AMD Radeon Graphics 448SP Mobile
About GPU
The AMD Radeon Graphics 448SP Mobile GPU is a powerful integrated graphics solution that offers impressive performance for both gaming and productivity tasks. With a base clock of 300MHz and a boost clock of 1800MHz, this GPU is capable of delivering smooth and responsive visuals in a wide range of applications.
One of the standout features of the Radeon 448SP is its 448 shading units, which enable it to handle complex rendering tasks with ease. This makes it well-suited for demanding games and content creation workloads. Additionally, the GPU has a TDP of 45W, making it efficient enough for use in thin and light laptops without sacrificing performance.
In terms of memory, the Radeon 448SP utilizes system shared memory, which allows it to dynamically allocate resources based on the needs of the application. This flexibility ensures that the GPU can make the most of the available memory, providing ample bandwidth for high-resolution textures and complex shaders.
With a theoretical performance of 1.613 TFLOPS, the Radeon 448SP is capable of delivering fluid frame rates and stunning visuals in modern games. Its powerful rendering capabilities also make it an excellent choice for content creation tasks such as video editing and 3D rendering.
Overall, the AMD Radeon Graphics 448SP Mobile GPU is a compelling option for anyone in need of a high-performance integrated graphics solution. Its impressive performance, efficient power consumption, and flexible memory allocation make it a standout choice for gaming laptops and content creation devices.
Basic
Label Name
AMD
Platform
Integrated
Launch Date
January 2022
Model Name
Radeon Graphics 448SP Mobile
Generation
Vega II IGP
Base Clock
300MHz
Boost Clock
1800MHz
Bus Interface
IGP
Memory Specifications
Memory Size
System Shared
Memory Type
System Shared
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.
System Shared
Memory Clock
SystemShared
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.
System Dependent
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.
14.40 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.
50.40 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.
3.226 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.
100.8 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.
1.581
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.
448
TDP
45W
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
2.1
Benchmarks
FP32 (float)
Score
1.581
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS