AMD Radeon Instinct MI300X vs AMD Radeon R7 M445

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R7 M445 with 4 GB GDDR5 and 320 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon R7 M445 by 13,738.24% 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 R7 M445

0.7

AMD Radeon R7 M445

0.7

The AMD Radeon Instinct MI300X dramatically outperforms the AMD Radeon R7 M445, leading by 13738% in the overall GPI performance index. For machine learning, the AMD Radeon Instinct MI300X has the edge in FP16 performance (+110922%) and VRAM (192 vs 4 GB). For gaming, the AMD Radeon Instinct MI300X delivers 13779% more FP32 throughput.

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
32.00 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +110,922% 653.7 TFLOPS
0.5888 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +13,779% 81.72 TFLOPS
0.5888 TFLOPS

FP64 (Double Precision)

🔥 +221,965% 81.72 TFLOPS
0.0368 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 PCIe 3.0 x8

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 +28% 1,000
780

Boost Clock

🔥 +128% 2,100
920

Memory Clock

🔥 +152% 2,525
1,000

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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