Fig. 6
From: ImageJ2: ImageJ for the next generation of scientific image data
Benchmarks of a simple addition operation with ImageJ Ops and ImageJ 1.x. Time performance comparison of simple addition operations between raw Java array manipulation, various math.add operations of ImageJ Ops, and ImageJ 1.x’s Process ⊳ Math ⊳ Add… command. Benchmarks were run for 20 rounds on randomly generated uint8 noise images dimensioned 15,000×15,000, using the JUnit Benchmarks framework, on a MacBook Pro (Retina, 15-inch, Mid 2015) running macOS Sierra 10.12 with 2.5 GHz Intel Core i7 processor and 16 GB 1600 MHz DDR3 memory. Positive numbers are fold faster, negative numbers are fold slower. The routines which produced these results can be found in the ImageJ Ops test code, in the AddOpBenchmarkTest class of the net.imagej.ops.benchmark package