Intel Iris Xe Graphics 80EU
The Intel Iris Xe Graphics 80EU GPU is an integrated graphics solution that is designed to deliver solid performance for everyday computing tasks and light gaming. With a base clock speed of 300MHz and a boost clock speed of 1300MHz, it offers decent speed for handling graphics-intensive applications and games.
One of the notable features of the Iris Xe Graphics 80EU GPU is its 640 shading units, which allow for smooth and efficient rendering of graphics. Additionally, it includes a 1024KB L2 cache, which helps in reducing latency and improving overall performance.
The GPU is capable of delivering a theoretical performance of 1.664 TFLOPS, which makes it suitable for running casual games and handling multimedia tasks like video editing and streaming. Furthermore, with a TDP of 45W, it strikes a good balance between power consumption and performance, making it a suitable option for laptops and small form factor desktops.
Since this GPU utilizes system shared memory, it may not be the best option for heavy gaming or professional graphics work. However, for everyday computing tasks and light gaming, it offers a good balance between performance and power efficiency.
In summary, the Intel Iris Xe Graphics 80EU GPU is a solid choice for users who are looking for a capable integrated graphics solution for their computing needs. It offers decent performance, power efficiency, and a good set of features for handling day-to-day tasks and casual gaming.
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Basic
Label Name
Intel
Platform
Integrated
Launch Date
January 2022
Model Name
Iris Xe Graphics 80EU
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1300MHz
Bus Interface
Ring Bus
Transistors
Unknown
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.
40
Foundry
Intel
Process Size
10 nm
Architecture
Generation 12.2
Memory Specifications
Memory Size
System Shared
Memory Type
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.
System Shared
Memory Clock
SystemShared
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
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.
26.00 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.
52.00 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.
3.328 TFLOPS
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.
416.0 GFLOPS
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.
1.631
TFLOPS
Miscellaneous
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.
640
L2 Cache
1024KB
TDP
45W
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
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 (12_1)
Shader Model
6.4
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.
20
Benchmarks
FP32 (float)
Score
1.631
TFLOPS
3DMark Time Spy
Score
1216
Blender
Score
147
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender