AMD Radeon Instinct MI300X vs AMD Radeon RX 6650M

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon RX 6650M with 8 GB GDDR6 and 1,792 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon RX 6650M by 1,706.14% 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 RX 6650M

5.2

AMD Radeon RX 6650M

5.2

Expert Comparison

AMD Radeon Instinct MI300X лучше по характеристикам для вычислительной мощности и памяти благодаря большему количеству ядер, большей пропускной способности и более высокой TDP. Он предназначен для больших вычислений и AI-задач. AMD Radeon RX 6650M же более подходящ для гейming и轻量级任务,如日常图形处理和轻度游戏。MI300X的性能指数远高于RX 6650M,适用于高性能计算和深度学习应用。

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)

🔥 +3,674% 653.7 TFLOPS
17.32 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +844% 81.72 TFLOPS
8.659 TFLOPS

FP64 (Double Precision)

🔥 +15,000% 81.72 TFLOPS
0.5412 TFLOPS

CUDA Cores

🔥 +986% 19,456
1,792

RT Cores

No
🔥 28

Architecture & Compatibility

GPU Architecture

CDNA 3.0 RDNA 2.0

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
🔥 +107% 2,068

Boost Clock

2,100
🔥 +15% 2,416

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W
🔥 -84% 120 W

Rendering

Texture Units (TMU)

🔥 +986% 1,216
112

ROP

No
🔥 28

L2 Cache

16 MB
🔥 2 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 Jan. 4, 2022

Display Outputs

No outputs
Portable Device Dependent

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