Intel Iris Xe Graphics 80EU Mobile
About GPU
The Intel Iris Xe Graphics 80EU Mobile GPU is a solid integrated graphics solution for thin and light laptops. With a base clock speed of 300MHz and a boost clock speed of 1450MHz, this GPU offers enough power for everyday tasks and even some light gaming. The 640 shading units allow for smooth and detailed graphics, while the 15W TDP ensures that it doesn't drain the battery too quickly.
One of the standout features of the Intel Iris Xe Graphics 80EU Mobile GPU is its memory size, which is system shared, as well as the memory type and clock speed. This allows for efficient use of system resources and can result in improved overall system performance.
The theoretical performance of 1.856 TFLOPS also makes this GPU a great choice for casual gamers or those who need a little extra graphical power for productivity tasks. It can handle a variety of games and applications with ease, and the integrated nature of the GPU means that it doesn't require a dedicated graphics card, making it an ideal choice for thin and light laptops.
Overall, the Intel Iris Xe Graphics 80EU Mobile GPU is a reliable and efficient integrated graphics solution for mobile devices. It offers solid performance and power efficiency, making it a great choice for those looking for a balance of power and battery life in their laptop.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
January 2023
Model Name
Iris Xe Graphics 80EU Mobile
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1450MHz
Bus Interface
Ring Bus
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.
29.00 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.
58.00 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.
3.712 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.
1.893
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
TDP
15W
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
Benchmarks
FP32 (float)
Score
1.893
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS