Home GPU Comparison NVIDIA RTX 5880 Ada Generation vs NVIDIA GeForce RTX 4070 SUPER

NVIDIA RTX 5880 Ada Generation vs NVIDIA GeForce RTX 4070 SUPER

We compared two Desktop platform GPUs: 48GB VRAM RTX 5880 Ada Generation and 12GB VRAM GeForce RTX 4070 SUPER to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 5880 Ada Generation 's Advantages
More VRAM (48GB vs 12GB)
Larger VRAM bandwidth (864.0GB/s vs 504.2GB/s)
6912 additional rendering cores
NVIDIA GeForce RTX 4070 SUPER 's Advantages
Boost Clock has increased by 1% (2475MHz vs 2460MHz)
Lower TDP (220W vs 285W)

Score

Benchmark

FP32 (float)
RTX 5880 Ada Generation +95%
69.27 TFLOPS
GeForce RTX 4070 SUPER
35.48 TFLOPS
VS

Graphics Card

Jan 2024
Release Date
Jan 2024
Quadro Ada
Generation
GeForce 40
Desktop
Type
Desktop
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

975 MHz
Base Clock
1980 MHz
2460 MHz
Boost Clock
2475 MHz
2250 MHz
Memory Clock
1313 MHz

Memory

48GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6X
384bit
Memory Bus
192bit
864.0GB/s
Bandwidth
504.2GB/s

Render Config

110
SM Count
56
-
Compute Units
-
14080
Shading Units
7168
440
TMUs
224
176
ROPs
80
440
Tensor Cores
224
110
RT Cores
56
128 KB (per SM)
L1 Cache
128 KB (per SM)
72 MB
L2 Cache
48 MB

Theoretical Performance

433.0 GPixel/s
Pixel Rate
198.0 GPixel/s
1082 GTexel/s
Texture Rate
554.4 GTexel/s
69.27 TFLOPS
FP16 (half)
35.48 TFLOPS
69.27 TFLOPS
FP32 (float)
35.48 TFLOPS
1082 GFLOPS
FP64 (double)
554.4 GFLOPS

Graphics Processor

AD102
GPU Name
AD104
AD102
GPU Variant
AD104-350-A1
Ada Lovelace
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
76.3 billion
Transistors
35.8 billion
609 mm²
Die Size
294 mm²

Board Design

285W
TDP
220W
600 W
Suggested PSU
550 W
4x DisplayPort 1.4a
Outputs
1x HDMI 2.1 3x DisplayPort 1.4a
1x 16-pin
Power Connectors
1x 16-pin

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
8.9
6.7
Shader Model
6.7

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