NVIDIA GeForce RTX 5080
vs
AMD Radeon RX 7900 XT
vs
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce RTX 5080
and
AMD Radeon RX 7900 XT
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2520 MHz (2520 MHz vs 2394MHz)
- More Shading Units: 10752 (10752 vs 5376)
- Newer Launch Date: January 2025 (January 2025 vs November 2022)
- Larger Memory Size: 20GB (16GB vs 20GB)
- Higher Bandwidth: 800.0 GB/s (160.0GB/s vs 800.0 GB/s)
Basic
NVIDIA
Label Name
AMD
January 2025
Launch Date
November 2022
Desktop
Platform
Desktop
GeForce RTX 5080
Model Name
Radeon RX 7900 XT
GeForce 50
Generation
Navi III
2235 MHz
Base Clock
1500MHz
2520 MHz
Boost Clock
2394MHz
PCIe 5.0 x16
Bus Interface
PCIe 4.0 x16
Unknown
Transistors
57,700 million
84
RT Cores
84
-
Compute Units
84
336
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.
-
336
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.
336
TSMC
Foundry
TSMC
-
Process Size
5 nm
Blackwell 2.0
Architecture
RDNA 3.0
Memory Specifications
16GB
Memory Size
20GB
GDDR7
Memory Type
GDDR6
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.
320bit
2500 MHz
Memory Clock
2500MHz
160.0GB/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.
800.0 GB/s
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.
459.6 GPixel/s
846.7 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.
804.4 GTexel/s
54.19 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.
103.0 TFLOPS
846.7 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.
1.609 TFLOPS
53.106
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.
50.45
TFLOPS
Miscellaneous
84
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.
-
10752
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.
5376
128 KB (per SM)
L1 Cache
256 KB per Array
64 MB
L2 Cache
6MB
350W
TDP
300W
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)
9.1
CUDA
-
1x 16-pin
Power Connectors
2x 8-pin
6.7
Shader Model
6.7
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.
192
750 W
Suggested PSU
700W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 5080
53.106
+5%
Radeon RX 7900 XT
50.45
3DMark Steel Nomad
GeForce RTX 5080
8858
+58%
Radeon RX 7900 XT
5622
Blender
GeForce RTX 5080
9154.41
+153%
Radeon RX 7900 XT
3618
Vulkan
GeForce RTX 5080
260990
+31%
Radeon RX 7900 XT
199473
OpenCL
GeForce RTX 5080
260803
+52%
Radeon RX 7900 XT
171826
Related GPU Comparisons
Share in social media
Or Link To Us
<a href="https://cputronic.com/gpu/compare/nvidia-geforce-rtx-5080-vs-amd-radeon-rx-7900-xt" target="_blank">NVIDIA GeForce RTX 5080 vs AMD Radeon RX 7900 XT</a>