AMD Radeon Instinct MI250 vs AMD Radeon Pro Vega 16

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs AMD Radeon Pro Vega 16 with 4 GB HBM2 and 1,024 cores.

Loading...

Performance Rating

AMD Radeon Instinct MI250 outperforms AMD Radeon Pro Vega 16 by 1,557.65% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI250

50.9

AMD Radeon Instinct MI250

50.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Pro Vega 16

3.1

AMD Radeon Pro Vega 16

3.1

Expert Comparison

AMD Radeon Instinct MI250 значительно превосходит AMD Radeon Pro Vega 16 по многим параметрам: количество ядер (13312 против 1024), объем памяти (128 ГБ против 4 ГБ), пропускную способность (3.28 ТБ/с против 307.2 ГБ/с) и общую производительность (50.9 GPI против 3.1). MI250 предназначена для вычислительных задач и требует значительной мощности, тогда как Vega 16 более подходящ для графических задач и имеет гораздо меньший энергопотребление.

Contents:

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

Memory

Memory Size

🔥 +3,100% 128 ГБ
4 GB

Memory Type

HBM2e HBM2

Memory Bandwidth

🔥 3.28 TB/s
307.2 GB/s

Memory Bus Width

8,192 бит 1,024 бит

ML Performance

FP16 (Half Precision)

🔥 +7,329% 362.1 TFLOPS
4.874 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,757% 45.26 TFLOPS
2.437 TFLOPS

FP64 (Double Precision)

🔥 +29,618% 45.26 TFLOPS
0.1523 TFLOPS

CUDA Cores

🔥 +1,200% 13,312
1,024

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 GCN 5.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 4.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +23% 1,000
815

Boost Clock

🔥 +43% 1,700
1,190

Memory Clock

🔥 +33% 1,600
1,200

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin No

TDP/TGP

500 W
🔥 -85% 75 W

Rendering

Texture Units (TMU)

🔥 +1,200% 832
64

ROP

No No

L2 Cache

🔥 16 MB
1024 KB

Benchmarks

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

63.9 tokens/s

Additional

Slots

Dual-slot IGP

Release Date

Nov. 8, 2021 Nov. 14, 2018

Display Outputs

No outputs
Portable Device Dependent

Renting is cheaper than buying