NVIDIA GeForce RTX 3050 Max-Q Refresh 4 GB
About GPU
The NVIDIA GeForce RTX 3050 Max-Q Refresh 4GB GPU is an impressive addition to NVIDIA's lineup of mobile GPUs. With a base clock of 757MHz and a boost clock of 1125MHz, this GPU offers excellent performance for both gaming and creative tasks on laptops. The 4GB of GDDR6 memory and a memory clock of 1375MHz ensure smooth and lag-free performance, even when handling demanding applications and games.
With 2048 shading units and 2MB of L2 cache, the RTX 3050 Max-Q Refresh delivers high-quality graphics and smooth frame rates. With a TDP of 35W, this GPU strikes a good balance between performance and power efficiency, making it suitable for thin and light laptops.
The theoretical performance of 4.608 TFLOPS underscores the capabilities of this GPU, and it certainly lives up to expectations in real-world usage. Whether you're playing the latest games or working on graphics-intensive tasks such as video editing or 3D rendering, the RTX 3050 Max-Q Refresh handles everything with ease.
Overall, the NVIDIA GeForce RTX 3050 Max-Q Refresh 4GB GPU is a fantastic choice for anyone in the market for a high-performance mobile GPU. Its combination of power efficiency, impressive performance, and ample memory makes it a compelling option for gaming and creative professionals alike.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
July 2022
Model Name
GeForce RTX 3050 Max-Q Refresh 4 GB
Generation
GeForce 30 Mobile
Base Clock
757MHz
Boost Clock
1125MHz
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
1375MHz
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.
176.0 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.
36.00 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.
72.00 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.
4.608 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.
72.00 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.
4.7
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
35W
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
4.7
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS