AMD Radeon Graphics 384SP
About GPU
The AMD Radeon Graphics 384SP GPU is an integrated graphics solution designed for low-power and lightweight computing devices. With a base clock speed of 400MHz and the ability to boost up to 1500MHz, this GPU provides a decent amount of performance for its intended use case.
One of the standout features of this GPU is its 384 shading units, which allow for better visual fidelity and smoother rendering in games and multimedia applications. Additionally, with a TDP of 15W, this GPU is power-efficient, making it an excellent choice for laptops and small form factor PCs.
One potential downside of this GPU is the system-shared memory, which may limit its performance in memory-intensive tasks. However, given its intended use case in lightweight computing devices, this may not be a significant drawback for the target audience.
In terms of theoretical performance, the AMD Radeon Graphics 384SP GPU boasts 1.152 TFLOPS, which is respectable for integrated graphics and should be more than enough for casual gaming and multimedia consumption.
Overall, the AMD Radeon Graphics 384SP GPU is a solid choice for budget-friendly laptops and compact desktops. Its power efficiency, decent performance, and high shading unit count make it a worthwhile option for those in need of a low-power graphics solution. However, for more demanding tasks such as gaming at higher settings or content creation, a dedicated GPU may be a better fit.
Basic
Label Name
AMD
Platform
Integrated
Launch Date
January 2020
Model Name
Radeon Graphics 384SP
Generation
Renoir
Base Clock
400MHz
Boost Clock
1500MHz
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.
12.00 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.
36.00 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.
2.304 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.
72.00 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.
1.175
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.
384
TDP
15W
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
1.175
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS