Home / GPU Comparison / NVIDIA RTX A4500 or NVIDIA GeForce RTX 3080 12 GB: What's better?

NVIDIA RTX A4500

vs

NVIDIA GeForce RTX 3080 12 GB

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX A4500 and NVIDIA GeForce RTX 3080 12 GB video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX A4500

Larger Memory Size: 20GB (20GB vs 12GB)

NVIDIA GeForce RTX 3080 12 GB

Higher Boost Clock: 1710MHz (1650MHz vs 1710MHz)
Higher Bandwidth: 912.4 GB/s (640.0 GB/s vs 912.4 GB/s)
More Shading Units: 8960 (7168 vs 8960)
Newer Launch Date: January 2022 (November 2021 vs January 2022)

Basic

NVIDIA

Label Name

NVIDIA

November 2021

Launch Date

January 2022

Professional

Platform

Desktop

RTX A4500

Model Name

GeForce RTX 3080 12 GB

Quadro

Generation

GeForce 30

1050MHz

Base Clock

1260MHz

1650MHz

Boost Clock

1710MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

28,300 million

Transistors

28,300 million

RT Cores

224

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

280

224

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

280

Samsung

Foundry

Samsung

8 nm

Process Size

8 nm

Ampere

Architecture

Ampere

Memory Specifications

20GB

Memory Size

12GB

GDDR6

Memory Type

GDDR6X

320bit

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

384bit

2000MHz

Memory Clock

1188MHz

640.0 GB/s

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

912.4 GB/s

Display and Media

4x DisplayPort 1.4a

Outputs

1x HDMI 2.1
3x DisplayPort 1.4a

Theoretical Performance

158.4 GPixel/s

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

164.2 GPixel/s

369.6 GTexel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

478.8 GTexel/s

23.65 TFLOPS

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

30.64 TFLOPS

739.2 GFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

478.8 GFLOPS

23.177 TFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

31.253 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

7168

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

8960

128 KB (per SM)

L1 Cache

128 KB (per SM)

6MB

L2 Cache

5MB

200W

TDP

350W

1.3

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

8.6

CUDA

8.6

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

1x 8-pin

Power Connectors

1x 12-pin

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

6.6

Shader Model

6.6

550W

Suggested PSU

750W