NVIDIA GeForce MX230 vs AMD Radeon Pro WX Vega M GL vs AMD Radeon RX Vega M GL / 870

NVIDIA GeForce MX230

The Nvidia GeForce MX230 is an entry-level dedicated  laptop graphics card with DirectX 12 support (FL 12_1) based (most likely) on the Pascal architecture (and not Maxwell as the older MX130). Similar to the faster MX250, the MX230 is based on the GP108 chip.

Features

The GP108 chip is manufactured in a 14 nm FinFET process at Samsung (LPP) and offers a number of new features, including support for DisplayPort 1.4 (ready), HDMI 2.0b, HDR and improved H.265 video de- and encoding (PlayReady 3.0). 4K HDR with Netflix, however, wont run due to the minimum 3 GB graphics memory that is required. Compared to the bigger Pascal chips, the small GP108 does not support Simultaneous Multi-Projection (SMP) for VR and G-Sync. A full list of improvements and the new Pascal desktop GPUs is available in our dedicated Pascal architecture article.

Performance

Thanks to the newer Pascal architecture, the MX230 is significantly faster than the old GeForce MX130 (Maxwell based). Demanding games of 2019 run only in lowest resolution and detail settings and may stutter (e.g. Anno 1800 or Rage 2 ran with under 30fps in our benchmarks). Less demanding games like Overwatch, Fifa 19 or Rocket League, however, can be played in higher detail and resolution settings without stuttering (see benchmarks below).

Power Consumption

The MX230 is manufactured in 14nm at Samsung and due to the low shader count and 64 Bit memory bus, the power consumption is rather low. Therefore, the chip can be also used for small and thin laptops. In our power tests, the faster MX250 needed 22% more power (Furmark load) and the old MX130 even 38% more. The integrated UHD Graphics 620 needed on average only 17% less power at a much lower performance.

AMD Radeon Pro WX Vega M GL

The AMD Radeon WX Vega M GL is an integrated GPU in the slower Intel Kaby-Lake-G SoC. It combines a Kaby-Lake processor, a Vega graphics card and 4 GB HBM2 memory on a single package. The graphics card offers 20 CUs (1280 shaders) and is clocked from 931 - 1011 MHz. It is technically identical to the consumer Radeon RX Vega M GL. The AMD Radeon Pro (formerly known as FirePro) is the counterpart to the Quadro series from Nvidia and offers certified drivers for professional 3D applications (CAD and DCC).

Currently it looks like the GPU is a mixture of Polaris (Shaders?) and Vega (HBM memory controller at least). E.g. the graphics card is called Polaris 22 internally. Detailed information on the Vega architecture can be found in our dedicated article about the Raven Ridge architecture.

The performance of the Vega M GL should be between the Nvidia GeForce GTX 1050 and 1050 Ti.

The power consumption should be quite similar to a dedicated Vega Mobile GPU, but due to the small form factor, smaller laptops can be built with the Kaby-Lake-G SoC. The TDP is specified at 65 Watt for the whole package including GPU, CPU and HBM2 memory.

AMD Radeon RX Vega M GL / 870

The AMD Radeon RX Vega M GL or Radeon RX Vega 870 (according to Dell) is an integrated GPU in the slower Intel Kaby-Lake-G SoC. It combines a Kaby-Lake processor, a Vega graphics card and 4 GB HBM2 memory on a single package. The graphics card offers 20 CUs (1280 shaders) and is clocked from 931 - 1011 MHz.

Currently it looks like the GPU is a mixture of Polaris (Shaders?) and Vega (HBM memory controller at least). E.g. the graphics card is called Polaris 22 internally. Detailed information on the Vega architecture can be found in our dedicated article about the Raven Ridge architecture.

The performance of the Vega M GL should be between the Nvidia GeForce GTX 1050 and 1050 Ti according to benchmarks from Intel. Therefore, it should be well suited for 1080p and high resolution gaming.

The power consumption should be quite similar to a dedicated Vega Mobile GPU, but due to the small form factor, smaller laptops can be built with the Kaby-Lake-G SoC. The TDP is specified at 65 Watt for the whole package including GPU, CPU and HBM2 memory.