Nvidia RTX Spark vs Apple M6: which chip is better for creating, gaming, and AI?

Nvidia made waves earlier this year when it announced the Nvidia RTX Spark, a new ARM-based SoC for small form factor PCs and laptops, and no one should be more concerned than Apple.

The Cupertino tech giant has enjoyed a very strong position when it comes to laptop sales for a while now thanks to its own ARM-based silicon, the Apple M-series.

With the refreshed Mac mini now on sale with the new Apple M6 chip, there’s going to be a lot of interest from creatives and developers around these two platforms, so I’m here to break down everything you need to know about the Nvidia RTX Spark vs Apple M6.

NVIDIA RTX SPARK VS APPLE M6: PRICE & AVAILABILITY

Neither SoC from either company is available on its own, so how much you pay will be entirely dependent on the PC or laptop it comes in, with things like memory and storage upgrades playing an outsized role in the final price.

The Apple M6 is only available in the new Mac mini (2026) for now, and it starts at $899/£899/AU$1,449 for the 16GB/256GB model. Adding more memory and storage will cost you extra, with the highest-spec M6 Mac mini featuring 24GB of unified memory for an extra $200/£200/AU$300, and an upgrade to 32GB for an extra $380/£400/AU$600.

Upgrading to 512GB SSD storage will add $200/£200/AU$300 to the price, while 1TB and 2TB will add $500/£500/AU$750 and $1,000/£1,000/AU$1,500 to the price, respectively.

Meanwhile, Nvidia is relying on its third-party partners to produce the PCs and laptops that will feature the Nvidia RTX Spark, so the prices will vary greatly among manufacturers, as well as which RTX Spark N1X core configuration is used (there will be an 18 CPU-core/5,120 CUDA-core entry configuration, and a more powerful 20 CPU-core/6,144 CUDA-core configuration).

While many units have been announced from Dell, Acer, and others, there’s been no firm pricing yet, and much like the Mac mini, the amount of RAM the PC or laptop is configured with is going to have a major impact on its price. The first Nvidia RTX Spark devices are expected to go on sale in October, and some early indicators put the starting price of RTX Spark laptops and mini PCs at around $2,000/£2,000/AU$3,000.

• Advantage: Apple M6

NVIDIA RTX SPARK VS APPLE M6: SPECS

Fortunately, when it comes to specs, we know just about everything between these two SoCs, so we can do a proper side-by-side comparison of the Nvidia RTX Spark vs Apple M6.

As you can see above, Nvidia RTX Spark has a lot of hardware advantages versus the Apple M6. With nearly twice as many CPU cores on the premium configuration, almost four times the maximum memory headroom, and larger memory bandwidth, the Nvidia RTX Spark chips start out well ahead of the Apple M6 when it comes to specs—and that’s before we discuss the RTX Blackwell GPU.

Apple does have an advantage when it comes to maximum clock frequency, however, running nearly 800MHz faster than the best Nvidia chip. Will it be enough though? That remains to be seen.

• Advantage: Nvidia RTX Spark

NVIDIA RTX SPARK VS APPLE M6: PERFORMANCE

So far, I’ve only been able to benchmark the Apple M6 myself, as the new Mac mini went on sale on September 22, so there’s not a whole lot I can say definitively about the Nvidia RTX Spark vs Apple M6 when it comes to performance, but we’re not entirely in the dark here.

The RTX Spark N1X is essentially the Nvidia DGX Spark SoC, though it is running at a lower wattage for laptops (45W to 80W TDP, roughly, compared to the desktop DGX Spark’s 140W TDP). For RTX Spark desktops and mini PCs, I expect the TDP for the N1X to come close to or match the GDX’s 140W TDP.

Since we do know a lot about the performance of the GDX Spark across various workloads, we can expect the RTX Spark N1X to perform similarly, at least in small form factor PCs. What’s more, we also have some leaked benchmarks for the two RTX Spark N1X SKUs from Geekbench 7.

Note: RTX Spark N1X 3DMark scores estimated from RTX 5070 and RTX 5070 Ti laptop GPU benchmark results

As you can see, the Nvidia RTX Spark chips handle themselves very well against the Apple M6 in terms of GPU performance, though I need to caveat those results since they are approximations based on the listed core counts for the two SoCs’ GPUs. We don’t have benchmarks for these chips yet in 3DMark, but the GPU is built on the same architecture as Nvidia RTX 50 series laptop GPUs, and so we can ballpark where the N1X’s GPU is likely to end up given the number of CUDA cores they have available.

It’s also worth noting that the Nvidia RTX Spark’s multi-core performance definitely benefits from the increased core count over the Apple M6. However, the Apple M6 has a substantially better single-core performance, clocking in about 56% faster than the premium 20-core Nvidia chip.

This is going to translate to substantially better in-app performance for things like Adobe Photoshop and will help with agentic AI when an agent is processing a prompt or reasoning out a response, as these are inherently single-core dependent.

However, agentic AIs rarely work alone without some assistance from sub-agents, sandboxes, and other concurrently operating tools, which is where the multi-core performance of the Nvidia RTX Spark will definitely come in handy.

Of course, it also goes without saying that Nvidia’s distinct advantage over Apple when it comes to AI hardware thanks to native CUDA processing can’t be understated. Apple’s M6 might perform very well, but it will not be able to keep up with an Nvidia GPU that has up to 128GB of available memory.

And for gaming, well, Apple has really struggled to break Window’s stranglehold on PC gaming, and the Apple M6 doesn’t change that in the slightest, giving the Nvidia RTX Spark the edge there almost by default.

• Advantage: Nvidia RTX Spark

NVIDIA RTX SPARK VS APPLE M6: EARLY VERDICT

It remains to be seen how well the two Nvidia RTX Spark chips fare in real world testing, but early signs are very promising for Nvidia’s first SoC for the consumer market.

Apple isn’t out for the count just yet, either, and it will still hold the edge on price since the Nvidia RTX Spark is going to need a lot of very expensive RAM to process those 170B parameter models.

If you’re a more mainstream user who is just looking for a great PC for productivity, school work, and the like, the Apple M6 is the platform to go for.

Nvidia’s RTX Spark appears to be far more of a professional product with some gaming bolted onto the side, and it will surely have a price to match, so you only really need to consider the Nvidia RTX Spark if you can tell the difference between inference and model training. If you have to look those terms up, the RTX Spark isn’t really for you, but if those two are exactly what you plan on doing with your next device, you really can’t do any better than the Nvidia RTX Spark – as long as devices that include it are reasonably priced.

Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.

John (He/Him) is the Components Editor here at TechRadar and he is also a programmer, gamer, activist, and Brooklyn College alum currently living in Brooklyn, NY.

Named by the CTA as a CES 2020 Media Trailblazer for his science and technology reporting, John specializes in all areas of computer science, including industry news, hardware reviews, PC gaming, as well as general science writing and the social impact of the tech industry.

You can find him online on Bluesky @johnloeffler.bsky.social