NVIDIA GeForce RTX 2060 SUPER
vs
NVIDIA GeForce GTX 1660 SUPER
vs
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce RTX 2060 SUPER
and
NVIDIA GeForce GTX 1660 SUPER
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 8GB (8GB vs 6GB)
- Higher Bandwidth: 448.0 GB/s (448.0 GB/s vs 336.0 GB/s)
- More Shading Units: 2176 (2176 vs 1408)
- Higher Boost Clock: 1785MHz (1650MHz vs 1785MHz)
- Newer Launch Date: October 2019 (July 2019 vs October 2019)
Basic
NVIDIA
Label Name
NVIDIA
July 2019
Launch Date
October 2019
Desktop
Platform
Desktop
GeForce RTX 2060 SUPER
Model Name
GeForce GTX 1660 SUPER
GeForce 20
Generation
GeForce 16
1470MHz
Base Clock
1530MHz
1650MHz
Boost Clock
1785MHz
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
10,800 million
Transistors
6,600 million
34
RT Cores
-
272
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.
-
136
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.
88
TSMC
Foundry
TSMC
12 nm
Process Size
12 nm
Turing
Architecture
Turing
Memory Specifications
8GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
256bit
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
1750MHz
Memory Clock
1750MHz
448.0 GB/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.
336.0 GB/s
Display and Media
1x DVI
1x HDMI 2.0
2x DisplayPort 1.4a
1x USB Type-C
1x HDMI 2.0
2x DisplayPort 1.4a
1x USB Type-C
Outputs
1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a
1x HDMI 2.0
1x DisplayPort 1.4a
Theoretical Performance
105.6 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.
85.68 GPixel/s
224.4 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.
157.1 GTexel/s
14.36 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.
10.05 TFLOPS
224.4 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.
157.1 GFLOPS
7.037
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.
4.926
TFLOPS
Miscellaneous
34
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.
22
2176
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.
1408
64 KB (per SM)
L1 Cache
64 KB (per SM)
4MB
L2 Cache
1536KB
175W
TDP
125W
1.3
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
7.5
CUDA
7.5
12 Ultimate (12_2)
DirectX
12 (12_1)
1x 8-pin
Power Connectors
1x 8-pin
64
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.
48
6.6
Shader Model
6.6
450W
Suggested PSU
300W
Benchmarks
Shadow of the Tomb Raider 2160p
/ fps
GeForce RTX 2060 SUPER
35
+40%
GeForce GTX 1660 SUPER
25
Shadow of the Tomb Raider 1440p
/ fps
GeForce RTX 2060 SUPER
65
+27%
GeForce GTX 1660 SUPER
51
Shadow of the Tomb Raider 1080p
/ fps
GeForce RTX 2060 SUPER
90
+11%
GeForce GTX 1660 SUPER
81
Battlefield 5 2160p
/ fps
GeForce RTX 2060 SUPER
47
+12%
GeForce GTX 1660 SUPER
42
Battlefield 5 1440p
/ fps
GeForce RTX 2060 SUPER
92
+15%
GeForce GTX 1660 SUPER
80
Battlefield 5 1080p
/ fps
GeForce RTX 2060 SUPER
124
+25%
GeForce GTX 1660 SUPER
99
GTA 5 2160p
/ fps
GeForce RTX 2060 SUPER
62
+5%
GeForce GTX 1660 SUPER
59
GTA 5 1440p
/ fps
GeForce RTX 2060 SUPER
88
+13%
GeForce GTX 1660 SUPER
78
GTA 5 1080p
/ fps
GeForce RTX 2060 SUPER
171
GeForce GTX 1660 SUPER
174
+2%
FP32 (float)
/ TFLOPS
GeForce RTX 2060 SUPER
7.037
+43%
GeForce GTX 1660 SUPER
4.926
3DMark Steel Nomad
GeForce RTX 2060 SUPER
1984
+59%
GeForce GTX 1660 SUPER
1248
3DMark Time Spy
GeForce RTX 2060 SUPER
8478
+39%
GeForce GTX 1660 SUPER
6104
Blender
GeForce RTX 2060 SUPER
2496
+195%
GeForce GTX 1660 SUPER
847
OctaneBench
GeForce RTX 2060 SUPER
229
+86%
GeForce GTX 1660 SUPER
123
Vulkan
GeForce RTX 2060 SUPER
84792
+42%
GeForce GTX 1660 SUPER
59828
OpenCL
GeForce RTX 2060 SUPER
90580
+42%
GeForce GTX 1660 SUPER
63654
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