NVIDIA GeForce RTX 2080 SUPER Max Q
The NVIDIA GeForce RTX 2080 SUPER Max-Q GPU is a powerful and efficient graphics processing unit designed specifically for mobile platforms. With a base clock speed of 735MHz and a boost clock speed of 975MHz, this GPU delivers impressive performance and smooth gameplay, making it an ideal choice for high-end gaming laptops.
The 8GB of GDDR6 memory and a memory clock speed of 1375MHz ensure speedy and lag-free operation, even when handling demanding gaming and graphics tasks. Additionally, with 3072 shading units and 4MB of L2 cache, the GPU is capable of handling complex rendering and multitasking with ease.
Despite its high performance, the RTX 2080 SUPER Max-Q is also remarkably energy-efficient, with a TDP of 80W. This means that it doesn't drain the battery life of the laptop too quickly, making it suitable for portable use.
With a theoretical performance of 5.99 TFLOPS and a 3DMark Time Spy score of 8519, this GPU offers impressive benchmark results, showcasing its ability to handle modern gaming and professional applications with ease.
Overall, the NVIDIA GeForce RTX 2080 SUPER Max-Q GPU is a top-of-the-line mobile graphics solution that offers excellent performance, efficient power usage, and a range of features that make it suitable for demanding gaming and professional tasks. It's an ideal choice for users looking for the best graphics performance in a portable package.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
April 2020
Model Name
GeForce RTX 2080 SUPER Max Q
Generation
GeForce 20 Mobile
Base Clock
735MHz
Boost Clock
975MHz
Bus Interface
PCIe 3.0 x16
Transistors
13,600 million
RT Cores
48
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
384
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
192
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
8GB
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.
256bit
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.
352.0 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.
62.40 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.
187.2 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.
11.98 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.
187.2 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.
6.11
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.
48
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.
3072
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
80W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
7.5
Power Connectors
None
Shader Model
6.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Benchmarks
FP32 (float)
Score
6.11
TFLOPS
3DMark Time Spy
Score
8689
Blender
Score
2127
OctaneBench
Score
202
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
OctaneBench