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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Machine Learning 2 Tests
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NVIDIA GPU Compute 12 Tests
Renderers 2 Tests
Vulkan Compute 5 Tests

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  Test
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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 10.4.0AMD 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 10.4.0100%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 10.4.0100%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
MinAvgMaxRTX 3060 Ti17.52177.6197.78RTX 30809.32275.6319.77RTX 2080 Ti24.30227.3265.71OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti35.0061.368.00RTX 308053.0066.872.00RTX 2080 Ti56.0070.375.00OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.80115.9197.35RTX 308017.18167.8318.93RTX 2080 Ti24.38137.2270.71OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti51.0058.064.00RTX 308057.0060.665.00RTX 2080 Ti57.0062.469.00OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.3090.5166.95RTX 308015.91137.2261.25RTX 2080 Ti23.56116.2248.41OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti48.0053.459.00RTX 308053.0056.660.00RTX 2080 Ti54.0057.562.00OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti16.3417.920.35RTX 30806.1412.679.58RTX 2080 Ti21.1721.825.08OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20201218GPU Power Consumption Monitor20406080100
MinAvgMaxRTX 3060 Ti33.0036.642.00RTX 308032.0035.652.00RTX 2080 Ti34.0036.753.00OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20201218GPU Temperature Monitor1530456075
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 Per Watt, More Is BetterVkFFT 1.1.1RTX 3060 TiRTX 3080RTX 2080 Ti90180270360450380.45364.79405.23
MinAvgMaxRTX 3060 Ti18.2591.9169.74RTX 308010.89154.4272.40RTX 2080 Ti21.35104.4266.17OpenBenchmarking.orgWatts, Fewer Is BetterVkFFT 1.1.1GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti38.0051.459.00RTX 308034.0055.464.00RTX 2080 Ti34.0052.760.00OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 1.1.1GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti19.2344.5181.09RTX 308012.3261.4280.71RTX 2080 Ti22.2555.4260.45OpenBenchmarking.orgWatts, Fewer Is BetterVkResample 1.0GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti40.0044.756.00RTX 308049.0052.761.00RTX 2080 Ti47.0050.058.00OpenBenchmarking.orgCelsius, Fewer Is BetterVkResample 1.0GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterFAHBench 2.3.2RTX 3060 TiRTX 3080RTX 2080 Ti0.48150.9631.44451.9262.40752.141.692.09
MinAvgMaxRTX 3060 Ti18.83109.4152.43RTX 308014.76187.7253.81RTX 2080 Ti21.93141.2223.14OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti39.0053.463.00RTX 308046.0059.367.00RTX 2080 Ti45.0057.567.00OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkRTX 3060 TiRTX 3080RTX 2080 Ti0.0090.0180.0270.0360.0450.040.030.02
MinAvgMaxRTX 3060 Ti20.80143.7167.22RTX 308016.82240.5278.10RTX 2080 Ti23.86184.9219.18OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti49.0063.066.00RTX 308056.0066.370.00RTX 2080 Ti56.0068.172.00OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCRTX 3060 TiRTX 3080RTX 2080 Ti0.0090.0180.0270.0360.0450.040.040.03
MinAvgMaxRTX 3060 Ti20.43160.2174.82RTX 308017.49269.1292.18RTX 2080 Ti24.18207.8229.40OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti50.0065.668.00RTX 308056.0068.471.00RTX 2080 Ti58.0071.474.00OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRTX 3060 TiRTX 3080RTX 2080 Ti0.03380.06760.10140.13520.1690.150.120.08
MinAvgMaxRTX 3060 Ti20.82112.0160.20RTX 308017.18187.9265.40RTX 2080 Ti27.89151.0194.69OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti52.0058.963.00RTX 308058.0061.664.00RTX 2080 Ti59.0063.866.00OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 3060 TiRTX 3080RTX 2080 Ti0.00450.0090.01350.0180.02250.020.020.01
MinAvgMaxRTX 3060 Ti20.44140.6166.78RTX 308015.81232.5273.87RTX 2080 Ti23.88169.4204.47OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti49.0063.467.00RTX 308053.0065.569.00RTX 2080 Ti54.0066.370.00OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender OpenCL 2.3GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterLeelaChessZero 0.26Backend: OpenCLRTX 3060 TiRTX 3080RTX 2080 Ti306090120150119.56106.8698.31
MinAvgMaxRTX 3060 Ti20.80189.6198.73RTX 308022.75296.0317.52RTX 2080 Ti25.25236.3266.12OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti51.0070.071.00RTX 308056.0071.373.00RTX 2080 Ti52.0074.477.00OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti19.9879.5176.69RTX 308017.64130.5239.07RTX 2080 Ti28.48121.3256.62OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.14GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti43.0052.662.00RTX 308056.0058.962.00RTX 2080 Ti59.0063.268.00OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.14GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.27151.9164.66RTX 308022.25272.4295.79RTX 2080 Ti24.02216.2240.68OpenBenchmarking.orgWatts, Fewer Is BetterRedShift Demo 3.0GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti47.0064.767.00RTX 308053.0069.272.00RTX 2080 Ti55.0072.275.00OpenBenchmarking.orgCelsius, Fewer Is BetterRedShift Demo 3.0GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 1920 x 1080RTX 3060 TiRTX 3080RTX 2080 Ti0.06980.13960.20940.27920.3490.290.300.31
MinAvgMaxRTX 3060 Ti20.73164.2199.26RTX 308028.68266.2320.01RTX 2080 Ti27.01214.3264.91OpenBenchmarking.orgWatts, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti51.0064.469.00RTX 308058.0067.572.00RTX 2080 Ti62.0070.174.00OpenBenchmarking.orgCelsius, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 2560 x 1440RTX 3060 TiRTX 3080RTX 2080 Ti0.04050.0810.12150.1620.20250.170.170.18
MinAvgMaxRTX 3060 Ti20.89164.3199.03RTX 308028.47269.3319.88RTX 2080 Ti28.23214.4263.99OpenBenchmarking.orgWatts, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti52.0064.669.00RTX 308058.0067.571.00RTX 2080 Ti61.0069.773.00OpenBenchmarking.orgCelsius, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0Resolution: 3840 x 2160RTX 3060 TiRTX 3080RTX 2080 Ti0.02030.04060.06090.08120.10150.080.080.09
MinAvgMaxRTX 3060 Ti20.83164.6198.71RTX 308024.59267.2319.03RTX 2080 Ti26.41216.4262.88OpenBenchmarking.orgWatts, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti52.0064.669.00RTX 308058.0067.271.00RTX 2080 Ti61.0069.473.00OpenBenchmarking.orgCelsius, Fewer Is BetterGeeXLab Vulkan Ray-Tracing Demo 2021.2.18.0GPU Temperature Monitor20406080100
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
OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 2020.1Total ScoreRTX 3060 TiRTX 3080RTX 2080 Ti0.5221.0441.5662.0882.612.321.901.57
MinAvgMaxRTX 3060 Ti18.18164.0180.12RTX 308025.09293.3318.93RTX 2080 Ti26.59225.0266.19OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 2020.1GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti36.0063.968.00RTX 308057.0071.073.00RTX 2080 Ti60.0072.977.00OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 2020.1GPU Temperature Monitor20406080100

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 Per Watt, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPURTX 3060 TiRTX 3080RTX 2080 Ti2468108.636.975.50
MinAvgMaxRTX 3060 Ti20.64136.0171.53RTX 308025.83236.2297.00RTX 2080 Ti23.88167.9226.76OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti49.0061.967.00RTX 308056.0066.071.00RTX 2080 Ti58.0066.171.00OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 5GPU Temperature Monitor20406080100
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 Per Watt, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPURTX 3060 TiRTX 3080RTX 2080 Ti369121512.269.827.88
MinAvgMaxRTX 3060 Ti20.58125.2157.71RTX 308023.32219.6279.21RTX 2080 Ti23.68158.3206.04OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti50.0060.465.00RTX 308055.0064.669.00RTX 2080 Ti56.0064.169.00OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 5GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.70124.4157.48RTX 308027.78212.7293.46RTX 2080 Ti25.24170.8216.11OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor70140210280350
MinAvgMaxRTX 3060 Ti51.0060.063.00RTX 308057.0063.167.00RTX 2080 Ti58.0064.567.00OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.58165.5183.03RTX 308020.18281.5319.25RTX 2080 Ti24.35208.1228.31OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti50.0065.268.00RTX 308056.0068.172.00RTX 2080 Ti57.0070.173.00OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.84137.7160.50RTX 308028.55236.1300.54RTX 2080 Ti25.95204.1246.26OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti52.0062.465.00RTX 308058.0065.269.00RTX 2080 Ti61.0069.773.00OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature Monitor20406080100
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
MinAvgMaxRTX 3060 Ti20.74153.7166.94RTX 308028.33269.4307.72RTX 2080 Ti26.85205.8231.03OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor80160240320400
MinAvgMaxRTX 3060 Ti51.0064.566.00RTX 308057.0068.572.00RTX 2080 Ti61.0071.073.00OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature Monitor20406080100
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