nvidia geforce gtx 3090

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3801 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 20.04 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 2110106-TJ-NVIDIAGEF27
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NVIDIA GPU Compute 19 Tests
OpenCL 3 Tests
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Renderers 4 Tests
Server CPU Tests 2 Tests
Vulkan Compute 6 Tests
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RTX 3090
October 10
  1 Hour, 40 Minutes
NVIDIA RTX 3090
October 10
  1 Hour, 38 Minutes
NVIDIA 3090
October 10
  1 Hour, 37 Minutes
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nvidia geforce gtx 3090OpenBenchmarking.orgPhoronix Test Suite 10.6.1AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3801 BIOS)AMD Starship/Matisse16GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBNVIDIA GeForce RTX 3090 24GBNVIDIA Device 1aefASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.045.11.0-37-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.11NVIDIA 470.744.6.0OpenCL 3.0 CUDA 11.4.1361.2.175GCC 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNvidia Geforce Gtx 3090 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 ondemand (Boost: Enabled) - CPU Microcode: 0xa201016 - BAR1 / Visible vRAM Size: 32768 MiB- GPU Compute Cores: 10496- 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 10.6.1100%103%106%108%111%LuxCoreRenderRodiniaVkFFTNAMD CUDALeelaChessZeroChaos Group V-RAYNCNNvkpeakclpeakWaifu2x-NCNN VulkanRealSR-NCNNHashcatVkResampleIndigoBenchBlenderOctaneBench

nvidia geforce gtx 3090vkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: 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 + XTSnamd-cuda: ATPase Simulation - 327,506 Atomsvkresample: 2x - Doublevkresample: 2x - Singleoctanebench: Total Scorelczero: OpenCLrodinia: OpenCL Particle Filterluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUncnn: 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_400mindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarblender: 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 OptiXclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthv-ray: NVIDIA RTX GPUv-ray: NVIDIA CUDA GPURTX 3090NVIDIA RTX 3090NVIDIA 309021269.9427834.4620837.2340532.05653.35653.3620921.720823.9413703.7916879.665.56828.6333.292450267140850000022759500000111760028926000008330000.12509118.8399.27681.351647381873.8998.8710.4332.123.991.842.061.651.923.160.884.084.021.511.743.45.824.072.3620.94553.42118.2751.1934.5373.219.4328.3718.96319.32120.1743.4617724.7635194.13658.34813.442954211220966.827594.3320671.1740244.66648.46648.5620611.0420515.1513602.3516878.695.6128.573.294452197119760000022707600000111340028856000008279000.12079119.3949.27681.698681384113.65711.518.6410.4410.8832.1441.822.071.651.923.080.884.284.071.511.753.425.814.132.3720.85653.39918.3251.1934.48373.989.5228.5218.98316.96120.1143.4917769.3735225.4656.64813.292915211320876.7327386.120713.1640254.46648.73651.0420684.9120596.8313655.316877.925.59628.7023.313429147117580000022752700000111300028854000008270000.12013119.4699.282681.48524387783.67511.498.8610.3910.9132.083.991.812.081.651.923.110.873.764.021.531.763.415.833.982.3720.86153.3818.3151.2234.47373.649.5928.2919.02315.92120.0443.5218468.7635225.4653.66813.442934OpenBenchmarking.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-scalarNVIDIA 3090NVIDIA RTX 3090RTX 30905K10K15K20K25K20876.7320966.8021269.94

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4NVIDIA 3090NVIDIA RTX 3090RTX 30906K12K18K24K30K27386.1027594.3327834.46

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarNVIDIA 3090NVIDIA RTX 3090RTX 30904K8K12K16K20K20713.1620671.1720837.23

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4NVIDIA 3090NVIDIA RTX 3090RTX 30909K18K27K36K45K40254.4640244.6640532.05

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarNVIDIA 3090NVIDIA RTX 3090RTX 3090140280420560700648.73648.46653.35

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4NVIDIA 3090NVIDIA RTX 3090RTX 3090140280420560700651.04648.56653.36

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarNVIDIA 3090NVIDIA RTX 3090RTX 30904K8K12K16K20K20684.9120611.0420921.70

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4NVIDIA 3090NVIDIA RTX 3090RTX 30904K8K12K16K20K20596.8320515.1520823.94

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarNVIDIA 3090NVIDIA RTX 3090RTX 30903K6K9K12K15K13655.3013602.3513703.79

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4NVIDIA 3090NVIDIA RTX 3090RTX 30904K8K12K16K20K16877.9216878.6916879.66

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: NoNVIDIA 3090NVIDIA RTX 3090RTX 30901.26232.52463.78695.04926.31155.5965.6105.568

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesNVIDIA 3090NVIDIA RTX 3090RTX 309071421283528.7028.5728.63

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: YesNVIDIA 3090NVIDIA RTX 3090RTX 30900.74541.49082.23622.98163.7273.3133.2943.292

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 1.1.1NVIDIA 3090NVIDIA RTX 3090RTX 309010K20K30K40K50K4291445219450261. (CXX) g++ options: -O3 -pthread

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: MD5NVIDIA 3090NVIDIA RTX 3090RTX 309015000M30000M45000M60000M75000M711758000007119760000071408500000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1NVIDIA 3090NVIDIA RTX 3090RTX 30905000M10000M15000M20000M25000M227527000002270760000022759500000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipNVIDIA 3090NVIDIA RTX 3090RTX 3090200K400K600K800K1000K111300011134001117600

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512NVIDIA 3090NVIDIA RTX 3090RTX 3090600M1200M1800M2400M3000M288540000028856000002892600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSNVIDIA 3090NVIDIA RTX 3090RTX 3090200K400K600K800K1000K827000827900833000

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 AtomsNVIDIA 3090NVIDIA RTX 3090RTX 30900.02810.05620.08430.11240.14050.120130.120790.12509

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: DoubleNVIDIA 3090NVIDIA RTX 3090RTX 3090306090120150119.47119.39118.841. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleNVIDIA 3090NVIDIA RTX 3090RTX 309036912159.2829.2709.2701. (CXX) g++ options: -O3 -pthread

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 ScoreNVIDIA 3090NVIDIA RTX 3090RTX 3090150300450600750681.49681.70681.35

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.

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: OpenCLNVIDIA 3090NVIDIA RTX 3090RTX 30908K16K24K32K40K3877838411381871. (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 FilterNVIDIA 3090NVIDIA RTX 3090RTX 30900.87731.75462.63193.50924.38653.6753.6573.8991. (CXX) g++ options: -O2 -lOpenCL

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 3090NVIDIA RTX 3090369121511.4911.51MIN: 11.32 / MAX: 11.65MIN: 11.34 / MAX: 11.73

Scene: DLSC - Acceleration: GPU

RTX 3090: Test failed to run.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUNVIDIA 3090NVIDIA RTX 3090RTX 30902468108.868.648.87MIN: 3.14 / MAX: 10.64MIN: 2.95 / MAX: 10.51MIN: 2.82 / MAX: 10.7

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUNVIDIA 3090NVIDIA RTX 3090RTX 3090369121510.3910.4410.43MIN: 8.51 / MAX: 13.72MIN: 8.53 / MAX: 13.75MIN: 8.49 / MAX: 13.69

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA 3090NVIDIA RTX 3090369121510.9110.88MIN: 3.28 / MAX: 12.93MIN: 3.26 / MAX: 12.95

Scene: LuxCore Benchmark - Acceleration: GPU

RTX 3090: [LuxCore][6.234] PhotonGI estimated current indirect photon error: 24.92%

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUNVIDIA 3090NVIDIA RTX 3090RTX 309071421283532.0832.1432.12MIN: 28.9 / MAX: 34.38MIN: 28.98 / MAX: 34.49MIN: 28.98 / MAX: 34.48

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

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: mobilenetNVIDIA 3090NVIDIA RTX 3090RTX 30900.91.82.73.64.53.994.003.99MIN: 3.94 / MAX: 4.08MIN: 3.97 / MAX: 4.08MIN: 3.96 / MAX: 4.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2NVIDIA 3090NVIDIA RTX 3090RTX 30900.4140.8281.2421.6562.071.811.821.84MIN: 1.8 / MAX: 2.89MIN: 1.79 / MAX: 4.8MIN: 1.79 / MAX: 8.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3NVIDIA 3090NVIDIA RTX 3090RTX 30900.4680.9361.4041.8722.342.082.072.06MIN: 2.05 / MAX: 4.81MIN: 2.05 / MAX: 2.77MIN: 2.05 / MAX: 2.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2NVIDIA 3090NVIDIA RTX 3090RTX 30900.37130.74261.11391.48521.85651.651.651.65MIN: 1.64 / MAX: 1.93MIN: 1.64 / MAX: 1.8MIN: 1.62 / MAX: 2.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetNVIDIA 3090NVIDIA RTX 3090RTX 30900.4320.8641.2961.7282.161.921.921.92MIN: 1.91 / MAX: 2.08MIN: 1.91 / MAX: 2.38MIN: 1.9 / MAX: 2.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0NVIDIA 3090NVIDIA RTX 3090RTX 30900.7111.4222.1332.8443.5553.113.083.16MIN: 3.07 / MAX: 4.83MIN: 3.06 / MAX: 4.83MIN: 3.14 / MAX: 3.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceNVIDIA 3090NVIDIA RTX 3090RTX 30900.1980.3960.5940.7920.990.870.880.88MIN: 0.86 / MAX: 1.66MIN: 0.85 / MAX: 2.01MIN: 0.86 / MAX: 1.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetNVIDIA 3090NVIDIA RTX 3090RTX 30900.9631.9262.8893.8524.8153.764.284.08MIN: 3.59 / MAX: 14.98MIN: 3.58 / MAX: 14.87MIN: 3.58 / MAX: 14.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16NVIDIA 3090NVIDIA RTX 3090RTX 30900.91581.83162.74743.66324.5794.024.074.02MIN: 3.99 / MAX: 4.08MIN: 3.99 / MAX: 7.78MIN: 3.97 / MAX: 8.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18NVIDIA 3090NVIDIA RTX 3090RTX 30900.34430.68861.03291.37721.72151.531.511.51MIN: 1.51 / MAX: 1.73MIN: 1.5 / MAX: 1.78MIN: 1.5 / MAX: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetNVIDIA 3090NVIDIA RTX 3090RTX 30900.3960.7921.1881.5841.981.761.751.74MIN: 1.73 / MAX: 1.93MIN: 1.73 / MAX: 1.94MIN: 1.73 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50NVIDIA 3090NVIDIA RTX 3090RTX 30900.76951.5392.30853.0783.84753.413.423.40MIN: 3.4 / MAX: 3.49MIN: 3.4 / MAX: 4.81MIN: 3.38 / MAX: 4.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyNVIDIA 3090NVIDIA RTX 3090RTX 30901.31182.62363.93545.24726.5595.835.815.82MIN: 5.58 / MAX: 6.3MIN: 5.6 / MAX: 6.19MIN: 5.61 / MAX: 6.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA 3090NVIDIA RTX 3090RTX 30900.92931.85862.78793.71724.64653.984.134.07MIN: 3.9 / MAX: 4.14MIN: 3.89 / MAX: 5.39MIN: 3.86 / MAX: 7.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mNVIDIA 3090NVIDIA RTX 3090RTX 30900.53331.06661.59992.13322.66652.372.372.36MIN: 2.35 / MAX: 2.95MIN: 2.35 / MAX: 3.53MIN: 2.35 / MAX: 2.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomNVIDIA 3090NVIDIA RTX 3090RTX 309051015202520.8620.8620.95

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarNVIDIA 3090NVIDIA RTX 3090RTX 3090122436486053.3853.4053.42

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: CUDANVIDIA 3090NVIDIA RTX 3090RTX 309051015202518.3118.3218.27

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDANVIDIA 3090NVIDIA RTX 3090RTX 3090122436486051.2251.1951.19

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDANVIDIA 3090NVIDIA RTX 3090RTX 309081624324034.4734.4834.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDANVIDIA 3090NVIDIA RTX 3090RTX 309080160240320400373.64373.98373.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 309036912159.599.529.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 309071421283528.2928.5228.37

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 309051015202519.0218.9818.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 309070140210280350315.92316.96319.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDANVIDIA 3090NVIDIA RTX 3090RTX 3090306090120150120.04120.11120.17

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 3090102030405043.5243.4943.46

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTNVIDIA 3090NVIDIA RTX 3090RTX 30904K8K12K16K20K18468.7617769.3717724.761. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatNVIDIA 3090NVIDIA RTX 3090RTX 30908K16K24K32K40K35225.4035225.4035194.131. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleNVIDIA 3090NVIDIA RTX 3090RTX 3090140280420560700653.66656.64658.341. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthNVIDIA 3090NVIDIA RTX 3090RTX 30902004006008001000813.44813.29813.441. (CXX) g++ options: -O3 -rdynamic -lOpenCL

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

Acceleration: GPU

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

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.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPUNVIDIA 3090NVIDIA RTX 3090RTX 30906001200180024003000293429152954

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUNVIDIA RTX 3090RTX 3090500100015002000250021132112