NVIDIA GeForce RTX 4080 12 GB

NVIDIA GeForce RTX 4080 12 GB

About GPU

The NVIDIA GeForce RTX 4080 12 GB GPU is an absolute powerhouse when it comes to gaming and graphic-intensive tasks. With a base clock of 2310MHz and a boost clock of 2610MHz, this GPU offers incredibly fast and smooth performance, allowing for seamless gameplay and lightning-fast rendering times. One of the standout features of the RTX 4080 is its 12GB of GDDR6X memory, which provides ample room for high-resolution textures and other demanding assets. The memory clock of 1313MHz ensures that data can be accessed and processed quickly, further improving overall performance. With 7680 shading units and 48MB of L2 cache, the RTX 4080 is capable of handling even the most complex and detailed scenes with ease. The TDP of 285W may be on the higher end, but it is a small price to pay for the immense power and capabilities of this GPU. In terms of actual performance, the RTX 4080 is capable of delivering a theoretical 40.09 TFLOPS, making it one of the most powerful GPUs on the market. Whether you are a professional graphic designer, a hardcore gamer, or a 3D artist, the RTX 4080 has the performance and capabilities to meet your needs. Overall, the NVIDIA GeForce RTX 4080 12 GB GPU is a top-of-the-line graphics card that delivers exceptional performance, making it an ideal choice for anyone in need of a high-end GPU for their desktop system. While it may come with a high price tag, the performance and capabilities more than justify the investment.

Basic

Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4080 12 GB
Generation
GeForce 40
Base Clock
2310MHz
Boost Clock
2610MHz
Bus Interface
PCIe 4.0 x16
Transistors
35,800 million
RT Cores
60
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
240
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
240
Foundry
TSMC
Process Size
4 nm
Architecture
Ada Lovelace

Memory Specifications

Memory Size
12GB
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.
192bit
Memory Clock
1313MHz
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.
504.2 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.
208.8 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.
626.4 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.
40.09 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.
626.4 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.
39.288 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.
60
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.
7680
L1 Cache
128 KB (per SM)
L2 Cache
48MB
TDP
285W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
8.9
Power Connectors
1x 16-pin
Shader Model
6.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
80
Suggested PSU
600W

Benchmarks

FP32 (float)
Score
39.288 TFLOPS
3DMark Time Spy
Score
28395
Blender
Score
9369
OctaneBench
Score
914

Compared to Other GPU

FP32 (float) / TFLOPS
49.715 +26.5%
44.355 +12.9%
35.404 -9.9%
31.615 -19.5%
3DMark Time Spy
36233 +27.6%
9097 -68%
Blender
12832 +37%
1222 -87%
521 -94.4%
203 -97.8%
OctaneBench
1328 +45.3%
163 -82.2%
89 -90.3%
47 -94.9%