Home / GPU Comparison / NVIDIA GeForce MX450 30.5W 10Gbps or Intel Graphics 4 Xe-Cores (Panther Lake): What's better?

NVIDIA GeForce MX450 30.5W 10Gbps

vs

Intel Graphics 4 Xe-Cores (Panther Lake)

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce MX450 30.5W 10Gbps and Intel Graphics 4 Xe-Cores (Panther Lake) video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce MX450 30.5W 10Gbps

Larger Memory Size: 2GB (2GB vs System Shared)
Higher Bandwidth: 80.00 GB/s (80.00 GB/s vs System Dependent)
More Shading Units: 896 (896 vs 512)

Intel Graphics 4 Xe-Cores (Panther Lake)

Higher Boost Clock: 2300-2500 MHz (1575MHz vs 2300-2500 MHz)
Newer Launch Date: January 2026 (August 2020 vs January 2026)

Basic

NVIDIA

Label Name

Intel

August 2020

Launch Date

January 2026

Mobile

Platform

Integrated

Former Codename

Panther Lake

GPU Lithography

Intel 3

GeForce MX450 30.5W 10Gbps

Model Name

Intel Graphics

GeForce MX

Generation

Xe3 (Panther Lake)

1395MHz

Base Clock

300 MHz

1575MHz

Boost Clock

2300-2500 MHz

PCIe 4.0 x4

Bus Interface

4,700 million

Transistors

RT Cores

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.

TSMC

Foundry

Intel

12 nm

Process Size

Intel 3

Turing

Architecture

Xe3

Xe-cores

Memory Specifications

2GB

Memory Size

System Shared

GDDR6

Memory Type

DDR5 / LPDDR5X (System Shared)

64bit

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.

System Shared

1250MHz

Memory Clock

System Dependent

80.00 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.

System Dependent

Display and Media

AV1 Encode/Decode

Yes

DisplayPort Extensions

DisplayPort 2.1 UHBR20

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Yes

H.266 VVC Hardware Encode/Decode

Decode Only

HDMI Version

HDMI 2.1 FRL

Intel Quick Sync Video

Yes

Max Resolution DP

7680 x 4320 @ 60Hz

Max Resolution eDP

3840 x 2400 @ 120Hz

Number of Displays Supported

No outputs

Outputs

eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Theoretical Performance

50.40 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.

36.8-40.0 GPixel/s

88.20 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.

73.6-80.0 GTexel/s

5.645 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.

88.20 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.

2.766 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.

2.56 TFLOPS

AI Features

AI Software Frameworks Supported by GPU

OpenVINO, WindowsML, DirectML, ONNX RT, WebGPU, WebNN

GPU Peak TOPS (Int8)

37-40 TOPS

Intel Deep Learning Boost on GPU

Yes

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.

896

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.

512

64 KB (per SM)

L1 Cache

512KB

L2 Cache

4 MB

31W

TDP

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

7.5

CUDA

12 (12_1)

DirectX

DirectX 12 Ultimate

None

Power Connectors

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.

6.6

Shader Model