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.

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
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A
March 30 2022
  1 Hour, 49 Minutes
B
March 31 2022
  36 Minutes
C
March 31 2022
  37 Minutes
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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" "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,3438,3516,3436 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,4018,4040,4052 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,162,165,165 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,173,178,172 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,253,258,257 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,299,305,302 "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 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,596,597,589 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,626,634,629 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,1883,1928,1931 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1959,1982,1987 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,10.3414,10.5047,10.3712 "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: u8s8f32 - Engine: CPU (ms)",LIB,3.76309,3.60674,3.72157 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.25725,3.42344,3.44368 "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,30.9828,31.2131,31.1993 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,10.02906,9.67935,10.1934 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,11.3657,12.8597,12.6715 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,29.5355,29.6217,29.7238 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.65617,5.53749,5.70432 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.34888,7.79921,8.19437 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7479.03,7685.45,7452.65 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4563.35,4483.24,4546.36 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7653.55,7485.04,7559.54 "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,4556.32,4465.22,4512.85 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,6.11836,6.13719,6.16603 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7602.29,7564.71,7536.09 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4577.21,4586.79,4526.15 "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,,,