Linux GPU Compute

Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1601 BIOS) and NVIDIA GeForce RTX 3070 Ti 8GB on Ubuntu 22.04 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 2208115-NE-GPUCOMPUT74
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
RTX 3060
July 10 2022
  3 Hours, 51 Minutes
RTX 3060 Ti
July 12 2022
  3 Hours, 39 Minutes
RTX 3070
July 12 2022
  3 Hours, 20 Minutes
RTX 3070 Ti
July 12 2022
  3 Hours, 17 Minutes
RTX 3080
July 12 2022
  3 Hours, 14 Minutes
RTX 3080 Ti
July 12 2022
  3 Hours, 43 Minutes
RTX 3090
July 08 2022
  3 Hours, 39 Minutes
Invert Behavior (Only Show Selected Data)
  3 Hours, 32 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Linux GPU ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1601 BIOS)Intel Alder Lake-S PCH32GB1000GB Western Digital WDS100T1X0E-00AFY0eVGA NVIDIA GeForce RTX 3060 12GBIntel Alder Lake-S HD AudioASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.045.18.0-051800-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3NVIDIA 515.49.064.6.0OpenCL 3.0 CUDA 11.7.991.3.217GCC 11.2.0ext43840x21601000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 3070 8GBNVIDIA GeForce RTX 3070 Ti 8GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 3080 Ti 12GBIntel Device 7aa7NVIDIA GeForce RTX 3090 24GBIntel Device 7ad0OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/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 Processor Details- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x1f - Thermald 2.4.9Graphics Details- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46- RTX 3060 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2c- RTX 3070: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2b- RTX 3070 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.5b.00.02- RTX 3080: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.20.00.07- RTX 3080 Ti: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.71.00.01- RTX 3090: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.27.00.02OpenCL Details- RTX 3060: GPU Compute Cores: 3584- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3070: GPU Compute Cores: 5888- RTX 3070 Ti: GPU Compute Cores: 6144- RTX 3080: GPU Compute Cores: 8704- RTX 3080 Ti: GPU Compute Cores: 10240- RTX 3090: GPU Compute Cores: 10496Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected Python Details- RTX 3090: Python 3.10.4

RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090Result OverviewPhoronix Test Suite100%151%202%253%303%vkpeakHashcatVkResampleLuxCoreRenderLeelaChessZeroChaos Group V-RAYMandelGPUOctaneBenchIndigoBenchFinanceBenchRealSR-NCNNcl-memFAHBenchViennaCLclpeakSHOC Scalable HeterOgeneous ComputingDarktableRodiniaWaifu2x-NCNN VulkanJuliaGPUSmallPT GPU

RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090Logarithmic Per Watt Result OverviewPhoronix Test SuiteMeta Performance Per WattsSmallPT GPUJuliaGPUSHOC Scalable HeterOgeneous ComputingclpeakFAHBenchHashcatMandelGPUChaos Group V-RAYIndigoBenchLuxCoreRenderLeelaChessZeroOctaneBenchcl-memP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Linux GPU Computev-ray: NVIDIA RTX GPUv-ray: NVIDIA CUDA GPUcl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Kernel Latencyclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Transfer Bandwidth enqueueWriteBufferdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLfahbench: financebench: Monte-Carlo OpenCLfinancebench: Black-Scholes OpenCLhashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarjuliagpu: GPUlczero: OpenCLluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUmandelgpu: GPUoctanebench: Total Scorerealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesrodinia: OpenCL Myocyterodinia: OpenCL Particle Filtershoc: OpenCL - S3Dshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Reductionshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthsmallpt-gpu: GPU - Complexsmallpt-gpu: GPU - Cornellsmallpt-gpu: GPU - Caustic3viennacl: 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-TTvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4vkresample: 2x - Singlewaifu2x-ncnn: 2x - 3 - YesRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901163855270.3318.0299.93.776347.1412563.04212.04315.4318.2621.372.5732.6260.1261.865186.7246622.23199516.2444662488596666777354666674137899949833332876388.50725.928378413490.2251494.293.264.874.0513.50215226018.8294.86201910.45168.69228.5659.521171.94623.3524758.39715.1246307.5672778.3425.100226.35221269.691657619851165761998416576201262763072923163273312233042042042036808.219036.986820.2613484.60212.35210.826799.666769.024494.325955.7223.1844.89916321263297.3392.9385.93.818397.0416043.12305.24389.1518.1721.802.5712.6040.1221.857245.7954465.27842912.8503522180000010987733333578250141213333341794411.50434.081411524637.1373595.734.356.145.3918.07285067246.1387.1688678.32851.55527.6426.927212.47023.6890962.41721.5640325.4963435.6324.692726.35462137.681657660261165766039416576605362973583303723994022243352912922919750.7512877.559725.9019166.40304.18304.449705.339663.576413.898487.3517.6894.19017871416296.4392.9382.63.7510206.3420056.49361.76389.3918.1021.922.5782.6060.1261.847274.5694465.29671410.3794136915714312963333333669744166498333349377512.97037.394426397082.5403426.615.116.986.2220.33321865318.9417.9146857.79247.30128.1395.956219.10523.66171136.2625.3269327.4103802.5324.720526.35432150.1016576283591657628493165762863528535932836839740122233534034134011587.4115337.2611579.7122752.71361.35362.0211562.5911509.587639.1810095.6317.5584.02619901505338.6539.5518.03.7210945.9021518.74370.11529.2618.1821.772.5792.6050.1241.844275.1210474.0894349.7304267337142913271300000712544170406666750487813.79839.128427836038.7477537.005.427.216.6121.08329682482.6461.8634097.05741.32628.4045.771285.78724.03601292.0926.2134381.5594697.6724.712526.35462102.7916576703471657670481165767062433743737048252952723837134734834711705.3915490.3411766.5023227.90366.40367.8811695.9911651.047705.9310244.7513.5373.71824361788354.6673.3647.63.7815397.2729616.92545.58662.2518.1721.882.5772.6120.1261.849333.5891388.8207147.3525999948571418975633333976022242603333371207817.71846.999459314633.0561889.527.329.039.1426.54428359837.3574.8658836.01732.85327.9804.189338.68924.25061763.5837.5346390.6266356.2324.698126.35422227.5316576379191657638055165763819935947737555863260524337950450650250617334.5322809.3617271.0534090.93539.84539.1517172.3717105.4011320.9014594.4511.2723.33728402064356.2794.4738.83.8617218.7133795.91625.42794.6618.1321.892.5792.6180.1281.870345.5999326.0891426.68167689533333214214833331086667272865000080005020.28851.903472565820.36172610.988.4510.2310.5130.48461789875.5677.7082815.64129.81928.5583.757419.86724.38872016.8641.8720383.7127981.9024.701226.35392182.8916576487381657648873165764901735949236759170765423236956156355956519739.0326094.9719662.1038772.75614.23612.7819552.2219459.2712873.8416331.769.5703.26828692084357.8793.7730.24.0917830.0034509.53640.16795.9818.2621.361.1181.9210.1240.707353.4483325.2667156.38769887233333221008500001109178282036666779817520.68352.712492011904.26115111.288.5410.3410.8531.01501044446.7682.296815.58729.18528.9403.957429.42624.43672103.7343.5484389.5828197.2725.033026.35272246.0516573388921657339028165733917236249837460271764423537459259459059320867.7827459.9120781.4140968.90651.77653.3820754.4820669.2213699.5716879.069.4223.266OpenBenchmarking.org

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 5.02Mode: NVIDIA RTX GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30606001200180024003000SE +/- 4.93, N = 3SE +/- 6.17, N = 3SE +/- 4.91, N = 3SE +/- 1.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 1.67, N = 32869284024361990178716321163

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA CUDA GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060400800120016002000SE +/- 2.40, N = 3SE +/- 1.53, N = 3SE +/- 3.51, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3208420641788150514161263855

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 306080160240320400SE +/- 0.24, N = 9SE +/- 0.02, N = 10SE +/- 0.03, N = 9SE +/- 0.11, N = 9SE +/- 0.11, N = 8SE +/- 0.16, N = 8SE +/- 0.05, N = 7357.8356.2354.6338.6297.3296.4270.31. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30602004006008001000SE +/- 0.13, N = 10SE +/- 0.29, N = 9SE +/- 0.08, N = 9SE +/- 0.02, N = 9SE +/- 0.13, N = 8SE +/- 0.11, N = 8SE +/- 0.09, N = 7794.4793.7673.3539.5392.9392.9318.01. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 3060160320480640800SE +/- 0.10, N = 10SE +/- 0.77, N = 9SE +/- 0.09, N = 9SE +/- 0.04, N = 9SE +/- 0.05, N = 8SE +/- 0.06, N = 8SE +/- 0.04, N = 7738.8730.2647.6518.0385.9382.6299.91. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

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

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRTX 3070 TiRTX 3070RTX 3060RTX 3080RTX 3060 TiRTX 3080 TiRTX 30900.92031.84062.76093.68124.6015SE +/- 0.00, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 153.723.753.773.783.813.864.091. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 120.91, N = 13SE +/- 79.28, N = 12SE +/- 119.12, N = 15SE +/- 42.92, N = 13SE +/- 41.26, N = 13SE +/- 65.78, N = 15SE +/- 6.64, N = 1317830.0017218.7115397.2710945.9010206.348397.046347.141. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30607K14K21K28K35KSE +/- 35.71, N = 14SE +/- 46.12, N = 15SE +/- 43.31, N = 13SE +/- 1.58, N = 14SE +/- 12.68, N = 14SE +/- 35.84, N = 14SE +/- 11.99, N = 1434509.5333795.9129616.9221518.7420056.4916043.1212563.041. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060140280420560700SE +/- 1.62, N = 3SE +/- 2.30, N = 3SE +/- 1.73, N = 3SE +/- 0.96, N = 3SE +/- 1.02, N = 3SE +/- 0.47, N = 3SE +/- 0.85, N = 3640.16625.42545.58370.11361.76305.24212.041. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30602004006008001000SE +/- 0.22, N = 15SE +/- 0.04, N = 13SE +/- 0.03, N = 12SE +/- 0.03, N = 13SE +/- 0.13, N = 15SE +/- 0.02, N = 13SE +/- 0.00, N = 11795.98794.66662.25529.26389.39389.15315.431. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferRTX 3090RTX 3060RTX 3070 TiRTX 3080RTX 3060 TiRTX 3080 TiRTX 307048121620SE +/- 0.03, N = 8SE +/- 0.03, N = 5SE +/- 0.08, N = 8SE +/- 0.05, N = 5SE +/- 0.07, N = 8SE +/- 0.05, N = 5SE +/- 0.05, N = 818.2618.2618.1818.1718.1718.1318.101. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferRTX 3070RTX 3080 TiRTX 3080RTX 3060 TiRTX 3070 TiRTX 3060RTX 3090510152025SE +/- 0.07, N = 8SE +/- 0.08, N = 5SE +/- 0.10, N = 5SE +/- 0.06, N = 8SE +/- 0.06, N = 8SE +/- 0.06, N = 5SE +/- 0.08, N = 821.9221.8921.8821.8021.7721.3721.361. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Darktable

MinAvgMaxRTX 309030.4114.6232.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption Monitor60120180240300

MinAvgMaxRTX 309047.049.354.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1530456075

MinAvgMaxRTX 309029.588.7134.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption Monitor4080120160200

MinAvgMaxRTX 309044.045.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1428425670

MinAvgMaxRTX 309028.662.4102.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption Monitor20406080100

MinAvgMaxRTX 309040.042.044.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1224364860

MinAvgMaxRTX 309028.587.3142.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption Monitor4080120160200

MinAvgMaxRTX 309039.041.143.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1224364860

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: OpenCLRTX 3090RTX 3060 TiRTX 3060RTX 3080RTX 3070RTX 3070 TiRTX 3080 Ti0.58031.16061.74092.32122.9015SE +/- 0.006, N = 10SE +/- 0.010, N = 9SE +/- 0.008, N = 9SE +/- 0.011, N = 9SE +/- 0.016, N = 9SE +/- 0.013, N = 9SE +/- 0.009, N = 91.1182.5712.5732.5772.5782.5792.579

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: OpenCLRTX 3090RTX 3060 TiRTX 3070 TiRTX 3070RTX 3080RTX 3080 TiRTX 30600.59091.18181.77272.36362.9545SE +/- 0.005, N = 10SE +/- 0.005, N = 9SE +/- 0.008, N = 9SE +/- 0.006, N = 9SE +/- 0.007, N = 9SE +/- 0.010, N = 9SE +/- 0.008, N = 91.9212.6042.6052.6062.6122.6182.626

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: OpenCLRTX 3060 TiRTX 3070 TiRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 Ti0.02880.05760.08640.11520.144SE +/- 0.003, N = 15SE +/- 0.004, N = 15SE +/- 0.001, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 150.1220.1240.1240.1260.1260.1260.128

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: OpenCLRTX 3090RTX 3070 TiRTX 3070RTX 3080RTX 3060 TiRTX 3060RTX 3080 Ti0.42080.84161.26241.68322.104SE +/- 0.002, N = 12SE +/- 0.011, N = 10SE +/- 0.009, N = 10SE +/- 0.007, N = 10SE +/- 0.006, N = 10SE +/- 0.008, N = 10SE +/- 0.006, N = 100.7071.8441.8471.8491.8571.8651.870

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306080160240320400SE +/- 0.37, N = 3SE +/- 0.03, N = 3SE +/- 0.51, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3353.45345.60333.59275.12274.57245.80186.72

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: Monte-Carlo OpenCLRTX 3090RTX 3080 TiRTX 3080RTX 3060 TiRTX 3070RTX 3070 TiRTX 3060130260390520650SE +/- 0.69, N = 7SE +/- 0.41, N = 7SE +/- 0.29, N = 7SE +/- 0.34, N = 7SE +/- 0.28, N = 7SE +/- 0.04, N = 7SE +/- 0.29, N = 7325.27326.09388.82465.28465.30474.09622.231. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306048121620SE +/- 0.066100, N = 15SE +/- 0.074354, N = 15SE +/- 0.054610, N = 15SE +/- 0.004661, N = 14SE +/- 0.005828, N = 14SE +/- 0.000768, N = 15SE +/- 0.030644, N = 156.3870006.6810007.3520009.73000010.37900012.85000016.2444661. (CXX) g++ options: -O3 -march=native -fopenmp

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3090RTX 3080 Ti60120180240300Min: 18.7 / Avg: 88.76 / Max: 170.06Min: 9.47 / Avg: 107.18 / Max: 199.84Min: 8.61 / Avg: 115.13 / Max: 219.94Min: 13.41 / Avg: 151.19 / Max: 289.69Min: 8.28 / Avg: 188.35 / Max: 323.12Min: 26.71 / Avg: 190.85 / Max: 348.7Min: 13.97 / Avg: 211.78 / Max: 349.8

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 3060 TiRTX 3060RTX 3070RTX 3090RTX 3070 TiRTX 3080RTX 3080 Ti1428425670Min: 26 / Avg: 54.14 / Max: 70Min: 42 / Avg: 54.3 / Max: 65Min: 27 / Avg: 55.86 / Max: 72Min: 34 / Avg: 56.12 / Max: 68Min: 34 / Avg: 59.76 / Max: 75Min: 25 / Avg: 60.01 / Max: 73Min: 28 / Avg: 60.86 / Max: 75

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306015000M30000M45000M60000M75000MSE +/- 35085900.94, N = 6SE +/- 63727349.79, N = 6SE +/- 47721835.02, N = 7SE +/- 6723155.24, N = 7SE +/- 34107189.98, N = 7SE +/- 35135391.19, N = 7SE +/- 23113714.06, N = 669887233333676895333335999948571442673371429413691571433522180000024885966667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30605000M10000M15000M20000M25000MSE +/- 24085870.69, N = 6SE +/- 21246072.84, N = 6SE +/- 14809381.41, N = 6SE +/- 3912288.33, N = 6SE +/- 11473321.71, N = 6SE +/- 5257481.44, N = 6SE +/- 8351553.42, N = 62210085000021421483333189756333331327130000012963333333109877333337735466667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060200K400K600K800K1000KSE +/- 3011.22, N = 9SE +/- 955.83, N = 9SE +/- 612.10, N = 9SE +/- 348.45, N = 9SE +/- 1441.17, N = 9SE +/- 419.32, N = 10SE +/- 371.72, N = 911091781086667976022712544669744578250413789

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060600M1200M1800M2400M3000MSE +/- 2677519.58, N = 6SE +/- 2958462.44, N = 6SE +/- 3109197.82, N = 6SE +/- 313758.58, N = 6SE +/- 2532115.94, N = 6SE +/- 832532.95, N = 6SE +/- 1211725.12, N = 6282036666727286500002426033333170406666716649833331412133333994983333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060200K400K600K800K1000KSE +/- 757.11, N = 8SE +/- 2665.37, N = 8SE +/- 1903.85, N = 9SE +/- 1390.42, N = 9SE +/- 752.08, N = 8SE +/- 1142.14, N = 9SE +/- 2289.57, N = 8800050798175712078504878493775417944287638

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060510152025SE +/- 0.048, N = 3SE +/- 0.028, N = 3SE +/- 0.022, N = 3SE +/- 0.014, N = 3SE +/- 0.019, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 320.68320.28817.71813.79812.97011.5048.507

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30601224364860SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 352.7151.9047.0039.1337.3934.0825.93

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060110M220M330M440M550MSE +/- 2811742.88, N = 8SE +/- 2408858.67, N = 9SE +/- 2361749.05, N = 8SE +/- 3560374.60, N = 8SE +/- 3561096.98, N = 8SE +/- 1945793.57, N = 8SE +/- 642390.88, N = 8492011904.2472565820.3459314633.0427836038.7426397082.5411524637.1378413490.21. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

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 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306013K26K39K52K65KSE +/- 231.66, N = 3SE +/- 514.58, N = 3SE +/- 199.06, N = 3SE +/- 164.81, N = 3SE +/- 66.16, N = 3SE +/- 136.70, N = 3SE +/- 205.27, N = 3617266115156188477534034237359251491. (CXX) g++ options: -flto -pthread

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 2.6Scene: DLSC - Acceleration: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.2810.989.527.006.615.734.29MIN: 10.49 / MAX: 11.58MIN: 10.11 / MAX: 11.41MIN: 8.4 / MAX: 9.74MIN: 6.87 / MAX: 7.16MIN: 6.05 / MAX: 6.91MIN: 5.31 / MAX: 5.98MIN: 4.11 / MAX: 4.53

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060246810SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 12SE +/- 0.01, N = 3SE +/- 0.06, N = 4SE +/- 0.05, N = 3SE +/- 0.02, N = 158.548.457.325.425.114.353.26MIN: 2.14 / MAX: 10.54MIN: 2.17 / MAX: 10.28MIN: 1.64 / MAX: 9.08MIN: 1.62 / MAX: 6.55MIN: 1.22 / MAX: 6.27MIN: 1.49 / MAX: 5.3MIN: 0.87 / MAX: 3.88

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 5SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 310.3410.239.037.216.986.144.87MIN: 8.41 / MAX: 13.65MIN: 8.3 / MAX: 13.23MIN: 7.24 / MAX: 11.66MIN: 5.79 / MAX: 8.76MIN: 5.6 / MAX: 8.45MIN: 4.37 / MAX: 7.27MIN: 3.84 / MAX: 6.13

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.8510.519.146.616.225.394.05MIN: 3.57 / MAX: 12.86MIN: 2.79 / MAX: 12.46MIN: 2.47 / MAX: 10.83MIN: 2.19 / MAX: 7.8MIN: 2.17 / MAX: 7.35MIN: 1.78 / MAX: 6.36MIN: 1.14 / MAX: 4.78

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060714212835SE +/- 0.32, N = 6SE +/- 0.47, N = 15SE +/- 0.13, N = 6SE +/- 0.18, N = 5SE +/- 0.12, N = 5SE +/- 0.11, N = 5SE +/- 0.06, N = 431.0130.4826.5421.0820.3318.0713.50MIN: 28.41 / MAX: 33.92MIN: 4.31 / MAX: 33.71MIN: 23.12 / MAX: 29.17MIN: 19.53 / MAX: 22.8MIN: 18.07 / MAX: 21.88MIN: 15.25 / MAX: 19.46MIN: 12.02 / MAX: 14.47

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060110M220M330M440M550MSE +/- 1780706.00, N = 10SE +/- 1175920.80, N = 10SE +/- 572727.71, N = 10SE +/- 530024.12, N = 9SE +/- 422788.81, N = 9SE +/- 1279497.74, N = 8SE +/- 242876.80, N = 7501044446.7461789875.5428359837.3329682482.6321865318.9285067246.1215226018.81. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30602K4K6K8K10K9893.969408.698566.056518.356071.235548.851454.12

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060150300450600750682.30677.71574.87461.86417.91387.17294.86

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603691215SE +/- 0.014, N = 7SE +/- 0.012, N = 7SE +/- 0.012, N = 7SE +/- 0.008, N = 6SE +/- 0.006, N = 6SE +/- 0.008, N = 6SE +/- 0.004, N = 55.5875.6416.0177.0577.7928.32810.451

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30601530456075SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 329.1929.8232.8541.3347.3051.5668.69

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 MyocyteRTX 3060 TiRTX 3080RTX 3070RTX 3070 TiRTX 3080 TiRTX 3060RTX 3090714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 327.6427.9828.1428.4028.5628.5728.941. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603691215SE +/- 0.009, N = 8SE +/- 0.023, N = 8SE +/- 0.003, N = 8SE +/- 0.002, N = 7SE +/- 0.008, N = 7SE +/- 0.008, N = 6SE +/- 0.028, N = 53.7573.9574.1895.7715.9566.9279.5211. (CXX) g++ options: -O2 -lOpenCL

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306090180270360450SE +/- 0.12, N = 13SE +/- 0.09, N = 14SE +/- 0.15, N = 14SE +/- 0.05, N = 14SE +/- 0.07, N = 14SE +/- 0.04, N = 13SE +/- 0.05, N = 13429.43419.87338.69285.79219.11212.47171.951. (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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 3060612182430SE +/- 0.03, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.01, N = 15SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 1324.4424.3924.2524.0423.6923.6623.351. (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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30605001000150020002500SE +/- 0.07, N = 12SE +/- 0.14, N = 14SE +/- 0.07, N = 13SE +/- 0.04, N = 12SE +/- 0.29, N = 12SE +/- 0.25, N = 12SE +/- 0.18, N = 122103.732016.861763.581292.091136.26962.42758.401. (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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30601020304050SE +/- 0.03, N = 14SE +/- 0.05, N = 14SE +/- 0.03, N = 14SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.01, N = 13SE +/- 0.00, N = 1543.5541.8737.5326.2125.3321.5615.121. (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 3080RTX 3090RTX 3080 TiRTX 3070 TiRTX 3070RTX 3060 TiRTX 306080160240320400SE +/- 0.08, N = 13SE +/- 0.07, N = 13SE +/- 0.17, N = 13SE +/- 0.13, N = 13SE +/- 0.31, N = 12SE +/- 0.51, N = 12SE +/- 0.09, N = 12390.63389.58383.71381.56327.41325.50307.571. (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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30602K4K6K8K10KSE +/- 29.85, N = 12SE +/- 24.71, N = 12SE +/- 23.13, N = 11SE +/- 6.05, N = 11SE +/- 16.49, N = 10SE +/- 3.49, N = 10SE +/- 5.73, N = 98197.277981.906356.234697.673802.533435.632778.341. (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 DownloadRTX 3060RTX 3090RTX 3070RTX 3070 TiRTX 3080 TiRTX 3080RTX 3060 Ti612182430SE +/- 0.01, N = 13SE +/- 0.00, N = 13SE +/- 0.03, N = 13SE +/- 0.02, N = 13SE +/- 0.02, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 1325.1025.0324.7224.7124.7024.7024.691. (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 3070 TiRTX 3060 TiRTX 3070RTX 3080RTX 3080 TiRTX 3090RTX 3060612182430SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 15SE +/- 0.00, N = 13SE +/- 0.00, N = 1326.3526.3526.3526.3526.3526.3526.351. (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 3090RTX 3080RTX 3080 TiRTX 3070RTX 3060 TiRTX 3070 TiRTX 30605001000150020002500SE +/- 6.59, N = 3SE +/- 7.52, N = 3SE +/- 4.90, N = 3SE +/- 5.40, N = 4SE +/- 4.32, N = 4SE +/- 4.43, N = 4SE +/- 1.37, N = 42246.052227.532182.892150.102137.682102.791269.691. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SmallPT GPU

SmallPT GPU is an OpenCL benchmark that's run with various PTS changes compared to upstream and multiple rendering scenes are available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: ComplexRTX 3070 TiRTX 3060 TiRTX 3080 TiRTX 3080RTX 3070RTX 3060RTX 3090400M800M1200M1600M2000MSE +/- 19.92, N = 3SE +/- 19.34, N = 3SE +/- 20.21, N = 3SE +/- 21.36, N = 3SE +/- 19.92, N = 3SE +/- 19.92, N = 3SE +/- 21.07, N = 316576703471657660261165764873816576379191657628359165761985116573388921. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: CornellRTX 3070 TiRTX 3060 TiRTX 3080 TiRTX 3080RTX 3070RTX 3060RTX 3090400M800M1200M1600M2000MSE +/- 24.54, N = 3SE +/- 24.25, N = 3SE +/- 24.54, N = 3SE +/- 24.54, N = 3SE +/- 24.54, N = 3SE +/- 24.25, N = 3SE +/- 24.54, N = 316576704811657660394165764887316576380551657628493165761998416573390281. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: Caustic3RTX 3070 TiRTX 3060 TiRTX 3080 TiRTX 3080RTX 3070RTX 3060RTX 3090400M800M1200M1600M2000MSE +/- 24.83, N = 3SE +/- 24.54, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.54, N = 3SE +/- 24.83, N = 3SE +/- 25.12, N = 316576706241657660536165764901716576381991657628635165762012616573391721. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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: OpenCL BLAS - sCOPYRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 306080160240320400SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 33623593593392972872761. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060110220330440550SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34984924774373613593071. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3080RTX 3090RTX 3070 TiRTX 3080 TiRTX 3070RTX 3060 TiRTX 306080160240320400SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 33753743733673313302941. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 3060130260390520650SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 36025915584823723683161. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 3060150300450600750SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37177076325294003973271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3060 TiRTX 3070RTX 3060140280420560700SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36546446055274034023311. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3080RTX 3070 TiRTX 3090RTX 3080 TiRTX 3060 TiRTX 3060RTX 307050100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 32432382352322242232221. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3080RTX 3090RTX 3070 TiRTX 3080 TiRTX 3070RTX 3060 TiRTX 306080160240320400SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 33793743723693353353041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060130260390520650SE +/- 1.00, N = 3SE +/- 1.33, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 35925615043473402912041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060130260390520650SE +/- 1.00, N = 3SE +/- 1.33, N = 3SE +/- 1.33, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 2SE +/- 1.50, N = 2SE +/- 0.00, N = 25945635063483412922041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060130260390520650SE +/- 0.88, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 3SE +/- 0.50, N = 25905595023483402912041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090RTX 3080 TiRTX 3080130260390520650SE +/- 1.00, N = 3SE +/- 0.00, N = 25935655061. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 73.54, N = 3SE +/- 200.38, N = 3SE +/- 159.53, N = 3SE +/- 22.27, N = 3SE +/- 58.23, N = 3SE +/- 44.58, N = 3SE +/- 41.90, N = 320867.7819739.0317334.5311705.3911587.419750.756808.21

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30606K12K18K24K30KSE +/- 66.30, N = 3SE +/- 179.42, N = 3SE +/- 50.25, N = 3SE +/- 0.80, N = 3SE +/- 65.69, N = 3SE +/- 45.93, N = 3SE +/- 2.30, N = 327459.9126094.9722809.3615490.3415337.2612877.559036.98

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 0.16, N = 3SE +/- 135.01, N = 3SE +/- 86.43, N = 3SE +/- 43.21, N = 3SE +/- 30.65, N = 3SE +/- 16.37, N = 3SE +/- 16.13, N = 320781.4119662.1017271.0511766.5011579.719725.906820.26

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30609K18K27K36K45KSE +/- 101.51, N = 3SE +/- 100.05, N = 3SE +/- 170.86, N = 3SE +/- 84.42, N = 3SE +/- 11.98, N = 3SE +/- 30.18, N = 3SE +/- 1.19, N = 340968.9038772.7534090.9323227.9022752.7119166.4013484.60

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060140280420560700SE +/- 1.62, N = 3SE +/- 1.72, N = 3SE +/- 2.71, N = 3SE +/- 0.74, N = 3SE +/- 0.34, N = 3SE +/- 0.72, N = 3SE +/- 0.74, N = 3651.77614.23539.84366.40361.35304.18212.35

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060140280420560700SE +/- 0.03, N = 3SE +/- 1.42, N = 3SE +/- 2.58, N = 3SE +/- 0.01, N = 3SE +/- 0.42, N = 3SE +/- 0.47, N = 3SE +/- 0.00, N = 2653.38612.78539.15367.88362.02304.44210.82

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 0.42, N = 3SE +/- 51.14, N = 3SE +/- 86.56, N = 3SE +/- 0.79, N = 3SE +/- 15.80, N = 3SE +/- 18.16, N = 3SE +/- 0.32, N = 320754.4819552.2217172.3711695.9911562.599705.336799.66

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 0.25, N = 3SE +/- 49.71, N = 3SE +/- 84.25, N = 3SE +/- 0.41, N = 3SE +/- 16.41, N = 3SE +/- 18.74, N = 3SE +/- 0.10, N = 320669.2219459.2717105.4011651.0411509.589663.576769.02

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30603K6K9K12K15KSE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 28.42, N = 3SE +/- 0.41, N = 3SE +/- 11.50, N = 3SE +/- 11.82, N = 3SE +/- 0.20, N = 313699.5712873.8411320.907705.937639.186413.894494.32

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30604K8K12K16K20KSE +/- 1.27, N = 3SE +/- 2.65, N = 3SE +/- 15.08, N = 3SE +/- 0.41, N = 3SE +/- 24.75, N = 3SE +/- 13.25, N = 3SE +/- 21.63, N = 316879.0616331.7614594.4510244.7510095.638487.355955.72

VkResample

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

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 3060612182430SE +/- 0.009, N = 5SE +/- 0.003, N = 5SE +/- 0.003, N = 5SE +/- 0.002, N = 5SE +/- 0.007, N = 5SE +/- 0.006, N = 5SE +/- 0.006, N = 59.4229.57011.27213.53717.55817.68923.1841. (CXX) g++ options: -O3

Waifu2x-NCNN Vulkan

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3090RTX 3080 TiRTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 30601.10232.20463.30694.40925.5115SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.007, N = 9SE +/- 0.005, N = 9SE +/- 0.004, N = 8SE +/- 0.003, N = 8SE +/- 0.010, N = 73.2663.2683.3373.7184.0264.1904.899

86 Results Shown

Chaos Group V-RAY:
  NVIDIA RTX GPU
  NVIDIA CUDA GPU
cl-mem:
  Copy
  Read
  Write
clpeak:
  Kernel Latency
  Integer Compute INT
  Single-Precision Float
  Double-Precision Double
  Global Memory Bandwidth
  Transfer Bandwidth enqueueReadBuffer
  Transfer Bandwidth enqueueWriteBuffer
Darktable:
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Rack - OpenCL
  Server Room - OpenCL
FAHBench
FinanceBench:
  Monte-Carlo OpenCL
  Black-Scholes OpenCL
GPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
JuliaGPU
LeelaChessZero
LuxCoreRender:
  DLSC - GPU
  Danish Mood - GPU
  Orange Juice - GPU
  LuxCore Benchmark - GPU
  Rainbow Colors and Prism - GPU
MandelGPU
Meta Performance Per Watts
OctaneBench
RealSR-NCNN:
  4x - No
  4x - Yes
Rodinia:
  OpenCL Myocyte
  OpenCL Particle Filter
SHOC Scalable HeterOgeneous Computing:
  OpenCL - S3D
  OpenCL - Triad
  OpenCL - FFT SP
  OpenCL - MD5 Hash
  OpenCL - Reduction
  OpenCL - GEMM SGEMM_N
  OpenCL - Bus Speed Download
  OpenCL - Bus Speed Readback
  OpenCL - Texture Read Bandwidth
SmallPT GPU:
  GPU - Complex
  GPU - Cornell
  GPU - Caustic3
ViennaCL:
  OpenCL BLAS - sCOPY
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - dCOPY
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dDOT
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-TT
vkpeak:
  fp32-scalar
  fp32-vec4
  fp16-scalar
  fp16-vec4
  fp64-scalar
  fp64-vec4
  int32-scalar
  int32-vec4
  int16-scalar
  int16-vec4
VkResample
Waifu2x-NCNN Vulkan