GPU Benchmark! 4070 4080 4090 3080 3090 #2970
Replies: 39 comments 12 replies
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2070 rtx mobile |
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Nvidia RTX 4090 FE 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:03<00:00, 6.17it/s] (edit: used default resolution first go around) |
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CPU vs GPU 1024x1024 2 steps Intel 13900KS 24,25 sec. https://files.catbox.moe/f4wb53.mp4 CPU.vs.GPU.test_2.mp4 |
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RTX 3090 |
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Just for laughs ... |
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RTX 3070 OC Drivers:~528.xx 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:08<00:00, 2.26it/s] |
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My poor old GPU 😢 |
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RTX 4080
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Would love to get some 3060 / 4060 data to better complete the regression... Then I'll post proposed for every 3000/4000 card. |
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RTX 4070 12Gb got prompt |
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WSL2 (6.1.x kernel) 3060Ti
Tesla P40
No xformers 3060ti
Tesla P40
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4090 FE, Ryzen 7900X, Samsung 980 2TB M.2 got prompt |
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RTX 3070 Laptop GPU
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Windows 10 I ran the test 3 times.
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RTX4090 Power Limit 300W, 12600K, DDR4 3200 64GB
RTX3090 Power Limit 300W, 5700X, DDR4 3200 64GB
RTX3060 Power Limit 130W, 5700X3D, DDR4 3200 128GB
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3070 laptop |
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Gigabyte RTX 4080 / i5-13600KF / 32GB RAM
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4070 ti super, ram 64gb, Core i7 12700f, Windows 11, python 3.11.9 |
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I Believe this to be an accurate scrape of this thread until this comment #2970 (comment). I assumed non mobile GPU/CPU were desktop systems. Mines the very last few rows (RIP, lol). Hope this is helpful!
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Rtx 4090 16 GB mobile Dell |
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This is where the pain and sadness 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [02:28<00:00, 7.45s/it] |
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MSI GeForce RTX 3080 VENTUS 3X 10G / Ryzen 7 7800X3D / 32GB RAM 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.00it/s] |
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Sapphire Nitro+ Radeon RX 7900 XTX Vapor-X with AMD Go Fast extension and some other tweaks, Linux 6.11.5, ROCM 6.2.0:
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T_T 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [04:37<00:00, 13.88s/it] |
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Hello all 😊, finally signed after a few months of following the discussions, now i can annoy everyone with questions lol results from my Acer TC1760 , i5-12400, 32gb DDR4 3200 ram, 1tb WD black sn770 nvme, and no laughing .. RTX 3050 6gb. Total VRAM 6144 MB, total RAM 32612 MB 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:25<00:00, 1.29s/it] |
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RTX 3090, NVIDIA-SMI 550.120, Driver Version: 550.120, CUDA Version: 12.4 The Model is already loaded. First run after cooling down the RTX to 33°C is always slower than the second run. After that it is getting slower until around 73°C. Temp: 33°C, with "Save Image" Prompt executed in 5.37 seconds Temp: 33°C, with "Preview Image" Prompt executed in 5.28 seconds Temp: 73°C, with "Save Image" Prompt executed in 5.46 seconds Temp: 73°C, with "Preview Image" Prompt executed in 5.39 seconds |
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We recently re-ran our ComfyUI-based flows and thought the results might be of interest to the local community. 🛠️📊 Here's just a screenshot: If you're interested in other graphs, follow the link: Hardware Results Also one page down ( |
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win11 wsl2 ubuntu 100%|███████████████████████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00, 4.03it/s] |
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Could we Do a benchmark for GPU´s ?
Need to get new hardware .
To keep it simple we could use the default load worklow on 1024*1024 with sdxl 1.0.
Seed 1
I know that ram comes in play when workflows get more complex , but for the start simple ist best.
Please post the second run. first run ist a little bit corupted by loading data.
theory pudget:
toms hardware 1111:
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