AMD Radeon Instinct MI250 vs Intel Arc A380M

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs Intel Arc A380M with 6 GB GDDR6 and 1,024 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms Intel Arc A380M by 1,541.61% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI250

50.9

AMD Radeon Instinct MI250

50.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

Intel Arc A380M

3.1

Intel Arc A380M

3.1

Expert Comparison

AMD Radeon Instinct MI250 значительно выигрывает по количеству ядер (13312 против 1024), объему памяти (128 ГБ против 6 ГБ) и пропускной способности (3.28 ТБ/с против 186 ГБ/с). Она также потребляет больше энергии (500 Вт против 35 Вт) и предназначена для высокопроизводительных вычислений. Intel Arc A380M более энергоэффективен и подходит для ноутбуков, хотя и уступает по мощности вычислений.

Contents:

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

Memory

Memory Size

🔥 +2,033% 128 ГБ
6 GB

Memory Type

HBM2e GDDR6

Memory Bandwidth

🔥 3.28 TB/s
186.0 GB/s

Memory Bus Width

8,192 бит 96 бит

ML Performance

FP16 (Half Precision)

🔥 +4,320% 362.1 TFLOPS
8.192 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,005% 45.26 TFLOPS
4.096 TFLOPS

FP64 (Double Precision)

🔥 +4,320% 45.26 TFLOPS
1.024 TFLOPS

CUDA Cores

🔥 +1,200% 13,312
1,024

RT Cores

No
🔥 8

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Xe-HPG

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 4.0 x16 MXM-A (3.1)

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

1,000
🔥 +55% 1,550

Boost Clock

1,700
🔥 +18% 2,000

Memory Clock

1,600
🔥 +21% 1,937

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin No

TDP/TGP

500 W
🔥 -93% 35 W

Rendering

Texture Units (TMU)

🔥 +1,200% 832
64

ROP

No
🔥 8

L2 Cache

16 MB
🔥 4 MB

Benchmarks

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

63.9 tokens/s

Additional

Slots

Dual-slot MXM Module

Release Date

Nov. 8, 2021 Jan. 24, 2023

Display Outputs

No outputs
Portable Device Dependent

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