Home GPU Comparison ATI Radeon HD 5870 Eyefinity 6 vs NVIDIA RTX 5000 Ada Generation

ATI Radeon HD 5870 Eyefinity 6 vs NVIDIA RTX 5000 Ada Generation

We compared two Desktop platform GPUs: 2GB VRAM Radeon HD 5870 Eyefinity 6 and 32GB VRAM RTX 5000 Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

ATI Radeon HD 5870 Eyefinity 6 's Advantages
Lower TDP (228W vs 250W)
NVIDIA RTX 5000 Ada Generation 's Advantages
Released 13 years and 5 months late
Boost Clock2550MHz
More VRAM (32GB vs 2GB)
Larger VRAM bandwidth (576.0GB/s vs 153.6GB/s)
11200 additional rendering cores

Score

Benchmark

FP32 (float)
Radeon HD 5870 Eyefinity 6
2.72 TFLOPS
RTX 5000 Ada Generation +2300%
65.28 TFLOPS
VS

Graphics Card

Mar 2010
Release Date
Aug 2023
Evergreen
Generation
Quadro Ada
Desktop
Type
Desktop
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1155 MHz
-
Boost Clock
2550 MHz
1200 MHz
Memory Clock
2250 MHz

Memory

2GB
Memory Size
32GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
256bit
153.6GB/s
Bandwidth
576.0GB/s

Render Config

-
SM Count
100
20
Compute Units
-
1600
Shading Units
12800
80
TMUs
400
32
ROPs
176
-
Tensor Cores
400
-
RT Cores
100
8 KB (per CU)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
72 MB

Theoretical Performance

27.20 GPixel/s
Pixel Rate
448.8 GPixel/s
68.00 GTexel/s
Texture Rate
1020 GTexel/s
-
FP16 (half)
65.28 TFLOPS
2.720 TFLOPS
FP32 (float)
65.28 TFLOPS
544.0 GFLOPS
FP64 (double)
1020 GFLOPS

Graphics Processor

Cypress
GPU Name
AD102
Cypress XT (215-0735033)
GPU Variant
AD102
TeraScale 2
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
40 nm
Process Size
5 nm
2.154 billion
Transistors
76.3 billion
334 mm²
Die Size
609 mm²

Board Design

228W
TDP
250W
550 W
Suggested PSU
600 W
6x mini-DisplayPort 1.1
Outputs
4x DisplayPort 1.4a
1x 6-pin + 1x 8-pin
Power Connectors
1x 16-pin

Graphics Features

11.2 (11_0)
DirectX
12 Ultimate (12_2)
4.4
OpenGL
4.6
1.2
OpenCL
3.0
N/A
Vulkan
1.3
-
CUDA
8.9
5.0
Shader Model
6.7

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