tr 3970x eo june AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1201 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2106285-PTS-TR3970XE29&grs&sro .
tr 3970x eo june Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution 1 2 3 AMD Ryzen Threadripper 3970X 32-Core @ 4.55GHz (32 Cores / 64 Threads) ASUS ROG ZENITH II EXTREME (1201 BIOS) AMD Starship/Matisse 64GB Samsung SSD 980 PRO 500GB AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio ASUS VP28U Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.10 5.11.0-rc6-phx (x86_64) 20210203 GNOME Shell 3.38.1 X Server 1.20.9 4.6 Mesa 20.2.1 (LLVM 11.0.0) 1.2.131 GCC 10.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301039 Graphics Details - GLAMOR 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
tr 3970x eo june mnn: squeezenetv1.1 ncnn: CPU - googlenet mnn: mobilenetV3 ncnn: CPU - mnasnet mnn: SqueezeNetV1.0 ncnn: CPU - alexnet ncnn: CPU - efficientnet-b0 ncnn: CPU - resnet18 ncnn: CPU - regnety_400m gravitymark: 1920 x 1080 - OpenGL ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - vgg16 mnn: resnet-v2-50 gravitymark: 2560 x 1440 - OpenGL ncnn: CPU - squeezenet_ssd tnn: CPU - SqueezeNet v1.1 blosc: blosclz tnn: CPU - SqueezeNet v2 ncnn: CPU - blazeface ncnn: CPU - mobilenet gravitymark: 3840 x 2160 - OpenGL ncnn: CPU - shufflenet-v2 mnn: inception-v3 ncnn: CPU-v2-v2 - mobilenet-v2 mnn: mobilenet-v1-1.0 ncnn: CPU - resnet50 gravitymark: 3840 x 2160 - Vulkan tnn: CPU - MobileNet v2 gravitymark: 2560 x 1440 - Vulkan ncnn: CPU - yolov4-tiny tnn: CPU - DenseNet mnn: MobileNetV2_224 gravitymark: 1920 x 1080 - Vulkan unvanquished: 3840 x 2160 - Medium unvanquished: 2560 x 1440 - Medium unvanquished: 1920 x 1200 - Medium unvanquished: 1920 x 1080 - Medium unvanquished: 3840 x 2160 - Ultra unvanquished: 2560 x 1440 - Ultra unvanquished: 1920 x 1200 - Ultra unvanquished: 1920 x 1080 - Ultra unvanquished: 3840 x 2160 - High unvanquished: 2560 x 1440 - High unvanquished: 1920 x 1200 - High unvanquished: 1920 x 1080 - High 1 2 3 4.449 17.76 2.518 7.02 6.011 9.65 10.12 14.47 21.13 80.0 7.30 33.73 20.399 69.1 19.99 233.879 24266.0 63.136 3.58 17.55 50.4 7.87 23.876 7.63 2.843 23.23 56.2 268.498 77.0 26.03 2657.479 4.124 87.9 206.6 205.7 216.8 194.2 196.5 204.2 199.3 209.4 206.1 199.5 191.1 205.7 4.272 16.68 2.444 7.14 5.811 9.28 9.75 13.96 20.79 82.8 7.06 33.9 20.328 67.7 19.63 229.474 24488.5 62.605 3.62 17.32 51 7.8 23.712 7.6 2.817 23.09 56.6 269.213 77.3 25.92 2657.589 4.119 87.8 170.3 192.9 184.7 186.8 229.5 200.5 206.2 226.4 234 199.5 198.6 174.8 4.571 16.75 2.59 6.75 6.106 9.41 9.91 14.4 20.4 82 7.1 34.81 20.917 69.6 20.11 234.328 23982.1 61.911 3.55 17.22 50.3 7.77 23.971 7.68 2.843 23.06 56.5 267.681 76.9 25.91 2651.012 4.126 87.9 201.9 175.7 224.9 186 168.8 220 213.3 182.7 174.2 184.9 174 210.4 OpenBenchmarking.org
Mobile Neural Network Model: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: squeezenetv1.1 1 2 3 1.0285 2.057 3.0855 4.114 5.1425 SE +/- 0.116, N = 3 4.449 4.272 4.571 MIN: 4.18 / MAX: 4.73 MIN: 4.22 / MAX: 4.44 MIN: 4.51 / MAX: 4.84 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: googlenet 1 2 3 4 8 12 16 20 SE +/- 0.08, N = 3 17.76 16.68 16.75 MIN: 16.75 / MAX: 26.73 MIN: 16.35 / MAX: 18 MIN: 16.36 / MAX: 18.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenetV3 1 2 3 0.5828 1.1656 1.7484 2.3312 2.914 SE +/- 0.013, N = 3 2.518 2.444 2.590 MIN: 2.44 / MAX: 2.71 MIN: 2.41 / MAX: 2.61 MIN: 2.52 / MAX: 3.24 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: mnasnet 1 2 3 2 4 6 8 10 SE +/- 0.04, N = 3 7.02 7.14 6.75 MIN: 6.7 / MAX: 9.47 MIN: 6.62 / MAX: 8.3 MIN: 6.51 / MAX: 7.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: SqueezeNetV1.0 1 2 3 2 4 6 8 10 SE +/- 0.083, N = 3 6.011 5.811 6.106 MIN: 5.8 / MAX: 6.42 MIN: 5.74 / MAX: 6.33 MIN: 6.04 / MAX: 6.65 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: alexnet 1 2 3 3 6 9 12 15 SE +/- 0.24, N = 3 9.65 9.28 9.41 MIN: 8.85 / MAX: 12.41 MIN: 8.86 / MAX: 11.09 MIN: 8.93 / MAX: 11.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: efficientnet-b0 1 2 3 3 6 9 12 15 SE +/- 0.11, N = 3 10.12 9.75 9.91 MIN: 9.6 / MAX: 19.22 MIN: 9.44 / MAX: 10.88 MIN: 9.59 / MAX: 11.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: resnet18 1 2 3 4 8 12 16 20 SE +/- 0.08, N = 3 14.47 13.96 14.40 MIN: 13.7 / MAX: 22.69 MIN: 13.25 / MAX: 15.98 MIN: 13.52 / MAX: 73.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: regnety_400m 1 2 3 5 10 15 20 25 SE +/- 0.17, N = 3 21.13 20.79 20.40 MIN: 20.22 / MAX: 23.98 MIN: 20.13 / MAX: 23.47 MIN: 19.75 / MAX: 23.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
GravityMark Resolution: 1920 x 1080 - Renderer: OpenGL OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: OpenGL 1 2 3 20 40 60 80 100 SE +/- 1.32, N = 3 80.0 82.8 82.0
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 1 2 3 2 4 6 8 10 SE +/- 0.22, N = 3 7.30 7.06 7.10 MIN: 6.81 / MAX: 110.43 MIN: 6.8 / MAX: 8.54 MIN: 6.84 / MAX: 8.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: vgg16 1 2 3 8 16 24 32 40 SE +/- 0.19, N = 3 33.73 33.90 34.81 MIN: 33.02 / MAX: 44.88 MIN: 33.16 / MAX: 57.25 MIN: 33.66 / MAX: 43.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: resnet-v2-50 1 2 3 5 10 15 20 25 SE +/- 0.19, N = 3 20.40 20.33 20.92 MIN: 19.85 / MAX: 21.42 MIN: 20.04 / MAX: 20.94 MIN: 20.68 / MAX: 22.5 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
GravityMark Resolution: 2560 x 1440 - Renderer: OpenGL OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 2560 x 1440 - Renderer: OpenGL 1 2 3 15 30 45 60 75 SE +/- 0.69, N = 3 69.1 67.7 69.6
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: squeezenet_ssd 1 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 19.99 19.63 20.11 MIN: 19.11 / MAX: 28.91 MIN: 18.9 / MAX: 21.5 MIN: 18.97 / MAX: 109.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 1 2 3 50 100 150 200 250 SE +/- 0.14, N = 3 233.88 229.47 234.33 MIN: 233.28 / MAX: 234.44 MIN: 228.76 / MAX: 243.35 MIN: 233.77 / MAX: 235.34 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
C-Blosc Compressor: blosclz OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Compressor: blosclz 1 2 3 5K 10K 15K 20K 25K SE +/- 252.81, N = 3 24266.0 24488.5 23982.1 1. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm
TNN Target: CPU - Model: SqueezeNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 1 2 3 14 28 42 56 70 SE +/- 0.39, N = 3 63.14 62.61 61.91 MIN: 62.24 / MAX: 65.89 MIN: 62.02 / MAX: 63.15 MIN: 61.06 / MAX: 70.59 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: blazeface 1 2 3 0.8145 1.629 2.4435 3.258 4.0725 SE +/- 0.04, N = 3 3.58 3.62 3.55 MIN: 3.38 / MAX: 12.86 MIN: 3.45 / MAX: 4.81 MIN: 3.39 / MAX: 4.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: mobilenet 1 2 3 4 8 12 16 20 SE +/- 0.03, N = 3 17.55 17.32 17.22 MIN: 16.78 / MAX: 54.56 MIN: 16.64 / MAX: 19.26 MIN: 16.57 / MAX: 18.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
GravityMark Resolution: 3840 x 2160 - Renderer: OpenGL OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 3840 x 2160 - Renderer: OpenGL 1 2 3 12 24 36 48 60 SE +/- 0.31, N = 3 50.4 51.0 50.3
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: shufflenet-v2 1 2 3 2 4 6 8 10 SE +/- 0.07, N = 3 7.87 7.80 7.77 MIN: 7.44 / MAX: 9.36 MIN: 7.42 / MAX: 8.91 MIN: 7.42 / MAX: 10.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: inception-v3 1 2 3 6 12 18 24 30 SE +/- 0.08, N = 3 23.88 23.71 23.97 MIN: 23.51 / MAX: 24.82 MIN: 23.46 / MAX: 25.21 MIN: 23.66 / MAX: 24.58 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 1 2 3 2 4 6 8 10 SE +/- 0.03, N = 3 7.63 7.60 7.68 MIN: 7.24 / MAX: 9.1 MIN: 7.19 / MAX: 18.28 MIN: 7.29 / MAX: 9.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 1 2 3 0.6397 1.2794 1.9191 2.5588 3.1985 SE +/- 0.003, N = 3 2.843 2.817 2.843 MIN: 2.8 / MAX: 3 MIN: 2.78 / MAX: 2.91 MIN: 2.81 / MAX: 3.03 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: resnet50 1 2 3 6 12 18 24 30 SE +/- 0.12, N = 3 23.23 23.09 23.06 MIN: 22.06 / MAX: 33.11 MIN: 22.07 / MAX: 32.05 MIN: 22.05 / MAX: 26.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
GravityMark Resolution: 3840 x 2160 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 3840 x 2160 - Renderer: Vulkan 1 2 3 13 26 39 52 65 SE +/- 0.18, N = 3 56.2 56.6 56.5
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 1 2 3 60 120 180 240 300 SE +/- 0.87, N = 3 268.50 269.21 267.68 MIN: 248.69 / MAX: 327.41 MIN: 249.65 / MAX: 314.41 MIN: 248.78 / MAX: 312.08 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
GravityMark Resolution: 2560 x 1440 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 2560 x 1440 - Renderer: Vulkan 1 2 3 20 40 60 80 100 SE +/- 0.10, N = 3 77.0 77.3 76.9
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20210525 Target: CPU - Model: yolov4-tiny 1 2 3 6 12 18 24 30 SE +/- 0.07, N = 3 26.03 25.92 25.91 MIN: 24.91 / MAX: 49.23 MIN: 25.03 / MAX: 28.88 MIN: 24.73 / MAX: 45.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
TNN Target: CPU - Model: DenseNet OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: DenseNet 1 2 3 600 1200 1800 2400 3000 SE +/- 2.01, N = 3 2657.48 2657.59 2651.01 MIN: 2552.48 / MAX: 2772.13 MIN: 2555.66 / MAX: 2793.47 MIN: 2514.73 / MAX: 2780.71 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: MobileNetV2_224 1 2 3 0.9284 1.8568 2.7852 3.7136 4.642 SE +/- 0.012, N = 3 4.124 4.119 4.126 MIN: 4.07 / MAX: 4.3 MIN: 4.08 / MAX: 4.26 MIN: 4.09 / MAX: 4.23 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
GravityMark Resolution: 1920 x 1080 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: Vulkan 1 2 3 20 40 60 80 100 SE +/- 0.20, N = 3 87.9 87.8 87.9
Unvanquished Resolution: 3840 x 2160 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 3840 x 2160 - Effects Quality: Medium 1 2 3 50 100 150 200 250 SE +/- 8.63, N = 15 206.6 170.3 201.9
Unvanquished Resolution: 2560 x 1440 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 2560 x 1440 - Effects Quality: Medium 1 2 3 50 100 150 200 250 SE +/- 7.79, N = 15 205.7 192.9 175.7
Unvanquished Resolution: 1920 x 1200 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1200 - Effects Quality: Medium 1 2 3 50 100 150 200 250 SE +/- 8.25, N = 15 216.8 184.7 224.9
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: Medium 1 2 3 40 80 120 160 200 SE +/- 5.32, N = 15 194.2 186.8 186.0
Unvanquished Resolution: 3840 x 2160 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 3840 x 2160 - Effects Quality: Ultra 1 2 3 50 100 150 200 250 SE +/- 6.89, N = 15 196.5 229.5 168.8
Unvanquished Resolution: 2560 x 1440 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 2560 x 1440 - Effects Quality: Ultra 1 2 3 50 100 150 200 250 SE +/- 5.83, N = 15 204.2 200.5 220.0
Unvanquished Resolution: 1920 x 1200 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1200 - Effects Quality: Ultra 1 2 3 50 100 150 200 250 SE +/- 4.65, N = 14 199.3 206.2 213.3
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: Ultra 1 2 3 50 100 150 200 250 SE +/- 8.75, N = 15 209.4 226.4 182.7
Unvanquished Resolution: 3840 x 2160 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 3840 x 2160 - Effects Quality: High 1 2 3 50 100 150 200 250 SE +/- 6.53, N = 15 206.1 234.0 174.2
Unvanquished Resolution: 2560 x 1440 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 2560 x 1440 - Effects Quality: High 1 2 3 40 80 120 160 200 SE +/- 4.72, N = 15 199.5 199.5 184.9
Unvanquished Resolution: 1920 x 1200 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1200 - Effects Quality: High 1 2 3 40 80 120 160 200 SE +/- 5.65, N = 15 191.1 198.6 174.0
Unvanquished Resolution: 1920 x 1080 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: High 1 2 3 50 100 150 200 250 SE +/- 5.21, N = 12 205.7 174.8 210.4
Phoronix Test Suite v10.8.4