Intel Core i5-1145G7 testing with a LENOVO 20XW004AUS (N32ET71W 1.47 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 20.04 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 2203301-NE-ONEDNNTGL27
onednn tgl
Intel Core i5-1145G7 testing with a LENOVO 20XW004AUS (N32ET71W 1.47 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"A","B","C"
Processor,,Intel Core i5-1145G7 @ 4.40GHz (4 Cores / 8 Threads),Intel Core i5-1145G7 @ 4.40GHz (4 Cores / 8 Threads),Intel Core i5-1145G7 @ 4.40GHz (4 Cores / 8 Threads)
Motherboard,,LENOVO 20XW004AUS (N32ET71W 1.47 BIOS),LENOVO 20XW004AUS (N32ET71W 1.47 BIOS),LENOVO 20XW004AUS (N32ET71W 1.47 BIOS)
Chipset,,Intel Device a0ef,Intel Device a0ef,Intel Device a0ef
Memory,,16GB,16GB,16GB
Disk,,1024GB SAMSUNG MZVLB1T0HBLR-000H1,1024GB SAMSUNG MZVLB1T0HBLR-000H1,1024GB SAMSUNG MZVLB1T0HBLR-000H1
Graphics,,Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz)
Audio,,Realtek ALC287,Realtek ALC287,Realtek ALC287
Network,,Intel Device a0f0,Intel Device a0f0,Intel Device a0f0
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.14.0-1027-oem (x86_64),5.14.0-1027-oem (x86_64),5.14.0-1027-oem (x86_64)
Desktop,,GNOME Shell 3.36.9,GNOME Shell 3.36.9,GNOME Shell 3.36.9
Display Server,,X Server 1.20.13,X Server 1.20.13,X Server 1.20.13
OpenGL,,4.6 Mesa 21.2.6,4.6 Mesa 21.2.6,4.6 Mesa 21.2.6
Vulkan,,1.2.182,1.2.182,1.2.182
Compiler,,GCC 9.4.0,GCC 9.4.0,GCC 9.4.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1200,1920x1200,1920x1200
,,"A","B","C"
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,8.46208,8.95669,9.51734
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.40966,5.40629,5.45216
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.95301,2.08277,2.16909
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.11018,2.28842,2.29786
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,19.8379,19.8353,19.8015
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.11673,6.31136,6.35160
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.41308,9.99736,10.51531
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,17.6982,18.3013,18.2109
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,10.1712,9.9306,9.82487
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.00896,7.61626,7.63750
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.00906,3.03781,3.07591
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.41032,2.35766,2.34011
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,9343.97,9342.43,9341.05
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4767.33,4768.46,4759.63
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9344.99,9347.91,9346.82
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,38.0359,37.9739,37.9609
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,63.5556,63.9284,64.4608
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,38.2692,38.3114,38.3988
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4762.61,4762.94,4763.90
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.97598,3.97577,3.98095
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9342.56,9340.03,9341.19
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4760.20,4762.01,4764.79
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.70174,1.70897,1.71077
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12.27494,12.19882,12.20369