AMD AeroBox GPU
About GPU
The AMD AeroBox GPU is a game console GPU that offers solid performance and impressive specs for the price. With a base clock of 935MHz and a boost clock of 985MHz, this GPU delivers smooth and seamless gameplay with high frame rates. The 8GB of DDR3 memory and memory clock of 1066MHz ensure that you have plenty of memory to handle modern gaming demands.
With 896 shading units, the AMD AeroBox GPU is able to handle complex graphics and visual effects without sacrificing performance. Additionally, the TDP of 100W ensures that the GPU runs efficiently and doesn't consume too much power while in use.
The theoretical performance of 1.765 TFLOPS means that the AMD AeroBox GPU is more than capable of handling the latest AAA titles with ease, providing a great gaming experience.
One of the standout features of the AMD AeroBox GPU is its affordability. Despite its impressive specs and performance, this GPU is priced competitively, making it a great option for gamers on a budget.
Overall, the AMD AeroBox GPU is a solid choice for those looking for a reliable and affordable gaming console GPU. With its impressive specs and performance, it offers a great gaming experience without breaking the bank. If you're in the market for a new GPU for your gaming console, the AMD AeroBox is definitely worth considering.
Basic
Label Name
AMD
Platform
Game console
Launch Date
March 2020
Model Name
AeroBox GPU
Generation
Console GPU
Base Clock
935MHz
Boost Clock
985MHz
Memory Specifications
Memory Size
8GB
Memory Type
DDR3
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.
256bit
Memory Clock
1066MHz
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.
68.22 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.
15.76 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.
55.16 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.
3.530 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.
110.3 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.
1.8
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
TDP
100W
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
1.2
Benchmarks
FP32 (float)
Score
1.8
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS