3.2.1.41 (1.0.22.0 Microsoft Store version) – Add the “RAID” marker for the software mode RAID disks
3.2.1.30 (1.0.18.0 Microsoft Store version) – Support disk speed test to test the performance of SSD/HDD
The disk test has two modes: quick test and detailed test.
Quick test only tests the disk sequential read and write speed to let you know the difference of actual disk speed compared to the nominal speed in the specification and the performance when copying large files from one place to another.
Detailed test tests 4K random read and write speed additionally to let you know the disk performance when running applications (e.g video games) or system startup.
Disk score = (Sequential read + Sequential write)/2 + (4K random read + 4K random write)/2
3.2.1.13 – Support sign in with Nero Account and submits the score with your nickname.
3.2.1.10 – Removed the initialization time for AVC encoding and decoding tests to provide more accurate scores
3.2.1.2 – Added the Metaverse test to benchmark the 3D rendering frame rate of the GPU
Nero Score = (CPU score + GPU score)/2
CPU score = (CPU AI + CPU AVC)/2
GPU score = (GPU 3D + GPU AVC)/2
3.0.1.20 – Added AVC decoding/encoding test for GPU and CPU
Nero Score = (CPU score + GPU score)/2
CPU score = (CPU AI + CPU AVC) / 2
GPU score = GPU AVC
1.0.0.00 – Initial version with CPU-based AI inference test for photo tagging
The metaverse is a shared virtual 3D world, or worlds, that are interactive, immersive, and collaborative. Just as the physical universe is a collection of worlds that are connected in space, the metaverse can be thought of as a bunch of worlds, too. People call metaverse the next iteration of the internet—one that we relate to not just by photos and videos and text, but by touch and interaction between elements rendered in Virtual or Augmented Reality that emulate real-world situations. If social media has been an important communication tool, then the “metaverse” could be the next frontier of connectivity and interaction.
Nero Score Metaverse Benchmark
Outstanding 3D real-time rendering capabilities will bring you a more immersive digital experience and bring us one step closer to the metaverse.
Nero Score now adds a new test unit for measuring the performance of 3D real-time rendering on graphics cards.
The GPU metaverse benchmark measures how many frames per second a 3D asset can be rendered on a given GPU. The results of this test will allow you to compare the scores of different GPUs in this domain. You can also compare the different performances that may exist between the AVC solution and the Metaverse solution on the same graphics card.
If your system has two graphics cards, do you know how much better your independent graphic card will be than your dedicated graphic card when decoding or encoding AVC video files?
Previously, when Nero Score ran the AVC GPU test, it automatically picked the major graphic card from current system. Now you can choose which graphic card you want to do the AVC Decoding & Encoding test for before you start the test.
Get Nero Score latest version from Nero Start or score.nero.com.
Nero Score is a free tool which measures your processor’s (CPU) multi-core power and is pushing your graphics card (GPU) to it’s maximum limit with real world multimedia use cases.
Nero Score is used by journalists to review hardware, hardware manufacturers to optimize their latest products, as well as computer owners to evaluate their individual system to make purchase decisions.
WHAT KIND OF BENCHMARKS ARE INCLUDED IN NERO SCORE?
The initial version of Nero Score includes an CPU AI benchmark and measures how many pictures per second can be processed with artificial intelligence on the given CPU. So this in not about training an model, but actually applying a trained model on data (called inference). The outcome of this test will let you compare how different CPUs score in this domain. The result can be 1:1 matched with CPU-based AI inference solution, like e.g. Nero AI Photo Tagger. The data set for this test includes 50 pictures that will be inferred 3 times each. The format and size of the pictures doesn’t matter for this test as the AI inference only needs an input of 299×299 pixels in size anyway.
WHAT KIND OF TESTS WILL BE NEXT IN NERO SCORE?
The roadmap for Nero Score foresees an extension into further multi-media related use cases utilizing CPU and multiple GPUs e.g. video encoding, 3D rendering.
HOW IS THE SCORE CALCULATED?
Nero is fully transparency on the calculation of the actual score. Each of the tests executed within Nero Score will generate a score of it’s own. For example: The CPU AI benchmark measures how many pictures are processed per second. This number is multiplied by a factor of 25 to generate the score for this specific test. So there is a 1:1 relation between the score and the performance of the CPU for the given task. A PC with twice the score will be twice as fast.
As soon as there are more tests a total score will be calculated from the single results and the simple formula for this calculation will be made transparent, too. Over time there might be changes on how the score is calculated, those will be called out and documented with revisions to ensure that results are always reproducible and comparable.
HOW CAN I CHECK MORE REAL-WORLD PERFORMANCE DATA?
score.nero.com will list all performance data which submitted by customers. Try Nero Score on your PC now, to see how your PC performs.
WHAT SHOULD BE CONSIDERED BEFORE/WHILE RUNNING A TEST?
Laptops should be connected to a power supply.
The high performance power plan should be selected on any device.
All open applications should be closed.
No user activity should be done in the foreground.
Background activity should be avoided e.g. no virus scans, software update downloads, cloud uploads.
WHICH KIND OF PLATFORMS ARE SUPPORTED BY NERO SCORE?
At the moment Nero Score is supporting Windows 10 64-Bit exclusively.
ARE THERE COMMAND LINE OPTIONS AVAILABLE?
Yes, for example “C:\Program Files (x86)\Nero\Nero Apps\Nero Score\NeroScore.exe” runtimes:50 stoptime:3 logfile:1 will executed the current test 50 times with a pause of 3 seconds in between and create a log file in %temp%\NeroScore (so inside he current users system temp folder).
runtimes: number of times the test should be run
stoptime: time between the runs in seconds
logfile: defines if a log file should be generated 1 = yes / 0 = no
logfilepath: alternative path for the log file e.g. “E:” or “D:\Score”
autoexit: defines if the application should exit after all tests are done 1 =yes / 0 = no
language: use any of the above 4 letter codes to define the application language manually (e.g. es-ES)
exepath: runs a specific application on exit (e.g. “C:\WINDOWS\system32\notepad.exe”)
