Home / GPU Comparison / AMD Radeon RX 6700 or NVIDIA GeForce RTX 3070 Mobile: What's better?

AMD Radeon RX 6700 vs NVIDIA GeForce RTX 3070 Mobile

AMD Radeon RX 6700

NVIDIA GeForce RTX 3070 Mobile

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 6700 and NVIDIA GeForce RTX 3070 Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 6700

Higher Boost Clock: 2450MHz (2450MHz vs 1560MHz)
Larger Memory Size: 10GB (10GB vs 8GB)
Newer Launch Date: June 2021 (June 2021 vs January 2021)

NVIDIA GeForce RTX 3070 Mobile

Higher Bandwidth: 448.0 GB/s (320.0 GB/s vs 448.0 GB/s)
More Shading Units: 5120 (2304 vs 5120)

Basic

AMD

Label Name

NVIDIA

June 2021

Launch Date

January 2021

Desktop

Platform

Mobile

Radeon RX 6700

Model Name

GeForce RTX 3070 Mobile

Navi II

Generation

GeForce 30 Mobile

1941MHz

Base Clock

1110MHz

2450MHz

Boost Clock

1560MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

17,200 million

Transistors

17,400 million

RT Cores

Compute Units

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.

160

144

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.

160

TSMC

Foundry

Samsung

7 nm

Process Size

8 nm

RDNA 2.0

Architecture

Ampere

Memory Specifications

10GB

Memory Size

8GB

GDDR6

Memory Type

GDDR6

160bit

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.

256bit

2000MHz

Memory Clock

1750MHz

320.0 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.

448.0 GB/s

Theoretical Performance

156.8 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.

124.8 GPixel/s

352.8 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.

249.6 GTexel/s

22.58 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.

15.97 TFLOPS

705.6 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.

249.6 GFLOPS

11.064 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.

15.651 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.

2304

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.

5120

128 KB per Array

L1 Cache

128 KB (per SM)

3MB

L2 Cache

4MB

175W

TDP

115W

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

2.1

OpenCL Version

3.0

4.6

OpenGL

4.6

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

CUDA

8.6

1x 8-pin

Power Connectors

None

6.5

Shader Model

6.6

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.

450W

Suggested PSU