![]() ![]() For example, if we take the 11 game average data from the 5600X review – recorded at 1080p with an RTX 3090 – that almost entirely focuses on CPU intensive titles, we see that on average the Core i9-10900K is 29% faster than the Ryzen 5 3600, and that's a massive difference. ![]() That said, it can be a little bit misleading if you're using that data as a buying guide, especially when comparing CPUs in different price ranges. This is ideal for showing which CPUs are truly faster for gaming, at least in the current range of games we test with, though it's also generally a good indicator of performance for the next few years. In that review the intention was to compare CPU gaming performance and therefore we focused on CPU limited testing by using a GeForce RTX 3090 at 1080p. Take the Ryzen 5 5600X review, for example. In a way this is an extension of the data you might have seen in our day-one CPU reviews. We're going back to the data we recently collected for testing the Core i5-10400F and Ryzen 5 3600, all of it using the Radeon RX 6800 in a range of PC games at 1080p, 1440p and 4K resolutions. We will see more of these area-saving techniques going forward as SRAM area scaling flatlines.In order to wrap up our 6 core/12 thread CPU testing, we had to add the Ryzen 5 5600X to the mix. While this is not as flexible as two independent access ports, the area reduction is significant enough for AMD to adopt this technology for Zen 4c. From the description, we see that TSMC is able to simulate a dual-port bitcell by doing a sequential read-and-write operation in the same clock cycle. TSMC will be presenting further details on this new bitcell at VLSI 2023 in June, which SemiAnalysis will be attending. AMD has replaced these 8T dual-port bitcells with a new 6T pseudo dual-port bitcell developed by TSMC. Zen 4c has a reduction in SRAM area within the core itself, as AMD has switched to using a new type of SRAM bitcell. One can say that AMD’s Zen 4c ‘looks like an ARM Core’.ģ. By merging those partitions from Zen 4, the regions can be packed closer together, adding another avenue of area saving by further boosting standard cell density. there are numerous partitions for each logical block within the core, but this is drastically reduced in Zen 4c with just 4 partitions (L2, Front End, Execution, FPU). With most designs nowadays being limited by routing density and congestion, a lower operating clock enables designers to squeeze signal paths closer together and improve standard cell density.Ģ. With a lower clock target, designers have more working room with the design of critical paths, simplifying timing closure and reducing the number of additional buffer cells required to clear relaxed timing constraints. ![]() Even with the same core design on the same node, there is a choice with the area of the core and the clock speed achievable on it. Here is a Speed vs Area curve for an ARM Cortex-A72 CPU Core synthesized on TSMC’s N5 and N3E nodes. lowering the clock target of a design can lead to reduced area when the core is synthesized. We detail the three key techniques of device Physical Design that enables this.ġ. Zen 4c’s CCD design area is just 72.7mm², not even 10% bigger! Keep in mind that there are double the cores, double the L2 cache, and the same amount of 元 cache on each die. This is the design area without die seal and scribe lines at the edges. At ISSCC 2023, AMD disclosed Zen 4’s CCD to be 66.3mm². 16 Zen 4c cores are barely larger than 8 Zen 4 cores. ![]()
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