NVIDIA GeForce RTX 2060 SUPER Mobile
About GPU
The NVIDIA GeForce RTX 2060 SUPER Mobile GPU is a powerful and high-performing graphics card designed for laptops and mobile devices. With a base clock of 1470MHz and a boost clock of 1530MHz, this GPU offers impressive speed and efficiency for a mobile platform. The 8GB of GDDR6 memory and memory clock of 1750MHz ensure smooth and seamless performance, even when running demanding tasks and applications.
One of the standout features of the RTX 2060 SUPER Mobile GPU is its 2176 shading units, which contribute to its exceptional performance and ability to handle intense graphics rendering and gaming. Additionally, the 4MB of L2 cache and a TDP of 175W further enhance the GPU's capabilities and allow for consistent and reliable performance.
The Theoretical Performance of 6.659 TFLOPS demonstrates the GPU's ability to deliver fast and efficient processing power, making it suitable for high-resolution gaming, content creation, and professional applications.
Overall, the NVIDIA GeForce RTX 2060 SUPER Mobile GPU is a top-tier graphics card for mobile devices, offering exceptional speed, efficiency, and performance. Whether you're a gamer, content creator, or professional user, this GPU delivers the power and reliability needed to handle even the most demanding tasks and applications. If you're in the market for a high-performance mobile graphics card, the RTX 2060 SUPER is certainly worth considering.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
July 2019
Model Name
GeForce RTX 2060 SUPER Mobile
Generation
GeForce 20 Mobile
Base Clock
1470MHz
Boost Clock
1530MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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.
256bit
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.
448.0 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.
97.92 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.
208.1 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.
13.32 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.
208.1 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.
6.526
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.
34
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.
2176
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
175W
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
6.526
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS