NVIDIA GeForce RTX 3050 A Mobile
About GPU
The NVIDIA GeForce RTX 3050 A Mobile GPU is an impressive addition to the RTX series, offering powerful performance and advanced features in a mobile platform. With a base clock of 1065 MHz and a boost clock of 1343 MHz, this GPU delivers fast and smooth gameplay, making it a great choice for gaming on the go.
One of the standout features of the RTX 3050 A Mobile GPU is its 4GB of GDDR6 memory, which provides quick and efficient performance for gaming and multitasking. With a memory clock of 1500 MHz and 1792 shading units, this GPU is capable of handling the demands of modern games and applications with ease.
In addition to its impressive performance specs, the RTX 3050 A Mobile GPU also boasts a 2MB L2 cache and a TDP of 45W, making it an energy-efficient option for gaming laptops. This combination of power and efficiency makes it an attractive option for gamers who want high-quality graphics without sacrificing battery life.
Overall, the NVIDIA GeForce RTX 3050 A Mobile GPU offers excellent performance and features for gaming on a laptop. With its fast clock speeds, ample memory, and energy-efficient design, it's a great choice for gamers who want to take their favorite titles on the go. Whether you're playing the latest AAA titles or tackling creative projects, the RTX 3050 A Mobile GPU delivers the performance you need.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2024
Model Name
GeForce RTX 3050 A Mobile
Generation
GeForce 30 Mobile
Base Clock
1065 MHz
Boost Clock
1343 MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
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
1500 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.
192.0GB/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.
42.98 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.
75.21 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.
4.813 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.
75.21 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.
4.909
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.
14
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.
1792
L1 Cache
128 KB (per SM)
L2 Cache
2 MB
TDP
45W
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
4.909
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS