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Intel UHD Graphics 48EU

vs

NVIDIA GeForce GTX 960

GPU Comparison Result

Below are the results of a comparison of Intel UHD Graphics 48EU and NVIDIA GeForce GTX 960 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel UHD Graphics 48EU

Newer Launch Date: September 2020 (September 2020 vs January 2015)

NVIDIA GeForce GTX 960

Larger Memory Size: 2GB (System Shared vs 2GB)
Higher Bandwidth: 112.2 GB/s (System Dependent vs 112.2 GB/s)
More Shading Units: 1024 (384 vs 1024)

Basic

Intel

Label Name

NVIDIA

September 2020

Launch Date

January 2015

Integrated

Platform

Desktop

Tiger Lake GT2

Former Codename

10 nm SuperFin

GPU Lithography

Intel UHD Graphics Xe G4 48EUs

Model Name

GeForce GTX 960

Tiger Lake

Generation

GeForce 900

Base Clock

1127MHz

Boost Clock

1178MHz

Ring Bus

Bus Interface

PCIe 3.0 x16

Transistors

2,940 million

RT Cores

Compute Units

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.

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

TSMC

10 nm SuperFin

Process Size

28 nm

Xe-LP (Generation 12.1)

Architecture

Maxwell 2.0

Memory Specifications

System Shared

Memory Size

2GB

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 Shared

Memory Clock

1753MHz

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.

112.2 GB/s

Display and Media

Decode Only

AV1 Encode/Decode

1.4

DisplayPort Extensions

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

2.0b

HDMI Version

Yes

Intel Quick Sync Video

7680 x 4320 @ 60Hz

Max Resolution DP

4096 x 2304 @ 60Hz

Max Resolution eDP

4096 x 2304 @ 60Hz

Max Resolution HDMI

Number of Displays Supported

eDP 1.4b, MIPI-DSI 2.0, DP 1.4, HDMI 2.0b

Outputs

1x DVI
1x HDMI 2.0
3x DisplayPort 1.4a

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.

37.70 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.

75.39 GTexel/s

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.

75.39 GFLOPS

0.8832 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.

2.365 TFLOPS

AI Features

Intel oneAPI, oneDNN, oneMKL

AI Software Frameworks Supported by GPU

Intel Deep Learning Boost on GPU

Miscellaneous

384

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.

1024

L1 Cache

48 KB (per SMM)

L2 Cache

1024KB

TDP

120W

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.

1.3

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

CUDA

5.2

12.1

DirectX

12 (12_1)

None

Power Connectors

1x 6-pin

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

300W