Lightroom benchmarks


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Viewing Images Quickly with the New Embedded Preview Workflow in Lightroom Classic CC

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That would really speed up performance! Every couple of seconds helps when you are editing s of files.If you run Lightroom Classic on a Windows computer, using a compatible graphics processor accelerates rendering of images in the Library module's Grid view, Loupe view, and Filmstrip. Using a compatible graphics processor can also provide a significant speed improvement on high-resolution displays, such as 4K and 5K monitors. Starting from August version 8.

Caution: Lightroom Classic currently doesn't take advantage of more than one graphics processor. Using two video adapters does not enhance performance. To resolve issues arising because of conflicting graphics drivers, follow Step 5 and Step 6 in Solution 4: GPU and graphics driver troubleshooting steps.

Only the 'Main' Lightroom Classic window is accelerated. The 'Secondary' window isn't accelerated by the graphics processor. Graphics processors running under virtual machines are not tested or supported. When you launch Lightroom Classic, it runs a test on the graphics card. If the test fails, the graphics card is disabled even if it meets the minimum requirements.

Walk through the troubleshooting steps to try to resolve the error. Some graphics cards, despite meeting the minimum requirements, may never be compatible with Lightroom Classic for graphics acceleration. Note: Ensure that you have the latest driver for your specific graphic card installed. Laptop and desktop versions of the graphics processor have slightly different names. If your card is not listed above, but meets the following requirements, it should work with the latest version of Lightroom Classic:.

In preferences, the name of the GPU available to Lightroom Classic and its available video memory is displayed. If no information is displayed, then you may need to install a new driver for your GPU, or your hardware or operating system does not meet the minimum system requirements.

Your system may automatically support basic or full acceleration. If your system automatically supports basic acceleration, you can enable full acceleration using the Custom option. Acceleration may also be turned off automatically if your system does not support it or due to an error. If acceleration is turned off and an error message appears, it could be due to GPU hardware, driver version, or operating system not meeting the system requirements.

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Select this option to automatically determine the correct level of GPU support based on your system's hardware and operating system configuration.For the best results, take a holistic approach.

Read all the suggestions here. Consider which ones to implement within the context of your computer setup. Also consider the types of files you use and your particular workflow. Each circumstance is unique and requires a different combination of techniques to achieve the most efficient performance from Lightroom.

The minimum system requirements to run Lightroom are just that: the minimum you need for Lightroom to operate. More RAM and a faster processor, in particular, can yield significant performance benefits. The requirements vary depending on the following:. Find out the system requirements for your version of Lightroom. Using the recommended amount of RAM yields significant performance benefits, especially when you import and export photos, move between photos in Loupe view, or create HDR images and panoramas.

For the simplest workflow, a fast rpm internal Serial-ATA drive is sufficient. For more demanding workflows, consider a RAID array. Storing catalogs, image files, and previews on an external drive is convenient if you work with the same catalog on multiple computers. Doing so, however, can negatively affect Lightroom performance. If you must store your files externally, make sure that you have a fast connection.

For example, use a Thunderbolt connection, USB 3. For best performance, connect the external drive to a compatible port that has the highest bandwidth limit of all the available ports.

The bandwidth limits for various ports are listed below:.

lightroom benchmarks

Note: Catalog files cannot be stored on network drives but you can store your photos on a network drive. However, network drives hard disk accessed over a network have slower data transfer rates.

Therefore, it can take more time when switching modules or when switching from one file to another in Lightroom. Working with too little free hard-disk space can cause poor performance. See Lightroom system requirements to find out the minimum amount of free hard-disk space you need for your version of Lightroom.

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Be sure to keep the graphics driver software up to date.If you want specifics, Puget Systems are doing regular testing. What we will do is talk about which hardware benefits different Lightroom tasks, so you can make your own decisions based on your needs and budget. A high clock speed measured in GHz is equally important, as it determines how quickly computations are made, not only for image processing tasks, but also all of the other tasks Lightroom has to perform. The release date of the processor also affects performance.

Need a rule of thumb? The amount of RAM available affects how many photos can be cached, which can affect image loading time. Some tasks, such as merging panoramas and HDR files, are particularly memory hungry.

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Minimal computer knowledge needed! The speed of the drive that holds the catalog and previews makes a fairly substantial difference, especially in the Library module and also for startup times. This is an upgrade that can be beneficial on existing systems, as well as new builds.

lightroom benchmarks

For example, my 50k catalog is currently 1. Next, think about where the images will be stored. For most users, a rpm internal or fast external drive is adequate for storing photos, but if you need greater speed, a striped RAID is a cost-effective solution.

Also, if your photo storage drive is external, think about connection speed. If you need to use external drives, look for USB3 or Thunderbolt connections if your computer supports them. The photos can be stored on a NAS network accessed storagebut the connection speed can be painfully slow, so NAS units are better suited to backups. This means that Lightroom has to calculate and display 4 times as many pixels on a 4K display, compared to a standard HD screen, and nearly 8 times as many on a 5K display.

This is why Lightroom slows down on big screens! Retina, 4K and 5K displays. On lower resolution screens e. Unless portability is essential, a desktop computer is usually a better choice for Lightroom. There are, of course, exceptions: performance laptops are available, but they come at a premium price. The final thing to remember is that all of these hardware components interact.

lightroom benchmarks

There are also budgetary considerations to weigh up. A new interface is available for SSDs: M. The M. But if you build a new computer this is absolutely something to check out. It doesnot matter if it is standard sata ssd or m. I have Intel proc. LR is not working too much with disks, it is also hard to fuly use cpu. The main bootleneck in my case is communication between cpu and ram, it is not fast enough. Very fast 4 core 8 thread cpu waits for data from extremally fast ram.

By the way — originally I had 16GB ram half year ago, then wanted to upgrade to 32 but in the end upgraded to 64GB which it maximum allowed. You may think it will never be used so much memory.

But about 2GB takes internal processor gpu.As a travel photographer, I find Lightroom to be the best photo editing softwareand an indispensable tool.

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The monthly subscription is a price well worth paying, and I recommend it to all my students on my travel photography course. Every release seems to exacerbate the problems, especially on larger monitors, despite having a fast desktop machine with all the bells and whistle. InAdobe released a major update to its photography toolkit, and in particular, it re-branded the desktop version of Lightroom into Lightroom Classic CC.

Subsequent updates have continued to improve performance, including a major update in mid However, whilst these updates have certainly helped, there are still a few ways to make Lightroom faster. Read on to find out my top tips for improving Lightroom performance!

If you have a computer with different hard drives inside, and some of those are the older spinning mechanical style hard drives, and some are the newer, faster style SSD hard drives, then you will want to put your catalog file onto the SSD hard drives.

The fast speeds of an SSD means that Lightroom can get image information much faster. In addition, Lightroom stores all its preview files in the same place as the Lightroom Catalog, and the preview file is what Lightroom renders.

So you want that to be somewhere that Lightroom can access it as quickly as possible. So a dedicated SSD makes that easier to manage. I then have an SSD for my WIndows and program install files, and the rest of my hard drives are larger and slower mechanical hard drives. If you need to figure out the kind of hard drive in your computer, here are instructions for Windows and Mac.

Moving your catalog file is just a question of locating its current location and then moving it in either Windows Explore or Finder. Full instructions on this page. Lightroom has two places where it caches image data. One is the preview cache as mentioned above, which is stored with your catalog file and used for the library view, and the other is the Camera RAW cache. This defaults to a size of 1GB, which is pitiful, and means that Lightroom is often having to swap images in and out of its cache when developing, resulting in a slower Lightroom experience.

Still, worth a try. A few releases ago, Adobe announced that they had optimised Lightroom to take advantage of the graphics processing chip GPU inside a computer. These capabilities were improved upon in the August Lightroom update. A graphics chip is a part of your computer that is responsible for handling video related functions, and the theory is that these dedicated chips are faster at specific image rendering logic. Whilst this all sounds good in theory, the reality is that the practice is not quite so simple.

First, Lightroom only uses the graphics chip for some specific tasks, so not everything is accelerated. You can see what it can use it for here. Second, the performance benefits are only usually apparent in specific situations.

There is an overhead associated with using the graphics chip, as data has to be offloaded from the CPU to the graphics chip, processed, and then sent back again. In my experience, larger, higher resolution monitors tend to benefit the most from using the graphics chip, although with the trade-off that there will be a slight delay in the image appearing on screen as the data shuffles between the CPU and the graphics chip.

Lower resolution monitors see less benefit, and may even be slower with the graphics chip enabled. For users with smaller screens and less capable graphics chips, such as those often found in laptops, you might find that Lightroom performs noticeably worse with graphics acceleration enabled.

Benchmark available for testing Lightroom Classic performance on Windows computers

Adobe has more detailed information here on supported graphics chips and how to identify your graphics processor. My advice is to try the various settings, and see which works faster for you. The easiest thing test to see if there is a difference with the GPU on and off are how fast the global adjustment sliders impact the image and how fast you can switch between images.

The default setting is Auto, where Lightroom detects the capabilities of your graphics card, and then decides what to accelerate. In theory it should decide between basic acceleration and full acceleration. In my experience on all my computers so far however, Lightroom in the Auto mode has just enabled basic acceleration, despite my computers having powerful graphics cards. When you select this, you then get the option to enable the GPU for image processing as well.Especially in the World of building a Workstation for 3D, VFX and Animationputting your CPU, GPU, and other components through a series of tests and comparing them to the performance of other Systems and configurations is so much fun, that sometimes you upgrade, tune or overclock your System, just to see those numbers rise.

Depending on what you use your computer for, there are lots of different CPU and GPU Rendering Benchmarks, that will fit your needs in finding and comparing the optimum Hardware Components. This way you will be able to identify what component is responsible for the type of work you do on a daily basis. But there are quite a few more reasons for benchmarking your hardware, that not everyone knows about:.

Probably the most obvious reason for benchmarking your CPU and GPU is, to compare your results with online Databases and see if your Hardware components reach the Speeds they are supposed to. It is best to benchmark your System right after a clean install. When benching your GPU and not reaching common scores, again be sure no other software is running in the background and your GPU driver is up-to-date.

That said, though, sometimes reverting to an older Driver does the trick. Using 2 GPUs might give you 1. Check out this article about GPU-Hardware here for more in-depth information. Octane does a fairly good job in scaling linearly, but redshift, for example, will give you less performance per card, the more cards you add.

Another great time to benchmark your Computer is when you are planning on buying new components or an entirely new PC. You will only know if spending all that money is worth it if you know what performance improvement over your current Hardware you can expect. In most cases, the higher the price does not always mean a better Hardware component for your specific use case.

Maybe you only need to upgrade a specific bottleneck that slows down your overall system performance and not get an entirely new PC. If you have a certain amount of budget you are willing to spend, benchmarking your current system first, will give you the possibility to roughly calculate what you can expect when getting new components within your budget. With Internet Connections getting faster and faster, online Renderfarms are more popular than ever.

Notice how you have to know your Cinebench Score to be able to calculate the cost of rendering your scene on the Renderfarm :. It is also great to know the scores of your own PCs, If you have many of them, to best distribute specific tasks that run optimally on the different systems.

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Benchmarking your PCs regularly also notifies you of any performance issues that might arise after some time, that otherwise might go unnoticed. It renders a pre-defined Scene on your CPU. Cinebench can both render the Scene on all Cores, for multi-Core performance, and on a single Coreto obtain single-Core performance results. It also has an inbuilt GPU OpenGL performance benchmark, that is a fairly good indicator of your possible viewport performance.

Cinebench runs on all major CPUs. It is quite similar to Cinebench, as it renders a predefined Scene on your CPU or GPU see below and has an extensive online database to compare results in various configurations.

The procedure is the same as in the Cinebench Benchmark. What scores did you reach? Let us know in the comments! This is so helpful! Maybe a Threadripper to save a little or AMD 39 series better? The only reason to get the x are the higher number of pcielanes to be able to drive up to 4 gpus at good speeds. So how can you translate the results? Example: If the Cinebench Scores of a x are 6x compared to my i7 k I can expect 6 times faster compiling or render speed if I upgrade?

If this translates the same to other tasks is not guaranteed though, as you will need to know how these other tasks, like compiling, uses the cpu and if all cores are being used.

Hi Alex! Thank god I found this page.Most people think of the processor in your computer as its brain but I like to think of a modern processor being more like a factory. You have data going in, some work being undertaken to that data in the processor via some calculations giving some output. The faster it can undertake calculations, the faster your computer will feel to use and the faster it will be able to complete the set tasks. Modern processors are divided into a number of processor cores.

One processor core is essentially like one factory production line. By adding more cores, it is possible to undertake the same process in parallel many times over and get more output from your factory. Processor cores are quite versatile, they can undertake entirely different tasks or they can all undertake a portion of the same task.

Some tasks are easy to divide out amongst many processor cores but other tasks are more difficult and only work with one processor core. We refer to these tasks as being single threaded only works on one core or multi-threaded works on many cores in parallel.

A processor Clock speed is usually measured in GHz billions of pulses per second. Each pulse represents the ability of the processor to perform an instruction or part of an instruction.

Usually, the faster the processor clock speed, the faster it will undertake a given task. Photoshop performance scales directly with processor clock speed.

lightroom benchmarks

Some processors also include a feature called Turbo Boost. This refers to Intel Turbo Boost Technology 2. If the computer is mainly used for Photoshop and Lightroom it is important to understand how efficiently these applications cope with multi core processors.

In order to understand this, we have undertaken testing using a range of processors from dual core right through to the huge 18 core variants. We were quickly able to conclude that both Photoshop and Lightroom are not able to take advantage of a great number of processor cores.


There are some exceptions as certain effects will have a small benefit given additional cores. On average however, we can conclude that it would be more beneficial to use a processor with fewer cores but higher processor frequency. The performance of the processors scale in a linear fashion with increased processor frequency.

The best efficiency is gained from quad core processors. We understand that most users will likely have other applications such as email, web browsers and various background tasks operating at the same time.

Moving to a 6 core processor will effectively give the user 2 spare cores to run other applications and 6 core parts usually have a higher clock speed too.