NVIDIA RTX 1000 Mobile Ada Generation vs AMD Radeon E8870

VS

NVIDIA RTX 1000 Mobile Ada Generation AMD Radeon E8870

We compared two Mobile platform GPUs: 6GB VRAM RTX 1000 Mobile Ada Generation and 4GB VRAM Radeon E8870 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 1000 Mobile Ada Generation 's Advantages

Released 8 years and 5 months late

Boost Clock2025MHz

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (192.0GB/s vs 96.00GB/s)

1792 additional rendering cores

Lower TDP (35W vs 75W)

Score

Benchmark

FP32 (float)

RTX 1000 Mobile Ada Generation +575%

10.37 TFLOPS

Radeon E8870

1.536 TFLOPS

RTX 1000 Mobile Ada Generation

VS

Radeon E8870

Graphics Card

Feb 2024

Release Date

Sep 2015

Quadro Ada-M

Generation

Embedded

Mobile

Type

Mobile

PCIe 4.0 x8

Bus Interface

MXM-B (3.0)

Clock Speeds

1485 MHz

Base Clock

-

2025 MHz

Boost Clock

-

2000 MHz

Memory Clock

1500 MHz

Memory

6GB

Memory Size

4GB

GDDR6

Memory Type

GDDR5

96bit

Memory Bus

128bit

192.0GB/s

Bandwidth

96.00GB/s

Render Config

20

SM Count

-

Compute Units

12

2560

Shading Units

768

80

TMUs

48

ROPs

16

80

Tensor Cores

-

20

RT Cores

-

128 KB (per SM)

L1 Cache

16 KB (per CU)

12 MB

L2 Cache

256 KB

Theoretical Performance

97.20 GPixel/s

Pixel Rate

16.00 GPixel/s

162.0 GTexel/s

Texture Rate

48.00 GTexel/s

10.37 TFLOPS

FP16 (half)

-

10.37 TFLOPS

FP32 (float)

1.536 TFLOPS

162.0 GFLOPS

FP64 (double)

96.00 GFLOPS

Graphics Processor

AD107

GPU Name

Saturn

-

GPU Variant

Saturn PRO

Ada Lovelace

Architecture

GCN 2.0

TSMC

Foundry

TSMC

5 nm

Process Size

28 nm

18.9 billion

Transistors

2.08 billion

159 mm²

Die Size

160 mm²

Board Design

35W

TDP

75W

-

Suggested PSU

-

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

None

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_0)

4.6

OpenGL

4.6

3.0

OpenCL

2.0

1.3

Vulkan

1.2

8.9

CUDA

-

6.7

Shader Model

6.3

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