Intel Iris Pro Graphics 580
About GPU
The Intel Iris Pro Graphics 580 GPU is an integrated graphics solution that offers solid performance for integrated graphics. With a base clock speed of 350MHz and a boost clock of 950MHz, this GPU delivers impressive speed for integrated graphics. The system shared memory size and type provide enough flexibility for a range of tasks, from casual gaming to video editing.
The 576 shading units allow for smooth and detailed visuals, and the 15W TDP ensures that the GPU operates efficiently without draining power. The theoretical performance of 1.094 TFLOPS is respectable for integrated graphics and allows for smooth performance in most games and applications.
One standout feature of the Intel Iris Pro Graphics 580 is its ability to handle 4K video playback and editing, making it a great choice for multimedia professionals and enthusiasts. The GPU can handle demanding tasks such as video rendering and editing without breaking a sweat.
Overall, the Intel Iris Pro Graphics 580 is a solid integrated GPU that offers impressive performance for its class. While it may not match the capabilities of a dedicated graphics card, it is more than capable of handling everyday tasks, casual gaming, and multimedia editing. If you're in the market for a laptop or desktop with integrated graphics, the Intel Iris Pro Graphics 580 is definitely worth considering.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
September 2015
Model Name
Iris Pro Graphics 580
Generation
HD Graphics-M
Base Clock
350MHz
Boost Clock
950MHz
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.
8.550 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.
68.40 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.
2.189 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.
273.6 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.
1.072
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
1.072
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS