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.
GTX 1660 Super
Processor: Intel Core i5-10400F @ 4.30GHz (6 Cores / 12 Threads), Motherboard: Dell 0M6C7G (1.4.0 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: SK hynix BC511 NVMe 512GB + 2000GB Seagate ST2000DM008-2FR1 + 500GB Western Digital WDS500G2B0A + 2000GB Seagate ST2000LM007-1R81, Graphics: NVIDIA GeForce GTX 1660 SUPER 6GB, Audio: Realtek ALC3861, Monitor: VX2257, Network: Realtek Device 2600 + Intel Comet Lake PCH CNVi WiFi
OS: Ubuntu 21.10, Kernel: 5.13.0-21-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13, Display Driver: NVIDIA 470.82.00, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 11.4.153, Vulkan: 1.2.175, Compiler: GCC 10.3.0 + Clang 13.0.0-2 + CUDA 11.3, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea - Thermald 2.4.6
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
OpenCL Notes: GPU Compute Cores: 1408
Python Notes: Python 3.9.7
Security Notes: 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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
clpeak
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
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.
GTX 1660 Super
Processor: Intel Core i5-10400F @ 4.30GHz (6 Cores / 12 Threads), Motherboard: Dell 0M6C7G (1.4.0 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: SK hynix BC511 NVMe 512GB + 2000GB Seagate ST2000DM008-2FR1 + 500GB Western Digital WDS500G2B0A + 2000GB Seagate ST2000LM007-1R81, Graphics: NVIDIA GeForce GTX 1660 SUPER 6GB, Audio: Realtek ALC3861, Monitor: VX2257, Network: Realtek Device 2600 + Intel Comet Lake PCH CNVi WiFi
OS: Ubuntu 21.10, Kernel: 5.13.0-21-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13, Display Driver: NVIDIA 470.82.00, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 11.4.153, Vulkan: 1.2.175, Compiler: GCC 10.3.0 + Clang 13.0.0-2 + CUDA 11.3, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea - Thermald 2.4.6
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
OpenCL Notes: GPU Compute Cores: 1408
Python Notes: Python 3.9.7
Security Notes: 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
Testing initiated at 23 November 2021 22:43 by user tad.