Tigerlake Xe Gen12 to Gen9

Tests for a future article

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010223-FI-GEN48446330
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
Desktop Graphics 4 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 4 Tests
NVIDIA GPU Compute 11 Tests
OpenCL 5 Tests
OpenGL Demos Test Suite 3 Tests
Unigine Test Suite 3 Tests
Vulkan Compute 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Triggered
  Test
  Duration
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
Invert Hiding All Results Option
  8 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):


Tigerlake Xe Gen12 to Gen9ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Intel 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)OpenBenchmarking.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 2.3Python 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

Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Logarithmic Result OverviewPhoronix Test Suite 10.4.0m1FinanceBenchMandelGPULeelaChessZeroSHOC Scalable HeterOgeneous ComputingViennaCLRealSR-NCNNPlaidMLJuliaGPUUnigine HeavenUnigine ValleyWaifu2x-NCNN VulkanUnigine SuperpositionGpuTestNCNNoneAPI Level Zero Testscl-memTesseractclpeakET: LegacyXonotic

Gen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G7Per Watt Result OverviewPhoronix Test Suite 10.4.0m1100%200%299%399%499%LeelaChessZeroJuliaGPUPlaidMLMandelGPUoneAPI Level Zero TestsViennaCLSHOC Scalable HeterOgeneous ComputingUnigine HeavenGpuTestUnigine ValleyUnigine SuperpositionclpeakTesseractcl-memXonoticET: LegacyP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Tigerlake Xe Gen12 to Gen9financebench: Black-Scholes OpenCLshoc: OpenCL - Max SP Flopsshoc: OpenCL - MD5 Hashoneapi-level-zero: Host-To-Device-To-Host Image Copymandelgpu: GPUncnn: Vulkan GPU - yolov4-tinygputest: Pixmark Volplosion - 1920 x 1200 - Fullscreenclpeak: Single-Precision Floatoneapi-level-zero: Peak Half-Precision Computeshoc: OpenCL - FFT SPncnn: Vulkan GPU - vgg16lczero: OpenCLgputest: Pixmark Piano - 1920 x 1200 - Fullscreenplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLshoc: OpenCL - Texture Read Bandwidthncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - resnet50oneapi-level-zero: Peak Integer Computerealsr-ncnn: 4x - Yesviennacl: OpenCL LU Factorizationrealsr-ncnn: 4x - Noplaidml: No - Inference - Inception V3 - OpenCLoneapi-level-zero: Peak Single-Precision Computeunigine-super: 1920 x 1200 - Fullscreen - Medium - OpenGLplaidml: No - Inference - NASNer Large - OpenCLwaifu2x-ncnn: 2x - 3 - Yesjuliagpu: GPUunigine-heaven: 1920 x 1200 - Fullscreen - OpenGLplaidml: No - Inference - VGG19 - OpenCLncnn: Vulkan GPU - alexnetplaidml: No - Inference - VGG16 - OpenCLunigine-valley: 1920 x 1200 - Fullscreen - OpenGLgputest: Furmark - 1920 x 1200 - Fullscreenncnn: Vulkan GPU - mobilenetplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLcl-mem: Readwaifu2x-ncnn: 2x - 3 - Noncnn: Vulkan GPU - squeezenetunigine-super: 1920 x 1200 - Fullscreen - Low - OpenGLoneapi-level-zero: Peak Float16 Global Memory Bandwidthncnn: Vulkan GPU - googlenetcl-mem: Copyncnn: Vulkan GPU - shufflenet-v2tesseract: 1920 x 1200clpeak: Global Memory Bandwidthcl-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 - blazefacencnn: Vulkan GPU-v2-v2 - mobilenet-v2gputest: TessMark - 1920 x 1200 - Fullscreenxonotic: 1920 x 1200 - Ultimatencnn: Vulkan GPU-v3-v3 - mobilenet-v3xonotic: 1920 x 1200 - Lowxonotic: 1920 x 1200 - Ultraxonotic: 1920 x 1200 - Highgputest: GiMark - 1920 x 1200 - Fullscreenncnn: Vulkan GPU - efficientnet-b0oneapi-level-zero: Peak System Memory Copy to Shared Memoryclpeak: Kernel Latencyncnn: Vulkan GPU - mnasnetshoc: OpenCL - Triadoneapi-level-zero: Peak Kernel Launch Latencyshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadfinancebench: Monte-Carlo OpenCLetlegacy: Renderer2 - 1920 x 1200clpeak: Transfer Bandwidth enqueueWriteBufferGen9 - i7-8565UGen11 - i7-1065G7Gen12 Xe - i7-1165G725.8269231681.190.36914.8377910702352.562.81390438.06751.62338.9719152.793891497.845.8154.262523.8951.46138.5161614.84324.6746202.60115.90418.8625.81.8475.25247930812.610.37016.4225.778.1811.406767225.74116.0834.5222.710.28828.2712.224.527623.7221.66.7565.2225126.7324.019941.1913.46218319750.4713.5921191.818.27284071.60678049.19183.621122993.2094800111.6753218131416.5210.788334.128.3610.923631.422423.931923.30482584.71044972.131.646.3435322.990.677810.573623689428.638.957611038.541352.09140.16296.3257928820.1011.30174.16217.1235.91153.1471120.00148.9117143.98834.82920.2079.03.3153.10385184313.216.136316.0316.6319.9317.7436106222.36242.8375.5741.37.06224.6517.034.752218.6235.95.71109.466945.9434.412232.8021.94393912241.3721.9286121.817.53360299.23650898.65209.1609960123.2383929144.1207832172416.7213.808536.897.6514.021028.956841.740640.1640579.52373386.439.484.1797820.561.677521.634544609194.615.2615951774.813036.68156.16238.44153558430.5222.44189.7577.1815.49439.002538.06573.816268.31146.371219.5216.45.1427.216132508055.128.645317.499.4722.1830.605417829.74299.6087.2957.14.09511.5129.656.939110.5148.03.05140.348657.0247.910057.4826.69018710048.5026.7141620.984.625080121.90413775.47307.6345501155.3708840183.8028138201711.0515.085929.535.1421.304022.313060.404858.4143433.370858122.352.15OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430SE +/- 0.046004, N = 13SE +/- 0.005073, N = 14SE +/- 0.051661, N = 1525.8269234.1790006.3430001. (CXX) g++ options: -O3 -lOpenCL
MinAvgMaxGen9 - i7-8565U0.675.020.74Gen12 Xe - i7-1165G71.045.116.94Gen11 - i7-1065G71.073.813.87OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-06-06CPU Power Consumption Monitor612182430
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 25.53 / Avg: 25.83 / Max: 26.01Min: 4.15 / Avg: 4.18 / Max: 4.21Min: 6.07 / Avg: 6.34 / Max: 6.721. (CXX) g++ options: -O3 -lOpenCL

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72K4K6K8K10KSE +/- 0.77, N = 3SE +/- 0.11, N = 3SE +/- 4.39, N = 31681.197820.565322.991. (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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G77014021028035072.86343.74265.36
MinAvgMaxGen9 - i7-8565U0.4223.133.47Gen12 Xe - i7-1165G71.6722.837.31Gen11 - i7-1065G71.0520.132.29OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G714002800420056007000Min: 1680.06 / Avg: 1681.19 / Max: 1682.67Min: 7820.45 / Avg: 7820.56 / Max: 7820.77Min: 5315.45 / Avg: 5322.99 / Max: 5330.671. (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 HashGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.37740.75481.13221.50961.887SE +/- 0.0000, N = 3SE +/- 0.0003, N = 5SE +/- 0.0004, N = 30.36911.67750.67781. (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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.01580.03160.04740.06320.0790.020.070.03
MinAvgMaxGen9 - i7-8565U0.8921.924.74Gen12 Xe - i7-1165G70.9523.842.26Gen11 - i7-1065G7125.128.4OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7246810Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 0.68 / Avg: 0.68 / Max: 0.681. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025SE +/- 0.01750, N = 3SE +/- 0.08874, N = 5SE +/- 0.13517, N = 54.8377921.6345010.573601. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.21150.4230.63450.8461.05750.140.940.68
MinAvgMaxGen9 - i7-8565U0.7333.644.28Gen12 Xe - i7-1165G71.6323.146.02Gen11 - i7-1065G70.9615.539.55OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1224364860
OpenBenchmarking.orgGB/s Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.0352.073.1054.145.1751.054.602.711. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device-To-Host Image CopyGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025Min: 4.8 / Avg: 4.84 / Max: 4.86Min: 21.44 / Avg: 21.63 / Max: 21.86Min: 10.32 / Avg: 10.57 / Max: 11.081. (CXX) g++ options: -ldl -pthread

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G710M20M30M40M50MSE +/- 1337.29, N = 3SE +/- 304086.94, N = 3SE +/- 231636.76, N = 310702352.544609194.623689428.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7400K800K1200K1600K2000K468417.211974932.071544709.17
MinAvgMaxGen9 - i7-8565U1.0222.825.12Gen12 Xe - i7-1165G71.5722.634.27Gen11 - i7-1065G71.7415.329.59OpenBenchmarking.orgWatts, Fewer Is BetterMandelGPU 1.3pts1CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgSamples/sec Per GHz, More Is BetterMandelGPU 1.3pts1Performance Per Clock - OpenCL Device: GPUGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72M4M6M8M10M2326598.379491318.006074212.461. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G78M16M24M32M40MMin: 10699691.6 / Avg: 10702352.5 / Max: 10703916.9Min: 44245993.8 / Avg: 44609194.63 / Max: 45213252.7Min: 23415405.6 / Avg: 23689428.6 / Max: 24149937.11. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71428425670SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 362.8115.2638.95MIN: 48.56 / MAX: 92.55MIN: 14.84 / MAX: 15.7MIN: 32.02 / MAX: 43.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGen9 - i7-8565U0.7620.435.27Gen12 Xe - i7-1165G71.0717.726.18Gen11 - i7-1065G70.9415.523.99OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G760120180240300288.9371.72151.911. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71224364860Min: 62.32 / Avg: 62.81 / Max: 63.26Min: 15.23 / Avg: 15.26 / Max: 15.3Min: 38.76 / Avg: 38.95 / Max: 39.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500SE +/- 14.67, N = 3SE +/- 5.03, N = 33901595761
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72040608010016.0675.3945.24
MinAvgMaxGen9 - i7-8565U0.9124.358.86Gen12 Xe - i7-1165G71.2421.247.82Gen11 - i7-1065G73.8216.840.85OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500Min: 1580 / Avg: 1594.67 / Max: 1624Min: 755 / Avg: 761 / Max: 771

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7400800120016002000SE +/- 0.06, N = 4SE +/- 0.10, N = 4SE +/- 0.62, N = 3438.061774.811038.541. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72040608010020.3180.9858.93
MinAvgMaxGen9 - i7-8565U0.5921.635.47Gen12 Xe - i7-1165G71.5421.931.17Gen11 - i7-1065G71.4217.628.33OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS Per GHz, More Is BetterclpeakPerformance Per Clock - OpenCL Test: Single-Precision FloatGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G78016024032040095.23377.62266.291. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500Min: 437.94 / Avg: 438.06 / Max: 438.2Min: 1774.53 / Avg: 1774.81 / Max: 1774.97Min: 1037.44 / Avg: 1038.54 / Max: 1039.61. (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.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G77001400210028003500SE +/- 0.53, N = 3SE +/- 1.09, N = 3SE +/- 19.85, N = 3751.623036.681352.091. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730609012015024.17135.3673.98
MinAvgMaxGen9 - i7-8565U0.8431.135.68Gen12 Xe - i7-1165G72.0222.430.36Gen11 - i7-1065G71.0418.327.49OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Peak Half-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7140280420560700163.40646.10346.691. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G75001000150020002500Min: 750.58 / Avg: 751.62 / Max: 752.35Min: 3034.49 / Avg: 3036.68 / Max: 3037.78Min: 1319.49 / Avg: 1352.09 / Max: 1388.021. (CXX) g++ options: -ldl -pthread

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150SE +/- 0.05, N = 7SE +/- 0.34, N = 12SE +/- 0.23, N = 1138.97156.16140.161. (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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7481216202.2117.8117.77
MinAvgMaxGen9 - i7-8565U0.7217.639.59Gen12 Xe - i7-1165G71.348.828.75Gen11 - i7-1065G71.087.929.62OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150Min: 38.84 / Avg: 38.97 / Max: 39.13Min: 154.26 / Avg: 156.16 / Max: 157.89Min: 138.96 / Avg: 140.16 / Max: 141.421. (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: vgg16Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3152.7938.4496.32MIN: 151.88 / MAX: 153.67MIN: 38.09 / MAX: 38.78MIN: 92.64 / MAX: 97.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7150300450600750702.83180.67375.651. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150Min: 152.69 / Avg: 152.79 / Max: 152.86Min: 38.42 / Avg: 38.44 / Max: 38.46Min: 96.27 / Avg: 96.32 / Max: 96.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500SE +/- 5.24, N = 3SE +/- 7.84, N = 3SE +/- 8.08, N = 338915355791. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7163248648014.0570.0537.81
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7816243240Min: 0.72 / Avg: 27.68 / Max: 38.66Min: 1.83 / Avg: 21.91 / Max: 35.23Min: 0.88 / Avg: 15.31 / Max: 27.33
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G77014021028035084.57326.60148.461. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500Min: 379 / Avg: 389.33 / Max: 396Min: 1527 / Avg: 1535.33 / Max: 1551Min: 565 / Avg: 579 / Max: 5931. (CXX) g++ options: -flto -pthread

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7130260390520650SE +/- 6.51, N = 3SE +/- 1.67, N = 3149584288
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Pixmark Piano - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G76121824306.0127.3917.13
MinAvgMaxGen9 - i7-8565U0.924.858.65Gen12 Xe - i7-1165G71.3321.349.3Gen11 - i7-1065G73.7816.841.22OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7100200300400500Min: 577 / Avg: 584 / Max: 597Min: 286 / Avg: 287.67 / Max: 291

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: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835SE +/- 0.02, N = 3SE +/- 0.40, N = 3SE +/- 0.11, N = 37.8430.5220.10
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.3150.630.9451.261.5750.241.401.24
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71020304050Min: 0.92 / Avg: 32.16 / Max: 51.2Min: 1.68 / Avg: 21.76 / Max: 42.4Min: 0.96 / Avg: 16.2 / Max: 27.88
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72468101.706.495.151. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835Min: 7.8 / Avg: 7.84 / Max: 7.87Min: 29.74 / Avg: 30.52 / Max: 31.09Min: 19.92 / Avg: 20.1 / Max: 20.3

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 35.8122.4411.30
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.22950.4590.68850.9181.14750.221.020.75
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7918273645Min: 0.7 / Avg: 26.32 / Max: 42.97Min: 1.46 / Avg: 21.9 / Max: 33.76Min: 0.97 / Avg: 15.07 / Max: 24.04
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.07332.14663.21994.29325.36651.264.772.901. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025Min: 5.79 / Avg: 5.81 / Max: 5.83Min: 22.33 / Avg: 22.44 / Max: 22.63Min: 11.15 / Avg: 11.3 / Max: 11.41

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G74080120160200SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 1.66, N = 354.26189.76174.161. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G736912152.598.3510.35
MinAvgMaxGen9 - i7-8565U0.721.039.66Gen12 Xe - i7-1165G71.0622.739.91Gen11 - i7-1065G70.9816.830.86OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150Min: 54.24 / Avg: 54.26 / Max: 54.28Min: 189.73 / Avg: 189.76 / Max: 189.8Min: 171.98 / Avg: 174.16 / Max: 177.431. (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: resnet18Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 323.897.1817.12MIN: 23.4 / MAX: 24.3MIN: 6.79 / MAX: 7.65MIN: 16.86 / MAX: 17.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G720406080100109.8933.7566.771. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 23.89 / Avg: 23.89 / Max: 23.9Min: 7.14 / Avg: 7.18 / Max: 7.22Min: 17.09 / Avg: 17.12 / Max: 17.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 351.4615.4935.91MIN: 50.23 / MAX: 52.98MIN: 15.23 / MAX: 15.68MIN: 35.46 / MAX: 36.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G750100150200250236.7272.80140.051. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Gen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71020304050Min: 51.42 / Avg: 51.46 / Max: 51.51Min: 15.46 / Avg: 15.49 / Max: 15.51Min: 35.87 / Avg: 35.91 / Max: 361. (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 ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7100200300400500SE +/- 1.20, N = 12SE +/- 1.34, N = 3SE +/- 2.13, N = 3138.52439.00153.151. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetteroneAPI Level Zero TestsTest: Peak Integer ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G75101520254.3120.009.15
OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71020304050Min: 0.77 / Avg: 32.12 / Max: 45.09Min: 1.91 / Avg: 21.95 / Max: 48.89Min: 0.97 / Avg: 16.75 / Max: 30.88
OpenBenchmarking.orgGFLOPS Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Peak Integer ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72040608010030.1193.4039.271. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Integer ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G780160240320400Min: 131.1 / Avg: 138.52 / Max: 144.64Min: 436.72 / Avg: 439 / Max: 441.36Min: 150.54 / Avg: 153.15 / Max: 157.371. (CXX) g++ options: -ldl -pthread

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: YesGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500SE +/- 2.33, N = 3SE +/- 1.30, N = 3SE +/- 3.12, N = 31614.84538.071120.00
OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835Min: 0.82 / Avg: 25.69 / Max: 29.43Min: 1.45 / Avg: 22.26 / Max: 26.61Min: 0.99 / Avg: 15.84 / Max: 22.6
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500Min: 1610.9 / Avg: 1614.84 / Max: 1618.97Min: 535.62 / Avg: 538.07 / Max: 540.03Min: 1115.44 / Avg: 1120 / Max: 1125.97

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71632486480SE +/- 0.03, N = 9SE +/- 0.09, N = 11SE +/- 0.20, N = 1024.6773.8248.911. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72468101.866.645.86
MinAvgMaxGen9 - i7-8565U0.6513.333.59Gen12 Xe - i7-1165G71.311.131.68Gen11 - i7-1065G70.928.321.95OpenBenchmarking.orgWatts, Fewer Is BetterViennaCL 1.4.2CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71428425670Min: 24.54 / Avg: 24.67 / Max: 24.77Min: 73.34 / Avg: 73.82 / Max: 74.41Min: 48.12 / Avg: 48.91 / Max: 49.851. (CXX) g++ options: -rdynamic -lOpenCL

RealSR-NCNN

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G74080120160200SE +/- 0.57, N = 3SE +/- 0.44, N = 3SE +/- 0.34, N = 3202.6068.31143.99
MinAvgMaxGen9 - i7-8565U0.725.730.74Gen12 Xe - i7-1165G71.5222.126.58Gen11 - i7-1065G71.0315.522.68OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption Monitor918273645
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G74080120160200Min: 201.45 / Avg: 202.6 / Max: 203.24Min: 67.43 / Avg: 68.31 / Max: 68.76Min: 143.46 / Avg: 143.99 / Max: 144.61

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71122334455SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 315.9046.3734.82
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.51981.03961.55942.07922.5990.542.142.31
MinAvgMaxGen9 - i7-8565U0.729.646.58Gen12 Xe - i7-1165G71.8921.733.41Gen11 - i7-1065G70.9515.125.66OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G736912153.469.878.931. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7918273645Min: 15.72 / Avg: 15.9 / Max: 16.22Min: 46.33 / Avg: 46.37 / Max: 46.45Min: 34.68 / Avg: 34.82 / Max: 34.9

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 ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500SE +/- 1.60, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3418.861219.52920.211. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is BetteroneAPI Level Zero TestsTest: Peak Single-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7132639526513.9354.9959.52
MinAvgMaxGen9 - i7-8565U0.8130.137.26Gen12 Xe - i7-1165G71.4422.231.94Gen11 - i7-1065G71.1415.528.43OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor1122334455
OpenBenchmarking.orgGB/s Per GHz, More Is BetteroneAPI Level Zero TestsPerformance Per Clock - Test: Peak Single-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G76012018024030091.06259.47235.951. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak Single-Precision ComputeGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72004006008001000Min: 416.59 / Avg: 418.86 / Max: 421.95Min: 1219.51 / Avg: 1219.52 / Max: 1219.52Min: 920.1 / Avg: 920.21 / Max: 920.311. (CXX) g++ options: -ldl -pthread

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G748121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 35.816.49.0MAX: 7.5MAX: 21.3MAX: 10.8
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.16650.3330.49950.6660.83250.230.740.50
MinAvgMaxGen9 - i7-8565U1.1225.734.69Gen12 Xe - i7-1165G72.3822.040.39Gen11 - i7-1065G72.9218.035.3OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G748121620Min: 5.8 / Avg: 5.83 / Max: 5.9Min: 16.4 / Avg: 16.4 / Max: 16.4Min: 9 / Avg: 9.03 / Max: 9.1

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: NASNer Large - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.15652.3133.46954.6265.7825SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.845.143.31
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.0540.1080.1620.2160.270.060.240.22
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71020304050Min: 0.68 / Avg: 28.72 / Max: 48.17Min: 1.61 / Avg: 21.71 / Max: 33.33Min: 0.83 / Avg: 14.99 / Max: 25.15
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.24530.49060.73590.98121.22650.40001.09000.84871. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7246810Min: 1.83 / Avg: 1.84 / Max: 1.85Min: 5.14 / Avg: 5.14 / Max: 5.14Min: 3.3 / Avg: 3.31 / Max: 3.32

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G720406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.64, N = 675.2527.2253.10
MinAvgMaxGen9 - i7-8565U124.826.97Gen12 Xe - i7-1165G71.6319.823.33Gen11 - i7-1065G73.7517.322.57OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Power Consumption Monitor816243240
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71428425670Min: 75.2 / Avg: 75.25 / Max: 75.29Min: 27.17 / Avg: 27.22 / Max: 27.25Min: 49.89 / Avg: 53.1 / Max: 53.87

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730M60M90M120M150MSE +/- 3375.98, N = 3SE +/- 1753385.91, N = 4SE +/- 1031557.09, N = 647930812.6132508055.185184313.21. (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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.3M2.6M3.9M5.2M6.5M1343812.705935645.805650341.30
MinAvgMaxGen9 - i7-8565U0.9635.741.41Gen12 Xe - i7-1165G71.4522.334.65Gen11 - i7-1065G71.1415.130.03OpenBenchmarking.orgWatts, Fewer Is BetterJuliaGPU 1.2pts1CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgSamples/sec Per GHz, More Is BetterJuliaGPU 1.2pts1Performance Per Clock - OpenCL Device: GPUGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G76M12M18M24M30M10419741.8728193203.2121842131.591. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G720M40M60M80M100MMin: 47925190.5 / Avg: 47930812.6 / Max: 47936861.8Min: 129483633.2 / Avg: 132508055.1 / Max: 137491728.3Min: 83742969.3 / Avg: 85184313.18 / Max: 903155281. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 910.3728.6516.14
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.29480.58960.88441.17921.4740.381.310.81
MinAvgMaxGen9 - i7-8565U0.8327.130.66Gen12 Xe - i7-1165G71.4821.933.86Gen11 - i7-1065G71.5220.035.87OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 10.34 / Avg: 10.37 / Max: 10.39Min: 28.56 / Avg: 28.65 / Max: 28.78Min: 15.53 / Avg: 16.14 / Max: 17.82

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G748121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 36.4217.4916.03
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.22050.4410.66150.8821.10250.210.860.98
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71020304050Min: 0.71 / Avg: 31.16 / Max: 49.62Min: 1.81 / Avg: 20.41 / Max: 44.56Min: 0.91 / Avg: 16.44 / Max: 45.28
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.92481.84962.77443.69924.6241.403.724.111. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G748121620Min: 6.41 / Avg: 6.42 / Max: 6.43Min: 17.46 / Avg: 17.49 / Max: 17.54Min: 15.79 / Avg: 16.03 / Max: 16.43

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 325.779.4716.63MIN: 25.1 / MAX: 26.35MIN: 8.7 / MAX: 9.75MIN: 15.99 / MAX: 17.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150118.5444.5164.861. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 25.75 / Avg: 25.77 / Max: 25.79Min: 9.46 / Avg: 9.47 / Max: 9.48Min: 16.57 / Avg: 16.63 / Max: 16.681. (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: VGG16 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.34, N = 128.1822.1819.93
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.27230.54460.81691.08921.36150.261.071.21
MinAvgMaxGen9 - i7-8565U0.7931.949.75Gen12 Xe - i7-1165G71.5220.853.25Gen11 - i7-1065G70.8816.545.35OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1530456075
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.14982.29963.44944.59925.7491.784.725.111. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7510152025Min: 8.06 / Avg: 8.18 / Max: 8.32Min: 22.14 / Avg: 22.18 / Max: 22.25Min: 19.26 / Avg: 19.93 / Max: 23.6

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 311.4130.6117.74
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Renderer: OpenGLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.3150.630.9451.261.5750.431.401.13
MinAvgMaxGen9 - i7-8565U1.0226.736.62Gen12 Xe - i7-1165G71.7521.936.24Gen11 - i7-1065G71.9115.729.91OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835Min: 11.33 / Avg: 11.41 / Max: 11.54Min: 30.51 / Avg: 30.61 / Max: 30.77Min: 17.6 / Avg: 17.74 / Max: 17.97

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7400800120016002000SE +/- 8.41, N = 3SE +/- 23.44, N = 4SE +/- 15.32, N = 367217821062
OpenBenchmarking.orgPoints Per Watt, More Is BetterGpuTest 0.7.0Test: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G72040608010025.2681.1563.19
MinAvgMaxGen9 - i7-8565U0.9526.640.32Gen12 Xe - i7-1165G71.5922.063.06Gen11 - i7-1065G73.8216.846.54OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G730060090012001500Min: 658 / Avg: 671.67 / Max: 687Min: 1753 / Avg: 1782 / Max: 1852Min: 1036 / Avg: 1061.67 / Max: 1089

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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430SE +/- 0.39, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 325.749.7422.36MIN: 24.44 / MAX: 35.25MIN: 9.4 / MAX: 29.44MIN: 19.29 / MAX: 35.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150118.4045.7887.201. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 24.97 / Avg: 25.74 / Max: 26.24Min: 9.64 / Avg: 9.74 / Max: 9.87Min: 21.97 / Avg: 22.36 / Max: 22.651. (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: Mobilenet - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G770140210280350SE +/- 0.03, N = 3SE +/- 0.92, N = 3SE +/- 3.34, N = 3116.08299.60242.83
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7481216203.6313.5915.04
MinAvgMaxGen9 - i7-8565U0.7132.047.45Gen12 Xe - i7-1165G71.6622.042.86Gen11 - i7-1065G71.1316.126.96OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7142842567025.2363.7462.261. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G750100150200250Min: 116.03 / Avg: 116.08 / Max: 116.14Min: 298.38 / Avg: 299.6 / Max: 301.41Min: 236.36 / Avg: 242.83 / Max: 247.48

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G720406080100SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 1.07, N = 334.5287.2975.57
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71.07782.15563.23344.31125.3891.104.044.79
MinAvgMaxGen9 - i7-8565U0.5731.550.13Gen12 Xe - i7-1165G71.5221.644.63Gen11 - i7-1065G70.9715.828.29OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1428425670
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G75101520257.5018.5719.381. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G720406080100Min: 33.98 / Avg: 34.52 / Max: 35.2Min: 87.22 / Avg: 87.29 / Max: 87.35Min: 74.16 / Avg: 75.57 / Max: 77.66

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: ReadGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71326395265SE +/- 0.23, N = 3SE +/- 0.75, N = 3SE +/- 0.17, N = 322.757.141.31. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.60751.2151.82252.433.03751.152.452.70
MinAvgMaxGen9 - i7-8565U0.6819.822.99Gen12 Xe - i7-1165G71.823.337.99Gen11 - i7-1065G70.9815.331.39OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71122334455Min: 22.3 / Avg: 22.73 / Max: 23.1Min: 55.6 / Avg: 57.1 / Max: 57.9Min: 41 / Avg: 41.33 / Max: 41.51. (CC) gcc options: -O2 -flto -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: NoGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G73691215SE +/- 0.026, N = 5SE +/- 0.013, N = 8SE +/- 0.025, N = 610.2884.0957.062
MinAvgMaxGen9 - i7-8565U0.8118.526.95Gen12 Xe - i7-1165G71.0812.722.65Gen11 - i7-1065G73.7114.922.56OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Power Consumption Monitor816243240
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G73691215Min: 10.21 / Avg: 10.29 / Max: 10.34Min: 4.05 / Avg: 4.1 / Max: 4.14Min: 6.99 / Avg: 7.06 / Max: 7.16

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: squeezenetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.32, N = 328.2711.5124.65MIN: 27.92 / MAX: 40.05MIN: 11.25 / MAX: 13.33MIN: 21.12 / MAX: 29.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x GHz, Fewer Is BetterNCNN 20200916Performance Per Clock - Target: Vulkan GPU - Model: squeezenetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7306090120150130.0454.1096.141. Gen9 - i7-8565U: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.60 2. Gen12 Xe - i7-1165G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.70 3. Gen11 - i7-1065G7: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.90
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7612182430Min: 28.18 / Avg: 28.27 / Max: 28.38Min: 11.47 / Avg: 11.51 / Max: 11.55Min: 24.12 / Avg: 24.65 / Max: 25.221. (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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 312.229.617.0MAX: 15.2MAX: 40.6MAX: 23.3
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G70.30150.6030.90451.2061.50750.481.340.89
MinAvgMaxGen9 - i7-8565U1.0825.631.34Gen12 Xe - i7-1165G71.6822.138.82Gen11 - i7-1065G72.319.034.82OpenBenchmarking.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 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G7714212835Min: 12.1 / Avg: 12.17 / Max: 12.2Min: 29.5 / Avg: 29.63 / Max: 29.9Min: 16.9 / Avg: 17.03 / Max: 17.2

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 BandwidthGen9 - i7-8565UGen12 Xe - i7-1165G7Gen11 - i7-1065G71326395265SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 324.5356.9434.751. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is BetteroneAPI Level Zero TestsTest: Peak Float16 Global Memory Bandwidth