NVIDIA GeForce GTX 1650 TU116 vs NVIDIA GeForce 8800 GTS Core 112

VS

NVIDIA GeForce GTX 1650 TU116

NVIDIA GeForce 8800 GTS Core 112

We compared two Desktop platform GPUs: 4GB VRAM GeForce GTX 1650 TU116 and 640MB VRAM GeForce 8800 GTS Core 112 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce GTX 1650 TU116 's Advantages

Released 12 years and 8 months late

Boost Clock1590MHz

More VRAM (4GB vs 640GB)

Larger VRAM bandwidth (192.0GB/s vs 64.00GB/s)

784 additional rendering cores

Lower TDP (80W vs 150W)

Score

Benchmark

FP32 (float)

GeForce GTX 1650 TU116 +959%

2.849 TFLOPS

GeForce 8800 GTS Core 112

0.269 TFLOPS

GeForce GTX 1650 TU116

VS

GeForce 8800 GTS Core 112

Graphics Card

Jul 2020

Release Date

Nov 2007

GeForce 16

Generation

GeForce 8

Desktop

Type

Desktop

PCIe 3.0 x16

Bus Interface

PCIe 1.0 x16

Clock Speeds

1410 MHz

Base Clock

-

1590 MHz

Boost Clock

-

1500 MHz

Memory Clock

800 MHz

Memory

4GB

Memory Size

640MB

GDDR6

Memory Type

GDDR3

128bit

Memory Bus

320bit

192.0GB/s

Bandwidth

64.00GB/s

Render Config

-

14

SM Count

14

896

Shading Units

112

56

TMUs

28

32

ROPs

20

-

64 KB (per SM)

L1 Cache

-

1024 KB

L2 Cache

80 KB

-

Theoretical Performance

50.88 GPixel/s

Pixel Rate

10.00 GPixel/s

89.04 GTexel/s

Texture Rate

28.00 GTexel/s

5.699 TFLOPS

FP16 (half)

-

2.849 TFLOPS

FP32 (float)

268.8 GFLOPS

89.04 GFLOPS

FP64 (double)

-

Board Design

80W

TDP

150W

250 W

Suggested PSU

450 W

1x DVI 1x HDMI 2.0 1x DisplayPort 1.4a

Outputs

2x DVI 1x S-Video

None

Power Connectors

1x 6-pin

Graphics Processor

TU116

GPU Name

G80

TU116-150-KA-A1

GPU Variant

G80-100-K0-A2

Turing

Architecture

Tesla

TSMC

Foundry

TSMC

12 nm

Process Size

90 nm

6.6 billion

Transistors

0.681 billion

284 mm²

Die Size

484 mm²

Graphics Features

12 (12_1)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1 (1.0)

1.3

Vulkan

N/A

7.5

CUDA

1.0

6.6

Shader Model

4.0

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