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10x 1x 8x 6x 4x 2x Ox 0.3x X Medical Imaging 3D U-Net NVIDIA Tops MLPerf Data Center Inference Benchmarks A100 is up to 237x Faster than the CPU Per-accelerator 0.8x OFFLINE ■Xilinx U250 (Available) ■NVIDIA T4 (Available) 0.2x Normalized to T4 X X Image Speech Classification Recognition ResNet-50 RNN-T Intel Cooper Lake (Preview) NVIDIA A100 (Available) 0.2x X X 0.1x Object Recommendation Detection DLRM SSD-Large X X NLP BERT 1x 10x 8x 6x 4x 2x Ox XX No Result Submitted. 0.7x 0.2x SERVER Per-accelerator Normalized to T4 Xilinx U250 (Available) ■NVIDIA T4 (Available) XX Speech Image Classification Recognition ResNet-50 RNN-T 0.1x X Intel Cooper Lake (Preview) NVIDIA A100 (Available) 237x vs. CPU 0.04x Object Recommendation Detection DLRM SSD-Large X X X NLP BERT MLPerf v0.7 Inference Closed; Per-accelerator performance derived from the best MLPerf results for respective submissions using reported accelerator count in Data Center Offline and Server. 3D U-Net 99.9%,: 0.7-125, 0.7-113, 0.7-111, ResNet-50: 0.7-119, 0.7-124, 0.7-113, 0.7-111, SSD-Large: 0.7-123, 0.7-113, 0.7-111 DLRM 99.9%: 0.7-126, 0.7-113, 0.7-111, RNN-T, BERT 99.9%: 0.7-111, 0.7-113 MLPerf name and logo are trademarks. See www.mlperf.org for more information.

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