NVIDIA GeForce RTX 3050 8 GB GA107
About GPU
The NVIDIA GeForce RTX 3050 8GB GA107 GPU is a powerhouse of a graphics card that provides excellent performance for gaming and content creation. With a base clock of 1552MHz and a boost clock of 1777MHz, this GPU delivers fast and smooth graphics rendering, allowing for a seamless gaming experience.
The 8GB of GDDR6 memory and a memory clock of 1750MHz ensure that the GPU can handle high-resolution textures and complex rendering tasks with ease. The 2560 shading units and 2MB of L2 cache further enhance the card's ability to handle demanding graphics workloads.
One of the most impressive features of the RTX 3050 is its TDP of 115W, which means that it runs efficiently without consuming too much power. This is important for users who are conscious of their electricity consumption or who want to build a more environmentally friendly system.
In terms of performance, the RTX 3050 offers a theoretical performance of 9.098 TFLOPS, making it capable of handling the latest games and graphics-intensive applications with ease.
Overall, the NVIDIA GeForce RTX 3050 8GB GA107 GPU is a fantastic option for gamers and content creators looking for a high-performance graphics card that offers excellent value for money. Its powerful specs and efficient power consumption make it a top choice for anyone in need of a reliable and capable GPU for their desktop system.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2022
Model Name
GeForce RTX 3050 8 GB GA107
Generation
GeForce 30
Base Clock
1552MHz
Boost Clock
1777MHz
Bus Interface
PCIe 4.0 x8
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
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.
224.0 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.
56.86 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.
142.2 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.
9.098 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.
142.2 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.
8.916
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.
20
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.
2560
L1 Cache
128 KB (per SM)
L2 Cache
2MB
TDP
115W
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
8.916
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS