Home GPU Comparison NVIDIA GeForce RTX 2070 Max Q vs NVIDIA RTX 500 Mobile Ada Generation

NVIDIA GeForce RTX 2070 Max Q vs NVIDIA RTX 500 Mobile Ada Generation

We compared two Mobile platform GPUs: 8GB VRAM GeForce RTX 2070 Max Q and 4GB VRAM RTX 500 Mobile Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 2070 Max Q 's Advantages
More VRAM (8GB vs 4GB)
Larger VRAM bandwidth (384.0GB/s vs 128.0GB/s)
256 additional rendering cores
NVIDIA RTX 500 Mobile Ada Generation 's Advantages
Released 5 years and 1 months late
Boost Clock has increased by 71% (2025MHz vs 1185MHz)
Lower TDP (35W vs 90W)

Score

Benchmark

FP32 (float)
GeForce RTX 2070 Max Q
5.46 TFLOPS
RTX 500 Mobile Ada Generation +51%
8.294 TFLOPS
VS

Graphics Card

Jan 2019
Release Date
Feb 2024
GeForce 20 Mobile
Generation
Quadro Ada-M
Mobile
Type
Mobile
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8

Clock Speeds

885 MHz
Base Clock
1485 MHz
1185 MHz
Boost Clock
2025 MHz
1500 MHz
Memory Clock
2000 MHz

Memory

8GB
Memory Size
4GB
GDDR6
Memory Type
GDDR6
256bit
Memory Bus
64bit
384.0GB/s
Bandwidth
128.0GB/s

Render Config

-
-
-
36
SM Count
16
2304
Shading Units
2048
144
TMUs
64
64
ROPs
32
288
Tensor Cores
64
36
RT Cores
16
64 KB (per SM)
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
12 MB
-
-
-

Theoretical Performance

75.84 GPixel/s
Pixel Rate
64.80 GPixel/s
170.6 GTexel/s
Texture Rate
129.6 GTexel/s
10.92 TFLOPS
FP16 (half)
8.294 TFLOPS
5.460 TFLOPS
FP32 (float)
8.294 TFLOPS
170.6 GFLOPS
FP64 (double)
129.6 GFLOPS

Board Design

90W
TDP
35W
-
-
-
No outputs
Outputs
Portable Device Dependent
None
Power Connectors
None

Graphics Processor

TU106
GPU Name
AD107
N18E-G2-A1
GPU Variant
-
Turing
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
10.8 billion
Transistors
18.9 billion
445 mm²
Die Size
159 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
7.5
CUDA
8.9
6.6
Shader Model
6.7

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