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NVIDIA GeForce RTX 3060 12 GB GA104

NVIDIA GeForce RTX 3060 12 GB GA104

NVIDIA GeForce RTX 3060 12 GB GA104 is a Desktop video accelerator from NVIDIA. It began to be released in September 2021. The GPU has a boost frequency of 1777MHz. It also has a memory frequency of 1875MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Desktop GPU: 117

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
September 2021
Model Name
GeForce RTX 3060 12 GB GA104
Generation
GeForce 30
Base Clock
1320MHz
Boost Clock
1777MHz
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.
3584
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.
28
Transistors
17,400 million
RT Cores
28
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.
112
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.
112
L1 Cache
128 KB (per SM)
L2 Cache
3MB
Bus Interface
PCIe 4.0 x16
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere
TDP
170W

Memory Specifications

Memory Size
12GB
Memory Type
GDDR6
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
1875MHz
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.
360.0 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.
113.7 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.
199.0 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.
12.74 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.
199.0 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.
12.736 TFlops

Miscellaneous

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
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.
64
Shader Model
6.7
Suggested PSU
450W

FP32 (float)

12.736 TFlops

3DMark Time Spy

8928

Compared to Other GPU

21%
29%
76%
Better then 21% GPU over the past year
Better then 29% GPU over the past 3 years
Better then 76% GPU

SiliconCat Rating

117
Ranks 117 among Desktop GPU on our website
233
Ranks 233 among all GPU on our website
FP32 (float)
Radeon Instinct MI50
AMD, November 2018
13.406 TFlops
GeForce RTX 3060 8 GB GA104
NVIDIA, October 2022
12.994 TFlops
GeForce RTX 3060 12 GB GA104
NVIDIA, September 2021
12.736 TFlops
Quadro P6000
NVIDIA, October 2016
12.376 TFlops
Tesla P40
NVIDIA, September 2016
11.994 TFlops
3DMark Time Spy
RTX A5500
NVIDIA, March 2022
15622
GeForce RTX 4060
NVIDIA, May 2023
10777
GeForce RTX 3060 12 GB GA104
NVIDIA, September 2021
8928
GeForce GTX 1080 Mobile
NVIDIA, August 2016
6845
GeForce GTX 1660 Ti Max Q
NVIDIA, April 2019
4854