GeForce GTX 1060 6 GB Rev. 2
NVIDIA GeForce GTX 1060 6 GB Rev. 2 vs Intel Arc A730M
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA GeForce GTX 1060 6 GB Rev. 2 and Intel Arc A730M video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
Intel
Launch Date
January 2018
January 2022
Platform
Desktop
Mobile
Model Name
GeForce GTX 1060 6 GB Rev. 2
Arc A730M
Generation
GeForce 10
Alchemist
Base Clock
1506MHz
300MHz
Boost Clock
1709MHz
1100MHz
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
3072
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
-
Transistors
4,400 million
21,700 million
RT Cores
-
24
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
192
L1 Cache
48 KB (per SM)
-
L2 Cache
1536KB
12MB
Bus Interface
PCIe 3.0 x16
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
16 nm
6 nm
Architecture
Pascal
Generation 12.7
TDP
120W
80W
Memory Specifications
Memory Size
6GB
12GB
Memory Type
GDDR5
GDDR6
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
192bit
Memory Clock
2002MHz
1750MHz
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
336.0 GB/s
Theoretical Performance
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
105.6 GPixel/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
211.2 GTexel/s
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
13.52 TFLOPS
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
-
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
7.032
TFlops
Miscellaneous
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
1.3
OpenCL Version
3.0
3.0
OpenGL
4.6
4.6
DirectX
12 (12_1)
12 Ultimate (12_2)
CUDA
6.1
-
Power Connectors
1x 6-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.
48
96
Shader Model
6.4
6.6
Suggested PSU
300W
-
Advantages
GeForce GTX 1060 6 GB Rev. 2
- Higher Boost Clock: 1709MHz (1709MHz vs 1100MHz)
Arc A730M
- More Shading Units: 3072 (1280 vs 3072)
- Larger Memory Size: 12GB (6GB vs 12GB)
- Higher Bandwidth: 336.0 GB/s (192.2 GB/s vs 336.0 GB/s)
- Newer Launch Date: January 2022 (January 2018 vs January 2022)
FP32 (float)
GeForce GTX 1060 6 GB Rev. 2
4.287
TFlops
Arc A730M
+64%
7.032
TFlops
SiliconCat Rating
250
Ranks 250 among Desktop GPU on our website
531
Ranks 531 among all GPU on our website
69
Ranks 69 among Mobile GPU on our website
375
Ranks 375 among all GPU on our website
Arc A730M
