onednn tgl

Intel Core i5-1135G7 testing with a Dell 08642J (3.3.0 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 2203305-NE-ONEDNNTGL55
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A
March 30 2022
  1 Hour, 35 Minutes
V
March 30 2022
  1 Hour, 40 Minutes
C
March 30 2022
  1 Hour, 46 Minutes
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onednn tgl Intel Core i5-1135G7 testing with a Dell 08642J (3.3.0 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"A","V","C" Processor,,Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads),Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads),Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads) Motherboard,,Dell 08642J (3.3.0 BIOS),Dell 08642J (3.3.0 BIOS),Dell 08642J (3.3.0 BIOS) Chipset,,Intel Device a0ef,Intel Device a0ef,Intel Device a0ef Memory,,8GB,8GB,8GB Disk,,PC SN530 NVMe WDC 256GB,PC SN530 NVMe WDC 256GB,PC SN530 NVMe WDC 256GB Graphics,,Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Device a0f0,Intel Device a0f0,Intel Device a0f0 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.14.0-1029-oem (x86_64),5.14.0-1029-oem (x86_64),5.14.0-1029-oem (x86_64) Desktop,,GNOME Shell 3.36.9,GNOME Shell 3.36.9,GNOME Shell 3.36.9 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 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,,3456x2160,3456x2160,3456x2160 ,,"A","V","C" "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,10.2134,10.2234,10.2147 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,6.61640,6.72230,6.54558 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.10994,2.11645,2.10776 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.70766,2.71662,2.69766 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,25.6483,25.6377,25.6419 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.44962,6.52050,6.51208 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,10.3470,10.3449,10.3111 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,16.5694,17.1800,17.1237 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,13.5318,13.5573,13.5892 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.51257,8.49301,8.50841 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.63798,2.63758,2.64240 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.14203,3.15049,3.14523 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7561.25,8754.58,7565.21 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4465.24,4565.49,4553.79 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8685.42,8986.95,9364.40 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,52.5447,52.5377,52.5455 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,60.1397,60.1925,60.2420 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,52.9428,52.9356,52.7790 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3840.02,4396.18,4467.07 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.15249,3.15675,3.15390 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8798.47,8805.12,8811.18 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4543.09,4563.71,4558.69 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.50550,1.52166,1.50861 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,10.8998,10.8912,10.8797