NVIDIA GeForce RTX 4050 Max-Q
About GPU
The NVIDIA GeForce RTX 4050 Max-Q GPU is a powerful and efficient mobile graphics solution that offers impressive performance for gaming, content creation, and other demanding tasks. With a base clock speed of 1140MHz and a boost clock speed of 1605MHz, this GPU delivers smooth and responsive gameplay, as well as fast rendering and editing capabilities for creative professionals.
With 6GB of GDDR6 memory and a memory clock speed of 2000MHz, the RTX 4050 Max-Q is capable of handling high-resolution textures and complex scenes with ease. The 2560 shading units and 12MB of L2 cache ensure that the GPU can efficiently process graphics-intensive workloads, resulting in stunning visuals and fast frame rates.
One of the standout features of the RTX 4050 Max-Q is its energy efficiency, with a TDP of just 35W. This allows for longer battery life in mobile devices and reduces heat output, making it a great option for thin and light laptops.
With a theoretical performance of 8.218 TFLOPS, the RTX 4050 Max-Q can handle the latest games and professional applications with ease, providing a smooth and immersive experience for users. Overall, the NVIDIA GeForce RTX 4050 Max-Q GPU is a high-performance and power-efficient graphics solution that is well-suited for a wide range of mobile computing needs.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2023
Model Name
GeForce RTX 4050 Max-Q
Generation
GeForce 40 Mobile
Base Clock
1140MHz
Boost Clock
1605MHz
Bus Interface
PCIe 4.0 x16
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
2000MHz
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.
192.0 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.
77.04 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.
128.4 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.
8.218 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.
128.4 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.
8.054
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
12MB
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
8.054
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS