Raspberry Pi 4 Processor: ARMv7 Cortex-A72 @ 1.50GHz (4 Cores), Motherboard: BCM2711 Raspberry Pi 4 Model B Rev 1.1, Memory: 2048MB, Disk: 32GB SC32G, Graphics: V3D 4.2 2GB, Monitor: VA2431
OS: Raspbian 10, Kernel: 5.4.51-v7l+ (armv7l), Desktop: LXDE 0.10.0, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 2.1 Mesa 19.3.2, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1Compiler Notes: --build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-gcc-major-version-only --with-target-system-zlib -vProcessor Notes: Scaling Governor: cpufreq-dt ondemandJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Raspbian-1deb10u1)Python Notes: Python 2.7.16 + Python 3.7.3
Core i3 10100 Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Motherboard: Gigabyte B460M DS3H (F2 BIOS)Chipset: Intel Device 9b63Memory: 16GBDisk: 500GB Western Digital WDS500G3X0C-00SJG0Graphics: EFI VGAAudio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411
OS: Debian 10, Kernel: 4.19.0-9-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768
Pentium Gold G6400 Changed Processor to Intel Pentium Gold G6400 @ 4.00GHz (2 Cores / 4 Threads) .
Changed Chipset to Intel Device 9b73 .
Celeron G5900 Changed Processor to Intel Celeron G5900 @ 3.40GHz (2 Cores) .
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xccJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)Python Notes: Python 2.7.16 + Python 3.7.3Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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
HP Hexa-Core 2.0GHz Processor: HP Hexa-Core 2.0GHz @ 2.00GHz (4 Cores)Motherboard: HP 2268 v73.41 (F.46 BIOS)Chipset: AMD 16hMemory: 8GBDisk: 256GB SAMSUNG MZ7PD256 + 1000GB Portable SSD T3Graphics: AMD Radeon R4/R5Audio: AMD Kabini HDMI/DPMonitor: HP LA2306Network: Realtek RTL810xE PCI + Realtek RTL8723BE PCIe
OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, 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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x7030106Java Notes: OpenJDK Runtime Environment (build 1.8.0_275-8u275-b01-0ubuntu1~20.10-b01)Python Notes: 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Raspberry Pi 4 vs. Intel Comet Lake Processor Motherboard Memory Disk Graphics Monitor Chipset Audio Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz ARMv7 Cortex-A72 @ 1.50GHz (4 Cores) BCM2711 Raspberry Pi 4 Model B Rev 1.1 2048MB 32GB SC32G V3D 4.2 2GB VA2431 Raspbian 10 5.4.51-v7l+ (armv7l) LXDE 0.10.0 X Server 1.20.4 modesetting 1.20.4 2.1 Mesa 19.3.2 GCC 8.3.0 ext4 1920x1080 Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads) Gigabyte B460M DS3H (F2 BIOS) Intel Device 9b63 16GB 500GB Western Digital WDS500G3X0C-00SJG0 EFI VGA Realtek ALC887-VD Realtek RTL8111/8168/8411 Debian 10 4.19.0-9-amd64 (x86_64) 1024x768 Intel Pentium Gold G6400 @ 4.00GHz (2 Cores / 4 Threads) Intel Device 9b73 Intel Celeron G5900 @ 3.40GHz (2 Cores) HP Hexa-Core 2.0GHz @ 2.00GHz (4 Cores) HP 2268 v73.41 (F.46 BIOS) AMD 16h 8GB 256GB SAMSUNG MZ7PD256 + 1000GB Portable SSD T3 AMD Radeon R4/R5 AMD Kabini HDMI/DP HP LA2306 Realtek RTL810xE PCI + Realtek RTL8723BE PCIe Ubuntu 20.10 5.8.0-33-generic (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 modesetting 1.20.9 GCC 10.2.0 1920x1080 OpenBenchmarking.org Kernel Details - Raspberry Pi 4: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1 Compiler Details - Raspberry Pi 4: --build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-gcc-major-version-only --with-target-system-zlib -v - Core i3 10100: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Pentium Gold G6400: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Celeron G5900: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - HP Hexa-Core 2.0GHz: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Raspberry Pi 4: Scaling Governor: cpufreq-dt ondemand - Core i3 10100: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc - Pentium Gold G6400: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc - Celeron G5900: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc - HP Hexa-Core 2.0GHz: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x7030106 Java Details - Raspberry Pi 4: OpenJDK Runtime Environment (build 11.0.8+10-post-Raspbian-1deb10u1) - Core i3 10100: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1) - Pentium Gold G6400: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1) - Celeron G5900: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1) - HP Hexa-Core 2.0GHz: OpenJDK Runtime Environment (build 1.8.0_275-8u275-b01-0ubuntu1~20.10-b01) Python Details - Raspberry Pi 4: Python 2.7.16 + Python 3.7.3 - Core i3 10100: Python 2.7.16 + Python 3.7.3 - Pentium Gold G6400: Python 2.7.16 + Python 3.7.3 - Celeron G5900: Python 2.7.16 + Python 3.7.3 - HP Hexa-Core 2.0GHz: Python 3.8.6 Security Details - Core i3 10100: itlb_multihit: KVM: Mitigation of Split huge pages + 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 - Pentium Gold G6400: itlb_multihit: KVM: Mitigation of Split huge pages + 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 - Celeron G5900: itlb_multihit: KVM: Mitigation of Split huge pages + 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 - HP Hexa-Core 2.0GHz: 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz Result Overview Phoronix Test Suite 10.4.0 100% 429% 759% 1088% 1418% XZ Compression Scikit-Learn 7-Zip Compression Timed MPlayer Compilation GraphicsMagick Timed Apache Compilation Timed HMMer Search Timed PHP Compilation PHPBench DaCapo Benchmark Perl Benchmarks LAMMPS Molecular Dynamics Simulator Smallpt PyBench Coremark LibreOffice C-Ray LAME MP3 Encoding libjpeg-turbo tjbench TSCP AOBench SQLite Speedtest Numpy Benchmark FLAC Audio Encoding OpenSSL TTSIOD 3D Renderer PolyBench-C PyPerformance
Raspberry Pi 4 vs. Intel Comet Lake lammps: Rhodopsin Protein dacapobench: H2 dacapobench: Jython dacapobench: Tradebeans tscp: AI Chess Performance graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space ttsiod-renderer: Phong Rendering With Soft-Shadow Mapping coremark: CoreMark Size 666 - Iterations Per Second compress-7zip: Compress Speed Test build-gdb: Time To Compile build-mplayer: Time To Compile build-php: Time To Compile c-ray: Total Time - 4K, 16 Rays Per Pixel smallpt: Global Illumination Renderer; 128 Samples numpy: compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 openssl: RSA 4096-bit Performance aircrack-ng: tjbench: Decompression Throughput sqlite-speedtest: Timed Time - Size 1,000 gegl: Crop gegl: Scale gegl: Cartoon gegl: Reflect gegl: Antialias gegl: Tile Glass gegl: Wavelet Blur gegl: Color Enhance gegl: Rotate 90 Degrees gimp: resize gimp: rotate gimp: auto-levels gimp: unsharp-mask hugin: Panorama Photo Assistant + Stitching Time inkscape: SVG Files To PNG ocrmypdf: Processing 60 Page PDF Document octave-benchmark: rawtherapee: Total Benchmark Time rsvg: SVG Files To PNG pybench: Total For Average Test Times phpbench: PHP Benchmark Suite scikit-learn: tesseract-ocr: Time To OCR 7 Images polybench-c: Covariance Computation polybench-c: Correlation Computation polybench-c: 3 Matrix Multiplications hmmer: Pfam Database Search mafft: Multiple Sequence Alignment aobench: 2048 x 2048 - Total Time encode-flac: WAV To FLAC encode-mp3: WAV To MP3 perl-benchmark: Pod2html perl-benchmark: Interpreter libreoffice: 20 Documents To PDF pyperformance: 2to3 pyperformance: float pyperformance: pathlib pyperformance: json_loads pyperformance: regex_compile pyperformance: python_startup build-apache: Time To Compile gimp: resize gimp: rotate gimp: auto-levels gimp: unsharp-mask Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 0.499 14385 34367 21087 350771 34 85 15 16 48 16 83 25.4479 33030.557108 3466 970.537 543.837 638.584 680.080 130.180 26.54 416.907 97.6 1162.347 49.657148 766.550 50.874 36.875 647.548 14.988 214.859 161.312 326.606 341.548 246.618 4.576 4.389 4.291 4.345 471.413 137.212 376.428 100.389 748.022 77.222 5235 102546 79.112 136.504 31.015 31.021 24.910 53.889 22.514 123.692 109.371 41.587 0.61497660 0.00714413 5.751 1.79 629 142 144 962 42.5 180.753 3.219 3146 4151 1376258 187 1134 60 92 437 117 933 262.097 179882.442386 27500 118.874 69.218 88.578 157.068 22.802 375.55 42.488 1253.2 15519.073 205.777836 54.246 8.527 5.478 105.900 31.140 40.701 30.744 62.372 59.441 41.734 8.728 17.599 20.780 24.968 68.367 24.347 44.347 6.167 104.108 13.551 945 729845 27.067 25.010 3.338 7.438 3.855 32.747 8.420 8.122 0.10872912 0.00108894 7.510 304 95.7 17.9 23.6 167 7.49 24.444 1.657 3375 5482 4135 1268492 94 1057 30 45 246 55 519 132.556 88892.097427 15033 178.803 128.701 143.935 322.191 46.453 336.12 69.307 389.3 2812.615 172.928584 65.150 9.509 6.236 117.134 33.538 47.341 33.043 68.478 64.276 47.592 10.648 18.878 23.198 26.371 96.509 25.719 89.362 6.605 147.977 13.878 1020 668540 29.554 30.871 3.832 12.846 6.593 35.179 9.456 8.667 0.11884498 0.00075872 8.064 328 104 19.5 25.5 180 7.96 37.116 1.381 3616 6084 1078690 65 873 25 37 197 39 419 76.4398 53412.281982 7920 274.528 198.335 220.076 400.348 74.585 282.42 123.883 315.0 2346.783 147.209265 82.015 10.893 7.229 137.544 39.431 56.741 38.373 79.504 75.070 56.293 13.147 22.125 27.685 31.529 140.394 30.616 121.326 7.633 213.383 16.452 1199 568837 34.693 54.798 2.168 2.170 4.446 19.579 9.417 41.546 11.108 10.181 0.14005805 0.00101531 9.739 397 123 23.6 30.1 212 9.8 54.742 0.722 12942 16519 13956 458067 38 211 13 13 58 22 122 47.5170 35455.768206 4834 499.087 574.834 813.199 128.495 64.81 223.845 157.4 60.751697 308.618 3716 185506 258.422 21.547 21.610 33.416 29.294 121.644 33.572 26.191 0.53398539 0.00382222 30.131 1.42 430 111 119 708 29.7 150.304 42.281 44.195 51.075 60.594 OpenBenchmarking.org
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Model: Rhodopsin Protein Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 0.7243 1.4486 2.1729 2.8972 3.6215 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 0.499 3.219 1.657 1.381 0.722 -fopenmp -fopenmp -fopenmp -fopenmp 1. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm Perf Per Core
OpenBenchmarking.org ns/day Per Core, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Performance Per Core - Model: Rhodopsin Protein Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 0.1864 0.3728 0.5592 0.7456 0.932 0.1248 0.8048 0.8285 0.6905 0.1805 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org ns/day Per Thread, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Performance Per Thread - Model: Rhodopsin Protein Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 0.1554 0.3108 0.4662 0.6216 0.777 0.1248 0.4024 0.4143 0.6905 0.1805 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org ns/day Per GHz, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Performance Per Clock - Model: Rhodopsin Protein Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 0.1684 0.3368 0.5052 0.6736 0.842 0.3327 0.7486 0.4143 0.4062 0.3610 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Model: Rhodopsin Protein Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 2 4 6 8 10 Min: 0.5 / Avg: 0.5 / Max: 0.5 Min: 3.2 / Avg: 3.22 / Max: 3.23 Min: 1.65 / Avg: 1.66 / Max: 1.67 Min: 1.38 / Avg: 1.38 / Max: 1.39 Min: 0.72 / Avg: 0.72 / Max: 0.73 1. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 3K 6K 9K 12K 15K SE +/- 124.43, N = 20 SE +/- 45.90, N = 16 SE +/- 73.27, N = 20 SE +/- 49.34, N = 4 SE +/- 95.18, N = 4 14385 3146 3375 3616 12942 Perf Per Core
OpenBenchmarking.org msec x Core, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Core - Java Test: H2 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 12K 24K 36K 48K 60K 57540 12584 6750 7232 51768 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org msec x Thread, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Thread - Java Test: H2 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 12K 24K 36K 48K 60K 57540 25168 13500 7232 51768 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org msec x GHz, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Clock - Java Test: H2 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 6K 12K 18K 24K 30K 21577.5 13527.8 13500.0 12294.4 25884.0 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 2K 4K 6K 8K 10K Min: 13494 / Avg: 14385.2 / Max: 15757 Min: 2807 / Avg: 3145.69 / Max: 3431 Min: 2572 / Avg: 3374.95 / Max: 3907 Min: 3533 / Avg: 3616 / Max: 3756 Min: 12694 / Avg: 12942.25 / Max: 13144
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 7K 14K 21K 28K 35K SE +/- 338.03, N = 4 SE +/- 28.94, N = 4 SE +/- 74.01, N = 20 SE +/- 53.74, N = 4 SE +/- 203.52, N = 4 34367 4151 5482 6084 16519 Perf Per Core
OpenBenchmarking.org msec x Core, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Core - Java Test: Jython Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30K 60K 90K 120K 150K 137468 16604 10964 12168 66076 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org msec x Thread, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Thread - Java Test: Jython Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30K 60K 90K 120K 150K 137468 33208 21928 12168 66076 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org msec x GHz, Fewer Is Better DaCapo Benchmark 9.12-MR1 Performance Per Clock - Java Test: Jython Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 11K 22K 33K 44K 55K 51550.5 17849.3 21928.0 20685.6 33038.0 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 6K 12K 18K 24K 30K Min: 33672 / Avg: 34367.25 / Max: 35247 Min: 4096 / Avg: 4150.75 / Max: 4231 Min: 4857 / Avg: 5481.95 / Max: 6079 Min: 5957 / Avg: 6084 / Max: 6205 Min: 16231 / Avg: 16519 / Max: 17113
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 300K 600K 900K 1200K 1500K SE +/- 362.49, N = 5 SE +/- 686.80, N = 5 SE +/- 1093.69, N = 5 SE +/- 843.80, N = 5 SE +/- 461.04, N = 5 350771 1376258 1268492 1078690 458067 1. (CC) gcc options: -O3 -march=native Perf Per Core
OpenBenchmarking.org Nodes Per Second Per Core, More Is Better TSCP 1.81 Performance Per Core - AI Chess Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 140K 280K 420K 560K 700K 87692.75 344064.50 634246.00 539345.00 114516.75 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Nodes Per Second Per Thread, More Is Better TSCP 1.81 Performance Per Thread - AI Chess Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 120K 240K 360K 480K 600K 87692.75 172032.25 317123.00 539345.00 114516.75 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Nodes Per Second Per GHz, More Is Better TSCP 1.81 Performance Per Clock - AI Chess Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 70K 140K 210K 280K 350K 233847.33 320060.00 317123.00 317261.76 229033.50 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200K 400K 600K 800K 1000K Min: 349478 / Avg: 350770.6 / Max: 351710 Min: 1373511 / Avg: 1376258.2 / Max: 1376945 Min: 1266156 / Avg: 1268492.4 / Max: 1272004 Min: 1075738 / Avg: 1078689.8 / Max: 1079956 Min: 457077 / Avg: 458066.8 / Max: 459747 1. (CC) gcc options: -O3 -march=native
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 60 120 180 240 300 SE +/- 0.10, N = 3 SE +/- 0.40, N = 3 SE +/- 0.66, N = 3 SE +/- 0.12, N = 3 SE +/- 0.00, N = 3 25.45 262.10 132.56 76.44 47.52 -msse -mrecip -mfpmath=sse -msse2 -mssse3 -msse -mrecip -mfpmath=sse -msse2 -mssse3 -msse -mrecip -mfpmath=sse -msse2 -mssse3 -msse -mrecip -mfpmath=sse -msse2 -mssse3 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++ Perf Per Core
OpenBenchmarking.org FPS Per Core, More Is Better TTSIOD 3D Renderer 2.3b Performance Per Core - Phong Rendering With Soft-Shadow Mapping Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 15 30 45 60 75 6.36 65.52 66.28 38.22 11.88 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org FPS Per Thread, More Is Better TTSIOD 3D Renderer 2.3b Performance Per Thread - Phong Rendering With Soft-Shadow Mapping Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 9 18 27 36 45 6.36 32.76 33.14 38.22 11.88 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org FPS Per GHz, More Is Better TTSIOD 3D Renderer 2.3b Performance Per Clock - Phong Rendering With Soft-Shadow Mapping Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 14 28 42 56 70 16.97 60.95 33.14 22.48 23.76 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 50 100 150 200 250 Min: 25.25 / Avg: 25.45 / Max: 25.59 Min: 261.58 / Avg: 262.1 / Max: 262.87 Min: 131.3 / Avg: 132.56 / Max: 133.53 Min: 76.25 / Avg: 76.44 / Max: 76.66 Min: 47.51 / Avg: 47.52 / Max: 47.52 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 40K 80K 120K 160K 200K SE +/- 7.97, N = 3 SE +/- 1165.70, N = 3 SE +/- 969.55, N = 3 SE +/- 21.42, N = 3 SE +/- 15.77, N = 3 33030.56 179882.44 88892.10 53412.28 35455.77 1. (CC) gcc options: -O2 -lrt" -lrt Perf Per Core
OpenBenchmarking.org Iterations/Sec Per Core, More Is Better Coremark 1.0 Performance Per Core - CoreMark Size 666 - Iterations Per Second Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 10K 20K 30K 40K 50K 8257.64 44970.61 44446.05 26706.14 8863.94 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Iterations/Sec Per Thread, More Is Better Coremark 1.0 Performance Per Thread - CoreMark Size 666 - Iterations Per Second Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 6K 12K 18K 24K 30K 8257.64 22485.31 22223.02 26706.14 8863.94 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Iterations/Sec Per GHz, More Is Better Coremark 1.0 Performance Per Clock - CoreMark Size 666 - Iterations Per Second Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 9K 18K 27K 36K 45K 22020.37 41833.13 22223.02 15709.49 17727.88 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30K 60K 90K 120K 150K Min: 33015.68 / Avg: 33030.56 / Max: 33042.96 Min: 177922.75 / Avg: 179882.44 / Max: 181956.03 Min: 87022.73 / Avg: 88892.1 / Max: 90273.08 Min: 53370.69 / Avg: 53412.28 / Max: 53442 Min: 35424.88 / Avg: 35455.77 / Max: 35476.72 1. (CC) gcc options: -O2 -lrt" -lrt
7-Zip Compression This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 6K 12K 18K 24K 30K SE +/- 2.60, N = 3 SE +/- 193.55, N = 3 SE +/- 17.03, N = 3 SE +/- 25.67, N = 3 SE +/- 3.71, N = 3 3466 27500 15033 7920 4834 1. (CXX) g++ options: -pipe -lpthread Perf Per Core
OpenBenchmarking.org MIPS Per Core, More Is Better 7-Zip Compression 16.02 Performance Per Core - Compress Speed Test Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 1600 3200 4800 6400 8000 866.5 6875.0 7516.5 3960.0 1208.5 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org MIPS Per Thread, More Is Better 7-Zip Compression 16.02 Performance Per Thread - Compress Speed Test Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 800 1600 2400 3200 4000 866.50 3437.50 3758.25 3960.00 1208.50 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org MIPS Per GHz, More Is Better 7-Zip Compression 16.02 Performance Per Clock - Compress Speed Test Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 1400 2800 4200 5600 7000 2310.67 6395.35 3758.25 2329.41 2417.00 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 5K 10K 15K 20K 25K Min: 3462 / Avg: 3466.33 / Max: 3471 Min: 27125 / Avg: 27500.33 / Max: 27770 Min: 14999 / Avg: 15032.67 / Max: 15054 Min: 7869 / Avg: 7920.33 / Max: 7947 Min: 4829 / Avg: 4833.67 / Max: 4841 1. (CXX) g++ options: -pipe -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
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 120 240 360 480 600 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 543.84 69.22 128.70 198.34 499.09 Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better Timed MPlayer Compilation 1.4 Performance Per Core - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 500 1000 1500 2000 2500 2175.35 276.87 257.40 396.67 1996.35 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better Timed MPlayer Compilation 1.4 Performance Per Thread - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 500 1000 1500 2000 2500 2175.35 553.74 514.80 396.67 1996.35 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better Timed MPlayer Compilation 1.4 Performance Per Clock - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200 400 600 800 1000 815.76 297.64 514.80 674.34 998.17 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 100 200 300 400 500 Min: 543.74 / Avg: 543.84 / Max: 544.01 Min: 69.19 / Avg: 69.22 / Max: 69.26 Min: 128.67 / Avg: 128.7 / Max: 128.75 Min: 198.23 / Avg: 198.34 / Max: 198.44 Min: 498.77 / Avg: 499.09 / Max: 499.26
Timed PHP Compilation This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 140 280 420 560 700 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 SE +/- 0.20, N = 3 636.52 88.58 143.94 220.08 574.83 Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better Timed PHP Compilation 7.4.2 Performance Per Core - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 500 1000 1500 2000 2500 2554.34 354.31 287.87 440.15 2299.34 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better Timed PHP Compilation 7.4.2 Performance Per Thread - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 500 1000 1500 2000 2500 2554.34 708.62 575.74 440.15 2299.34 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better Timed PHP Compilation 7.4.2 Performance Per Clock - Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200 400 600 800 1000 957.88 380.89 575.74 748.26 1149.67 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 110 220 330 440 550 Min: 636.15 / Avg: 636.52 / Max: 636.89 Min: 88.38 / Avg: 88.58 / Max: 88.77 Min: 143.82 / Avg: 143.94 / Max: 144.06 Min: 219.42 / Avg: 220.08 / Max: 220.5 Min: 574.5 / Avg: 574.83 / Max: 575.2
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200 400 600 800 1000 SE +/- 9.85, N = 9 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 680.08 157.07 322.19 400.35 813.20 1. (CC) gcc options: -lm -lpthread -O3 Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better C-Ray 1.1 Performance Per Core - Total Time - 4K, 16 Rays Per Pixel Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 700 1400 2100 2800 3500 2720.32 628.27 644.38 800.70 3252.80 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better C-Ray 1.1 Performance Per Thread - Total Time - 4K, 16 Rays Per Pixel Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 700 1400 2100 2800 3500 2720.32 1256.54 1288.76 800.70 3252.80 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better C-Ray 1.1 Performance Per Clock - Total Time - 4K, 16 Rays Per Pixel Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 300 600 900 1200 1500 1020.12 675.39 1288.76 1361.18 1626.40 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 140 280 420 560 700 Min: 648.18 / Avg: 680.08 / Max: 723.98 Min: 157.05 / Avg: 157.07 / Max: 157.09 Min: 322.11 / Avg: 322.19 / Max: 322.32 Min: 400.31 / Avg: 400.35 / Max: 400.37 Min: 813.05 / Avg: 813.2 / Max: 813.34 1. (CC) gcc options: -lm -lpthread -O3
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30 60 90 120 150 SE +/- 1.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 130.18 22.80 46.45 74.59 128.50 1. (CXX) g++ options: -fopenmp -O3 Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better Smallpt 1.0 Performance Per Core - Global Illumination Renderer; 128 Samples Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 110 220 330 440 550 520.72 91.21 92.91 149.17 513.98 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better Smallpt 1.0 Performance Per Thread - Global Illumination Renderer; 128 Samples Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 110 220 330 440 550 520.72 182.42 185.81 149.17 513.98 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better Smallpt 1.0 Performance Per Clock - Global Illumination Renderer; 128 Samples Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 60 120 180 240 300 195.27 98.05 185.81 253.59 256.99 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 20 40 60 80 100 Min: 129.11 / Avg: 130.18 / Max: 132.32 Min: 22.79 / Avg: 22.8 / Max: 22.83 Min: 46.41 / Avg: 46.45 / Max: 46.51 Min: 74.55 / Avg: 74.59 / Max: 74.62 Min: 128.38 / Avg: 128.5 / Max: 128.71 1. (CXX) g++ options: -fopenmp -O3
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 80 160 240 320 400 SE +/- 0.02, N = 3 SE +/- 0.43, N = 3 SE +/- 0.12, N = 3 SE +/- 0.59, N = 3 SE +/- 0.13, N = 3 26.54 375.55 336.12 282.42 64.81 Perf Per Core
OpenBenchmarking.org Score Per Core, More Is Better Numpy Benchmark Performance Per Core Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 40 80 120 160 200 6.64 93.89 168.06 141.21 16.20 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Score Per Thread, More Is Better Numpy Benchmark Performance Per Thread Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30 60 90 120 150 6.64 46.94 84.03 141.21 16.20 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Score Per GHz, More Is Better Numpy Benchmark Performance Per Clock Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 20 40 60 80 100 17.69 87.34 84.03 83.06 32.41 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 70 140 210 280 350 Min: 26.51 / Avg: 26.54 / Max: 26.58 Min: 374.75 / Avg: 375.55 / Max: 376.21 Min: 335.9 / Avg: 336.12 / Max: 336.31 Min: 281.42 / Avg: 282.42 / Max: 283.47 Min: 64.57 / Avg: 64.81 / Max: 65
XZ Compression This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 90 180 270 360 450 SE +/- 0.92, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.54, N = 3 405.92 42.49 69.31 123.88 223.85 1. (CC) gcc options: -pthread -fvisibility=hidden -O2 Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better XZ Compression 5.2.4 Performance Per Core - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 400 800 1200 1600 2000 1667.63 169.95 138.61 247.77 895.38 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better XZ Compression 5.2.4 Performance Per Thread - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 400 800 1200 1600 2000 1667.63 339.90 277.23 247.77 895.38 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better XZ Compression 5.2.4 Performance Per Clock - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 140 280 420 560 700 625.36 182.70 277.23 421.20 447.69 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 70 140 210 280 350 Min: 404.69 / Avg: 405.91 / Max: 407.71 Min: 42.36 / Avg: 42.49 / Max: 42.59 Min: 69.13 / Avg: 69.31 / Max: 69.64 Min: 123.8 / Avg: 123.88 / Max: 123.99 Min: 222.77 / Avg: 223.85 / Max: 224.45 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 300 600 900 1200 1500 SE +/- 0.03, N = 3 SE +/- 2.27, N = 3 SE +/- 0.13, N = 3 SE +/- 1.05, N = 3 SE +/- 0.10, N = 3 97.6 1253.2 389.3 315.0 157.4 -m64 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl Perf Per Core
OpenBenchmarking.org Signs Per Second Per Core, More Is Better OpenSSL 1.1.1 Performance Per Core - RSA 4096-bit Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 70 140 210 280 350 24.40 313.30 194.65 157.50 39.35 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Signs Per Second Per Thread, More Is Better OpenSSL 1.1.1 Performance Per Thread - RSA 4096-bit Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 30 60 90 120 150 24.40 156.65 97.33 157.50 39.35 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Signs Per Second Per GHz, More Is Better OpenSSL 1.1.1 Performance Per Clock - RSA 4096-bit Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 60 120 180 240 300 65.07 291.44 97.33 92.65 78.70 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200 400 600 800 1000 Min: 97.5 / Avg: 97.57 / Max: 97.6 Min: 1248.7 / Avg: 1253.2 / Max: 1256 Min: 389.2 / Avg: 389.33 / Max: 389.6 Min: 313.7 / Avg: 315.03 / Max: 317.1 Min: 157.3 / Avg: 157.4 / Max: 157.6 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 50 100 150 200 250 SE +/- 0.11, N = 3 SE +/- 0.45, N = 3 SE +/- 0.53, N = 3 SE +/- 0.89, N = 3 SE +/- 0.08, N = 3 49.66 205.78 172.93 147.21 60.75 -lm -lm 1. (CC) gcc options: -O3 -rdynamic Perf Per Core
