NVIDIA GeForce RTX 4080 SUPER
About GPU
The NVIDIA GeForce RTX 4080 SUPER GPU is a powerhouse, offering desktop users an exceptional level of performance and graphical capabilities. With a base clock of 2205MHz and a boost clock of 2505MHz, this GPU is well-equipped to handle even the most demanding of tasks. The 16GB of GDDR6X memory and a memory clock of 1400MHz ensure smooth and efficient operation, even when handling large and complex datasets.
One of the most impressive features of the RTX 4080 SUPER is its 10240 shading units, providing an incredible level of detail and realism in graphics. Additionally, the 64MB of L2 cache helps to further enhance the GPU's processing capabilities, resulting in fluid and responsive performance.
In terms of power consumption, the RTX 4080 SUPER has a TDP of 340W, which is on the higher side, but considering the level of performance it offers, it is understandable.
With a theoretical performance of 51.3 TFLOPS, the RTX 4080 SUPER is more than capable of handling high-end gaming, content creation, and professional applications with ease.
Overall, the NVIDIA GeForce RTX 4080 SUPER GPU is a top-of-the-line option for those in need of uncompromising performance and graphical capabilities. While it may be on the pricier end of the spectrum, its impressive specs and exceptional performance make it a worthy investment for serious gamers and professionals alike.
Basic
Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4080 SUPER
Generation
GeForce 40
Base Clock
2205MHz
Boost Clock
2505MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
GDDR6X
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
1400MHz
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.
716.8 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.
280.6 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.
801.6 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.
51.30 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.
801.6 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.
52.326
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
80
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.
10240
L1 Cache
128 KB (per SM)
L2 Cache
64MB
TDP
340W
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
3.0
Benchmarks
FP32 (float)
Score
52.326
TFLOPS
Vulkan
Score
219989
OpenCL
Score
254268
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL