AMD Radeon RX 580 2048SP

AMD Radeon RX 580 2048SP

About GPU

The AMD Radeon RX 580 2048SP is a solid mid-range GPU that offers impressive performance and value for gamers and content creators. With a base clock of 1168MHz and a boost clock of 1284MHz, this GPU delivers smooth and reliable performance for a wide range of tasks. The 4GB of GDDR5 memory with a memory clock of 1750MHz provides ample resources for high-resolution gaming and content creation, while the 2048 shading units and 2MB of L2 cache ensure efficient rendering and processing of complex visuals. The TDP of 150W is relatively efficient for the level of performance offered, and the 5.259 TFLOPS theoretical performance and 3DMark Time Spy score of 3829 demonstrate the GPU's ability to handle demanding games and applications with ease. In terms of real-world performance, the Radeon RX 580 2048SP excels in 1080p and 1440p gaming, delivering smooth frame rates and high-quality visuals in popular titles. Its strong performance-per-dollar ratio makes it an attractive option for budget-conscious gamers looking to maximize their gaming experience without breaking the bank. Overall, the AMD Radeon RX 580 2048SP is a versatile and capable GPU that offers excellent performance and value for gamers and content creators. Whether you're gaming, streaming, or editing videos, this GPU delivers a compelling combination of performance and affordability.

Basic

Label Name
AMD
Platform
Desktop
Launch Date
October 2018
Model Name
Radeon RX 580 2048SP
Generation
Polaris
Base Clock
1168MHz
Boost Clock
1284MHz
Bus Interface
PCIe 3.0 x16

Memory Specifications

Memory Size
4GB
Memory Type
GDDR5
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.
256bit
Memory Clock
1750MHz
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.
224.0 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.
41.09 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.
164.4 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.
5.259 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.
328.7 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.
5.154 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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
150W
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.
1.2
OpenCL Version
2.1

Benchmarks

FP32 (float)
Score
5.154 TFLOPS
3DMark Time Spy
Score
3906
Blender
Score
442
Vulkan
Score
40716
OpenCL
Score
34827

Compared to Other GPU

FP32 (float) / TFLOPS
5.147 -0.1%
5.147 -0.1%
3DMark Time Spy
4069 +4.2%
3953 +1.2%
3881 -0.6%
Blender
446 +0.9%
445 +0.7%
438 -0.9%
436 -1.4%
Vulkan
44103 +8.3%
43484 +6.8%
40401 -0.8%
39646 -2.6%
OpenCL
35443 +1.8%
A2
35144 +0.9%
34620 -0.6%
34541 -0.8%