AMD Radeon RX 5700M

AMD Radeon RX 5700M

About GPU

The AMD Radeon RX 5700M is a high-performance mobile GPU that brings a wealth of power and capabilities to laptops. With a base clock speed of 1465MHz and a boost clock speed of 1720MHz, the RX 5700M is capable of delivering fast and fluid graphics performance for a wide range of gaming and professional applications. One of the notable features of the Radeon RX 5700M is its 8GB of GDDR6 memory, which operates at a memory clock speed of 1500MHz. This high-speed memory allows the GPU to handle large textures and complex scenes with ease, resulting in smooth and immersive gaming experiences. With 2304 shading units and 8MB of L2 cache, the RX 5700M is capable of handling demanding graphics workloads with ease. Its TDP of 180W ensures that it delivers ample power for sustained performance without overheating or throttling. The theoretical performance of the RX 5700M is an impressive 7.926 TFLOPS, making it well-suited for handling modern AAA games and professional 3D applications with ease. The GPU's architecture and efficiency make it a great choice for gamers and content creators who demand high levels of performance from their laptops. Overall, the AMD Radeon RX 5700M is a powerhouse mobile GPU that offers impressive performance, advanced features, and support for the latest graphics technologies, making it a great choice for gamers and professionals alike.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
March 2020
Model Name
Radeon RX 5700M
Generation
Mobility Radeon
Base Clock
1465MHz
Boost Clock
1720MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
8GB
Memory Type
GDDR6
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
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.
384.0 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.
110.1 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.
247.7 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.
15.85 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.
495.4 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.
8.085 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.
2304
L2 Cache
8MB
TDP
180W
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
2.1

Benchmarks

FP32 (float)
Score
8.085 TFLOPS
Blender
Score
354

Compared to Other GPU

FP32 (float) / TFLOPS
8.108 +0.3%
8.088 +0%
8.028 -0.7%
Blender
367 +3.7%
348 -1.7%