EPYC 7601 Extra AMD EPYC 7601 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe 126GB on Ubuntu 19.10 via the Phoronix Test Suite. EPYC 7601: Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD 17h, Memory: 129024MB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe 126GB, Network: 2 x Intel I350 OS: Ubuntu 19.10, Kernel: 5.4.0-999-generic (x86_64) 20191030, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.1 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1024x768 FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Mflops > Higher Is Better EPYC 7601 . 6306.0 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 64 Mflops > Higher Is Better EPYC 7601 . 5728.3 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Mflops > Higher Is Better EPYC 7601 . 8158.4 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 64 Mflops > Higher Is Better EPYC 7601 . 6452.5 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 128 Mflops > Higher Is Better EPYC 7601 . 6006.7 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 256 Mflops > Higher Is Better EPYC 7601 . 6420.5 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 512 Mflops > Higher Is Better EPYC 7601 . 6481.3 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 128 Mflops > Higher Is Better EPYC 7601 . 6329.0 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 256 Mflops > Higher Is Better EPYC 7601 . 6141.8 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 512 Mflops > Higher Is Better EPYC 7601 . 6114.1 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 1024 Mflops > Higher Is Better EPYC 7601 . 6610.2 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 2048 Mflops > Higher Is Better EPYC 7601 . 6388.6 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Mflops > Higher Is Better EPYC 7601 . 6316.3 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 1024 Mflops > Higher Is Better EPYC 7601 . 5521.0 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 2048 Mflops > Higher Is Better EPYC 7601 . 5065.2 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Mflops > Higher Is Better EPYC 7601 . 4595.2 |=========================================================== FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Mflops > Higher Is Better EPYC 7601 . 10636 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 64 Mflops > Higher Is Better EPYC 7601 . 13341 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Mflops > Higher Is Better EPYC 7601 . 26308 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 64 Mflops > Higher Is Better EPYC 7601 . 26125 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 128 Mflops > Higher Is Better EPYC 7601 . 16401 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 256 Mflops > Higher Is Better EPYC 7601 . 20976 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 512 Mflops > Higher Is Better EPYC 7601 . 25663 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 128 Mflops > Higher Is Better EPYC 7601 . 25492 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 256 Mflops > Higher Is Better EPYC 7601 . 23334 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 512 Mflops > Higher Is Better EPYC 7601 . 23576 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 1024 Mflops > Higher Is Better EPYC 7601 . 27720 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 2048 Mflops > Higher Is Better EPYC 7601 . 28028 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Mflops > Higher Is Better EPYC 7601 . 27742 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 1024 Mflops > Higher Is Better EPYC 7601 . 20889 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 Mflops > Higher Is Better EPYC 7601 . 14876 |============================================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Mflops > Higher Is Better EPYC 7601 . 13423 |============================================================ MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 ms < Lower Is Better EPYC 7601 . 4.88919 |========================================================== MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 ms < Lower Is Better EPYC 7601 . 29.49 |============================================================ MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 53.61 |============================================================ MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 272.38 |=========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 ms < Lower Is Better EPYC 7601 . 18.67 |============================================================ MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 ms < Lower Is Better EPYC 7601 . 2566.44 |========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 4899.46 |========================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 ms < Lower Is Better EPYC 7601 . 6.52208 |========================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better EPYC 7601 . 8.74631 |========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 ms < Lower Is Better EPYC 7601 . 303.92 |=========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 22469.1 |========================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 ms < Lower Is Better EPYC 7601 . 3129.28 |========================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 1877.27 |========================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 3138.11 |========================================================== MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 ms < Lower Is Better EPYC 7601 . 413.24 |=========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 2480.57 |========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 ms < Lower Is Better EPYC 7601 . 147.57 |=========================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 ms < Lower Is Better EPYC 7601 . 1383.22 |========================================================== dav1d 0.5.0 Video Input: Chimera 1080p FPS > Higher Is Better EPYC 7601 . 314.98 |=========================================================== dav1d 0.5.0 Video Input: Summer Nature 4K FPS > Higher Is Better EPYC 7601 . 151.58 |=========================================================== dav1d 0.5.0 Video Input: Summer Nature 1080p FPS > Higher Is Better EPYC 7601 . 356.33 |=========================================================== dav1d 0.5.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better EPYC 7601 . 61.55 |============================================================ OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis FPS > Higher Is Better EPYC 7601 . 24.39 |============================================================ OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis FPS > Higher Is Better EPYC 7601 . 4.34 |============================================================= OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer FPS > Higher Is Better EPYC 7601 . 1.95 |============================================================= OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis FPS > Higher Is Better EPYC 7601 . 32.26 |============================================================ OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer FPS > Higher Is Better EPYC 7601 . 2.28 |============================================================= OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis FPS > Higher Is Better EPYC 7601 . 18.12 |============================================================ OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer FPS > Higher Is Better EPYC 7601 . 6.37 |============================================================= OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer FPS > Higher Is Better EPYC 7601 . 200 |============================================================== Embree 3.6.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better EPYC 7601 . 20.95 |============================================================ Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better EPYC 7601 . 19.54 |============================================================ Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better EPYC 7601 . 24.13 |============================================================ Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better EPYC 7601 . 21.59 |============================================================ Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better EPYC 7601 . 23.11 |============================================================ Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better EPYC 7601 . 20.13 |============================================================ SVT-AV1 0.7 Encoder Mode: Enc Mode 0 - Input: 1080p Frames Per Second > Higher Is Better EPYC 7601 . 0.042 |============================================================ SVT-AV1 0.7 Encoder Mode: Enc Mode 4 - Input: 1080p Frames Per Second > Higher Is Better EPYC 7601 . 4.089 |============================================================ SVT-AV1 0.7 Encoder Mode: Enc Mode 8 - Input: 1080p Frames Per Second > Higher Is Better EPYC 7601 . 40.19 |============================================================ Intel Open Image Denoise 1.0.0 Scene: Memorial Images / Sec > Higher Is Better EPYC 7601 . 7.15 |=============================================================