Technologies
GeForce RTX 4070 GPU Review: It Hits the Bull’s-Eye of the Middle
From high 1080p gaming to low 4K, as well as for midrange graphics and video production, Nvidia’s RTX 4070 graphics card has got it covered.
Nvidia’s latest throwdown in the GPU arena, the GeForce RTX 4070 seems like the most well-rounded meat-and-potatoes gaming card choice you can get — at least for the moment. It’s a first-rate option for upgrading to high-speed, highest quality 1080p through entry 4K gaming, hitting all of 1440p in between. Covering that much ground means you should be safe for a few years until you’re ready to upgrade again. It’s good for 4K video editing, most streaming and entry-level pro and AI-assisted graphics. The size and power requirements make it a good fit for midsize systems. And starting at $600, it’s the least expensive way to hit all those targets.
Like
- Well-rounded performance for the money
- Only takes two slots
Don’t Like
- Needs adapter or PCIe 5 power connectors
The step-up RTX 4070 Ti outperforms it, sometimes by quite a bit, thanks to its faster GPU clock and more cores across the board, which makes the 4070 Ti a tempting competitor for the same gaming performance classes as the RTX 4070. But it’s at least $200 more (although who knows what the 4070’s price range will settle at once the third-party boards start to ship on April 13), recommends a class higher of power supply and takes up more space. Though the 4070 Ti only needs a half-slot more width, that means it will block an entire second slot on many motherboards, and it might not even fit in some smaller systems.
Nvidia GeForce RTX 4070 Founders Edition
| Memory | 12GB GDDR6X |
|---|---|
| Memory bandwidth (GBps) | 504.2 |
| Memory clock (GHz) | 11 |
| GPU clock (GHz, base/boost) | 1.92/2.475 |
| Memory data rate/Interface | 21Gbps/192 bits |
| RT cores | 46 |
| CUDA Cores | 5888 |
| Texture mapping units | 184 |
| Streaming multiprocessors | 46 |
| Tensor Cores | 184 |
| Process | 4nm |
| TGP/min PSU (watts) | 200/650 |
| Max thermal (degrees) | 194F/90C |
| Bus | PCIe 4.0×16 |
| Size | 2 slots |
| Launch price | $600 |
| Ship date | April 12, 2023 |
AMD’s RX 7900 XT and RX 7900 XTX also outperform the RTX 4070, but they’re even more expensive than the RTX 4070 Ti and can’t keep up with the RTX 4070 for ray tracing. They’re also 2.5 slots thick like the 4070 Ti. And though it sounds tempting to opt for a last-generation GeForce model, they aren’t really cheaper unless you drop below an RTX 3070. But at that point you’ve also dropped down to a different performance class.


The RTX 4070 FE’s power connector.
Lori Grunin/CNETOne reason to go for an RTX 40-series class card over an older generation is the jump from DLSS 2 to DLSS 3, Nvidia’s performance optimization technology, that the newer Ada architecture made over Ampere. DLSS 3 delivers significant gains over its predecessor. The downside is that there aren’t a lot of DLSS 3-supporting games out yet — only about 50, which isn’t much out of the universe of thousands of games. But it does bump DLSS 2 performance over the RTX 30-series as well.
It was a bit odd that Nvidia didn’t release a home-grown Founders Edition of the 4070 Ti, but it returned to tradition with the 4070; the Founders Editions are notable for having guaranteed as-launched prices, though they also tend to sell out fast for that reason.
There’s little novel about the RTX 4070 FE’s design relative to the rest of the line. The one notable distinction is the power connector, which like the others needs either the bundled adapter or PCIe 5.0 PSU cables/adapters, but only uses a single 12-pin connection (rather than two).


Like its siblings, the RTX 4070 FE has three DisplayPort 1.4 connections and one HDMI 2.1.
Lori Grunin/CNETCompanies release the highest priced, highest performing model, wait a little while to see how many people snap it up, then release a slightly cheaper, slightly less powerful model, rinse and repeat. And none do it more consistently than Nvidia. That makes offering informed buying advice harder than necessary: We know that slower, cheaper GPU models are coming, but not how much slower or how much cheaper.
I wouldn’t be surprised if there were a 4060 Ti in our future that makes an incremental drop that’s worth the performance sacrifice for the price savings, the way the RTX 4070 did subsequent to my review of the RTX 4070 Ti. But for the moment, the GeForce RTX 4070 seems to strike the best balance of performance for the money, and one that should keep you happy for a few years.
Relative performance of other GPUs
Shadow of the Tomb Raider gaming test (1440p)
Note:
Longer bars indicate better performance (FPS)
3DMark Time Spy graphics test
Note:
Longer bars indicate better performance
3DMark Fire Strike Ultra
Note:
Longer bars indicate better performance
Guardians of the Galaxy (1440p at maximum quality with ray tracing)
Note:
Longer bars indicate better performance (FPS)
Procyon Video
Note:
Longer bars indicate better performance
SpecViewPerf 2020 SolidWorks (4K)
Note:
Longer bars indicate better performance (FPS)
3DMark Speed Way (DX12 Ultimate)
Note:
Longer bars indicate better performance
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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