cuda-GTX1660Super-2021Nov

Dell GeForce GTX 1660 Super 6 GB testing with a Dell G5 (model 5000, 1.4.0 BIOS) and Intel Core i5-10400F on Ubuntu 21.10 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 2111241-TAD-CUDAGTX179
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GTX 1660 Super
November 23
  10 Hours, 56 Minutes
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cuda-GTX1660Super-2021NovOpenBenchmarking.orgPhoronix Test Suite 10.6.1Intel Core i5-10400F @ 4.30GHz (6 Cores / 12 Threads)Dell 0M6C7G (1.4.0 BIOS)Intel Comet Lake PCH32GBSK hynix BC511 NVMe 512GB + 2000GB Seagate ST2000DM008-2FR1 + 500GB Western Digital WDS500G2B0A + 2000GB Seagate ST2000LM007-1R81NVIDIA GeForce GTX 1660 SUPER 6GBRealtek ALC3861VX2257Realtek Device 2600 + Intel Comet Lake PCH CNVi WiFiUbuntu 21.105.13.0-21-generic (x86_64)GNOME Shell 40.5X Server 1.20.13NVIDIA 470.82.004.6.0OpenCL 3.0 CUDA 11.4.1531.2.175GCC 10.3.0 + Clang 13.0.0-2 + CUDA 11.3ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionCuda-GTX1660Super-2021Nov BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-h9G0XI/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-h9G0XI/gcc-10-10.3.0/debian/tmp-gcn/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-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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea - Thermald 2.4.6- BAR1 / Visible vRAM Size: 256 MiB- GPU Compute Cores: 1408- Python 3.9.7- itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

cuda-GTX1660Super-2021Novvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yesvkfft: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTScl-mem: Copycl-mem: Readcl-mem: Writenamd-cuda: ATPase Simulation - 327,506 Atomsbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Doublevkresample: 2x - Singleoctanebench: Total Scorefahbench: lczero: OpenCLarrayfire: Conjugate Gradient OpenCLluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfinancebench: Black-Scholes OpenCLviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMV-Ngromacs: NVIDIA CUDA GPU - water_GMX50_barencnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXmandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthneatbench: GPUGTX 1660 Super5326.175308.215299.7510352.84165.97165.805279.345253.433470.134385.4418.587126.7132.0247.43720252175906666675849600000301467841966667221867240.8297.1246.00.243769.67613.966468.11829.879129.995418137.1513130442.6222.090.040.280.046.8423.82200019.729.432.318.727.731.032.932.623.322.523.821.52202472262802923082771611603074.2075.491.922.731.791.923.750.944.3414.142.673.105.429.605.362.424.68615.15988.61331.95174.861163.1882.05277.49179.652708.61663.70472.63181962350.74484.014345.40167.83276.631660OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarGTX 1660 Super11002200330044005500SE +/- 50.11, N = 35326.17

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4GTX 1660 Super11002200330044005500SE +/- 41.95, N = 35308.21

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarGTX 1660 Super11002200330044005500SE +/- 28.00, N = 35299.75

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4GTX 1660 Super2K4K6K8K10KSE +/- 27.18, N = 310352.84

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarGTX 1660 Super4080120160200SE +/- 0.01, N = 3165.97

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4GTX 1660 Super4080120160200SE +/- 0.06, N = 3165.80

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarGTX 1660 Super11002200330044005500SE +/- 0.27, N = 35279.34

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4GTX 1660 Super11002200330044005500SE +/- 0.32, N = 35253.43

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarGTX 1660 Super7001400210028003500SE +/- 8.60, N = 33470.13

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4GTX 1660 Super9001800270036004500SE +/- 0.20, N = 34385.44

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: NoGTX 1660 Super510152025SE +/- 0.03, N = 318.59

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGTX 1660 Super306090120150SE +/- 0.12, N = 3126.71

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: NoGTX 1660 Super0.45540.91081.36621.82162.277SE +/- 0.022, N = 22.024

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGTX 1660 Super246810SE +/- 0.004, N = 37.437

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 1.1.1GTX 1660 Super4K8K12K16K20KSE +/- 67.98, N = 3202521. (CXX) g++ options: -O3

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 1660 Super4000M8000M12000M16000M20000MSE +/- 48228944.74, N = 317590666667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1GTX 1660 Super1300M2600M3900M5200M6500MSE +/- 6850547.42, N = 35849600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGTX 1660 Super60K120K180K240K300KSE +/- 176.38, N = 3301467

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512GTX 1660 Super200M400M600M800M1000MSE +/- 2034152.84, N = 3841966667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1660 Super50K100K150K200K250KSE +/- 317.98, N = 3221867

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL - Benchmark: Integer

GTX 1660 Super: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: NVIDIA CUDA - Benchmark: Integer

GTX 1660 Super: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: OpenCL - Benchmark: Double Precision

GTX 1660 Super: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Single Precision

GTX 1660 Super: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: NVIDIA CUDA - Benchmark: Half Precision

GTX 1660 Super: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Double Precision

GTX 1660 Super: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Single Precision

GTX 1660 Super: ./mixbench: 3: ./mixbench-cuda-ro: not found

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.

Target: OpenCL - Benchmark: S3D

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

Target: OpenCL - Benchmark: Triad

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

Target: OpenCL - Benchmark: FFT SP

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

Target: OpenCL - Benchmark: MD5 Hash

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

Target: OpenCL - Benchmark: Reduction

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

Target: OpenCL - Benchmark: GEMM SGEMM_N

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

Target: OpenCL - Benchmark: Max SP Flops

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

Target: OpenCL - Benchmark: Bus Speed Download

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

Target: OpenCL - Benchmark: Bus Speed Readback

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

Target: OpenCL - Benchmark: Texture Read Bandwidth

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

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

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

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 1660 Super50100150200250SE +/- 0.07, N = 3240.81. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1660 Super60120180240300SE +/- 0.10, N = 3297.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1660 Super50100150200250SE +/- 1.04, N = 3246.01. (CC) gcc options: -O2 -flto -lOpenCL

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 1660 Super0.05480.10960.16440.21920.274SE +/- 0.00322, N = 30.24376

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestGTX 1660 Super3691215SE +/- 0.018, N = 39.6761. (CXX) g++ options: -O3 -O2 -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestGTX 1660 Super48121620SE +/- 0.01, N = 313.971. (CXX) g++ options: -O3 -O2 -ldl

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: DoubleGTX 1660 Super100200300400500SE +/- 0.67, N = 3468.121. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleGTX 1660 Super714212835SE +/- 0.03, N = 329.881. (CXX) g++ options: -O3

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 1660 Super306090120150130.00

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

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 1660 Super306090120150SE +/- 0.02, N = 3137.15

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: OpenCLGTX 1660 Super3K6K9K12K15KSE +/- 38.59, N = 3130441. (CXX) g++ options: -flto -pthread

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 1660 Super0.591.181.772.362.95SE +/- 0.003, N = 32.6221. (CXX) g++ options: -rdynamic

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUGTX 1660 Super0.47030.94061.41091.88122.3515SE +/- 0.00, N = 32.09MIN: 1.87 / MAX: 2.48

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUGTX 1660 Super0.0090.0180.0270.0360.045SE +/- 0.00, N = 30.04MAX: 0.05

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUGTX 1660 Super0.0630.1260.1890.2520.315SE +/- 0.00, N = 30.28MIN: 0.2 / MAX: 0.47

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUGTX 1660 Super0.0090.0180.0270.0360.045SE +/- 0.00, N = 30.04MAX: 0.06

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUGTX 1660 Super246810SE +/- 0.01, N = 36.84MIN: 4.96 / MAX: 7.32

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: Black-Scholes OpenCLGTX 1660 Super612182430SE +/- 0.10, N = 323.821. (CXX) g++ options: -O3 -march=native -fopenmp

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: CPU BLAS - sCOPYGTX 1660 Super510152025SE +/- 0.27, N = 319.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYGTX 1660 Super714212835SE +/- 0.54, N = 329.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTGTX 1660 Super816243240SE +/- 0.63, N = 332.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYGTX 1660 Super510152025SE +/- 0.27, N = 318.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYGTX 1660 Super714212835SE +/- 0.40, N = 327.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTGTX 1660 Super714212835SE +/- 0.22, N = 331.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NGTX 1660 Super816243240SE +/- 0.52, N = 332.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TGTX 1660 Super816243240SE +/- 0.90, N = 232.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNGTX 1660 Super612182430SE +/- 0.03, N = 323.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTGTX 1660 Super510152025SE +/- 0.07, N = 322.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNGTX 1660 Super612182430SE +/- 0.03, N = 323.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTGTX 1660 Super510152025SE +/- 0.20, N = 321.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYGTX 1660 Super50100150200250SE +/- 0.00, N = 32201. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYGTX 1660 Super50100150200250SE +/- 0.00, N = 32471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTGTX 1660 Super50100150200250SE +/- 0.33, N = 32261. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYGTX 1660 Super60120180240300SE +/- 0.33, N = 32801. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYGTX 1660 Super60120180240300SE +/- 0.00, N = 32921. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTGTX 1660 Super70140210280350SE +/- 0.00, N = 33081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TGTX 1660 Super60120180240300SE +/- 0.33, N = 32771. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNGTX 1660 Super4080120160200SE +/- 0.33, N = 31611. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTGTX 1660 Super4080120160200SE +/- 0.33, N = 31601. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NGTX 1660 Super701402102803503071. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bareGTX 1660 Super0.94661.89322.83983.78644.733SE +/- 0.008, N = 34.2071. (CXX) g++ options: -O3

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

GTX 1660 Super: @ 0x7faeaa9ad35f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

GTX 1660 Super: @ 0x7f31eb22a35f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

GTX 1660 Super: @ 0x7f5d017c735f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

GTX 1660 Super: @ 0x7f422dfab35f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

GTX 1660 Super: @ 0x7ff9c445335f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

GTX 1660 Super: @ 0x7f95d40c835f google::LogMessageFatal::~LogMessageFatal()

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: mobilenetGTX 1660 Super1.23532.47063.70594.94126.1765SE +/- 0.05, N = 35.49MIN: 5.29 / MAX: 49.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GTX 1660 Super0.4320.8641.2961.7282.16SE +/- 0.07, N = 31.92MIN: 1.81 / MAX: 34.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GTX 1660 Super0.61431.22861.84292.45723.0715SE +/- 0.07, N = 32.73MIN: 2.04 / MAX: 16.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2GTX 1660 Super0.40280.80561.20841.61122.014SE +/- 0.06, N = 31.79MIN: 1.66 / MAX: 32.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetGTX 1660 Super0.4320.8641.2961.7282.16SE +/- 0.03, N = 31.92MIN: 1.86 / MAX: 12.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0GTX 1660 Super0.84381.68762.53143.37524.219SE +/- 0.10, N = 33.75MIN: 3.09 / MAX: 38.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceGTX 1660 Super0.21150.4230.63450.8461.0575SE +/- 0.01, N = 30.94MIN: 0.91 / MAX: 10.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetGTX 1660 Super0.97651.9532.92953.9064.8825SE +/- 0.07, N = 34.34MIN: 4.02 / MAX: 30.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16GTX 1660 Super48121620SE +/- 0.05, N = 314.14MIN: 12.65 / MAX: 37.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18GTX 1660 Super0.60081.20161.80242.40323.004SE +/- 0.07, N = 32.67MIN: 2.51 / MAX: 32.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetGTX 1660 Super0.69751.3952.09252.793.4875SE +/- 0.01, N = 33.10MIN: 2.67 / MAX: 13.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50GTX 1660 Super1.21952.4393.65854.8786.0975SE +/- 0.05, N = 35.42MIN: 5.27 / MAX: 30.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyGTX 1660 Super3691215SE +/- 0.01, N = 39.60MIN: 9.27 / MAX: 53.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdGTX 1660 Super1.2062.4123.6184.8246.03SE +/- 0.10, N = 35.36MIN: 4.84 / MAX: 59.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mGTX 1660 Super0.54451.0891.63352.1782.7225SE +/- 0.04, N = 32.42MIN: 2.28 / MAX: 34.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

GTX 1660 Super: Test failed to run.

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

GTX 1660 Super: Test failed to run.

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

GTX 1660 Super: Test failed to run.

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

GTX 1660 Super: Test failed to run.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

GTX 1660 Super: Test failed to run.

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: BedroomGTX 1660 Super1.05442.10883.16324.21765.272SE +/- 0.006, N = 34.686

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarGTX 1660 Super48121620SE +/- 0.01, N = 315.16

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CUDAGTX 1660 Super20406080100SE +/- 0.04, N = 388.61

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDAGTX 1660 Super70140210280350SE +/- 0.03, N = 3331.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDAGTX 1660 Super4080120160200SE +/- 0.06, N = 3174.86

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDAGTX 1660 Super30060090012001500SE +/- 0.28, N = 31163.18

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1660 Super20406080100SE +/- 4.07, N = 1582.05

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXGTX 1660 Super60120180240300SE +/- 0.01, N = 3277.49

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1660 Super4080120160200SE +/- 5.03, N = 12179.65

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 Super6001200180024003000SE +/- 0.26, N = 32708.61

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDAGTX 1660 Super140280420560700SE +/- 0.05, N = 3663.70

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1660 Super100200300400500SE +/- 0.06, N = 3472.63

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 1660 Super40M80M120M160M200MSE +/- 90169.75, N = 3181962350.71. (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 1660 Super10002000300040005000SE +/- 42.69, N = 154484.011. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1660 Super9001800270036004500SE +/- 44.56, N = 34345.401. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1660 Super4080120160200SE +/- 0.39, N = 3167.831. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1660 Super60120180240300SE +/- 0.23, N = 3276.631. (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 1660 Super400800120016002000SE +/- 0.00, N = 31660