Intel Core i7-1165G7 testing with a System76 Galago Pro (2020-10-29_93987da-dirty BIOS) and Intel UHD on Pop 20.10 via the Phoronix Test Suite.
Dell Stock Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: KIOXIA KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.6.0-1031-oem (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 20.0.8, Vulkan: 1.2.131, 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev OS: Ubuntu 20.04, Kernel: 5.9.0-050900-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-442f48f 2020-10-15 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200
Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201016-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-442f48f 2020-10-15 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200
System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: System76 Galago Pro (2020-10-29_93987da-dirty BIOS) , Chipset: Intel Tiger Lake-LP , Memory: 64GB , Disk: 500GB Western Digital WDS500G2B0C-00PXH0 , Graphics: Intel UHD (1300MHz) , Audio: Realtek ALC293 , Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX201
OS: Pop 20.10, Kernel: 5.8.0-7625-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,noatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x30 - Thermald 2.3Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Dell Tiger Lake Stock Configuration Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Dell 0GG9PT (1.0.1 BIOS) Intel Device a0ef 16GB KIOXIA KBG40ZNS256G NVMe 256GB Intel Xe 3GB (1300MHz) Realtek ALC289 Intel Device a0f0 Ubuntu 20.04 5.6.0-1031-oem (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.8 1.2.131 GCC 9.3.0 ext4 1920x1200 5.9.0-050900-generic (x86_64) 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) 1.2.145 5.9.0-050900daily20201016-generic (x86_64) System76 Galago Pro (2020-10-29_93987da-dirty BIOS) Intel Tiger Lake-LP 64GB 500GB Western Digital WDS500G2B0C-00PXH0 Intel UHD (1300MHz) Realtek ALC293 Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX201 Pop 20.10 5.8.0-7625-generic (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 modesetting 1.20.9 4.6 Mesa 20.2.1 GCC 10.2.0 1920x1080 OpenBenchmarking.org Compiler Details - Dell Stock: --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 - Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: --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 - Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: --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 - System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: --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 Disk Details - Dell Stock: NONE / errors=remount-ro,relatime,rw - Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: NONE / errors=remount-ro,relatime,rw - Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: NONE / errors=remount-ro,relatime,rw - System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: NONE / errors=remount-ro,noatime,rw Processor Details - Dell Stock: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52 - Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52 - Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52 - System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x30 - Thermald 2.3 Python Details - Dell Stock: Python 3.8.5 - Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: Python 3.8.5 - Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: Python 3.8.5 - System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: Python 2.7.18 + Python 3.8.6 Security Details - 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
Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Logarithmic Result Overview Phoronix Test Suite RealSR-NCNN SQLite NCNN Tesseract Timed HMMer Search Xonotic librsvg GEGL BYTE Unix Benchmark GLmark2 PyBench RNNoise PHPBench WebP Image Encode SQLite Speedtest eSpeak-NG Speech Engine Selenium TensorFlow Lite LibreOffice Tungsten Renderer RawTherapee ET: Legacy SVT-AV1 NAMD Timed MAFFT Alignment Timed FFmpeg Compilation Timed MPlayer Compilation Timed Linux Kernel Compilation SVT-VP9 FFTE OpenVKL Zstd Compression Intel Open Image Denoise OSPray DeepSpeech
Dell Tiger Lake Stock Configuration ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - alexnet realsr-ncnn: 4x - No ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 sqlite: 1 ncnn: Vulkan GPU - shufflenet-v2 xonotic: 1920 x 1200 - Ultimate tesseract: 1920 x 1200 xonotic: 1920 x 1200 - Ultra hmmer: Pfam Database Search selenium: CanvasMark - Firefox rsvg: SVG Files To PNG gegl: Crop gegl: Scale gegl: Color Enhance gegl: Rotate 90 Degrees byte: Dhrystone 2 selenium: Octane - Firefox webp: Quality 100, Highest Compression xonotic: 1920 x 1200 - High glmark2: 1920 x 1200 pybench: Total For Average Test Times rnnoise: selenium: WASM collisionDetection - Firefox phpbench: PHP Benchmark Suite sqlite-speedtest: Timed Time - Size 1,000 espeak: Text-To-Speech Synthesis selenium: WASM imageConvolute - Firefox webp: Quality 100, Lossless webp: Quality 100, Lossless, Highest Compression tensorflow-lite: Inception V4 selenium: ARES-6 - Firefox selenium: Jetstream 2 - Firefox tungsten: Hair tungsten: Water Caustic ncnn: CPU - squeezenet tensorflow-lite: SqueezeNet ncnn: CPU - mobilenet tensorflow-lite: Mobilenet Float libreoffice: 20 Documents To PDF rawtherapee: Total Benchmark Time etlegacy: Renderer2 - 1920 x 1200 tungsten: Non-Exponential ncnn: CPU - yolov4-tiny selenium: Kraken - Firefox selenium: StyleBench - Firefox tungsten: Volumetric Caustic ncnn: CPU - mnasnet ncnn: CPU - blazeface ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU - shufflenet-v2 svt-av1: Enc Mode 8 - 1080p ncnn: CPU-v3-v3 - mobilenet-v3 namd: ATPase Simulation - 327,506 Atoms mafft: Multiple Sequence Alignment - LSU RNA build-ffmpeg: Time To Compile ncnn: CPU - efficientnet-b0 build-mplayer: Time To Compile build-linux-kernel: Time To Compile svt-vp9: Visual Quality Optimized - Bosphorus 1080p ncnn: CPU - googlenet svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p ffte: N=256, 3D Complex FFT Routine openvkl: vklBenchmark compress-zstd: 3 ncnn: CPU - resnet50 ospray: San Miguel - Path Tracer ncnn: CPU - resnet18 ospray: Magnetic Reconnection - Path Tracer compress-zstd: 19 oidn: Memorial deepspeech: CPU ncnn: CPU - vgg16 ospray: San Miguel - SciVis ospray: Magnetic Reconnection - SciVis ncnn: CPU - alexnet selenium: CanvasMark - Google Chrome inkscape: SVG Files To PNG selenium: Octane - Google Chrome selenium: Kraken - Google Chrome selenium: PSPDFKit WASM - Firefox selenium: WASM imageConvolute - Google Chrome selenium: PSPDFKit WASM - Google Chrome selenium: Jetstream 2 - Google Chrome selenium: ARES-6 - Google Chrome selenium: StyleBench - Google Chrome tnn: CPU - SqueezeNet v1.1 tnn: CPU - MobileNet v2 selenium: WASM collisionDetection - Google Chrome ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU - squeezenet Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 127.50 285.38 76.46 75.71 60.96 326.445 31.55 32.90 36.53 29.428 18.14 57.8875598 60.64169 86.2356768 191.574 10642 32.490 10.265 6.927 75.864 53.381 38796199.4 26573 9.648 125.8129763 559 1082 31.974 495.0 658662 75.907 39.401 42.3 23.585 49.051 8124393 53.45 70.665 72.0092 53.5761 26.71 552324 30.66 372673 7.984 99.823 84.7 21.5825 40.50 1022.0 68.8 28.1858 7.37 2.22 7.86 5.36 12.162 6.73 4.25953 11.033 134.333 10.54 94.156 210.531 68.23 22.06 90.18 22977.066446873 84.61 3228.1 44.50 0.54 19.51 125 21.1 6.48 81.04058 63.51 6.55 8.19 18.16 12475 28.289 42149 1146.2 1851 42.9888 2924 106.813 24.79 28.44 403.213 407.437 426.3442 96.49 48.27 5.03 77.04 80.21 15.53 40.73 11.27 11.69 10.11 73.874 8.03 8.41 10.62 29.336 8.08 121.4556317 96.83755 160.2983235 190.956 10568 34.629 11.424 8.121 76.984 54.630 38743943.6 26594 9.656 190.1400711 840 1081 32.022 494.8 655140 75.079 39.532 41.9 23.651 48.976 7997443 54.34 70.012 72.0044 53.7409 26.57 543259 30.83 369918 8.427 99.297 113.1 21.6283 40.59 1017.3 68.1 28.2100 7.16 2.21 7.72 5.36 12.079 6.70 4.34954 10.880 134.094 10.26 94.966 210.554 69.11 21.75 90.88 22845.274239880 84.39 3234.7 44.20 0.54 19.13 125 21.2 6.45 80.95592 63.48 6.58 8.19 18.08 12126 29.067 41457 1127.9 1866 42.7395 2911 106.453 24.88 28.5 402.951 407.097 426.0290 33.51 8.84 4.90 20.78 15.76 15.56 40.78 11.44 11.68 10.15 74.025 8.41 8.53 10.75 29.381 8.23 121.5501437 97.80785 162.0666039 192.095 10684 34.177 11.427 8.128 77.048 54.695 38803868.1 26430 9.642 189.9299691 833 1084 32.027 500.6 658287 75.381 39.438 41.7 23.687 49.066 8073200 53.78 70.162 72.1668 53.7853 26.51 546268 30.70 370251 8.398 99.513 114.5 21.4699 40.48 1013.7 67.8 28.2919 7.13 2.21 7.70 5.30 12.136 6.63 4.25984 10.949 134.155 10.37 94.800 210.497 69.66 21.65 91.24 23067.413219940 84.36 3259.5 44.28 0.54 19.21 125 21.2 6.44 81.87918 63.82 6.57 8.15 18.13 12215 28.831 41981 1139.5 1843 43.2333 2907 106.289 24.90 28.40 403.889 406.740 426.0135 31.53 8.50 4.73 20.05 13.71 15.67 41.68 11.69 11.89 10.46 73.100 8.15 8.72 10.71 10.062 8.51 122.7472843 122.5849 158.0563673 103.888 19224 19.291 6.399 4.667 45.817 34.083 58805538.8 39989 6.385 182.8075167 605 723 21.384 335.1 973073 51.316 26.855 28.8 16.146 33.469 5644540 37.88 99.784 50.7349 37.9828 18.90 393643 21.99 266148 6.064 72.178 116.1 15.8474 29.82 757.0 91.4 21.0618 5.51 1.66 5.88 4.03 16.043 5.08 3.30486 8.421 104.190 8.21 75.865 169.110 82.84 18.26 108.82 27387.309629610 100.74 3817.1 37.94 0.63 16.82 142.86 24.1 7.26 73.25253 57.60 7.19 8.93 16.61 38.19 9.36 2.63 19.65 12.66 OpenBenchmarking.org
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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.01, N = 15 SE +/- 0.02, N = 10 SE +/- 0.01, N = 3 15.53 15.56 15.67 127.50 MIN: 126.13 / MAX: 128.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 60 120 180 240 300 SE +/- 0.02, N = 3 SE +/- 0.01, N = 15 SE +/- 0.01, N = 10 SE +/- 0.02, N = 3 40.73 40.78 41.68 285.38 MIN: 284.18 / MAX: 288.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.06, N = 15 SE +/- 0.11, N = 10 SE +/- 0.04, N = 3 11.27 11.44 11.69 76.46 MIN: 75.98 / MAX: 77.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 20 40 60 80 100 SE +/- 0.08, N = 15 SE +/- 0.25, N = 3 SE +/- 0.07, N = 10 SE +/- 0.01, N = 3 11.68 11.69 11.89 75.71 MIN: 75.12 / MAX: 76.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 14 28 42 56 70 SE +/- 0.05, N = 3 SE +/- 0.02, N = 15 SE +/- 0.04, N = 10 SE +/- 0.06, N = 3 10.11 10.15 10.46 60.96 MIN: 59.99 / MAX: 62.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 70 140 210 280 350 SE +/- 0.15, N = 3 SE +/- 0.61, N = 3 SE +/- 0.62, N = 3 SE +/- 0.26, N = 3 73.10 73.87 74.03 326.45
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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 7 14 21 28 35 SE +/- 0.13, N = 3 SE +/- 0.13, N = 10 SE +/- 0.03, N = 15 SE +/- 0.01, N = 3 8.03 8.15 8.41 31.55 MIN: 7.45 / MAX: 11.55 MIN: 6.17 / MAX: 11.98 MIN: 7.53 / MAX: 13.12 MIN: 31.16 / MAX: 33.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.05, N = 15 SE +/- 0.05, N = 10 SE +/- 0.02, N = 3 8.41 8.53 8.72 32.90 MIN: 7.88 / MAX: 12.5 MIN: 7.92 / MAX: 12.59 MIN: 7.95 / MAX: 12.91 MIN: 32.53 / MAX: 33.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 8 16 24 32 40 SE +/- 0.22, N = 3 SE +/- 0.08, N = 10 SE +/- 0.11, N = 15 SE +/- 0.01, N = 3 10.62 10.71 10.75 36.53 MIN: 10.1 / MAX: 13.34 MIN: 10.27 / MAX: 13.93 MIN: 9.51 / MAX: 13.39 MIN: 36.02 / MAX: 37.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
SQLite This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 1 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 10.06 29.34 29.38 29.43 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 4 8 12 16 20 SE +/- 0.18, N = 3 SE +/- 0.05, N = 15 SE +/- 0.04, N = 9 SE +/- 0.01, N = 3 8.08 8.23 8.51 18.14 MIN: 7.51 / MAX: 11.06 MIN: 6.85 / MAX: 11.16 MIN: 7.51 / MAX: 13 MIN: 17.9 / MAX: 18.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Xonotic This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 1920 x 1200 - Effects Quality: Ultimate System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.33, N = 3 SE +/- 0.03, N = 3 122.75 121.55 121.46 57.89 MIN: 40 / MAX: 187 MIN: 35 / MAX: 208 MIN: 34 / MAX: 206 MIN: 23 / MAX: 97
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.org Frames Per Second, More Is Better Tesseract 2014-05-12 Resolution: 1920 x 1200 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 30 60 90 120 150 SE +/- 1.50, N = 5 SE +/- 0.24, N = 3 SE +/- 1.24, N = 5 SE +/- 0.30, N = 3 122.58 97.81 96.84 60.64
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.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 1920 x 1200 - Effects Quality: Ultra Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 40 80 120 160 200 SE +/- 0.44, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.06, N = 3 162.07 160.30 158.06 86.24 MIN: 71 / MAX: 251 MIN: 68 / MAX: 250 MIN: 84 / MAX: 216 MIN: 28 / MAX: 131
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.47, N = 3 103.89 190.96 191.57 192.10 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: CanvasMark - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 4K 8K 12K 16K 20K SE +/- 136.97, N = 3 SE +/- 180.55, N = 3 SE +/- 124.61, N = 3 SE +/- 62.55, N = 3 19224 10684 10642 10568 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0 3. Dell Stock: firefox 81.0 4. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0
librsvg RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.28, N = 3 19.29 32.49 34.18 34.63 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: rsvg-convert version 2.50.1 2. Dell Stock: rsvg-convert version 2.48.7 3. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: rsvg-convert version 2.48.7 4. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: rsvg-convert version 2.48.7
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 3 6 9 12 15 SE +/- 0.029, N = 3 SE +/- 0.056, N = 3 SE +/- 0.021, N = 3 SE +/- 0.053, N = 3 6.399 10.265 11.424 11.427
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 2 4 6 8 10 SE +/- 0.009, N = 3 SE +/- 0.076, N = 7 SE +/- 0.075, N = 3 SE +/- 0.045, N = 3 4.667 6.927 8.121 8.128
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 45.82 75.86 76.98 77.05
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 34.08 53.38 54.63 54.70
BYTE Unix Benchmark This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 13M 26M 39M 52M 65M SE +/- 39477.81, N = 3 SE +/- 157677.05, N = 3 SE +/- 65642.29, N = 3 SE +/- 159165.90, N = 3 58805538.8 38803868.1 38796199.4 38743943.6
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 9K 18K 27K 36K 45K SE +/- 112.52, N = 3 SE +/- 108.84, N = 3 SE +/- 142.08, N = 3 SE +/- 71.16, N = 3 39989 26594 26573 26430 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0 3. Dell Stock: firefox 81.0 4. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 3 6 9 12 15 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.019, N = 3 6.385 9.642 9.648 9.656 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 1920 x 1200 - Effects Quality: High Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 40 80 120 160 200 SE +/- 0.72, N = 3 SE +/- 0.61, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 190.14 189.93 182.81 125.81 MIN: 102 / MAX: 294 MIN: 104 / MAX: 294 MIN: 102 / MAX: 244 MIN: 42 / MAX: 165
GLmark2 This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1200 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 200 400 600 800 1000 840 833 605 559
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 200 400 600 800 1000 SE +/- 0.58, N = 3 SE +/- 2.19, N = 3 SE +/- 2.91, N = 3 SE +/- 3.28, N = 3 723 1081 1082 1084
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 21.38 31.97 32.02 32.03 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 110 220 330 440 550 SE +/- 5.57, N = 3 SE +/- 5.60, N = 3 SE +/- 5.95, N = 3 SE +/- 5.75, N = 3 335.1 494.8 495.0 500.6 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0 3. Dell Stock: firefox 81.0 4. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 200K 400K 600K 800K 1000K SE +/- 2202.18, N = 3 SE +/- 2765.05, N = 3 SE +/- 339.63, N = 3 SE +/- 308.02, N = 3 973073 658662 658287 655140
SQLite Speedtest This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 51.32 75.08 75.38 75.91 1. (CC) gcc options: -O2 -ldl -lz -lpthread
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 9 18 27 36 45 SE +/- 0.14, N = 4 SE +/- 0.04, N = 4 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 26.86 39.40 39.44 39.53 1. (CC) gcc options: -O2 -std=c99
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 10 20 30 40 50 SE +/- 0.34, N = 5 SE +/- 0.41, N = 3 SE +/- 0.47, N = 3 SE +/- 0.60, N = 3 28.8 41.7 41.9 42.3 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0 3. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0 4. Dell Stock: firefox 81.0
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 16.15 23.59 23.65 23.69 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 11 22 33 44 55 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 33.47 48.98 49.05 49.07 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 2M 4M 6M 8M 10M SE +/- 661.44, N = 3 SE +/- 30979.20, N = 3 SE +/- 31675.24, N = 3 SE +/- 21367.97, N = 3 5644540 7997443 8073200 8124393
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 12 24 36 48 60 SE +/- 0.09, N = 3 SE +/- 0.35, N = 3 SE +/- 0.53, N = 3 SE +/- 0.14, N = 3 37.88 53.45 53.78 54.34 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Dell Stock: firefox 81.0 3. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0 4. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.58, N = 3 SE +/- 0.08, N = 3 SE +/- 0.83, N = 3 SE +/- 0.76, N = 3 99.78 70.67 70.16 70.01 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Dell Stock: firefox 81.0 3. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0 4. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 16 32 48 64 80 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.23, N = 3 SE +/- 0.43, N = 3 50.73 72.00 72.01 72.17 -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz 1. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 37.98 53.58 53.74 53.79 -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz 1. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 6 12 18 24 30 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 18.90 26.51 26.57 26.71 MIN: 17.95 / MAX: 24.41 MIN: 26.18 / MAX: 44.39 MIN: 26.2 / MAX: 42.64 MIN: 26.2 / MAX: 45.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 120K 240K 360K 480K 600K SE +/- 125.30, N = 3 SE +/- 9189.98, N = 3 SE +/- 7210.94, N = 4 SE +/- 7175.15, N = 4 393643 543259 546268 552324
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 7 14 21 28 35 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 21.99 30.66 30.70 30.83 MIN: 21.06 / MAX: 34.73 MIN: 30.26 / MAX: 48.27 MIN: 30.24 / MAX: 48.53 MIN: 30.27 / MAX: 53.23 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 80K 160K 240K 320K 400K SE +/- 5.21, N = 3 SE +/- 2883.76, N = 3 SE +/- 2710.56, N = 3 SE +/- 2626.69, N = 3 266148 369918 370251 372673
LibreOffice Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LibreOffice Test: 20 Documents To PDF System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 2 4 6 8 10 SE +/- 0.042, N = 23 SE +/- 0.087, N = 7 SE +/- 0.094, N = 7 SE +/- 0.098, N = 6 6.064 7.984 8.398 8.427 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: LibreOffice 7.0.2.2 00(Build:2) 2. Dell Stock: LibreOffice 6.4.6.2 40(Build:2) 3. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: LibreOffice 7.0.1.2 00(Build:2) 4. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: LibreOffice 7.0.1.2 00(Build:2)
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.91, N = 3 SE +/- 0.94, N = 3 SE +/- 0.93, N = 3 72.18 99.30 99.51 99.82 1. RawTherapee, version 5.8, command line.
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.org Frames Per Second, More Is Better ET: Legacy 2.75 Renderer: Renderer2 - Resolution: 1920 x 1200 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 30 60 90 120 150 SE +/- 0.82, N = 3 SE +/- 0.25, N = 3 SE +/- 0.35, N = 3 SE +/- 0.10, N = 3 116.1 114.5 113.1 84.7
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.21, N = 15 SE +/- 0.22, N = 8 SE +/- 0.14, N = 15 15.85 21.47 21.58 21.63 -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz 1. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 9 18 27 36 45 SE +/- 0.32, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 29.82 40.48 40.50 40.59 MIN: 28.42 / MAX: 41.97 MIN: 39.96 / MAX: 56.34 MIN: 39.5 / MAX: 56.64 MIN: 40.04 / MAX: 57.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 200 400 600 800 1000 SE +/- 2.07, N = 3 SE +/- 5.54, N = 3 SE +/- 2.45, N = 3 SE +/- 10.80, N = 3 757.0 1013.7 1017.3 1022.0 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0 3. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0 4. Dell Stock: firefox 81.0
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Firefox System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.54, N = 3 SE +/- 0.55, N = 3 SE +/- 0.15, N = 3 SE +/- 0.68, N = 3 91.4 68.8 68.1 67.8 1. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 2. Dell Stock: firefox 81.0 3. Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev: firefox 81.0 4. Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev: firefox 81.0
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.34, N = 3 SE +/- 0.40, N = 3 SE +/- 0.48, N = 3 21.06 28.19 28.21 28.29 -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz 1. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 5.51 7.13 7.16 7.37 MIN: 5.26 / MAX: 8.45 MIN: 7 / MAX: 16.24 MIN: 7.03 / MAX: 22.7 MIN: 6.99 / MAX: 25.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 0.4995 0.999 1.4985 1.998 2.4975 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.66 2.21 2.21 2.22 MIN: 1.61 / MAX: 4.22 MIN: 2.11 / MAX: 2.47 MIN: 2.12 / MAX: 2.5 MIN: 2.1 / MAX: 5.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 5.88 7.70 7.72 7.86 MIN: 5.37 / MAX: 11.08 MIN: 7.51 / MAX: 11.33 MIN: 7.53 / MAX: 24.42 MIN: 7.5 / MAX: 23.14 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 1.206 2.412 3.618 4.824 6.03 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 4.03 5.30 5.36 5.36 MIN: 3.89 / MAX: 6.86 MIN: 5.2 / MAX: 7.17 MIN: 5.2 / MAX: 5.61 MIN: 5.19 / MAX: 21.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.16, N = 5 SE +/- 0.13, N = 7 SE +/- 0.13, N = 7 16.04 12.16 12.14 12.08 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 5.08 6.63 6.70 6.73 MIN: 4.81 / MAX: 7.99 MIN: 6.42 / MAX: 9 MIN: 6.45 / MAX: 22.55 MIN: 6.44 / MAX: 21.14 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 0.9786 1.9572 2.9358 3.9144 4.893 SE +/- 0.03801, N = 3 SE +/- 0.00845, N = 3 SE +/- 0.01535, N = 3 SE +/- 0.06368, N = 3 3.30486 4.25953 4.25984 4.34954
Timed MAFFT Alignment This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 3 6 9 12 15 SE +/- 0.067, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.073, N = 3 8.421 10.880 10.949 11.033 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 8.21 10.26 10.37 10.54 MIN: 7.62 / MAX: 21.21 MIN: 10.11 / MAX: 25.41 MIN: 10.06 / MAX: 25.98 MIN: 10.08 / MAX: 26.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Timed MPlayer Compilation This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.46, N = 3 SE +/- 0.68, N = 3 SE +/- 0.44, N = 3 75.87 94.16 94.80 94.97
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 50 100 150 200 250 SE +/- 0.66, N = 3 SE +/- 0.40, N = 3 SE +/- 0.56, N = 3 SE +/- 0.59, N = 3 169.11 210.50 210.53 210.55
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.64, N = 3 SE +/- 0.71, N = 3 SE +/- 0.80, N = 3 82.84 69.66 69.11 68.23 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 18.26 21.65 21.75 22.06 MIN: 17.46 / MAX: 31.25 MIN: 21.46 / MAX: 39.44 MIN: 21.41 / MAX: 38.55 MIN: 21.4 / MAX: 41.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.39, N = 3 SE +/- 0.75, N = 3 SE +/- 0.05, N = 3 108.82 91.24 90.88 90.18 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 6K 12K 18K 24K 30K SE +/- 33.19, N = 3 SE +/- 237.45, N = 8 SE +/- 177.80, N = 15 SE +/- 214.94, N = 10 27387.31 23067.41 22977.07 22845.27 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.37, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 100.74 84.61 84.39 84.36 MIN: 1 / MAX: 446 MIN: 1 / MAX: 385 MIN: 1 / MAX: 377 MIN: 1 / MAX: 377
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 800 1600 2400 3200 4000 SE +/- 4.31, N = 3 SE +/- 4.08, N = 3 SE +/- 4.11, N = 3 SE +/- 0.48, N = 3 3817.1 3259.5 3234.7 3228.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.32, N = 3 SE +/- 0.23, N = 3 SE +/- 0.03, N = 3 37.94 44.20 44.28 44.50 MIN: 36.69 / MAX: 50.2 MIN: 41.94 / MAX: 63.17 MIN: 41.9 / MAX: 63.44 MIN: 43.97 / MAX: 60.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 0.1418 0.2836 0.4254 0.5672 0.709 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.63 0.54 0.54 0.54 MIN: 0.56 / MAX: 0.64 MAX: 0.55 MIN: 0.51 / MAX: 0.55 MIN: 0.52 / MAX: 0.55
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.23, N = 3 16.82 19.13 19.21 19.51 MIN: 16.18 / MAX: 41.28 MIN: 17.9 / MAX: 34.2 MIN: 18.14 / MAX: 36.52 MIN: 17.84 / MAX: 35.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 30 60 90 120 150 SE +/- 0.00, N = 12 142.86 125.00 125.00 125.00 MIN: 100 / MAX: 166.67 MIN: 111.11 / MAX: 142.86 MIN: 83.33 / MAX: 142.86 MIN: 111.11 / MAX: 142.86
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 24.1 21.2 21.2 21.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 7.26 6.48 6.45 6.44
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.30, N = 3 SE +/- 0.65, N = 3 SE +/- 0.51, N = 3 SE +/- 0.89, N = 3 73.25 80.96 81.04 81.88
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 14 28 42 56 70 SE +/- 0.14, N = 3 SE +/- 1.27, N = 3 SE +/- 1.01, N = 3 SE +/- 1.37, N = 3 57.60 63.48 63.51 63.82 MIN: 56.04 / MAX: 69.75 MIN: 59.74 / MAX: 88.27 MIN: 59.62 / MAX: 86.72 MIN: 59.74 / MAX: 81.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 2 4 6 8 10 SE +/- 0.00, N = 6 SE +/- 0.00, N = 12 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 7.19 6.58 6.57 6.55 MIN: 6.49 / MAX: 7.41 MIN: 6.13 / MAX: 6.67 MIN: 6.17 / MAX: 6.67 MIN: 6.02 / MAX: 6.67
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 2 4 6 8 10 SE +/- 0.00, N = 12 SE +/- 0.01, N = 6 SE +/- 0.01, N = 7 SE +/- 0.02, N = 3 8.93 8.19 8.19 8.15 MIN: 8.13 / MAX: 9.43 MIN: 7.52 / MAX: 8.33 MIN: 7.75 / MAX: 8.33 MIN: 8 / MAX: 8.26
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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 4 8 12 16 20 SE +/- 0.17, N = 3 SE +/- 0.34, N = 3 SE +/- 0.27, N = 3 SE +/- 0.27, N = 3 16.61 18.08 18.13 18.16 MIN: 15.98 / MAX: 47 MIN: 17.25 / MAX: 32.64 MIN: 17.24 / MAX: 33.4 MIN: 17.25 / MAX: 34.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: CanvasMark - Browser: Google Chrome Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 3K 6K 9K 12K 15K SE +/- 100.95, N = 3 SE +/- 118.83, N = 12 SE +/- 157.22, N = 12 12475 12215 12126 1. chrome 86.0.4240.75
Inkscape Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 7 14 21 28 35 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 28.29 28.83 29.07 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 9K 18K 27K 36K 45K SE +/- 47.10, N = 3 SE +/- 178.42, N = 3 SE +/- 60.83, N = 3 42149 41981 41457 1. chrome 86.0.4240.75
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock 200 400 600 800 1000 SE +/- 11.77, N = 3 SE +/- 14.60, N = 4 SE +/- 12.35, N = 3 1127.9 1139.5 1146.2 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 400 800 1200 1600 2000 SE +/- 18.02, N = 3 SE +/- 4.33, N = 3 SE +/- 20.50, N = 3 1843 1851 1866 1. firefox 81.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 10 20 30 40 50 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 42.74 42.99 43.23 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 600 1200 1800 2400 3000 SE +/- 10.49, N = 3 SE +/- 17.27, N = 3 SE +/- 12.55, N = 3 2907 2911 2924 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.63, N = 3 SE +/- 0.41, N = 3 SE +/- 0.64, N = 3 106.81 106.45 106.29 1. chrome 86.0.4240.75
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Google Chrome Dell Stock Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 6 12 18 24 30 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 24.79 24.88 24.90 1. chrome 86.0.4240.75
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 28.50 28.44 28.40 1. chrome 86.0.4240.75
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev 90 180 270 360 450 SE +/- 0.22, N = 3 SE +/- 0.48, N = 3 SE +/- 0.78, N = 3 402.95 403.21 403.89 MIN: 401.89 / MAX: 406.46 MIN: 401.81 / MAX: 414.16 MIN: 401.67 / MAX: 408.8 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 90 180 270 360 450 SE +/- 0.22, N = 3 SE +/- 0.38, N = 3 SE +/- 0.53, N = 3 406.74 407.10 407.44 MIN: 404.77 / MAX: 423.79 MIN: 404.5 / MAX: 430.44 MIN: 404.58 / MAX: 452.77 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 90 180 270 360 450 SE +/- 0.26, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 426.01 426.03 426.34 1. chrome 86.0.4240.75
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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 20 40 60 80 100 SE +/- 0.96, N = 15 SE +/- 2.75, N = 3 SE +/- 0.39, N = 10 SE +/- 0.37, N = 3 31.53 33.51 38.19 96.49 MIN: 22.06 / MAX: 70.71 MIN: 23.06 / MAX: 88.67 MIN: 21.34 / MAX: 60.19 MIN: 93.95 / MAX: 150.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Dell Stock 11 22 33 44 55 SE +/- 0.10, N = 15 SE +/- 0.35, N = 3 SE +/- 0.36, N = 10 SE +/- 0.01, N = 3 8.50 8.84 9.36 48.27 MIN: 7.73 / MAX: 10.45 MIN: 7.92 / MAX: 10.29 MIN: 7.67 / MAX: 14.27 MIN: 47.66 / MAX: 48.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 1.1318 2.2636 3.3954 4.5272 5.659 SE +/- 0.34, N = 10 SE +/- 0.07, N = 15 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 2.63 4.73 4.90 5.03 MIN: 1.39 / MAX: 15.5 MIN: 1.84 / MAX: 19.57 MIN: 3.23 / MAX: 29.16 MIN: 4.99 / MAX: 5.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.26, N = 10 SE +/- 0.21, N = 15 SE +/- 1.03, N = 3 SE +/- 0.05, N = 3 19.65 20.05 20.78 77.04 MIN: 11.71 / MAX: 65.64 MIN: 14.66 / MAX: 40.93 MIN: 15.88 / MAX: 36.41 MIN: 72.08 / MAX: 101.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Dell Stock 20 40 60 80 100 SE +/- 0.11, N = 10 SE +/- 0.38, N = 15 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 12.66 13.71 15.76 80.21 MIN: 78 / MAX: 125.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Dell Stock Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: KIOXIA KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.6.0-1031-oem (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 20.0.8, Vulkan: 1.2.131, 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 14 October 2020 16:35 by user phoronix.
Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: KIOXIA KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-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-442f48f 2020-10-15 focal-oibaf-ppa), 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 October 2020 12:22 by user phoronix.
Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.1 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: KIOXIA KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201016-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-442f48f 2020-10-15 focal-oibaf-ppa), 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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 October 2020 17:47 by user phoronix.
System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2 Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: System76 Galago Pro (2020-10-29_93987da-dirty BIOS), Chipset: Intel Tiger Lake-LP, Memory: 64GB, Disk: 500GB Western Digital WDS500G2B0C-00PXH0, Graphics: Intel UHD (1300MHz), Audio: Realtek ALC293, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX201
OS: Pop 20.10, Kernel: 5.8.0-7625-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,noatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x30 - Thermald 2.3Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 15:50 by user jeremy.