2021-05-31-1212 2 x Intel Xeon E5-2630 0 testing with a Supermicro X9DR3-F (1.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 2 x Intel Xeon E5-2630 0: Processor: 2 x Intel Xeon E5-2630 0 @ 2.80GHz (12 Cores / 24 Threads), Motherboard: Supermicro X9DR3-F (1.1 BIOS), Chipset: Intel Xeon E5/Core, Memory: 8 x 16384 MB DDR3-1333MT/s AL48P72E4BLK0, Disk: 16GB USB Flash Drive, Graphics: llvmpipe, Network: 2 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.8.0-41-generic (x86_64), Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: overlayfs, Screen Resolution: 1152x864 oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Inference - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 96.04 |============================================= oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Training - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 1042.39 |=========================================== oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 41.98 |============================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 210.97 |============================================ oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 27.12 |============================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 18.49 |============================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 705.56 |============================================ oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 53.33 |============================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 107.19 |============================================ oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon E5-2630 0 . 9.82653 |===========================================