AMD Radeon Instinct MI325X vs AMD Radeon RX 550X Mobile

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon RX 550X Mobile with 2 GB GDDR5 and 640 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon RX 550X Mobile by 8,909.01% 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 550X Mobile

1.1

AMD Radeon RX 550X Mobile

1.1

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon RX 550X Mobile по многим параметрам: имеет гораздо больше ядер, больше памяти и шины, большую пропускную способность и вычислительную мощность. MI325X предназначена для высокопроизводительных вычислений и машинного обучения, тогда как RX 550X Mobile больше подходит для мобильных устройств и легких задач графики.

Contents:

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

Memory

Memory Size

🔥 +14,300% 288 ГБ
2 GB

Memory Type

HBM3e GDDR5

Memory Bandwidth

🔥 10.3 TB/s
48.00 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +43,335% 653.7 TFLOPS
1.505 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +5,330% 81.72 TFLOPS
1.505 TFLOPS

FP64 (Double Precision)

🔥 +86,744% 81.72 TFLOPS
0.0941 TFLOPS

CUDA Cores

🔥 +2,940% 19,456
640

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
1,100

Boost Clock

🔥 +79% 2,100
1,176

Memory Clock

🔥 +68% 2,525
1,500

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -95% 50 W

Rendering

Texture Units (TMU)

🔥 +2,940% 1,216
40

ROP

No No

L2 Cache

🔥 16 MB
512 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 11, 2018

Display Outputs

No outputs
Portable Device Dependent

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