AMD Radeon 540 Mobile
About GPU
The AMD Radeon 540 Mobile GPU is a mid-range graphics card designed for laptops and mobile devices. With a base clock of 1100MHz and a boost clock of 1124MHz, it provides decent performance for gaming and multimedia tasks. With 2GB of GDDR5 memory and a memory clock of 1500MHz, it can handle moderate gaming and content creation workloads.
The GPU features 512 shading units and 256KB of L2 cache, allowing for smooth rendering and image processing. The TDP of 50W ensures that it can operate efficiently without draining the battery too quickly. The theoretical performance of 1.151 TFLOPS indicates that it can handle most modern games at low to medium settings.
In real-world performance, the AMD Radeon 540 Mobile GPU delivers reliable frame rates in 1080p gaming, making it suitable for casual and esports gaming. It can also handle video editing and 3D rendering tasks with ease, making it a versatile option for content creators on the go.
Overall, the AMD Radeon 540 Mobile GPU offers a good balance of performance, power efficiency, and affordability for users who require moderate graphics performance in a portable form factor. While it may not be able to handle the latest AAA titles at high settings, it's a solid choice for mainstream gaming and productivity tasks on a laptop.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon 540 Mobile
Generation
Mobility Radeon
Base Clock
1100MHz
Boost Clock
1124MHz
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.
64bit
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.
48.00 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.
17.98 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.
35.97 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.
1151 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.
71.94 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.
1.174
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
256KB
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
1.174
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS