Ray Data benchmarks evaluate performance across workloads like image classification, document embedding, audio transcription, video object detection, and large-scale image embedding. Ray Data (v2.50) consistently outperforms Daft (v0.6.2), achieving speedups from 1.2x to 7.1x, with especially notable gains in large-scale image embedding (105.81s for Ray Data vs. 752.75s for Daft) according to the official benchmarks. All results are averaged over four runs with a warmup phase to remove startup overheads, and detailed workload configurations are provided for reproducibility.
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