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GPU16 Product Benchmarks
Choose First ProductAMD Radeon HD 7850AMD Radeon HD 7970AMD Radeon R7 370AMD Radeon R9 280AMD Radeon R9 290AMD Radeon R9 290X «Uber»AMD Radeon R9 380AMD Radeon R9 380XAMD Radeon R9 390AMD Radeon R9 390XAMD Radeon R9 Fury XAMD Radeon R9 NanoAMD Radeon RX 470AMD Radeon RX 480 4GBAMD Radeon RX 480 8GBAMD Radeon RX 570AMD Radeon RX 580ASUS ROG Strix GeForce GTX 1060 OCNVIDIA GeForce GTX 1060 Founders EditionNVIDIA GeForce GTX 1070 Founders EditionNVIDIA GeForce GTX 1080 Founders EditionNVIDIA GeForce GTX 1080 Ti Founders EditionNVIDIA GeForce GTX 660NVIDIA GeForce GTX 670NVIDIA GeForce GTX 680NVIDIA GeForce GTX 760NVIDIA GeForce GTX 770NVIDIA GeForce GTX 780NVIDIA GeForce GTX 780TiNVIDIA GeForce GTX 960NVIDIA GeForce GTX 970NVIDIA GeForce GTX 980NVIDIA GeForce GTX 980TiPowerColor Red Devil RX 580Sapphire Nitro+ RX 570
Choose Second ProductAMD Radeon HD 7850AMD Radeon HD 7970AMD Radeon R7 370AMD Radeon R9 280AMD Radeon R9 290AMD Radeon R9 290X «Uber»AMD Radeon R9 380AMD Radeon R9 380XAMD Radeon R9 390AMD Radeon R9 390XAMD Radeon R9 Fury XAMD Radeon R9 NanoAMD Radeon RX 470AMD Radeon RX 480 4GBAMD Radeon RX 480 8GBAMD Radeon RX 570AMD Radeon RX 580ASUS ROG Strix GeForce GTX 1060 OCNVIDIA GeForce GTX 1060 Founders EditionNVIDIA GeForce GTX 1070 Founders EditionNVIDIA GeForce GTX 1080 Founders EditionNVIDIA GeForce GTX 1080 Ti Founders EditionNVIDIA GeForce GTX 660NVIDIA GeForce GTX 670NVIDIA GeForce GTX 680NVIDIA GeForce GTX 760NVIDIA GeForce GTX 770NVIDIA GeForce GTX 780NVIDIA GeForce GTX 780TiNVIDIA GeForce GTX 960NVIDIA GeForce GTX 970NVIDIA GeForce GTX 980NVIDIA GeForce GTX 980TiPowerColor Red Devil RX 580Sapphire Nitro+ RX 570
View Single Product
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Bench Results
The Witcher 3 — 1920×1080 — Ultra Quality (No Hairworks)
Frames per Second — Higher is Better
Product Ratings & Comparisons
NVIDIA GeForce GTX 1080 Ti Founders Edition
133. 3
NVIDIA GeForce GTX 1080 Founders Edition
103.9
NVIDIA GeForce GTX 1070 Founders Edition
83.3
NVIDIA GeForce GTX 980Ti
78.4
AMD Radeon R9 Fury X
66.8
NVIDIA GeForce GTX 980
61.8
ASUS ROG Strix GeForce GTX 1060 OC
60.8
AMD Radeon R9 Nano
59.2
NVIDIA GeForce GTX 1060 Founders Edition
58.5
PowerColor Red Devil RX 580
57.5
AMD Radeon RX 580
55.
3
AMD Radeon R9 390X
54.5
Sapphire Nitro+ RX 570
53.7
AMD Radeon RX 480 8GB
53.2
NVIDIA GeForce GTX 970
52.2
NVIDIA GeForce GTX 780Ti
51.1
AMD Radeon R9 390
50.2
AMD Radeon RX 570
50.1
AMD Radeon R9 290X «Uber»
49.9
AMD Radeon RX 480 4GB
49.8
AMD Radeon RX 470
47.6
AMD Radeon R9 290
47
NVIDIA GeForce GTX 780
40
AMD Radeon R9 380X
38.
4
AMD Radeon R9 380
35.7
NVIDIA GeForce GTX 770
33.2
NVIDIA GeForce GTX 960
32.9
NVIDIA GeForce GTX 680
31.3
AMD Radeon HD 7970
29.2
AMD Radeon R9 280
28.7
NVIDIA GeForce GTX 670
28
NVIDIA GeForce GTX 760
26.3
AMD Radeon R7 370
23.9
AMD Radeon HD 7850
21.2
NVIDIA GeForce GTX 660
20.
5
Compare Graphics Cards — PCGameBenchmark
Welcome to our 2022 graphics card comparison list. Use our tool to compare GPUs, based around many PC games they can run. We have both an AMD and NVIDIA graphics cards comparison chart and you can filter by GPU, price, brand and rating to find the best graphics card for gaming.
We track all the lowest prices on Amazon, along with sales and Prime offers — to help you get the best graphics card for the money.
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EVGA GeForce RTX 2080 Ti FTW3 Ultra Gami.
..
| $1399.99 (Save $97) |
| EVGA |
|
GeForce RTX 2080 Ti |
| 99% Rating |
| Min | Rec |
|---|---|
| — | |
NVIDIA 900-1G150-2530-000
$1329. 99 (Save $226)
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| NVIDIA |
|
GeForce RTX 2080 Ti |
| 99% Rating |
| Min | Rec |
|---|---|
| — | |
Gigabyte GV-N2080GAMING OC-8GC
Available with Prime Delivery
$665. 49 (Save $106)
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| Gigabyte |
|
GeForce RTX 2080 |
| 99% Rating |
| Min | Rec |
|---|---|
| — | |
EVGA GeForce RTX 2080 XC Hybrid Gaming
$797. 9 (Save $143)
|
| EVGA |
|
GeForce RTX 2080 |
| 99% Rating |
| Min | Rec |
|---|---|
| — | |
Comparison of Nvidia and Radeon
graphics cards
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GBPOU KLT
Comparison of NVIDIA and RADEON video cards
NIKITA ANDREYEVICH NADYMOV
YURY VASILIEVICH RADOSTEV
2020
video cards from two popular companies.
The purpose of my individual project on the topic «Comparison of
Nvidia and Radeon graphics cards» is to study and compare
video cards Nvidia and Radeon
To achieve my goal, I set myself
tasks:
Find information on the Internet; study the characteristics of
video cards.
Consider specific graphics cards for specific
purposes.
Determine the most profitable and popular video cards.
Compare
Specification0025 the image in the computer’s memory
into a video signal for the monitor.
Nvidia and Radeon are the manufacturers of
GPUs for graphics cards. And
manufacturers of ready-made solutions in the form of
video cards are companies that
assemble and complete their products with
Nvidia and Radeon chips (Asus, Gigabyte, MSI, etc.).
About 80% of the functionality of a video card is determined by the
graphics processor, as a result of
only 20% remains for video card manufacturers,
in order to stand out from other «twin circulations».
Types of video cards
Video cards come in two classes:
Gaming — for games and simple content creation
Professional — cards for professional use
.
Oddly enough, games require gaming video cards, there are a lot of them
. They differ in performance and
price.
Professional video cards designed for
use in applications requiring high precision and
reliability of visualization of complex graphic content,
as a rule — three-dimensional.
Simply put, they are intended
for the jobs of design engineers, architects,
scientists, and sometimes even animators and other people of visual art
.
For office, not complicated work, the video card built into the
processor is quite enough, this option will be cheap, and
is good for office tasks.
The golden mean
Let’s consider the «golden mean» for the price and quality of both
manufacturers at the moment. These are GeForce GTX 1660 and
Radeon RX 590. They are in the same price segment
and have approximately similar characteristics. However, the
Geforce GTX 1660 outperforms the Radeon RX 59 by
in benchmark performance.
Therefore, by paying a little extra for Nvidia, you get a
more productive video card than AMD.
Benchmark test
Nvidia wins in the 3d Mark benchmark test
Conclusion
While doing the Nvidia vs. AMD video card comparison project, I found out
which video card is more productive:
If you need a more productive and less power-consuming video card than
, then you should pay attention to Nvidia
, AMD is cheaper, but its
characteristics are slightly lower than those of Nvidia.
If you buy a video card for office tasks, then the power of a
video card is not so significant for you and you can get by with a processor with integrated graphics in
,
is enough for it.
English
Russian
Rules
we compare coding on graphics accelerators — Development on vc.ru
496
views
Video transcoding is a very resource-intensive task. Sometimes it is quite expensive to perform it at the expense of the CPU, and to save resources, graphics accelerators are used. This is especially true in OTT broadcasting, when there are many profiles per channel.
In this article, we will look at the main advantages and disadvantages of these solutions using the example of QuickSync technology from Intel and NVENC from Nvidia. It is interesting that formally being competitors in the field of coding, both companies develop in parallel and even cooperate in the production of new chips. nine0003
First, let’s decide on the graphics that we will compare.
We will consider only stable solutions for 24/7 work: in television broadcasting it is impossible otherwise. With Intel, it’s simple: take the latest generation of Coffee Lake Xeon processors with integrated Intel® UHD Graphics P630, the Intel® Xeon® E-2246G processor. With Nvidia, the choice of a video card for transcoding is a little more complicated. We chose the Quadro RTX 4000 (8GB) — this is the server counterpart of the GeForce RTX 2070 Super (8GB). Unlike RTX, it has no official restrictions on processing more than 3 threads at the same time. This limitation can be removed by installing the patch created by the craftsmen, but, as we have already noted, we will consider only proven and official solutions. Earlier versions of video cards were immediately dismissed: they lose when working with HEVC, since they do not have the ability to encode B-frames. nine0003
Now let’s select platforms with selected graphic solutions.
Maximum number of transcoded channels
So, let’s move on to the numbers.
Let’s perform a load test for the maximum possible number of transcoded channels (fastest mode) on one server.
In this comparison, Nvidia is twice as fast as Intel in AVC transcoding and almost as good in HEVC encoding.
Price for 1 channel including server costs
Now we know the maximum possible number of FHD channels (1920*1080) of resolution per server with integrated Intel graphics and Nvidia video card, which means we can calculate the price for 1 FHD channel.
It turns out that for AVC there is no difference in price. In the case of HEVC, Nvidia is much more expensive per channel per platform, if you calculate the maximum number of channels (that is, use the fastest encoding algorithms, sacrificing quality).
At this point, we will stop the calculations and move on to the issue of quality, since it will be much more honest to compare equally acceptable quality, and not obtained in fast modes. nine0003
Quality of the output stream compared to the original
Consider another important issue — the quality of video compression.
After all, there is no point in the number of channels if it is impossible to watch them.
Below is a quality comparison graph by PSNR metric: Intel AVC with original stream (blue line) / Nvidia AVC with original stream (red line).
Based on the graph, we see that the quality of the received streams is close in terms of the PSNR value. Let’s compare using VMAF metrics. nine0003
In the following graph, consider comparing Intel HEVC with original stream (blue line) / Nvidia HEVC with original stream (red line).
From the graph, we can see that our comparison was not entirely correct, since the maximum number of Nvidia encoded channels = 14, and their quality is almost 2 dB higher than 13 channels on Intel.
Therefore, we made a few more changes, and with the highest possible quality on Nvidia and on Intel in GAcc mode (GPU Accelerated — when encoding takes place not only on the graphics, but also the CPU is connected), we got the following result. Intel HEVC GAcc native stream (blue line) / Nvidia HEVC native stream (red line):
The encoding quality is almost the same, but the performance of both systems has dropped significantly.
Now Nvidia encoded only 4 FHD HEVC channels, and Intel only 2.
Let’s recalculate the price per channel based on the new data:
- 1500/2=750 for one transcoded HEVC channel on Intel;
- 3000/4=750 for one transcoded HEVC channel on Nvidia.
And, in fact, we got the same ratio for the price per channel as in the situation with AVC. nine0003
Energy consumption at equal load
Let’s look at another important issue when maintaining a working system: the power consumption of the platform. From our tests with the maximum load of platforms by transcoding, we got the following values.
- Platform consumption with Nvidia: about 200W.
- Platform consumption with Intel: Approximately 75W. Since there are 2 times fewer channels on Intel, we multiply the value by 2 — a total of about 150 watts. nine0155
It turns out that the platform with Nvidia consumes 50 watts more for an equally performed work.
Server rack space occupied
With large volumes of transcoded channels, the question of server placement often arises.
Intel provides special blade-server platforms, where one 3U server can fit from 8 to 14 blades (full-fledged servers, modified form factor). Up to 168 FHD AVC channels can be transcoded in one 3U platform. If you use not a blade server, but a regular rack server, then for such a number of channels you will need a height of 14U. nine0003
For Nvidia, this is a little more complicated: the cards themselves take up additional space in the platform. You can place 1 card per 1U server, then the space occupied by 168 FHD AVC channels will be 7U. You can place several video cards on one platform, which allows you to save on the price of platforms, but it is unlikely that you will be able to win a place: to place 2-3 cards, you will need a 3 or even 4U platform.
Solution of specific tasks
In addition to video transcoding, there are tasks such as video decoding for visual monitoring and encoding from an SDI/NDI capture card.
In such cases, the Intel solution is better suited: these tasks are often not voluminous, which means that it will not work to use all the resources of Nvidia. Even if you need to encode SDI, then most likely it will be several channels — it is difficult to find a project where you need to encode up to 24 signals. In addition, it is quite difficult to fit a PCI SDI capture card and a PCI video card into a 1U platform, you either need to choose a platform with a different height, or choose a platform with enough space for two cards, which is quite rare. nine0003
There is also a technical limitation. The decoding process is less expensive than transcoding, and in theory more than 24 FHD AVC channels can be visually monitored on Nvidia. In fact, the number of channels is limited to 8, since it is not possible to transfer more decoded (uncompressed) video over the PCI bus. With Intel, there is no such problem, since the graphics are built into the processor.
To be fair, Nvidia is more attractive for a high-definition UHD content transcoding solution because multi-profile transcoding can be deployed on a single card.
Intel, on the other hand, cannot transcode UHD content into several profiles on one graphics core, and it is necessary to enable a stream distribution system between servers — this solution is called distributed transcoding. nine0003
Terminals
After comparing the private case, the main advantages of both solutions can be identified.
Intel
- Occupies less server height due to the compactness of blade servers
- Less power consumption
- Ideal for video decoding and encoding
Nvidia
- Higher density encoding per graphics core
- You can save money by choosing the right graphics card and placing multiple graphics cards in the
platform
So, having compared the graphic solutions for all the parameters that are of interest to us, we can conclude that the solutions are close in terms of competitive characteristics and it is difficult to single out a favorite.