AMD Radeon RX 540 Mobile

AMD Radeon RX 540 Mobile

About GPU

The AMD Radeon RX 540 Mobile GPU is a solid mid-range graphics card designed for use in laptops and other mobile devices. With a base clock speed of 1124MHz and a boost clock speed of 1219MHz, this GPU offers enough power to run modern games and software with ease. The 2GB of GDDR5 memory and a memory clock speed of 1500MHz provide enough memory bandwidth for smooth performance in most applications. The 512 shading units and 512KB of L2 cache contribute to the GPU's performance, allowing it to handle complex graphics rendering tasks efficiently. The 50W TDP is relatively low for a mid-range mobile GPU, which means it can deliver good performance without consuming too much power or generating excessive heat. In terms of real-world performance, the AMD Radeon RX 540 Mobile GPU is capable of running most modern games at 1080p resolution and medium to high settings. It can also handle video editing, 3D rendering, and other GPU-intensive tasks with relative ease. However, for more demanding games and applications, users may need to lower the graphics settings to achieve smooth frame rates. Overall, the AMD Radeon RX 540 Mobile GPU offers a good balance of performance, power efficiency, and affordability, making it a solid choice for mid-range laptops and mobile devices. While it may not be the most powerful GPU on the market, it provides enough performance for the average user's needs.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
November 2017
Model Name
Radeon RX 540 Mobile
Generation
Mobility Radeon
Base Clock
1124MHz
Boost Clock
1219MHz
Bus Interface
PCIe 3.0 x8

Memory Specifications

Memory Size
2GB
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.
128bit
Memory Clock
1500MHz
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.
96.00 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.
19.50 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.
39.01 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.
1248 GFLOPS
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.
78.02 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.
1.273 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.
512
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
50W
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
1.273 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.273 +0%
1.273 +0%
1.272 -0.1%
1.265 -0.6%