AMD Radeon Instinct MI300X vs AMD Radeon R5 M330

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R5 M330 with 2 GB DDR3 and 320 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon R5 M330 by 17,009.09% 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 R5 M330

0.6

AMD Radeon R5 M330

0.6

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит AMD Radeon R5 M330 в практически всех характеристиках. MI300X имеет более мощную архитектуру CDNA 3.0, больше ядер и памяти, большую пропускную способность и гораздо более высокую производительность в FP32. Он предназначен для вычислений и больших данных, в то время как R5 M330 более подходящий для легких задач, таких как офисная работа или базовые игры.

Contents:

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

Memory

Memory Size

🔥 +9,500% 192 ГБ
2 GB

Memory Type

HBM3 DDR3

Memory Bandwidth

🔥 10.3 TB/s
14.40 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +12,297% 81.72 TFLOPS
0.6592 TFLOPS

FP64 (Double Precision)

🔥 +198,250% 81.72 TFLOPS
0.0412 TFLOPS

CUDA Cores

🔥 +5,980% 19,456
320

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

🔥 +5% 1,000
955

Boost Clock

🔥 +104% 2,100
1,030

Memory Clock

🔥 +181% 2,525
900

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W
🔥 -98% 18 W

Rendering

Texture Units (TMU)

🔥 +5,980% 1,216
20

ROP

No No

L2 Cache

🔥 16 MB
128 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 IGP

Release Date

Dec. 6, 2023 May 5, 2015

Display Outputs

No outputs
Portable Device Dependent

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