AMD Radeon Instinct MI300X vs Intel Iris Xe Graphics G7 80EU Mobile

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Intel Iris Xe Graphics G7 80EU Mobile and 640 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

AMD Radeon Instinct MI300X

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

Intel Iris Xe Graphics G7 80EU Mobile

Intel Iris Xe Graphics G7 80EU Mobile

Contents:

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

Memory

Memory Size

192 GB No

Memory Type

HBM3 System Shared

Memory Bandwidth

10.3 TB/s System Dependent

Memory Bus Width

8,192 бит No

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 2.816 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 1.408 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.352 TFLOPS

CUDA Cores

19,456 640

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Generation 12.1

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 Ring Bus

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

1,000 300

Boost Clock

2,100 1,100

Memory Clock

2,525 No

Power Consumption

TDP/TGP

750 W
🔥 -98% 15 W

Recommended PSU

1150 W No

Power Connector

None No

Rendering

Texture Units (TMU)

1,216 40

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 IGP

Release Date

Dec. 6, 2023 Sept. 2, 2020

Display Outputs

No outputs
Portable Device Dependent

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