Intel UHD Graphics P750 vs NVIDIA H200 SXM 141 GB

Comparison of Intel UHD Graphics P750 and 256 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

Intel UHD Graphics P750

0.0

Intel UHD Graphics P750

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

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4

Contents:

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

Memory

Memory Size

No
🔥 141 ГБ

Memory Type

System Shared HBM3e

Memory Bandwidth

System Dependent
🔥 4.89 TB/s

Memory Bus Width

No 6,144 бит

ML Performance

FP16 (Half Precision)

No
🔥 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +895% 665.6 TFLOPS
66.91 TFLOPS

FP64 (Double Precision)

0.1664 TFLOPS
🔥 +20,002% 33.45 TFLOPS

CUDA Cores

256
🔥 +6,500% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Generation 12.1 Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

Ring Bus PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

Clocks & Performance

Base Clock

350
🔥 +329% 1,500

Boost Clock

1,300
🔥 +52% 1,980

Memory Clock

No
🔥 1,593

Power Consumption

TDP/TGP

🔥 -98% 15 W
700 W

Recommended PSU

No 1100 W

Power Connector

No 8-pin EPS

Rendering

Texture Units (TMU)

64
🔥 +725% 528

ROP

No No

L2 Cache

No
🔥 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

3 534 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

3 553 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

2 444 tokens/s

MLPerf, llama3.1-405b (fp16)

40.8 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

IGP
🔥 SXM Module

Release Date

July 15, 2021 Nov. 18, 2024

Display Outputs

Motherboard Dependent
No outputs

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