onednn 1185G7

Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.0.3 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.04 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 2107150-IB-ONEDNN11860
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July 15 2021
  59 Minutes
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July 15 2021
  1 Hour, 11 Minutes
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July 15 2021
  56 Minutes
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onednn 1185G7 Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.0.3 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads),Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads),Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads) Motherboard,,Dell 0DXP1F (3.0.3 BIOS),Dell 0DXP1F (3.0.3 BIOS),Dell 0DXP1F (3.0.3 BIOS) Chipset,,Intel Tiger Lake-LP,Intel Tiger Lake-LP,Intel Tiger Lake-LP Memory,,16GB,16GB,16GB Disk,,Micron 2300 NVMe 512GB,Micron 2300 NVMe 512GB,Micron 2300 NVMe 512GB Graphics,,Intel Xe TGL GT2 3GB (1350MHz),Intel Xe TGL GT2 3GB (1350MHz),Intel Xe TGL GT2 3GB (1350MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 21.04,Ubuntu 21.04,Ubuntu 21.04 Kernel,,5.13.0-051300-generic (x86_64),5.13.0-051300-generic (x86_64),5.13.0-051300-generic (x86_64) Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa),4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa),4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa) Vulkan,,1.2.182,1.2.182,1.2.182 Compiler,,GCC 10.3.0,GCC 10.3.0,GCC 10.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"1","2","3" "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,11.51375,11.52319,11.54177 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,6.45882,6.48767,7.24078 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.41309,2.41590,2.59401 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.78481,2.78597,3.11593 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,25.3795,25.3887,25.8559 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7.73083,7.82006,25.98626 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,13.1185,13.1397,13.0745 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,14.2097,13.9111,13.8849 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,11.35733,11.25034,11.26379 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.65443,9.64037,9.61514 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.99331,2.98337,2.99665 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.70143,2.69884,2.69537 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,8885.95,8875.65,8884.92 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4560.81,4915.80,4562.59 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8879.39,9309.74,8885.72 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,51.2639,52.1071,51.2288 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,56.6140,58.5189,56.7043 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,41.1308,41.5411,40.8950 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4560.69,4855.10,4564.07 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.79333,5.12274,4.80231 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8872.45,9294.00,8881.77 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4561.54,4850.57,4566.99 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.79809,3.00737,2.76633 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11.8601,12.5508,11.8980