Ryzen 5 4500U oneAPI + More
AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2006291-NE-RYZEN545052.
FFTW
Build: Stock - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 1D FFT Size 64
FFTW
Build: Stock - Size: 2D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 64
FFTW
Build: Stock - Size: 1D FFT Size 128
FFTW
Build: Stock - Size: 1D FFT Size 256
FFTW
Build: Stock - Size: 1D FFT Size 512
FFTW
Build: Stock - Size: 2D FFT Size 128
FFTW
Build: Stock - Size: 2D FFT Size 256
FFTW
Build: Stock - Size: 2D FFT Size 512
FFTW
Build: Stock - Size: 1D FFT Size 1024
FFTW
Build: Stock - Size: 1D FFT Size 2048
FFTW
Build: Stock - Size: 1D FFT Size 4096
FFTW
Build: Stock - Size: 2D FFT Size 1024
FFTW
Build: Stock - Size: 2D FFT Size 2048
FFTW
Build: Stock - Size: 2D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
FFTW
Build: Float + SSE - Size: 1D FFT Size 64
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 2D FFT Size 64
FFTW
Build: Float + SSE - Size: 1D FFT Size 128
FFTW
Build: Float + SSE - Size: 1D FFT Size 256
FFTW
Build: Float + SSE - Size: 1D FFT Size 512
FFTW
Build: Float + SSE - Size: 2D FFT Size 128
FFTW
Build: Float + SSE - Size: 2D FFT Size 256
FFTW
Build: Float + SSE - Size: 2D FFT Size 512
FFTW
Build: Float + SSE - Size: 1D FFT Size 1024
FFTW
Build: Float + SSE - Size: 1D FFT Size 2048
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 2D FFT Size 1024
FFTW
Build: Float + SSE - Size: 2D FFT Size 2048
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
OSPray
Demo: San Miguel - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: SciVis
OSPray
Demo: San Miguel - Renderer: Path Tracer
OSPray
Demo: NASA Streamlines - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: SciVis
OSPray
Demo: NASA Streamlines - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: Path Tracer
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Intel Open Image Denoise
Scene: Memorial
OpenVKL
Benchmark: vklBenchmark
OpenVKL
Benchmark: vklBenchmarkVdbVolume
OpenVKL
Benchmark: vklBenchmarkStructuredVolume
OpenVKL
Benchmark: vklBenchmarkUnstructuredVolume
Tungsten Renderer
Scene: Hair
Tungsten Renderer
Scene: Water Caustic
Tungsten Renderer
Scene: Non-Exponential
Tungsten Renderer
Scene: Volumetric Caustic
Phoronix Test Suite v10.8.4