NVIDIA GeForce RTX 4080 Max-Q
About GPU
The NVIDIA GeForce RTX 4080 Max-Q GPU is a high-performance mobile graphics card with impressive specs that cater to both gaming and professional use. With a base clock of 795MHz and a boost clock of 1350MHz, this GPU offers fast and smooth performance, making it ideal for demanding gaming titles and complex creative software.
The 12GB of GDDR6 memory and a memory clock of 1750MHz ensure that users can effortlessly run graphics-heavy applications without experiencing any lags or slowdowns. The 7424 shading units and 48MB of L2 cache further enhance the GPU's ability to handle intensive workloads with ease.
Despite its powerful performance, the RTX 4080 Max-Q is designed to be energy-efficient, boasting a TDP of 60W. This means that users can enjoy top-tier graphics performance without worrying about excessive power consumption or overheating issues.
The theoretical performance of 20.04 TFLOPS demonstrates the GPU's capability to deliver exceptional graphics rendering and overall computing power. Whether users are engaged in gaming, 3D rendering, video editing, or other GPU-intensive tasks, the RTX 4080 Max-Q can meet their performance expectations.
Overall, the NVIDIA GeForce RTX 4080 Max-Q GPU is a standout option for those in need of a high-performance mobile graphics solution. Its combination of speed, power efficiency, and memory capacity make it an excellent choice for gamers and professionals alike.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2023
Model Name
GeForce RTX 4080 Max-Q
Generation
GeForce 40 Mobile
Base Clock
795MHz
Boost Clock
1350MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
12GB
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.
192bit
Memory Clock
1750MHz
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.
336.0 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.
108.0 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.
313.2 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.
20.04 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.
313.2 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.
20.441
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.
58
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.
7424
L1 Cache
128 KB (per SM)
L2 Cache
48MB
TDP
60W
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
20.441
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS