AMD Radeon Instinct MI250 vs AMD Radeon R9 M290X

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs AMD Radeon R9 M290X with 4 GB GDDR5 and 1,280 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms AMD Radeon R9 M290X by 2,151.77% 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 R9 M290X

2.3

AMD Radeon R9 M290X

2.3

Expert Comparison

AMD Radeon Instinct MI250 значительно превосходит AMD Radeon R9 M290X по многим параметрам: имеет больше ядер (13312 против 1280), большую память (128 ГБ HBM2e против 4 ГБ GDDR5), большую пропускную способность (3.28 TB/s против 153.6 GB/s) и более высокую производительность в FP32 (45.26 TFLOPS против 2.304 TFLOPS). MI250 лучше подходит для вычислительных задач и AI, тогда как R9 M290X больше подходит для игр и базовых вычислений.

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 GDDR5

Memory Bandwidth

🔥 3.28 TB/s
153.6 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 362.1 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,864% 45.26 TFLOPS
2.304 TFLOPS

FP64 (Double Precision)

🔥 +31,331% 45.26 TFLOPS
0.144 TFLOPS

CUDA Cores

🔥 +940% 13,312
1,280

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 GCN 1.0

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

🔥 +18% 1,000
850

Boost Clock

🔥 +89% 1,700
900

Memory Clock

🔥 +33% 1,600
1,200

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin None

TDP/TGP

500 W
🔥 -80% 100 W

Rendering

Texture Units (TMU)

🔥 +940% 832
80

ROP

No No

L2 Cache

🔥 16 MB
512 KB

Benchmarks

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

63.9 tokens/s

Additional

Slots

Dual-slot MXM Module

Release Date

Nov. 8, 2021 Jan. 9, 2014

Display Outputs

No outputs
Portable Device Dependent

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