NVIDIA GeForce RTX 3080 Ti 20 GB
About GPU
The NVIDIA GeForce RTX 3080 Ti 20 GB is an absolute powerhouse when it comes to gaming and content creation. With a base clock of 1335MHz and a boost clock of 1665MHz, this GPU delivers exceptional performance and is capable of running even the most demanding games and applications with ease.
One of the most impressive features of the RTX 3080 Ti is its 20GB of GDDR6X memory, which provides ample space for high-resolution textures and complex scenes. Coupled with a memory clock of 1188MHz, this GPU is able to handle multitasking and resource-heavy workloads without breaking a sweat.
With 10240 shading units and 6MB of L2 cache, the RTX 3080 Ti delivers incredibly smooth and detailed graphics, making it an ideal choice for gamers and content creators alike. Additionally, the 350W TDP ensures that the GPU is able to maintain high performance levels without throttling under heavy load.
In terms of raw power, the RTX 3080 Ti boasts a theoretical performance of 34.1 TFLOPS, making it one of the fastest GPUs on the market. Whether you're playing the latest AAA titles or working on 3D rendering and video editing, this GPU is more than capable of handling anything you throw at it.
Overall, the NVIDIA GeForce RTX 3080 Ti 20 GB is a top-of-the-line GPU that delivers exceptional performance and is a worthy investment for anyone in need of a high-powered graphics card. It's a great choice for gamers and content creators who demand the best performance and quality from their hardware.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2022
Model Name
GeForce RTX 3080 Ti 20 GB
Generation
GeForce 30
Base Clock
1335MHz
Boost Clock
1665MHz
Bus Interface
PCIe 4.0 x16
Transistors
28,300 million
RT Cores
80
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.
320
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.
320
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere
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
1188MHz
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.
760.3 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.
186.5 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.
532.8 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.
34.10 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.
532.8 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.
33.418
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
6MB
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
8.6
Power Connectors
1x 12-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.
112
Suggested PSU
750W
Benchmarks
FP32 (float)
Score
33.418
TFLOPS
Blender
Score
5944
OctaneBench
Score
629
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench