Home / GPU Comparison / Intel Graphics 2 Xe-Cores (Wildcat Lake) or NVIDIA GeForce GTX 1050 Ti: What's better?

Intel Graphics 2 Xe-Cores (Wildcat Lake)

vs

NVIDIA GeForce GTX 1050 Ti

GPU Comparison Result

Below are the results of a comparison of Intel Graphics 2 Xe-Cores (Wildcat Lake) and NVIDIA GeForce GTX 1050 Ti video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Graphics 2 Xe-Cores (Wildcat Lake)

Higher Boost Clock: 2300-2600 MHz (2300-2600 MHz vs 1392MHz)
Newer Launch Date: April 2026 (April 2026 vs October 2016)

NVIDIA GeForce GTX 1050 Ti

Larger Memory Size: 4GB (System Shared vs 4GB)
Higher Bandwidth: 112.1 GB/s (System Dependent vs 112.1 GB/s)
More Shading Units: 768 (256 vs 768)

Basic

Intel

Label Name

NVIDIA

April 2026

Launch Date

October 2016

Integrated

Platform

Desktop

Wildcat Lake

Former Codename

Intel 18A

GPU Lithography

Intel Graphics

Model Name

GeForce GTX 1050 Ti

Xe3 (Wildcat Lake)

Generation

GeForce 10

Base Clock

1291MHz

2300-2600 MHz

Boost Clock

1392MHz

Bus Interface

PCIe 3.0 x16

Transistors

3,300 million

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.

Intel

Foundry

Samsung

1.8 nm-class

Process Size

14 nm

Xe3

Architecture

Pascal

Xe-cores

Memory Specifications

System Shared

Memory Size

4GB

DDR5-6400 / LPDDR5X-7467 (System Shared)

Memory Type

GDDR5

System Shared

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.

128bit

System Dependent

Memory Clock

1752MHz

System Dependent

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.

112.1 GB/s

Display and Media

Yes

AV1 Encode/Decode

DisplayPort 2.1 HBR3, DSC 1.2a, MST, Adaptive Sync

DisplayPort Extensions

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

H.266 VVC Hardware Encode/Decode

HDMI 2.0b (TMDS only)

HDMI Version

Yes

Intel Quick Sync Video

3840 x 2160 @ 60Hz

Max Resolution DP

3840 x 2160 @ 60Hz

Max Resolution eDP

Up to 4K @ 60 FPS

Max Video Decode Bandwidth

Up to 4K @ 60 FPS

Max Video Encode Bandwidth

Number of Displays Supported

eDP 1.5, DisplayPort 2.1 HBR3, HDMI 2.0b (TMDS only)

Outputs

1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a

Yes (DisplayPort via USB Type-C)

USB Type-C DisplayPort Alternate Mode

Theoretical Performance

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.

44.54 GPixel/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.

66.82 GTexel/s

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.

33.41 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.

66.82 GFLOPS

1.3312 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.

2.181 TFLOPS

AI Features

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

AI Software Frameworks Supported by GPU

18-21 TOPS

GPU Peak TOPS (Int8)

Yes

Intel Deep Learning Boost on GPU

Miscellaneous

Native PCIe Lanes

PCIe 4.0

PCI Express Version

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.

256

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.

768

L1 Cache

48 KB (per SM)

L2 Cache

1024KB

TDP

75W

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

CUDA

6.1

12.2

DirectX

12 (12_1)

Power Connectors

None

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.

Shader Model

6.4

Suggested PSU

250W