NVIDIA GeForce RTX 5090 Mobile vs NVIDIA Quadro P5000 Mobile

Comparison NVIDIA GeForce RTX 5090 Mobile with 24 GB GDDR7 and 10,496 cores vs NVIDIA Quadro P5000 Mobile with 16 GB GDDR5 and 2,048 cores.

Loading...

Performance Rating

NVIDIA GeForce RTX 5090 Mobile outperforms NVIDIA Quadro P5000 Mobile by 266.93% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA GeForce RTX 5090 Mobile

18.3

NVIDIA GeForce RTX 5090 Mobile

18.3
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA Quadro P5000 Mobile

5.0

NVIDIA Quadro P5000 Mobile

5.0

Expert Comparison

NVIDIA GeForce RTX 5090 Mobile значительно превосходит NVIDIA Quadro P5000 Mobile в практически всех характеристиках. У RTX 5090 Mobile больше ядер, большая память (24 ГБ против 16 ГБ), более высокая пропускная способность (896.0 GB/s против 192.0 GB/s) и гораздо большая производительность в FP32 (33.52 TFLOPS против 6.169 TFLOPS). Он также имеет более высокую частоту и TDP. RTX 5090 Mobile подходит для современных игр и вычислений с использованием Ray Tracing, в то время как Quadro P5000 Mobile лучше всего подходит для графических задач и профессионального использования.

Contents:

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

Memory

Memory Size

🔥 +50% 24 ГБ
16 GB

Memory Type

GDDR7 GDDR5

Memory Bandwidth

896.0 GB/s 192.0 GB/s

Memory Bus Width

256 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +34,672% 33.52 TFLOPS
0.0964 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +443% 33.52 TFLOPS
6.169 TFLOPS

FP64 (Double Precision)

🔥 +172% 0.5238 TFLOPS
0.1928 TFLOPS

CUDA Cores

🔥 +412% 10,496
2,048

RT Cores

🔥 82
No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Pascal

SM (Streaming Multiprocessor)

🔥 +412% 82
16

PCIe Version

PCIe 5.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

🔥 12.0
6.1

CUDA Toolkit (first supported)

v12 v8

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,095
1,164

Boost Clock

🔥 +6% 1,597
1,506

Memory Clock

🔥 +17% 1,750
1,500

Power Consumption

Recommended PSU

No No

Power Connector

None None

TDP/TGP

🔥 -5% 95 W
100 W

Rendering

Texture Units (TMU)

🔥 +156% 328
128

ROP

🔥 82
No

L2 Cache

🔥 +3,100% 64 MB
2 MB

Additional

Slots

IGP MXM Module

Release Date

March 27, 2025 Jan. 11, 2017

Display Outputs

Portable Device Dependent
Portable Device Dependent

Renting is cheaper than buying