Home / GPU Comparison / NVIDIA GeForce GTX 1080 Ti or NVIDIA GeForce RTX 5090: What's better?

NVIDIA GeForce GTX 1080 Ti

vs

NVIDIA GeForce RTX 5090

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 1080 Ti and NVIDIA GeForce RTX 5090 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 5090

Higher Boost Clock: 2407 MHz (1582MHz vs 2407 MHz)
Larger Memory Size: 32 GB GDDR7 (11GB vs 32 GB GDDR7)
Higher Bandwidth: 1792 GB/s (484.4 GB/s vs 1792 GB/s)
More Shading Units: 21760 (3584 vs 21760)
Newer Launch Date: January 2025 (March 2017 vs January 2025)

Basic

NVIDIA

Label Name

NVIDIA

March 2017

Launch Date

January 2025

Desktop

Platform

Desktop

GPU Lithography

TSMC 4N

GeForce GTX 1080 Ti

Model Name

GeForce RTX 5090

GeForce 10

Generation

GeForce 50

1481MHz

Base Clock

2010 MHz

1582MHz

Boost Clock

2407 MHz

PCIe 3.0 x16

Bus Interface

PCIe Gen 5

11,800 million

Transistors

92.2

RT Cores

170, 4th Gen

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.

680, 5th Gen

224

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.

680

TSMC

Foundry

TSMC

16 nm

Process Size

Pascal

Architecture

NVIDIA Blackwell / GB202

Memory Specifications

11GB

Memory Size

32 GB GDDR7

GDDR5X

Memory Type

GDDR7

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.

512-bit

1376MHz

Memory Clock

484.4 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.

1792 GB/s

Display and Media

1x HDMI 2.0
3x DisplayPort 1.4a

Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b with UHBR20

Theoretical Performance

139.2 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.

423.6 GPixel/s

354.4 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.

1636.8 GTexel/s

177.2 GFLOPS

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.

104.8 TFLOPS

354.4 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.

1.613 TFLOPS

11.567 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.

104.8 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.

170

3584

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.

21760

48 KB (per SM)

L1 Cache

128 KB (per SM)

0MB

L2 Cache

96 MB

250W

TDP

575 W TGP

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

6.1

CUDA

CUDA Compute Capability 12.0

12 (12_1)

DirectX

12 Ultimate (12_2)

1x 6-pin + 1x 8-pin

Power Connectors

1x 16-pin (12V-2x6)

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.

176

6.4

Shader Model

6.7

600W

Suggested PSU

1000 W