AMD Radeon Instinct MI300X vs AMD Radeon R8 M445DX

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R8 M445DX and 320 cores.

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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 R8 M445DX

AMD Radeon R8 M445DX

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит AMD Radeon R8 M445DX в большинстве параметров. MI300X имеет гораздо больше ядер (19456 против 320), большую память (192 ГБ HBM3 против не указанной) и высокую пропускную способность (10.3 TB/s против системы зависимой). MI300X идеально подходит для вычислений и AI, тогда как R8 M445DX устарел и подходит только для базовых задач графики и игр.

Contents:

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

Memory

Memory Size

🔥 192 ГБ
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)

🔥 +99,946% 653.7 TFLOPS
0.6534 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +12,407% 81.72 TFLOPS
0.6534 TFLOPS

FP64 (Double Precision)

🔥 +200,194% 81.72 TFLOPS
0.0408 TFLOPS

CUDA Cores

🔥 +5,980% 19,456
320

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 3.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 IGP

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +28% 1,000
780

Boost Clock

🔥 +106% 2,100
1,021

Memory Clock

🔥 2,525
No

Power Consumption

Recommended PSU

1150 W No

Power Connector

None No

TDP/TGP

750 W unknown

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 15, 2016

Display Outputs

No outputs
Portable Device Dependent

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