AMD Radeon Instinct MI325X vs AMD Radeon R5 A230

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon R5 A230 with 4 GB DDR3 and 320 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon R5 A230 by 17,443.86% 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 R5 A230

0.6

AMD Radeon R5 A230

0.6

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon R5 A230 по многим параметрам. MI325X имеет гораздо больше ядер (19456 против 320), больше памяти (288 ГБ HBM3e против 4 ГБ DDR3), большую пропускную способность (10.3 ТБ/с против 16 ГБ/с) и более высокую производительность в FP32 (81.72 ТФЛОПС против 0.5472 ТФЛОПС). MI325X предназначена для вычислений и AI-задач, тогда как R5 A230 устарел и больше подходит для базовых графических задач.

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 DDR3

Memory Bandwidth

🔥 10.3 TB/s
16.00 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +14,834% 81.72 TFLOPS
0.5472 TFLOPS

FP64 (Double Precision)

🔥 +238,847% 81.72 TFLOPS
0.0342 TFLOPS

CUDA Cores

🔥 +5,980% 19,456
320

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 1.0

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

🔥 +28% 1,000
780

Boost Clock

🔥 +146% 2,100
855

Memory Clock

🔥 +152% 2,525
1,000

Power Consumption

Recommended PSU

1400 W No

Power Connector

None No

TDP/TGP

1000 W unknown

Rendering

Texture Units (TMU)

🔥 +5,980% 1,216
20

ROP

No No

L2 Cache

🔥 16 MB
128 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 Jan. 7, 2014

Display Outputs

No outputs
Portable Device Dependent

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