mkl dnn xeon 2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 18.04 via the Phoronix Test Suite. 2 x Intel Xeon Platinum 8280: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 18.04, Kernel: 5.3.0-40-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080 oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 1.25974 |======================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 17.32 |========================================= oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 2.07455 |======================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 4.89497 |======================================= oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: bf16bf16bf16 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 3.60619 |======================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: bf16bf16bf16 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 48.55 |========================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 1.16964 |======================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 1.18513 |======================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 0.442405 |====================================== oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 0.328085 |====================================== oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Training - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 232.51 |======================================== oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Inference - Data Type: f32 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 69.40 |========================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 4.03759 |======================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 ms < Lower Is Better 2 x Intel Xeon Platinum 8280 . 4.37011 |=======================================