AMD Radeon Instinct MI325X vs AMD Radeon RX 580X Mobile

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon RX 580X Mobile with 8 GB GDDR5 and 2,304 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon RX 580X Mobile by 2,064.5% 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 RX 580X Mobile

4.6

AMD Radeon RX 580X Mobile

4.6

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon RX 580X Mobile по многим параметрам: количество ядер (19456 против 2304), объем памяти (288 ГБ HBM3e против 8 ГБ GDDR5), пропускную способность (10.3 ТБ/с против 256 ГБ/с) и общую производительность (GPI 100.0 против 4.6). MI325X предназначена для вычислительных задач и больших данных, тогда как RX 580X Mobile более подходящ для мобильного использования и игр.

Contents:

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

Memory

Memory Size

🔥 +3,500% 288 ГБ
8 GB

Memory Type

HBM3e GDDR5

Memory Bandwidth

🔥 10.3 TB/s
256.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +11,105% 653.7 TFLOPS
5.834 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,301% 81.72 TFLOPS
5.834 TFLOPS

FP64 (Double Precision)

🔥 +22,314% 81.72 TFLOPS
0.3646 TFLOPS

CUDA Cores

🔥 +744% 19,456
2,304

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 MXM-B (3.0)

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

🔥 +26% 2,525
2,000

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -90% 100 W

Rendering

Texture Units (TMU)

🔥 +744% 1,216
144

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 April 11, 2018

Display Outputs

No outputs
Portable Device Dependent

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