AMD Steam Deck GPU
About GPU
The AMD Steam Deck GPU is a highly impressive piece of hardware that offers a solid gaming experience in a portable package. With a base clock of 1000MHz and a boost clock of 1600MHz, the GPU provides smooth and consistent performance for a wide range of games. The 16GB of LPDDR5 memory and a memory clock of 1375MHz ensure that games run smoothly and efficiently, even when handling large amounts of data.
The Steam Deck GPU's 512 shading units and 1024KB L2 cache contribute to its impressive performance, allowing for high-quality graphics and smooth frame rates. Additionally, the low TDP of 15W means that the GPU is energy efficient, making it suitable for portable gaming.
With a theoretical performance of 1.638 TFLOPS, the AMD Steam Deck GPU is capable of handling modern games with ease, offering a level of performance that rivals many dedicated gaming laptops and desktops. This makes it a compelling option for gamers looking for a portable gaming solution without compromising on performance.
Overall, the AMD Steam Deck GPU is a powerhouse of a GPU that offers impressive performance in a portable form factor. Whether you're gaming on the go or at home, the GPU delivers a smooth and immersive gaming experience, making it an excellent choice for gamers looking for a versatile and powerful gaming solution.
Basic
Label Name
AMD
Platform
Game console
Launch Date
February 2022
Model Name
Steam Deck GPU
Generation
Console GPU
Base Clock
1000MHz
Boost Clock
1600MHz
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.
128bit
Memory Clock
1375MHz
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.
88.00 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.
25.60 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.
51.20 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.
3.277 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.
102.4 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.
1.671
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.
512
L1 Cache
128 KB per Array
L2 Cache
1024KB
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
2.0
Benchmarks
FP32 (float)
Score
1.671
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS