The problem here is the distortion of the units of the axes. This is to try and limit the variables that might affect our analysis, like the fact that between blender versions, performance can be different, different OS types have been known to have different render times for the same scenes, and of course different benchmarks run different render times. You can read more about that here. This method seems seductively intuitive and simple, but it implies something a bit silly if we pick the right example. It is a useful measure if price and performance are equally valuable, meaning that if price doubles, but our render time halves, we perceive no change in value. By no means, these calculations highlight what I think is valuable, an equal balance of performance, price and power efficiency, those are all the things that the 3990X isn't about, it is a monster CPU, stupidly powerful, and you pay for the privilege of so much speed in a workstation CPU, both in $$ and Watts drawn from the power grid (hmmm that reminds me of something...). When the 3990X dropped in February of this year, it certainly landed with a thud. This all assumes you are just rendering one project at a time though as we've implicitly defined performance as render time. I'll try to be as succinct as I can be (verbosity is my blessing and curse it seems). What we need is a way to calculate values that are on the same scale, without losing the relative positions of each data point. All that remains is to fight it out in the comments :D, FYI before you go, you might like to know that we make render farm software, we're aiming to make an open source version of our new addon we're building for blender. A helpful hint to interpreting the chart is to realize what we all want is infinite, free rendering power :).
Job Done! The 3970X also just so happens to be closer to the origin of our performance vs price chart than most other CPU's where the 3990X is a way off. I've worked in labs where there are researchers that deal with images that are a few terabytes in size! Once again, surprises, the best chip turns out to be a Ryzen 9 3950X of all things. All this makes power consumption less tangible and less urgent than the needs of getting stuff rendered.
And yes, these results suggest that an i9-10980XE is ever so slightly more valuable than second place, a Ryzen 9 3950X, what sacrilege! Now, if you're one to skip ahead to the conclusions, let me say that reading the methodology usually saves you some embarrassment later on. To put this in perspective the biggest scene I have personally heard of was 80GB (if you have made a bigger scene than that please tell me in the comments!
Adding that would accentuate the lead the 3990X has. Especially if its your only computer. But really, what do we care about when it comes to buying CPUs anyways? AMD also has quite a few models with equally weird names, like zen, Threadripper, Ryzen and so on. When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Each dot along those curves (moving from the far right to the left and upwards) represents another node added to a hypothetical render farm, using a particular CPU. then we hit a problem, our benchmark had no data for the 3990X, so we turned to a couple of sources online that had thankfully run the same scene and used that data ( assumption 1 These sources really did run the same scene as the benchmark)! However, some reviews have labelled it a dead end due to its lack of support for more RAM.
We may receive compensation when you click on links to those products. These characteristics, as well as an IPC (instructions per cycle) number, determine how well a processor performs. However, if you are concerned with efficiency, either for building a large scale render farm, or building a budget workstation, you are probably concerned with how much performance you get for your $$$. Information: How to use multiple computers to render scenes in Blender with external textures, HDRI's etc, LIVE STREAM !! I want to turn the attention back to ray tracing in a more general sense and consider some factors that we should perhaps pay a lot more attention to. If you're thinking *yuck, what a mess* to yourself, don't worry, you're not alone, just a bit of cognitive strain as your brain attempts to figure what's going on.
You can just eyeball this, or you can get pedantic (like me) and measure. Yeah you read that right, the lower spec'd chip supports double the RAM. Is that even a sane question when its clear its faster than anything else out there CPU-wise right now? Yeah you read that right, the lower spec'd chip supports double the RAM. You can get the free version right here on our site and also contribute to our project via our support campaign. So without further delay, here's a chart that shows just that for the fastest rendering CPUs in blender at the current epoch. We turned to Blender's Open Data Project, which hosts a very large number of benchmarks that have been contributed by the community using a consistent benchmark utility tool. So its clear that the cost of the CPU is actually dominating the 'length' of the line we draw from the origin, this is not obvious when looking at the charts above. Plus it takes $20000 worth of Intel Xeon muscle to match it (not quite match it).
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