Intel Iris Xe MAX Graphics
About GPU
The Intel Iris Xe MAX Graphics GPU is a mobile platform GPU that boasts impressive specs and performance. With a base clock speed of 300MHz and a boost clock speed of 1650MHz, this GPU delivers fast and reliable performance for a variety of computing tasks, from gaming to content creation.
One standout feature of the Intel Iris Xe MAX is its 4GB of LPDDR4X memory, which is clocked at 2133MHz. This allows for smooth and efficient multitasking, as well as fluid rendering and processing of graphics-intensive applications. The GPU also carries 768 shading units and a 1024KB L2 cache, further enhancing its capabilities and enabling it to handle complex workloads with ease.
With a TDP of 25W, the Intel Iris Xe MAX strikes a good balance between performance and power efficiency, making it suitable for thin and light laptops without compromising on graphical capabilities. The theoretical performance of 2.534 TFLOPS further reinforces the GPU's ability to deliver high-quality visuals and smooth frame rates.
Overall, the Intel Iris Xe MAX Graphics GPU is a solid choice for individuals who require a reliable and powerful mobile graphics solution. Its robust specs, efficient power utilization, and strong theoretical performance make it a compelling option for a wide range of users, from casual gamers to professional content creators. Whether for work or play, the Intel Iris Xe MAX is sure to deliver a satisfying and immersive experience.
Basic
Label Name
Intel
Platform
Mobile
Launch Date
October 2020
Model Name
Iris Xe MAX Graphics
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1650MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
Memory Type
LPDDR4X
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
Memory Clock
2133MHz
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.
68.26 GB/s
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.
39.60 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.
79.20 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.
5.069 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.
633.6 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.
2.585
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.
768
L2 Cache
1024KB
TDP
25W
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
2.585
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS