Barco MXRT-4700 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of Barco MXRT-4700 with 4 GB GDDR5 and 512 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

Barco MXRT-4700

0.0

Barco MXRT-4700

0.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

57.5

NVIDIA RTX PRO 6000 Blackwell Server

57.5

Contents:

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

Memory

Memory Size

4 ГБ
🔥 +2,300% 96 ГБ

Memory Type

GDDR5 GDDR7

Memory Bandwidth

96.00 GB/s
🔥 1.79 TB/s

Memory Bus Width

128 бит 512 бит

ML Performance

FP16 (Half Precision)

No
🔥 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

No
🔥 126.0 TFLOPS

FP64 (Double Precision)

0.07801999999999999 TFLOPS
🔥 +2,422% 1.968 TFLOPS

CUDA Cores

512
🔥 +4,600% 24,064

RT Cores

No
🔥 188

Architecture & Compatibility

GPU Architecture

GCN 4.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No
🔥 188

PCIe Version

PCIe 3.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

925
🔥 +72% 1,590

Boost Clock

1,219
🔥 +115% 2,617

Memory Clock

1,500
🔥 +17% 1,750

Power Consumption

TDP/TGP

🔥 -89% 65 W
600 W

Recommended PSU

🔥 -75% 250 W
1000 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

32
🔥 +2,250% 752

ROP

No
🔥 188

L2 Cache

512 KB
🔥 128 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

3 250 tokens/s

MLPerf, llama3.1-8b (fp4)

5 758 tokens/s

Geekbench AI, FP16

53 322 points

Geekbench AI, INT8

28 264 points

Geekbench AI, FP32

37 299 points

MLPerf, mixtral-8x7b (fp8)

3 767 tokens/s

Additional

Slots

Single-slot Dual-slot

Release Date

June 12, 2017 March 18, 2025

Display Outputs

1x DisplayPort 1.4a
2x mini-DisplayPort 1.4a
4x DisplayPort 2.1b

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