The 16-inch MacBook Pro Gets A New CTO GPU Option, the Pro 5600M. How fast is it?
June 18th, 2020 by rob-ART morgan, mad scientist
Without fanfare, Apple added the AMD Radeon Pro 5600M GPU as a Configure-To-Order option to the 16-inch MacBook Pro. Is it significantly faster than the Pro 5500M?
Pro 5600M = 16-inch MacBook Pro 2.4GHz 8-Core with Radeon Pro 5600M GPU and 8G of HBM2 memory
Pro 5500M = 16-inch MacBook Pro 2.4GHz 8-Core with Radeon Pro 5500M GPU and 8G of GDDR6 memory
Geekbench 5 Metal Compute
Tests your system's potential for gaming, image processing, or video editing. (HIGHER Score = FASTER)
GFXBench 3.1 Metal
Aztec High Tier Offscreen Benchmark. (HIGHER Frames per Second = FASTER)
DaVinci Resolve 16.2.2
Looping Playback of Candle 1080p project with single noise reduction node applied and using Metal (HIGHER Frames per Second = FASTER)
TW: Warhammer II
Built-in Skaven benchmark. (HIGHER Frames per Second = FASTER)
Shadow of Tomb Raider
Built-in three part benchmark. (HIGHER Frames per Second = FASTER)
LuxMark 3.1 OpenCL Benchmark
Ran the LuxBall scene. (HIGHER Samples per Second = FASTER)
WHAT DID WE LEARN?
The new 16-inch MacBook Pro AMD Radeon Pro 5600M GPU with 8GB of HBM2 memory is a serious, though pricey ($700 USD), upgrade. The examples above exhibited from 19% to 112% gains over the Pro 5500M with 8GB of GDDR6 memory.
Is it a good investment? Should you be depressed that you are 'stuck' with the Pro 5500M? It depends on what apps you are running. Some apps such as Lightroom (Enhance), Motion (render RAM preview), Final Cut Pro (transcode BruceX), and Compressor (transcode to HEVC) showed little or no gain in our testing.
One source predicted that the Pro 5600M might run some tasks as fast as the desktop Radeon RX 5700 XT. Our next article will demonstrate how an eGPU with the RX 5700 XT compares to the internal Pro 5600M's performance.
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OTHER GOOD SOURCES
Trans International sells various Mac upgrades
Other World Computing sells memory, eGPUs, storage, and used Macs.
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copyright 2020 Rob Art Morgan
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