AMD Radeon Instinct MI300X vs Intel Arc A570M

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Intel Arc A570M with 8 GB GDDR6 and 2,048 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms Intel Arc A570M by 2,258.4% 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

Intel Arc A570M

4.0

Intel Arc A570M

4.0

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит Intel Arc A570M по многим параметрам. MI300X имеет больше ядер, большую память и пропускную способность, а также гораздо более высокий индекс производительности (GPI). MI300X лучше подходит для вычислений и больших данных. Intel Arc A570M больше ориентирован на графические задачи и мобильные устройства с ограниченными ресурсами.

Contents:

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

Memory

Memory Size

🔥 +2,300% 192 ГБ
8 GB

Memory Type

HBM3 GDDR6

Memory Bandwidth

🔥 10.3 TB/s
224.0 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +6,038% 653.7 TFLOPS
10.65 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,435% 81.72 TFLOPS
5.325 TFLOPS

FP64 (Double Precision)

🔥 81.72 TFLOPS
No

CUDA Cores

🔥 +850% 19,456
2,048

RT Cores

No
🔥 16

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

🔥 +11% 1,000
900

Boost Clock

🔥 +62% 2,100
1,300

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

Recommended PSU

1150 W No

Power Connector

None No

TDP/TGP

750 W
🔥 -90% 75 W

Rendering

Texture Units (TMU)

🔥 +850% 1,216
128

ROP

No
🔥 16

L2 Cache

16 MB
🔥 8 MB

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 IGP

Release Date

Dec. 6, 2023 Aug. 1, 2023

Display Outputs

No outputs
Portable Device Dependent

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