2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe 377GB on Ubuntu 19.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 1906070-HV-MKLDNNCXL29
mkl-dnn cxl
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe 377GB on Ubuntu 19.04 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,,386048MB
Disk,,Samsung SSD 970 PRO 512GB
Graphics,,llvmpipe 377GB
Monitor,,VE228
Network,,2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS,,Ubuntu 19.04
Kernel,,5.0.0-15-generic (x86_64)
Desktop,,GNOME Shell 3.32.0
Display Server,,X Server 1.20.4
Display Driver,,modesetting 1.20.4
OpenGL,,3.3 Mesa 19.0.2 (LLVM 8.0 256 bits)
Compiler,,GCC 8.3.0
File-System,,ext4
Screen Resolution,,1920x1080
,,"2 x Intel Xeon Platinum 8280"
"MKL-DNN - Harness: Convolution Batch conv_all - Data Type: f32 (ms)",LIB,383.17
"MKL-DNN - Harness: Deconvolution Batch deconv_all - Data Type: f32 (ms)",LIB,1013.23
"MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 (ms)",LIB,3545.46
"MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 (ms)",LIB,3544.32
"MKL-DNN - Harness: IP Batch All - Data Type: f32 (ms)",LIB,99.67
"MKL-DNN - Harness: IP Batch All - Data Type: u8s8u8s32 (ms)",LIB,20.43
"MKL-DNN - Harness: IP Batch All - Data Type: u8s8f32s32 (ms)",LIB,20.09
"MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: f32 (ms)",LIB,3.33
"MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 (ms)",LIB,0.96
"MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: f32 (ms)",LIB,48.27
"MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8u8s32 (ms)",LIB,3.81
"MKL-DNN - Harness: IP Batch 1D - Data Type: f32 (ms)",LIB,11.62
"MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8f32s32 (ms)",LIB,3.52
"MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 (ms)",LIB,1.11