OpenBenchmarking.org Megapixels/sec Per Core, More Is Better libjpeg-turbo tjbench 2.0.2 Performance Per Core - Test: Decompression Throughput Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 20 40 60 80 100 12.41 51.44 86.46 73.60 15.19 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Megapixels/sec Per Thread, More Is Better libjpeg-turbo tjbench 2.0.2 Performance Per Thread - Test: Decompression Throughput Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 16 32 48 64 80 12.41 25.72 43.23 73.60 15.19 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Megapixels/sec Per GHz, More Is Better libjpeg-turbo tjbench 2.0.2 Performance Per Clock - Test: Decompression Throughput Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 11 22 33 44 55 33.10 47.86 43.23 43.30 30.38 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 40 80 120 160 200 Min: 49.44 / Avg: 49.66 / Max: 49.82 Min: 204.88 / Avg: 205.78 / Max: 206.24 Min: 172.03 / Avg: 172.93 / Max: 173.86 Min: 145.43 / Avg: 147.21 / Max: 148.24 Min: 60.59 / Avg: 60.75 / Max: 60.83 1. (CC) gcc options: -O3 -rdynamic
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
Result
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 170 340 510 680 850 SE +/- 2.25, N = 3 SE +/- 0.18, N = 3 SE +/- 0.85, N = 3 SE +/- 0.02, N = 3 SE +/- 2.07, N = 3 766.55 54.25 65.15 82.02 308.62 1. (CC) gcc options: -O2 -ldl -lz -lpthread Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better SQLite Speedtest 3.30 Performance Per Core - Timed Time - Size 1,000 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 700 1400 2100 2800 3500 3066.20 216.98 130.30 164.03 1234.47 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 5. HP Hexa-Core 2.0GHz: Detected core count of 4 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better SQLite Speedtest 3.30 Performance Per Thread - Timed Time - Size 1,000 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 700 1400 2100 2800 3500 3066.20 433.97 260.60 164.03 1234.47 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 5. HP Hexa-Core 2.0GHz: Detected thread count of 4 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better SQLite Speedtest 3.30 Performance Per Clock - Timed Time - Size 1,000 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 200 400 600 800 1000 1149.83 233.26 260.60 278.85 617.24 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 5. HP Hexa-Core 2.0GHz: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 HP Hexa-Core 2.0GHz 130 260 390 520 650 Min: 762.08 / Avg: 766.55 / Max: 769.18 Min: 53.94 / Avg: 54.25 / Max: 54.56 Min: 64.17 / Avg: 65.15 / Max: 66.84 Min: 81.97 / Avg: 82.02 / Max: 82.05 Min: 305.93 / Avg: 308.62 / Max: 312.69 1. (CC) gcc options: -O2 -ldl -lz -lpthread
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
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page
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
Result
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 30 60 90 120 150 SE +/- 0.66, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 137.21 24.35 25.72 30.62 1. Inkscape 0.92.4 (5da689c313, 2019-01-14) Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better Inkscape Performance Per Core - Operation: SVG Files To PNG Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 120 240 360 480 600 548.85 97.39 51.44 61.23 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better Inkscape Performance Per Thread - Operation: SVG Files To PNG Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 120 240 360 480 600 548.85 194.78 102.88 61.23 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Celeron G5900: Detected thread count of 2 Perf Per Clock
OpenBenchmarking.org Seconds x GHz, Fewer Is Better Inkscape Performance Per Clock - Operation: SVG Files To PNG Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 50 100 150 200 250 205.82 104.69 102.88 104.09 1. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 30 60 90 120 150 Min: 136.47 / Avg: 137.21 / Max: 138.53 Min: 24.33 / Avg: 24.35 / Max: 24.36 Min: 25.68 / Avg: 25.72 / Max: 25.78 Min: 30.58 / Avg: 30.62 / Max: 30.69 1. Inkscape 0.92.4 (5da689c313, 2019-01-14)
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 160 320 480 640 800 SE +/- 1.42, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.09, N = 3 748.02 104.11 147.98 213.38 1. RawTherapee, version 5.5, command line.
An advanced, cross-platform program for developing raw photos.
Website: http://www.rawtherapee.com/
Documentation: http://rawpedia.rawtherapee.com/
Forum: https://discuss.pixls.us/c/software/rawtherapee
Code and bug reports: https://github.com/Beep6581/RawTherapee
Symbols:
<Chevrons> indicate parameters you can change.
[Square brackets] mean the parameter is optional.
The pipe symbol | indicates a choice of one or the other.
The dash symbol - denotes a range of possible values from one to the other.
Usage:
rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters.
rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings.
Options:
rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input>
-c <files> Specify one or more input files or folders.
When specifying folders, Rawtherapee will look for image file types which comply
with the selected extensions (see also '-a').
-c must be the last option.
-o <file>|<dir> Set output file or folder.
Saves output file alongside input file if -o is not specified.
-O <file>|<dir> Set output file or folder and copy pp3 file into it.
Saves output file alongside input file if -O is not specified.
-q Quick-start mode. Does not load cached files to speedup start time.
-a Process all supported image file types when specifying a folder, even those
not currently selected in Preferences > File Browser > Parsed Extensions.
-s Use the existing sidecar file to build the processing parameters,
e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder.
If the sidecar file does not exist, neutral values will be used.
-S Like -s but skip if the sidecar file does not exist.
-p <file.pp3> Specify processing profile to be used for all conversions.
You can specify as many sets of "-p <file.pp3>" options as you like,
each will be built on top of the previous one, as explained below.
-d Use the default raw or non-raw processing profile as set in
Preferences > Image Processing > Default Processing Profile
-j[1-100] Specify output to be JPEG (default, if -t and -n are not set).
Optionally, specify compression 1-100 (default value: 92).
-js<1-3> Specify the JPEG chroma subsampling parameter, where:
1 = Best compression: 2x2, 1x1, 1x1 (4:2:0)
Chroma halved vertically and horizontally.
2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2)
Chroma halved horizontally.
3 = Best quality: 1x1, 1x1, 1x1 (4:4:4)
No chroma subsampling.
-b<8|16|16f|32> Specify bit depth per channel.
8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG.
16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF.
16f = 16-bit float. Applies to TIFF.
32 = 32-bit float. Applies to TIFF.
-t[z] Specify output to be TIFF.
Uncompressed by default, or deflate compression with 'z'.
-n Specify output to be compressed PNG.
Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE.
-Y Overwrite output if present.
-f Use the custom fast-export processing pipeline.
Your pp3 files can be incomplete, RawTherapee will build the final values as follows:
1- A new processing profile is created using neutral values,
2- If the "-d" option is set, the values are overridden by those found in
the default raw or non-raw processing profile.
3- If one or more "-p" options are set, the values are overridden by those
found in these processing profiles.
4- If the "-s" or "-S" options are set, the values are finally overridden by those
found in the sidecar files.
The processing profiles are processed in the order specified on the command line. Perf Per Core
OpenBenchmarking.org Seconds x Core, Fewer Is Better RawTherapee Performance Per Core - Total Benchmark Time Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 600 1200 1800 2400 3000 2992.09 416.43 295.95 426.77 1. Raspberry Pi 4: Detected core count of 4 2. Core i3 10100: Detected core count of 4 3. Pentium Gold G6400: Detected core count of 2 4. Celeron G5900: Detected core count of 2 Perf Per Thread
OpenBenchmarking.org Seconds x Thread, Fewer Is Better RawTherapee Performance Per Thread - Total Benchmark Time Raspberry Pi 4 Core i3 10100 Pentium Gold G6400 Celeron G5900 600 1200 1800 2400 3000 2992.09 832.86 591.91 426.77 1. Raspberry Pi 4: Detected thread count of 4 2. Core i3 10100: Detected thread count of 8 3. Pentium Gold G6400: Detected thread count of 4 4. Ce