Roc函数式编程语言的一项性能对标研究表明，现代纯函数式语言在接近传统编程语言效率方面取得了显著进展。1一位开发者对Roc的DEFLATE压缩实现进行了优化，使其性能与C语言标准库libdeflate进行了直接对比。1基于144个基准测试，roc-deflate在M1 MacBook Pro上的中位数性能仅比libdeflate慢2.6%，在AMD Ryzen 3900X处理器上中位数慢8.9%。1虽然最坏情况下roc-deflate会慢18%，但在最优情况下反而快18%。1
这项工作展现了纯函数式语言缩小性能差距的可行性。1Roc通过采用机会性变异等编译器优化技术，在保留完全内存安全、无副作用和确定性行为保证的前提下，接近了C语言的执行效率。1虽然尚未超越C的性能天花板，但这证明了纯函数式编程不必在性能和语言特性间进行绝对妥协。1值得注意的是，Roc 0.1.0版本距离首次发布仅数周，该语言仍处于早期开发阶段。1
A developer has demonstrated that pure functional programming can approach C language performance levels through optimization work on the Roc programming language's DEFLATE compression implementation.1 The roc-deflate library achieved performance within 2.6% of the C-based libdeflate on an M1 MacBook Pro, with an 8.9% performance gap on average when tested on an AMD Ryzen 3900X processor.1 Across 144 benchmark comparisons, the fastest results showed roc-deflate performing 18% better than the C implementation, while the worst-case scenarios fell 18% behind.1
The achievement is particularly significant given that Roc version 0.1.0 had only been released weeks prior.1 The language accomplishes these performance results through compiler optimization techniques including opportunistic mutation, while simultaneously maintaining complete memory safety, eliminating side effects, and ensuring deterministic behavior—advantages that traditional C implementations do not provide.1
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