AMD Radeon R9 M485X
About GPU
The AMD Radeon R9 M485X GPU is a powerful mobile graphics processor that offers excellent performance and ample memory for gaming and content creation tasks. With 8GB of GDDR5 memory and a memory clock speed of 1250MHz, this GPU provides ample bandwidth for handling high-resolution textures and complex visual effects.
One of the standout features of the Radeon R9 M485X is its 2048 shading units, which allows for smooth and realistic rendering of lighting, shadows, and other visual elements in games and applications. Additionally, the 512KB L2 cache helps to reduce memory latency and improve overall performance.
With a TDP of 250W, this GPU is best suited for larger, high-performance laptops and mobile workstations. While it may consume more power than some other mobile GPUs, the Radeon R9 M485X makes up for it with its impressive theoretical performance of 2.961 TFLOPS. This makes it well-suited for demanding gaming and professional applications.
Overall, the AMD Radeon R9 M485X GPU is a solid choice for users who require powerful graphics performance on the go. Whether you're a gamer looking to experience the latest titles at high settings, or a content creator in need of a capable GPU for video editing and 3D rendering, the Radeon R9 M485X has the features and performance to meet your needs.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2016
Model Name
Radeon R9 M485X
Generation
Crystal System
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
8GB
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
1250MHz
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.
160.0 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.
23.14 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.
92.54 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.
2.961 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.
185.1 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.
3.02
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
512KB
TDP
250W
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
2.0
Benchmarks
FP32 (float)
Score
3.02
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS