AMD Radeon Instinct MI325X vs AMD Radeon Pro 575

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon Pro 575 with 4 GB GDDR5 and 2,048 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon Pro 575 by 2,765.33% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Pro 575

3.5

AMD Radeon Pro 575

3.5

The AMD Radeon Instinct MI325X dramatically outperforms the AMD Radeon Pro 575, leading by 2765% in the overall GPI performance index. For machine learning, the AMD Radeon Instinct MI325X has the edge in FP16 performance (+14462%) and VRAM (288 vs 4 GB). For gaming, the AMD Radeon Instinct MI325X delivers 1720% more FP32 throughput. In performance per watt, the AMD Radeon Instinct MI325X is 173% more efficient at 1000W TDP vs 150W for the AMD Radeon Pro 575.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

🔥 +7,100% 288 ГБ
4 GB

Memory Type

HBM3e GDDR5

Memory Bandwidth

🔥 10.3 TB/s
217.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +14,462% 653.7 TFLOPS
4.489 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,720% 81.72 TFLOPS
4.489 TFLOPS

FP64 (Double Precision)

🔥 +29,023% 81.72 TFLOPS
0.2806 TFLOPS

CUDA Cores

🔥 +850% 19,456
2,048

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 4.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +49% 2,525
1,695

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -85% 150 W

Rendering

Texture Units (TMU)

🔥 +850% 1,216
128

ROP

No No

L2 Cache

🔥 +700% 16 MB
2 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

llama.cpp, llama-2-7b-Q4_0

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module MXM Module

Release Date

Oct. 12, 2024 June 5, 2017

Display Outputs

No outputs
Portable Device Dependent

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