An X3D processor often wins games against a chip with higher clock speeds and the same core count, and loses to it in rendering. Both results come from the same cause, and once you see it the apparent contradiction disappears.
The problem cache solves
A processor core can execute an instruction in well under a nanosecond. Fetching data from main system memory takes on the order of 80 to 100 nanoseconds. If a core had to go to memory for everything, it would spend the overwhelming majority of its time waiting.
Cache is a small, fast store close to the cores holding recently used data. A hit costs a few nanoseconds; a miss costs the full trip. The hit rate therefore matters enormously — and the hit rate depends on whether your working set fits.
3D V-Cache stacks additional L3 cache vertically on top of the die, taking a chip from 32 MB to 96 MB or more. The cores are unchanged. What changes is how much of the game’s working data stays close.
Why games specifically
Game engines have a nasty access pattern. Every frame they walk large structures — entity lists, physics state, spatial trees, animation data — in a scattered order determined by where things are in a world rather than by how memory is laid out. This is close to the worst case for a cache: large, pointer-heavy and unpredictable.
A 32 MB cache holds part of that working set. A 96 MB cache may hold most of it. The difference between missing and hitting is roughly twenty times the latency on that access, and in a workload that performs these accesses constantly, the aggregate is large.
This is also why X3D chips are relatively insensitive to memory speed. Faster memory reduces the cost of a miss. If you are missing far less often, faster memory buys less. A high-end memory kit is a much better investment on a conventional chip than on an X3D one — worth knowing, because it changes the whole build budget.
Why it loses at rendering
Rendering, video encoding and compilation stream through large volumes of data in a predictable order. They touch each piece once or twice and move on. No cache helps, because nothing is reused while it is still resident — you cannot cache your way out of reading a hundred gigabytes once.
What those workloads want is raw throughput: clock speed and core count. And the extra cache die imposes a thermal and power constraint that costs X3D parts a few hundred megahertz against their conventional siblings.
So the ranking genuinely inverts. The chip that wins your games can lose your render queue, and a single “which is faster” number cannot express that. This is why our processor pages report gaming and multi-threaded scores separately rather than averaging them into one figure that would be wrong for both.
Which games care most
The benefit is highly variable — from almost nothing to a very large margin, depending on the title.
Large benefit: simulation and strategy games with many active entities, large open worlds with lots of streaming, flight simulators, and competitive shooters at high frame rates where the processor is the constraint anyway.
Modest benefit: most single-player action games, especially at 1440p and above where the graphics card is doing the limiting.
No benefit: anything graphics-limited. At 4K with a mid-range card, an X3D chip and a conventional one of the same generation will produce nearly identical frame rates, because neither is the constraint.
That last point is the one that decides whether to buy. The cache only helps when the processor is what is holding you back. If you play at 4K, or at 1440p with a modest card, you are paying for something you will not use.
When it is worth the money
Worth it: high-refresh 1080p or 1440p gaming with a strong graphics card; simulation, strategy or flight-sim-heavy libraries; a build where gaming is the main purpose and you want the chip to last.
Not worth it: 4K gaming; builds with a mid-range or older card; anyone whose machine does substantial rendering, encoding or compilation; anyone on a budget where the money would buy a meaningfully better graphics card instead.
That last case is the common one. For a fixed total budget, moving money from the processor to the graphics card is usually the better trade for gaming — right up until the processor becomes the limit, which at 1440p and 4K it mostly does not.
How our model handles it
Rather than special-casing these chips, the model includes a cache term that scales with L3 capacity. An X3D part gets its advantage from the same arithmetic applied to every processor, which means the model has to be right about cache in general rather than right about one product line.
That approach has an honest limitation worth stating: cache benefit is strongly game-dependent in reality, and a single coefficient cannot capture a range that runs from near-zero to very large. Our figures land in the middle of that range. For a simulation-heavy library the real benefit is probably larger than we show; for a graphics-limited setup, smaller.
The methodology page sets out the full calculation, and the comparison tool will put any two processors side by side with gaming and multi-threaded figures separated, which is the view that makes the trade-off visible.