NVIDIA GeForce RTX 2060 TU104
About GPU
The NVIDIA GeForce RTX 2060 TU104 GPU is a powerful and efficient graphics card designed for desktop platforms. With a base clock of 1365MHz and a boost clock of 1680MHz, this GPU delivers impressive performance for gaming, content creation, and other graphic-intensive tasks.
The 6GB of GDDR6 memory, running at 1750MHz, provides ample memory bandwidth for handling demanding games and applications. Additionally, with 1920 shading units and 3MB of L2 cache, the RTX 2060 TU104 GPU is capable of delivering smooth and immersive visuals, even at high resolutions and detail settings.
One of the standout features of this GPU is its TDP of 160W, which ensures a balance between performance and power efficiency. This makes it an excellent choice for gamers and content creators who prioritize both performance and energy consumption.
The theoretical performance of 6.451 TFLOPS further highlights the capabilities of the RTX 2060 TU104 GPU, allowing it to handle modern games and graphics-intensive workloads with ease.
Overall, the NVIDIA GeForce RTX 2060 TU104 GPU is a solid choice for anyone in need of a high-performance graphics card for their desktop setup. Its combination of powerful hardware, efficient design, and ample memory make it a versatile option for a wide range of applications. Whether you're a gamer, a content creator, or a professional working with graphics-intensive tasks, the RTX 2060 TU104 GPU delivers impressive performance and value.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2020
Model Name
GeForce RTX 2060 TU104
Generation
GeForce 20
Base Clock
1365MHz
Boost Clock
1680MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
6GB
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.
192bit
Memory Clock
1750MHz
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.
336.0 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.
80.64 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.
201.6 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.
12.90 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.
201.6 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.
6.58
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.
30
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.
1920
L1 Cache
64 KB (per SM)
L2 Cache
3MB
TDP
160W
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
6.58
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS