AMD Radeon RX 460 Mobile
The AMD Radeon RX 460 Mobile GPU is a solid choice for budget-conscious gamers and casual users looking for a reliable and efficient graphics solution. With a base clock of 1000MHz and a boost clock of 1180MHz, this GPU offers respectable performance for its class. The 4GB of GDDR5 memory with a 1250MHz memory clock ensures smooth and responsive gameplay, even at higher resolutions.
Featuring 896 shading units and a 1024KB L2 cache, the RX 460 is capable of handling modern games and multimedia tasks with ease. The 55W TDP makes it a power-efficient option for laptops and other mobile devices.
In terms of performance, the AMD Radeon RX 460 Mobile GPU boasts a theoretical performance of 2.115 TFLOPS, making it suitable for 1080p gaming at medium to high settings. While it may not be the most powerful GPU on the market, it certainly delivers a compelling performance-to-cost ratio.
Furthermore, its compact form factor and energy efficiency make it an attractive option for thin and light laptops or small form factor PCs. Overall, the AMD Radeon RX 460 Mobile GPU offers a balanced combination of performance, power efficiency, and affordability, making it a worthy option for budget-minded gamers and users seeking solid graphics performance for their mobile devices.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
August 2016
Model Name
Radeon RX 460 Mobile
Generation
Mobility Radeon
Base Clock
1000MHz
Boost Clock
1180MHz
Bus Interface
MXM-B (3.0)
Transistors
3,000 million
Compute Units
14
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
56
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
Memory Specifications
Memory Size
4GB
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
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.
80.00 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.
18.88 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.
66.08 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.
2.115 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.
132.2 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.
2.157
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.
896
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
55W
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
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Benchmarks
FP32 (float)
Score
2.157
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS