NVIDIA GeForce GTX 1080 11Gbps
About GPU
The NVIDIA GeForce GTX 1080 11Gbps is a high-performance GPU that is well-suited for gaming and other intensive graphic applications. With a base clock speed of 1607MHz and a boost clock of 1733MHz, this GPU delivers smooth and fast gameplay with stunning visuals. The 8GB of GDDR5X memory and a memory clock of 1376MHz ensure that even the most demanding games and applications run seamlessly.
This GPU boasts 2560 shading units and 2MB of L2 cache, providing excellent rendering and image quality. With a TDP of 180W, the GTX 1080 strikes a good balance between power consumption and performance, making it an efficient choice for gaming rigs.
The theoretical performance of 8.873 TFLOPS ensures that this GPU can handle even the most demanding gaming and graphic tasks without breaking a sweat. Whether you are playing the latest AAA titles or working on complex 3D designs, the GTX 1080 delivers outstanding performance.
Overall, the NVIDIA GeForce GTX 1080 11Gbps is a solid choice for gamers and graphic professionals who want top-notch performance and reliability. Its impressive specifications and performance make it a great option for anyone looking to build a high-end gaming rig or workstation. With its powerful features and efficient design, the GTX 1080 is a GPU that delivers on both performance and value.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2017
Model Name
GeForce GTX 1080 11Gbps
Generation
GeForce 10
Base Clock
1607MHz
Boost Clock
1733MHz
Bus Interface
PCIe 3.0 x16
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
1376MHz
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.
352.3 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.
110.9 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.
277.3 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.
138.6 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.
277.3 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.
8.696
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
180W
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
8.696
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS