Intel Core i7-1065G7 Ice Lake Linux Performance Benchmarks
Written by Michael Larabel in Processors on 22 October 2019. Page 8 of 9. 19 Comments

Intel's MKL-DNN (or now called DNNL) deep learning workload in its micro-benchmarks did see dramatic speed-ups when using the u8s8f32 data type that is optimized for AVX-512, similar to some of the other dramatic differences within Intel's AVX-512 optimized software. Now if only more software packages were as optimized...

When dealing with f32, the Ice Lake improvement is still there but much less throughout the various MKL-DNN/DNNL configurations.


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