Technologies
Apple Mac Studio 2023 Review: Still the Creative Choice for Mac
There aren’t many changes to Apple’s midrange desktop. There didn’t need to be.
Like
- Fast and quiet
- Relatively compact
- HDMI 2.1
Don’t like
- M2 Max model has two less Thunderbolt connections than the M2 Ultra
There isn’t a lot to say about the latest generation of the Mac Studio: From a «put it on your desk and use it» perspective, it feels almost exactly like the model that preceded it, with the expected generation-over-generation tweaks we see routinely in laptops and desktops.
In sum, it delivers up to about 20% better performance over the equivalent last-generation M1 chip because it has more CPU and GPU cores, and because of the updated Wi-Fi (from 6 to 6E) and Bluetooth 5.3, it has more stable and potentially much faster wireless. That, plus upgraded HDMI 2.1 — what Apple refers to as «enhanced» HDMI — are certainly important new features, they just don’t change the experience much.
As much as I like the system — and I really do like it quite a lot — it’s a little hard to make a case for the M2 Max model. If you really need CPU and/or GPU power, you’re better off with an Ultra configuration at a not-cheap $4,399 ($3,999 if you lop a terabyte off the storage of our $3,199 test configuration). If you just want the CPU performance and are OK with a decent-ish GPU, the M2 Pro Mac Mini can be had for $1,000 less.
Apple Mac Studio 2023
| Price as reviewed | $3,199, £3,299, AU$5,099 |
|---|---|
| CPU | 3.3GHz Apple M2 Max 12 cores (8P/4E), 16-core Neural |
| Memory | 64GB LPDDR5 unified |
| Graphics | Integrated 38 cores |
| Storage | 2TB Apple SSD, SD card slot |
| Ports | 6x USB-C (2x Thunderbolt 4), 2x USB-A, 1x HDMI 2.1, 3.5mm audio |
| Networking | 10Gbps Ethernet, Wi-Fi 6E (802.11ax), Bluetooth 5.3 |
| Operating system | MacOS Ventura 13.4 |
| Dimensions | 3.7 x 7.7 x 7.7 in (9.5 x 19.7 x 19.7 cm) |
| Ship date | June 2023 |
Many creative apps, notably photo editing, still tend to use CPU resources more than GPU, and the M2 Pro has the same Neural cores as the M2 Max. And, while the Max handles some basic high-res video editing, you can get away with the cheaper model for 4K, but will probably want to bump up for higher resolutions.
Much also depends on what creative applications you’re using as well as how you’re using them. You’ll see a lot more custom MacOS optimization from, say, DaVinci Resolve than Premiere Pro, so throwing money at the Max over the Pro may not help you. And features that might theoretically benefit from more Neural cores (the Ultra has 2x the Max and below), may not perform the processing locally. For instance, the processing for Photoshop’s new Generative Fill takes place remotely, so your system doesn’t really have to do any heavy lifting.
The Pro also has the same encode/decode accelerators as the Max, while the Ultra has twice as many. And the Ultra configuration has two more Thunderbolt ports — its dual Max processor configuration means another Thunderbolt controller — which is important if you plan on using external drives for that.
03:14
That doesn’t mean there isn’t a group of buyers for whom the M2 Max combination of solid CPU and GPU performance is just right for the money — it’s just easier and probably sufficient to go cheaper or necessary to go pricier.
The upgraded HDMI means it can handle a 4K monitor at a refresh rates of up to 240Hz. It does enable variable refresh rate for monitors that support it, and as with the MacBook Pro you don’t have much control over it; you enable it in MacOS and it’s out of your hands.
Aside from gaming, where it’s key for avoiding artifacts caused by the disconnect between game frame rate and display screen update, one of the main reasons for VRR (ProMotion) is to save power on devices like the iPad and iPhone. That’s not a huge issue for a desktop, so unless you’re gaming you’re better off just setting it to a high but fixed rate and leave it.
The port layout is the same as it’s been since the system launched.
If you do plan on gaming, I’d wait for MacOS 14 Sonoma before committing. Depending on how many game developers take advantage of Apple’s DX11/DX12 emulation so you can run Windows games, and depending on how they perform, you may want to adjust your GPU requirements. At the moment, there aren’t many native Apple silicon games; most are mobile games running on top of Apple’s Rosetta emulator. You can run a virtual Windows machine like Parallels, but I’d probably vote Ultra for that.
Performance
Apple silicon’s performance remains remarkably consistent, in the sense that it’s more or less directly correlated with the number of cores (though that doesn’t mean it’s true for any specific application, because they’re too squidgy when it comes to producing generalizable results).
The 38-core GPU in the Studio’s M2 Max delivers about 20% better Metal performance over the 32-core GPU in the M1 Max, almost entirely because of the increase in the number of cores. For a frame of reference, the 38-core performance puts it roughly comparable to an Nvidia GeForce RTX 4060 Ti, at least in one cross-platform benchmark (3D Mark Wild Life Extreme Unlimited), but there are a variety of metrics that simply aren’t reflected by that test.
Read more: Apple MacBook Air 15-Inch Review: Finally, Big for Less
Using it, though, we can extrapolate that the M2 Ultra’s 76-core version should provide a little less than twice that of the 38-core M2 Max and fall a little short of the RTX 4070 Ti. One interesting pattern that I see is that the more GPU cores there are the less you get out of each individual core within a given generation and about a 5% increase per core from M1 to M2.
As we’ve seen with the M1 generation, multicore CPU performance is almost identical for a given core configuration — in other words, the 12-core M2 Pro’s as fast as the 12-core M2 Max — and about 20% faster than the 10-core M1 Max. Because more cores. Single core speed is up by about 14%. For reference, the CPU performance seems about the same as an Intel Core i7-13700H.
I’ve only had a few days with the system, so I’m still sorting out the various performance nuances. I’m comfortable with the conclusions I’ve drawn thus far — it remains the excellent system it was when it debuted last year — but if necessary may update with more about this particular configuration for creative work and gaming.
Cinebench R23 CPU (multicore)
Cinebench R23 CPU (single core)
3DMark Wild Life Extreme Unlimited
Configurations
| Apple Mac Mini (M2 Pro, 2023) | MacOS Ventura 13.2; Apple M2 Pro (12-core CPU,19-core GPU); 16GB LPDDR5 RAM; 1TB SSD |
|---|---|
| Apple Mac Mini (M2, 2023) | MacOS Ventura 13.2; Apple M2 (8 CPU cores, 10 GPU cores); 8GB LPDDR5 RAM; 256GB SSD |
| Apple Mac Studio (M1 Max, 2022) | MacOS Monterey 12.3; Apple M1 Max (10 CPU cores, 32 GPU cores); 64GB RAM; 2TB SSD |
| Apple Mac Studio (M2 Max, 2023) | MacOS Ventura 13.4; Apple M2 Max (12 CPU cores, 38 GPU cores); 64GB RAM; 2TB SSD |
| Apple MacBook Pro (14-inch, 2021) | MacOS Monterey 12.4; Apple M1 Pro (10 CPU cores, 16 GPU cores); 32GB LPDDR5 RAM; 1TB SSD |
| Apple MacBook Pro (16-inch, 2021) | MacOS Monterey 12.4; Apple M1 Max (12 CPU cores, 32 GPU cores); 32GB RAM; 512GB SSD |
| Apple MacBook Pro (16-inch, 2023) | MacOS Ventura 13.2; Apple M2 Pro (12 CPU cores, 19 GPU cores); 32GB LPDDR5 RAM; 1TB SSD |
Technologies
Today’s NYT Connections Hints, Answers and Help for May 24, #713
Hints and answers for Connections for May 24, #713.
Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.
Today’s Connections puzzle has a fun variety of categories. The purple one appeals to my English major heart. Read on for clues and today’s Connections answers.
The Times now has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.
Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time
Hints for today’s Connections groups
Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group, to the tough (and sometimes bizarre) purple group.
Yellow group hint: Goo-goo.
Green group hint: Not shirts.
Blue group hint: City that never sleeps.
Purple group hint: Acclaimed writers.
Answers for today’s Connections groups
Yellow group: Baby gear.
Green group: Kinds of pants minus «s.»
Blue group: New York sports team members.
Purple group: Black women authors.
Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words
What are today’s Connections answers?
The yellow words in today’s Connections
The theme is baby gear. The four answers are bib, bottle, monitor and stroller.
The green words in today’s Connections
The theme is kinds of pants minus «s.» The four answers are capri, jean, jogger and slack.
The blue words in today’s Connections
The theme is New York sports team members. The four answers are Jet, Met, Net and Ranger.
The purple words in today’s Connections
The theme is black women authors. The four answers are Butler, Gay, Hooks and Walker.
Technologies
Today’s NYT Mini Crossword Answers for Tuesday, May 20
Here are the answers for The New York Times Mini Crossword for May 20.
Looking for the most recent Mini Crossword answer? Click here for today’s Mini Crossword hints, as well as our daily answers and hints for The New York Times Wordle, Strands, Connections and Connections: Sports Edition puzzles.
Today’s NYT Mini Crossword is a fun one, and now I’m singing the song from 1-Across in my head. Need some help with today’s Mini Crossword? Read on. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.
The Mini Crossword is just one of many games in the Times’ games collection. If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.
Read more: Tips and Tricks for Solving The New York Times Mini Crossword
Let’s get at those Mini Crossword clues and answers.
Mini across clues and answers
1A clue: «Pink ___ Club» (Chappell Roan hit)
Answer: PONY
5A clue: Instrument that might be made with a comb and wax paper
Answer: KAZOO
6A clue: How bedtime stories are often read
Answer: ALOUD
7A clue: On edge
Answer: TENSE
8A clue: Short Instagram video
Answer: REEL
Mini down clues and answers
1D clue: Less colorful
Answer: PALER
2D clue: Layer of the upper atmosphere
Answer: OZONE
3D clue: Totally pointless
Answer: NOUSE
4D clue: Hit a high note in a high place, perhaps
Answer: YODEL
5D clue: Kit ___ bar
Answer: KAT
How to play more Mini Crosswords
The New York Times Games section offers a large number of online games, but only some of them are free for all to play. You can play the current day’s Mini Crossword for free, but you’ll need a subscription to the Times Games section to play older puzzles from the archives.
Technologies
Want to Speak to Dolphins? Researchers Won $100,000 AI Prize Studying Their Whistling
The scientists studied a bottlenose dolphin community in Sarasota, Florida, uncovering evidence of language-like communications.
If any dolphins are reading this: hello!
A team of scientists studying a community of Florida dolphins has been awarded the first $100,000 Coller Dolittle Challenge prize, set up to award research in interspecies communication algorithms.
The US-based team, led by Laela Sayigh of the Woods Hole Oceanographic Institution, found that a type of whistle that dolphins employ is used as an alarm. Another whistle they studied is used by dolphins to respond to unexpected or unfamiliar situations. The team used non-invasive hydrophones to perform the research, which provides evidence that dolphins may be using whistles like words, shared with multiple members of their communities.
Capturing the sounds is just the beginning. Researchers will use AI to continue deciphering the whistles to try to find more patterns.
«The main thing stopping us cracking the code of animal communication is a lack of data. Think of the 1 trillion words needed to train a large language model like ChatGPT. We don’t have anything like this for other animals,» said Jonathan Birch, a professor at the London School of Economics and Politics and one of the judges for the prize.
«That’s why we need programs like the Sarasota Dolphin Research Program, which has built up an extraordinary library of dolphin whistles over 40 years. The cumulative result of all that work is that Laela Sayigh and her team can now use deep learning to analyse the whistles and perhaps, one day, crack the code,» he said.
The award was part of a ceremony honoring the work of four teams from across the world. In addition to the dolphin project, researchers studied ways in which nightingales, marmoset monkeys and cuttlefish communicate.
The challenge is a collaboration between the Jeremy Coller Foundation and Tel Aviv University. Submissions for next year open up in August.
Dolphins are just the beginning
Researching animals and trying to learn the secrets of their communication is nothing new; but AI is speeding up the creation of larger and lager datasets.
«Breakthroughs are inevitable,» says Kate Zacarian, CEO and co-founder of Earth Species Project, a California-based nonprofit that also works in breaking down language barriers with the animal world.
«Just as AI has revolutionized the fields of medicine and material science, we see a similar opportunity to bring those advances to the study of animal communication and empower researchers in this space with entirely new capabilities,» Zacarian said.
Zacarian applauded Sayigh’s team and their win and said it will help bring broader recognition to the study of non-human animal communication. It could also bring more attention to ways that AI can change the nature of this type of research.
«The AI systems aren’t just faster — they allow for entirely new types of inquiry,» she said. «We’re moving from decoding isolated signals to exploring communication as a rich, dynamic, and structure phenomenon — whish is a task that’s simply too big for our human brains, but possible for large-scale AI models.»
Earth Species recently released an open-source large audio language model for analyzing animal sounds called NatureLM-audio. The organization is currently working with biologists and ethologists to study species including carrion crows, orcas, jumping spiders and others and plans to release some of their findings later this year, Zacarian said.
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