AMD Ryzen 7 8700G and Ryzen 5 8600G Review: Zen 4 APUs with RDNA3 Graphics
by Gavin Bonshor on January 29, 2024 9:00 AM EST- Posted in
- CPUs
- AMD
- APUs
- Phoenix
- 4nm
- Zen 4
- RDNA3
- AM5
- Ryzen 8000G
- Ryzen 7 8700G
- Ryzen 5 8600G
CPU Benchmark Performance: Science And Simulation
Our Science section covers all the tests that typically resemble more scientific-based workloads and instruction sets. Simulation and Science have a lot of overlap in the benchmarking world. The benchmarks that fall under Science have a distinct use for the data they output – in our Simulation section, these act more like synthetics but, at some level, are still trying to simulate a given environment.
In the encrypt/decrypt scenario, how data is transferred and by what mechanism is pertinent to on-the-fly encryption of sensitive data - a process by which more modern devices are leaning to for software security.
Adding to our 2024 CPU suite, we've included the Montage Astronomical Image Mosaic Engine (MAIM) benchmark and OpenFOAM 1.2 and retained our gaming simulation benchmarks, including our Dwarf Fortress and Factorio benchmarks.
We are using DDR5-5200 memory as per the JEDEC specifications on the Ryzen 7 8700G and Ryzen 5 8600G, as well as DDR4-3200 on the Ryzen 7 5700G and Ryzen 5 5600G. The same methodology is also used for the AMD Ryzen 7000 series and Intel's 14th, 13th, and 12th Gen processors. Below are the settings we have used for each platform:
- DDR5-5200 CL44 - Ryzen 8000G
- DDR4-3200 CL22 - Ryzen 5000G
- DDR5-5600B CL46 - Intel 14th & 13th Gen
- DDR5-5200 CL44 - Ryzen 7000
- DDR5-4800 (B) CL40 - Intel 12th Gen
In our simulated and science-focused tests, much of the same happens here as we saw in encoding and rendering; bigger cores and more of them make the difference. We did see strong AVX performance, which is a given since Zen 4 supports AVX-512 workloads via two 256-bit channels. We also saw solid performance in y-Cruncher, with the Ryzen 5 8600G beating out the Ryzen 9 7900 in single-threaded performance. This shows that despite using more power-efficient Phoenix dies, Zen 4 on mobile still offers solid single-threaded performance when transitioned over to the desktop.
Testing without STAPM limitations in our Science and Simulation benchmarks and removing the sustained power management limits didn't really make much difference in performance in these tests.
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nandnandnand - Tuesday, January 30, 2024 - link
I could have sworn that was in here, but I was probably thinking of other reviews.Short story long, AnandTech is dying and you should go to other sites for reviews now. And the 780M iGPU in the 8700G is not going to do well against a 2060/3060. It seems to be around a GTX 1650 in performance.
is4u2p - Wednesday, January 31, 2024 - link
Uh, the M1 had dedicated NPUs in it and it is a desktop processor.As for these, they're Z1 and Z1 Extreme APUs rebranded, you can get these in the handheld gaming machines.
Stu7nm3dflash - Thursday, February 1, 2024 - link
Certainly Apple has a lot of machine learning built in, this iPad Mini 6, has 16 tflops of ML, more than the M1, but little access to big amounts, of short term memory, my Ryzen 5 8600, only has 16 tflops, but I've given it 64GB of DDR 5 and PCIe4. Fingers crossed, for my creative work. ARM, is more power efficient, the M1,2,3, Pro, Max, Ultra, iPhone, Apple TV, iPads all have ML, plus unified memory and PCIE4. But amount of memory is also important, 64GB of DDR 5 only cost me $A200, PCIE4 $ 100, motherboard $125, chip $A375, my Mac mini M1, only has 8GB, of unified memory, it crashed immediately, under AI model load.Stu7nm3dflash - Thursday, February 1, 2024 - link
My use case, is a bit different, turning 2 stories, 11 pages into 80 pages, at first, online, I got 3 paragraphs. Then on an 8 core, 4000 series, Ryzen 7, with 32 GB of DDR 4, PCIe3, I got 4 pages, now, 64GB of DDR 5, PCIe4, Ryzen 5 8600, with 16 tflops of AI, I'm hoping for more pages, before it crashes. At double the short term memory, at double the speed, double speed long term memory, a specific AI architecture and 4nm nearly 3 times the transistor density, of 7nm, last time I used Jan.ai, plus a model, easiest build yet. Fingers crossed, more specific processing, 4 times the short term memory power, I hope I'm getting closer, memory, processing and software continue to advance.GeoffreyA - Thursday, February 1, 2024 - link
Perhaps you'd get better results with a GPU upgrade?peevee - Thursday, February 1, 2024 - link
Too bad 8700G is hamstrung by only 65W and PCIe4 (and only 2 RAM channels).Maybe their graphics department insisted on these things to preserve sales? APUs would be so nice at 4 DDR5 channels and 200W...
meacupla - Friday, February 2, 2024 - link
Socket AM5, with its 1718 pins, doesn't have enough pins for quad channel DDR5.While I don't think it would require 4844 pins like sTR5 for threadripper, it would require a new socket.
vertigoz - Saturday, February 3, 2024 - link
I would love to see benchmarks of ai/3d using GPU, allowing much more ram can be a major plusblackie333 - Wednesday, February 7, 2024 - link
I really care more for IDLE power consumption than maximum power because I use my PC mostly for reading/music listening. Gaming or crunching videos is not my daily routine.These integrated AMD CPUs have been chosen by many because of their much better IDLE power efficiency compared to normal desktop models.
I haven't found idle power consumption comparison with older gen. models in the article.
I'm getting old and my eyes don't serve me as good as before, maybe it's there somewhere but can't find it.
masb - Friday, February 9, 2024 - link
Excellent comparison, especially regarding the OpenFOAM topic. Where can I access the complete specifications for the Intel Core i5-14600K system?