AMD Ryzen 7 5700G testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (2423 BIOS) and ASUS AMD Cezanne 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 2204252-NE-ZZ773288056
zz,
"ONNX Runtime 1.11 - Model: bertsquad-12 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"ONNX Runtime 1.11 - Model: GPT-2 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",6062.5
"B",6061.5
"C",6544.5
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 12 - Input: Bosphorus 4K",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"libavif avifenc 0.10 - Encoder Speed: 10, Lossless",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"ONNX Runtime 1.11 - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",
"B",
"C",1055.5
"SVT-AV1 1.0 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p",
Higher Results Are Better
"A",
"B",
"C",
"ONNX Runtime 1.11 - Model: super-resolution-10 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",
"B",
"C",3262.5
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"libavif avifenc 0.10 - Encoder Speed: 6, Lossless",
Lower Results Are Better
"A",
"B",
"C",
"libavif avifenc 0.10 - Encoder Speed: 6",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 10 - Input: Bosphorus 1080p",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 8 - Input: Bosphorus 4K",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"libavif avifenc 0.10 - Encoder Speed: 0",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"SVT-AV1 1.0 - Encoder Mode: Preset 10 - Input: Bosphorus 4K",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"ONNX Runtime 1.11 - Model: yolov4 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",298.5
"B",297.5
"C",298.5
"SVT-AV1 1.0 - Encoder Mode: Preset 4 - Input: Bosphorus 4K",
Higher Results Are Better
"A",
"B",
"C",
"libavif avifenc 0.10 - Encoder Speed: 2",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"ONNX Runtime 1.11 - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard",
Higher Results Are Better
"A",
"B",46.5
"C",
"Java JMH - ",
Higher Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",