NVIDIA GeForce RTX 5050
About GPU
The NVIDIA GeForce RTX 5050 is a powerful GPU designed for desktop use, offering impressive performance and a comprehensive feature set. With a base clock speed of 2235 MHz and a boost clock speed of 2520 MHz, this GPU is capable of handling even the most demanding graphics-intensive tasks with ease. The 8GB of GDDR6 memory and memory clock speed of 1750 MHz ensure smooth and seamless multitasking, making it suitable for both gaming and professional applications.
The RTX 5050 is equipped with 2560 shading units and a 32 MB L2 cache, allowing for high-quality, detailed visuals and efficient processing of complex graphics. With a TDP of 100W, this GPU strikes a good balance between performance and power efficiency, making it suitable for a wide range of desktop systems.
One of the standout features of the RTX 5050 is its impressive theoretical performance of 12.642 TFLOPS, ensuring that it can handle the latest games and professional software with ease. The GPU also supports ray tracing and other advanced rendering techniques, delivering stunning visuals and lifelike lighting effects.
Overall, the NVIDIA GeForce RTX 5050 is a top-tier GPU that offers exceptional performance, advanced features, and efficient power consumption. Whether you're a gamer, content creator, or professional user, this GPU has the capabilities to meet your needs and elevate your computing experience to new heights.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2025
Model Name
GeForce RTX 5050
Generation
GeForce 50
Base Clock
2235 MHz
Boost Clock
2520 MHz
Bus Interface
PCIe 5.0 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
1750 MHz
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.
224.0GB/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.
80.64 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.
201.6 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.
12.90 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.
201.6 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.
12.642
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
32 MB
TDP
100W
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
12.642
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS