AMD Radeon Vega 8
vs
NVIDIA GeForce GTX 1060 6 GB

vs

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 8 and NVIDIA GeForce GTX 1060 6 GB video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: Up to 2100 MHz, depending on processor (Up to 2100 MHz, depending on processor vs 1709MHz)
  • Newer Launch Date: January 2021 (January 2021 vs July 2016)
  • Larger Memory Size: 6GB (System Shared vs 6GB)
  • Higher Bandwidth: 192.2 GB/s (System Dependent vs 192.2 GB/s)
  • More Shading Units: 1280 (512 vs 1280)

Basic

AMD
Label Name
NVIDIA
January 2021
Launch Date
July 2016
Integrated
Platform
Desktop
Radeon Vega 8 (Ryzen 4000/5000/7030)
Model Name
GeForce GTX 1060 6 GB
Renoir / Lucienne / Cezanne / Barcelo / Barcelo-R
Generation
GeForce 10
300MHz
Base Clock
1506MHz
Up to 2100 MHz, depending on processor
Boost Clock
1709MHz
IGP
Bus Interface
PCIe 3.0 x16
-
Transistors
4,400 million
8
Compute Units
-
32
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.
80
TSMC
Foundry
TSMC
7 nm
Process Size
16 nm
Vega / GCN 5
Architecture
Pascal

Memory Specifications

System Shared
Memory Size
6GB
System Shared
Memory Type
GDDR5
System Shared
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.
192bit
SystemShared
Memory Clock
2002MHz
System Dependent
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.
192.2 GB/s

Display and Media

No outputs
Outputs
1x DVI
1x HDMI 2.0
3x DisplayPort 1.4a

Theoretical Performance

16.00 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.
82.03 GPixel/s
64.00 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.
136.7 GTexel/s
4.096 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.
68.36 GFLOPS
128.0 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.
136.7 GFLOPS
2.089 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.
4.287 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.
10
512
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.
1280
-
L1 Cache
48 KB (per SM)
-
L2 Cache
1536KB
-
TDP
120W
1.2
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
-
CUDA
6.1
12 (12_1)
DirectX
12 (12_1)
None
Power Connectors
1x 6-pin
8
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.
48
6.4
Shader Model
6.4
-
Suggested PSU
300W

Benchmarks

FP32 (float) / TFLOPS
Radeon Vega 8
2.089
GeForce GTX 1060 6 GB
4.287 +105%
3DMark Time Spy
Radeon Vega 8
2742
GeForce GTX 1060 6 GB
4099 +49%
Blender
Radeon Vega 8
62
GeForce GTX 1060 6 GB
363.3 +486%