AMD ROG Ally GPU
About GPU
The AMD ROG Ally GPU is a powerful and efficient GPU designed for game consoles. With a base clock of 1500MHz and a boost clock of 2500MHz, this GPU offers fast and smooth performance, making it a great choice for gaming enthusiasts. The 16GB of LPDDR5 memory and a memory clock of 1600MHz ensure that the GPU can handle even the most demanding games and applications with ease.
With 256 shading units and 6MB of L2 cache, the AMD ROG Ally GPU delivers impressive graphics capabilities, producing stunning visuals and immersive gaming experiences. Additionally, the low TDP of 30W makes it an energy-efficient option, helping to reduce power consumption and heat generation.
With a theoretical performance of 2.56 TFLOPS, the AMD ROG Ally GPU offers impressive performance for gaming and other graphics-intensive tasks. Whether you're a casual gamer or a professional content creator, this GPU is well-equipped to meet your needs.
Overall, the AMD ROG Ally GPU is a solid choice for anyone in need of a high-performance GPU for their game console. Its impressive specifications, efficient power usage, and stellar performance make it a top contender in the GPU market. Whether you're building a new gaming rig or looking to upgrade your current system, the AMD ROG Ally GPU is definitely worth considering.
Basic
Label Name
AMD
Platform
Game console
Launch Date
January 2023
Model Name
ROG Ally GPU
Generation
Console GPU
Base Clock
1500MHz
Boost Clock
2500MHz
Memory Specifications
Memory Size
16GB
Memory Type
LPDDR5
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.
64bit
Memory Clock
1600MHz
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.
51.20 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.
20.00 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.
40.00 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.
5.120 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.
160.0 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.
2.509
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.
256
L1 Cache
128 KB per Array
L2 Cache
6MB
TDP
30W
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
2.509
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS