NGC

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and Zotac NVIDIA GeForce GTX 1070 Ti 8GB 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 2009179-FI-NGC40795300
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GTX 980
September 14 2020
  5 Hours, 52 Minutes
GTX 970
September 15 2020
  7 Hours, 13 Minutes
GTX 980 Ti
September 15 2020
  5 Hours, 44 Minutes
GTX 1070 Ti
September 16 2020
  1 Day, 1 Hour, 9 Minutes
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  10 Hours, 59 Minutes

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GTX 980

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 980 4GB (1126/3505MHz), Audio: NVIDIA GM204 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --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,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
Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 2048
Python Notes: Python 3.8.2
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

GTX 970

Changed Graphics to eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz).

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013
OpenCL Change: GPU Compute Cores: 1664

GTX 980 Ti

Changed Graphics to NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz).

OpenCL Change: GPU Compute Cores: 2816

GTX 1070 Ti

Changed Graphics to Zotac NVIDIA GeForce GTX 1070 Ti 8GB (139/4006MHz).

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013
OpenCL Change: GPU Compute Cores: 2432

NGCOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce GTX 980 4GB (1126/3505MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (139/4006MHz)NVIDIA GM204 HD AudioNVIDIA GM200 HD AudioNVIDIA GP104 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0)1.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNGC BenchmarksSystem Logs- --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,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 - GTX 980: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 970: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- GTX 980 Ti: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013 - GTX 1070 Ti: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- GTX 980: GPU Compute Cores: 2048- GTX 970: GPU Compute Cores: 1664- GTX 980 Ti: GPU Compute Cores: 2816- GTX 1070 Ti: GPU Compute Cores: 2432- Python 3.8.2- 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

GTX 980GTX 970GTX 980 TiGTX 1070 TiLogarithmic Result OverviewPhoronix Test SuiteFinanceBenchOctaneBenchGROMACSRedShift DemoBlendercl-memLeelaChessZeroViennaCLArrayFirePlaidMLRodiniaNAMD CUDA

NGCfinancebench: Black-Scholes OpenCLgromacs-gpu: Water Benchmarkviennacl: OpenCL LU Factorizationcl-mem: Copycl-mem: Readcl-mem: Writeoctanebench: Total Scoreredshift: lczero: OpenCLrodinia: OpenCL Particle Filternamd-cuda: ATPase Simulation - 327,506 Atomsarrayfire: Conjugate Gradient OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXfahbench: mandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthneatbench: GPUglmark2: 800 x 600glmark2: 1024 x 768glmark2: 1280 x 1024glmark2: 1600 x 1200glmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160GTX 980GTX 970GTX 980 TiGTX 1070 Ti12.0193.28863.1567145.0165.4157110.5942541002627511.7290.321634.88380.43228.97810.311053.4082.06165.20421.77328.651415.17151.49423.50319.37918.07858.55101.8257126002111.21303.294448.81159.64165.2317.214.1983.00158.6527125.8144.6134.096.0728621119486213.0490.351605.40373.01202.94717.50909.5073.69173.01444.58351.061540.95175.44481.80369.541012.281031.9090.9439112885853.71145.393877.42137.81144.5115.411325914870075688560151853805205710.0613.88164.9328217.5266.0244.2143.092739764829110.0950.281823.62389.44266.291030.271281.9799.51149.21354.53292.201193.54123.07342.76258.49780.37690.29115.4876152063380.51615.045556.00196.28264.34128861125489677472736369165293293379.1219990.95840.1134107.8178.6194.424.8715882530463111.5250.332925.115104.88387.56875.351607.1588.37200.04880.20931.553430.14460.102435.50OpenBenchmarking.org

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98020406080100SE +/- 0.44, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 379.1210.0614.2012.021. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 9801530456075Min: 78.39 / Avg: 79.12 / Max: 79.92Min: 10.06 / Avg: 10.06 / Max: 10.07Min: 14.19 / Avg: 14.2 / Max: 14.21Min: 12.01 / Avg: 12.02 / Max: 12.021. (CXX) g++ options: -O3 -lOpenCL

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGTX 1070 TiGTX 980 TiGTX 970GTX 9800.87321.74642.61963.49284.366SE +/- 0.235, N = 9SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.007, N = 30.9583.8813.0013.2881. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGTX 1070 TiGTX 980 TiGTX 970GTX 980246810Min: 0.48 / Avg: 0.96 / Max: 2.8Min: 3.87 / Avg: 3.88 / Max: 3.89Min: 3 / Avg: 3 / Max: 3Min: 3.28 / Avg: 3.29 / Max: 3.31. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1070 TiGTX 980 TiGTX 970GTX 9801428425670SE +/- 5.70, N = 15SE +/- 0.45, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 340.1164.9358.6563.161. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1070 TiGTX 980 TiGTX 970GTX 9801326395265Min: 22.65 / Avg: 40.11 / Max: 71.94Min: 64.23 / Avg: 64.93 / Max: 65.76Min: 58.4 / Avg: 58.65 / Max: 59.01Min: 62.92 / Avg: 63.16 / Max: 63.571. (CXX) g++ options: -rdynamic -lOpenCL

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: CopyGTX 1070 TiGTX 980 TiGTX 970GTX 98050100150200250SE +/- 13.47, N = 12SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3107.8217.5125.8145.01. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1070 TiGTX 980 TiGTX 970GTX 9804080120160200Min: 66.6 / Avg: 107.83 / Max: 176Min: 217.1 / Avg: 217.5 / Max: 217.9Min: 125.7 / Avg: 125.77 / Max: 125.8Min: 144.9 / Avg: 144.97 / Max: 145.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1070 TiGTX 980 TiGTX 970GTX 98060120180240300SE +/- 12.40, N = 12SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3178.6266.0144.6165.41. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1070 TiGTX 980 TiGTX 970GTX 98050100150200250Min: 103.6 / Avg: 178.6 / Max: 206.5Min: 265.7 / Avg: 265.97 / Max: 266.2Min: 144.6 / Avg: 144.63 / Max: 144.7Min: 165.3 / Avg: 165.4 / Max: 165.51. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1070 TiGTX 980 TiGTX 970GTX 98050100150200250SE +/- 0.92, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3194.4244.2134.0157.01. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1070 TiGTX 980 TiGTX 970GTX 9804080120160200Min: 192.6 / Avg: 194.43 / Max: 195.5Min: 244.1 / Avg: 244.2 / Max: 244.3Min: 134 / Avg: 134.03 / Max: 134.11. (CC) gcc options: -O2 -flto -lOpenCL

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 4.00cTotal ScoreGTX 1070 TiGTX 980 TiGTX 970GTX 98030609012015024.87143.0996.07110.59

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 1070 TiGTX 980 TiGTX 970GTX 9805001000150020002500SE +/- 371.60, N = 6SE +/- 2.40, N = 3SE +/- 2.19, N = 3SE +/- 1.76, N = 3253076411191002
OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 1070 TiGTX 980 TiGTX 970GTX 980400800120016002000Min: 1528 / Avg: 2529.5 / Max: 4033Min: 761 / Avg: 764.33 / Max: 769Min: 1115 / Avg: 1119.33 / Max: 1122Min: 999 / Avg: 1001.67 / Max: 1005

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 0.26Backend: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 9802K4K6K8K10KSE +/- 984.05, N = 6SE +/- 4.91, N = 3SE +/- 41.16, N = 3SE +/- 37.68, N = 346318291486262751. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98014002800420056007000Min: 2242 / Avg: 4630.67 / Max: 7870Min: 8283 / Avg: 8291.33 / Max: 8300Min: 4802 / Avg: 4862.33 / Max: 4941Min: 6235 / Avg: 6274.67 / Max: 63501. (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 FilterGTX 1070 TiGTX 980 TiGTX 970GTX 9803691215SE +/- 1.42, N = 12SE +/- 0.15, N = 4SE +/- 0.10, N = 3SE +/- 0.14, N = 311.5310.1013.0511.731. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1070 TiGTX 980 TiGTX 970GTX 98048121620Min: 6.72 / Avg: 11.52 / Max: 21.95Min: 9.69 / Avg: 10.1 / Max: 10.37Min: 12.87 / Avg: 13.05 / Max: 13.21Min: 11.44 / Avg: 11.73 / Max: 11.891. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 AtomsGTX 1070 TiGTX 980 TiGTX 970GTX 9800.07910.15820.23730.31640.3955SE +/- 0.01554, N = 15SE +/- 0.00249, N = 15SE +/- 0.00210, N = 3SE +/- 0.00070, N = 30.332920.281820.351600.32163
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsGTX 1070 TiGTX 980 TiGTX 970GTX 98012345Min: 0.2 / Avg: 0.33 / Max: 0.4Min: 0.27 / Avg: 0.28 / Max: 0.29Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.32 / Avg: 0.32 / Max: 0.32

ArrayFire

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

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 9801.21572.43143.64714.86286.0785SE +/- 0.062, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 35.1153.6235.4034.8831. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 980246810Min: 5 / Avg: 5.12 / Max: 5.21Min: 3.62 / Avg: 3.62 / Max: 3.63Min: 5.4 / Avg: 5.4 / Max: 5.41Min: 4.88 / Avg: 4.88 / Max: 4.891. (CXX) g++ options: -rdynamic

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98020406080100SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3104.8889.4473.0180.43
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98020406080100Min: 104.84 / Avg: 104.88 / Max: 104.94Min: 89.22 / Avg: 89.44 / Max: 89.65Min: 72.98 / Avg: 73.01 / Max: 73.08Min: 80.4 / Avg: 80.43 / Max: 80.47

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98080160240320400SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3387.56266.29202.94228.97
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98070140210280350Min: 387.34 / Avg: 387.56 / Max: 387.76Min: 266.09 / Avg: 266.29 / Max: 266.47Min: 202.93 / Avg: 202.94 / Max: 202.96Min: 228.7 / Avg: 228.97 / Max: 229.27

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 9802004006008001000SE +/- 59.39, N = 12SE +/- 1.62, N = 3SE +/- 0.32, N = 3SE +/- 0.50, N = 3875.351030.27717.50810.31
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 9802004006008001000Min: 560.55 / Avg: 875.35 / Max: 1112.26Min: 1027.03 / Avg: 1030.27 / Max: 1031.93Min: 716.97 / Avg: 717.5 / Max: 718.09Min: 809.57 / Avg: 810.31 / Max: 811.27

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98030060090012001500SE +/- 2.45, N = 3SE +/- 0.94, N = 3SE +/- 1.17, N = 3SE +/- 1.60, N = 31607.151281.97909.501053.40
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98030060090012001500Min: 1602.84 / Avg: 1607.15 / Max: 1611.31Min: 1280.66 / Avg: 1281.97 / Max: 1283.79Min: 907.2 / Avg: 909.5 / Max: 910.96Min: 1050.2 / Avg: 1053.4 / Max: 1055.17

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98020406080100SE +/- 6.24, N = 12SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 388.3799.5173.6982.06
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1070 TiGTX 980 TiGTX 970GTX 98020406080100Min: 56.89 / Avg: 88.37 / Max: 114Min: 99.45 / Avg: 99.51 / Max: 99.61Min: 73.68 / Avg: 73.69 / Max: 73.7Min: 81.78 / Avg: 82.06 / Max: 82.21

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9804080120160200SE +/- 7.36, N = 9SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3200.04149.21173.01165.20
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9804080120160200Min: 181.29 / Avg: 200.04 / Max: 256.88Min: 149.16 / Avg: 149.21 / Max: 149.29Min: 172.88 / Avg: 173.01 / Max: 173.11Min: 164.91 / Avg: 165.2 / Max: 165.66

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9802004006008001000SE +/- 92.48, N = 9SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.35, N = 3880.20354.53444.58421.77
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 980150300450600750Min: 615.15 / Avg: 880.2 / Max: 1474.56Min: 354.32 / Avg: 354.53 / Max: 354.8Min: 444.5 / Avg: 444.58 / Max: 444.67Min: 421.12 / Avg: 421.77 / Max: 422.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9802004006008001000SE +/- 107.89, N = 9SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3931.55292.20351.06328.65
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 980160320480640800Min: 362.48 / Avg: 931.55 / Max: 1263.3Min: 291.8 / Avg: 292.2 / Max: 292.53Min: 350.96 / Avg: 351.06 / Max: 351.17Min: 328.48 / Avg: 328.65 / Max: 328.9

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9807001400210028003500SE +/- 0.91, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 33430.141193.541540.951415.17
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDAGTX 1070 TiGTX 980 TiGTX 970GTX 9806001200180024003000Min: 1192.26 / Avg: 1193.54 / Max: 1195.29Min: 1540.74 / Avg: 1540.95 / Max: 1541.34Min: 1414.75 / Avg: 1415.17 / Max: 1415.55

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1070 TiGTX 980 TiGTX 970GTX 980100200300400500SE +/- 40.73, N = 9SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3460.10123.07175.44151.49
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1070 TiGTX 980 TiGTX 970GTX 98080160240320400Min: 339.52 / Avg: 460.1 / Max: 662.8Min: 123.02 / Avg: 123.07 / Max: 123.13Min: 175.13 / Avg: 175.44 / Max: 175.61Min: 151.24 / Avg: 151.49 / Max: 151.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 1070 TiGTX 980 TiGTX 970GTX 9805001000150020002500SE +/- 241.03, N = 6SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 32435.50342.76481.80423.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 1070 TiGTX 980 TiGTX 970GTX 980400800120016002000Min: 1293.18 / Avg: 2435.5 / Max: 2821.08Min: 342.69 / Avg: 342.76 / Max: 342.85Min: 481.6 / Avg: 481.8 / Max: 481.9Min: 423.27 / Avg: 423.5 / Max: 423.79

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 980 TiGTX 970GTX 98080160240320400SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3258.49369.54319.37
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 980 TiGTX 970GTX 98070140210280350Min: 258.32 / Avg: 258.49 / Max: 258.62Min: 369.5 / Avg: 369.54 / Max: 369.6Min: 319.12 / Avg: 319.37 / Max: 319.5

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDAGTX 980 TiGTX 970GTX 9802004006008001000SE +/- 0.09, N = 3SE +/- 12.17, N = 3SE +/- 0.13, N = 3780.371012.28918.07
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDAGTX 980 TiGTX 970GTX 9802004006008001000Min: 780.22 / Avg: 780.37 / Max: 780.54Min: 987.95 / Avg: 1012.28 / Max: 1024.75Min: 917.82 / Avg: 918.07 / Max: 918.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 980 TiGTX 970GTX 9802004006008001000SE +/- 0.36, N = 3SE +/- 0.90, N = 3SE +/- 0.33, N = 3690.291031.90858.55
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 980 TiGTX 970GTX 9802004006008001000Min: 689.57 / Avg: 690.29 / Max: 690.7Min: 1030.11 / Avg: 1031.9 / Max: 1033.02Min: 857.9 / Avg: 858.55 / Max: 858.91

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 2.3.2GTX 980 TiGTX 970GTX 980306090120150SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3115.4990.94101.83
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 980 TiGTX 970GTX 98020406080100Min: 115.38 / Avg: 115.49 / Max: 115.55Min: 90.92 / Avg: 90.94 / Max: 90.98Min: 101.61 / Avg: 101.83 / Max: 102.16

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: GPUGTX 980 TiGTX 970GTX 98030M60M90M120M150MSE +/- 367945.59, N = 3SE +/- 116092.47, N = 3SE +/- 172505.04, N = 3152063380.5112885853.7126002111.21. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 980 TiGTX 970GTX 98030M60M90M120M150MMin: 151341031.5 / Avg: 152063380.5 / Max: 152546254.7Min: 112677795.5 / Avg: 112885853.73 / Max: 113079136.5Min: 125796404.2 / Avg: 126002111.17 / Max: 126344834.31. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 INTGTX 980 TiGTX 970GTX 98030060090012001500SE +/- 11.49, N = 3SE +/- 14.81, N = 5SE +/- 3.33, N = 31615.041145.391303.291. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 980 TiGTX 970GTX 98030060090012001500Min: 1592.08 / Avg: 1615.04 / Max: 1627.42Min: 1087.08 / Avg: 1145.39 / Max: 1167.5Min: 1298.44 / Avg: 1303.29 / Max: 1309.661. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 980 TiGTX 970GTX 98012002400360048006000SE +/- 20.25, N = 3SE +/- 43.66, N = 15SE +/- 67.71, N = 35556.003877.424448.811. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 980 TiGTX 970GTX 98010002000300040005000Min: 5517.39 / Avg: 5556 / Max: 5585.89Min: 3414.89 / Avg: 3877.42 / Max: 3950.79Min: 4313.57 / Avg: 4448.81 / Max: 4522.411. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 980 TiGTX 970GTX 9804080120160200SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3196.28137.81159.641. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 980 TiGTX 970GTX 9804080120160200Min: 196.23 / Avg: 196.28 / Max: 196.32Min: 137.8 / Avg: 137.81 / Max: 137.83Min: 159.61 / Avg: 159.64 / Max: 159.671. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 980 TiGTX 970GTX 98060120180240300SE +/- 0.41, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3264.34144.51165.231. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 980 TiGTX 970GTX 98050100150200250Min: 263.53 / Avg: 264.34 / Max: 264.8Min: 144.44 / Avg: 144.51 / Max: 144.55Min: 165.03 / Avg: 165.23 / Max: 165.331. (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.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUGTX 970GTX 98048121620SE +/- 0.00, N = 3SE +/- 0.12, N = 315.417.2
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUGTX 970GTX 98048121620Min: 15.4 / Avg: 15.4 / Max: 15.4Min: 17 / Avg: 17.2 / Max: 17.4

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 800 x 600GTX 980 TiGTX 9703K6K9K12K15K1288611325

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1024 x 768GTX 980 TiGTX 9702K4K6K8K10K112549148

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024GTX 980 TiGTX 9702K4K6K8K10K89677007

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200GTX 980 TiGTX 9701600320048006400800074725688

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080GTX 980 TiGTX 9701600320048006400800073635601

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200GTX 980 TiGTX 9701500300045006000750069165185

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440GTX 980 TiGTX 9701100220033004400550052933805

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160GTX 980 TiGTX 970600120018002400300029332057

GTX 980

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 980 4GB (1126/3505MHz), Audio: NVIDIA GM204 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --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,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
Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 2048
Python Notes: Python 3.8.2
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 14 September 2020 13:37 by user phoronix.

GTX 970

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz), Audio: NVIDIA GM204 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --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,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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 1664
Python Notes: Python 3.8.2
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 September 2020 07:16 by user phoronix.

GTX 980 Ti

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz), Audio: NVIDIA GM200 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --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,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
Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 2816
Python Notes: Python 3.8.2
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 September 2020 17:09 by user phoronix.

GTX 1070 Ti

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: Zotac NVIDIA GeForce GTX 1070 Ti 8GB (139/4006MHz), Audio: NVIDIA GP104 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --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,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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 2432
Python Notes: Python 3.8.2
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 16 September 2020 09:39 by user phoronix.