Technologies
Intel Arc A750 LE Graphics Card Review: A Sub-$300 Speed Champ
But it doesn’t score quite as high on stability.
Intel came very (very) late to the party with its desktop graphics cards, so it’s not surprising that they feel like a bit of a work in progress compared to veterans like Nvidia and AMD.
From a price and specs perspective, the A750 competes with Nvidia’s budget GeForce RTX 3050, which also falls roughly into the $250 to $300 price band. Intel dropped the price from $300 to $250 in February, but the market doesn’t seem to have totally caught up with that yet.
Like
- Good price for its performance
- AV1 encoding support
Don’t Like
- Experienced some instability
- large for its performance class
The Arc line currently includes a sub-$150 8GB entry-level Arc A380 and upmarket A770, which comes in two flavors: an Intel Limited Edition, with 16GB VRAM, and one available through board partners such as ASRock and Acer. The latter cards have bulked-up specs, notably four additional Xe graphics cores and faster clock speeds. So for less memory-demanding 1080p gaming the 8GB A770 might provide a little lift over the A750 — but it may not be worth the extra cash, depending on what they’re going for at any moment.
I’m not convinced the 16GB version makes a lot of sense. If you need that much memory, say for video editing or 1440p-plus gaming, you’re going to want more powerful components.
Intel Arc A750 Limited Edition
| Intel Arc A750 Limited Edition | |
|---|---|
| Memory | 8GB GDDR6 |
| Memory bandwidth (GBps) | 512.0 |
| Memory clock (GHz) | 2.0 |
| GPU clock (GHz, base/boost) | 2.1/2.4 |
| Memory data rate/Interface | 16Gbps/256 bits |
| Render Slices/RT cores | 4/28 |
| Texture mapping units | 224 |
| Tensor Cores | 448 |
| Process | 6nm |
| TGP/min PSU | 225/600W |
| Max thermal (degrees) | 194F/90C |
| Bus | PCIe 4.0×16 |
| Size | 2 slots; 11.1 inches long (282mm) |
| Connections | 3 x DP 1.4, 1 x HDMI 2.0 |
| Current list price | $249 |
| Ship date | October, 2022 |
You can get surprisingly reasonable 1440p performance out of the A750, especially if you’re aggressive with XeSS (Xe SuperSampling), the company’s upscaling technology a la Nvidia’s DLSS or AMD’s FidelityFX Super Resolution.
Keep in mind that if you’re upgrading an old system you may not get claimed (or as tested) performance. And by «old» I mean pre-2020 or earlier than Intel’s 10th-gen and AMD’s Zen 3 desktop CPUs. That’s because best performance requires resizable BAR support, which lets the CPU store its game-related data in the GPU’s VRAM rather than system RAM so the GPU doesn’t have to traverse the system bus to retrieve it. But the same RBAR performance caveat applies to most recent GPUs.


The A750 LE is a full-length card.
Lori Grunin/CNETThe visible design aspects are pretty typical for a GPU: two fans on one side, vents on top and bottom and out the end. It’s heavy for its class, but there’s a lot of metal and thick, sturdy plastic. You can add a waterblock, though I could only find a couple compatible ones, one of which costs as much as the card. And removing the backplate can potentially get ugly, since it’s glued rather than screwed on. (I didn’t disassemble mine, but TechPowerUp has a nice teardown of it.)


The A750 takes up two slots.
Lori Grunin/CNETPerformance
I’ve compared the A750 to the RTX 3060, since the EVGA RTX 3050 I reviewed is no longer produced — the company left the business in September 2022. The Asus Dual RTX 3060 OC is more expensive by about $100, but isn’t always the faster card. And even where the A750 lags it, for 1080p gaming it doesn’t do so by much. The RTX 3060’s 12GB of VRAM helps when you bump up resolution or do graphics work, but the newer architecture of the A750 means it acquits itself better than the two-year-old 3060 on operations like ray tracing. And because it’s not an old entry GPU, it supports AV1 encoding (for better streaming performance), while other low-end — Nvidia and AMD’s entry- and midlevel GPUs are still based on last-gen architecture.
My biggest gripe about the A750’s performance, though, isn’t about frame rates, it’s about the driver and related software. Some conflict with my network card — an Intel Wi-Fi 6E AX211 — made my system report it as having failed in Event Viewer, despite all indications to the contrary. It was still operational, though. But I never would have seen those event reports had I not been trying to track down the cause of freezes/BSODs. Removing the card and uninstalling the driver restored stability. Could be correlation, not causation, but I haven’t seen a BSOD in a long time.
Intel also configures its Arc Control Utility’s default well below the card’s stated maximum power consumption — 190 watts vs. 228 watts — which makes sense. For one thing, I saw only about a 4% frame-rate increase bumping it to 215 watts. But it also runs hot once you start playing with the overclocking settings, easily hitting its 90C maximum (and slightly above), and definitely hot enough to start exhibiting display glitches.
Overclocking anything runs the risk of system instability, but Arc Control doesn’t make it easy (or less tedious) to iterate through the possibilities.
These kinds of issues are normal for early generations of GPU technologies, and Arc is just a baby, which makes it a hard call against veteran competitors. But if you want something fast for less than $300, the Arc A750 is an attractive proposition. Just keep in mind you may have to change some GPU diapers.
Relative performance of comparable GPUs
Shadow of the Tomb Raider gaming test (1080p)
Note:
Longer bars indicate better performance (FPS)
Guardians of the Galaxy (1440p)
Note:
Longer bars indicate better performance (FPS)
3DMark Time Spy
Note:
Longer bars indicate better performance
3DMark Speed Way (DX12 Ultimate)
Note:
Longer bars indicate better performance
SpecViewPerf 2020 SolidWorks (1080p)
Note:
Longer bars indicate better performance (FPS)
3DMark DXR (DirectX Ray Tracing)
Note:
Longer bars indicate better performance (FPS)
Test PC configuration
| Custom PC | Microsoft Windows 11 Pro (22H2); 3.2GHz Intel Core i9-12900K; 32GB DDR5-4800; 2x Corsair MP600 Pro SSD; Corsair HX1200 80 Plus Platinum PSU, MSI MPG Z690 Force Wi-Fi motherboard, Corsair 4000D Airflow midtower case |
|---|
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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