e2e_recsys_performance.md

End-to-End RecSys Democratization Performance

Performance results are evaluated on 4-node cluster configured with Intel(R) Xeon(R) Platinum 8358 Scalable processor. For WnD, DIEN and DLRM, Intel® End-to-End AI Optimization Kit delivered 51.01x(5.02x ELT & 113.03x training), 12.67x(14.86x ELT & 11.91x training) and 71.16x(86.40x ELT & 42.31x training) E2E time speedup, 21.18x, 14.11x and 124.98x inference throughput speedup respectively. Please refer to corresponding model link for detailed test dataset and test method.

Model	ETL	Training	Inference
DLRM	86.40	42.31	124.98
DIEN	14.86	11.91	14.11
WnD	5.02	113.03	21.18