NVIDIA GeForce RTX 3050 Ti Max-Q
About GPU
The NVIDIA GeForce RTX 3050 Ti Max-Q GPU is a powerful graphics card specifically designed for the mobile platform. With a base clock of 735MHz and a boost clock of 1035MHz, this GPU offers impressive performance for gaming and content creation on laptops.
One of the standout features of this GPU is its 4GB of GDDR6 memory, which allows for smooth and seamless multitasking and gaming experiences. The memory clock speed of 1375MHz further enhances the overall performance, ensuring that the GPU can handle even the most demanding tasks with ease.
With 2560 shading units and 2MB of L2 cache, the RTX 3050 Ti Max-Q is capable of delivering stunning visual effects and realistic graphics. The TDP of 75W strikes a good balance between performance and power efficiency, making it an ideal choice for gaming laptops.
In terms of raw performance, the RTX 3050 Ti Max-Q boasts a theoretical performance of 5.299 TFLOPS, making it suitable for running the latest games at high settings and tackling graphic-intensive tasks such as video editing and 3D rendering.
Overall, the NVIDIA GeForce RTX 3050 Ti Max-Q GPU delivers an exceptional gaming and content creation experience for laptop users. Its combination of high clock speeds, generous memory, and impressive shading units make it a worthy choice for anyone in need of a powerful mobile graphics solution.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
May 2021
Model Name
GeForce RTX 3050 Ti Max-Q
Generation
GeForce 30 Mobile
Base Clock
735MHz
Boost Clock
1035MHz
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.
33.12 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.
82.80 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.
5.299 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.
82.80 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.
5.405
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
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
5.405
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS