Home / GPU Comparison / NVIDIA GeForce RTX 4090 Mobile or NVIDIA GeForce RTX 5090 Mobile: What's better?

NVIDIA GeForce RTX 4090 Mobile

vs

NVIDIA GeForce RTX 5090 Mobile

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 4090 Mobile and NVIDIA GeForce RTX 5090 Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 5090 Mobile

Higher Boost Clock: 1597–2160 MHz (1695MHz vs 1597–2160 MHz)
Larger Memory Size: 24 GB (16GB vs 24 GB)
Higher Bandwidth: 896 GB/s (576.0 GB/s vs 896 GB/s)
More Shading Units: 10496 (9728 vs 10496)
Newer Launch Date: January 2025 (January 2023 vs January 2025)

Basic

NVIDIA

Label Name

NVIDIA

January 2023

Launch Date

January 2025

Mobile

Platform

Mobile

GeForce RTX 4090 Mobile

Model Name

GeForce RTX 5090 Mobile

GeForce 40 Mobile

Generation

GeForce 50 Mobile

1335MHz

Base Clock

1695MHz

Boost Clock

1597–2160 MHz

PCIe 4.0 x16

Bus Interface

PCIe 5.0 x16

45,900 million

Transistors

45.6 billion

RT Cores

304

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.

328

304

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.

328

TSMC

Foundry

TSMC

4 nm

Process Size

Ada Lovelace

Architecture

Blackwell

Memory Specifications

16GB

Memory Size

24 GB

GDDR6

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.

256bit

2250MHz

Memory Clock

1750 MHz

576.0 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.

896 GB/s

Display and Media

Portable Device Dependent

Outputs

Laptop-dependent; HDMI 2.1b / DP 2.1b supported

Theoretical Performance

189.8 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.

241.9 GPixel/s

515.3 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.

708.5 GTexel/s

32.98 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.

45.34 TFLOPS

515.3 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.

708.5 GFLOPS

33.64 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.

45.34 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.

9728

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.

10496

128 KB (per SM)

L1 Cache

128 KB (per SM)

64MB

L2 Cache

64 MB

120W

TDP

95–150 W

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

3.0

4.6

OpenGL

4.6

8.9

CUDA

12.0

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

None

Power Connectors

None

112

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.

112

6.7

Shader Model

6.8