NVIDIA GeForce GTX 1060 8 GB GDDR5X
About GPU
The NVIDIA GeForce GTX 1060 8GB GDDR5X GPU is a powerful and reliable graphics card suitable for desktop use. With a base clock speed of 1506MHz and a boost clock speed of 1709MHz, this GPU is capable of delivering smooth and immersive gaming experiences. The 8GB of GDDR5X memory provides ample space for high-resolution textures and allows for seamless multitasking.
The 1280 shading units and 2MB of L2 cache contribute to the GPU's impressive performance, while the 120W TDP ensures that it operates efficiently without consuming too much power. The theoretical performance of 4.375 TFLOPS indicates that this GPU is more than capable of handling demanding games and applications.
In real-world usage, the GTX 1060 8GB GDDR5X excels in providing high frame rates and stunning visuals. It is suitable for both 1080p and 1440p gaming, offering a balance of performance and affordability. Furthermore, the GPU's efficient cooling design ensures that it remains stable under heavy loads, making it a reliable option for long gaming sessions or demanding creative tasks.
Overall, the NVIDIA GeForce GTX 1060 8GB GDDR5X GPU is a solid choice for gamers and content creators looking for a capable and budget-friendly graphics card. Its combination of performance, memory size, and power efficiency makes it a compelling option for anyone in need of a reliable desktop GPU.
Basic
Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce GTX 1060 8 GB GDDR5X
Generation
GeForce 10
Base Clock
1506MHz
Boost Clock
1709MHz
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
1001MHz
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.
256.3 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.
109.4 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.
10
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
2MB
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
Benchmarks
FP32 (float)
Score
4.287
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS