onednn 5500U

AMD Ryzen 5 5500U testing with a LENOVO LNVNB161216 (GLCN22WW BIOS) and AMD Lucienne 2GB on Ubuntu 21.10 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 2203306-PTS-ONEDNN5567
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A
March 30 2022
  42 Minutes
B
March 30 2022
  41 Minutes
C
March 30 2022
  43 Minutes
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onednn 5500U AMD Ryzen 5 5500U testing with a LENOVO LNVNB161216 (GLCN22WW BIOS) and AMD Lucienne 2GB on Ubuntu 21.10 via the Phoronix Test Suite. ,,"A","B","C" Processor,,AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads),AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads),AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads) Motherboard,,LENOVO LNVNB161216 (GLCN22WW BIOS),LENOVO LNVNB161216 (GLCN22WW BIOS),LENOVO LNVNB161216 (GLCN22WW BIOS) Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne,AMD Renoir/Cezanne Memory,,6GB,6GB,6GB Disk,,256GB SAMSUNG MZALQ256HBJD-00BL2,256GB SAMSUNG MZALQ256HBJD-00BL2,256GB SAMSUNG MZALQ256HBJD-00BL2 Graphics,,AMD Lucienne 2GB (1800/400MHz),AMD Lucienne 2GB (1800/400MHz),AMD Lucienne 2GB (1800/400MHz) Audio,,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio Network,,Qualcomm Atheros QCA6174 802.11ac,Qualcomm Atheros QCA6174 802.11ac,Qualcomm Atheros QCA6174 802.11ac OS,,Ubuntu 21.10,Ubuntu 21.10,Ubuntu 21.10 Kernel,,5.17.0-051700-generic (x86_64),5.17.0-051700-generic (x86_64),5.17.0-051700-generic (x86_64) Desktop,,GNOME Shell 40.5,GNOME Shell 40.5,GNOME Shell 40.5 Display Server,,X Server 1.20.13 + Wayland,X Server 1.20.13 + Wayland,X Server 1.20.13 + Wayland OpenGL,,4.6 Mesa 22.1.0-devel (git-729f95a 2022-03-24 impish-oibaf-ppa) (LLVM 13.0.1 DRM 3.44),4.6 Mesa 22.1.0-devel (git-729f95a 2022-03-24 impish-oibaf-ppa) (LLVM 13.0.1 DRM 3.44),4.6 Mesa 22.1.0-devel (git-729f95a 2022-03-24 impish-oibaf-ppa) (LLVM 13.0.1 DRM 3.44) Vulkan,,1.3.207,1.3.207,1.3.207 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"A","B","C" "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,12.1054,12.0876,12.0864 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,14.5003,11.3258,11.3864 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.72999,3.79690,3.79445 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.55304,3.75469,3.76327 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,34.4526,34.1244,34.1586 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,13.6222,13.6417,13.3253 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,11.7557,11.7185,11.7205 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,37.7711,33.7365,33.7210 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.62842,5.61911,5.70647 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.03215,8.02814,8.03124 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7127.16,7087.03,7043.60 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4688.21,4690.55,4690.50 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7099.28,7098.27,7066.77 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4694.72,4701.50,4676.62 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,7.90632,7.89074,7.85276 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7073.68,7067.16,7094.51 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4687.06,4683.43,4662.02 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.11790,5.11311,5.11709 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,