AMD Radeon Instinct MI250 vs NVIDIA GeForce GTX 1050 Max-Q

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs NVIDIA GeForce GTX 1050 Max-Q with 4 GB GDDR5 and 640 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms NVIDIA GeForce GTX 1050 Max-Q by 3,204.55% 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

NVIDIA GeForce GTX 1050 Max-Q

1.5

NVIDIA GeForce GTX 1050 Max-Q

1.5

Expert Comparison

AMD Radeon Instinct MI250 значительно превосходит NVIDIA GeForce GTX 1050 Max-Q по мощности и производительности. MI250 имеет более 20 раз больше ядер, 32 раза больше памяти и почти 30 раз большую пропускную способность. Она предназначена для высокопроизводительных вычислений и машинного обучения, в то время как GTX 1050 Max-Q больше подходит для базовых задач графики и игр на ноутбуках.

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
112.1 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +1,588,058% 362.1 TFLOPS
0.0228 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +3,004% 45.26 TFLOPS
1.4579 TFLOPS

FP64 (Double Precision)

🔥 +99,154% 45.26 TFLOPS
0.0456 TFLOPS

CUDA Cores

🔥 +1,980% 13,312
640

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Pascal

SM (Streaming Multiprocessor)

No 5

PCIe Version

PCIe 4.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 6.1

CUDA Toolkit (first supported)

v8

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,000
1,000

Boost Clock

🔥 +49% 1,700
1,139

Memory Clock

🔥 1,600
1,752

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin None

TDP/TGP

500 W
🔥 -85% 75 W

Rendering

Texture Units (TMU)

🔥 +1,980% 832
40

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 Jan. 3, 2018

Display Outputs

No outputs
Portable Device Dependent

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