AMD Radeon Instinct MI325X vs AMD Radeon RX 470 Mobile

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon RX 470 Mobile with 8 GB GDDR5 and 2,048 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon RX 470 Mobile by 2,497.4% 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 470 Mobile

3.9

AMD Radeon RX 470 Mobile

3.9

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon RX 470 Mobile по многим параметрам. MI325X имеет гораздо больше ядер и памяти, более высокую пропускную способность и значительно большую производительность в FP32. Она предназначена для вычислительных задач и AI, в то время как RX 470 Mobile лучше подходит для игр и базовых вычислений.

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
224.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +14,760% 653.7 TFLOPS
4.399 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,758% 81.72 TFLOPS
4.399 TFLOPS

FP64 (Double Precision)

🔥 +29,627% 81.72 TFLOPS
0.2749 TFLOPS

CUDA Cores

🔥 +850% 19,456
2,048

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

🔥 +8% 1,000
926

Boost Clock

🔥 +96% 2,100
1,074

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -92% 85 W

Rendering

Texture Units (TMU)

🔥 +850% 1,216
128

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 Aug. 4, 2016

Display Outputs

No outputs
Portable Device Dependent

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