It's clear by now that AMD's latest CPU releases, the Ryzen 3 2200G and the Ryzen 5 2400G are compelling products. We've already taken a look at them in our initial review, as well as investigated how memory speed affected the graphics performance of the internal GPU but it seemed there was something missing.
Recently, it's been painfully clear that GPUs excel at more than just graphics rendering. With the rise of cryptocurrency mining, OpenCL and CUDA performance are as important as ever.
Cryptocurrency mining certainly isn't the only application where having a powerful GPU can help system performance. We set out to see how much of an advantage the Radeon Vega 11 graphics in the Ryzen 5 2400G provided over the significantly less powerful UHD 630 graphics in the Intel i5-8400.
|Test System Setup|
|CPU||AMD Ryzen 5 2400G
Intel Core i5-8400
|Motherboard||Gigabyte AB350N-Gaming WiFi
ASUS STRIX Z370-E Gaming
|Memory||2 x 8GB G.SKILL FlareX DDR4-3200
(All memory running at 3200 MHz)
|Storage||Corsair Neutron XTi 480 SSD|
|Graphics Card||AMD Radeon Vega 11 Graphics
Intel UHD 630 Graphics
|Graphics Drivers||AMD 17.40.3701
|Power Supply||Corsair RM1000x|
|Operating System||Windows 10 Pro x64 RS3|
Before we take a look at some real-world examples of where a powerful GPU can be utilized, let's look at the relative power of the Vega 11 graphics on the Ryzen 5 2400G compared to the UHD 630 graphics on the Intel i5-8400.
SiSoft Sandra is a suite of benchmarks covering a wide array of system hardware and functionality, including an extensive range of GPGPU tests, which we are looking at today.
Comparing the raw shader performance of the Ryzen 5 2400G and the Intel i5-8400 provides a clear snapshot of what we are dealing with. In every precision category, the Vega 11 graphics in the AMD part are significantly more powerful than the Intel UHD 630 graphics. This all combines to provide a 175% increase in aggregate shader performance over Intel for the AMD part.
Now that we've taken a look at the theoretical power of these GPUs, let's see how they perform in real-world applications.
Memory speed is not a factor that the average gamer thinks about when building their PC. For the most part, memory performance hasn't had much of an effect on modern processors running high-speed memory such as DDR3 and DDR4.
With the launch of AMD's Ryzen processors, last year emerged a platform that was more sensitive to memory speeds. By running Ryzen processors with higher frequency and lower latency memory, users should see significant performance improvements, especially in 1080p gaming scenarios.
However, the Ryzen processors are not the only ones to exhibit this behavior.
Gaming on integrated GPUs is a perfect example of a memory starved situation. Take for instance the new AMD Ryzen 5 2400G and it's Vega-based GPU cores. In a full Vega 56 or 64 situation, these Vega cores utilize blazingly fast HBM 2.0 memory. However, due to constraints such as die space and cost, this processor does not integrate HBM.
Instead, both the CPU portion and the graphics portion of the APU must both depend on the same pool of DDR4 system memory. DDR4 is significantly slower than memory traditionally found on graphics cards such as GDDR5 or HBM. As a result, APU performance is usually memory limited to some extent.
In the past, we've done memory speed testing with AMD's older APUs, however with the launch of the new Ryzen and Vega based R3 2200G and R5 2400G, we decided to take another look at this topic.
For our testing, we are running the Ryzen 5 2400G at three different memory speeds, 2400 MHz, 2933 MHz, and 3200 MHz. While the maximum supported JEDEC memory standard for the R5 2400G is 2933, the memory provided by AMD for our processor review will support overclocking to 3200MHz just fine.
Subject: General Tech | February 15, 2018 - 11:32 AM | Ken Addison
Tagged: podcast, Intel, amd, nvidia, raven ridge, r5 2400g, r3 2200g, arm, project trillium, qualcomm, snapdragon 845, x24, LTE, 5G
PC Perspective Podcast #487 - 02/15/18
Join us this week for a recap of news and reviews including new AMD Desktop APUs, Snapdragon 845 Performance Preview, ARM Machine Learning, and more!
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Hosts: Ryan Shrout, Jeremy Hellstrom, Josh Walrath, Allyn Malventano
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Program length: 1:18:46
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