Home / NVIDIA / NVIDIA GeForce GTX 1060 6 GB Rev. 2: Performance and Specs

NVIDIA GeForce GTX 1060 6 GB Rev. 2

About GPU

The NVIDIA GeForce GTX 1060 6 GB Rev. 2 GPU is a powerhouse of a graphics card that delivers exceptional performance and efficiency for desktop gaming and multimedia tasks. With a base clock of 1506MHz and a boost clock of 1709MHz, this GPU offers smooth and seamless gaming experiences, even at high graphics settings. The 6GB of GDDR5 memory and a memory clock of 2002MHz ensure that the GTX 1060 can handle demanding textures and resolutions, making it well-suited for modern gaming and content creation. The 1280 shading units and 1536KB of L2 cache further contribute to its ability to handle complex graphical tasks with ease. One of the most impressive aspects of the GTX 1060 6 GB Rev. 2 is its efficiency, with a TDP of just 120W, making it a great choice for those looking to build a powerful yet energy-efficient system. Despite its low power consumption, the theoretical performance of 4.287 TFLOPS ensures that it can tackle even the most demanding games and applications without breaking a sweat. Overall, the NVIDIA GeForce GTX 1060 6 GB Rev. 2 GPU offers an excellent balance of performance, power efficiency, and affordability. Whether you're a casual gamer or a content creator, this graphics card provides a compelling option for those looking to upgrade their desktop setup. With its impressive specifications and proven track record, the GTX 1060 6 GB Rev. 2 is a solid choice for anyone in need of a reliable and capable GPU.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2018

Model Name

GeForce GTX 1060 6 GB Rev. 2

Generation

GeForce 10

Base Clock

1506MHz

Boost Clock

1709MHz

Bus Interface

PCIe 3.0 x16

Memory Specifications

Memory Size

6GB

Memory Type

GDDR5

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

2002MHz

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.

192.2 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.

82.03 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.

136.7 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.

68.36 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.

136.7 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.

4.287 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.

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.

1280

L1 Cache

48 KB (per SM)

L2 Cache

1536KB

TDP

120W

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