Home GPU Comparison Intel Data Center GPU Max Subsystem vs NVIDIA Quadro P5200 Max Q

Intel Data Center GPU Max Subsystem vs NVIDIA Quadro P5200 Max Q

We compared two Professional market GPUs: 128GB VRAM Data Center GPU Max Subsystem and 16GB VRAM Quadro P5200 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Max Subsystem 's Advantages
Released 4 years and 11 months late
Boost Clock has increased by 2% (1600MHz vs 1569MHz)
More VRAM (128GB vs 16GB)
Larger VRAM bandwidth (3205GB/s vs 230.9GB/s)
13824 additional rendering cores
NVIDIA Quadro P5200 Max Q 's Advantages
Lower TDP (100W vs 2400W)

Score

Benchmark

FP32 (float)
Data Center GPU Max Subsystem +552%
52.43 TFLOPS
Quadro P5200 Max Q
8.033 TFLOPS
VS

Graphics Card

Jan 2023
Release Date
Feb 2018
Data Center GPU
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 5.0 x16
Bus Interface
MXM-B (3.0)

Clock Speeds

900 MHz
Base Clock
1316 MHz
1600 MHz
Boost Clock
1569 MHz
1565 MHz
Memory Clock
1804 MHz

Memory

128GB
Memory Size
16GB
HBM2e
Memory Type
GDDR5
8192bit
Memory Bus
256bit
3205GB/s
Bandwidth
230.9GB/s

Render Config

-
SM Count
20
-
Compute Units
-
16384
Shading Units
2560
1024
TMUs
160
0
ROPs
64
1024
Tensor Cores
-
128
RT Cores
-
64 KB (per EU)
L1 Cache
48 KB (per SM)
408 MB
L2 Cache
2 MB

Theoretical Performance

0 MPixel/s
Pixel Rate
100.4 GPixel/s
1638 GTexel/s
Texture Rate
251.0 GTexel/s
52.43 TFLOPS
FP16 (half)
125.5 GFLOPS
52.43 TFLOPS
FP32 (float)
8.033 TFLOPS
52.43 TFLOPS
FP64 (double)
251.0 GFLOPS

Graphics Processor

Ponte Vecchio
GPU Name
GP104
-
GPU Variant
-
Generation 12.5
Architecture
Pascal
Intel
Foundry
TSMC
10 nm
Process Size
16 nm
100 billion
Transistors
7.2 billion
1280 mm²
Die Size
314 mm²

Board Design

2400W
TDP
100W
2800 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 16-pin
Power Connectors
None

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
N/A
Vulkan
1.3
-
CUDA
6.1
6.6
Shader Model
6.4

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