ASUS RTX 4050 Mobile vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of ASUS RTX 4050 Mobile with 6 GB GDDR6 and 2,560 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

ASUS RTX 4050 Mobile

5.7

ASUS RTX 4050 Mobile

5.7
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

Contents:

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

Memory

Memory Size

🔥 6 ГБ
96 GB

Memory Type

GDDR6 GDDR7

Memory Bandwidth

192.0 GB/s 1.79 TB/s

Memory Bus Width

96 бит 512 бит

ML Performance

FP16 (Half Precision)

🔥 12.06 TFLOPS
126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 12.06 TFLOPS
126.0 TFLOPS

FP64 (Double Precision)

🔥 +9,573,071% 188,400.0 TFLOPS
1.968 TFLOPS

CUDA Cores

🔥 2,560
24,064

RT Cores

🔥 20
188

Architecture & Compatibility

GPU Architecture

Ada Lovelace Blackwell 2.0

SM (Streaming Multiprocessor)

🔥 20
188

PCIe Version

PCIe 4.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

8.9
🔥 12.0

Clocks & Performance

Base Clock

🔥 +30% 2,070
1,590

Boost Clock

🔥 2,355
2,617

Memory Clock

🔥 +14% 2,000
1,750

Power Consumption

TDP/TGP

🔥 -92% 50 W
600 W

Recommended PSU

No 1000 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

🔥 80
752

ROP

🔥 20
188

L2 Cache

🔥 12 MB
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

IGP Dual-slot

Release Date

Jan. 3, 2023 March 18, 2025

Display Outputs

Portable Device Dependent
4x DisplayPort 2.1b

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