Advantages
- Higher Boost Clock: 2572 MHz (2572 MHz vs 1650MHz)
- Larger Memory Size: 16GB (16GB vs 8GB)
- More Shading Units: 4608 (4608 vs 2176)
- Newer Launch Date: March 2025 (March 2025 vs July 2019)
Basic
NVIDIA
Label Name
NVIDIA
March 2025
Launch Date
July 2019
Desktop
Platform
Desktop
GeForce RTX 5060 Ti 16 GB
Model Name
GeForce RTX 2060 SUPER
GeForce 50
Generation
GeForce 20
2407 MHz
Base Clock
1470MHz
2572 MHz
Boost Clock
1650MHz
PCIe 5.0 x16
Bus Interface
PCIe 3.0 x16
Unknown
Transistors
10,800 million
36
RT Cores
34
144
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
272
144
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
136
TSMC
Foundry
TSMC
5 nm
Process Size
12 nm
Blackwell 2.0
Architecture
Turing
Memory Specifications
16GB
Memory Size
8GB
GDDR7
Memory Type
GDDR6
128bit
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
1750 MHz
Memory Clock
1750MHz
448.0GB/s
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
123.5 GPixel/s
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.
105.6 GPixel/s
370.4 GTexel/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.
224.4 GTexel/s
23.70 TFLOPS
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.
14.36 TFLOPS
370.4 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.
224.4 GFLOPS
24.174
TFLOPS
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.
7.037
TFLOPS
Miscellaneous
36
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
4608
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
128 KB (per SM)
L1 Cache
64 KB (per SM)
32 MB
L2 Cache
4MB
180W
TDP
175W
1.4
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
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
10.1
CUDA
7.5
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 8-pin
48
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
6.8
Shader Model
6.6
450 W
Suggested PSU
450W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 5060 Ti 16 GB
24.174
+244%
GeForce RTX 2060 SUPER
7.037
3DMark Steel Nomad
GeForce RTX 5060 Ti 16 GB
3598
+81%
GeForce RTX 2060 SUPER
1984
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