Intel Arc A380 Review: Great for Video, Weak for Gaming

The Intel Arc A380 has to be one of the worst graphics card launches in history — not the hardware itself, necessarily, but the retail launch of the hardware. By all indications, Intel knew the drivers were broken when the hardware was ready for release earlier this year. Rather than taking sufficient time to fix the drivers before the retail launch, and with the clock ticking as new AMD and Nvidia GPUs are on the horizon, Intel decided to ship its Arc GPUs first in China — likely not the sort of approach a company would take if the product were worthy of making our list of the best graphics cards.

Several months later, after plenty of negative publicity courtesy of GPUs that made their way to other shores, and with numerous driver updates come and gone, Arc A380 has officially launched in the US with a starting price of $139 (opens in new tab). The single offering on Newegg sold out and is currently back ordered, but that’s likely more to do with limited supplies than high demand. Still, the A380’s not all bad, and we’re happy to see Team Blue rejoin the dedicated GPU market for the first time in over 24 years. (And no, I don’t really count the Intel DG1 from last year, since it only worked on specific motherboards.)

How does the Arc A380 stack up to competing AMD and Nvidia GPUs, and what’s all the hype about AV1 hardware encoding acceleration? You can see where it lands in our GPU benchmarks hierarchy, which if you want a spoiler is… not good. But let’s get to the details.

Arc Alchemist Architecture Recap

We’ve provided extensive coverage on Intel’s Arc Alchemist architecture, dating back to about one year ago. At the time we first wrote that piece, we were anticipating a late 2021 or early 2022 launch. That morphed into a planned March 2022 launch, then eventually a mid-2022 release — and it’s not even a full release, at least not yet. Arc A380 is merely the first salvo, at the very bottom of the price and performance ladder. We’ve seen plenty of hints of the faster Arc A750, which appears to be close to RTX 3060 performance based on Intel’s own benchmarks, and that should launch within the next month or so. What about the faster still Arc A770 or mid-tier Arc A580 and other products? Only time will tell.

Arc Alchemist represents a divergence from Intel’s previous graphics designs. There’s probably plenty of overlap in certain elements, but Intel has changed names for some of the core building blocks. Gone are the “Execution Units (EUs),” which are now called Vector Engines (VEs). Each VE can compute eight FP32 operations per cycle, which gets loosely translated into “GPU cores” or GPU shaders and is roughly equivalent to the AMD and Nvidia shaders.

Intel groups 16 VEs into a single Xe-Core, which also includes other functionality. Each Xe-Core thus has 128 shader cores and roughly translates as equivalent to an AMD Compute Unit (CU) or Nvidia Streaming Multiprocessor (SM). They’re basically all SIMD (single instruction multiple data) designs, and like the competition, Arc Alchemist has enhanced the shaders to meet the full DirectX 12 Ultimate feature set.

That naturally means having ray tracing hardware incorporated into the design, and Intel has one Ray Tracing Unit (RTU) per Xe-Core. The exact details of the ray tracing hardware aren’t entirely clear yet, though based on testing each Intel RTU might match up decently against an Nvidia Ampere RT core.

Intel didn’t stop there. Alongside the VEs and RTUs and other typical graphics hardware, Intel also added Matrix Engines, which it calls XMX Engines (Xe Matrix eXtensions). These are similar in principle to Nvidia’s Tensor cores and are designed to crunch though lots of less precise data for machine learning and other uses. An XMX Engine is 1024-bits wide and can process either 64 FP16 operations or 128 INT8 operations per cycle, giving Arc GPUs a relatively large amount of compute power. 

Intel Arc A380 Specifications

With that brief overview of the architecture out of the way, here are the specifications for the Arc A380, compared to a couple of competing AMD and Nvidia GPUs. While we provide theoretical performance here, remember that not all teraflops and teraops are created equal. We need real-world testing to see what sort of actual performance the architecture can deliver.

On paper, Intel’s Arc A380 basically competes against AMD’s RX 6500 XT and RX 6400, or Nvidia’s GTX 1650 Super and GTX 1650. It’s priced slightly lower than the competition, especially looking at current online prices for new cards, with roughly similar features. There are some important qualifications to note, however.

Nvidia doesn’t have ray tracing hardware below the RTX 3050 (or RTX 2060). Similarly, none of the AMD or Nvidia GPUs in this segment support tensor hardware either, giving Intel a potential advantage in deep learning and AI applications — we’ve included FP16 throughput for the GPU cores on the AMD and Nvidia cards by way of reference, though that’s not entirely apples-to-apples.

Intel is the only GPU company that currently has AV1 and VP9 hardware accelerated video encoding. We’re expecting AMD and Nvidia to add AV1 support to their upcoming RDNA 3 and Ada architectures, and possibly VP9 as well, but we don’t have official confirmation on how that will play out. We’ll look at encoding performance and quality later in this review as well, though note that the GTX 1650 uses Nvidia’s older NVENC hardware that delivers a lower quality output than the newer Turing (and Ampere) version.

The Arc A380 has theoretical compute performance of 5.0 teraflops, which puts it slightly behind the RX 6500 XT but ahead of everything else. It’s also the only GPU in this price class to ship with 6GB of GDDR6 memory, with a 96-bit memory interface. That gives the A380 more memory bandwidth than AMD but without Infinity Cache, and less memory bandwidth than Nvidia’s GPUs. Power use targets 75W, though overclocked cards can exceed that, just like with AMD and Nvidia GPUs.

The ray tracing capabilities are harder to pin down. To quickly recap, Nvidia’s Turing architecture on the RTX 20-series GPUs had full hardware ray tracing capabilities, and each RT core can do four ray/triangle intersection calculations per cycle, plus there’s hardware support for BVH (bounding volume hierarchy) traversal. Nvidia’s Ampere architecture added a second ray/triangle intersection unit to the RT cores, potentially doubling the throughput. In practice, Nvidia says Ampere’s RT cores are typically 75% faster, as it can’t always fill all the execution slots. AMD’s RDNA 2 architecture is similar to Turing in that it can do four ray/triangle intersection calculations per Ray Accelerator. However, it uses GPU shaders for BVH traversal, which is slower and more memory intensive.

From what we can ascertain (and we’ve asked Intel for clarification), Intel’s RTUs are similar to Nvidia’s Turing RT cores in that they can do four ray/triangle intersections per cycle. We’re still trying to determine if they include BVH traversal hardware, or if they’re more like AMD’s Ray Accelerators and use GPU shaders for the BVH traversal. It sounds as though they include BVH hardware and might actually be pretty decent.

Still, with only eight RTUs, the A380 definitely won’t be a ray tracing powerhouse — Nvidia for example has 20 or more RT cores in its RTX lineup, or 16 if you include the mobile RTX 3050 in the list, Nvidia’s slowest RTX chip. AMD on the other hand has as few as 12 Ray Accelerators in its RX 6000-series parts, and integrated RDNA 2 implementations like the Steam Deck can have as few as eight RAs, though RT performance understandably suffers quite a lot — not that you need ray tracing, even four years after hardware first supported the functionality.