NVIDIA GeForce RTX 3090

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3801 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 21.10 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 2112069-PTS-NVIDIAGE39
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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
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RTX 3090
December 05 2021
  2 Hours, 29 Minutes
NVIDIA RTX 3090
December 05 2021
  7 Hours, 31 Minutes
NVIDIA 3090
December 06 2021
  2 Hours, 25 Minutes
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NVIDIA GeForce RTX 3090OpenBenchmarking.orgPhoronix Test Suite 10.8.3AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3801 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 PlusNVIDIA GeForce RTX 3090 24GBNVIDIA GA102 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 21.105.13.0-22-generic (x86_64)GNOME Shell 40.5X Server 1.20.13NVIDIA 495.444.6.0OpenCL 3.0 CUDA 11.5.1001.2.186GCC 11.2.0 + Clang 13.0.0-2ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GeForce RTX 3090 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 schedutil (Boost: Enabled) - CPU Microcode: 0xa201016 - BAR1 / Visible vRAM Size: 32768 MiB- GPU Compute Cores: 10496- Python 3.9.7- 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 3090NVIDIA RTX 3090NVIDIA 3090Result OverviewPhoronix Test Suite 10.8.3100%103%105%108%LuxCoreRenderRodiniaVkFFTNCNNMandelGPUWaifu2x-NCNN VulkanclpeakLeelaChessZeroNAMD CUDARealSR-NCNNArrayFirevkpeakXonoticViennaCLOctaneBenchVkResampleParaViewChaos Group V-RAYET: LegacyWarsowHashcatFAHBenchUnvanquishedSHOC Scalable HeterOgeneous ComputingBlendercl-memIndigoBenchFinanceBench

NVIDIA GeForce RTX 3090vkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesvkfft: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSshoc: OpenCL - S3Dshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Reductionshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Max SP Flopsshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Readcl-mem: Writenamd-cuda: ATPase Simulation - 327,506 Atomsvkresample: 2x - Doublevkresample: 2x - Singleetlegacy: 1920 x 1080etlegacy: 1920 x 1200etlegacy: 2560 x 1440etlegacy: 3840 x 2160unvanquished: 1920 x 1080 - Highunvanquished: 1920 x 1200 - Highunvanquished: 2560 x 1440 - Highunvanquished: 3840 x 2160 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 1920 x 1200 - Ultraunvanquished: 2560 x 1440 - Ultraunvanquished: 3840 x 2160 - Ultraunvanquished: 1920 x 1080 - Mediumunvanquished: 1920 x 1200 - Mediumunvanquished: 2560 x 1440 - Mediumunvanquished: 3840 x 2160 - Mediumwarsow: 1920 x 1080warsow: 1920 x 1200warsow: 2560 x 1440warsow: 3840 x 2160xonotic: 3840 x 2160 - Lowxonotic: 3840 x 2160 - Highxonotic: 3840 x 2160 - Ultraxonotic: 3840 x 2160 - Ultimateoctanebench: Total Scoreparaview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1200paraview: Many Spheres - 1920 x 1200paraview: Many Spheres - 2560 x 1440paraview: Many Spheres - 2560 x 1440paraview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1200paraview: Wavelet Volume - 1920 x 1200paraview: Wavelet Volume - 2560 x 1440paraview: Wavelet Volume - 2560 x 1440paraview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1200paraview: Wavelet Contour - 1920 x 1200paraview: Wavelet Contour - 2560 x 1440paraview: Wavelet Contour - 2560 x 1440paraview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160fahbench: lczero: OpenCLrodinia: OpenCL Particle Filterarrayfire: Conjugate Gradient OpenCLluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfinancebench: Black-Scholes OpenCLviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-TTncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: 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_400mblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarmandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthv-ray: NVIDIA RTX GPUv-ray: NVIDIA CUDA GPUvkpeak: fp64-vec4RTX 3090NVIDIA RTX 3090NVIDIA 309020927.9927806.7420949.6441184.89653.6120769.2720672.1913708.5816885.795.62128.9493.31345831714469000002259930000011385002887000000846100429.08225.47812100.5144.1932391.2098102.3840753.926.334227.12522246.17364.1794.6743.10.12792117.8179.272652.3645.3640.2648.4482464.9469463.6470.8463461.7456.8496.1473.6492.5490.1984.3984.8984.7960.8655.142588556.9297001499.2632615374.4286255686.23125893.959419.39993.919414.68693.29343.81791.469169.636679.6710874.708634.4710151.478559.058944.746384.846157.361602.096274.519561.325849.675514.935366.18396.744134.488353.8915227393.8431.479.1810.4532.336.25966.199.614023.334.942.468.176.181.588.493.891.93685033756067226602393776016045996024.281.983.171.942.083.261.065.854.171.671.913.557.0215.962.5411.0422.7622.8691.136.9417.411.2256.1948.1117.9620.96153.438481322759.617725.1435227.21658.16813.422856211920826.6627457.9020717.3140926.17649.5320689.7220594.7813657.3616880.015.71529.0643.36244252714113666672267850000011401002884666667825633430.34725.48402101.0844.5453391.5738336.7140238.826.328227.12522240.09364.2794.3744.70.12912118.5179.292654.5659.1647.6638.7479.0478.3467.6471.0469.5469.8452.5461.2487.3488.5488.5485.6975.5980.3985.7980.7659.9059394567.7214300492.4660277369.9242194685.10965694.059429.53694.289451.90393.339356.71091.949217.228689.8111036.994643.7510300.044544.988719.750376.776028.366595.526206.035563.055867.721515.785374.983390.644070.881353.3272227113.6941.47011.579.2010.4111.2032.606.25865.598.213723.234.741.667.175.581.984.492.590.73645013716057226572403776006056016014.221.972.241.82.083.251.036.074.181.671.923.556.7217.312.5311.0222.6922.8791.296.9117.4311.3256.3548.1818.0020.95153.500475794831.718044.2535136.60657.71813.4528562112651.1720960.2527806.5520953.7241496.68658.520924.9820672.2113709.4117012.235.67328.8913.31844147714362000002281310000011415002892900000816300430.27925.45052101.8244.5358392.038098.4640566.226.320227.09042245.23362.8795.2742.80.12779119.0739.291659.8657.8643.7635.5440474.6475.7472.9474.5471.1466.6469.7491.9484481.2483984.8984.9985.5978.6645.8515908566.1228693490.2778714367.1052632681.12610893.799402.6392.139236.62993.579380.93292.039226.854696.4711143.486656.1210497.894565.69049.543381.696107.065599.526247.735560.035836.216521.095430.386391.634081.298354.4623230293.6271.48511.619.0110.4311.2232.256.25665.398.313723.234.342.267.575.482.686.892.890.83645003716087236372373776046066026054.231.972.241.82.083.421.055.754.171.71.93.567.4319.732.5311.0922.6422.7890.366.9217.9811.2256.3448.0917.9620.94353.6472928214.818742.735225.4658.16813.4728292115658.51OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 65.72, N = 320927.9920826.6620960.25
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KMin: 20726.11 / Avg: 20826.66 / Max: 20950.26

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30906K12K18K24K30KSE +/- 69.31, N = 327806.7427457.9027806.55
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30905K10K15K20K25KMin: 27386.35 / Avg: 27457.9 / Max: 27596.49

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 45.34, N = 320949.6420717.3120953.72
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KMin: 20640.18 / Avg: 20717.31 / Max: 20797.16

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30909K18K27K36K45KSE +/- 52.39, N = 341184.8940926.1741496.68
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30907K14K21K28K35KMin: 40873.65 / Avg: 40926.17 / Max: 41030.95

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 0.83, N = 3653.61649.53658.50
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 648.68 / Avg: 649.53 / Max: 651.18

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 44.97, N = 320769.2720689.7220924.98
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KMin: 20613.33 / Avg: 20689.72 / Max: 20769.04

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 44.80, N = 320672.1920594.7820672.21
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KMin: 20517.37 / Avg: 20594.78 / Max: 20672.56

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30903K6K9K12K15KSE +/- 29.87, N = 313708.5813657.3613709.41
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KMin: 13606.39 / Avg: 13657.36 / Max: 13709.84

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 2.98, N = 316885.7916880.0117012.23
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30903K6K9K12K15KMin: 16874.74 / Avg: 16880.01 / Max: 16885.04

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: NoRTX 3090NVIDIA RTX 3090NVIDIA 30901.28592.57183.85775.14366.4295SE +/- 0.022, N = 35.6215.7155.673
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 5.69 / Avg: 5.71 / Max: 5.76

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090NVIDIA RTX 3090NVIDIA 3090714212835SE +/- 0.06, N = 328.9529.0628.89
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430Min: 28.94 / Avg: 29.06 / Max: 29.14

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.

Scale: 2x - Denoise: 3 - TAA: No

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3090NVIDIA RTX 3090NVIDIA 30900.75651.5132.26953.0263.7825SE +/- 0.004, N = 33.3133.3623.318
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 3.36 / Avg: 3.36 / Max: 3.37

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 3090NVIDIA RTX 3090NVIDIA 309010K20K30K40K50KSE +/- 384.18, N = 94583144252441471. (CXX) g++ options: -O3
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1RTX 3090NVIDIA RTX 3090NVIDIA 30908K16K24K32K40KMin: 42060 / Avg: 44251.89 / Max: 457971. (CXX) g++ options: -O3

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3090NVIDIA RTX 3090NVIDIA 309015000M30000M45000M60000M75000MSE +/- 78065236.25, N = 3714469000007141136666771436200000
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3090NVIDIA RTX 3090NVIDIA 309012000M24000M36000M48000M60000MMin: 71267100000 / Avg: 71411366666.67 / Max: 71535200000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090NVIDIA RTX 3090NVIDIA 30905000M10000M15000M20000M25000MSE +/- 32122473.96, N = 3225993000002267850000022813100000
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090NVIDIA RTX 3090NVIDIA 30904000M8000M12000M16000M20000MMin: 22631900000 / Avg: 22678500000 / Max: 22740100000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000KSE +/- 4014.97, N = 3113850011401001141500
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000KMin: 1132100 / Avg: 1140100 / Max: 1144700

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090NVIDIA RTX 3090NVIDIA 3090600M1200M1800M2400M3000MSE +/- 2179704.36, N = 3288700000028846666672892900000
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090NVIDIA RTX 3090NVIDIA 3090500M1000M1500M2000M2500MMin: 2881400000 / Avg: 2884666666.67 / Max: 2888800000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000KSE +/- 4520.08, N = 3846100825633816300
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3090NVIDIA RTX 3090NVIDIA 3090150K300K450K600K750KMin: 816700 / Avg: 825633.33 / Max: 831300

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL - Benchmark: Integer

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: NVIDIA CUDA - Benchmark: Integer

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: OpenCL - Benchmark: Double Precision

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Single Precision

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: NVIDIA CUDA - Benchmark: Half Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Double Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Single Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450SE +/- 0.21, N = 3429.08430.35430.281. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 429.94 / Avg: 430.35 / Max: 430.651. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430SE +/- 0.00, N = 325.4825.4825.451. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430Min: 25.48 / Avg: 25.48 / Max: 25.491. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090NVIDIA RTX 3090NVIDIA 30905001000150020002500SE +/- 0.42, N = 32100.512101.082101.821. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090NVIDIA RTX 3090NVIDIA 3090400800120016002000Min: 2100.61 / Avg: 2101.08 / Max: 2101.921. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3090NVIDIA RTX 3090NVIDIA 30901020304050SE +/- 0.00, N = 344.1944.5544.541. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3090NVIDIA RTX 3090NVIDIA 3090918273645Min: 44.54 / Avg: 44.55 / Max: 44.551. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450SE +/- 0.19, N = 3391.21391.57392.031. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 391.21 / Avg: 391.57 / Max: 391.821. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 67.62, N = 38102.388336.718098.461. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 3090NVIDIA RTX 3090NVIDIA 309014002800420056007000Min: 8235.16 / Avg: 8336.71 / Max: 8464.841. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsRTX 3090NVIDIA RTX 3090NVIDIA 30909K18K27K36K45KSE +/- 297.72, N = 340753.940238.840566.21. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsRTX 3090NVIDIA RTX 3090NVIDIA 30907K14K21K28K35KMin: 39697.5 / Avg: 40238.83 / Max: 40724.31. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430SE +/- 0.01, N = 326.3326.3326.321. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430Min: 26.3 / Avg: 26.33 / Max: 26.341. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430SE +/- 0.00, N = 327.1327.1327.091. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430Min: 27.12 / Avg: 27.13 / Max: 27.131. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3090NVIDIA RTX 3090NVIDIA 30905001000150020002500SE +/- 3.07, N = 32246.172240.092245.231. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3090NVIDIA RTX 3090NVIDIA 3090400800120016002000Min: 2236.35 / Avg: 2240.09 / Max: 2246.171. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

RTX 3090: The test quit with a non-zero exit status.

NVIDIA RTX 3090: The test quit with a non-zero exit status.

NVIDIA 3090: The test quit with a non-zero exit status.

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.19, N = 3364.1364.2362.81. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 364 / Avg: 364.23 / Max: 364.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 0.84, N = 3794.6794.3795.21. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700Min: 792.9 / Avg: 794.27 / Max: 795.81. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3090NVIDIA RTX 3090NVIDIA 3090160320480640800SE +/- 0.33, N = 3743.1744.7742.81. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650Min: 744.1 / Avg: 744.73 / Max: 745.21. (CC) gcc options: -O2 -flto -lOpenCL

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 3090NVIDIA RTX 3090NVIDIA 30900.02910.05820.08730.11640.1455SE +/- 0.00047, N = 30.127920.129120.12779
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 3090NVIDIA RTX 3090NVIDIA 309012345Min: 0.13 / Avg: 0.13 / Max: 0.13

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC1 - Quality: Highest

RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA 3090: ./betsy: 3: ./betsy: not found

Codec: ETC2 RGB - Quality: Highest

RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA 3090: ./betsy: 3: ./betsy: not found

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: DoubleRTX 3090NVIDIA RTX 3090NVIDIA 3090306090120150SE +/- 0.08, N = 3117.82118.52119.071. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 118.43 / Avg: 118.52 / Max: 118.681. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090NVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.003, N = 39.2729.2929.2911. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090NVIDIA RTX 3090NVIDIA 30903691215Min: 9.29 / Avg: 9.29 / Max: 9.31. (CXX) g++ options: -O3

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 3.73, N = 3652.3654.5659.8
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 648.3 / Avg: 654.47 / Max: 661.2

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 2.46, N = 3645.3659.1657.8
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 655.9 / Avg: 659.07 / Max: 663.9

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 7.88, N = 4640.2647.6643.7
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 633.7 / Avg: 647.6 / Max: 668.8

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 6.04, N = 3648.4638.7635.5
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 630.6 / Avg: 638.7 / Max: 650.5

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 2.19, N = 3482.0479.0440.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 476.5 / Avg: 479.03 / Max: 483.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 4.62, N = 3464.9478.3474.6
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 469.1 / Avg: 478.33 / Max: 483.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 2.97, N = 3469.0467.6475.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 463.5 / Avg: 467.63 / Max: 473.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 3.53, N = 3463.6471.0472.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 464.3 / Avg: 470.97 / Max: 476.3

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 1.10, N = 3470.8469.5474.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 467.7 / Avg: 469.53 / Max: 471.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 5.55, N = 3463.0469.8471.1
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 460.9 / Avg: 469.8 / Max: 480

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 14.16, N = 12461.7452.5466.6
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 299 / Avg: 452.53 / Max: 478.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 4.41, N = 3456.8461.2469.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400Min: 452.7 / Avg: 461.2 / Max: 467.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 3.91, N = 3496.1487.3491.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 482.3 / Avg: 487.3 / Max: 495

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 1.98, N = 3473.6488.5484.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 485.3 / Avg: 488.47 / Max: 492.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 3.75, N = 3492.5488.5481.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 481 / Avg: 488.47 / Max: 492.8

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 2.17, N = 3490.1485.6483.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: MediumRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 483 / Avg: 485.6 / Max: 489.9

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 5.54, N = 3984.3975.5984.8
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000Min: 966.5 / Avg: 975.47 / Max: 985.6

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 5.60, N = 3984.8980.3984.9
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000Min: 969.1 / Avg: 980.3 / Max: 986.2

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 0.35, N = 3984.7985.7985.5
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000Min: 985.3 / Avg: 985.7 / Max: 986.4

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 0.78, N = 3960.8980.7978.6
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000Min: 979.1 / Avg: 980.67 / Max: 981.5

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: LowRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 0.55, N = 3655.14659.91645.85MIN: 103 / MAX: 1300MIN: 109 / MAX: 1303MIN: 117 / MAX: 1283
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: LowRTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 658.97 / Avg: 659.91 / Max: 660.88

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600SE +/- 1.97, N = 3556.93567.72566.12MIN: 114 / MAX: 1122MIN: 91 / MAX: 1163MIN: 113 / MAX: 1151
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500Min: 565.46 / Avg: 567.72 / Max: 571.64

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 1.15, N = 3499.26492.47490.28MIN: 117 / MAX: 913MIN: 93 / MAX: 902MIN: 122 / MAX: 891
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 490.19 / Avg: 492.47 / Max: 493.82

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltimateRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 1.53, N = 3374.43369.92367.11MIN: 65 / MAX: 751MIN: 58 / MAX: 764MIN: 65 / MAX: 749
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltimateRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 367.01 / Avg: 369.92 / Max: 372.21

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 3090NVIDIA RTX 3090NVIDIA 3090150300450600750686.23685.11681.13

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.

RTX 3090: The test quit with a non-zero exit status.

NVIDIA RTX 3090: The test quit with a non-zero exit status.

NVIDIA 3090: The test quit with a non-zero exit status.

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.05, N = 393.9594.0593.79
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 93.99 / Avg: 94.05 / Max: 94.15

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 4.72, N = 39419.409429.549402.63
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 309016003200480064008000Min: 9423.38 / Avg: 9429.54 / Max: 9438.82

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.06, N = 393.9194.2892.13
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 94.17 / Avg: 94.28 / Max: 94.36

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 5.73, N = 39414.699451.909236.63
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 309016003200480064008000Min: 9441.03 / Avg: 9451.9 / Max: 9460.45

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.08, N = 393.2093.3393.57
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 93.18 / Avg: 93.33 / Max: 93.43

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 7.77, N = 39343.829356.719380.93
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309016003200480064008000Min: 9341.51 / Avg: 9356.71 / Max: 9367.07

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.06, N = 391.4691.9492.03
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 91.83 / Avg: 91.94 / Max: 92.03

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 6.01, N = 39169.649217.239226.85
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309016003200480064008000Min: 9205.92 / Avg: 9217.23 / Max: 9226.4

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090150300450600750SE +/- 5.50, N = 3679.67689.81696.47
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 679.29 / Avg: 689.81 / Max: 697.85

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 88.00, N = 310874.7111036.9911143.49
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KMin: 10868.62 / Avg: 11036.99 / Max: 11165.54

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 4.68, N = 3634.47643.75656.12
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 638.57 / Avg: 643.75 / Max: 653.09

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 74.83, N = 310151.4810300.0410497.89
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KMin: 10217.18 / Avg: 10300.04 / Max: 10449.4

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600SE +/- 3.11, N = 3559.05544.98565.60
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500Min: 540.08 / Avg: 544.98 / Max: 550.76

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 49.80, N = 38944.758719.759049.54
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309016003200480064008000Min: 8641.35 / Avg: 8719.75 / Max: 8812.16

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 4.06, N = 5384.84376.77381.69
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 361.72 / Avg: 376.77 / Max: 383.19

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309013002600390052006500SE +/- 65.03, N = 56157.366028.376107.07
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309011002200330044005500Min: 5787.48 / Avg: 6028.37 / Max: 6130.99

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 5.27, N = 3602.09595.52599.52
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 585 / Avg: 595.52 / Max: 601.31

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 309013002600390052006500SE +/- 54.90, N = 36274.526206.046247.74
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 309011002200330044005500Min: 6096.43 / Avg: 6206.04 / Max: 6266.36

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600SE +/- 5.24, N = 3561.32563.05560.03
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500Min: 552.71 / Avg: 563.05 / Max: 569.73

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 309013002600390052006500SE +/- 54.66, N = 35849.685867.725836.22
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 309010002000300040005000Min: 5759.91 / Avg: 5867.72 / Max: 5937.31

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 1.60, N = 3514.93515.78521.09
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 512.64 / Avg: 515.78 / Max: 517.87

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309012002400360048006000SE +/- 16.63, N = 35366.185374.985430.39
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30909001800270036004500Min: 5342.33 / Avg: 5374.98 / Max: 5396.78

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450SE +/- 2.99, N = 3396.74390.64391.63
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 384.67 / Avg: 390.64 / Max: 393.92

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30909001800270036004500SE +/- 31.15, N = 34134.494070.884081.30
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30907001400210028003500Min: 4008.69 / Avg: 4070.88 / Max: 4105.08

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 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.32, N = 3353.89353.33354.46
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 3090NVIDIA RTX 3090NVIDIA 309060120180240300Min: 352.7 / Avg: 353.33 / Max: 353.65

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 0.28Backend: OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 30905K10K15K20K25KSE +/- 98.83, N = 32273922711230291. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KMin: 22555 / Avg: 22710.67 / Max: 228941. (CXX) g++ options: -flto -pthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3090NVIDIA RTX 3090NVIDIA 30900.86471.72942.59413.45884.3235SE +/- 0.013, N = 33.8433.6943.6271. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 3.68 / Avg: 3.69 / Max: 3.721. (CXX) g++ options: -O2 -lOpenCL

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 30900.33410.66821.00231.33641.6705SE +/- 0.006, N = 31.4701.4701.4851. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 1.46 / Avg: 1.47 / Max: 1.481. (CXX) g++ options: -rdynamic

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.03, N = 311.5711.61MIN: 11.39 / MAX: 11.73MIN: 11.41 / MAX: 11.72
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215Min: 11.53 / Avg: 11.57 / Max: 11.62

Scene: DLSC - Acceleration: GPU

RTX 3090: Test failed to run.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.08, N = 39.189.209.01MIN: 3.53 / MAX: 10.86MIN: 3.03 / MAX: 10.91MIN: 3.3 / MAX: 10.77
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 30903691215Min: 9.04 / Avg: 9.2 / Max: 9.32

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.10, N = 310.4510.4110.43MIN: 8.53 / MAX: 13.8MIN: 8.47 / MAX: 13.76MIN: 8.54 / MAX: 13.75
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 30903691215Min: 10.23 / Avg: 10.41 / Max: 10.56

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.01, N = 311.2011.22MIN: 3.54 / MAX: 13.16MIN: 3.57 / MAX: 13.17
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215Min: 11.18 / Avg: 11.2 / Max: 11.22

Scene: LuxCore Benchmark - Acceleration: GPU

RTX 3090: [LuxCore][5.612] PhotonGI estimated current indirect photon error: 23.06%

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 3090816243240SE +/- 0.21, N = 332.3332.6032.25MIN: 30.03 / MAX: 34.38MIN: 30.12 / MAX: 34.6MIN: 29.03 / MAX: 34.55
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 3090714212835Min: 32.39 / Avg: 32.6 / Max: 33.02

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 3090246810SE +/- 0.004, N = 36.2596.2586.2561. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 30903691215Min: 6.25 / Avg: 6.26 / Max: 6.261. (CXX) g++ options: -O3 -march=native -fopenmp

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYRTX 3090NVIDIA RTX 3090NVIDIA 30901530456075SE +/- 0.09, N = 366.165.565.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYRTX 3090NVIDIA RTX 3090NVIDIA 30901326395265Min: 65.3 / Avg: 65.47 / Max: 65.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.68, N = 399.698.298.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 96.9 / Avg: 98.2 / Max: 99.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTRTX 3090NVIDIA RTX 3090NVIDIA 3090306090120150SE +/- 0.67, N = 31401371371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTRTX 3090NVIDIA RTX 3090NVIDIA 3090306090120150Min: 136 / Avg: 137.33 / Max: 1381. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYRTX 3090NVIDIA RTX 3090NVIDIA 3090612182430SE +/- 0.00, N = 323.323.223.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYRTX 3090NVIDIA RTX 3090NVIDIA 3090510152025Min: 23.2 / Avg: 23.2 / Max: 23.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090816243240SE +/- 0.00, N = 334.934.734.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090714212835Min: 34.7 / Avg: 34.7 / Max: 34.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTRTX 3090NVIDIA RTX 3090NVIDIA 30901020304050SE +/- 0.42, N = 342.441.642.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTRTX 3090NVIDIA RTX 3090NVIDIA 3090918273645Min: 40.8 / Avg: 41.6 / Max: 42.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NRTX 3090NVIDIA RTX 3090NVIDIA 30901530456075SE +/- 0.17, N = 368.167.167.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NRTX 3090NVIDIA RTX 3090NVIDIA 30901326395265Min: 66.9 / Avg: 67.07 / Max: 67.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.36, N = 376.175.575.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TRTX 3090NVIDIA RTX 3090NVIDIA 30901530456075Min: 74.8 / Avg: 75.5 / Max: 761. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.18, N = 381.581.982.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNRTX 3090NVIDIA RTX 3090NVIDIA 30901632486480Min: 81.6 / Avg: 81.87 / Max: 82.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.12, N = 388.484.486.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 84.2 / Avg: 84.37 / Max: 84.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.32, N = 393.892.592.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 92.1 / Avg: 92.47 / Max: 93.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.26, N = 391.990.790.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100Min: 90.3 / Avg: 90.73 / Max: 91.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.88, N = 33683643641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 363 / Avg: 364.33 / Max: 3661. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 0.33, N = 35035015001. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450Min: 500 / Avg: 500.67 / Max: 5011. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.58, N = 33753713711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 370 / Avg: 371 / Max: 3721. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 0.33, N = 36066056081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 604 / Avg: 604.67 / Max: 6051. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090160320480640800SE +/- 0.00, N = 37227227231. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650Min: 722 / Avg: 722 / Max: 7221. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 0.58, N = 36606576371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3090NVIDIA RTX 3090NVIDIA 3090120240360480600Min: 656 / Avg: 657 / Max: 6581. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3090NVIDIA RTX 3090NVIDIA 309050100150200250SE +/- 0.33, N = 32392402371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3090NVIDIA RTX 3090NVIDIA 30904080120160200Min: 239 / Avg: 239.67 / Max: 2401. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.33, N = 33773773771. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350Min: 376 / Avg: 376.67 / Max: 3771. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3090NVIDIA RTX 3090NVIDIA 30901302603905206506016006041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 1.67, N = 36046056061. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 602 / Avg: 605.33 / Max: 6071. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 1.33, N = 35996016021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550Min: 598 / Avg: 600.67 / Max: 6021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090NVIDIA RTX 3090NVIDIA 30901302603905206506026016051. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

RTX 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

NVIDIA RTX 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

NVIDIA 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

RTX 3090: @ 0x7f673b18935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7ff1662db35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fa229dc935f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

RTX 3090: @ 0x7ff7c4d3335f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7efc6619835f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f70627d835f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

RTX 3090: @ 0x7f2baa38435f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fa1401b935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f06ca10535f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

RTX 3090: @ 0x7fcf7a66c35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fc8cad7235f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fc82391235f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

RTX 3090: @ 0x7f07fc1da35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fe536ef535f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fcccd8ca35f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

RTX 3090: @ 0x7f9e6bb6a35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7f9599f2935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f1a673f235f google::LogMessageFatal::~LogMessageFatal()

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 20210720Target: Vulkan GPU - Model: mobilenetRTX 3090NVIDIA RTX 3090NVIDIA 30900.9631.9262.8893.8524.815SE +/- 0.01, N = 34.284.224.23MIN: 4.15 / MAX: 15.44MIN: 4.13 / MAX: 4.48MIN: 4.16 / MAX: 4.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenetRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 4.2 / Avg: 4.22 / Max: 4.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 30900.44550.8911.33651.7822.2275SE +/- 0.00, N = 31.981.971.97MIN: 1.94 / MAX: 6.06MIN: 1.94 / MAX: 3.15MIN: 1.94 / MAX: 2.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 1.97 / Avg: 1.97 / Max: 1.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3090NVIDIA RTX 3090NVIDIA 30900.71331.42662.13992.85323.5665SE +/- 0.00, N = 33.172.242.24MIN: 2.21 / MAX: 20.43MIN: 2.21 / MAX: 3.37MIN: 2.21 / MAX: 4.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 2.24 / Avg: 2.24 / Max: 2.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 30900.43650.8731.30951.7462.1825SE +/- 0.00, N = 31.941.801.80MIN: 1.78 / MAX: 2.28MIN: 1.76 / MAX: 3MIN: 1.77 / MAX: 2.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 1.8 / Avg: 1.8 / Max: 1.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetRTX 3090NVIDIA RTX 3090NVIDIA 30900.4680.9361.4041.8722.34SE +/- 0.01, N = 32.082.082.08MIN: 2.06 / MAX: 2.29MIN: 2.05 / MAX: 3.23MIN: 2.06 / MAX: 2.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 2.07 / Avg: 2.08 / Max: 2.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0RTX 3090NVIDIA RTX 3090NVIDIA 30900.76951.5392.30853.0783.8475SE +/- 0.00, N = 33.263.253.42MIN: 3.23 / MAX: 3.42MIN: 3.22 / MAX: 4.42MIN: 3.24 / MAX: 4.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0RTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 3.25 / Avg: 3.25 / Max: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceRTX 3090NVIDIA RTX 3090NVIDIA 30900.23850.4770.71550.9541.1925SE +/- 0.00, N = 31.061.031.05MIN: 1.02 / MAX: 2.12MIN: 1 / MAX: 2.07MIN: 1.01 / MAX: 2.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 1.03 / Avg: 1.03 / Max: 1.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetRTX 3090NVIDIA RTX 3090NVIDIA 3090246810SE +/- 0.26, N = 35.856.075.75MIN: 3.71 / MAX: 29.49MIN: 3.71 / MAX: 31.52MIN: 3.72 / MAX: 311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetRTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 5.75 / Avg: 6.07 / Max: 6.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16RTX 3090NVIDIA RTX 3090NVIDIA 30900.94051.8812.82153.7624.7025SE +/- 0.02, N = 34.174.184.17MIN: 4.12 / MAX: 4.86MIN: 4.12 / MAX: 11.44MIN: 4.13 / MAX: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16RTX 3090NVIDIA RTX 3090NVIDIA 3090246810Min: 4.16 / Avg: 4.18 / Max: 4.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18RTX 3090NVIDIA RTX 3090NVIDIA 30900.38250.7651.14751.531.9125SE +/- 0.00, N = 31.671.671.70MIN: 1.64 / MAX: 1.9MIN: 1.64 / MAX: 4.75MIN: 1.65 / MAX: 9.46