jasparagus

I don't recognize that fork of it - what are the differences there? I've been using vladmandic's fork for a while and found it quite good. I still have the original kicking around as well, but don't use it much.

This is great haha

I really like it! I love that style of joinery for benches. Excellent work!

Yeah, I glanced over it and couldn't immediately see why the laptop one was benchmarking faster. There were only 7 samples or something for the laptop one, though, so it could just be a fluke. Maybe the laptop folks are using only the best optimization or something. I'll keep playing with it when I get some spare time.

Lately we've been trying to "pre-cool" a little in the mornings so that the house can slowly heat up during the day without the AC going full blast all afternoon. It's working okay, but not perfectly. We still struggle to keep the upstairs bedrooms cool enough (76 or below) without overcooling the downstairs (72). The AC is usually set somewhere in the middle (74ish).

I'm a Windows caveman over here, but you should definitely post your Linux findings on here when you're ready! Also, if you have suggestions for how to slice this, I'd be happy to take a stab at it. This was a quick thing I did while ogling a GPU upgrade, so it's not my best work haha.

I've always loved that external GPUs exist, even though I've never been in a situation where they were a realistic choice for me.

Yeah, the data is definitely not perfect. If I get a chance, I'll poke around and see if maybe it's one person throwing off the results. Maybe next time I'll toss "n=##" or something on top of the bars to show just how many samples exist for each card. I also eventually want to filter by optimization, etc. for the next visualization, though I'm not sure what the best way is to do that except for maybe just doing "best for each card" or something.

I'm always happy when I hit a perfect round number. It's very satisfying.

The link in the header post includes the methodology used to gather the data, but I don't think it fully answers your first question. I imagine there are a few important variables and a few ways to get variation in results for otherwise identical hardware (e.g. running odd versions of things or having the wrong/no optimizations selected). I tried to mitigate that by using medians and only taking cards with 5+ samples, but it's certainly not perfect. At least things seem to trend as you'd expect.

I'm really glad vladmandic made the extension & data available. It was super tough to find a graph like this that was remotely up-to-date. Maybe I'll try filtering by some other things in the near future, like optimization method, benchmark age (e.g. eliminating stuff prior to 2023), or VRAM amount.

For your last question, I'm not sure the host bus configuration is recorded -- you can see the entirety of what's in a benchmark dataset by scrolling through the database, and I don't see it. I suspect PCIE config does matter for a card on a given system, but that its impact is likely smaller than the choice of GPU itself. I'd definitely be curious to see how it breaks down, though, as my MoBo doesn't support PCIE 4.0, for example.

Happy to help!

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