NVIDIA RTX 5000 Mobile Ada Generation vs ATI Mobility FireGL V5600

VS

NVIDIA RTX 5000 Mobile Ada Generation ATI Mobility FireGL V5600

We compared two Mobile platform GPUs: 16GB VRAM RTX 5000 Mobile Ada Generation and 256MB VRAM Mobility FireGL V5600 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 5000 Mobile Ada Generation 's Advantages

Released 15 years and 10 months late

Boost Clock2115MHz

Larger VRAM bandwidth (576.0GB/s vs 12.80GB/s)

9608 additional rendering cores

Score

Benchmark

FP32 (float)

RTX 5000 Mobile Ada Generation +34191%

41.15 TFLOPS

Mobility FireGL V5600

0.12 TFLOPS

RTX 5000 Mobile Ada Generation

VS

Mobility FireGL V5600

Graphics Card

Mar 2023

Release Date

May 2007

Quadro Ada-M

Generation

Mobility FireGL

Mobile

Type

Mobile

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1425 MHz

Base Clock

-

2115 MHz

Boost Clock

-

2250 MHz

Memory Clock

400 MHz

Memory

16GB

Memory Size

256MB

GDDR6

Memory Type

GDDR3

256bit

Memory Bus

128bit

576.0GB/s

Bandwidth

12.80GB/s

Render Config

76

SM Count

-

Compute Units

3

9728

Shading Units

120

304

TMUs

8

112

ROPs

4

304

Tensor Cores

-

76

RT Cores

-

128 KB (per SM)

L1 Cache

-

64 MB

L2 Cache

64 KB

Theoretical Performance

236.9 GPixel/s

Pixel Rate

2.000 GPixel/s

643.0 GTexel/s

Texture Rate

4.000 GTexel/s

41.15 TFLOPS

FP16 (half)

-

41.15 TFLOPS

FP32 (float)

120.0 GFLOPS

643.0 GFLOPS

FP64 (double)

-

Graphics Processor

AD103

GPU Name

M76

-

GPU Variant

M76 GL

Ada Lovelace

Architecture

TeraScale

TSMC

Foundry

TSMC

5 nm

Process Size

65 nm

45.9 billion

Transistors

0.39 billion

379 mm²

Die Size

153 mm²

Board Design

120W

TDP

Unknown

-

Suggested PSU

-

Portable Device Dependent

Outputs

Portable Device Dependent

None

Power Connectors

-

Graphics Features

12 Ultimate (12_2)

DirectX

10.0 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

N/A

1.3

Vulkan

N/A

8.9

CUDA

-

6.7

Shader Model

4.0

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