Overclock Showdown, RTX 4070 SUPER Versus RX 7900 GRE
Run Golden Rabbit, Run!
The FPS Review took an RTX 4070 SUPER and clocked it up to an average GPU frequency of 2978MHz and 22.5Gbps for the VRAM. Then they took an RX 7900 GRE and boosted it’s average clock to 2566MHz, with VRAM at 20Gbps. After souping up the cards, they pitted them against each other in a variety of battles to see just what you can expect from these overclocked cards.
In almost every test NVIDIA’s RTX 4070 SUPER out performed the RX 7900 GRE, with a handful of games doing better on AMD’s card. However, the performance is so close that there is really no perceptible difference in gameplay. As far as the human eye can see, the cards offer the same performance, except when you bring ray tracing into it. Keep this in mind when you are shopping for a new mid-range card, unless you need the ray tracing performance, the price of cards should be your main focus.
It will be interesting to find out when both video cards are overclocked, how they compare in gaming performance, and what kind of gameplay experience they can both provide when pushed to the limits at 1440p, with DLSS, FSR, and Ray Tracing.
More Tech News From Around The Web
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- ASUS TUF Gaming GeForce RTX 4080 SUPER OC @ Guru of 3D
- Overclocking NVIDIA GeForce RTX 4070 SUPER Founders Edition @ The FPS Review
It is awesome to see what these cards can do when overclocked, especially the VRAM overclocks.
Though One ares that I would really like to see more of is VRAM overclocking on lower end cards that are typically starved memory throughput. For example, the RTX 4060, even without a GPU overclock, benefits greatly from a simple VRAM overclock due to how far they crippled the memory interface when compared to cards with much more memory throughput.
If you’re strictly talking about gaming, NVIDIA still has the advantage in drivers, especially for older games (DX11, etc). I also think NVIDIA’s software is still better overall. Outside of gaming, one important note is any kind of ML (AI) stuff. Regular people wanting to dabble in that on the side are going to want an NVIDIA card as things are now. I say this without any love for NVIDIA, and I wish things were different, but it’s the truth.
I wish there was more of a focus on AMD GPUs for AI workloads. With less crippling,you test to get far better FP16 compute performance for the money, but the over reliance on CUDA often leads to AMD GPUs getting very little attention.
For driver support, with the past 2 generations, AMD has vastly improved their drivers, but one area that will need tome is the establishment of a good track record of support.
Today, you can still get new driver updates for a GTX 760.