Intel Iris Xe Graphics G7 80EU
About GPU
The Intel Iris Xe Graphics G7 80EU GPU is a powerful integrated graphics solution that offers impressive performance for a wide range of tasks. With a base clock of 300MHz and a boost clock of 1100MHz, this GPU is capable of handling demanding applications and games with ease.
One of the key features of this GPU is its 640 shading units, which allow for smooth and realistic graphics rendering. Additionally, the 1024KB of L2 cache helps to improve overall performance and reduce latency during operation.
The Intel Iris Xe Graphics G7 80EU GPU also boasts a low TDP of 15W, making it an efficient choice for laptops and other portable devices. Despite its low power consumption, this GPU still delivers impressive theoretical performance of 1.408 TFLOPS, allowing for smooth and responsive visuals in a variety of applications.
Another advantage of this GPU is its system shared memory, which can be dynamically allocated based on system requirements. This flexibility ensures that the GPU can adapt to different workloads and deliver optimal performance in any scenario.
Overall, the Intel Iris Xe Graphics G7 80EU GPU is a solid choice for those looking for a reliable integrated graphics solution. Whether you're a casual gamer, content creator, or simply looking to improve the visual experience on your device, this GPU delivers impressive performance in a power-efficient package.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
September 2020
Model Name
Iris Xe Graphics G7 80EU
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1100MHz
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.
22.00 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.
44.00 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.
2.816 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.
352.0 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.
1.38
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
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
1.38
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS