NVIDIA GeForce RTX 3050 Max-Q Refresh
About GPU
The NVIDIA GeForce RTX 3050 Max-Q Refresh GPU is a highly capable and efficient mobile graphics processing unit that offers an excellent combination of performance and power efficiency. With a base clock speed of 622MHz and a boost clock speed of 990MHz, this GPU provides smooth and responsive gaming and graphic-intensive tasks. The 6GB of GDDR6 memory with a memory clock of 1500MHz ensures quick access to textures and assets, resulting in a seamless visual experience.
With 2048 shading units and 2MB of L2 cache, the RTX 3050 Max-Q Refresh GPU delivers impressive image quality and rendering capabilities. The 75W TDP (Thermal Design Power) ensures that the GPU operates within a reasonable power consumption range, making it ideal for use in thin and light laptops without sacrificing performance.
The Theoretical Performance of 4.055 TFLOPS showcases the GPU's ability to handle modern games and creative workloads with ease. Whether it's gaming, photo and video editing, or 3D rendering, the RTX 3050 Max-Q Refresh GPU delivers a smooth and efficient experience.
Overall, the NVIDIA GeForce RTX 3050 Max-Q Refresh GPU is a solid choice for users looking for a reliable and efficient mobile graphics solution. It strikes a good balance between performance and power efficiency, making it a great option for laptops aimed at both gaming and creative professionals.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
July 2022
Model Name
GeForce RTX 3050 Max-Q Refresh
Generation
GeForce 30 Mobile
Base Clock
622MHz
Boost Clock
990MHz
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
1500MHz
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.
144.0 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.
31.68 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.
63.36 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.
4.055 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.
63.36 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.
4.136
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.
16
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.
2048
L1 Cache
128 KB (per SM)
L2 Cache
2MB
TDP
75W
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
4.136
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS