AMD Radeon Instinct MI300X vs AMD Radeon RX 460 Mobile

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon RX 460 Mobile with 4 GB GDDR5 and 896 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon RX 460 Mobile by 5,246.59% 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 460 Mobile

1.8

AMD Radeon RX 460 Mobile

1.8

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит AMD Radeon RX 460 Mobile по всем параметрам. MI300X имеет гораздо больше ядер, больше памяти и пропускную способность, а также более высокую производительность в FP32. MI300X подходит для вычислительных задач, машинного обучения и других интенсивных вычислений, в то время как RX 460 Mobile больше подходит для игр на ноутбуках или легких задач настольного ПК.

Contents:

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

Memory

Memory Size

🔥 +4,700% 192 ГБ
4 GB

Memory Type

HBM3 GDDR5

Memory Bandwidth

🔥 10.3 TB/s
80.00 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +30,808% 653.7 TFLOPS
2.115 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +3,764% 81.72 TFLOPS
2.115 TFLOPS

FP64 (Double Precision)

🔥 +61,715% 81.72 TFLOPS
0.1322 TFLOPS

CUDA Cores

🔥 +2,071% 19,456
896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 4.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 1,000
1,000

Boost Clock

🔥 +78% 2,100
1,180

Memory Clock

🔥 +102% 2,525
1,250

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W
🔥 -93% 55 W

Rendering

Texture Units (TMU)

🔥 +2,071% 1,216
56

ROP

No No

L2 Cache

🔥 16 MB
1024 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 MXM Module

Release Date

Dec. 6, 2023 Aug. 8, 2016

Display Outputs

No outputs
Portable Device Dependent

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