AMD Radeon RX 6450M

AMD Radeon RX 6450M

About GPU

The AMD Radeon RX 6450M GPU is a mobile graphics card that offers solid performance and power efficiency for a range of gaming and computing tasks. With a base clock speed of 2000MHz and a boost clock speed of 2460MHz, this GPU is capable of handling demanding graphics-intensive applications with ease. One of the key features of the Radeon RX 6450M is its 4GB of GDDR6 memory, which provides fast and responsive performance for gaming, video editing, and other graphics-heavy tasks. The memory clock speed of 2000MHz ensures smooth and reliable operation, even when multitasking or running multiple applications simultaneously. With 768 shading units and a 1024KB L2 cache, the Radeon RX 6450M delivers impressive graphics rendering capabilities, allowing for detailed and realistic visuals in games and multimedia content. The GPU's TDP of 50W ensures efficient power usage, making it suitable for use in a wide range of laptops and mobile devices. In terms of performance, the Radeon RX 6450M boasts a theoretical performance of 3.779 TFLOPS, making it well-suited for both casual and enthusiast gamers, as well as creative professionals who require reliable graphics processing power for their work. Overall, the AMD Radeon RX 6450M GPU offers a compelling combination of performance, power efficiency, and memory capacity, making it a solid choice for gamers and content creators who need a reliable and capable mobile graphics solution.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
January 2023
Model Name
Radeon RX 6450M
Generation
Navi Mobile
Base Clock
2000MHz
Boost Clock
2460MHz
Bus Interface
PCIe 4.0 x4

Memory Specifications

Memory Size
4GB
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.
64bit
Memory Clock
2000MHz
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.
128.0 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.
78.72 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.
118.1 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.
7.557 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.
236.2 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.
3.703 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.
768
L1 Cache
128 KB per Array
L2 Cache
1024KB
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.
1.3
OpenCL Version
2.2

Benchmarks

FP32 (float)
Score
3.703 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
3.713 +0.3%
3.713 +0.3%
3.698 -0.1%
3.693 -0.3%