Iris Plus G7 Ice Lake

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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Ice Lake
October 22 2020
  10 Hours, 11 Minutes
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Ice Lake

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: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz

OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-81797fc 2020-10-22 focal-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 9.3.0, 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 1.9.1
Python Notes: Python 3.8.5
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

Iris Plus G7 Ice LakeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34ef16GBToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHzUbuntu 20.045.9.1-050901-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.3.0-devel (git-81797fc 2020-10-22 focal-oibaf-ppa)OpenCL 3.01.2.145GCC 9.3.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionIris Plus G7 Ice Lake BenchmarksSystem Logs- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 1.9.1- Python 3.8.5- 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

Iris Plus G7 Ice Lakeplaidml: No - Inference - NASNer Large - OpenCLrealsr-ncnn: 4x - Yesshoc: OpenCL - Texture Read Bandwidthoneapi-level-zero: Peak Integer Computelczero: OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetplaidml: No - Inference - IMDB LSTM - OpenCLunigine-heaven: 1920 x 1200 - Fullscreen - OpenGLplaidml: No - Inference - VGG19 - OpenCLunigine-super: 1920 x 1200 - Fullscreen - Medium - OpenGLplaidml: No - Inference - VGG16 - OpenCLunigine-valley: 1920 x 1200 - Fullscreen - OpenGLunigine-super: 1920 x 1200 - Fullscreen - Low - OpenGLplaidml: No - Inference - Inception V3 - OpenCLoneapi-level-zero: Peak Single-Precision Computerealsr-ncnn: 4x - Noxonotic: 1920 x 1200 - Ultimateetlegacy: Renderer2 - 1920 x 1200xonotic: 1920 x 1200 - Ultraplaidml: No - Inference - ResNet 50 - OpenCLxonotic: 1920 x 1200 - Highgputest: GiMark - 1920 x 1200 - Fullscreenxonotic: 1920 x 1200 - Lowgputest: Pixmark Piano - 1920 x 1200 - Fullscreengputest: TessMark - 1920 x 1200 - Fullscreengputest: Furmark - 1920 x 1200 - Fullscreengputest: Pixmark Volplosion - 1920 x 1200 - Fullscreenoneapi-level-zero: Peak System Memory Copy to Shared Memoryoneapi-level-zero: Peak Half-Precision Computewaifu2x-ncnn: 2x - 3 - Yesjuliagpu: GPUcl-mem: Readcl-mem: Writecl-mem: Copymandelgpu: GPUplaidml: No - Inference - Mobilenet - OpenCLshoc: OpenCL - MD5 Hashoneapi-level-zero: Peak Float16 Global Memory Bandwidthtesseract: 1920 x 1200clpeak: Single-Precision Floatclpeak: Global Memory Bandwidthshoc: OpenCL - Max SP Flopsoneapi-level-zero: Host-To-Device-To-Host Image Copyoneapi-level-zero: Host-To-Device Bandwidthoneapi-level-zero: Host-To-Device Bandwidthoneapi-level-zero: Device-To-Host Bandwidthoneapi-level-zero: Device-To-Host Bandwidthclpeak: Transfer Bandwidth enqueueWriteBufferwaifu2x-ncnn: 2x - 3 - Nofinancebench: Monte-Carlo OpenCLshoc: OpenCL - Triadclpeak: Kernel Latencyviennacl: OpenCL LU Factorizationshoc: OpenCL - FFT SPoneapi-level-zero: Peak Kernel Launch Latencyshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackfinancebench: Black-Scholes OpenCLIce Lake3.651080.035179.399159.27165412.5939.8935.9016.6617.1097.2218.651.8316.807.585.648.677.5418.9921.9320.6417.079216.049.720.2119.016918.537.85999.871136.62898.445784991.8121.415643279.28141.87053051771209.75016302923675109676815.43151369.7451.93390037990.342.032.335.725219078.0251.950.679737.179192.435521047.0045.715330.1310.631112504.4421.46726112492.3921.48822143.856.926598.38357113.347236.5248.1772141.03726.967539.540241.21386.434OpenBenchmarking.org

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: OpenCLIce Lake0.82131.64262.46393.28524.1065SE +/- 0.01, N = 33.65
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorIce Lake612182430Min: 0.39 / Avg: 14.86 / Max: 25.491. Ice Lake: Approximate power consumption of 17010 Joules per run.

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: YesIce Lake2004006008001000SE +/- 0.39, N = 31080.04
OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption MonitorIce Lake510152025Min: 0.35 / Avg: 14.96 / Max: 20.311. Ice Lake: Approximate power consumption of 16210 Joules per run.

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 BandwidthIce Lake4080120160200SE +/- 2.21, N = 12179.401. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption MonitorIce Lake714212835Min: 0.2 / Avg: 14.99 / Max: 29.441. Ice Lake: Approximate power consumption of 2850 Joules per run.

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 ComputeIce Lake4080120160200SE +/- 0.03, N = 3159.271. (CXX) g++ options: -ldl -pthread
OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption MonitorIce Lake612182430Min: 0.39 / Avg: 15.06 / Max: 28.761. Ice Lake: Approximate power consumption of 7875 Joules per run.

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: OpenCLIce Lake140280420560700SE +/- 7.22, N = 36541. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorIce Lake612182430Min: 0.46 / Avg: 14.97 / Max: 26.271. Ice Lake: Approximate power consumption of 6021 Joules per run.

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: DenseNet 201 - Device: OpenCLIce Lake3691215SE +/- 0.15, N = 312.59
MinAvgMaxIce Lake0.414.924.6OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 5946 Joules per run.

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-tinyIce Lake918273645SE +/- 0.12, N = 339.89MIN: 34.42 / MAX: 47.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxIce Lake0.15.024.0OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 1517 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ice Lake816243240SE +/- 0.03, N = 335.90MIN: 35.32 / MAX: 36.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetIce Lake48121620SE +/- 0.01, N = 316.66MIN: 15.65 / MAX: 17.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ice Lake48121620SE +/- 0.01, N = 317.10MIN: 16.44 / MAX: 17.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ice Lake20406080100SE +/- 0.06, N = 397.22MIN: 94.12 / MAX: 98.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetIce Lake510152025SE +/- 0.02, N = 318.65MIN: 18.33 / MAX: 19.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceIce Lake0.41180.82361.23541.64722.059SE +/- 0.02, N = 31.83MIN: 1.64 / MAX: 5.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ice Lake48121620SE +/- 0.03, N = 316.80MIN: 16.5 / MAX: 17.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetIce Lake246810SE +/- 0.02, N = 37.58MIN: 7.3 / MAX: 8.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ice Lake1.2692.5383.8075.0766.345SE +/- 0.03, N = 35.64MIN: 5.4 / MAX: 6.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ice Lake246810SE +/- 0.03, N = 38.67MIN: 8.4 / MAX: 9.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ice Lake246810SE +/- 0.06, N = 37.54MIN: 6.97 / MAX: 8.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetIce Lake510152025SE +/- 0.01, N = 318.99MIN: 18.53 / MAX: 22.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetIce Lake510152025SE +/- 0.03, N = 321.93MIN: 21.24 / MAX: 26.31. (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: IMDB LSTM - Device: OpenCLIce Lake510152025SE +/- 0.02, N = 320.64
MinAvgMaxIce Lake0.315.025.9OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 4099 Joules per run.

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: OpenGLIce Lake48121620SE +/- 0.01, N = 317.08
MinAvgMaxIce Lake0.615.026.9OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Heaven 4.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 4097 Joules per run.

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: OpenCLIce Lake48121620SE +/- 0.02, N = 316.04
MinAvgMaxIce Lake0.414.331.9OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 3477 Joules per run.

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: OpenGLIce Lake3691215SE +/- 0.00, N = 39.7MAX: 11.7
MinAvgMaxIce Lake0.514.927.6OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 3018 Joules per run.

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: OpenCLIce Lake510152025SE +/- 0.02, N = 320.21
MinAvgMaxIce Lake0.414.241.5OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor11223344551. Ice Lake: Approximate power consumption of 2845 Joules per run.

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: OpenGLIce Lake510152025SE +/- 0.03, N = 319.02
MinAvgMaxIce Lake0.615.029.3OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Valley 1.0CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 2979 Joules per run.

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: OpenGLIce Lake510152025SE +/- 0.03, N = 318.5MAX: 23.7
MinAvgMaxIce Lake0.615.026.5OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 2961 Joules per run.

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: OpenCLIce Lake918273645SE +/- 0.05, N = 337.85
MinAvgMaxIce Lake0.414.824.8OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 2663 Joules per run.

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 ComputeIce Lake2004006008001000SE +/- 0.81, N = 3999.871. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.315.126.3OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 2495 Joules per run.

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: NoIce Lake306090120150SE +/- 0.36, N = 3136.63
MinAvgMaxIce Lake0.415.020.3OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 2114 Joules per run.

Xonotic

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

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: UltimateIce Lake20406080100SE +/- 0.42, N = 398.45MIN: 33 / MAX: 188
MinAvgMaxIce Lake0.615.131.2OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 1762 Joules per run.

ET: Legacy

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

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.75Renderer: Renderer2 - Resolution: 1920 x 1200Ice Lake20406080100SE +/- 1.16, N = 591.8
MinAvgMaxIce Lake0.515.125.6OpenBenchmarking.orgWatts, Fewer Is BetterET: Legacy 2.75CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 952 Joules per run.

Xonotic

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

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: UltraIce Lake306090120150SE +/- 0.67, N = 3121.42MIN: 72 / MAX: 234
MinAvgMaxIce Lake0.715.132.2OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 1459 Joules per run.

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: OpenCLIce Lake20406080100SE +/- 0.06, N = 379.28
MinAvgMaxIce Lake0.414.626.6OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 1311 Joules per run.

Xonotic

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

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: HighIce Lake306090120150SE +/- 1.19, N = 3141.87MIN: 94 / MAX: 268
MinAvgMaxIce Lake0.815.130.7OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 1270 Joules per run.

GpuTest

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

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: GiMark - Resolution: 1920 x 1200 - Mode: FullscreenIce Lake400800120016002000SE +/- 5.57, N = 31771
MinAvgMaxIce Lake0.514.023.3OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 1109 Joules per run.

Xonotic

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

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1200 - Effects Quality: LowIce Lake50100150200250SE +/- 2.89, N = 4209.75MIN: 130 / MAX: 456
MinAvgMaxIce Lake0.615.024.8OpenBenchmarking.orgWatts, Fewer Is BetterXonotic 0.8.2CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 897 Joules per run.

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: FullscreenIce Lake60120180240300SE +/- 2.60, N = 3292
MinAvgMaxIce Lake0.514.423.5OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 1108 Joules per run.

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: TessMark - Resolution: 1920 x 1200 - Mode: FullscreenIce Lake8001600240032004000SE +/- 16.34, N = 33675
MinAvgMaxIce Lake0.514.525.2OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 1110 Joules per run.

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Furmark - Resolution: 1920 x 1200 - Mode: FullscreenIce Lake2004006008001000SE +/- 6.57, N = 31096
MinAvgMaxIce Lake0.714.834.8OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor10203040501. Ice Lake: Approximate power consumption of 1116 Joules per run.

OpenBenchmarking.orgPoints, More Is BetterGpuTest 0.7.0Test: Pixmark Volplosion - Resolution: 1920 x 1200 - Mode: FullscreenIce Lake170340510680850SE +/- 5.33, N = 3768
MinAvgMaxIce Lake0.514.722.8OpenBenchmarking.orgWatts, Fewer Is BetterGpuTest 0.7.0CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 1085 Joules per run.

oneAPI Level Zero Tests

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

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Peak System Memory Copy to Shared MemoryIce Lake48121620SE +/- 0.13, N = 315.431. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.515.231.8OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 1038 Joules per run.

OpenBenchmarking.orgGFLOPS, More Is BetteroneAPI Level Zero TestsTest: Peak Half-Precision ComputeIce Lake30060090012001500SE +/- 12.09, N = 31369.741. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.315.625.1OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 959 Joules per run.

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: YesIce Lake1224364860SE +/- 0.56, N = 351.93
MinAvgMaxIce Lake0.415.220.4OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 852 Joules per run.

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: GPUIce Lake20M40M60M80M100MSE +/- 951136.81, N = 890037990.31. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm
MinAvgMaxIce Lake0.515.329.0OpenBenchmarking.orgWatts, Fewer Is BetterJuliaGPU 1.2pts1CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 354 Joules per run.

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: ReadIce Lake1020304050SE +/- 0.09, N = 342.01. (CC) gcc options: -O2 -flto -lOpenCL
MinAvgMaxIce Lake0.415.529.7OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 732 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteIce Lake816243240SE +/- 0.09, N = 332.31. (CC) gcc options: -O2 -flto -lOpenCL
MinAvgMaxIce Lake0.515.629.4OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 731 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyIce Lake816243240SE +/- 0.09, N = 335.71. (CC) gcc options: -O2 -flto -lOpenCL
MinAvgMaxIce Lake0.416.029.6OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 751 Joules per run.

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: GPUIce Lake5M10M15M20M25MSE +/- 180639.93, N = 325219078.01. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
MinAvgMaxIce Lake0.515.528.1OpenBenchmarking.orgWatts, Fewer Is BetterMandelGPU 1.3pts1CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 717 Joules per run.

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: OpenCLIce Lake60120180240300SE +/- 0.69, N = 3251.95
MinAvgMaxIce Lake0.515.024.5OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 664 Joules per run.

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.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashIce Lake0.15290.30580.45870.61160.7645SE +/- 0.0007, N = 30.67971. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.516.026.7OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 652 Joules per run.

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 BandwidthIce Lake918273645SE +/- 0.04, N = 337.181. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.415.429.2OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 585 Joules per run.

Tesseract

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

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 1200Ice Lake20406080100SE +/- 1.04, N = 392.44
MinAvgMaxIce Lake0.515.425.6OpenBenchmarking.orgWatts, Fewer Is BetterTesseract 2014-05-12CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 571 Joules per run.

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 FloatIce Lake2004006008001000SE +/- 0.51, N = 31047.001. (CXX) g++ options: -O3 -rdynamic -lOpenCL
MinAvgMaxIce Lake0.216.226.6OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 470 Joules per run.

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthIce Lake1020304050SE +/- 0.04, N = 445.711. (CXX) g++ options: -O3 -rdynamic -lOpenCL
MinAvgMaxIce Lake0.415.528.9OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 314 Joules per run.

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 FlopsIce Lake11002200330044005500SE +/- 0.03, N = 35330.131. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.415.931.4OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 372 Joules per run.

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 CopyIce Lake3691215SE +/- 0.02, N = 310.631. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.316.337.5OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor11223344551. Ice Lake: Approximate power consumption of 369 Joules per run.

OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthIce Lake3K6K9K12K15KSE +/- 9.96, N = 412504.441. (CXX) g++ options: -ldl -pthread

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Host-To-Device BandwidthIce Lake510152025SE +/- 0.02, N = 421.471. (CXX) g++ options: -ldl -pthread

OpenBenchmarking.orgusec, Fewer Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthIce Lake3K6K9K12K15KSE +/- 26.95, N = 412492.391. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.316.129.0OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor9182736451. Ice Lake: Approximate power consumption of 269 Joules per run.

OpenBenchmarking.orgGB/s, More Is BetteroneAPI Level Zero TestsTest: Device-To-Host BandwidthIce Lake510152025SE +/- 0.05, N = 421.491. (CXX) g++ options: -ldl -pthread

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferIce Lake1020304050SE +/- 0.22, N = 643.851. (CXX) g++ options: -O3 -rdynamic -lOpenCL
MinAvgMaxIce Lake0.59.916.1OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor5101520251. Ice Lake: Approximate power consumption of 112 Joules per run.

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: NoIce Lake246810SE +/- 0.020, N = 66.926
MinAvgMaxIce Lake0.512.320.2OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 135 Joules per run.

FinanceBench

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

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLIce Lake130260390520650SE +/- 1.45, N = 7598.381. (CXX) g++ options: -O3 -lOpenCL
MinAvgMaxIce Lake0.410.124.1OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-06-06CPU Power Consumption Monitor8162432401. Ice Lake: Approximate power consumption of 100 Joules per run.

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: TriadIce Lake3691215SE +/- 0.18, N = 1513.351. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.37.519.8OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 49 Joules per run.

clpeak

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

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyIce Lake816243240SE +/- 0.11, N = 936.521. (CXX) g++ options: -O3 -rdynamic -lOpenCL
MinAvgMaxIce Lake0.38.622.1OpenBenchmarking.orgWatts, Fewer Is BetterclpeakCPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 67 Joules per run.

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 FactorizationIce Lake1122334455SE +/- 0.17, N = 1048.181. (CXX) g++ options: -rdynamic -lOpenCL
MinAvgMaxIce Lake0.47.421.7OpenBenchmarking.orgWatts, Fewer Is BetterViennaCL 1.4.2CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 49 Joules per run.

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 SPIce Lake306090120150SE +/- 0.28, N = 11141.041. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.56.221.7OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 36 Joules per run.

oneAPI Level Zero Tests

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

OpenBenchmarking.orgus, Fewer Is BetteroneAPI Level Zero TestsTest: Peak Kernel Launch LatencyIce Lake612182430SE +/- 0.06, N = 1226.971. (CXX) g++ options: -ldl -pthread
MinAvgMaxIce Lake0.35.521.6OpenBenchmarking.orgWatts, Fewer Is BetteroneAPI Level Zero TestsCPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 30 Joules per run.

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadIce Lake918273645SE +/- 0.09, N = 1339.541. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.45.022.4OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 26 Joules per run.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackIce Lake918273645SE +/- 0.14, N = 1241.211. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
MinAvgMaxIce Lake0.45.321.8OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10CPU Power Consumption Monitor6121824301. Ice Lake: Approximate power consumption of 27 Joules per run.

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 OpenCLIce Lake246810SE +/- 0.111, N = 156.4341. (CXX) g++ options: -O3 -lOpenCL
MinAvgMaxIce Lake0.42.911.9OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-06-06CPU Power Consumption Monitor481216201. Ice Lake: Approximate power consumption of 14 Joules per run.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringIce Lake918273645Min: 0.13 / Avg: 13.97 / Max: 41.53

73 Results Shown

PlaidML
RealSR-NCNN
SHOC Scalable HeterOgeneous Computing
oneAPI Level Zero Tests
LeelaChessZero
PlaidML
NCNN:
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
  Vulkan GPU - squeezenet
PlaidML
Unigine Heaven
PlaidML
Unigine Superposition
PlaidML
Unigine Valley
Unigine Superposition
PlaidML
oneAPI Level Zero Tests
RealSR-NCNN
Xonotic
ET: Legacy
Xonotic
PlaidML
Xonotic
GpuTest
Xonotic
GpuTest:
  Pixmark Piano - 1920 x 1200 - Fullscreen
  TessMark - 1920 x 1200 - Fullscreen
  Furmark - 1920 x 1200 - Fullscreen
  Pixmark Volplosion - 1920 x 1200 - Fullscreen
oneAPI Level Zero Tests:
  Peak System Memory Copy to Shared Memory
  Peak Half-Precision Compute
Waifu2x-NCNN Vulkan
JuliaGPU
cl-mem:
  Read
  Write
  Copy
MandelGPU
PlaidML
SHOC Scalable HeterOgeneous Computing
oneAPI Level Zero Tests
Tesseract
clpeak:
  Single-Precision Float
  Global Memory Bandwidth
SHOC Scalable HeterOgeneous Computing
oneAPI Level Zero Tests:
  Host-To-Device-To-Host Image Copy
  Host-To-Device Bandwidth
  Host-To-Device Bandwidth
  Device-To-Host Bandwidth
  Device-To-Host Bandwidth
clpeak
Waifu2x-NCNN Vulkan
FinanceBench
SHOC Scalable HeterOgeneous Computing
clpeak
ViennaCL
SHOC Scalable HeterOgeneous Computing
oneAPI Level Zero Tests
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Bus Speed Download
  OpenCL - Bus Speed Readback
FinanceBench
CPU Power Consumption Monitor

Ice Lake

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: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz

OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-81797fc 2020-10-22 focal-oibaf-ppa), OpenCL: OpenCL 3.0, Vulkan: 1.2.145, Compiler: GCC 9.3.0, 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 1.9.1
Python Notes: Python 3.8.5
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

Testing initiated at 22 October 2020 10:15 by user phoronix.