Technology Miraj Islam September 26, 2026 0 Comments

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

Nvidia made a splash earlier this year when it announced Nvidia RTX Spark, a new ARM-based SoC for small form factor PCs and laptops, and no one should be more worried 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 updated Mac mini now on sale with the new Apple M6 chip, there will 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 AND AVAILABILITY

Neither company’s SoC is available on its own, so the amount you pay will depend entirely on the PC or laptop you’re getting, and things like memory and storage upgrades will play a huge role in the final price.

The Apple M6 is only available on the new Mac mini (2026) for now and starts at $899/£899/AU$1,449 for the 16GB/256GB model. Adding more memory and storage will cost you more, with the higher-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 $1000/£1000/AU$1500 to the price respectively.

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

While many units from Dell, Acer and others have been announced, there is no firm price yet, and like the Mac mini, the amount of RAM the PC or laptop is configured with will 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.

(Image credit: Apple)

NVIDIA RTX SPARK VS APPLE M6: SPECIFICATIONS

Fortunately, when it comes to specifications, we know almost everything between these two SoCs, so we can make a proper comparison between the Nvidia RTX Spark and the Apple M6.

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Header cell: column 0	Nvidia RTX Spark N1X (entry)	Nvidia RTX Spark N1X (Premium)	apple m6
Process technology	TSMC 3nm	TSMC 3nm	TSMC 2nm
CPU cores	18	20	12
Maximum CPU clock (GHz)	3.90	4.00	4.79
GPU cores	40	48	12
AI cores	160	192	32
Maximum memory	128GB	128GB	32GB
Memory type	Unified LPDDR5X	Unified LPDDR5X	Unified LPDDR5X
Memory bandwidth	273.2 GB/s	273.2 GB/s	170GB/s
AI Performance (TOPS)	1,000 (4PM)	1,000 (4PM)	132 (FP16)

As you can see above, the Nvidia RTX Spark has many hardware advantages over the Apple M6. With almost twice the CPU cores in the premium configuration, almost four times the maximum memory space, and higher memory bandwidth, the Nvidia RTX Spark chips start well ahead of the Apple M6 in terms of specs, and that’s before we look at the RTX Blackwell GPU.

However, Apple has an advantage when it comes to maximum clock frequency, running almost 800 MHz faster than the best Nvidia chip. Will it be enough? That remains to be seen.

Advantage: Nvidia RTX spark

(Image credit: future)

NVIDIA RTX SPARK VS APPLE M6: PERFORMANCE

So far, I’ve only been able to compare the Apple M6 myself, as the new Mac mini went on sale on September 22, so there’s not much I can definitively say 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, although it runs at a lower power for laptops (TDP of about 45W to 80W, compared to the 140W TDP of the DGX Spark desktop). For RTX Spark desktops and mini PCs, I expect the TDP of the N1X to be close to or equal to the 140W TDP of the GDX.

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

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Header cell: column 0	Nvidia RTX Spark N1X (entry)	Nvidia RTX Spark N1X (Premium)	apple m6
Geekbench 7 single core	2,541	2,570	4,018
Geekbench 7 multicore	21,776	23,126	22,197
3DMark Steel Nomad	~2,750	~3,750	1,475
3DMark solar bay	~53,200	~76,000	31,513

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

As you can see, the Nvidia RTX Spark chips hold up very well against the Apple M6 in terms of GPU performance, although I must caution those results as they are approximations based on the core counts listed for the GPUs of the two SoCs. We don’t have benchmarks for these chips in 3DMark yet, but the GPU is built on the same architecture as the Nvidia RTX 50 series laptop GPUs, so we can estimate 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 higher core count over the Apple M6. However, the Apple M6 has substantially better single-core performance, about 56% faster than the premium 20-core Nvidia chip.

This will result in substantially better in-application performance for things like Adobe Photoshop and will help with agent AI when an agent is processing a message or reasoning out a response, as these inherently rely on a single core.

(Image credit: Nvidia)

However, agent AIs rarely operate alone without the help of subagents, sandboxes, and other concurrent operating tools, which is where the multi-core performance of Nvidia RTX Spark will definitely come in handy.

Of course, it also goes without saying that Nvidia’s clear advantage over Apple when it comes to AI hardware thanks to native CUDA processing cannot be understated. Apple’s M6 may perform very well, but it won’t 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 Windows’ 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 the early signs are very promising for Nvidia’s first SoC for the consumer market.

Apple isn’t out of the fight yet either, and will still maintain the price advantage, as the Nvidia RTX Spark will need a lot of very expensive RAM to process those 170B parameter models.

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

Nvidia’s RTX Spark appears to be a much more professional product with some games built in on the side, and will surely be priced accordingly, so you only need to consider the Nvidia RTX Spark if you can tell the difference between inference and model training. If you have to search for those terms, the RTX Spark isn’t really for you, but if those two are exactly what you plan to do with your next device, you really can’t do better than the Nvidia RTX Spark, as long as the devices that include it are reasonably priced.