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
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,,,