Home GPU Comparison NVIDIA RTX 5000 Max-Q Ada Generation vs AMD Radeon RX 570 Mobile

NVIDIA RTX 5000 Max-Q Ada Generation vs AMD Radeon RX 570 Mobile

We compared two Mobile platform GPUs: 16GB VRAM RTX 5000 Max Q Ada Generation and 8GB VRAM Radeon RX 570 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 5000 Max-Q Ada Generation 's Advantages
Released 5 years and 3 months late
Boost Clock has increased by 39% (1680MHz vs 1206MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (576.0GB/s vs 211.2GB/s)
7680 additional rendering cores
AMD Radeon RX 570 Mobile 's Advantages
Lower TDP (85W vs 120W)

Score

Benchmark

FP32 (float)
RTX 5000 Max Q Ada Generation +561%
32.69 TFLOPS
Radeon RX 570 Mobile
4.94 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Dec 2017
Quadro Ada-M
Generation
Mobility Radeon
Mobile
Type
Mobile
PCIe 4.0 x16
Bus Interface
MXM-B (3.0)

Clock Speeds

930 MHz
Base Clock
926 MHz
1680 MHz
Boost Clock
1206 MHz
2250 MHz
Memory Clock
1650 MHz

Memory

16GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
256bit
Memory Bus
256bit
576.0GB/s
Bandwidth
211.2GB/s

Render Config

76
SM Count
-
-
Compute Units
32
9728
Shading Units
2048
304
TMUs
128
112
ROPs
32
304
Tensor Cores
-
76
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per CU)
64 MB
L2 Cache
2 MB

Theoretical Performance

188.2 GPixel/s
Pixel Rate
38.59 GPixel/s
510.7 GTexel/s
Texture Rate
154.4 GTexel/s
32.69 TFLOPS
FP16 (half)
4.940 TFLOPS
32.69 TFLOPS
FP32 (float)
4.940 TFLOPS
510.7 GFLOPS
FP64 (double)
308.7 GFLOPS

Graphics Processor

AD103
GPU Name
Ellesmere
-
GPU Variant
Ellesmere PRO
Ada Lovelace
Architecture
GCN 4.0
TSMC
Foundry
GlobalFoundries
5 nm
Process Size
14 nm
45.9 billion
Transistors
5.7 billion
379 mm²
Die Size
232 mm²

Board Design

120W
TDP
85W
-
Suggested PSU
-
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
None

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_0)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.3
Vulkan
1.2
8.9
CUDA
-
6.7
Shader Model
6.4

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