AMD FirePro M4150 vs AMD Radeon Instinct MI325X

Comparison AMD FirePro M4150 with 1,024 GB GDDR5 and 384 cores vs AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD FirePro M4150 by 5,334.78% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD FirePro M4150

1.8

AMD FirePro M4150

1.8
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0

Expert Comparison

AMD FirePro M4150 старая модель с архитектурой GCN 1.0 и 384 ядрами, подходящая для базовых задач визуализации и 2D графики. AMD Radeon Instinct MI325X — современная модель с архитектурой CDNA 3.0, 19456 ядрами и 288 ГБ HBM3e памяти, идеально подходящая для вычислительной мощности и задач искусственного интеллекта. MI325X значительно превосходит M4150 по всем параметрам, особенно по пропускной способности и количеству ядер.

Contents:

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

Memory

Memory Size

1,024 MB
🔥 288 ГБ

Memory Type

GDDR5 HBM3e

Memory Bandwidth

64.00 GB/s
🔥 10.3 TB/s

Memory Bus Width

128 бит 8,192 бит

ML Performance

FP16 (Half Precision)

No
🔥 653.7 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

0.5491 TFLOPS
🔥 +14,783% 81.72 TFLOPS

FP64 (Double Precision)

0.0343 TFLOPS
🔥 +238,151% 81.72 TFLOPS

CUDA Cores

384
🔥 +4,967% 19,456

RT Cores

No No

Architecture & Compatibility

GPU Architecture

GCN 1.0 CDNA 3.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 3.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

No
🔥 1,000

Boost Clock

No
🔥 2,100

Memory Clock

1,000
🔥 +152% 2,525

Power Consumption

Recommended PSU

No 1400 W

Power Connector

No None

TDP/TGP

unknown 1000 W

Rendering

Texture Units (TMU)

24
🔥 +4,967% 1,216

ROP

No No

L2 Cache

256 KB
🔥 16 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

MXM Module OAM Module

Release Date

Oct. 16, 2013 Oct. 12, 2024

Display Outputs

Portable Device Dependent
No outputs

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