AMD Radeon Pro 450
About GPU
The AMD Radeon Pro 450 GPU is a solid performer in the mobile GPU market. With a memory size of 2GB and GDDR5 memory type, it offers fast and reliable performance for a variety of tasks. The 1270MHz memory clock ensures smooth and efficient processing for graphics-intensive applications.
With 640 shading units and 1024KB L2 cache, the Radeon Pro 450 delivers impressive graphics rendering capabilities. Whether you're editing high-resolution images or videos, or playing the latest games, this GPU can handle demanding tasks with ease.
One of the standout features of the Radeon Pro 450 is its low TDP of 35W, which means it consumes less power and produces less heat, making it an efficient choice for mobile devices. Despite its low power consumption, it still manages to offer a theoretical performance of 1.024 TFLOPS, making it a reliable option for professionals and gamers alike.
Overall, the AMD Radeon Pro 450 GPU is a solid choice for those in need of a reliable and efficient mobile GPU. It offers a good balance of performance and power efficiency, making it suitable for a wide range of applications. Whether you're a creative professional or a casual gamer, the Radeon Pro 450 is definitely worth considering for your mobile computing needs.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2016
Model Name
Radeon Pro 450
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x8
Memory Specifications
Memory Size
2GB
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.
12.80 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.
32.00 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.
1024 GFLOPS
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.
64.00 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.
1.004
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.
640
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
1.004
TFLOPS
Vulkan
Score
10525
OpenCL
Score
8880
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL