Home GPU Comparison NVIDIA GeForce RTX 2060 Mobile Refresh vs NVIDIA GeForce GTX 1080 Max Q

NVIDIA GeForce RTX 2060 Mobile Refresh vs NVIDIA GeForce GTX 1080 Max Q

We compared two Mobile platform GPUs: 6GB VRAM GeForce RTX 2060 Mobile Refresh and 8GB VRAM GeForce GTX 1080 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 2060 Mobile Refresh 's Advantages
Released 1 years and 7 months late
Boost Clock has increased by 6% (1560MHz vs 1468MHz)
Lower TDP (65W vs 150W)
NVIDIA GeForce GTX 1080 Max Q 's Advantages
More VRAM (8GB vs 6GB)
Larger VRAM bandwidth (320.3GB/s vs 264.0GB/s)
640 additional rendering cores

Score

Benchmark

FP32 (float)
GeForce RTX 2060 Mobile Refresh
5.99 TFLOPS
GeForce GTX 1080 Max Q +25%
7.516 TFLOPS
VS

Graphics Card

Jan 2019
Release Date
Jun 2017
GeForce 20 Mobile
Generation
GeForce 10 Mobile
Mobile
Type
Mobile
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1005 MHz
Base Clock
1290 MHz
1560 MHz
Boost Clock
1468 MHz
1375 MHz
Memory Clock
1251 MHz

Memory

6GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5X
192bit
Memory Bus
256bit
264.0GB/s
Bandwidth
320.3GB/s

Render Config

-
-
-
30
SM Count
20
1920
Shading Units
2560
120
TMUs
160
48
ROPs
64
240
Tensor Cores
-
30
RT Cores
-
64 KB (per SM)
L1 Cache
48 KB (per SM)
3 MB
L2 Cache
2 MB
-
-
-

Theoretical Performance

74.88 GPixel/s
Pixel Rate
93.95 GPixel/s
187.2 GTexel/s
Texture Rate
234.9 GTexel/s
11.98 TFLOPS
FP16 (half)
117.4 GFLOPS
5.990 TFLOPS
FP32 (float)
7.516 TFLOPS
187.2 GFLOPS
FP64 (double)
234.9 GFLOPS

Board Design

65W
TDP
150W
-
-
-
No outputs
Outputs
No outputs
None
Power Connectors
None

Graphics Processor

TU106B
GPU Name
GP104
N18E-G1-KD-A1
GPU Variant
N17E-G3-A1
Turing
Architecture
Pascal
TSMC
Foundry
TSMC
12 nm
Process Size
16 nm
10.8 billion
Transistors
7.2 billion
445 mm²
Die Size
314 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.5
CUDA
6.1
6.6
Shader Model
6.4

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