nvidia linux

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3801 BIOS) and eVGA NVIDIA GeForce RTX 3060 12GB 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 2110083-TJ-NVIDIALIN09
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

Limit displaying results to tests within:

CPU Massive 2 Tests
Creator Workloads 2 Tests
Multi-Core 2 Tests
NVIDIA GPU Compute 7 Tests
Renderers 2 Tests
Vulkan Compute 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1660Ti
October 08 2021
  15 Minutes
GTX 1060
October 08 2021
  15 Minutes
GTX 1660 SUPER
October 08 2021
  15 Minutes
RTX 3060
October 08 2021
  1 Hour, 5 Minutes
NVIDIA RTX 3060
October 08 2021
  1 Hour, 58 Minutes
Invert Hiding All Results Option
  46 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):


nvidia linuxOpenBenchmarking.orgPhoronix Test SuiteAMD 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 + 2000GBeVGA NVIDIA GeForce GTX 1660 Ti 6GBNVIDIA GeForce GTX 1060 6GBeVGA NVIDIA GeForce GTX 1660 SUPER 6GBeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA TU116 HD AudioNVIDIA GP106 HD AudioNVIDIA Device 228eASUS 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 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNvidia Linux BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201016 - GTX 1660Ti: BAR1 / Visible vRAM Size: 256 MiB- GTX 1060: BAR1 / Visible vRAM Size: 256 MiB- GTX 1660 SUPER: BAR1 / Visible vRAM Size: 256 MiB- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB- NVIDIA RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB- GTX 1660Ti: GPU Compute Cores: 1536- GTX 1060: GPU Compute Cores: 1280- GTX 1660 SUPER: GPU Compute Cores: 1408- RTX 3060: GPU Compute Cores: 3584- NVIDIA RTX 3060: GPU Compute Cores: 3584- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - RTX 3060, NVIDIA RTX 3060: --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

nvidia linuxetlegacy: 1920 x 1080etlegacy: 3840 x 2160ncnn: 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 - blazefacegravitymark: 2560 x 1440 - OpenGLgravitymark: 3840 x 2160 - OpenGLncnn: Vulkan GPU - resnet18gravitymark: 1920 x 1080 - OpenGLncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mv-ray: NVIDIA CUDA GPUblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXhashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSoctanebench: Total Scorevkfft: gravitymark: 1920 x 1080 - Vulkanncnn: Vulkan GPU - googlenetgravitymark: 2560 x 1440 - Vulkanncnn: Vulkan GPU - vgg16gravitymark: 3840 x 2160 - Vulkanhashcat: MD5GTX 1660TiGTX 1060GTX 1660 SUPERRTX 3060NVIDIA RTX 3060645.8495.24426702033333355133854600000253767133.12599719620766667666.3445.2249445596666718913348353333313763381.4444913119800000647.3482.94566235366667330833792333333235133133.086823183559666674.381.922.141.702.023.210.951.902.074.176.714.772.4226.1073.1056.45113.554.307.24654.2590.64.391.912.151.712.013.240.9593.372.81.93110.42.074.186.734.832.418517790600000410267992833333291333294.02010427278149.34.28120.07.2584.024825266667OpenBenchmarking.org

ET: Legacy

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

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1080GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060140280420560700SE +/- 0.87, N = 3SE +/- 7.55, N = 4SE +/- 1.71, N = 3SE +/- 1.43, N = 3666.3647.3645.8654.2

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 2160GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060130260390520650SE +/- 1.20, N = 3SE +/- 3.91, N = 3SE +/- 4.09, N = 3SE +/- 2.08, N = 3445.2482.9495.2590.6

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 RTX 3060RTX 30600.98781.97562.96343.95124.939SE +/- 0.01, N = 3SE +/- 0.02, N = 34.394.38MIN: 4.33 / MAX: 4.54MIN: 4.31 / MAX: 4.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2NVIDIA RTX 3060RTX 30600.4320.8641.2961.7282.16SE +/- 0.01, N = 3SE +/- 0.01, N = 31.911.92MIN: 1.89 / MAX: 2.84MIN: 1.88 / MAX: 8.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3NVIDIA RTX 3060RTX 30600.48380.96761.45141.93522.419SE +/- 0.01, N = 3SE +/- 0.01, N = 32.152.14MIN: 2.12 / MAX: 4.81MIN: 2.11 / MAX: 4.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2NVIDIA RTX 3060RTX 30600.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.01, N = 31.711.70MIN: 1.69 / MAX: 2.81MIN: 1.68 / MAX: 2.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetNVIDIA RTX 3060RTX 30600.45450.9091.36351.8182.2725SE +/- 0.00, N = 3SE +/- 0.01, N = 32.012.02MIN: 1.98 / MAX: 5.81MIN: 1.97 / MAX: 12.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0NVIDIA RTX 3060RTX 30600.7291.4582.1872.9163.645SE +/- 0.01, N = 3SE +/- 0.01, N = 33.243.21MIN: 3.19 / MAX: 4.87MIN: 3.18 / MAX: 4.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceNVIDIA RTX 3060RTX 30600.21380.42760.64140.85521.069SE +/- 0.00, N = 3SE +/- 0.00, N = 30.950.95MIN: 0.93 / MAX: 1.92MIN: 0.93 / MAX: 1.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 2560 x 1440 - Renderer: OpenGLNVIDIA RTX 306020406080100SE +/- 0.12, N = 393.3

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 3840 x 2160 - Renderer: OpenGLNVIDIA RTX 30601632486480SE +/- 0.17, N = 372.8

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: resnet18NVIDIA RTX 3060RTX 30600.43430.86861.30291.73722.1715SE +/- 0.01, N = 3SE +/- 0.01, N = 21.931.90MIN: 1.88 / MAX: 12.22MIN: 1.88 / MAX: 2.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: OpenGLNVIDIA RTX 306020406080100SE +/- 0.03, N = 3110.4

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetNVIDIA RTX 3060RTX 30600.46580.93161.39741.86322.329SE +/- 0.00, N = 3SE +/- 0.01, N = 32.072.07MIN: 2.05 / MAX: 2.22MIN: 2.03 / MAX: 5.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50NVIDIA RTX 3060RTX 30600.94051.8812.82153.7624.7025SE +/- 0.01, N = 3SE +/- 0.01, N = 34.184.17MIN: 4.15 / MAX: 4.48MIN: 4.15 / MAX: 4.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyNVIDIA RTX 3060RTX 3060246810SE +/- 0.00, N = 3SE +/- 0.02, N = 36.736.71MIN: 6.6 / MAX: 6.89MIN: 6.58 / MAX: 7.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA RTX 3060RTX 30601.08682.17363.26044.34725.434SE +/- 0.01, N = 3SE +/- 0.01, N = 34.834.77MIN: 4.63 / MAX: 14.6MIN: 4.67 / MAX: 5.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mNVIDIA RTX 3060RTX 30600.54451.0891.63352.1782.7225SE +/- 0.01, N = 3SE +/- 0.00, N = 32.412.42MIN: 2.39 / MAX: 3.22MIN: 2.37 / MAX: 10.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUGTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 30602004006008001000SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 1.15, N = 3249456442851

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3060612182430SE +/- 2.63, N = 1526.10

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXRTX 30601632486480SE +/- 0.10, N = 373.10

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 30601326395265SE +/- 2.71, N = 1556.45

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3060306090120150SE +/- 0.08, N = 3113.55

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: SHA1GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 30602000M4000M6000M8000M10000MSE +/- 2008592.65, N = 3SE +/- 10383694.48, N = 3SE +/- 16083670.12, N = 3SE +/- 4454585.65, N = 34455966667623536666767020333337790600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 306090K180K270K360K450KSE +/- 578.31, N = 3SE +/- 504.42, N = 3SE +/- 712.59, N = 3SE +/- 533.33, N = 3189133330833355133410267

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060200M400M600M800M1000MSE +/- 66666.67, N = 3SE +/- 864741.45, N = 3SE +/- 115470.05, N = 3SE +/- 1083717.88, N = 3483533333792333333854600000992833333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 306060K120K180K240K300KSE +/- 33.33, N = 3SE +/- 554.78, N = 3SE +/- 533.33, N = 3SE +/- 600.93, N = 3137633235133253767291333

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 ScoreGTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 30606012018024030081.44133.09133.13294.02

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.

GTX 1660Ti: The test quit with a non-zero exit status.

GTX 1060: The test quit with a non-zero exit status.

GTX 1660 SUPER: The test quit with a non-zero exit status.

NVIDIA RTX 3060: The test quit with a non-zero exit status.

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 RTX 30606K12K18K24K30KSE +/- 187.36, N = 3272781. (CXX) g++ options: -O3 -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: VulkanNVIDIA RTX 3060306090120150SE +/- 0.15, N = 3149.3

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: googlenetNVIDIA RTX 3060RTX 30600.96751.9352.90253.874.8375SE +/- 0.11, N = 3SE +/- 0.07, N = 34.284.30MIN: 3.91 / MAX: 22.46MIN: 3.91 / MAX: 151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 2560 x 1440 - Renderer: VulkanNVIDIA RTX 3060306090120150SE +/- 0.20, N = 3120.0

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: vgg16NVIDIA RTX 3060RTX 3060246810SE +/- 0.02, N = 3SE +/- 0.01, N = 37.257.24MIN: 7.15 / MAX: 16.65MIN: 7.11 / MAX: 16.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 3840 x 2160 - Renderer: VulkanNVIDIA RTX 306020406080100SE +/- 0.03, N = 384.0

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: MD5GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 30605000M10000M15000M20000M25000MSE +/- 4813522.62, N = 3SE +/- 61580741.94, N = 3SE +/- 33080726.18, N = 3SE +/- 12235785.40, N = 313119800000183559666671962076666724825266667