oneDNN EPYC 7551 AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 10 via the Phoronix Test Suite. EPYC 7551: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 10, Kernel: 4.19.0-10-amd64 (x86_64), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 2: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 10, Kernel: 4.19.0-10-amd64 (x86_64), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 3: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 10, Kernel: 4.19.0-10-amd64 (x86_64), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 6.41103 |========================================================== 2 ......... 6.23842 |======================================================== 3 ......... 6.45717 |========================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 14.20 |=========================================================== 2 ......... 14.33 |============================================================ 3 ......... 14.40 |============================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 2.85496 |======================================================= 2 ......... 2.89985 |======================================================== 3 ......... 3.01470 |========================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 4.19010 |========================================================= 2 ......... 4.16404 |========================================================= 3 ......... 4.23443 |========================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 21.56 |============================================================ 2 ......... 21.46 |============================================================ 3 ......... 21.43 |============================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 4.23577 |========================================================== 2 ......... 4.15859 |======================================================== 3 ......... 4.27251 |========================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 9.35531 |========================================================== 2 ......... 9.36826 |========================================================== 3 ......... 9.41336 |========================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 27.46 |============================================================ 2 ......... 26.54 |========================================================== 3 ......... 27.38 |============================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 4.90496 |============= 2 ......... 4.54888 |============ 3 ......... 21.75556 |========================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 4.80717 |=========== 2 ......... 4.97488 |=========== 3 ......... 25.06620 |========================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 13523.4 |============================= 2 ......... 13904.9 |============================= 3 ......... 27428.4 |========================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 3888.37 |======================= 2 ......... 3790.46 |======================= 3 ......... 9669.20 |========================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 13881.2 |========================================================== 2 ......... 13850.7 |========================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 3939.31 |========================================================== 2 ......... 3907.31 |========================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 2.26455 |========================================================== 2 ......... 2.14223 |======================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better EPYC 7551 . 13715.3 |========================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better EPYC 7551 . 3901.53 |========================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7551 . 1.92166 |==========================================================