AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon RX 7900 XT/7900 XTX on Ubuntu 23.10 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 2310132-NE-ONERYZEN249
one ryzen,
"Intel Open Image Denoise 2.1 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"a",0.84346190504306
"b",0.89953943580887
"Intel Open Image Denoise 2.1 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"a",0.84617402414981
"b",0.9013312662803
"Intel Open Image Denoise 2.1 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only",
Higher Results Are Better
"a",0.40359522627566
"b",0.42821234193612
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",