NVIDIA GeForce RTX 2070 SUPER
vs
NVIDIA GeForce GTX 1660
vs
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce RTX 2070 SUPER
and
NVIDIA GeForce GTX 1660
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 192.1 GB/s)
- More Shading Units: 2560 (2560 vs 1408)
- Newer Launch Date: July 2019 (July 2019 vs March 2019)
- Higher Boost Clock: 1785MHz (1770MHz vs 1785MHz)
Basic
NVIDIA
Label Name
NVIDIA
July 2019
Launch Date
March 2019
Desktop
Platform
Desktop
GeForce RTX 2070 SUPER
Model Name
GeForce GTX 1660
GeForce 20
Generation
GeForce 16
1605MHz
Base Clock
1530MHz
1770MHz
Boost Clock
1785MHz
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
13,600 million
Transistors
6,600 million
40
RT Cores
-
320
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.
-
160
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
GDDR5
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
2001MHz
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.
192.1 GB/s
Display and Media
1x HDMI 2.0
3x DisplayPort 1.4a
1x USB Type-C
3x 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
113.3 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
283.2 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
18.12 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
283.2 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
9.243
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.
5.128
TFLOPS
Miscellaneous
40
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
2560
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
215W
TDP
120W
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 6-pin + 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
550W
Suggested PSU
300W
Benchmarks
Shadow of the Tomb Raider 2160p
/ fps
GeForce RTX 2070 SUPER
41
+71%
GeForce GTX 1660
24
Shadow of the Tomb Raider 1440p
/ fps
GeForce RTX 2070 SUPER
78
+63%
GeForce GTX 1660
48
Shadow of the Tomb Raider 1080p
/ fps
GeForce RTX 2070 SUPER
116
+61%
GeForce GTX 1660
72
Battlefield 5 2160p
/ fps
GeForce RTX 2070 SUPER
57
+46%
GeForce GTX 1660
39
Battlefield 5 1440p
/ fps
GeForce RTX 2070 SUPER
99
+34%
GeForce GTX 1660
74
Battlefield 5 1080p
/ fps
GeForce RTX 2070 SUPER
136
+46%
GeForce GTX 1660
93
GTA 5 2160p
/ fps
GeForce RTX 2070 SUPER
69
+41%
GeForce GTX 1660
49
GTA 5 1440p
/ fps
GeForce RTX 2070 SUPER
94
+77%
GeForce GTX 1660
53
GTA 5 1080p
/ fps
GeForce RTX 2070 SUPER
184
+20%
GeForce GTX 1660
153
FP32 (float)
/ TFLOPS
GeForce RTX 2070 SUPER
9.243
+80%
GeForce GTX 1660
5.128
3DMark Steel Nomad
GeForce RTX 2070 SUPER
2384
+128%
GeForce GTX 1660
1047
3DMark Time Spy
GeForce RTX 2070 SUPER
10331
+87%
GeForce GTX 1660
5521
Blender
GeForce RTX 2070 SUPER
2220.56
+180%
GeForce GTX 1660
794
Vulkan
GeForce RTX 2070 SUPER
94845
+72%
GeForce GTX 1660
55223
OpenCL
GeForce RTX 2070 SUPER
103572
+74%
GeForce GTX 1660
59526
Related GPU Comparisons
Share in social media
Or Link To Us
<a href="https://cputronic.com/gpu/compare/nvidia-geforce-rtx-2070-super-vs-nvidia-geforce-gtx-1660" target="_blank">NVIDIA GeForce RTX 2070 SUPER vs NVIDIA GeForce GTX 1660</a>