NVIDIA GeForce GTX 1080 Max Q
The NVIDIA GeForce GTX 1080 Max-Q is a high-performance mobile GPU that offers impressive power and efficiency. With a base clock of 1290MHz and a boost clock of 1468MHz, this GPU delivers strong performance for gaming, content creation, and other demanding tasks. The 8GB of GDDR5X memory and 2560 shading units provide ample power for handling intense graphical workloads and running modern games at high settings.
One of the standout features of the GTX 1080 Max-Q is its power efficiency. With a TDP of 150W, this GPU is optimized for use in thin and light laptops without sacrificing performance. This makes it a great option for gamers and creative professionals who need powerful graphics in a portable package.
In terms of real-world performance, the GTX 1080 Max-Q lives up to its impressive specifications. It handles modern games with ease, delivering smooth framerates at high resolutions and graphical settings. Content creators will also appreciate the GPU's performance for tasks such as video editing, 3D rendering, and graphic design.
Overall, the NVIDIA GeForce GTX 1080 Max-Q is a top-of-the-line mobile GPU that offers exceptional performance and efficiency. It's well-suited for high-end gaming laptops and professional-grade portable workstations, making it a great choice for users who need uncompromising graphics performance on the go.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
June 2017
Model Name
GeForce GTX 1080 Max Q
Generation
GeForce 10 Mobile
Base Clock
1290MHz
Boost Clock
1468MHz
Bus Interface
PCIe 3.0 x16
Transistors
7,200 million
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.
160
Foundry
TSMC
Process Size
16 nm
Architecture
Pascal
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5X
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
1251MHz
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.
320.3 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.
93.95 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.
234.9 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.
117.4 GFLOPS
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.
234.9 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.
7.366
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
48 KB (per SM)
L2 Cache
2MB
TDP
150W
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 (12_1)
CUDA
6.1
Power Connectors
None
Shader Model
6.4
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
7.366
TFLOPS
OctaneBench
Score
10
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench