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NVIDIA GeForce RTX 5090

vs

NVIDIA GeForce RTX 6090

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 5090 and NVIDIA GeForce RTX 6090 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 5090

Larger Memory Size: 32 GB GDDR7 (32 GB GDDR7 vs 32GB)
Higher Bandwidth: 1792 GB/s (1792 GB/s vs 1.79TB/s)

NVIDIA GeForce RTX 6090

Higher Boost Clock: 2700 MHz (2407 MHz vs 2700 MHz)
Newer Launch Date: January 2027 (January 2025 vs January 2027)

Basic

NVIDIA

Label Name

NVIDIA

January 2025

Launch Date

January 2027

Desktop

Platform

Desktop

TSMC 4N

GPU Lithography

GeForce RTX 5090

Model Name

GeForce RTX 6090

GeForce 50

Generation

GeForce 60

2010 MHz

Base Clock

2300 MHz

2407 MHz

Boost Clock

2700 MHz

PCIe Gen 5

Bus Interface

PCIe 5.0 x16

92.2

Transistors

Unknown

170, 4th Gen

RT Cores

170

680, 5th 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

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

Process Size

3 nm

NVIDIA Blackwell / GB202

Architecture

Rubin

Memory Specifications

32 GB GDDR7

Memory Size

32GB

GDDR7

Memory Type

GDDR7

512-bit

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.

512bit

Memory Clock

1750 MHz

1792 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.

1.79TB/s

Display and Media

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

Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b

Theoretical Performance

423.6 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.

475.2 GPixel/s

1636.8 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.

1836.0 GTexel/s

104.8 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.

117.5 TFLOPS

1.613 TFLOPS

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.

1.836 TFLOPS

104.8 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.

115.15 TFLOPS

Miscellaneous

170

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

21760

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

128 KB (per SM)

L1 Cache

128 KB (per SM)

96 MB

L2 Cache

96 MB

575 W TGP

TDP

525W

1.4

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

CUDA Compute Capability 12.0

CUDA

12.0

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

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

Power Connectors

1x 16-pin

176

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

6.7

Shader Model

6.9

1000 W

Suggested PSU

900 W