AMD Radeon Instinct MI325X vs AMD Radeon Pro 560

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon Pro 560 with 4 GB GDDR5 and 1,024 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon Pro 560 by 5,960.61% 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 560

1.7

AMD Radeon Pro 560

1.7

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит Radeon Pro 560 по всем параметрам: имеет больше ядер, больше памяти, более высокую пропускную способность и большую мощность вычислений. MI325X предназначена для высокопроизводительных вычислений, в то время как Pro 560 более подходящ для офисных задач или базового моделирования.

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
81.28 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +35,083% 653.7 TFLOPS
1.858 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +4,298% 81.72 TFLOPS
1.858 TFLOPS

FP64 (Double Precision)

🔥 +70,288% 81.72 TFLOPS
0.1161 TFLOPS

CUDA Cores

🔥 +1,800% 19,456
1,024

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 x8

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +99% 2,525
1,270

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -92% 75 W

Rendering

Texture Units (TMU)

🔥 +1,800% 1,216
64

ROP

No No

L2 Cache

🔥 16 MB
1024 KB

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 IGP

Release Date

Oct. 12, 2024 April 18, 2017

Display Outputs

No outputs
Portable Device Dependent

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