AMD Radeon Instinct MI300X vs AMD Radeon R7 M365X

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R7 M365X with 1,024 GB GDDR5 and 384 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon R7 M365X by 4,628.64% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon R7 M365X

2.0

AMD Radeon R7 M365X

2.0

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит Radeon R7 M365X по многим параметрам: имеет гораздо больше ядер, большую память и шину, более высокую пропускную способность и вычислительную мощность. MI300X подходит для интенсивных вычислений и AI-задач, тогда как R7 M365X устарел и больше подходит для базовых графических задач или обучения настольных систем.

Contents:

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

Memory

Memory Size

🔥 192 ГБ
1,024 MB

Memory Type

HBM3 GDDR5

Memory Bandwidth

🔥 10.3 TB/s
64.00 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +12,798% 81.72 TFLOPS
0.6336 TFLOPS

FP64 (Double Precision)

🔥 +206,264% 81.72 TFLOPS
0.0396 TFLOPS

CUDA Cores

🔥 +4,967% 19,456
384

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

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +152% 2,525
1,000

Power Consumption

Recommended PSU

1150 W No

Power Connector

None No

TDP/TGP

750 W No

Rendering

Texture Units (TMU)

🔥 +4,967% 1,216
24

ROP

No No

L2 Cache

🔥 16 MB
256 KB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module No

Release Date

Dec. 6, 2023 May 5, 2015

Display Outputs

No outputs
No

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