Intel Iris Pro Graphics P580
About GPU
The Intel Iris Pro Graphics P580 is an integrated GPU with a base clock of 350MHz and a boost clock of 1000MHz. It features 576 shading units and has a TDP of 15W. The GPU is designed for laptops and mobile devices, providing a balance between power efficiency and performance.
The memory size of the Intel Iris Pro Graphics P580 is system shared, meaning it uses the main system memory for graphics processing. This allows for flexibility in memory allocation and can be beneficial for tasks that require a large amount of memory. However, since it shares the memory with the CPU, it may not perform as well as dedicated graphics cards with their own dedicated memory.
In terms of performance, the Intel Iris Pro Graphics P580 has a theoretical performance of 1.152 TFLOPS. This makes it suitable for general computing tasks, light gaming, and multimedia applications. However, it may struggle with more demanding games and tasks that require high-end graphics capabilities.
Overall, the Intel Iris Pro Graphics P580 is a capable integrated GPU for laptops and mobile devices. Its power efficiency and decent performance make it suitable for everyday use and light gaming. However, it may not be the best option for users who require high-end graphics performance for demanding tasks such as video editing or 3D rendering.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
September 2015
Model Name
Iris Pro Graphics P580
Generation
HD Graphics-W
Base Clock
350MHz
Boost Clock
1000MHz
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.
9.000 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.
72.00 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.
2.304 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.
288.0 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.
1.129
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.
576
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
1.129
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS