Home / GPU Comparison / NVIDIA GeForce RTX 5070 Ti or NVIDIA GeForce RTX 5070 SUPER: What's better?

NVIDIA GeForce RTX 5070 Ti

vs

NVIDIA GeForce RTX 5070 SUPER

NVIDIA GeForce RTX 5070 Ti vs NVIDIA GeForce RTX 5070 SUPER graphics card comparison

GPU Comparison Result

NVIDIA GeForce RTX 5070 Ti vs RTX 5070 SUPER: powerful GPU or 18 GB of memory?

On paper, the GeForce RTX 5070 SUPER looks unusual: the anticipated new model is expected to come with 18 GB of video memory-2 GB more than the more expensive RTX 5070 Ti. However, these cards belong to different tiers in terms of computational power. The RTX 5070 Ti uses a larger GPU, has nearly 40% more CUDA cores, and boasts a significantly wider memory subsystem.

Therefore, comparing only 16 and 18 GB is misleading. In most games, GPU power and memory bandwidth are more important, while additional VRAM becomes crucial only in specific workloads.

But there is an important caveat: as of July 20, 2026, NVIDIA has not officially announced the GeForce RTX 5070 SUPER. The company's lineup only includes the RTX 5070 and RTX 5070 Ti, while the specifications of the SUPER version are based on leaks. There have also been reports that its release may have been postponed due to the high cost of 3-gigabit GDDR7 chips.

Specifications Comparison

Specification	GeForce RTX 5070 Ti	GeForce RTX 5070 SUPER*
Architecture	Blackwell	Blackwell
GPU	GB203	GB205
CUDA Cores	8960	6400
Video Memory	16 GB GDDR7	18 GB GDDR7
Memory Bus	256 bits	192 bits
Bandwidth	896 GB/s	about 672 GB/s
Power Consumption	300 W	about 275 W
Status	released	officially unannounced

*Specifications for RTX 5070 SUPER are preliminary and may change before the announcement.

RTX 5070 Ti is in a higher class

The name RTX 5070 SUPER may create the impression that it is positioned alongside the RTX 5070 Ti. However, in terms of configuration, this is not the case.

According to preliminary data, the RTX 5070 SUPER will have 6400 CUDA cores-only about 4% more than the regular RTX 5070 with 6144 cores. The RTX 5070 Ti already has 8960 CUDA cores. The difference between the compared cards reaches 40%.

The number of cores cannot be directly translated into frame rate differences: performance is influenced by frequencies, power limits, memory, and specific game engines. However, the scale of the differences indicates that the SUPER version should occupy an intermediate position between the RTX 5070 and RTX 5070 Ti, rather than replace the Ti model.

The RTX 5070 Ti will be faster in tasks limited by GPU computational power:

games at 4K;
heavy ray tracing;
rendering;
video editing;
work with high frame rates.

What do the additional 2 GB of memory provide?

The main argument for the RTX 5070 SUPER is the anticipated 18 GB of GDDR7. This represents a significant improvement over the 12 GB of the regular RTX 5070 and even 2 GB more than the RTX 5070 Ti.

However, the amount of VRAM indicates how much data the graphics card can store simultaneously, not how quickly it can process that data. The RTX 5070 Ti uses a 256-bit bus and provides a bandwidth of 896 GB/s. The RTX 5070 SUPER is expected to have a 192-bit bus and about 672 GB/s.

As long as a game or workload stays within 16 GB, the RTX 5070 Ti will remain faster due to its more powerful GPU and wider memory bus.

The additional 2 GB may come in handy in other scenarios:

local execution of neural network models;
large scenes in Blender;
high-resolution video editing;
games with heavy textures and modifications;
projects that do not fit within 16 GB.

In such cases, a larger amount of memory can sometimes be more important than performance. If a model or scene exceeds the VRAM limit, a faster card will not be able to fully utilize its advantage.

Gaming at 1440p and 4K

The RTX 5070 SUPER is likely to be primarily aimed at 1440p gaming. The increased amount of memory will address the main drawback of the regular RTX 5070 and provide more headroom for heavy textures and future games.

At the same time, the increase in the number of cores by only about 4% indicates moderate performance gains compared to the base RTX 5070. An increased power limit may boost frequencies, but a radical leap is not expected.

The RTX 5070 Ti is better suited for 4K and high refresh rate monitors. The larger GPU provides higher baseline FPS even before frame generation is enabled. This is especially important in ray tracing, where weak baseline performance has a greater impact on latency and image stability.

Both cards belong to the Blackwell architecture and should support DLSS 4, Multi Frame Generation, and Ray Reconstruction. The set of technologies will be the same, but their performance will not.

Price will be a decisive factor

The difference in power consumption is small: 300 W for the RTX 5070 Ti versus an estimated 275 W for the RTX 5070 SUPER. A saving of 25 W is unlikely to influence the choice more than price and performance.

The RTX 5070 SUPER makes sense only with a significant price gap from the RTX 5070 Ti. If it is priced closer to the regular RTX 5070, it could become a balanced choice for 1440p: 18 GB of memory, a small speed increase, and more confidence for the years to come.

However, if its cost approaches that of the RTX 5070 Ti, the advantage will disappear. For most games, the more powerful GPU and 256-bit bus will be more beneficial than the additional 2 GB of memory.

Conclusion

GeForce RTX 5070 Ti is the better choice for most buyers. It is significantly faster, better suited for 4K, ray tracing, rendering, and any tasks that fit within 16 GB of memory.

GeForce RTX 5070 SUPER should be considered in two cases: if it turns out to be significantly cheaper than the RTX 5070 Ti or if a specific workload genuinely requires more than 16 GB of VRAM.

Until the official announcement, it is too early to draw a final conclusion, but based on current information, the RTX 5070 SUPER does not appear to be a competitor to the RTX 5070 Ti, but rather a more practical replacement for the regular RTX 5070.

Advantages

NVIDIA GeForce RTX 5070 Ti

Higher Boost Clock: 2520 MHz (2520 MHz vs 2512 MHz)
Higher Bandwidth: 710.1GB/s (710.1GB/s vs 672.0GB/s)
More Shading Units: 8960 (8960 vs 6400)

NVIDIA GeForce RTX 5070 SUPER

Larger Memory Size: 18GB (16GB vs 18GB)

Basic

NVIDIA

Label Name

NVIDIA

January 2025

Launch Date

January 2025

Desktop

Platform

Desktop

GeForce RTX 5070 Ti

Model Name

GeForce RTX 5070 SUPER

GeForce 50

Generation

GeForce 50

2235 MHz

Base Clock

2325 MHz

2520 MHz

Boost Clock

2512 MHz

PCIe 5.0 x16

Bus Interface

PCIe 5.0 x16

Unknown

Transistors

31.1 billion

RT Cores

280

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

200

280

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

200

TSMC

Foundry

TSMC

Process Size

5 nm

Blackwell 2.0

Architecture

Blackwell 2.0

Memory Specifications

16GB

Memory Size

18GB

GDDR7

Memory Type

GDDR7

256bit

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

192bit

1750 MHz

Memory Clock

1750 MHz

710.1GB/s

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

672.0GB/s

Display and Media

1x HDMI 2.13x DisplayPort 1.4a

Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b

Theoretical Performance

322.6 GPixel/s

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

201.0 GPixel/s

705.6 GTexel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

502.4 GTexel/s

45.16 TFLOPS

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

32.15 TFLOPS

705.6 GFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

502.4 GFLOPS

44.257 TFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

31.828 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

8960

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

6400

128 KB (per SM)

L1 Cache

128 KB (per SM)

64 MB

L2 Cache

48 MB

300W

TDP

275W

1.3

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.4

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

10.1

CUDA

12.0

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

1x 16-pin

Power Connectors

1x 16-pin

128

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

6.8

Shader Model

6.8

700 W

Suggested PSU

600 W