onednn_test_all 2 x AMD EPYC 7552 48-Core testing with a HPE ProLiant DL385 Gen10 Plus (A42 BIOS) and Matrox MGA G200eH3 on Ubuntu 20.04 via the Phoronix Test Suite. 2 x AMD EPYC 7552 48-Core: Processor: 2 x AMD EPYC 7552 48-Core @ 2.20GHz (96 Cores / 192 Threads), Motherboard: HPE ProLiant DL385 Gen10 Plus (A42 BIOS), Chipset: AMD Starship/Matisse, Memory: 1008GB, Disk: 4 x 3201GB MO003200KWZQQ + 192010GB LOGICAL VOLUME, Graphics: Matrox MGA G200eH3, Network: 4 x QLogic FastLinQ QL41000 10/25/40/50GbE + 4 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1024x768 oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 2.20494 |========================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 41.33 |============================================ oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 3.40222 |========================================== oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 10.73 |============================================ oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 0.860158 |========================================= oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 3.34514 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 4.51401 |========================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 4.00239 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 2.46471 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 1.63114 |========================================== oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 932.14 |=========================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 404.99 |=========================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 0.830651 |========================================= oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7552 48-Core . 0.868965 |=========================================