Home GPU Comparison NVIDIA GeForce RTX 4080 Mobile vs NVIDIA GeForce MX230

NVIDIA GeForce RTX 4080 Mobile vs NVIDIA GeForce MX230

We compared two Mobile platform GPUs: 12GB VRAM GeForce RTX 4080 Mobile and 2GB VRAM GeForce MX230 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 4080 Mobile 's Advantages
Released 3 years and 11 months late
Boost Clock has increased by 9% (1665MHz vs 1531MHz)
More VRAM (12GB vs 2GB)
Larger VRAM bandwidth (432.0GB/s vs 48.06GB/s)
7168 additional rendering cores
NVIDIA GeForce MX230 's Advantages
Lower TDP (10W vs 110W)

Score

Benchmark

FP32 (float)
GeForce RTX 4080 Mobile +3053%
24.72 TFLOPS
GeForce MX230
0.784 TFLOPS
OctaneBench
GeForce RTX 4080 Mobile +4300%
572
GeForce MX230
13
VS

Graphics Card

Jan 2023
Release Date
Feb 2019
GeForce 40 Mobile
Generation
GeForce MX
Mobile
Type
Mobile
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x4

Clock Speeds

1290 MHz
Base Clock
1519 MHz
1665 MHz
Boost Clock
1531 MHz
2250 MHz
Memory Clock
1502 MHz

Memory

12GB
Memory Size
2GB
GDDR6
Memory Type
GDDR5
192bit
Memory Bus
64bit
432.0GB/s
Bandwidth
48.06GB/s

Render Config

58
SM Count
2
-
Compute Units
-
7424
Shading Units
256
232
TMUs
16
80
ROPs
16
232
Tensor Cores
-
58
RT Cores
-
128 KB (per SM)
L1 Cache
48 KB (per SM)
48 MB
L2 Cache
512 KB

Theoretical Performance

133.2 GPixel/s
Pixel Rate
24.50 GPixel/s
386.3 GTexel/s
Texture Rate
24.50 GTexel/s
24.72 TFLOPS
FP16 (half)
12.25 GFLOPS
24.72 TFLOPS
FP32 (float)
783.9 GFLOPS
386.3 GFLOPS
FP64 (double)
24.50 GFLOPS

Graphics Processor

AD104
GPU Name
GP108
GN21-X9
GPU Variant
N17S-G0-A1
Ada Lovelace
Architecture
Pascal
TSMC
Foundry
Samsung
4 nm
Process Size
14 nm
35.8 billion
Transistors
1.8 billion
295 mm²
Die Size
74 mm²

Board Design

110W
TDP
10W
-
Suggested PSU
-
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
None

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
8.9
CUDA
6.1
6.7
Shader Model
6.4

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