It looks like AMD's Ryzen 4000G line of socket AM4 desktop APUs based on the 8-core 7 nm "Renoir" silicon will be a lot wider than just a couple of SKUs. We've seen plenty of material on the top Ryzen 7 4700G part that maxes out everything on the silicon, along with increased power limits and clock speeds. It looks like the Ryzen 5 4000G series will consist of 6-core/12-thread parts. One such chip, the Ryzen 5 4400G surfaced on the 3DMark database, as dug up by TUM_APISAK. They earlier brought you a 3DMark score comparison between the 4400G, the top 4700G, and the entry-level 4200G.

The Ryzen 5 4400G (possible OPN: 100-000000143) appears to be a 6-core/12-thread part based on "Renoir," with the CPU clocked at 3.70 GHz base and possibly 4.30 GHz boost. The "Vega" NGCU count of the iGPU is unknown, but its engine clock is set at 1.90 GHz (max). With the "P" (performance) preset, the 4400G allegedly scores 4395 points in the 3DMark 11 graphics test suite (graphics score); with 10241 points physics score.

Renowned leaker APISAK has digged up benchmarks for AMD's upcoming Ryzen 4700G, 4400G and 4200G Renoir APUs in 3D Mark. These are actually for the PRO versions of the APUs, but these tend to be directly comparable with AMD's non-PRO offerings, so we can look at them to get an idea of where AMD's 4000G series' performance lies. AMD's 4000G will be increasing core-counts almost across the board - the midrange 4400G now sports 6 cores and 12 threads, which is more than the previous generation Ryzen 5 3400G offered (4 cores / 8 threads), while the top-of-the-line 4700G doubles the 3400G's core-cpount to 8 physical and 16 logical threads.

This increase in CPU cores, of course, has implied a reduction in the area of the chip that's dedicated to the integrated Vega graphics GPU - compute units have been reduced from the 3400G's 11 down to 8 compute units on the Ryzen 7 4700G and 7 compute units on the 4400G - while the 4200G now makes do with just 6 Vega compute units. Clocks have been severely increased across the board to compensate the CU reduction, though - the aim is to achieve similar GPU performance using a smaller amount of semiconductor real-estate.