March 2021 Linux Vulkan, RT, Compute

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3204 BIOS) and NVIDIA GeForce RTX 2080 Ti 11GB on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2103089-PTS-MARCH20299
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CPU Massive 3 Tests
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NVIDIA GPU Compute 12 Tests
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Vulkan Compute 5 Tests

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RTX 3060 Ti
March 07
  6 Hours, 13 Minutes
RTX 3080
March 07
  5 Hours, 28 Minutes
RTX 2080 Ti
March 08
  6 Hours, 7 Minutes
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  5 Hours, 56 Minutes

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March 2021 Linux Vulkan, RT, ComputeOpenBenchmarking.orgPhoronix Test Suite 10.6.1AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3204 BIOS)AMD Starship/Matisse32GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 2080 Ti 11GBNVIDIA Device 228bNVIDIA Device 1aefNVIDIA TU102 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.8.0-44-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.9NVIDIA 460.394.6.0OpenCL 1.2 CUDA 11.2.1361.2.155GCC 10.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionMarch 2021 Linux Vulkan, RT, Compute BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3080: GPU Compute Cores: 8704- RTX 2080 Ti: GPU Compute Cores: 4352- 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

RTX 3060 TiRTX 3080RTX 2080 TiResult OverviewPhoronix Test Suite 10.6.1100%121%142%162%LuxCoreRender OpenCLChaos Group V-RAYBlenderGeeXLab Vulkan Ray-Tracing DemoVkFFTOctaneBenchVkResampleRedShift DemoRealSR-NCNNLeelaChessZeroFAHBenchWaifu2x-NCNN VulkanNCNNNAMD CUDA

RTX 3060 TiRTX 3080RTX 2080 TiPer Watt Result OverviewPhoronix Test Suite 10.6.1100%120%140%161%181%LuxCoreRender OpenCLChaos Group V-RAYMeta Performance Per WattsOctaneBenchFAHBenchLeelaChessZeroVkFFTGeeXLab Vulkan Ray-Tracing DemoP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

March 2021 Linux Vulkan, RT, Computerealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Nowaifu2x-ncnn: 2x - 3 - Yesncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - mnasnetvkfft: vkresample: 2x - Singlefahbench: luxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: DLSCluxcorerender-cl: Rainbow Colors and Prismluxcorerender-cl: Foodlczero: OpenCLnamd-cuda: ATPase Simulation - 327,506 Atomsredshift: geexlab-rt: 1920 x 1080geexlab-rt: 2560 x 1440geexlab-rt: 3840 x 2160octanebench: Total Scorev-ray: NVIDIA CUDA GPUv-ray: NVIDIA RTX GPUblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti54.3508.8344.39515.895.564.975.157.062.2416.9169.3518.0714.4632.0926.2218.0721.234.953494517.649234.34975.767.0216.892.92226740.1541924247.127.313.2379.8390221174153518.0455.2342.3787.0834.6776.3653.48015.625.624.945.226.562.2317.2569.3718.4314.2532.7826.2817.3321.255.285630711.268317.32527.889.6122.024.08316340.1550016680.446.222.5557.2549231646215711.6936.3424.5056.5445.3108.3653.94315.255.294.965.036.562.2915.9264.4717.5513.5030.6324.7417.2220.784.824231414.763295.26304.525.5111.822.05232320.1541024766.339.119.0353.079373924124719.6274.8036.34104.15OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3060 TiRTX 3080RTX 2080 Ti1224364860SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 354.3534.6845.31
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3060 TiRTX 3080RTX 2080 Ti1122334455Min: 54.27 / Avg: 54.35 / Max: 54.45Min: 34.63 / Avg: 34.68 / Max: 34.75Min: 44.75 / Avg: 45.31 / Max: 45.64

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3060 TiRTX 3080RTX 2080 Ti246810SE +/- 0.027, N = 5SE +/- 0.025, N = 6SE +/- 0.076, N = 158.8346.3658.365
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3060 TiRTX 3080RTX 2080 Ti3691215Min: 8.77 / Avg: 8.83 / Max: 8.89Min: 6.26 / Avg: 6.36 / Max: 6.44Min: 7.62 / Avg: 8.37 / Max: 8.6

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3060 TiRTX 3080RTX 2080 Ti0.98891.97782.96673.95564.9445SE +/- 0.008, N = 8SE +/- 0.012, N = 9SE +/- 0.028, N = 84.3953.4803.943
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 4.36 / Avg: 4.39 / Max: 4.43Min: 3.44 / Avg: 3.48 / Max: 3.53Min: 3.81 / Avg: 3.94 / Max: 4

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetRTX 3060 TiRTX 3080RTX 2080 Ti48121620SE +/- 0.19, N = 15SE +/- 0.16, N = 15SE +/- 0.17, N = 1515.8915.6215.25MIN: 12.07 / MAX: 199.19MIN: 12.03 / MAX: 156.2MIN: 12.38 / MAX: 152.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetRTX 3060 TiRTX 3080RTX 2080 Ti48121620Min: 14.64 / Avg: 15.89 / Max: 17.02Min: 14.6 / Avg: 15.62 / Max: 16.45Min: 14.03 / Avg: 15.25 / Max: 16.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3060 TiRTX 3080RTX 2080 Ti1.26452.5293.79355.0586.3225SE +/- 0.09, N = 15SE +/- 0.10, N = 15SE +/- 0.06, N = 155.565.625.29MIN: 4.33 / MAX: 129.48MIN: 4.26 / MAX: 143.56MIN: 4.42 / MAX: 151.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 5.09 / Avg: 5.56 / Max: 6.11Min: 5.01 / Avg: 5.62 / Max: 6.43Min: 4.67 / Avg: 5.29 / Max: 5.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3060 TiRTX 3080RTX 2080 Ti1.11832.23663.35494.47325.5915SE +/- 0.09, N = 15SE +/- 0.07, N = 15SE +/- 0.04, N = 154.974.944.96MIN: 4.03 / MAX: 127.3MIN: 4.01 / MAX: 130.11MIN: 4.19 / MAX: 152.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 4.24 / Avg: 4.97 / Max: 5.57Min: 4.39 / Avg: 4.94 / Max: 5.35Min: 4.75 / Avg: 4.96 / Max: 5.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2RTX 3060 TiRTX 3080RTX 2080 Ti1.17452.3493.52354.6985.8725SE +/- 0.11, N = 15SE +/- 0.08, N = 15SE +/- 0.07, N = 155.155.225.03MIN: 4.19 / MAX: 181.51MIN: 4.2 / MAX: 125.15MIN: 4.28 / MAX: 153.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2RTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 4.48 / Avg: 5.15 / Max: 5.9Min: 4.54 / Avg: 5.22 / Max: 5.81Min: 4.33 / Avg: 5.03 / Max: 5.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0RTX 3060 TiRTX 3080RTX 2080 Ti246810SE +/- 0.13, N = 15SE +/- 0.06, N = 15SE +/- 0.07, N = 157.066.566.56MIN: 5.49 / MAX: 146.78MIN: 5.41 / MAX: 126.96MIN: 5.57 / MAX: 146.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0RTX 3060 TiRTX 3080RTX 2080 Ti3691215Min: 6.45 / Avg: 7.06 / Max: 8.15Min: 6.32 / Avg: 6.56 / Max: 7.09Min: 6.24 / Avg: 6.56 / Max: 7.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRTX 3060 TiRTX 3080RTX 2080 Ti0.51531.03061.54592.06122.5765SE +/- 0.09, N = 15SE +/- 0.09, N = 15SE +/- 0.07, N = 152.242.232.29MIN: 1.75 / MAX: 138.88MIN: 1.77 / MAX: 123.59MIN: 1.83 / MAX: 154.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 1.89 / Avg: 2.24 / Max: 2.88Min: 1.85 / Avg: 2.23 / Max: 2.93Min: 1.94 / Avg: 2.29 / Max: 2.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRTX 3060 TiRTX 3080RTX 2080 Ti48121620SE +/- 0.14, N = 15SE +/- 0.16, N = 15SE +/- 0.19, N = 1516.9117.2515.92MIN: 12.6 / MAX: 165.86MIN: 12.94 / MAX: 157.63MIN: 12.87 / MAX: 148.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRTX 3060 TiRTX 3080RTX 2080 Ti48121620Min: 16 / Avg: 16.91 / Max: 17.73Min: 15.83 / Avg: 17.25 / Max: 18.11Min: 14.91 / Avg: 15.92 / Max: 17.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16RTX 3060 TiRTX 3080RTX 2080 Ti1530456075SE +/- 0.22, N = 15SE +/- 0.13, N = 15SE +/- 0.19, N = 1569.3569.3764.47MIN: 57.34 / MAX: 251.7MIN: 57.51 / MAX: 277.84MIN: 55.92 / MAX: 197.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16RTX 3060 TiRTX 3080RTX 2080 Ti1326395265Min: 67.95 / Avg: 69.35 / Max: 70.98Min: 68.61 / Avg: 69.37 / Max: 70.18Min: 62.94 / Avg: 64.47 / Max: 65.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18RTX 3060 TiRTX 3080RTX 2080 Ti510152025SE +/- 0.11, N = 15SE +/- 0.16, N = 15SE +/- 0.13, N = 1518.0718.4317.55MIN: 14.23 / MAX: 148.96MIN: 14.45 / MAX: 185.47MIN: 14.8 / MAX: 158.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18RTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 17.15 / Avg: 18.07 / Max: 18.7Min: 17.47 / Avg: 18.43 / Max: 19.58Min: 16.93 / Avg: 17.55 / Max: 18.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRTX 3060 TiRTX 3080RTX 2080 Ti48121620SE +/- 0.14, N = 15SE +/- 0.12, N = 15SE +/- 0.10, N = 1514.4614.2513.50MIN: 11.57 / MAX: 172.15MIN: 11.62 / MAX: 146.95MIN: 11.55 / MAX: 150.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRTX 3060 TiRTX 3080RTX 2080 Ti48121620Min: 13.59 / Avg: 14.46 / Max: 15.2Min: 13.67 / Avg: 14.25 / Max: 15.21Min: 12.86 / Avg: 13.5 / Max: 14.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50RTX 3060 TiRTX 3080RTX 2080 Ti816243240SE +/- 0.26, N = 15SE +/- 0.28, N = 15SE +/- 0.16, N = 1532.0932.7830.63MIN: 24.39 / MAX: 181.2MIN: 24.87 / MAX: 191.57MIN: 24.98 / MAX: 184.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50RTX 3060 TiRTX 3080RTX 2080 Ti714212835Min: 30.11 / Avg: 32.09 / Max: 33.82Min: 30.87 / Avg: 32.78 / Max: 34.1Min: 29.45 / Avg: 30.63 / Max: 31.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyRTX 3060 TiRTX 3080RTX 2080 Ti612182430SE +/- 0.12, N = 15SE +/- 0.08, N = 15SE +/- 0.17, N = 1526.2226.2824.74MIN: 20.73 / MAX: 190.19MIN: 20.52 / MAX: 209.9MIN: 20.75 / MAX: 158.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyRTX 3060 TiRTX 3080RTX 2080 Ti612182430Min: 25.52 / Avg: 26.22 / Max: 27.08Min: 25.58 / Avg: 26.28 / Max: 26.71Min: 24.07 / Avg: 24.74 / Max: 26.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdRTX 3060 TiRTX 3080RTX 2080 Ti48121620SE +/- 0.12, N = 14SE +/- 0.17, N = 15SE +/- 0.08, N = 1518.0717.3317.22MIN: 14.13 / MAX: 170.56MIN: 13.69 / MAX: 168.01MIN: 14.2 / MAX: 168.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdRTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 17.29 / Avg: 18.07 / Max: 18.78Min: 16.38 / Avg: 17.33 / Max: 18.85Min: 16.58 / Avg: 17.22 / Max: 17.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mRTX 3060 TiRTX 3080RTX 2080 Ti510152025SE +/- 0.14, N = 15SE +/- 0.14, N = 15SE +/- 0.20, N = 1521.2321.2520.78MIN: 17.34 / MAX: 158.36MIN: 17.24 / MAX: 229.2MIN: 17.42 / MAX: 165.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mRTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 20.37 / Avg: 21.23 / Max: 22.49Min: 20.54 / Avg: 21.25 / Max: 22.47Min: 19.46 / Avg: 20.78 / Max: 21.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRTX 3060 TiRTX 3080RTX 2080 Ti1.1882.3763.5644.7525.94SE +/- 0.10, N = 14SE +/- 0.11, N = 14SE +/- 0.08, N = 154.955.284.82MIN: 3.88 / MAX: 153.2MIN: 3.88 / MAX: 209.24MIN: 3.95 / MAX: 145.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 4.1 / Avg: 4.95 / Max: 5.77Min: 4.55 / Avg: 5.28 / Max: 6Min: 4.29 / Avg: 4.82 / Max: 5.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1RTX 3060 TiRTX 3080RTX 2080 Ti12K24K36K48K60KSE +/- 34.40, N = 3SE +/- 645.06, N = 3SE +/- 87.52, N = 33494556307423141. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1RTX 3060 TiRTX 3080RTX 2080 Ti10K20K30K40K50KMin: 34884 / Avg: 34945.33 / Max: 35003Min: 55026 / Avg: 56306.67 / Max: 57082Min: 42143 / Avg: 42314.33 / Max: 424311. (CXX) g++ options: -O3 -pthread

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3060 TiRTX 3080RTX 2080 Ti48121620SE +/- 0.02, N = 5SE +/- 0.05, N = 5SE +/- 0.01, N = 517.6511.2714.761. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3060 TiRTX 3080RTX 2080 Ti48121620Min: 17.6 / Avg: 17.65 / Max: 17.72Min: 11.18 / Avg: 11.27 / Max: 11.47Min: 14.74 / Avg: 14.76 / Max: 14.791. (CXX) g++ options: -O3 -pthread

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 3060 TiRTX 3080RTX 2080 Ti70140210280350SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 3.64, N = 4234.35317.33295.26
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 3060 TiRTX 3080RTX 2080 Ti60120180240300Min: 234.1 / Avg: 234.35 / Max: 234.6Min: 316.77 / Avg: 317.33 / Max: 318.04Min: 291.13 / Avg: 295.26 / Max: 306.17

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkRTX 3060 TiRTX 3080RTX 2080 Ti246810SE +/- 0.09, N = 12SE +/- 0.02, N = 3SE +/- 0.08, N = 125.767.884.52MIN: 0.15 / MAX: 6.78MIN: 0.23 / MAX: 9.07MIN: 0.14 / MAX: 5.4
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkRTX 3060 TiRTX 3080RTX 2080 Ti3691215Min: 4.79 / Avg: 5.76 / Max: 5.91Min: 7.84 / Avg: 7.88 / Max: 7.9Min: 3.7 / Avg: 4.52 / Max: 4.72

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCRTX 3060 TiRTX 3080RTX 2080 Ti3691215SE +/- 0.14, N = 12SE +/- 0.01, N = 3SE +/- 0.11, N = 127.029.615.51MIN: 1.93 / MAX: 7.37MIN: 9.25 / MAX: 9.72MIN: 1.49 / MAX: 5.76
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCRTX 3060 TiRTX 3080RTX 2080 Ti3691215Min: 5.52 / Avg: 7.02 / Max: 7.17Min: 9.59 / Avg: 9.61 / Max: 9.62Min: 4.33 / Avg: 5.51 / Max: 5.64

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRTX 3060 TiRTX 3080RTX 2080 Ti510152025SE +/- 0.51, N = 15SE +/- 0.14, N = 5SE +/- 0.29, N = 1516.8922.0211.82MIN: 6.42 / MAX: 18.31MIN: 18.62 / MAX: 23.39MIN: 4.13 / MAX: 12.85
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 9.74 / Avg: 16.89 / Max: 17.66Min: 21.49 / Avg: 22.02 / Max: 22.29Min: 7.8 / Avg: 11.82 / Max: 12.36

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 3060 TiRTX 3080RTX 2080 Ti0.9181.8362.7543.6724.59SE +/- 0.07, N = 12SE +/- 0.03, N = 3SE +/- 0.07, N = 122.924.082.05MIN: 0.14 / MAX: 3.71MIN: 0.29 / MAX: 5.04MIN: 0.11 / MAX: 2.71
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 3060 TiRTX 3080RTX 2080 Ti246810Min: 2.21 / Avg: 2.92 / Max: 3.04Min: 4.04 / Avg: 4.08 / Max: 4.13Min: 1.35 / Avg: 2.05 / Max: 2.22

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLRTX 3060 TiRTX 3080RTX 2080 Ti7K14K21K28K35KSE +/- 36.29, N = 3SE +/- 77.75, N = 3SE +/- 68.46, N = 32267431634232321. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLRTX 3060 TiRTX 3080RTX 2080 Ti5K10K15K20K25KMin: 22620 / Avg: 22674 / Max: 22743Min: 31527 / Avg: 31633.67 / Max: 31785Min: 23097 / Avg: 23232.33 / Max: 233181. (CXX) g++ options: -flto -pthread

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 3060 TiRTX 3080RTX 2080 Ti0.03490.06980.10470.13960.1745SE +/- 0.00107, N = 15SE +/- 0.00166, N = 4SE +/- 0.00066, N = 50.154190.155000.15410
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 3060 TiRTX 3080RTX 2080 Ti12345Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.16

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0RTX 3060 TiRTX 3080RTX 2080 Ti50100150200250SE +/- 0.33, N = 3242166247
OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0RTX 3060 TiRTX 3080RTX 2080 Ti4080120160200Min: 247 / Avg: 247.33 / Max: 248

GeeXLab Vulkan Ray-Tracing Demo

GeeXLab is a cross-platform tool for 3D programming and demo creation. The GeeXLab Vulkan Ray-Tracing Demo from Geeks3D.com is a path tracer based demo making use of the Vulkan ray-tracing extensions with supported graphics processors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 1920 x 1080RTX 3060 TiRTX 3080RTX 2080 Ti20406080100SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 347.180.466.3
OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 1920 x 1080RTX 3060 TiRTX 3080RTX 2080 Ti1530456075Min: 46.9 / Avg: 47.07 / Max: 47.2Min: 80.1 / Avg: 80.4 / Max: 80.7Min: 66.2 / Avg: 66.33 / Max: 66.5

OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 2560 x 1440RTX 3060 TiRTX 3080RTX 2080 Ti1020304050SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 327.346.239.1
OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 2560 x 1440RTX 3060 TiRTX 3080RTX 2080 Ti918273645Min: 27.2 / Avg: 27.27 / Max: 27.3Min: 46.1 / Avg: 46.23 / Max: 46.4Min: 39.1 / Avg: 39.1 / Max: 39.1

OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 3840 x 2160RTX 3060 TiRTX 3080RTX 2080 Ti510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.222.519.0
OpenBenchmarking.orgFPS, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 3840 x 2160RTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 13.1 / Avg: 13.17 / Max: 13.2Min: 22.4 / Avg: 22.47 / Max: 22.5Min: 18.9 / Avg: 18.97 / Max: 19

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreRTX 3060 TiRTX 3080RTX 2080 Ti120240360480600379.84557.25353.08

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPURTX 3060 TiRTX 3080RTX 2080 Ti400800120016002000SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 311741646924
OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPURTX 3060 TiRTX 3080RTX 2080 Ti30060090012001500Min: 1173 / Avg: 1173.67 / Max: 1174Min: 1645 / Avg: 1646.33 / Max: 1648Min: 923 / Avg: 924.33 / Max: 926

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPURTX 3060 TiRTX 3080RTX 2080 Ti5001000150020002500SE +/- 0.67, N = 3SE +/- 5.78, N = 3SE +/- 0.67, N = 3153521571247
OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPURTX 3060 TiRTX 3080RTX 2080 Ti400800120016002000Min: 1534 / Avg: 1535.33 / Max: 1536Min: 2146 / Avg: 2157.33 / Max: 2165Min: 1246 / Avg: 1247.33 / Max: 1248

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 318.0411.6919.62
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti510152025Min: 17.98 / Avg: 18.04 / Max: 18.07Min: 11.66 / Avg: 11.69 / Max: 11.7Min: 19.59 / Avg: 19.62 / Max: 19.65

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti20406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 355.2336.3474.80
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti1428425670Min: 55.12 / Avg: 55.23 / Max: 55.33Min: 36.3 / Avg: 36.34 / Max: 36.41Min: 74.67 / Avg: 74.8 / Max: 75.02

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti1020304050SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 342.3724.5036.34
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti918273645Min: 42.29 / Avg: 42.37 / Max: 42.51Min: 24.46 / Avg: 24.5 / Max: 24.54Min: 36.07 / Avg: 36.34 / Max: 36.65

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti20406080100SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 387.0856.54104.15
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3060 TiRTX 3080RTX 2080 Ti20406080100Min: 87.04 / Avg: 87.08 / Max: 87.1Min: 56.43 / Avg: 56.54 / Max: 56.62Min: 104.05 / Avg: 104.15 / Max: 104.21

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 3060 TiRTX 3080RTX 2080 Ti4080120160200133.56196.14131.48

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3060 TiRTX 3080RTX 2080 Ti60120180240300Min: 16.34 / Avg: 121.86 / Max: 199.26Min: 6.14 / Avg: 195.22 / Max: 320.01Min: 21.17 / Avg: 162.79 / Max: 270.71

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 3060 TiRTX 3080RTX 2080 Ti1530456075Min: 33 / Avg: 58.3 / Max: 71Min: 32 / Avg: 60.5 / Max: 73Min: 34 / Avg: 63.71 / Max: 77