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2019 Mac Pro: Focus Stacking with Zerene Stacker, 28 X 45-Megapixel Nikon D850 TIF

2019 Mac Pro

MPG tested the $9399 Apple 2019 Mac Pro with 384GB OWC memory vs the top-end $3849 2019 iMac 5K 3.6 GHz Intel Core i9 8-core / Vega 48 with 128GB OWC memory. The memory difference is not a factor in this test.

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Results: Zerene Stacker focus stacking 28 Nikon D850 images

Zerene Stacker settings: Use External TIFF Reader disabled. Memory settings ample.

Using compressed TIF files will exact about a 20% performance penalty. This test uses uncompressed TIF files.

The 2019 iMac 5K takes 62% longer than the 2019 Mac Pro, not quite as much as one might hope for, but close to what the expected gains are for 16 cores @ 3.2 GHz vs 8 cores @ 3.6 GHz.

An estimated time is shown for a 24-core Mac Pro, which is a likely best case.

See the CPU and GPU performance analysis that follows.

2019 Mac Pro: stack 28 frames from 45-megapixel Nikon D850 with Zerene Stacker

Performance Analysis — CPU and GPU Usage

The GPU is not used.

CPU utilization is excellent if and only if uncompressed TIF is used. Using compressed TIF impairs performance only a little on an 8-core iMac 5K, but exacts about a 20% speed hit on a 16-core Mac Pro. The requirements for optimal performance are:

  • Store the input files on the fastest drive available (fast SSD) so that delays from I/O are minimized.
  • Use uncompressed TIF. JPEG is probably OK, but it also is compressed which will have a slight negative effect.
  • Disable Options => Preferences => Preprocessing => Use External TIFF Reader (make sure it is unchecked).

CPU utilization with uncompressed TIF

CPU utilization with uncompressed TIF drops runtime from 250 seconds to 210 seconds on the 16-core Mac Pro, a 16% reduction in runtime (a 19% longer runtime with compressed TIF). With a 24/28-core Mac Pro, using uncompressed TIF on a fast SSD will be even more important.

2019 Mac Pro: Zerene Stacker CPU usage, uncompressed TIF

CPU utilization with compressed TIF

Below, CPU usage when using compressed TIF, is notably less good. This is due to Zerene Stacker (being written in Java), needed to exec a native process to decompress the compressed TIF file and of course, the decompression itself.

2019 Mac Pro: Zerene Stacker CPU usage, compressed TIF
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