AMD ROG Ally Extreme GPU
About GPU
The AMD ROG Ally Extreme GPU is a powerhouse of a graphics card that is an excellent choice for gaming and other graphic-intensive tasks. With a base clock of 1500MHz and a boost clock of 2700MHz, this GPU provides smooth and fast performance, making it ideal for high-resolution gaming and demanding applications.
One of the standout features of the AMD ROG Ally Extreme GPU is its impressive 16GB of LPDDR5 memory. This ample memory size, coupled with a memory clock of 1600MHz, allows for seamless multitasking and the handling of large, complex graphics with ease. The 8MB of L2 cache further enhances the GPU's performance by providing fast access to frequently used data.
In terms of power efficiency, the AMD ROG Ally Extreme GPU excels with a low TDP of 30W. This means that the GPU operates with minimal power consumption, resulting in less heat generation and lower energy costs.
In terms of performance, the AMD ROG Ally Extreme GPU delivers exceptional results, with a theoretical performance of 8.294 TFLOPS and a 3DMark Time Spy score of 2796. These numbers demonstrate that the GPU is more than capable of handling even the most demanding gaming and graphics tasks with ease.
Overall, the AMD ROG Ally Extreme GPU is a high-performance graphics card that offers impressive power efficiency and exceptional performance. Whether you're a hardcore gamer or a professional in need of a reliable graphics solution, this GPU is definitely worth considering.
Basic
Label Name
AMD
Platform
Game console
Launch Date
June 2023
Model Name
ROG Ally Extreme GPU
Generation
Console GPU
Base Clock
1500MHz
Boost Clock
2700MHz
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.
86.40 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.
129.6 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.
16.59 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.
518.4 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.
8.46
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.
768
L1 Cache
128 KB per Array
L2 Cache
8MB
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
8.46
TFLOPS
3DMark Time Spy
Score
2852
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy