AMD Radeon Instinct MI325X vs Intel Arc A350M

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs Intel Arc A350M with 4 GB GDDR6 and 768 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms Intel Arc A350M by 4,285.96% 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

Intel Arc A350M

2.3

Intel Arc A350M

2.3

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит Intel Arc A350M в вычислительной мощности и памяти. MI325X с 19456 ядрами и 288 ГБ HBM3e идеально подходит для больших вычислений и AI-задач, в то время как Arc A350M с 768 ядрами и 4 ГБ GDDR6 более пригоден для легких задач и портативных систем. MI325X также имеет гораздо большую TDP и пропускную способность.

Contents:

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

Memory

Memory Size

🔥 +7,100% 288 ГБ
4 GB

Memory Type

HBM3e GDDR6

Memory Bandwidth

🔥 10.3 TB/s
112.0 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +9,573% 653.7 TFLOPS
6.758 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +2,318% 81.72 TFLOPS
3.379 TFLOPS

FP64 (Double Precision)

🔥 +9,573% 81.72 TFLOPS
0.8448 TFLOPS

CUDA Cores

🔥 +2,433% 19,456
768

RT Cores

No
🔥 6

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Xe-HPG

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

1,000
🔥 +15% 1,150

Boost Clock

2,100
🔥 +5% 2,200

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

Recommended PSU

1400 W No

Power Connector

None No

TDP/TGP

1000 W
🔥 -98% 25 W

Rendering

Texture Units (TMU)

🔥 +2,433% 1,216
48

ROP

No
🔥 6

L2 Cache

16 MB
🔥 4 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 IGP

Release Date

Oct. 12, 2024 March 30, 2022

Display Outputs

No outputs
Portable Device Dependent

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