NVIDIA GeForce RTX 5080
About GPU
The NVIDIA GeForce RTX 5080 is a powerhouse GPU designed for desktop gaming and professional applications. With a base clock of 2235 MHz and a boost clock of 2520 MHz, this GPU offers impressive speed and performance. The 16GB of GDDR7 memory and memory clock of 2500 MHz ensure smooth and responsive gameplay, as well as efficient handling of memory-intensive tasks.
One of the most impressive features of the RTX 5080 is its 10752 shading units, which allow for stunning visual effects and lifelike graphics. The 64MB L2 cache further enhances performance by reducing latency and improving data transfer speeds. With a TDP of 350W, this GPU is power-hungry, but the theoretical performance of 53.106 TFLOPS more than justifies the power consumption.
In real-world usage, the RTX 5080 excels in handling demanding games at high resolutions and frame rates. It also shines in professional applications such as 3D rendering and video editing, thanks to its immense computing power and VRAM capacity. The GPU's ray tracing capabilities and AI-enhanced features further enhance the visual fidelity and responsiveness of supported games and software.
Overall, the NVIDIA GeForce RTX 5080 is a top-of-the-line GPU that delivers exceptional performance for gamers and professionals alike. Its impressive specifications and innovative features make it a worthy investment for anyone in need of uncompromising performance.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2025
Model Name
GeForce RTX 5080
Generation
GeForce 50
Base Clock
2235 MHz
Boost Clock
2520 MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
GDDR7
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
2500 MHz
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.
160.0GB/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.
322.6 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.
846.7 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.
54.19 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.
846.7 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.
53.106
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.
84
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.
10752
L1 Cache
128 KB (per SM)
L2 Cache
64 MB
TDP
350W
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
53.106
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS