Home GPU Comparison NVIDIA RTX 3000 Mobile Ada Generation vs NVIDIA GeForce RTX 2060 Mobile

NVIDIA RTX 3000 Mobile Ada Generation vs NVIDIA GeForce RTX 2060 Mobile

We compared two Mobile platform GPUs: 8GB VRAM RTX 3000 Mobile Ada Generation and 6GB VRAM GeForce RTX 2060 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 3000 Mobile Ada Generation 's Advantages
Released 4 years and 2 months late
Boost Clock has increased by 41% (1695MHz vs 1200MHz)
More VRAM (8GB vs 6GB)
2688 additional rendering cores
NVIDIA GeForce RTX 2060 Mobile 's Advantages
Larger VRAM bandwidth (336.0GB/s vs 256.0GB/s)

Score

Benchmark

FP32 (float)
RTX 3000 Mobile Ada Generation +238%
15.62 TFLOPS
GeForce RTX 2060 Mobile
4.608 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Jan 2019
Quadro Ada-M
Generation
GeForce 20 Mobile
Mobile
Type
Mobile
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1395 MHz
Base Clock
960 MHz
1695 MHz
Boost Clock
1200 MHz
2000 MHz
Memory Clock
1750 MHz

Memory

8GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
192bit
256.0GB/s
Bandwidth
336.0GB/s

Render Config

-
-
-
36
SM Count
30
4608
Shading Units
1920
144
TMUs
120
48
ROPs
48
144
Tensor Cores
240
36
RT Cores
30
128 KB (per SM)
L1 Cache
64 KB (per SM)
32 MB
L2 Cache
3 MB
-
-
-

Theoretical Performance

81.36 GPixel/s
Pixel Rate
57.60 GPixel/s
244.1 GTexel/s
Texture Rate
144.0 GTexel/s
15.62 TFLOPS
FP16 (half)
9.216 TFLOPS
15.62 TFLOPS
FP32 (float)
4.608 TFLOPS
244.1 GFLOPS
FP64 (double)
144.0 GFLOPS

Board Design

115W
TDP
115W
-
-
-
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
None

Graphics Processor

AD106
GPU Name
TU106
-
GPU Variant
N18E-G1-KD-A1
Ada Lovelace
Architecture
Turing
TSMC
Foundry
TSMC
5 nm
Process Size
12 nm
22.9 billion
Transistors
10.8 billion
188 mm²
Die Size
445 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.9
CUDA
7.5
6.7
Shader Model
6.6

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