python Notes: Python 3.8.6
Security Notes: 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

Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: KIOXIA KBG40ZNS256G NVMe 256GB, Graphics: Intel UHD 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

OS: Ubuntu 20.10, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.3.0-devel (git-fdbc45d 2020-10-21 groovy-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Gen8 - i7-5600U

Processor: Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads), Motherboard: LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS), Chipset: Intel Broadwell-U-OPI, Memory: 8GB, Disk: 128GB SAMSUNG MZNTE128, Graphics: Intel HD 5500 3GB (950MHz), Audio: Intel Broadwell-U Audio, Network: Intel I218-LM + Intel 7265

OS: Ubuntu 20.10, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.3.0-devel (git-81797fc 2020-10-22 groovy-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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 Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x2f - Thermald 2.3
Python Notes: Python 3.8.6
Security Notes: 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

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 Suite 10.2.2RealSR-NCNNFinanceBenchPlaidMLMandelGPULeelaChessZeroUnigine HeavenSHOC Scalable HeterOgeneous ComputingUnigine ValleyViennaCLGpuTestUnigine SuperpositionJuliaGPUNCNNTesseractWaifu2x-NCNN VulkanclpeakXonoticET: Legacy

Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600UPer Watt Result OverviewPhoronix Test Suite 10.2.2100%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 Latencyclpeak: Transfer Bandwidth enqueueWriteBufferrealsr-ncnn: 4x - Yesetlegacy: Renderer2 - 1920 x 1200financebench: Monte-Carlo OpenCLncnn: Vulkan GPU - mnasnetoneapi-level-zero: Peak Kernel Launch Latencyncnn: Vulkan GPU - shufflenet-v2realsr-ncnn: 4x - Noshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Triadshoc: OpenCL - Bus Speed DownloadGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U25.826923152.796.425.818.181681.190.369114939010702352.515.9038.9719389438.0675.25262.8134.526724.8377910.370151.4623.8911.4067116.08751.62324.674625.745.825.7712.247930812.654.262528.27138.51610.28865.2225126.73418.8621.8423.7271.606780428401.8193.209480022.71314111.67532188.2724.527621.69.19183.62112297.8424.019941.1913.46218319750.4713.59211916.5210.788334.1231.641614.84372.12584.7104498.3631.42246.75202.60123.931910.923623.30486.34396.3216.0311.3019.935322.990.677828876123689428.634.82140.1625791038.5453.10338.9575.57106210.573616.136335.9117.1217.7436242.831352.0948.911722.369.016.6317.085184313.2174.16224.65153.1477.062109.466945.94920.2073.3118.6299.236508936021.81123.238392941.31724144.12078327.5334.752235.98.65209.160996020.1034.412232.8021.94393912241.3721.92861216.7213.808536.8939.481120.00186.4579.5237337.6528.95685.71143.98841.740614.021040.16404.17938.4417.4922.4422.187820.561.6775584159544609194.646.37156.16215351774.8127.21615.2687.29178221.634528.645315.497.1830.6054299.603036.6873.81629.7416.49.4729.6132508055.1189.75711.51439.0024.095140.348657.021219.525.1410.51121.904137750800.98155.370884057.12017183.80281384.6256.939148.05.47307.634550130.5247.910057.4826.69018710048.5026.71416211.0515.085929.5352.15538.065122.3433.3708585.1422.31303.0568.31160.404821.304058.414329.835615237.213.033.903.861406.380.30961093038624284.09.0431.4218309362.1515.83272.2818.653956.4501268.1731.417.0912169.8918.489738.644.235.728.037370860.278.776140.2112.87145.2126518.5929.2246.392513719652.5361.675614180475.151832110.7311.15153.65760922.8420.6732.8218.2855.15060.71031.74660610.598.4565.87512.12706.125312.1540OpenBenchmarking.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 OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835SE +/- 0.046004, N = 13SE +/- 0.051661, N = 15SE +/- 0.005073, N = 14SE +/- 0.010561, N = 1325.8269236.3430004.17900029.8356151. (CXX) g++ options: -O3 -lOpenCL
MinAvgMaxGen9 - i7-8565U0.675.020.74Gen11 - i7-1065G71.073.813.87Gen12 Xe - i7-1165G71.045.116.94Gen8 - i7-5600U0.132.511.07OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-06-06CPU Power Consumption Monitor612182430
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835Min: 25.53 / Avg: 25.83 / Max: 26.01Min: 6.07 / Avg: 6.34 / Max: 6.72Min: 4.15 / Avg: 4.18 / Max: 4.21Min: 29.8 / Avg: 29.84 / Max: 29.931. (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: vgg16Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3152.7996.3238.44237.21MIN: 151.88 / MAX: 153.67MIN: 92.64 / MAX: 97.57MIN: 38.09 / MAX: 38.78MIN: 235.78 / MAX: 239.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U130260390520650611.16385.28153.76474.421. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U300600900120015001222.32770.56307.52948.841. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U160320480640800702.83375.65180.67759.071. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U4080120160200Min: 152.69 / Avg: 152.79 / Max: 152.86Min: 96.27 / Avg: 96.32 / Max: 96.41Min: 38.42 / Avg: 38.44 / Max: 38.46Min: 236.75 / Avg: 237.21 / Max: 237.681. (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: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U48121620SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 36.4216.0317.493.03
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.22050.4410.66150.8821.10250.210.980.860.22
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1020304050Min: 0.71 / Avg: 31.16 / Max: 49.62Min: 0.91 / Avg: 16.44 / Max: 45.28Min: 1.81 / Avg: 20.41 / Max: 44.56Min: 0.13 / Avg: 14.04 / Max: 24.85
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.98331.96662.94993.93324.91651.614.014.371.521. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.49280.98561.47841.97122.4640.80252.00002.19000.75751. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.92481.84962.77443.69924.6241.40004.11003.72000.94691. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U48121620Min: 6.41 / Avg: 6.42 / Max: 6.43Min: 15.79 / Avg: 16.03 / Max: 16.43Min: 17.46 / Avg: 17.49 / Max: 17.54Min: 3.03 / Avg: 3.03 / Max: 3.04

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U510152025SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 35.8111.3022.443.90
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.22950.4590.68850.9181.14750.220.751.020.27
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U918273645Min: 0.7 / Avg: 26.32 / Max: 42.97Min: 0.97 / Avg: 15.07 / Max: 24.04Min: 1.46 / Avg: 21.9 / Max: 33.76Min: 0.13 / Avg: 14.43 / Max: 17.2
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.26232.52463.78695.04926.31151.452.835.611.951. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.63231.26461.89692.52923.16150.72631.41002.81000.97501. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.07332.14663.21994.29325.36651.262.904.771.221. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U510152025Min: 5.79 / Avg: 5.81 / Max: 5.83Min: 11.15 / Avg: 11.3 / Max: 11.41Min: 22.33 / Avg: 22.44 / Max: 22.63Min: 3.88 / Avg: 3.9 / Max: 3.91

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U510152025SE +/- 0.08, N = 3SE +/- 0.34, N = 12SE +/- 0.03, N = 3SE +/- 0.01, N = 38.1819.9322.183.86
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.27230.54460.81691.08921.36150.261.211.070.27
MinAvgMaxGen9 - i7-8565U0.7931.949.75Gen11 - i7-1065G70.8816.545.35Gen12 Xe - i7-1165G71.5220.853.25Gen8 - i7-5600U0.1314.224.85OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1530456075
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.24882.49763.74644.99526.2442.054.985.551.931. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.62331.24661.86992.49323.11651.0202.4902.7700.9651. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.14982.29963.44944.59925.7491.785.114.721.211. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U510152025Min: 8.06 / Avg: 8.18 / Max: 8.32Min: 19.26 / Avg: 19.93 / Max: 23.6Min: 22.14 / Avg: 22.18 / Max: 22.25Min: 3.85 / Avg: 3.86 / Max: 3.88

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 FlopsGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2K4K6K8K10KSE +/- 0.77, N = 3SE +/- 4.39, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 31681.195322.997820.561406.381. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U7014021028035072.86265.36343.7497.11
MinAvgMaxGen9 - i7-8565U0.4223.133.47Gen11 - i7-1065G71.0520.132.29Gen12 Xe - i7-1165G71.6722.837.31Gen8 - i7-5600U0.1314.521.11OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U14002800420056007000Min: 1680.06 / Avg: 1681.19 / Max: 1682.67Min: 5315.45 / Avg: 5322.99 / Max: 5330.67Min: 7820.45 / Avg: 7820.56 / Max: 7820.77Min: 1406.2 / Avg: 1406.38 / Max: 1406.581. (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 HashGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.37740.75481.13221.50961.887SE +/- 0.0000, N = 3SE +/- 0.0004, N = 3SE +/- 0.0003, N = 5SE +/- 0.0000, N = 30.36910.67781.67750.30961. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.01580.03160.04740.06320.0790.020.030.070.02
MinAvgMaxGen9 - i7-8565U0.8921.924.74Gen11 - i7-1065G7125.128.4Gen12 Xe - i7-1165G70.9523.842.26Gen8 - i7-5600U0.1314.716.85OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1224364860
OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U246810Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 0.31 / Avg: 0.31 / Max: 0.311. (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: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U130260390520650SE +/- 1.67, N = 3SE +/- 6.51, N = 3SE +/- 0.88, N = 3149288584109
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Pixmark Piano - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G76121824306.0117.1327.39
MinAvgMaxGen9 - i7-8565U0.924.858.65Gen11 - i7-1065G73.7816.841.22Gen12 Xe - i7-1165G71.3321.349.3OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Piano - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U100200300400500Min: 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: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500SE +/- 5.03, N = 3SE +/- 14.67, N = 3SE +/- 2.00, N = 33907611595303
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G72040608010016.0645.2475.39
MinAvgMaxGen9 - i7-8565U0.9124.358.86Gen11 - i7-1065G73.8216.840.85Gen12 Xe - i7-1165G71.2421.247.82OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500Min: 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: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U10M20M30M40M50MSE +/- 1337.29, N = 3SE +/- 231636.76, N = 3SE +/- 304086.94, N = 3SE +/- 4696.91, N = 310702352.523689428.644609194.68624284.01. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7400K800K1200K1600K2000K468417.211544709.171974932.07
MinAvgMaxGen9 - i7-8565U1.0222.825.12Gen11 - i7-1065G71.7415.329.59Gen12 Xe - i7-1165G71.5722.634.27OpenBenchmarking.orgWatts, Fewer Is BetterMandelGPU 1.3pts1CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgSamples/sec Per Core, More Is BetterMandelGPU 1.3pts1Performance Per Core - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2M4M6M8M10M2675588.135922357.1511152298.654312142.001. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgSamples/sec Per Thread, More Is BetterMandelGPU 1.3pts1Performance Per Thread - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.2M2.4M3.6M4.8M6M1337794.062961178.585576149.332156071.001. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgSamples/sec Per GHz, More Is BetterMandelGPU 1.3pts1Performance Per Clock - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2M4M6M8M10M2326598.376074212.469491318.002695088.751. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U8M16M24M32M40MMin: 10699691.6 / Avg: 10702352.5 / Max: 10703916.9Min: 23415405.6 / Avg: 23689428.6 / Max: 24149937.1Min: 44245993.8 / Avg: 44609194.63 / Max: 45213252.7Min: 8617865.2 / Avg: 8624284.03 / Max: 8633433.31. (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: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1122334455SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 315.9034.8246.379.04
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U0.51981.03961.55942.07922.5990.542.312.140.64
MinAvgMaxGen9 - i7-8565U0.729.646.58Gen11 - i7-1065G70.9515.125.66Gen12 Xe - i7-1165G71.8921.733.41Gen8 - i7-5600U0.1314.224.36OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U36912153.988.7111.594.521. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.3052.613.9155.226.5251.994.355.802.261. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U36912153.468.939.872.831. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U918273645Min: 15.72 / Avg: 15.9 / Max: 16.22Min: 34.68 / Avg: 34.82 / Max: 34.9Min: 46.33 / Avg: 46.37 / Max: 46.45Min: 9 / Avg: 9.04 / Max: 9.07

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 SPGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U306090120150SE +/- 0.05, N = 7SE +/- 0.23, N = 11SE +/- 0.34, N = 12SE +/- 0.04, N = 538.97140.16156.1631.421. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U481216202.2117.7717.812.94
MinAvgMaxGen9 - i7-8565U0.7217.639.59Gen11 - i7-1065G71.087.929.62Gen12 Xe - i7-1165G71.348.828.75Gen8 - i7-5600U0.1310.722.83OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U306090120150Min: 38.84 / Avg: 38.97 / Max: 39.13Min: 138.96 / Avg: 140.16 / Max: 141.42Min: 154.26 / Avg: 156.16 / Max: 157.89Min: 31.35 / Avg: 31.42 / Max: 31.551. (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: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500SE +/- 5.24, N = 3SE +/- 8.08, N = 3SE +/- 7.84, N = 3SE +/- 1.15, N = 338957915353091. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U163248648014.0537.8170.0521.58
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U816243240Min: 0.72 / Avg: 27.68 / Max: 38.66Min: 0.88 / Avg: 15.31 / Max: 27.33Min: 1.83 / Avg: 21.91 / Max: 35.23Min: 0.13 / Avg: 14.32 / Max: 22.46
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.26Performance Per Core - Backend: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U8016024032040097.25144.75383.75154.501. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.26Performance Per Thread - Backend: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U408012016020048.6372.38191.8877.251. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U7014021028035084.57148.46326.6096.561. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500Min: 379 / Avg: 389.33 / Max: 396Min: 565 / Avg: 579 / Max: 593Min: 1527 / Avg: 1535.33 / Max: 1551Min: 307 / Avg: 309 / Max: 3111. (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 FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U400800120016002000SE +/- 0.06, N = 4SE +/- 0.62, N = 3SE +/- 0.10, N = 4SE +/- 0.10, N = 3438.061038.541774.81362.151. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G72040608010020.3158.9380.98
MinAvgMaxGen9 - i7-8565U0.5921.635.47Gen11 - i7-1065G71.4217.628.33Gen12 Xe - i7-1165G71.5421.931.17OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS Per Core, More Is BetterclpeakPerformance Per Core - OpenCL Test: Single-Precision FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U100200300400500109.52259.64443.70181.081. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgGFLOPS Per Thread, More Is BetterclpeakPerformance Per Thread - OpenCL Test: Single-Precision FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U5010015020025054.76129.82221.8590.541. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgGFLOPS Per GHz, More Is BetterclpeakPerformance Per Clock - OpenCL Test: Single-Precision FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U8016024032040095.23266.29377.62113.171. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500Min: 437.94 / Avg: 438.06 / Max: 438.2Min: 1037.44 / Avg: 1038.54 / Max: 1039.6Min: 1774.53 / Avg: 1774.81 / Max: 1774.97Min: 362.03 / Avg: 362.15 / Max: 362.351. (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: YesGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100SE +/- 0.03, N = 3SE +/- 0.64, N = 6SE +/- 0.03, N = 3SE +/- 0.12, N = 375.2553.1027.2215.83
MinAvgMaxGen9 - i7-8565U124.826.97Gen11 - i7-1065G73.7517.322.57Gen12 Xe - i7-1165G71.6319.823.33OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Power Consumption Monitor816243240
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1428425670Min: 75.2 / Avg: 75.25 / Max: 75.29Min: 49.89 / Avg: 53.1 / Max: 53.87Min: 27.17 / Avg: 27.22 / Max: 27.25Min: 15.59 / Avg: 15.83 / Max: 15.96

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-tinyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1632486480SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 362.8138.9515.2672.28MIN: 48.56 / MAX: 92.55MIN: 32.02 / MAX: 43.37MIN: 14.84 / MAX: 15.7MIN: 65 / MAX: 781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGen9 - i7-8565U0.7620.435.27Gen11 - i7-1065G70.9415.523.99Gen12 Xe - i7-1165G71.0717.726.18Gen8 - i7-5600U0.1312.120.22OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250251.24155.8061.04144.561. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U110220330440550502.48311.60122.08289.121. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U60120180240300288.93151.9171.72231.301. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1428425670Min: 62.32 / Avg: 62.81 / Max: 63.26Min: 38.76 / Avg: 38.95 / Max: 39.28Min: 15.23 / Avg: 15.26 / Max: 15.3Min: 72.2 / Avg: 72.28 / Max: 72.341. (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: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100SE +/- 0.36, N = 3SE +/- 1.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 334.5275.5787.2918.65
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1.07782.15563.23344.31125.3891.104.794.041.34
MinAvgMaxGen9 - i7-8565U0.5731.550.13Gen11 - i7-1065G70.9715.828.29Gen12 Xe - i7-1165G71.5221.644.63Gen8 - i7-5600U0.1313.924.71OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U5101520258.6318.8921.829.331. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U36912154.329.4510.914.661. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U5101520257.5019.3818.575.831. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100Min: 33.98 / Avg: 34.52 / Max: 35.2Min: 74.16 / Avg: 75.57 / Max: 77.66Min: 87.22 / Avg: 87.29 / Max: 87.35Min: 18.63 / Avg: 18.65 / Max: 18.66

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: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U400800120016002000SE +/- 8.41, N = 3SE +/- 15.32, N = 3SE +/- 23.44, N = 4SE +/- 3.18, N = 367210621782395
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G72040608010025.2663.1981.15
MinAvgMaxGen9 - i7-8565U0.9526.640.32Gen11 - i7-1065G73.8216.846.54Gen12 Xe - i7-1165G71.5922.063.06OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30060090012001500Min: 658 / Avg: 671.67 / Max: 687Min: 1036 / Avg: 1061.67 / Max: 1089Min: 1753 / Avg: 1782 / Max: 1852Min: 389 / Avg: 395.33 / Max: 399

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 CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7510152025SE +/- 0.01750, N = 3SE +/- 0.13517, N = 5SE +/- 0.08874, N = 54.8377910.5736021.634501. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.21150.4230.63450.8461.05750.140.680.94
MinAvgMaxGen9 - i7-8565U0.7333.644.28Gen11 - i7-1065G70.9615.539.55Gen12 Xe - i7-1165G71.6323.146.02OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1224364860
OpenBenchmarking.orgGB/s Per Core, More Is BetteroneAPI Level Zero TestsPerformance Per Core - Test: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G71.21732.43463.65194.86926.08651.212.645.411. Detected core count of 4
OpenBenchmarking.orgGB/s Per Thread, More Is BetteroneAPI Level Zero TestsPerformance Per Thread - Test: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.60751.2151.82252.433.03750.60471.32002.70001. Detected thread count of 8
OpenBenchmarking.orgGB/s Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G71.0352.073.1054.145.1751.052.714.601. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7510152025Min: 4.8 / Avg: 4.84 / Max: 4.86Min: 10.32 / Avg: 10.57 / Max: 11.08Min: 21.44 / Avg: 21.63 / Max: 21.861. (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: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835SE +/- 0.01623, N = 3SE +/- 0.24103, N = 9SE +/- 0.06619, N = 3SE +/- 0.00535, N = 310.3701016.1363028.645306.45012
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.29480.58960.88441.17921.4740.380.811.31
MinAvgMaxGen9 - i7-8565U0.8327.130.66Gen11 - i7-1065G71.5220.035.87Gen12 Xe - i7-1165G71.4821.933.86OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Heaven 4.0CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U612182430Min: 10.34 / Avg: 10.37 / Max: 10.39Min: 15.53 / Avg: 16.14 / Max: 17.82Min: 28.56 / Avg: 28.65 / Max: 28.78Min: 6.44 / Avg: 6.45 / Max: 6.46

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: resnet50Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1530456075SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 351.4635.9115.4968.17MIN: 50.23 / MAX: 52.98MIN: 35.46 / MAX: 36.57MIN: 15.23 / MAX: 15.68MIN: 67.25 / MAX: 68.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250205.84143.6461.96136.341. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U90180270360450411.68287.28123.92272.681. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250236.72140.0572.80218.141. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1326395265Min: 51.42 / Avg: 51.46 / Max: 51.51Min: 35.87 / Avg: 35.91 / Max: 36Min: 15.46 / Avg: 15.49 / Max: 15.51Min: 68.14 / Avg: 68.17 / Max: 68.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 323.8917.127.1831.41MIN: 23.4 / MAX: 24.3MIN: 16.86 / MAX: 17.76MIN: 6.79 / MAX: 7.65MIN: 30.83 / MAX: 31.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2040608010095.5668.4828.7262.821. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U4080120160200191.12136.9657.44125.641. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100109.8966.7733.75100.511. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835Min: 23.89 / Avg: 23.89 / Max: 23.9Min: 17.09 / Avg: 17.12 / Max: 17.15Min: 7.14 / Avg: 7.18 / Max: 7.22Min: 31.39 / Avg: 31.41 / Max: 31.451. (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: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835SE +/- 0.06495, N = 3SE +/- 0.11403, N = 3SE +/- 0.08313, N = 3SE +/- 0.00606, N = 311.4067017.7436030.605407.09121
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.3150.630.9451.261.5750.431.131.40
MinAvgMaxGen9 - i7-8565U1.0226.736.62Gen11 - i7-1065G71.9115.729.91Gen12 Xe - i7-1165G71.7521.936.24OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Valley 1.0CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835Min: 11.33 / Avg: 11.41 / Max: 11.54Min: 17.6 / Avg: 17.74 / Max: 17.97Min: 30.51 / Avg: 30.61 / Max: 30.77Min: 7.08 / Avg: 7.09 / Max: 7.1

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: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U70140210280350SE +/- 0.03, N = 3SE +/- 3.34, N = 3SE +/- 0.92, N = 3SE +/- 0.44, N = 3116.08242.83299.6069.89
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U481216203.6315.0413.595.09
MinAvgMaxGen9 - i7-8565U0.7132.047.45Gen11 - i7-1065G71.1316.126.96Gen12 Xe - i7-1165G71.6622.042.86Gen8 - i7-5600U0.1313.723.76OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2040608010029.0260.7174.9034.951. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U91827364514.5130.3537.4517.471. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U142842567025.2362.2663.7421.841. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250Min: 116.03 / Avg: 116.08 / Max: 116.14Min: 236.36 / Avg: 242.83 / Max: 247.48Min: 298.38 / Avg: 299.6 / Max: 301.41Min: 69.44 / Avg: 69.89 / Max: 70.76

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 ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G77001400210028003500SE +/- 0.53, N = 3SE +/- 19.85, N = 3SE +/- 1.09, N = 3751.621352.093036.681. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G730609012015024.1773.98135.36
MinAvgMaxGen9 - i7-8565U0.8431.135.68Gen11 - i7-1065G71.0418.327.49Gen12 Xe - i7-1165G72.0222.430.36OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS Per Core, More Is BetteroneAPI Level Zero TestsPerformance Per Core - Test: Peak Half-Precision ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7160320480640800187.91338.02759.171. Detected core count of 4
OpenBenchmarking.orgGFLOPS Per Thread, More Is BetteroneAPI Level Zero TestsPerformance Per Thread - Test: Peak Half-Precision ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G78016024032040093.95169.01379.591. Detected thread count of 8
OpenBenchmarking.orgGFLOPS Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Peak Half-Precision ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7140280420560700163.40346.69646.101. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70
OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G75001000150020002500Min: 750.58 / Avg: 751.62 / Max: 752.35Min: 1319.49 / Avg: 1352.09 / Max: 1388.02Min: 3034.49 / Avg: 3036.68 / Max: 3037.781. (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 FactorizationGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1632486480SE +/- 0.03, N = 9SE +/- 0.20, N = 10SE +/- 0.09, N = 11SE +/- 0.02, N = 824.6748.9173.8218.491. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U2468101.865.866.642.34
MinAvgMaxGen9 - i7-8565U0.6513.333.59Gen11 - i7-1065G70.928.321.95Gen12 Xe - i7-1165G71.311.131.68Gen8 - i7-5600U0.137.917.63OpenBenchmarking.orgWatts, Fewer Is BetterViennaCL 1.4.2CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U1428425670Min: 24.54 / Avg: 24.67 / Max: 24.77Min: 48.12 / Avg: 48.91 / Max: 49.85Min: 73.34 / Avg: 73.82 / Max: 74.41Min: 18.4 / Avg: 18.49 / Max: 18.531. (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: mobilenetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U918273645SE +/- 0.39, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 325.7422.369.7438.64MIN: 24.44 / MAX: 35.25MIN: 19.29 / MAX: 35.76MIN: 9.4 / MAX: 29.44MIN: 33.79 / MAX: 43.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100102.9689.4438.9677.281. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250205.92178.8877.92154.561. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U306090120150118.4087.2045.78123.651. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U816243240Min: 24.97 / Avg: 25.74 / Max: 26.24Min: 21.97 / Avg: 22.36 / Max: 22.65Min: 9.64 / Avg: 9.74 / Max: 9.87Min: 38.6 / Avg: 38.64 / Max: 38.71. (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: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 35.89.016.44.2MAX: 7.5MAX: 10.8MAX: 21.3MAX: 5.1
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.16650.3330.49950.6660.83250.230.500.74
MinAvgMaxGen9 - i7-8565U1.1225.734.69Gen11 - i7-1065G72.9218.035.3Gen12 Xe - i7-1165G72.3822.040.39OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U48121620Min: 5.8 / Avg: 5.83 / Max: 5.9Min: 9 / Avg: 9.03 / Max: 9.1Min: 16.4 / Avg: 16.4 / Max: 16.4Min: 4.1 / Avg: 4.17 / Max: 4.2

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: alexnetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 325.7716.639.4735.72MIN: 25.1 / MAX: 26.35MIN: 15.99 / MAX: 17.2MIN: 8.7 / MAX: 9.75MIN: 35.3 / MAX: 37.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20200916Performance Per Core - Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20406080100103.0866.5237.8871.441. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgms x Thread, Fewer Is BetterNCNN 20200916Performance Per Thread - Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U50100150200250206.16133.0475.76142.881. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U306090120150118.5464.8644.51114.301. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U816243240Min: 25.75 / Avg: 25.77 / Max: 25.79Min: 16.57 / Avg: 16.63 / Max: 16.68Min: 9.46 / Avg: 9.47 / Max: 9.48Min: 35.67 / Avg: 35.72 / Max: 35.81. (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: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 312.217.029.68.0MAX: 15.2MAX: 23.3MAX: 40.6MAX: 10.3
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G70.30150.6030.90451.2061.50750.480.891.34
MinAvgMaxGen9 - i7-8565U1.0825.631.34Gen11 - i7-1065G72.319.034.82Gen12 Xe - i7-1165G71.6822.138.82OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U714212835Min: 12.1 / Avg: 12.17 / Max: 12.2Min: 16.9 / Avg: 17.03 / Max: 17.2Min: 29.5 / Avg: 29.63 / Max: 29.9Min: 7.9 / Avg: 7.97 / Max: 8

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: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U30M60M90M120M150MSE +/- 3375.98, N = 3SE +/- 1031557.09, N = 6SE +/- 1753385.91, N = 4SE +/- 320871.56, N = 1247930812.685184313.2132508055.137370860.21. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm
OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G71.3M2.6M3.9M5.2M6.5M1343812.705650341.305935645.80
MinAvgMaxGen9 - i7-8565U0.9635.741.41Gen11 - i7-1065G71.1415.130.03Gen12 Xe - i7-1165G71.4522.334.65OpenBenchmarking.orgWatts, Fewer Is BetterJuliaGPU 1.2pts1CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgSamples/sec Per Core, More Is BetterJuliaGPU 1.2pts1Performance Per Core - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U7M14M21M28M35M11982703.1521296078.3033127013.7818685430.101. Gen9 - i7-8565U: Detected core count of 42. Gen11 - i7-1065G7: Detected core count of 43. Gen12 Xe - i7-1165G7: Detected core count of 44. Gen8 - i7-5600U: Detected core count of 2
OpenBenchmarking.orgSamples/sec Per Thread, More Is BetterJuliaGPU 1.2pts1Performance Per Thread - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U4M8M12M16M20M5991351.5810648039.1516563506.899342715.051. Gen9 - i7-8565U: Detected thread count of 82. Gen11 - i7-1065G7: Detected thread count of 83. Gen12 Xe - i7-1165G7: Detected thread count of 84. Gen8 - i7-5600U: Detected thread count of 4
OpenBenchmarking.orgSamples/sec Per GHz, More Is BetterJuliaGPU 1.2pts1Performance Per Clock - OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U6M12M18M24M30M10419741.8721842131.5928193203.2111678393.811. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90 3. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 4. Gen8 - i7-5600U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.20
OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U20M40M60M80M100MMin: 47925190.5 / Avg: 47930812.6 / Max: 47936861.8Min: 83742969.3 / Avg: 85184313.18 / Max: 90315528Min: 129483633.2 / Avg: 132508055.1 / Max: 137491728.3Min: 36752652.4 / Avg: 37370860.15 / Max: 40136555.61. (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 BandwidthGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Gen8 - i7-5600U4080120160200SE +/- 0.01, N = 3SE +/- 1.66, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 354.26174.16189.7678.781. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi