AMD Radeon Instinct MI325X vs AMD Radeon Pro W6500M

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon Pro W6500M with 4 GB GDDR6 and 1,024 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon Pro W6500M by 3,702.28% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Pro W6500M

2.6

AMD Radeon Pro W6500M

2.6

Expert Comparison

AMD Radeon Instinct MI325X лучше по производительности и мощности для вычислений и AI-задач благодаря большему количеству ядер, более высокой пропускной способности памяти и TDP 1000 Вт. AMD Radeon Pro W6500M более подходящий для графической обработки и轻量级任务,功耗仅为25瓦,更适合移动工作站或轻负载场景。

Contents:

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

Memory

Memory Size

🔥 +7,100% 288 ГБ
4 GB

Memory Type

HBM3e GDDR6

Memory Bandwidth

🔥 10.3 TB/s
128.0 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +7,723% 653.7 TFLOPS
8.356 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,856% 81.72 TFLOPS
4.178 TFLOPS

FP64 (Double Precision)

🔥 +31,198% 81.72 TFLOPS
0.2611 TFLOPS

CUDA Cores

🔥 +1,800% 19,456
1,024

RT Cores

No 16

Architecture & Compatibility

GPU Architecture

CDNA 3.0 RDNA 2.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x4

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 1,000
1,512

Boost Clock

🔥 +3% 2,100
2,040

Memory Clock

🔥 +26% 2,525
2,000

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -98% 25 W

Rendering

Texture Units (TMU)

🔥 +1,800% 1,216
64

ROP

No 16

L2 Cache

🔥 16 MB
1024 KB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

llama.cpp, llama-2-7b-Q4_0

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module Single-slot

Release Date

Oct. 12, 2024 No

Display Outputs

No outputs
Portable Device Dependent

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