AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB 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 2203314-NE-NEW4500U446
new 4500U
AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Ubuntu 21.10 via the Phoronix Test Suite.
,,"A","B","C"
Processor,,AMD Ryzen 5 4500U @ 2.38GHz (6 Cores),AMD Ryzen 5 4500U @ 2.38GHz (6 Cores),AMD Ryzen 5 4500U @ 2.38GHz (6 Cores)
Motherboard,,LENOVO LNVNB161216 (EECN20WW BIOS),LENOVO LNVNB161216 (EECN20WW BIOS),LENOVO LNVNB161216 (EECN20WW BIOS)
Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne,AMD Renoir/Cezanne
Memory,,16GB,16GB,16GB
Disk,,256GB SK hynix HFM256GDHTNI-87A0B,256GB SK hynix HFM256GDHTNI-87A0B,256GB SK hynix HFM256GDHTNI-87A0B
Graphics,,AMD Renoir 512MB (1500/400MHz),AMD Renoir 512MB (1500/400MHz),AMD Renoir 512MB (1500/400MHz)
Audio,,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio
Network,,Realtek RTL8822CE 802.11ac PCIe,Realtek RTL8822CE 802.11ac PCIe,Realtek RTL8822CE 802.11ac PCIe
OS,,Ubuntu 21.10,Ubuntu 21.10,Ubuntu 21.10
Kernel,,5.16.0-051600rc8daily20220108-generic (x86_64),5.16.0-051600rc8daily20220108-generic (x86_64),5.16.0-051600rc8daily20220108-generic (x86_64)
Desktop,,GNOME Shell 40.5,GNOME Shell 40.5,GNOME Shell 40.5
Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.0.0-devel (git-9cb9101 2022-01-08 impish-oibaf-ppa) (LLVM 13.0.0 DRM 3.44),4.6 Mesa 22.0.0-devel (git-9cb9101 2022-01-08 impish-oibaf-ppa) (LLVM 13.0.0 DRM 3.44),4.6 Mesa 22.0.0-devel (git-9cb9101 2022-01-08 impish-oibaf-ppa) (LLVM 13.0.0 DRM 3.44)
Vulkan,,1.2.199,1.2.199,1.2.199
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: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,11.3657,12.8597,12.6715
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.34888,7.79921,8.19437
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.25725,3.42344,3.44368
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,10.02906,9.67935,10.1934
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.76309,3.60674,3.72157
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,173,178,172
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,29,30,30
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,31,32,32
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7479.03,7685.45,7452.65
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.65617,5.53749,5.70432
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,1883,1928,1931
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,3438,3516,3436
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7653.55,7485.04,7559.54
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4556.32,4465.22,4512.85
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,299,305,302
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,253,258,257
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,162,165,165
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4563.35,4483.24,4546.36
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,11.5012,11.684,11.5659
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,10.3414,10.5047,10.3712
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1959,1982,1987
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,596,597,589
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4577.21,4586.79,4526.15
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,626,634,629
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7602.29,7564.71,7536.09
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,4018,4040,4052
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,6.11836,6.13719,6.16603
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,30.9828,31.2131,31.1993
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,29.5355,29.6217,29.7238
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.45587,4.47616,4.48426
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,