Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 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 2209299-NE-DNN17038446
dnn,
"AOM AV1 3.5 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"AOM AV1 3.5 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"B",
"C",
"Y-Cruncher 0.7.10.9513 - Pi Digits To Calculate: 1B",
Lower Results Are Better
"a",
"oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",
"oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"B",
"C",