AVX-512's Enormous Advantage For AMD EPYC 4005 Series Performance

Written by Michael Larabel in Processors on 25 June 2025 at 03:00 PM EDT. Page 4 of 9. 44 Comments.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 16, Model: ResNet-50. EPYC 4585PX was the fastest.

👁 PyTorch benchmark with settings of Device: CPU, Batch Size: 64, Model: ResNet-50. EPYC 4585PX was the fastest.

Likewise, the PyTorch performance was significantly enhanced thanks to AVX-512 being found on the AMD EPYC 4005 series.

👁 oneDNN benchmark with settings of Harness: Convolution Batch Shapes Auto, Engine: CPU. EPYC 4585PX was the fastest.

👁 oneDNN benchmark with settings of Harness: Deconvolution Batch shapes_1d, Engine: CPU. EPYC 4585PX was the fastest.

👁 oneDNN benchmark with settings of Harness: Deconvolution Batch shapes_3d, Engine: CPU. EPYC 4585PX was the fastest.

👁 oneDNN benchmark with settings of Harness: IP Shapes 1D, Engine: CPU. EPYC 4585PX was the fastest.

👁 oneDNN benchmark with settings of Harness: Recurrent Neural Network Training, Engine: CPU. EPYC 4585PX was the fastest.

👁 oneDNN benchmark with settings of Harness: Recurrent Neural Network Inference, Engine: CPU. EPYC 4585PX was the fastest.

Intel's own oneDNN neural network library shows the huge advantage of having AVX-512 support on the CPU and in turn allowing AMD EPYC to sharply outperform their own processors.

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URL: https://www.phoronix.com/review/amd-epyc-4005-avx512/4

⇱ AVX-512's Enormous Advantage For AMD EPYC 4005 Series Performance Review - Phoronix

AVX-512's Enormous Advantage For AMD EPYC 4005 Series Performance