Home / NVIDIA / NVIDIA GeForce RTX 3050 6 GB: Performance and Specs

NVIDIA GeForce RTX 3050 6 GB

About GPU

The NVIDIA GeForce RTX 3050 6 GB is an impressive mid-range GPU that offers solid performance for 1080p gaming and content creation. With a base clock of 1042MHz and a boost clock of 1470MHz, this graphics card delivers smooth and consistent frame rates in most modern games. The 6GB of GDDR6 memory and a memory clock of 1750MHz ensures that it can handle high-resolution textures and complex scenes without any issues. With 2304 shading units and 2MB of L2 cache, the RTX 3050 provides excellent rendering capabilities for both gaming and professional applications. The TDP of 70W makes it an efficient choice for smaller form factor builds or systems with limited power supply capacity. Despite its lower power consumption, the RTX 3050 still manages to deliver a theoretical performance of 6.909 TFLOPS, which is more than sufficient for smooth gaming and content creation experiences. Overall, the NVIDIA GeForce RTX 3050 6 GB is a great choice for budget-conscious gamers and creators who want to experience modern titles and applications at 1080p resolution without breaking the bank. Its efficient power usage, solid performance, and support for features like ray tracing and DLSS make it a compelling option for those looking to upgrade their current setup without spending a fortune.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

February 2024

Model Name

GeForce RTX 3050 6 GB

Generation

GeForce 30

Base Clock

1042MHz

Boost Clock

1470MHz

Bus Interface

PCIe 4.0 x8

Memory Specifications

Memory Size

6GB

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.

96bit

Memory Clock

1750MHz

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.

168.0 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.

47.04 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.

105.8 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.

6.774 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.

105.8 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.

6.909 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.

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.

2304

L1 Cache

128 KB (per SM)

L2 Cache

2MB

TDP

70W

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