AMD Radeon Instinct MI325X vs AMD Radeon R7 M465

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon R7 M465 with 2 GB GDDR5 and 384 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon R7 M465 by 13,598.63% 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 R7 M465

0.7

AMD Radeon R7 M465

0.7

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon R7 M465 по всем параметрам. MI325X имеет гораздо больше ядер, большую память и значительно высокую пропускную способность, что делает его идеальным для вычислений и машинного обучения. В то время как R7 M465 более старая модель с ограниченными ресурсами, он подходит для легких задач графики и базового использования.

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
36.00 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +83,026% 653.7 TFLOPS
0.7864 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +10,292% 81.72 TFLOPS
0.7864 TFLOPS

FP64 (Double Precision)

🔥 +166,336% 81.72 TFLOPS
0.0491 TFLOPS

CUDA Cores

🔥 +4,967% 19,456
384

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 3.0

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

🔥 +37% 1,000
730

Boost Clock

🔥 +105% 2,100
1,024

Memory Clock

🔥 +124% 2,525
1,125

Power Consumption

Recommended PSU

1400 W No

Power Connector

None No

TDP/TGP

1000 W No

Rendering

Texture Units (TMU)

🔥 +4,967% 1,216
24

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 No

Release Date

Oct. 12, 2024 May 15, 2016

Display Outputs

No outputs
No

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