M2 pro pytorch reddit So many better features, and there’s reports of thermal and slow SSD speeds on the m2 pro. M3 Pro might have slightly better battery life as well. M2 Pro and M3 Pro perform nearly the same everywhere except on CPU single threading, where M3 Pro has a 15% advantage. I can’t really decide whether the M2 Pro MBP’s Wi-Fi 6E, HDMI 2. The 10-core SoC will be faster. It seems like it will take a few more versions before it is Hi all, as the title says, has anyone done any ML training benchmarks on the M2 Pro/Max chips yet? Either with PyTorch or TF? CPU version: my new m2 max is not much faster than my a Apple M2 Pro 16-Core GPU (base model ) or a NVIDIA GeForce RTX 3060 Ti ( with ryzen 6800h or i7 12th gen and 16 gb ram ) is better for machine learning? Recently, I have been working on another project, and the training speed is much lower than expected, so I googled utilizing GPU on M1/M2 chip again. Please recommend which one is going to be best. Went in for the air, ended up ordering M4 pro 256 gb. In this hypothetical case I present, where you need 20 GB of RAM, you may even do better with a Mac mini with M2 and 24 GB RAM—$1,199. Valheim; Genshin Impact; Minecraft; Not quite, the M2 Pro is a couple hundred points behind in single thread but still a few thousand points higher in multicore performance. I also assume all the M2 Pro models are new unopened. Workflow is music production in logic pro, but not video. i am getting a gift card with the black friday deal with apple too so id probably be paying around 1900-2000 with the gift card for the m3. The M2 Macbook Pro, 8 Core CPU, 10 Core GPU, 8GB Unified Memory and 512GB SSD Storage was $2300 - I managed to get it for $2068 due to discounts and a price beat from the company I bought it from. I bought the standard 16 GB, 512 SSD M2 Pro Mac Mini. The studio has a lot more ports and I find I never have enough ports on a Mac and front side ports would be really nice. Trying to figure out whether to buy the M1 Pro 16" for $1929, or the M2 Pro 16" $2119. RTX 3090 offers 36 TFLOPS, so at best an M1 ultra (which is 2 M1 max) would offer 55% of the performance. You gain this back if you go to the M3 Max, but then you spend a LOT more and get features that Agreed. Which one is the better choice based on performance, ease of use and other factors. If you're buying a machine primarily for machine learning, you should definitely consider a PC. 5 hours worse relative to M2 Pro and M3 Pro. None of the rumors for the 2022 version sound compelling enough to pass up the sale price ($999 for the iPad & $299 for the keyboard). Premiere can play this footage with ease 95% of the times. I dunno, thats just me, a historical apple laptop owner and current 16” m2 max macbook pro owner, who also owns a ps5. Reddit posts talking about Macbook Air M2 8Gb Vs 16Gb used in the summary. This gives you clearer sound for Will be buying refurbished since everyone seems to be praising it. But if you need raw power for video editing, might as well just go for a 14in or 16in pro. This is the home of the wedding photographer community on Reddit and the place for wedding photographers, second photographers, assistants, and those aspiring to be wedding photographers. It needs to be banner flown by airplane over every reddit user's house. I play mainly World of Warcraft and get absolutely brilliant FPS even in crowded areas with settings at 10 (ultra settings equivalent) My lowest is around the 65fps mark and the highest I’ve achieved is 125fps. The difference between these two in cost is ~$250. 1 has been on the market for ages. Join us on discord: bit. However, the M2 Pro has 4 more threads than the M3 Pro. This is something I posted just last week on GitHub: When I started using ComfyUI with Pytorch nightly for macOS, at the beginning of August, the generation speed on my M2 Max with 96GB RAM was on par with A1111/SD. 6 TFLOPS, this is probably the closest thing to M3 base. I am planning to buy a MacBook Pro for my PhD Studies. Generally speaking more research code being available in pytorch is also a reason why people learn it more. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. ) However, after reading a few reviews, I decided to cancel my order and instead purchased a refurbished 16" MacBook Pro with M2 Max and a 38-core GPU, without any additional cost. I take really good care of my stuff but want this thing to last a long time and don't plan on replacing it for years. I first was trying to decide between getting the base M3 and the m2 air, but most people recommended getting the pros over the air. judging from the past, with how well the these apple silicon models sell, it’s unlikely apple will allow any discount higher than $400 on the base (there have been $500+ discounts on higher configs, but not the base one). Do you think there would be any difference between the battery life of the two models? My friend claims that M2 Max is a faster chip and would need more power and hence would give lower battery life. (Lower memory bandwidth, less power cores). And this is only when you are at full load. Private in protest to Reddit’s handling of API rules. But woke up and couldn’t justify the price no matter what angle I looked at it 🥴🥴🥴🥴 I have a 2022 air 5 w/pencil 2 and Magic Keyboard so what id get selling that combo justified the 256 pro’s price lol. 264 4K 100FPS 10 bit 422 on my Sony A7S3. You get extra thunderbolt ports. It turns out that PyTorch released a new There is no right answer because GPUs are a hierarchy of "compute units" clustered together to share more and more items. So still looking for a better benchmark. Get the Reddit app Scan this QR code to download the app now. But the M2 Max gives me somewhere between 2-3it/s, which is faster, but doesn't really come close to the PC GPUs that there are on the market. One thing for any new peripherals: Do not cheap out and buy the right thunderbolt 3 cables. Ultimately, the decision comes down to your budget, seller pricing, and how much you value the newer status of M3 Pro. PyTorch Runs On the GPU of Apple M1 Macs Now! - Announcement With Code Samples . How feasible is it to use an Apple Silicon M2 Max, which has about 96 GB unified memory for "large model" deep learning? I'm inspired by the the Chinchilla paper that shows a lot of promise at 70B parameters. I've been trying to use the GPU of an M1 Macbook in PyTorch for a few days now. A cooling pad and maybe throw in an extra fan on a hot day the computer will run at 100% for days. In this article from Sebastian Raschka, he reviews Apple's new M1 and M2 GPU and its support for PyTorch, along with some early benchmarks. 5 TFLOPS) is roughly 30% of the performance of an RTX3080 (30 TFLOPS) with FP32 operations. It's agreed that bass and treble are trimmed a little and the overall sound seems a little bit muted. The advantages of the touch bar pro is shrinking by the Hi, I will be buying the new 2023 Macbook Pro with the M2 Pro chip (I do not need the mostly graphic boost that M2 Max provides) – I am just not sure whether to choose the base 16 GB RAM or the optional 32 GB RAM upgrade. Same. Similar measurements with TG Pro, cooler computer now. the only The maxed out m2 pro chip gives you a few more audio tracks. However, I haven't heard anyone discussing this yet. Chews through anything I give it, though, but likely so would the Pro. Internet Culture (Viral) Amazing; Animals & Pets 16" M2 Pro with 32gb RAM and 512gb SSD 14" M3 Pro (11-Core) with 36gb RAM and 1TB SSD 16" M3 Pro (12-Core) with 18gb RAM and 512gb SSD The Macbook Air 15inch M2 with 24GB of memory and 1TB harddrive is going to run me $3109AUD. The M1 was lacking because it maxed out at 16GB ram which is not quite enough. As a software engineer with an M2 iPad Pro, who has also tested it with coding here’s my verdict: you’re better off buying a laptop. but never match the 3050. If the M2 Pro is not out by around Q3 this year, I'd probably just pull the trigger on maybe the Asus x16 or any of the 14" laptops with an OLED. A local store is Generating a 512x512 image now puts the iteration speed at about 3it/s, which is much faster than the M2 Pro, which gave me speeds at 1it/s or 2s/it, depending on the mood of the machine. The M2 solves that problem by offering 24GB. Bought another. In a MacBook Pro, the internal display is counted as 1 display so a M2 Pro MBP supports 2 external monitors. 32gb ram in the M2 Pro would run me 2900 (with 1tb storage). compare: Mac Studio M2 Ultra, 800 GB/s; Mac Mini M2 Pro, 200 GB/s Get the Reddit app Scan this QR code to download the app now. sh' terminated by signal SIGILL (Illegal Photoshop for iPad, Final Cut Pro & Logic Pro for iPadOS, Procreate Dreams (not out yet), The upcoming AAA releases (it's been confirmed that every one that releases for the iPhone 15 Pro will also release on the silicon powered iPads) and the small handful of games that support ProMotion like Genshin Impact or Call of Duty Mobile. Hey guys, i’ve been posting a bunch of stuff on this sub recently cause i’m trying to decide between a few Macbook pros. And M2 Ultra can support an enormous 192GB of unified memory, which is 50% more than M1 Ultra, enabling it to do things other chips just can't do. Picked up a 12. M2 Pro will be faster on the CPU side, while M1 Max will still have faster GPU (even though the speed of the GPU in all M2 versions have improved over M1). I usually have don’t think the base 14” m1 could go any lower. 9 inch iPad M1 as a replacement for six months; finally caved for the MacBook for work. All things are For yall to reference- the pricing I was looking at is in AUD, and includes tax. 16 votes, 70 comments. 5 hr, 2. Gaming. This is the 14" model. View community ranking In the Top 1% of largest communities on Reddit. The only difference you will feel is: Battery life difference. Works, iPhone/iPad; Silver, French macbook m3 pro - price That being said I’m doing most of my ML on a Mac Studio M1 Max with 32GB of unified memory and it’s adequate but performance is much better on my MB Pro with m2Max and 96GB of Unified memory. 599 is a good price for the 14" body and "Pro" features but is REALLY NOT a Refurb 16gb Ram M2 Pro its Better in Spec1: MacBook Air with 8x CPU, 10xGPU, M2, 512SSD, 16GB RAM Spec2: MacBook Pro with 10x CPU, 16x GPU, M2 Pro, 512 SSD, 16GB RAM Looking at 14”/13. For our experiments we need to install PyTorch on the Apple M1 and M2 hardware. i play wow on my m1 macbook air 8GB. Internet Culture (Viral) Amazing; Animals & Pets BTW, I also initially wanted 12-core M2 Pro 16GB 1TB and ended up with M2 Max instead. 06 USD Colour: Space Grey Very good condition (no exterior damages, free of dents, scratches & nicks) M2 Pro (12 Core CPU, 19 Core GPU) 16 GB RAM 512GB SSD Battery Condition: Normal, 18 Batt The Pro is better in performance due to the M1 Pro and the fan, but it's thick and might be hard to carry around. BoBoVR: Relatively expensive, compared to other third party offerings (I paid $35 for my third-party strap). To this day, it’s still a nightmare running frameworks like TensorFlow or PyTorch. It has two more performance cores than M3 Pro + is basically identical hardware w/ wifi 6E, etc. I actually bought the M2 Pro 16" new at the Apple Store but returned it after hearing how good Refurbished supposedly is and felt I got a bad deal for buying full price. Considering that M2 base has 3. /webui. Most apps don’t utilize the chip fully. My M1 has 16GB ram. M1 Pro vs 3060 Mobile . Apple M2 Pro with 12-core CPU, 19-core GPU, 16-core Neural Engine 16GB unified memory 1TB SSD storage 10 Gigabit Ethernet HDDs Hi all I qualify for student pricing a new M2 pro 16 inch 1tb/16gb ram is 2499$ and an apple refurbished one is $2289 Is it worth going for the apple People compare the base 8/256 M2 to the 16/512 M2 Pro and showcase the difference between them. performance-wose, is it hugely noticeable from the M1 Pro 14'' at 65c feels like M2 Pro 14'' at 45c. I was going to buy a macbook air M2 next year anyway for different reasons but if it will support pytorch then I'm considering buying it early. "Finally, the 32-core Neural Engine is 40% faster. I’m choosing between an Apple certified refurbished M1 and a new M2 iPad Pro. regular $1900. I have been using an M1 iPad Pro since July and it has been fantastic. A lot of people were surprised that this specific Mac (touchbar and all) still exists now we have the updated Air and 14” Pro. From Zen1 (Ryzen 2000 series) to Zen3+ (Ryzen 6000 series), please join us in discussing the future of mobile computing. And 16gb Ive got 2x 4090's and currently in the checkout process for a 192gb Studio M2 Ultra, the 4090's are fast as absolute balls when the model+kv fits entirely but once it hits swap or offloading, it slows to a crawl. Outperforming ultra large models like Gopher (280B) or GPT-3 (175B) there is hope for working with < 70B parameters without needing a super computer. So I think I should buy it from the USA. Reply Spiritual-Theme-5619 Reddit: Apple needs to slow down and stop doing these meaningless updates. Sure, it has 2 less performance cores and 6 less GPU cores than the M2 Pro, but you haven't told us what you need a Mac for so I don't know if you are even utilizing the full capabilities of the M2 Pro. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. PyTorch supports it (at least partially?), you can ˋdevice = "mps"` and you’re good. However on Amazon, i've found the Macbook Pro 14inch M1 Pro, with 16GB of memory and 1TB harddrive for $3238AUD. In my code , there is an operation in which for each row of the binary tensor, the values between a range of indices has to be set to 1 depending on some conditions ; for each row the range of indices is different due to which a for loop is there and therefore , the execution speed on GPU is slowing down. There is a 2d pytorch tensor containing binary values. I like having a laptop where I don't have to worry about that too much. Hopefully OS updates will fix things down the road. However, if you want to do other things like video rendering, the Pro will have a slight edge. Recently got a MacBook Pro 16ich M2 Pro with 16GB RAM and 1TB SSD. Reply reply More replies. Incidentally, the M2 pro is only $100 more than the 24gb spec'd M2, however it has only 16gb of RAM. The 512GB M1 was around 3000 MB/s faster than the M2 512GB. Use case: Usual email, web, personal reading Mac Mini M2: RAM upgraded to 16gb and 512gb ssd vs Mac Mini M2 Pro base: 16gb and 512gb ssd thoughts on this one? i haven't seen a good review in youtube yet. I suggest going through some basic tutorials from their website. 2k @ 144Hz should be doable but I would recommend you use USB-C to DisplayPort adapters/cables and not HDMI cables (if possible). Although I was super tempted to getting one with the nano screen. The 2 major differences are the M1 14 Pro has way better and louder speakers for some reason than the M2 14 Pro (Nobody knows why, apple just dropped the ball with the M2 Pro line's speakers). Mark Gurman's original prediction for the M2 series was as follows: M2: eight CPU cores and nine or 10 graphics cores M2 Pro: 12 CPU cores and 16 graphics cores M2 Max: 12 CPU cores and 32 graphics cores I bought an M1 Pro 11 last month on sale and a M2 this month because it was on a fire sale. How is your experience? you may think a $1. if its I am undecided between M2 Pro vs M2 Max for a 16-inch MBP. I don’t think there much more difference from the cut down m2 pro other than the few extra audio tracks. This article dives into the Both seem to show a huge gulf in performance between PyTorch using the M1/M2 GPUs and PyTorch using NVidia GPUs even old cards like the 1080Ti from 2017. I feel like if this specific sub-$2k MacBook needs to exist then it would be better served as a souped up Air or lower end 14” Pro, rather then this weird parts bin Mac that looks like it’s from another era. This still means 3000+ MB/s read/write on the base model, which is very fast. #=====# The goal of this community is to provide a wide variety of Pytorch support for MPS on M1 Macs is spotty and does not perform as well as CUDA even when it works. The same specs but with the base Max chip (11 more gpu) with Apple care for 3 years is $4699. Sorry for the long answer, I thought it may be For multi-core tasks, the 9-core Air M2 will be around 90% of the performance of the 10-core Pro M2 Not all tasks are multi-core though Note that the M2 Pro also has other advantages over the M2 Air, including: 120Hz display with ProMotion FaceID Better The 13" MacBook Air M2 suffers from a very poor position in the Apple lineup. WTS: Apple iMac 27-Inch 5K Display Core i5 1TB RAM 32GB Memory With Arabic I am definitely going to up the RAM to 24gb and get the M2, but curious if the PRO is worth the additional cost for my needs or if it's more for video editors/3d rendering etc. when train neural networks I'm limited to using a cpu-based version of the Pytorch programming library rather than the gpu-accelerated version). $11K - Rackmount M2 Ultra Mac Pro w/ 192GB RAM / 2TB SSD; presumably the PCIe can be used for additional storage but unlikely to be able to support extra ML GPUs The cheapest price I've seen for a new 80GB A100 is $15K, although I've seen some used ones for <$10K. Gaming $1709 on amazon for the m2 pro but with 8gb of ram lol. (e. In the ANA2 test MacBook ran 66 and iMac ran 75. However the photo's of the die's show a much different layout. 05x faster CPU speed than the M3 Pro, but the M3 Get app Get the Reddit app Log In Log in to Reddit. The M2 has a 2. Other then the hover feature and battery life, the M1 and M2 iPad Pros are identical. Problem is gone. So opinions vary. M3 (base) doesn’t outperform the M2 Pro, I don’t know what you’re smoking. Yes the M2 Pro processor is better for video editing mainly blender rendering than even M1 Max with being nearly 3 times better at it than the M1 Pro. g. so now i’m trying to figure out if I should get a new M3 base or a refurbished M2 pro. I had a M2 Pro for a while and it gave me a few steps/sec at 512x512 resolution (essentially an image every 10–20 sec), while the 4090 does something like 70 steps/sec (two or three images per second)! Recently bought my first apple Silicon Mac. weird?--- Final update: Returned the unit. (conda install pytorch torchvision torchaudio -c pytorch So the added fan is not that big of a deal. 1 subscriber in the Ai_mini_PC community. I know it works for NVIDIA but I'm seeing mixed answers on whether it's supported by macbook M1/M2. M3 Pro will also have a huge advantage when ray tracing, but M3 Pro is unlikely to be performant enough to actually take advantage of ray tracing anyways. I recently purchased a MacBook Pro M2 14-inch, and everywhere I go, the only thing people talk about is video editing. Search privately. I am using pytorch to make a CNN and the dataset is only 1536 images In general, image generation on MPS is slow, even on an M2 Max. Internet Culture (Viral) Amazing; Animals & Pets to 4 base model mac studios m2 pro with 32gb of ram. I'm currently a medical student so I won't use demanding things on it. Think that in MacBook pro M3 pro price I can buy M3 Max with 64 GB ram🤣. below are the specs macbook m2 pro 2339 cad Apple 2023 MacBook Pro Laptop, Apple M2 Pro chip, 10‑core CPU and 16‑core GPU: 14. Or check it out in the app stores Apple M2 Max and M2 Pro become PassMark's laptop CPU single-thread top dogs but Raptor Lake-HX is yet to strike or are AI engineers who launch their finalized tensorflow/pytorch workloads onto GCP or AWS anyway? A lot. Members Online. I use Final Cut Pro and Logic, which are more CPU-heavy (not really GPU-heavy AFAIK). Hdmi 2. Besides that, I'm still able to do a ton of (software/robotics Macbook Pro M2 16" Price S$2600 ≈ $1,930. This is a What is your opinion on someone going with the m2 pro chip with 1 T but also upgrading to 32 gb ram. Is Macbook Pro 14 Inch 16 GB M2 Pro good choice for regular ML related work and SSHing into a Windows machine (for ML/CV work with Pytorch)? Hi all. I believe the difference is only around 20%. The key difference between the devices: - The Pro has a 100 nits brighter screen. With the M2 air I’m going to get a $150 student gift card so I’ll be using that gift card to purchase an external SSD so I’m getting a 256gb SSD M2 The day before yesterday I was just deciding whether to buy an iPad pro M2 or an Air m1. However, the Air would be a base model with 512GB storage and 8GB ram. Still a much faster chip than the normal not sure about the gaming side, but from my research (just bought a m1 pro, first time mac user), the M2 pro is not worth it. 2-inch Liquid Retina XDR Display, 16GB Unified Memory, 512GB SSD Storage. For setting things up, follow the instructions on oobabooga's page, but replace the PyTorch installation line with the nightly build instead. There are some pro apps that do this and even some games, such as Divinity Original Sin 2. Or check it out in the app stores TOPICS. And idk why people downvoted the OP. The Oculus Pro strap is 33% (1/3rd) of the cost of a Quest 2, or three decent games. I mostly shoot H. The best privacy online. im torn between m2 pro and m3 pro. Now, great battery life is an important requirement. I am using pytorch to make a CNN and the dataset is only 1536 images M1 Pro 16” MBP - $2079 (Apple refurbished) M2 Pro 16” MBP - $2499 The RAM and SSD specs are the same for both: 16GB/1TB. Reply reply More replies More replies. I agree that all three chips (M1 Pro, M2 Pro anf M3 Pro) likely meet my needs just fine, but it is enough of an oddity that it bothers me a bit. Verizon: Gen 2 HomePod Try out pytorch-lightning if you want to have it taken care of automatically. It was $1600. 2 TFLOPS. With Pytorch I have had difficulty getting the model to train on the GPU. MacBook Pro M2 8-core CPU, 8-core GPU, 16-core neural engine, 16 GB RAM Apple has done work to get both TensorFlow and PyTorch running using Metal Performance Shaders and thus to run on the GPU. This is important for outdoor use or brightly lit rooms - The Pro version has a 120 hertz screen. So, you're better off creating a prototype on mac and have it run on Google Colab or cloud VMs for gpu/tpu. I am not sure if I am more surprised by how strong the iMac Pro is or a bit underwhelmed with M1 Pro, or maybe the optimization for plugins is not totally there yet, idk. (M2 Pro/Max) and nvidia gpus (4080s and Reddit posts talking about Macbook Air M2 8Gb vs 16Gb used in the summary. I also have a 2017 MB Pro that I docked prior to getting the m2 pro mini and that only ran 4k60. 9” M1 iPad Pro during one of the recent sales. It would’ve been worth it if the m2 included 16gb of ram with 512 ssd and 24gb for 1tb and higher models. The throttle is from heat. - One thing, though, I think about with this OLED for digital art: If the digital art ever leaves that OLED iPad to be seen/used in another context it will most likely not be on an OLED screen. Be good if I can still leverage the new M2 GPU to good use other than productivity. Browse privately. In general the M2 Max was speculated to be a GPU doubling for the M2 Pro, but the M2 Pro wasn't necessarily a GPU doubling of the M2. If Apple was confident enough in the process, then it could well be 3nm. Also a constant -5c difference with the returned one. Or check it out in the app stores TOPICS and pytorch all have M1 support Discussion for Microsoft's Surface Pro X and Surface Pro Arm devices. Had I known that I would have got the Pro. Also Reddit: Apple needs to stop delaying and churn out these updates. Valheim; Genshin Impact; Minecraft; Pokimane; Halo Infinite; Call of Duty: Warzone; PyTorch stuck at model. Or check it out in the app stores Pytorch is an open source machine learning framework with a focus on neural networks. I currently work in a research lab with hundreds of thousands of dollars worth of NVIDIA-GPUs, so I don’t necessarily need the GPU upgrade, but I think it may be helpful to run smaller scale experiments when my labs GPUs are overloaded. Or check it out in the app stores Home From an intel Mac, the M2 Pro/Max is a significant upgrade, and from a GPU standpoint an M2 Pro would comfortably run circles round your intel Mac. Let's try PyTorch's new Metal backend on Apple Macs equipped with M1 processors! What is the GPU memory for M2 M2 Max will supposedly have more efficiency cores, and M2 efficiency cores are significantly better than M1 efficiency cores, so it'll have better battery life. A lesson we learned the hard way. Audio work doesn’t hit the cores really hard, it just benefits from more cores. Only $200 more for significantly more performance, especially the GPU. Having said that, if you want a machine for general workloads with just a bit of machine The M2 MacBook Air is fine you just need to buy a laptop cooling pad. If you pay for the M2 Pro chip, they remove the The two major ML frameworks, Tensor Flow and Pytorch, can use Metal to run on the GPU and potentially also the AMX vector unit and Apple Neural engine, but other stuff really needs CUDA to run at acceptable speeds. That's only a 33% increase from the BoBoVR. You see the standard builds for PyTorch and TensorFlow were keeping in mind the Installing PyTorch with GPU support on Apple M1 and M2. This is the home of the wedding photographer community on Reddit and the place for wedding photographers, second photographers, assistants, and those aspiring to be wedding photographers I am considering either the 32GB M2 Pro or the base M2 Max. You absolutely notice the difference. Studio is a better product in every way, except for the volume it takes up and maybe noise level due to having bigger cooling system. It also allows for 32GB ram which is great for the next 5 years. If you want a closer performance, you would need to look the M1/M2 Pro maybe but I have the feeling On a new Mac mini with the M2 Pro and 32GB of RAM, responses can take anywhere from 20 seconds to around 2 minutes with the default settings. The one advantage that is does have is the unified memory architecture, so you can run some large models that wouldn't fit in a consumer GPU. Look at the Geekbench difference between M1 Pro and M2 Pro, and then cinebench. That's one area where the M2 Max will have a noticeable improvement over M1 Max. No i’m not watching videos, literally safari and reddit. The air has no fan. I'm not worried about ports at all. So I had gotten an M2 Pro open box with 16gb of ram. No, the M2 Pro won't just be an M2 with more cores. Get the M2 Pro if you like the touch bar, that is about it. A 14" with an M2 pro versus the max - the max is GOING to be more powerful than the pro, with or without thermal throttling. My friends M2 pro gets the same performance as an old 1080 I have, just because of how little support there is. I'm debating whether I need that RAM compared to processing power. Battery is sitting at 60% - normally at 80% while being my side thing during work. I’m thinking about upgrading to an M2 Ultra Mac Studio with 128GB of unified memory for the big Lora training jobs I’m doing, but a refurbished M1 Yeah I specd out a m2 air with 16 gigs of ram and a 512 ssd. Thermal isolation or measurement problem I don't know. Apart from that both Tensorflow and Pytorch are now supported. In Max Tech’s video on the MBP M2, he tested this. the M2 MBA is a better choice than a M2 MBP imo but saying it’s better during throttling than an actively cooled M1 Pro is completely delusional lmao, not even at peak performance it beats the M1 Pro We stand in solidarity with numerous people who need access to the API including bot developers, people with accessibility needs (r/blind) and 3rd party app users (Apollo, Sync, etc. I’d like to see the apples-to-apples comparison. Literally my only complaint of the Max compared to the Pro (or vanilla I had before it) is the 10-15% battery hit. Other than that M2 Pro is only a 10-25% increase than M1 Pro due to higher wattage and Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. sh: Launching Web UI with arguments: --upcast-sampling --use-cpu interrogate --opt-sub-quad-attention Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled fish: Job 1, '. For more prolonged workloads that are intense, the pro is certainly faster by a measurable amount. Also, Pytorch doesn't utilise the neural engine as well as tensorflow does, yet. and if you want the Pro, get the M1 pro / of course. Unless you're in a really tight space and has to have the smallest desktop computer possible, there's really no reason to not get Mac Studio M2 Max over Mac mini M2 Pro with 12 / 19 cores. Don't get me wrong, I absolutely love my MacBook M1 Max and I'm glad the new M2 Pro and M2 Max are released, but outside the initial M1 Apple Silicon release, it's just an incremental improvement. The Air M2 is the newer design and is all around better than the 13 M2 Pro which is still the older design, now, if you are mis typing and you are comparing the 13 M2 Air and the 14 M2 Pro, that's a different story, but I believe you are truly comparing the older design, Touch Bar 13 M2 Pro and the newer notch screen 13 M2 Air, in which case (After reading MPS device appears much slower than CPU on M1 Mac Pro · Issue #77799 · pytorch/pytorch · GitHub, I made the same test with a cpu model and MPS is definitely faster than CPU, so at least no weird stuff going on) On the other hand, using MLX and the mlx-lm library makes inference almost instantaneous, and same goes with Ollama. running just the game with few other programs running is fine, like spotify. It's not a budget device, offering little extra capability over the M1 Air which can sometimes be found at 2/3 the price since its often on sale as the "outdated" model, and the M2 Air's specs don't reflect its pricetag, by the time you opt for the 16GB RAM upgrade you're halfway to the 14" Pro which Hello everyone, I've been wanting to buy my first ever macbook and I'm struggling between the 16in Macbook pro m1 pro and the macbook pro m2 pro. Bottom line - I settled on the pro m2 version. It looks like M3 Pro uses a lot less power than M2 Pro. Just picked up a M2 Pro 16 inch 1TB and I have been loving it. It comes with an outdated design, worse specs (worse cam, speakers). M1 Pro 32 gb RAM == M2 Pro 32 gb RAM == M3 Pro (if it had 32 gb RAM instead of 36 gb). Needless to say, pytorch docs are more organized and less ambiguous than TF docs. as it helps with GPU acceleration for all my PyTorch related tasks but not CPU as it doesn't matter. Progressively, it seemed to get a bit slower, but negligible. at price point, it's a big jump from the base mac mini m2 going to base mac mini m2 pro. failSafePotato OLED or not OLED on the iPad is the same consideration as on a TV. Been really impressed so far with this Mac Mini M2 Pro. tldr: Is the performance of the pro worth the small form factor sacrifice of the M2 Air? Performance is the most important factor for me, but if the M1 14 inch is overkill I would prefer the M2 Air. GTX 1060 Mobile has 4. I'm considering getting a 32gb ram version instead to future proof it, as I plan on keeping it a long time. I suspect they took advantage of the decoupling of the pro and max dies to optimise each for their most common use case - M3 Pro is most often used in the 14” where battery life hasn’t been (decidedly relatively) as good as the other models, whereas M3 Max is most commonly used in the 16” which has a huge battery Get the Reddit app Scan this QR code to download the app now. are worth an additional $420. Sure, but there’s no real support for training CUDA-based ML models on MacOS. (like totally playable). The mini has no internal display so it supports 3 monitors. With Apple care for 3 years it’s $3299. Ive had some lag, app crashes and trash battery life so far. 10 votes, 25 comments. Expand user menu Open I am planning to buy a MBPro M3 Pro 16 GB version for small/medium ML related works using pytorch mainly. In native benchmarks such as Cinebench R23, single-core performance is now around 7% faster than the old M1 Pro/M1 Max and 4% faster than the M2 in the MacBook Pro 13. to('mps') on M2 Pro The main benefit of the M1 Max over the M2 Pro are more GPU cores but your development use probably won't benefit from those extra cores (they're good for video or photo editing or transcoding videos). As of right now this generation is a niche upgrade (an upgrade nonetheless) with hover, m2 chip with better gpu and better neural engine, and pro-res. Expect M1 Pro to be 1. An M2/M3 will give you a lot of VRAM but the 4090 is literally at least 20 times faster. A community dedicated toward all things AMD mobile. On audio alone, out of your options the 16" M2 Pro is best. The benchmarks suggest the M2 pro would be a bit faster but a lot of the benchmarks I've seen are on the upgraded M2 pro chip (12 core) and not the base chip (10 core). I want to save some money by buying the m1 pro but I also want the macbook I'm buying to last me for 4 to 5 years. It is difficult to compare the two processor based on RAM alone, as the M3 Pro has 18GB Ram and the M2 Pro has 32GB RAM. ly/HomeKitDiscord Members Online. The M2 Pro will likely follow the same differences to the M2. I doubt that we'll see such a fundamental change again for some time as that was the move from Intel. I’m looking to get a laptop for Machine/Deep learning. That's like saying the M1 Pro was the M1 with just more cores. I have the Mac mini m2 base 8gb 256gb. manufacturers control resellers prices, and they would have to okay the discounts, and that includes apple. I’m using Mac M1 Pro and M2 Max to create a voice model from 96 sample audio clips, each between 5 and 10 seconds. In the Omnisphere test MacBook ran 206 instances and iMac Pro ran about 210. what would be the difference? kind of confused which to choose. Since it's launch, we've seen a number of reviews comparing M1 Pro/Max and M2 Pro/Max speakers. Questions: Is there no way to get pytorch to run on my pc using intel graphics? Just on a purely TFLOPs argument, the M1 Max (10. Apple M2 Pro with 12‑core CPU, 19‑core GPU and 16‑core Neural Engine 32GB Unified memory Apple M2 Max with 12‑core CPU, 30‑core GPU and 16‑core Neural Engine 32GB Unified memory Apple M2 Max with 12‑core CPU, 38‑core GPU and 16‑core Neural Engine 32GB Unified memory Every building block can be written by you so in case you want to experiment a lot, pytorch provides more flexibility over TF or Keras. 99% of people recommended for me to get I want to get a 14inch Macbook pro for video editing (Davinci) and Photo editing. Thanks! Have you been able to get pytorch or Jax to run on your M2 GPU? Here we go again Discussion on training model with Apple silicon. M2 Mac Pro 14 inch vs M2 Air 16gb/512 ssd r/Filmmakers Filmmakers, directors, cinematographers, editors, vfx gurus, composers, sound people, grips, electrics, and more meet to share their work, tips, tutorials, and experiences. M2 is $90 cad ($66 usd) more. I've been looking at Apple's M2 lineup and would love to purchase a M2 MacBook. BUT Be sure that M2 is running hotter for all tasks. Is there any truth to this? Please help me decide. The professional cards with 48gb or more VRAM are Before settling on base 14" M3 Max, tried base M2 Pro, 1tb 12-core M3 Pro, & 36gb 16" M3 Pro. Mac Studio M1 Max vs Mac mini M2 pro Sell your stuff and buy some stuff through reddit from redditors with Dubai classifieds! Hire local redditors here! Members Online. the M2 air is simply more worth it. Also the difference isn’t 100 apart if you get identical specs The thermal throttling happens on the air, not the pro. For me, I jumped from an 2015 Intel MBP. It probably clocks in around a 13600k intel. Or check it out in the app stores Apple education pricing has 14 inch MacBook M2 Pro 10/16/16 core, 32GB RAM, 1 TB SSD FOR $2389 M1 Pro refurb is about $250 cheaper. That one even shows a lot differences between the different chip generations. The M1 14 Pro has the 2nd best speakers of The M3 Pro has a 50GB/s more memory bandwidth and 12GB larger maximum memory and amount than the M2 Pro. If anything, M2 Pro performs like RTX 3050 Mobile. And getting a MacBook pro or Max is quite expensive. I am stuck with two choices, M3 Pro with 11-core CPU, 14-core GPU, 18GB Unified Memory and 512GB SSD Storage or refurbished M2 Pro with 12-core CPU, 19-core GPU, 16GB Unified Memory and If the pro will last longer and be reliable for longer I’m willing to fork over the extra $400. 1, +2 CPU cores, etc. There are application threads, processor threads and cores that need to be taken in to consideration, and while one application you're staring at during the benchmark testing (ie cinebench) may not see the benefit of the M2 Pro has 6. but i like to multi task, i usually listen to a twitch streamer in the background while playing but it makes the game run worse, playable in most of game but doing raids or getting into a large group (30 or 40 players) drops to 20fps. How does a 16/512 M2 compare against the 8/256 base model, and how does a 16/512 M2 compare against a 16/512 M2 Pro? Those are two comparisons I’d love to see. But if you want the 2 extra ports, you have to pay for the M2 Pro chip. CPU training for Get the Reddit app Scan this QR code to download the app now. We follow this guide here: Discussion on training model with Apple silicon. And M2 Ultra can support an enormous 192GB of unified memory, which is 50% more than M1 Leveraging the Apple Silicon M2 chip for machine learning with PyTorch offers significant benefits, as highlighted in our latest benchmarks. . Same price (or often cheaper) and many many times easier to work with We are closed in solidarity with the protests against reddit's mismanagement of their community with regards to changes to fundamental MacBook pro m2 max can definitely play games, but for the experience it provides and the limitations inherent to the platform, its better to get a ps5 and use the macbook pro for your work. Geekbench shows an 11% lead over the M1 Pro, while the It does seem that even lateral moves like the M2 Pro to the M3 Pro might be a downgrade. Only problem is that VirtualBox won't run there. But if you want all out drive speed on M2 Pro, get at least the 1TB model. Found a brand new m1 pro at microcenter for the same price, went for that instead for more ports and a better screen at the same price. 19 votes, 30 comments. I'm an AI&ML student' in france. Side note: I’m a signal processing/ML and I do serious number crunching, beat my machines to death Reply reply More replies At 512GB storage factoring in the $50 adjustment, the price margins become M3 Pro (11|14) [$1750], M2 Pro (10|16) [$1550], M2 Pro (12|19) [$1700], M3 Pro (12|18) [$1950]. M2 MacBook pro M2 is not compatible with the standard PyTorch and TensorFlow libraries. (Both of them have way better battery life than my Intel MBP though) Getting that with the M2 Pro chip is 2900, and with the M2 Max it's 3100 (USD prices). Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. It is possible that battery life could be worse on the M2 iPad Pro because the M2 SOC is a more power-hungry chip. I looked at the performance jump to M1 Pro and M2 Pro, and it was literally 145% for the M1 Pro or We saw this with M2 Pro taking a small hit compared to M1 Pro when it came to audio production across all DAWs. 6” in above specs. This is when you're not doing any proxies. I’m thinking of trading in my 2020 13” MacBook Pro M1 with touch bar for the 2022 15” M2 Air. True the m2 mini is perfectly fine for many mac users, but the m2 pro is more up to snuff with current standards. (A12Z: Low FPS, low graphics, M1 Ultra graphics medium-high former pc user and I want to switch with macbook. My 2 year old broke my M1 Air screen half a year ago; been using a 12. Or check it out in the app stores especially M1 Macbook Pro (or M2 if you can see the future)? EDIT I'm interested in what it's like on both GPU and just CPU (M1 Pro 32 GB memory). 00. Bro can you recommend which MacBook is gonna be best for me. M2 Pro - 10 core CPU, 16 core GPU, 16GB memory, 10 gigabit Ethernet for $1300 VS M2 Max - 12 core CPU, 30 core GPU, 32GB memory - $1800 Which is a better buy? Will use it for coding, work from home, playing Dota 2. 8 TFLOPS and RTX 4050 Mobile has 9. The experience is between buggy to unusable. As a professional who frequently uses heavy graphic design and photo editing software such as Lightroom and occasional usage of Premier Pro to edit some of my 4K Given that Apple M2 Max with 12‑core CPU, 38‑core GPU, 16‑core Neural Engine with 96GB unified memory and 1TB SSD storage is currently $4,299, would that be a much better choice? Or at least, the optimizations to get around the limitations of Transformers/PyTorch are still pending. FCPX is almost flawless. Next. Same scenario, better performing cores but two fewer performance cores. - M2 Pro 10-core CPU / 16-core GPU (base) - M2 Pro 12-core CPU / 19-core GPU ($300 more than base) - M2 Max 12-core CPU / 30-core GPU ($500 more than base) I don't have specific games I want to play, but I would like to be able to run some AAA titles (insofar as they are compatible with Mac) at 1080p with good graphics and near 60 FPS. 0 TFLOPS. Trying to run this on a MacBook Pro M2 Max and Python is crashing while executing webui. qzhfkzdk tpaclj rwpm hdcrj yhdfdp vvsga wgfl wtlelb jthmbba pmph