NVIDIA GeForce RTX 3060 8 GB GA104

NVIDIA GeForce RTX 3060 8 GB GA104

About GPU

The NVIDIA GeForce RTX 3060 8GB GA104 GPU is a powerful graphics card that offers a great balance of performance and value for desktop gaming and content creation. With a base clock of 1320MHz and a boost clock of 1777MHz, the RTX 3060 delivers smooth and consistent performance in a wide range of modern games and applications. The 8GB of GDDR6 memory and a memory clock of 1875MHz ensure that the GPU has ample memory bandwidth for handling high-resolution textures and complex scenes, making it a great choice for gamers and creative professionals alike. The 3584 shading units and 3MB of L2 cache further contribute to the GPU's rendering capabilities, resulting in crisp and detailed visuals. Despite its impressive performance, the RTX 3060 is also relatively power-efficient, with a TDP of 195W. This means that it can be used in a wide range of desktop systems without requiring an oversized or expensive power supply. With a theoretical performance of 12.74 TFLOPS, the RTX 3060 is well-suited for 1080p and 1440p gaming, as well as entry-level 4K gaming with some settings adjusted. It also excels in content creation tasks such as video editing and 3D rendering. In conclusion, the NVIDIA GeForce RTX 3060 8GB GA104 GPU offers excellent performance, a generous amount of memory, and power efficiency, making it a great choice for gamers and content creators looking for a high-performance yet accessible graphics card.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
October 2022
Model Name
GeForce RTX 3060 8 GB GA104
Generation
GeForce 30
Base Clock
1320MHz
Boost Clock
1777MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
8GB
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.
128bit
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.
240.0 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.
12.995 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.
28
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
L1 Cache
128 KB (per SM)
L2 Cache
3MB
TDP
195W
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
12.995 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
13.044 +0.4%
12.995 +0%
12.946 -0.4%
12.946 -0.4%