NVIDIA GeForce RTX 2070 Linux Compute Benchmarks
NVIDIA GeForce RTX 2070 Ubuntu Linux compute OpenCL CUDA TensorFlow benchmarks. Tests by Michael Larabel for a future article on Phoronix.com.
HTML result view exported from: https://openbenchmarking.org/result/1810180-SK-GPGPUCOMP97&rdt&grs.
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: MD5 Hash
CUDA Mini-Nbody
Test: Original
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
Test: AlexNet, FP16
ASKAP tConvolveCuda
Processing: Degridding
NVIDIA GPU Cloud TensorFlow
System Power Consumption Monitor
CUDA Mini-Nbody
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
Test: AlexNet, FP16
Chaos Group V-RAY
System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
Test: ResNet-50, FP16
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: FFT SP
clpeak
Performance / Cost - OpenCL Test: Integer Compute INT
NVIDIA GPU Cloud TensorFlow
Test: Inception v4, FP16
NVIDIA GPU Cloud TensorFlow
Test: AlexNet, FP32
NVIDIA GPU Cloud TensorFlow
Test: Inception v4, FP16
NVIDIA GPU Cloud TensorFlow
Test: Googlenet, FP16
NVIDIA GPU Cloud TensorFlow
Test: VGG-16, FP16
NVIDIA GPU Cloud TensorFlow
Test: ResNet-50, FP16
NVIDIA GPU Cloud TensorFlow
Test: AlexNet, FP32
NVIDIA GPU Cloud TensorFlow
Test: Googlenet, FP16
NVIDIA GPU Cloud TensorFlow
Test: VGG-16, FP16
NVIDIA GPU Cloud TensorFlow
Test: ResNet-50, FP32
NVIDIA GPU Cloud TensorFlow
Test: ResNet-50, FP32
Chaos Group V-RAY
Mode: CUDA GPU
NVIDIA GPU Cloud TensorFlow
Test: VGG-16, FP32
NVIDIA GPU Cloud TensorFlow
Test: VGG-16, FP32
clpeak
OpenCL Test: Integer Compute INT
SHOC Scalable HeterOgeneous Computing
Performance / Cost - Target: OpenCL - Benchmark: FFT SP
ASKAP tConvolveCuda
Performance / Cost - Processing: Degridding
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: Inception v4, FP16
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: ResNet-50, FP16
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: VGG-16, FP16
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: VGG-16, FP32
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: AlexNet, FP32
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: ResNet-50, FP32
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: Googlenet, FP16
NVIDIA GPU Cloud TensorFlow
Performance / Cost - Test: AlexNet, FP16
SHOC Scalable HeterOgeneous Computing
Performance / Cost - Target: OpenCL - Benchmark: MD5 Hash
System Power Consumption Monitor
Phoronix Test Suite System Monitoring
GPU Temperature Monitor
Phoronix Test Suite System Monitoring
Parboil
Test: OpenCL TPACF
Phoronix Test Suite v10.8.5