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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CPU Massive 4 Tests
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NVIDIA GPU Compute 19 Tests
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Renderers 4 Tests
Server CPU Tests 2 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-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30905K10K15K20K25K21269.9420966.8020876.73

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30906K12K18K24K30K27834.4627594.3327386.10

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20K20837.2320671.1720713.16

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30909K18K27K36K45K40532.0540244.6640254.46

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700653.35648.46648.73

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700653.36648.56651.04

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20K20921.7020611.0420684.91

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20K20823.9420515.1520596.83

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090NVIDIA RTX 3090NVIDIA 30903K6K9K12K15K13703.7913602.3513655.30

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20K16879.6616878.6916877.92

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 30901.26232.52463.78695.04926.31155.5685.6105.596

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090NVIDIA RTX 3090NVIDIA 309071421283528.6328.5728.70

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 30900.74541.49082.23622.98163.7273.2923.2943.313

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 309010K20K30K40K50K4502645219429141. (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: MD5RTX 3090NVIDIA RTX 3090NVIDIA 309015000M30000M45000M60000M75000M714085000007119760000071175800000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090NVIDIA RTX 3090NVIDIA 30905000M10000M15000M20000M25000M227595000002270760000022752700000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000K111760011134001113000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090NVIDIA RTX 3090NVIDIA 3090600M1200M1800M2400M3000M289260000028856000002885400000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000K833000827900827000

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 30900.02810.05620.08430.11240.14050.125090.120790.12013

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 3090306090120150118.84119.39119.471. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090NVIDIA RTX 3090NVIDIA 309036912159.2709.2709.2821. (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 ScoreRTX 3090NVIDIA RTX 3090NVIDIA 3090150300450600750681.35681.70681.49

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: OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 30908K16K24K32K40K3818738411387781. (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 30900.87731.75462.63193.50924.38653.8993.6573.6751. (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 RTX 3090NVIDIA 3090369121511.5111.49MIN: 11.34 / MAX: 11.73MIN: 11.32 / MAX: 11.65

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 30902468108.878.648.86MIN: 2.82 / MAX: 10.7MIN: 2.95 / MAX: 10.51MIN: 3.14 / MAX: 10.64

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPURTX 3090NVIDIA RTX 3090NVIDIA 3090369121510.4310.4410.39MIN: 8.49 / MAX: 13.69MIN: 8.53 / MAX: 13.75MIN: 8.51 / MAX: 13.72

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA RTX 3090NVIDIA 3090369121510.8810.91MIN: 3.26 / MAX: 12.95MIN: 3.28 / MAX: 12.93

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: GPURTX 3090NVIDIA RTX 3090NVIDIA 309071421283532.1232.1432.08MIN: 28.98 / MAX: 34.48MIN: 28.98 / MAX: 34.49MIN: 28.9 / MAX: 34.38

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: mobilenetRTX 3090NVIDIA RTX 3090NVIDIA 30900.91.82.73.64.53.994.003.99MIN: 3.96 / MAX: 4.12MIN: 3.97 / MAX: 4.08MIN: 3.94 / MAX: 4.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 30900.4140.8281.2421.6562.071.841.821.81MIN: 1.79 / MAX: 8.41MIN: 1.79 / MAX: 4.8MIN: 1.8 / MAX: 2.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3090NVIDIA RTX 3090NVIDIA 30900.4680.9361.4041.8722.342.062.072.08MIN: 2.05 / MAX: 2.57MIN: 2.05 / MAX: 2.77MIN: 2.05 / MAX: 4.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2RTX 3090NVIDIA RTX 3090NVIDIA 30900.37130.74261.11391.48521.85651.651.651.65MIN: 1.62 / MAX: 2.38MIN: 1.64 / MAX: 1.8MIN: 1.64 / MAX: 1.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetRTX 3090NVIDIA RTX 3090NVIDIA 30900.4320.8641.2961.7282.161.921.921.92MIN: 1.9 / MAX: 2.11MIN: 1.91 / MAX: 2.38MIN: 1.91 / MAX: 2.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0RTX 3090NVIDIA RTX 3090NVIDIA 30900.7111.4222.1332.8443.5553.163.083.11MIN: 3.14 / MAX: 3.41MIN: 3.06 / MAX: 4.83MIN: 3.07 / MAX: 4.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceRTX 3090NVIDIA RTX 3090NVIDIA 30900.1980.3960.5940.7920.990.880.880.87MIN: 0.86 / MAX: 1.89MIN: 0.85 / MAX: 2.01MIN: 0.86 / MAX: 1.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetRTX 3090NVIDIA RTX 3090NVIDIA 30900.9631.9262.8893.8524.8154.084.283.76MIN: 3.58 / MAX: 14.49MIN: 3.58 / MAX: 14.87MIN: 3.59 / MAX: 14.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16RTX 3090NVIDIA RTX 3090NVIDIA 30900.91581.83162.74743.66324.5794.024.074.02MIN: 3.97 / MAX: 8.5MIN: 3.99 / MAX: 7.78MIN: 3.99 / MAX: 4.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18RTX 3090NVIDIA RTX 3090NVIDIA 30900.34430.68861.03291.37721.72151.511.511.53MIN: 1.5 / MAX: 1.7MIN: 1.5 / MAX: 1.78MIN: 1.51 / MAX: 1.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetRTX 3090NVIDIA RTX 3090NVIDIA 30900.3960.7921.1881.5841.981.741.751.76MIN: 1.73 / MAX: 1.9MIN: 1.73 / MAX: 1.94MIN: 1.73 / MAX: 1.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50RTX 3090NVIDIA RTX 3090NVIDIA 30900.76951.5392.30853.0783.84753.403.423.41MIN: 3.38 / MAX: 4.81MIN: 3.4 / MAX: 4.81MIN: 3.4 / MAX: 3.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyRTX 3090NVIDIA RTX 3090NVIDIA 30901.31182.62363.93545.24726.5595.825.815.83MIN: 5.61 / MAX: 6.16MIN: 5.6 / MAX: 6.19MIN: 5.58 / MAX: 6.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdRTX 3090NVIDIA RTX 3090NVIDIA 30900.92931.85862.78793.71724.64654.074.133.98MIN: 3.86 / MAX: 7.27MIN: 3.89 / MAX: 5.39MIN: 3.9 / MAX: 4.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mRTX 3090NVIDIA RTX 3090NVIDIA 30900.53331.06661.59992.13322.66652.362.372.37MIN: 2.35 / MAX: 2.52MIN: 2.35 / MAX: 3.53MIN: 2.35 / MAX: 2.951. (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: BedroomRTX 3090NVIDIA RTX 3090NVIDIA 309051015202520.9520.8620.86

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3090NVIDIA RTX 3090NVIDIA 3090122436486053.4253.4053.38

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: CUDARTX 3090NVIDIA RTX 3090NVIDIA 309051015202518.2718.3218.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDARTX 3090NVIDIA RTX 3090NVIDIA 3090122436486051.1951.1951.22

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDARTX 3090NVIDIA RTX 3090NVIDIA 309081624324034.5034.4834.47

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDARTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400373.21373.98373.64

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3090NVIDIA RTX 3090NVIDIA 309036912159.439.529.59

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXRTX 3090NVIDIA RTX 3090NVIDIA 309071421283528.3728.5228.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3090NVIDIA RTX 3090NVIDIA 309051015202518.9618.9819.02

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXRTX 3090NVIDIA RTX 3090NVIDIA 309070140210280350319.32316.96315.92

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDARTX 3090NVIDIA RTX 3090NVIDIA 3090306090120150120.17120.11120.04

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3090NVIDIA RTX 3090NVIDIA 3090102030405043.4643.4943.52

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 INTRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20K17724.7617769.3718468.761. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3090NVIDIA RTX 3090NVIDIA 30908K16K24K32K40K35194.1335225.4035225.401. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700658.34656.64653.661. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3090NVIDIA RTX 3090NVIDIA 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 GPURTX 3090NVIDIA RTX 3090NVIDIA 30906001200180024003000295429152934

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPURTX 3090NVIDIA RTX 3090500100015002000250021122113