NVIDIA GeForce RTX 4080 Ti

NVIDIA GeForce RTX 4080 Ti

About GPU

The NVIDIA GeForce RTX 4080 Ti GPU is a powerhouse of a graphics card, delivering top-of-the-line performance for desktop users. With a base clock of 2100MHz and a boost clock of 2400MHz, this GPU offers blistering speeds for even the most demanding tasks. The 20GB of GDDR6X memory and a memory clock of 1325MHz ensure that users will have more than enough memory and bandwidth to handle high-resolution gaming, content creation, and complex simulations. The RTX 4080 Ti boasts an impressive 14080 shading units and 80MB of L2 cache, providing the necessary muscle for real-time ray tracing and AI-driven features. With a TDP of 400W, this GPU is power-hungry, but its performance more than justifies the power consumption. The theoretical performance of 67.58 TFLOPS further solidifies the RTX 4080 Ti as one of the most powerful GPUs on the market. In real-world usage, the RTX 4080 Ti excels at 4K gaming, delivering incredibly smooth frame rates and stunning visuals. Content creators will also appreciate the GPU's ability to handle 8K video editing and complex 3D rendering tasks with ease. The addition of AI-driven features further enhances the overall computing experience. While the RTX 4080 Ti comes with a premium price tag, its unparalleled performance and future-proof features make it a worthy investment for enthusiasts and professionals who demand the best. Overall, the NVIDIA GeForce RTX 4080 Ti GPU sets a new standard for desktop graphics performance, making it an excellent choice for anyone in need of uncompromising power and capabilities.

Basic

Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4080 Ti
Generation
GeForce 40
Base Clock
2100MHz
Boost Clock
2400MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
20GB
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.
320bit
Memory Clock
1325MHz
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.
848.0 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.
345.6 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.
1056 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.
67.58 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.
1056 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.
66.228 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.
110
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.
14080
L1 Cache
128 KB (per SM)
L2 Cache
80MB
TDP
400W
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
66.228 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
68.248 +3.1%
68.248 +3.1%
63.322 -4.4%