gooxi-ai

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.

Benchmark: MD5

Nvidia compute: The test quit with a non-zero exit status. E: ./hashcat: 3: ./hashcat.bin: not found

Benchmark: SHA1

Nvidia compute: The test quit with a non-zero exit status. E: ./hashcat: 3: ./hashcat.bin: not found

Mixbench

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

Backend: OpenCL - Benchmark: Integer

Nvidia Compute: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Double Precision

Nvidia Compute: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Single Precision

Nvidia Compute: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-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

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Triad

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: FFT SP

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: MD5 Hash

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Reduction

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: GEMM SGEMM_N

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Max SP Flops

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Bus Speed Download

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Bus Speed Readback

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

Target: OpenCL - Benchmark: Texture Read Bandwidth

Nvidia Compute: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

Benchmark: Copy

Nvidia Compute: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

Benchmark: Read

Nvidia Compute: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

Benchmark: Write

Nvidia Compute: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

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.

Nvidia Compute: The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. 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.

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.

Backend: OpenCL

Nvidia Compute: The test quit with a non-zero exit status. E: ./lczero: line 4: ./lc0: No such file or directory

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.

Test: OpenCL Particle Filter

Nvidia Compute: The test quit with a non-zero exit status. E: ./rodinia: 49: ./OCL_particlefilter_double: not found

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.

ArrayFire

Test: Conjugate Gradient OpenCL

Nvidia Compute: The test run did not produce a result. E: ./arrayfire: 7: ./cg_opencl: not found

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.

Benchmark: Black-Scholes OpenCL

Nvidia Compute: The test quit with a non-zero exit status. E: ./financebench: line 4: ./blackScholesAnalyticEngine.exe: No such file or directory

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.

Test: OpenCL BLAS

Nvidia Compute: The test quit with a non-zero exit status. E: ./viennacl: 2: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: not found

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.

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

Nvidia Compute: The test quit with a non-zero exit status. E: Fatal error:

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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

Nvidia Compute: The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

Blender

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.

OpenCL Device: GPU

Nvidia Compute: The test quit with a non-zero exit status. E: ./mandelGPU: error while loading shared libraries: libglut.so.3: cannot open shared object file: No such file or directory

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.

Acceleration: GPU

Nvidia Compute: The test run did not produce a result.