Home / GPU Comparison / Intel Iris Xe Graphics 80EU or NVIDIA GeForce GTX 970: What's better?

Intel Iris Xe Graphics 80EU

vs

NVIDIA GeForce GTX 970

GPU Comparison Result

Below are the results of a comparison of Intel Iris Xe Graphics 80EU and NVIDIA GeForce GTX 970 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Iris Xe Graphics 80EU

Higher Boost Clock: 1300MHz (1300MHz vs 1178MHz)
Newer Launch Date: January 2022 (January 2022 vs September 2014)

NVIDIA GeForce GTX 970

Larger Memory Size: 4GB (System Shared vs 4GB)
Higher Bandwidth: 224.4 GB/s (System Dependent vs 224.4 GB/s)
More Shading Units: 1664 (640 vs 1664)

Basic

Intel

Label Name

NVIDIA

January 2022

Launch Date

September 2014

Integrated

Platform

Desktop

Iris Xe Graphics 80EU

Model Name

GeForce GTX 970

HD Graphics-M

Generation

GeForce 900

300MHz

Base Clock

1050MHz

1300MHz

Boost Clock

1178MHz

Ring Bus

Bus Interface

PCIe 3.0 x16

Unknown

Transistors

5,200 million

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.

104

Intel

Foundry

TSMC

10 nm

Process Size

28 nm

Generation 12.2

Architecture

Maxwell 2.0

Memory Specifications

System Shared

Memory Size

4GB

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.

256bit

SystemShared

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.

224.4 GB/s

Display and Media

No outputs

Outputs

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

Theoretical Performance

26.00 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.

65.97 GPixel/s

52.00 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.

122.5 GTexel/s

3.328 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.

416.0 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.

122.5 GFLOPS

1.631 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.

3.842 TFLOPS

Miscellaneous

640

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.

1664

L1 Cache

48 KB (per SMM)

1024KB

L2 Cache

2MB

45W

TDP

148W

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

5.2

12 (12_1)

DirectX

12 (12_1)

Power Connectors

2x 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.

6.4

Shader Model

6.4

Suggested PSU

300W