AMD Radeon Pro 460
About GPU
The AMD Radeon Pro 460 GPU is a powerful and efficient mobile graphics card that delivers exceptional performance for demanding tasks such as 3D rendering, video editing, and gaming. With a base clock speed of 850MHz and a boost clock speed of 907MHz, this GPU provides smooth and responsive graphics rendering.
The 4GB GDDR5 memory type and a memory clock of 1270MHz ensure fast and reliable data access, allowing for seamless multitasking and handling of large graphical workloads. The 1024 shading units and 1024KB L2 cache contribute to the GPU's impressive rendering capabilities, producing stunning visual quality and smooth frame rates.
One of the standout features of the AMD Radeon Pro 460 GPU is its low TDP of 35W, which means it consumes less power while delivering high performance, making it an ideal choice for mobile workstations and gaming laptops. Additionally, with a theoretical performance of 1.858 TFLOPS, this GPU offers the horsepower needed for graphics-intensive applications.
Overall, the AMD Radeon Pro 460 GPU is a solid choice for professionals and enthusiasts seeking a reliable and efficient graphics solution for their mobile devices. Its combination of high performance, low power consumption, and ample memory makes it a versatile and capable GPU for a wide range of graphical tasks. Whether you're a content creator, designer, or gamer, the AMD Radeon Pro 460 GPU delivers the power and reliability you need to bring your visions to life.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2016
Model Name
Radeon Pro 460
Generation
Radeon Pro Mac
Base Clock
850MHz
Boost Clock
907MHz
Bus Interface
PCIe 3.0 x8
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
1270MHz
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.
81.28 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.
14.51 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.
58.05 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.
1.858 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.
116.1 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.
1.821
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.
1024
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
35W
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
1.821
TFLOPS
OpenCL
Score
14494
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL