Is a 2070 or 1080 Better?
In the world of technology, graphics cards are a significant part of any computer’s hardware requirements. NVIDIA and AMD are two famous brands that dominate the world of graphics cards. For gamers or people who require powerful graphics processing capabilities, choosing the right graphics cards is essential. In this article, we compare the NVIDIA GeForce RTX 2070 with the NVIDIA GeForce GTX 1080. Both of these graphics cards belong to the Pascal generation, indicating their age.
Brief Comparison
To begin our analysis, let’s make a brief list comparing the two graphics cards:
| **RTX 2070** | **GTX 1080** |
| — | — |
| **Type:** RTX, 160-bit | **Type:** PCIe, 128-bit |
| **CUDA/ Stream Cores:** 2304 with a base clock speed at 1.5 GHz | CUDA/ Stream Cores: 3840 at 1.6 GHz / 1600 MHz |
| **Bus Bandwidth:** 4484 MT/s | **Bus Bandwidth: 3.28 GB, 4.89 GHz P/D |
| **Power Consumption: :** 215 watts | **TDP:** 170 watts|
| **Memory Bandwidth/size:** 512 GBp | **Memory Bandwidth/ Size ( 128-bit memory bus)::** 320 GB/8 GP |
Memory
The most significant differentiation between these two graphics cards lies in its memory structure. The GTX 1080 requires more memory bandwidth at 1448 MHz / 7208 MHz Effective Memory band for 16 GB of bandwidth to support multiple displays resolutions (4K 60Hz monitor resolution). While the RTX-2070 has 320 GB/448 bits of 512 GB bandwidth offering fewer memory bandwidth due to the bandwidth split between various functions the chip handles itself. Here it is significant that modern operating systems take care only using the available graphics memory required based on various tasks applications performance.
Processing Power/Clocks
To process its task, the GeForce RTX – 2070 holds 2302 full CU CUDA Processing Units processing (Cuda) and parallelizing the operation, stream in parallel cores (160 CUDA Cores). There, the CPU’s single (32-bit x 2^n x 2n) CUDA’s computing unit shares a unique data processing pattern with high single-integer processing capacities using 2*n. (GTX – 1088 contains (3840 CU CUDA CPU Processors)
General Observations/Constructions of the hardware and in computing power GPU. 2 CUDA has significant differences due to software that uses many more hardware than software processes, such applications will benefit with more CPUs at 1080-2C but 2K, HD monitors and other types of low-maintenance computer hardware where resources are fully utilized when resources are 108
Performance Benchmarks/Ranges
Some benchmark graphs illustrating the performance results for applications to help measure the differences on NVIDIA GeForce 2080, based on the 14th benchmark to measure both 10860 NVIDIA GeForce.
| Video 30 FPS for 10820 Nvidia GeForce | Video Benchmark-10840 NVIDIA and AMD Graphics GeForce |
|---|
|
Performance-Index Performance-Name` |
|---|