Intel Iris Xe Graphics 96EU
About GPU
The Intel Iris Xe Graphics 96EU GPU is an integrated graphics solution that is designed to provide high performance for a wide range of applications. With a base clock of 300MHz and a boost clock of 1400MHz, this GPU is capable of delivering smooth and responsive graphics performance for gaming, content creation, and everyday computing tasks.
One of the key features of the Intel Iris Xe Graphics 96EU GPU is its 768 shading units, which enable it to handle complex rendering tasks with ease. Additionally, the 1024KB L2 cache helps to minimize latency and improve overall performance, while the 45W TDP ensures that the GPU operates efficiently without consuming excessive power.
In terms of memory, the Intel Iris Xe Graphics 96EU GPU utilizes system shared memory, which allows it to dynamically allocate available memory resources based on the specific requirements of each application. This adaptive memory system helps to optimize performance and ensure that the GPU can handle demanding workloads without running out of memory.
With a theoretical performance of 2.15 TFLOPS, the Intel Iris Xe Graphics 96EU GPU offers impressive graphics capabilities that are well-suited for modern gaming and content creation. Whether you're playing the latest games or editing high-resolution videos, this GPU delivers the performance you need to get the job done.
Overall, the Intel Iris Xe Graphics 96EU GPU is a powerful integrated graphics solution that offers impressive performance for a wide range of applications. Its high clock speeds, efficient memory system, and robust shading units make it a solid choice for anyone in need of a reliable graphics solution.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
January 2022
Model Name
Iris Xe Graphics 96EU
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1400MHz
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.
33.60 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.
67.20 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.
4.301 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.
537.6 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.
2.193
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
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
Benchmarks
FP32 (float)
Score
2.193
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS