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
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 Dell Stock 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 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.02, N = 10 SE +/- 0.01, N = 15 SE +/- 0.03, N = 3 127.50 15.67 15.56 15.53 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 Dell Stock 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 60 120 180 240 300 SE +/- 0.02, N = 3 SE +/- 0.01, N = 10 SE +/- 0.01, N = 15 SE +/- 0.02, N = 3 285.38 41.68 40.78 40.73 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.11, N = 10 SE +/- 0.06, N = 15 SE +/- 0.03, N = 3 76.46 11.69 11.44 11.27 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.07, N = 10 SE +/- 0.08, N = 15 SE +/- 0.25, N = 3 75.71 11.89 11.68 11.69 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 Dell Stock 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 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.04, N = 10 SE +/- 0.02, N = 15 SE +/- 0.05, N = 3 60.96 10.46 10.15 10.11 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 Dell Stock 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 70 140 210 280 350 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.62, N = 3 SE +/- 0.61, N = 3 326.45 73.10 74.03 73.87
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 Dell Stock 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 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.13, N = 10 SE +/- 0.03, N = 15 SE +/- 0.13, N = 3 31.55 8.15 8.41 8.03 MIN: 31.16 / MAX: 33.22 MIN: 6.17 / MAX: 11.98 MIN: 7.53 / MAX: 13.12 MIN: 7.45 / MAX: 11.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Dell Stock 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 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.05, N = 10 SE +/- 0.05, N = 15 SE +/- 0.03, N = 3 32.90 8.72 8.53 8.41 MIN: 32.53 / MAX: 33.28 MIN: 7.95 / MAX: 12.91 MIN: 7.92 / MAX: 12.59 MIN: 7.88 / MAX: 12.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Dell Stock 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 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.08, N = 10 SE +/- 0.11, N = 15 SE +/- 0.22, N = 3 36.53 10.71 10.75 10.62 MIN: 36.02 / MAX: 37.09 MIN: 10.27 / MAX: 13.93 MIN: 9.51 / MAX: 13.39 MIN: 10.1 / MAX: 13.34 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 Dell Stock 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 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 29.43 10.06 29.38 29.34 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 Dell Stock 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 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.04, N = 9 SE +/- 0.05, N = 15 SE +/- 0.18, N = 3 18.14 8.51 8.23 8.08 MIN: 17.9 / MAX: 18.37 MIN: 7.51 / MAX: 13 MIN: 6.85 / MAX: 11.16 MIN: 7.51 / MAX: 11.06 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 Dell Stock 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 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.33, N = 3 57.89 122.75 121.55 121.46 MIN: 23 / MAX: 97 MIN: 40 / MAX: 187 MIN: 35 / MAX: 208 MIN: 34 / MAX: 206
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 Dell Stock 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 30 60 90 120 150 SE +/- 0.30, N = 3 SE +/- 1.50, N = 5 SE +/- 0.24, N = 3 SE +/- 1.24, N = 5 60.64 122.58 97.81 96.84
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 Dell Stock 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 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.42, N = 3 SE +/- 0.44, N = 3 SE +/- 0.13, N = 3 86.24 158.06 162.07 160.30 MIN: 28 / MAX: 131 MIN: 84 / MAX: 216 MIN: 71 / MAX: 251 MIN: 68 / MAX: 250
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 Dell Stock 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 40 80 120 160 200 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.47, N = 3 SE +/- 0.11, N = 3 191.57 103.89 192.10 190.96 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 Dell Stock 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 4K 8K 12K 16K 20K SE +/- 124.61, N = 3 SE +/- 136.97, N = 3 SE +/- 180.55, N = 3 SE +/- 62.55, N = 3 10642 19224 10684 10568 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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
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 Dell Stock 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 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.28, N = 3 32.49 19.29 34.18 34.63 1. Dell Stock: rsvg-convert version 2.48.7 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: rsvg-convert version 2.50.1 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 Dell Stock 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 3 6 9 12 15 SE +/- 0.056, N = 3 SE +/- 0.029, N = 3 SE +/- 0.053, N = 3 SE +/- 0.021, N = 3 10.265 6.399 11.427 11.424
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Dell Stock 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 2 4 6 8 10 SE +/- 0.076, N = 7 SE +/- 0.009, N = 3 SE +/- 0.045, N = 3 SE +/- 0.075, N = 3 6.927 4.667 8.128 8.121
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Dell Stock 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 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 75.86 45.82 77.05 76.98
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Dell Stock 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 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 53.38 34.08 54.70 54.63
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 Dell Stock 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 13M 26M 39M 52M 65M SE +/- 65642.29, N = 3 SE +/- 39477.81, N = 3 SE +/- 157677.05, N = 3 SE +/- 159165.90, N = 3 38796199.4 58805538.8 38803868.1 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 Dell Stock 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 9K 18K 27K 36K 45K SE +/- 142.08, N = 3 SE +/- 112.52, N = 3 SE +/- 71.16, N = 3 SE +/- 108.84, N = 3 26573 39989 26430 26594 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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
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 Dell Stock 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 3 6 9 12 15 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.019, N = 3 9.648 6.385 9.642 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 Dell Stock 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 40 80 120 160 200 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.61, N = 3 SE +/- 0.72, N = 3 125.81 182.81 189.93 190.14 MIN: 42 / MAX: 165 MIN: 102 / MAX: 244 MIN: 104 / MAX: 294 MIN: 102 / MAX: 294
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 Dell Stock 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 200 400 600 800 1000 559 605 833 840
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 Dell Stock 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 200 400 600 800 1000 SE +/- 2.91, N = 3 SE +/- 0.58, N = 3 SE +/- 3.28, N = 3 SE +/- 2.19, N = 3 1082 723 1084 1081
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 Dell Stock 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 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 31.97 21.38 32.03 32.02 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 Dell Stock 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 110 220 330 440 550 SE +/- 5.95, N = 3 SE +/- 5.57, N = 3 SE +/- 5.75, N = 3 SE +/- 5.60, N = 3 495.0 335.1 500.6 494.8 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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
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 Dell Stock 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 200K 400K 600K 800K 1000K SE +/- 2765.05, N = 3 SE +/- 2202.18, N = 3 SE +/- 339.63, N = 3 SE +/- 308.02, N = 3 658662 973073 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 75.91 51.32 75.38 75.08 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 Dell Stock 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 9 18 27 36 45 SE +/- 0.04, N = 4 SE +/- 0.14, N = 4 SE +/- 0.03, N = 4 SE +/- 0.05, N = 4 39.40 26.86 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 Dell Stock 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 10 20 30 40 50 SE +/- 0.60, N = 3 SE +/- 0.34, N = 5 SE +/- 0.41, N = 3 SE +/- 0.47, N = 3 42.3 28.8 41.7 41.9 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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
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 Dell Stock 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 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 23.59 16.15 23.69 23.65 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 Dell Stock 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 11 22 33 44 55 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 49.05 33.47 49.07 48.98 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 Dell Stock 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 2M 4M 6M 8M 10M SE +/- 21367.97, N = 3 SE +/- 661.44, N = 3 SE +/- 31675.24, N = 3 SE +/- 30979.20, N = 3 8124393 5644540 8073200 7997443
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 Dell Stock 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 12 24 36 48 60 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 SE +/- 0.53, N = 3 SE +/- 0.14, N = 3 53.45 37.88 53.78 54.34 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.58, N = 3 SE +/- 0.83, N = 3 SE +/- 0.76, N = 3 70.67 99.78 70.16 70.01 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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 Dell Stock 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 16 32 48 64 80 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.43, N = 3 SE +/- 0.23, N = 3 72.01 50.73 72.17 72.00 -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 Dell Stock 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 12 24 36 48 60 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.14, N = 3 53.58 37.98 53.79 53.74 -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 Dell Stock 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 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 26.71 18.90 26.51 26.57 MIN: 26.2 / MAX: 45.59 MIN: 17.95 / MAX: 24.41 MIN: 26.18 / MAX: 44.39 MIN: 26.2 / MAX: 42.64 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 Dell Stock 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 120K 240K 360K 480K 600K SE +/- 7175.15, N = 4 SE +/- 125.30, N = 3 SE +/- 7210.94, N = 4 SE +/- 9189.98, N = 3 552324 393643 546268 543259
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 Dell Stock 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 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 30.66 21.99 30.70 30.83 MIN: 30.26 / MAX: 48.27 MIN: 21.06 / MAX: 34.73 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 Dell Stock 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 80K 160K 240K 320K 400K SE +/- 2626.69, N = 3 SE +/- 5.21, N = 3 SE +/- 2710.56, N = 3 SE +/- 2883.76, N = 3 372673 266148 370251 369918
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 Dell Stock 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 2 4 6 8 10 SE +/- 0.087, N = 7 SE +/- 0.042, N = 23 SE +/- 0.094, N = 7 SE +/- 0.098, N = 6 7.984 6.064 8.398 8.427 1. Dell Stock: LibreOffice 6.4.6.2 40(Build:2) 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: LibreOffice 7.0.2.2 00(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 Dell Stock 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 20 40 60 80 100 SE +/- 0.93, N = 3 SE +/- 0.10, N = 3 SE +/- 0.94, N = 3 SE +/- 0.91, N = 3 99.82 72.18 99.51 99.30 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 Dell Stock 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 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 0.82, N = 3 SE +/- 0.25, N = 3 SE +/- 0.35, N = 3 84.7 116.1 114.5 113.1
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 Dell Stock 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 5 10 15 20 25 SE +/- 0.22, N = 8 SE +/- 0.03, N = 3 SE +/- 0.21, N = 15 SE +/- 0.14, N = 15 21.58 15.85 21.47 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 Dell Stock 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 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 40.50 29.82 40.48 40.59 MIN: 39.5 / MAX: 56.64 MIN: 28.42 / MAX: 41.97 MIN: 39.96 / MAX: 56.34 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 Dell Stock 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 200 400 600 800 1000 SE +/- 10.80, N = 3 SE +/- 2.07, N = 3 SE +/- 5.54, N = 3 SE +/- 2.45, N = 3 1022.0 757.0 1013.7 1017.3 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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 Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Firefox Dell Stock 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 20 40 60 80 100 SE +/- 0.55, N = 3 SE +/- 0.54, N = 3 SE +/- 0.68, N = 3 SE +/- 0.15, N = 3 68.8 91.4 67.8 68.1 1. Dell Stock: firefox 81.0 2. System76 Galago Pro galp5 - Intel Graphics - i7-1165G7 @ 45W PL1 / 65W PL2: firefox 81.0.2 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: Volumetric Caustic Dell Stock 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 7 14 21 28 35 SE +/- 0.34, N = 3 SE +/- 0.03, N = 3 SE +/- 0.48, N = 3 SE +/- 0.40, N = 3 28.19 21.06 28.29 28.21 -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 Dell Stock 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 2 4 6 8 10 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 7.37 5.51 7.13 7.16 MIN: 6.99 / MAX: 25.1 MIN: 5.26 / MAX: 8.45 MIN: 7 / MAX: 16.24 MIN: 7.03 / MAX: 22.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Dell Stock 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 0.4995 0.999 1.4985 1.998 2.4975 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.22 1.66 2.21 2.21 MIN: 2.1 / MAX: 5.4 MIN: 1.61 / MAX: 4.22 MIN: 2.12 / MAX: 2.5 MIN: 2.11 / MAX: 2.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Dell Stock 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 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 7.86 5.88 7.70 7.72 MIN: 7.5 / MAX: 23.14 MIN: 5.37 / MAX: 11.08 MIN: 7.51 / MAX: 11.33 MIN: 7.53 / MAX: 24.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Dell Stock 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 1.206 2.412 3.618 4.824 6.03 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 5.36 4.03 5.30 5.36 MIN: 5.2 / MAX: 5.61 MIN: 3.89 / MAX: 6.86 MIN: 5.2 / MAX: 7.17 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 Dell Stock 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 4 8 12 16 20 SE +/- 0.16, N = 5 SE +/- 0.01, N = 3 SE +/- 0.13, N = 7 SE +/- 0.13, N = 7 12.16 16.04 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 Dell Stock 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 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 6.73 5.08 6.63 6.70 MIN: 6.44 / MAX: 21.14 MIN: 4.81 / MAX: 7.99 MIN: 6.42 / MAX: 9 MIN: 6.45 / MAX: 22.55 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 Dell Stock 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 0.9786 1.9572 2.9358 3.9144 4.893 SE +/- 0.00845, N = 3 SE +/- 0.03801, N = 3 SE +/- 0.01535, N = 3 SE +/- 0.06368, N = 3 4.25953 3.30486 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 Dell Stock 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 3 6 9 12 15 SE +/- 0.073, N = 3 SE +/- 0.067, N = 3 SE +/- 0.034, N = 3 SE +/- 0.012, N = 3 11.033 8.421 10.949 10.880 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 Dell Stock 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 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 10.54 8.21 10.37 10.26 MIN: 10.08 / MAX: 26.71 MIN: 7.62 / MAX: 21.21 MIN: 10.06 / MAX: 25.98 MIN: 10.11 / MAX: 25.41 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.46, N = 3 SE +/- 0.07, N = 3 SE +/- 0.68, N = 3 SE +/- 0.44, N = 3 94.16 75.87 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 Dell Stock 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 50 100 150 200 250 SE +/- 0.56, N = 3 SE +/- 0.66, N = 3 SE +/- 0.40, N = 3 SE +/- 0.59, N = 3 210.53 169.11 210.50 210.55
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 Dell Stock 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 20 40 60 80 100 SE +/- 0.80, N = 3 SE +/- 0.09, N = 3 SE +/- 0.64, N = 3 SE +/- 0.71, N = 3 68.23 82.84 69.66 69.11 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 Dell Stock 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 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 22.06 18.26 21.65 21.75 MIN: 21.4 / MAX: 41.31 MIN: 17.46 / MAX: 31.25 MIN: 21.46 / MAX: 39.44 MIN: 21.41 / MAX: 38.55 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.39, N = 3 SE +/- 0.75, N = 3 90.18 108.82 91.24 90.88 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 Dell Stock 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 6K 12K 18K 24K 30K SE +/- 177.80, N = 15 SE +/- 33.19, N = 3 SE +/- 237.45, N = 8 SE +/- 214.94, N = 10 22977.07 27387.31 23067.41 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 84.61 100.74 84.36 84.39 MIN: 1 / MAX: 385 MIN: 1 / MAX: 446 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 Dell Stock 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 800 1600 2400 3200 4000 SE +/- 0.48, N = 3 SE +/- 4.31, N = 3 SE +/- 4.08, N = 3 SE +/- 4.11, N = 3 3228.1 3817.1 3259.5 3234.7 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 Dell Stock 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 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.32, N = 3 44.50 37.94 44.28 44.20 MIN: 43.97 / MAX: 60.03 MIN: 36.69 / MAX: 50.2 MIN: 41.9 / MAX: 63.44 MIN: 41.94 / MAX: 63.17 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 Dell Stock 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 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 0.54 0.63 0.54 0.54 MIN: 0.52 / MAX: 0.55 MIN: 0.56 / MAX: 0.64 MAX: 0.55 MIN: 0.51 / 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 Dell Stock 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 5 10 15 20 25 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 19.51 16.82 19.21 19.13 MIN: 17.84 / MAX: 35.5 MIN: 16.18 / MAX: 41.28 MIN: 18.14 / MAX: 36.52 MIN: 17.9 / MAX: 34.2 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 Dell Stock 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 30 60 90 120 150 SE +/- 0.00, N = 12 125.00 142.86 125.00 125.00 MIN: 111.11 / MAX: 142.86 MIN: 100 / MAX: 166.67 MIN: 111.11 / MAX: 142.86 MIN: 83.33 / 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 Dell Stock 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 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 21.1 24.1 21.2 21.2 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 Dell Stock 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 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 6.48 7.26 6.44 6.45
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 Dell Stock 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 20 40 60 80 100 SE +/- 0.51, N = 3 SE +/- 0.30, N = 3 SE +/- 0.89, N = 3 SE +/- 0.65, N = 3 81.04 73.25 81.88 80.96
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Dell Stock 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 14 28 42 56 70 SE +/- 1.01, N = 3 SE +/- 0.14, N = 3 SE +/- 1.37, N = 3 SE +/- 1.27, N = 3 63.51 57.60 63.82 63.48 MIN: 59.62 / MAX: 86.72 MIN: 56.04 / MAX: 69.75 MIN: 59.74 / MAX: 81.58 MIN: 59.74 / MAX: 88.27 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 Dell Stock 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 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 4 SE +/- 0.00, N = 12 6.55 7.19 6.57 6.58 MIN: 6.02 / MAX: 6.67 MIN: 6.49 / MAX: 7.41 MIN: 6.17 / MAX: 6.67 MIN: 6.13 / MAX: 6.67
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Dell Stock 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 2 4 6 8 10 SE +/- 0.01, N = 7 SE +/- 0.00, N = 12 SE +/- 0.02, N = 3 SE +/- 0.01, N = 6 8.19 8.93 8.15 8.19 MIN: 7.75 / MAX: 8.33 MIN: 8.13 / MAX: 9.43 MIN: 8 / MAX: 8.26 MIN: 7.52 / MAX: 8.33
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 Dell Stock 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 4 8 12 16 20 SE +/- 0.27, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.34, N = 3 18.16 16.61 18.13 18.08 MIN: 17.25 / MAX: 34.2 MIN: 15.98 / MAX: 47 MIN: 17.24 / MAX: 33.4 MIN: 17.25 / MAX: 32.64 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 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 200 400 600 800 1000 SE +/- 12.35, N = 3 SE +/- 14.60, N = 4 SE +/- 11.77, N = 3 1146.2 1139.5 1127.9 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 400 800 1200 1600 2000 SE +/- 4.33, N = 3 SE +/- 18.02, N = 3 SE +/- 20.50, N = 3 1851 1843 1866 1. firefox 81.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - 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 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.35, N = 3 SE +/- 0.14, N = 3 42.99 43.23 42.74 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - 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 600 1200 1800 2400 3000 SE +/- 12.55, N = 3 SE +/- 10.49, N = 3 SE +/- 17.27, N = 3 2924 2907 2911 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 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 20 40 60 80 100 SE +/- 0.63, N = 3 SE +/- 0.64, N = 3 SE +/- 0.41, N = 3 106.81 106.29 106.45 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 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 6 12 18 24 30 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 24.79 24.90 24.88 1. chrome 86.0.4240.75
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - 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 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 28.44 28.40 28.50 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 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 90 180 270 360 450 SE +/- 0.48, N = 3 SE +/- 0.78, N = 3 SE +/- 0.22, N = 3 403.21 403.89 402.95 MIN: 401.81 / MAX: 414.16 MIN: 401.67 / MAX: 408.8 MIN: 401.89 / MAX: 406.46 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 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 90 180 270 360 450 SE +/- 0.53, N = 3 SE +/- 0.22, N = 3 SE +/- 0.38, N = 3 407.44 406.74 407.10 MIN: 404.58 / MAX: 452.77 MIN: 404.77 / MAX: 423.79 MIN: 404.5 / MAX: 430.44 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 Dell Stock Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev 90 180 270 360 450 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.35, N = 3 426.34 426.01 426.03 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 Dell Stock 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 20 40 60 80 100 SE +/- 0.37, N = 3 SE +/- 0.39, N = 10 SE +/- 0.96, N = 15 SE +/- 2.75, N = 3 96.49 38.19 31.53 33.51 MIN: 93.95 / MAX: 150.83 MIN: 21.34 / MAX: 60.19 MIN: 22.06 / MAX: 70.71 MIN: 23.06 / MAX: 88.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Dell Stock 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 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.36, N = 10 SE +/- 0.10, N = 15 SE +/- 0.35, N = 3 48.27 9.36 8.50 8.84 MIN: 47.66 / MAX: 48.85 MIN: 7.67 / MAX: 14.27 MIN: 7.73 / MAX: 10.45 MIN: 7.92 / MAX: 10.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Dell Stock 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 1.1318 2.2636 3.3954 4.5272 5.659 SE +/- 0.00, N = 3 SE +/- 0.34, N = 10 SE +/- 0.07, N = 15 SE +/- 0.05, N = 3 5.03 2.63 4.73 4.90 MIN: 4.99 / MAX: 5.58 MIN: 1.39 / MAX: 15.5 MIN: 1.84 / MAX: 19.57 MIN: 3.23 / MAX: 29.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Dell Stock 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 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.26, N = 10 SE +/- 0.21, N = 15 SE +/- 1.03, N = 3 77.04 19.65 20.05 20.78 MIN: 72.08 / MAX: 101.31 MIN: 11.71 / MAX: 65.64 MIN: 14.66 / MAX: 40.93 MIN: 15.88 / MAX: 36.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Dell Stock 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 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.11, N = 10 SE +/- 0.38, N = 15 SE +/- 0.11, N = 3 80.21 12.66 13.71 15.76 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.