Over time Hotspot and the JIT will convert the interpreted code into native code using profiling information.
随着时间的流逝，Hotspot和JIT会根据收集的信息将解释型代码转化为本机代码。
But performing a task with interpreted code and performing it with compiled code can take significantly different amounts of time.
但是使用解释后的代码执行任务和使用编译后的代码执行任务在时间上有巨大的差异。
Let's say you're going to time 200,000 iterations through a loop, and the compiled code is 10 times faster than the interpreted code.
假设您正在通过循环计时200,000次迭代，编译代码比解释代码快10倍。
A second disadvantage is that AOT-compiled code, though faster than interpreted code, can be substantially slower than JIT-compiled code.
第二个缺点是，尽管AOT编译过的代码比解释过的代码执行速度快，但是却比JIT编译的代码慢得多。
The advances in hardware allow interpreted code to run faster today than compiled code on some systems available when I started work on Bash.
就Bash而论，硬件的进步使今天的解释型代码运行速度快于当初我开始工作时可用的一些系统上的编译型代码。
AOT code is native code and generally executes faster than interpreted code (although it is not likely to run as fast as JIT-generated code).
AOT代码是原生代码，执行速度通常比解释的代码快(但是不太可能像JIT生成的代码那么快)。
Depending on the compilation time and how much faster the compiled code is than the interpreted code, small changes in the number of iterations can result in big differences in measured "performance."
根据编译时间和编译代码比解释代码快的程度，即使对迭代数量只做很小的变化，也可能造成测量的“性能”有极大差异。
Depending on the compilation time and how much faster the compiled code is than the interpreted code, small changes in the number of iterations can result in big differences in measured "performance."
根据编译时间和编译代码比解释代码快的程度，即使对迭代数量只做很小的变化，也可能造成测量的“性能”有极大差异。
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