Home / GPU Comparison / NVIDIA GeForce RTX 2080 Ti or AMD Radeon RX 7700 XT: What's better?

NVIDIA GeForce RTX 2080 Ti
vs
AMD Radeon RX 7700 XT

NVIDIA GeForce RTX 2080 Ti
vs
AMD Radeon RX 7700 XT

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 2080 Ti and AMD Radeon RX 7700 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 2080 Ti
NVIDIA GeForce RTX 2080 Ti
NVIDIA GeForce RTX 2080 Ti
  • Higher Bandwidth: 616.0 GB/s (616.0 GB/s vs 432.0 GB/s)
  • More Shading Units: 4352 (4352 vs 3456)
AMD Radeon RX 7700 XT
AMD Radeon RX 7700 XT
AMD Radeon RX 7700 XT
  • Higher Boost Clock: 2544MHz (1545MHz vs 2544MHz)
  • Larger Memory Size: 12GB (11GB vs 12GB)
  • Newer Launch Date: August 2023 (September 2018 vs August 2023)

Basic

NVIDIA
Label Name
AMD
September 2018
Launch Date
August 2023
Desktop
Platform
Desktop
GeForce RTX 2080 Ti
Model Name
Radeon RX 7700 XT
GeForce 20
Generation
Navi III
1350MHz
Base Clock
1700MHz
1545MHz
Boost Clock
2544MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
18,600 million
Transistors
28,100 million
68
RT Cores
54
-
Compute Units
54
544
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.
-
272
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.
216
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
Turing
Architecture
RDNA 3.0

Memory Specifications

11GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
352bit
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
1750MHz
Memory Clock
2250MHz
616.0 GB/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.
432.0 GB/s

Theoretical Performance

136.0 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.
244.2 GPixel/s
420.2 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.
549.5 GTexel/s
26.90 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.
70.34 TFLOPS
420.2 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.
1099 GFLOPS
13.181 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.
35.873 TFLOPS

Miscellaneous

68
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.
-
4352
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.
3456
64 KB (per SM)
L1 Cache
128 KB per Array
0MB
L2 Cache
2MB
250W
TDP
245W
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.
1.3
3.0
OpenCL Version
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
7.5
CUDA
-
2x 8-pin
Power Connectors
2x 8-pin
88
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.
96
6.6
Shader Model
6.7
600W
Suggested PSU
550W

Benchmarks

Shadow of the Tomb Raider 2160p / fps
GeForce RTX 2080 Ti
57
Radeon RX 7700 XT
63 +11%
Shadow of the Tomb Raider 1440p / fps
GeForce RTX 2080 Ti
107
Radeon RX 7700 XT
131 +22%
Shadow of the Tomb Raider 1080p / fps
GeForce RTX 2080 Ti
148
Radeon RX 7700 XT
214 +45%
Cyberpunk 2077 2160p / fps
GeForce RTX 2080 Ti
51 +38%
Radeon RX 7700 XT
37
Cyberpunk 2077 1440p / fps
GeForce RTX 2080 Ti
61
Radeon RX 7700 XT
97 +59%
Cyberpunk 2077 1080p / fps
GeForce RTX 2080 Ti
84
Radeon RX 7700 XT
142 +69%
GTA 5 2160p / fps
GeForce RTX 2080 Ti
92
Radeon RX 7700 XT
108 +17%
GTA 5 1440p / fps
GeForce RTX 2080 Ti
149 +31%
Radeon RX 7700 XT
114
FP32 (float) / TFLOPS
GeForce RTX 2080 Ti
13.181
Radeon RX 7700 XT
35.873 +172%
3DMark Time Spy
GeForce RTX 2080 Ti
14965
Radeon RX 7700 XT
15945 +7%
3DMark Steel Nomad
GeForce RTX 2080 Ti
3502 +5%
Radeon RX 7700 XT
3320
Blender
GeForce RTX 2080 Ti
2640.18 +14%
Radeon RX 7700 XT
2323
Vulkan
GeForce RTX 2080 Ti
132317
Radeon RX 7700 XT
136465 +3%
OpenCL
GeForce RTX 2080 Ti
147055 +16%
Radeon RX 7700 XT
126692