ASRock Brings Zen 2 NUC : 4X4 BOX-4800U Renoir Mini-PC Reviewed
by Ganesh T S on November 25, 2020 11:00 AM ESTMiscellaneous Performance Metrics
This section looks at some of the other commonly used benchmarks representative of the performance of specific real-world applications.
3D Rendering - CINEBENCH
We use CINEBENCH R23 for 3D rendering evaluation, but continue to present R15 results till we build up a database of R23 results. The R15 program provides three benchmark modes - OpenGL, single threaded and multi-threaded. Evaluation of different PC configurations in all three modes provided us the following results.
The 4X4 BOX-4800U is ahead of the Frost Canyon NUC across the board, though the single-threaded performance is quite close for this particular rendering workload.
x265 Benchmark
Next up, we have some video encoding benchmarks using x265 v2.8. The appropriate encoder executable is chosen based on the supported CPU features. In the first case, we encode 600 1080p YUV 4:2:0 frames into a 1080p30 HEVC Main-profile compatible video stream at 1 Mbps and record the average number of frames encoded per second.
Our second test case is 1200 4K YUV 4:2:0 frames getting encoded into a 4Kp60 HEVC Main10-profile video stream at 35 Mbps. The encoding FPS is recorded.
The workload is a perfect fit for parallelizing and executing across multiple cores, and the 4x4 BOX-4800U emerges as the comfortable leader, thanks to its octa-core nature.
7-Zip
7-Zip is a very effective and efficient compression program, often beating out OpenCL accelerated commercial programs in benchmarks even while using just the CPU power. 7-Zip has a benchmarking program that provides tons of details regarding the underlying CPU's efficiency. In this subsection, we are interested in the compression and decompression rates when utilizing all the available threads for the LZMA algorithm.
Compression and decompression can also be easily optimized for multi-core processors, and that is evident in the benchmark results above.
Cryptography Benchmarks
Cryptography has become an indispensable part of our interaction with computing systems. Almost all modern systems have some sort of hardware-acceleration for making cryptographic operations faster and more power efficient. In this sub-section, we look at two different real-world applications that may make use of this acceleration.
BitLocker is a Windows features that encrypts entire disk volumes. While drives that offer encryption capabilities are dealt with using that feature, most legacy systems and external drives have to use the host system implementation. Windows has no direct benchmark for BitLocker. However, we cooked up a BitLocker operation sequence to determine the adeptness of the system at handling BitLocker operations. We start off with a 2.5GB RAM drive in which a 2GB VHD (virtual hard disk) is created. This VHD is then mounted, and BitLocker is enabled on the volume. Once the BitLocker encryption process gets done, BitLocker is disabled. This triggers a decryption process. The times taken to complete the encryption and decryption are recorded. This process is repeated 25 times, and the average of the last 20 iterations is graphed below.
We see the Frost Canyon NUC providing faster encryption support compared to the 4X4 BOX-4800U.
Creation of secure archives is best done through the use of AES-256 as the encryption method while password protecting ZIP files. We re-use the benchmark mode of 7-Zip to determine the AES256-CBC encryption and decryption rates using pure software as well as AES-NI. Note that the 7-Zip benchmark uses a 48KB buffer for this purpose.
When it comes to password-protected archives, the 4X4 BOX-4800U comes out on top easily.
Yet another cryptography application is secure network communication. OpenSSL can take advantage of the acceleration provided by the host system to make operations faster. It also has a benchmark mode that can use varying buffer sizes. We recorded the processing rate for a 8KB buffer using the hardware-accelerated AES256-CBC-HAC-SHA1 feature.
Cryptography engines across all eight cores enable the 4X4 BOX-4800U to score much better than the hexa-core Frost Canyon NUC.
Agisoft Photoscan
Agisoft PhotoScan is a commercial program that converts 2D images into 3D point maps, meshes and textures. The program designers sent us a command line version in order to evaluate the efficiency of various systems that go under our review scanner. The command line version has two benchmark modes, one using the CPU and the other using both the CPU and GPU (via OpenCL). We present the results from our evaluation using the CPU mode only. The benchmark (v1.3) takes 84 photographs and does four stages of computation:
- Stage 1: Align Photographs (capable of OpenCL acceleration)
- Stage 2: Build Point Cloud (capable of OpenCL acceleration)
- Stage 3: Build Mesh
- Stage 4: Build Textures
We record the time taken for each stage. Since various elements of the software are single threaded, and others multithreaded, it is interesting to record the effects of CPU generations, speeds, number of cores, and DRAM parameters using this software.
The 4X4 BOX-4800U scores better in three of the four stages, with the third stage seeing the Frost Canyon NUC edge ahead by less than 15 seconds. Overall, the advantage lies with the Renoir system.
Dolphin Emulator
Wrapping up our application benchmark numbers is the new Dolphin Emulator (v5) benchmark mode results. This is again a test of the CPU capabilities.
The emulator is bottlenecked by single-threaded performance, and the Frost Canyon NUC is able to outwit the 4X4 BOX-4800U for this workload.
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redwingsbb - Saturday, November 28, 2020 - link
I don't think spikebike was saying that they would wait 2 years to buy I think they were saying it would be interesting to wait until CES in a couple of months to see whether there could be Zen 3 based NUC coming out in the next few months which in their opinion would be a big enough upgrade over a Ryzen 4000 based NUC to last them a full year or two longer.ifThenError - Monday, November 30, 2020 - link
You are very right, Zen3 in a small form factor would be a formidable plattform for many use cases. I'd happily swap my old box for such a device.Unfortunately I wouldn't expect this to happen anytime soon. Currently there is no such thing as a Zen3 based APU. The Zen2 based Renoir has just been released and still seems to have limited availability. It is more than a year behind the desktop and server Zen2 chips. Even if a Zen3 mobile chip was anounced in January, we would probably still be at least a year away from any SFF using it.
Looks like the devices from Asus and ASRock are your best bet, or you need a lot of patience.
Valantar - Thursday, November 26, 2020 - link
Pretty damn impressive seeing this hit above 1300 in Time Spy and nearly 14000 in night raid. My ITX 4650G with the iGPU@2100, RAM @3800c16 and IF@1900 hits >1600 TS and >17000 NR, but that also consumes ~100W from the wall. With this sitting in the 50s of watts except for initial spikes, that's very good performance for the tiny power draw.Really looking forward to how boxes like this evolve with DDR5.
Oh, and the dual NICs are brilliant. The 4350G version of this would make for a great PFSense box.
DanaGoyette - Thursday, November 26, 2020 - link
Realtek Virtual IPMI, on the Platform Analysis page....huh, does this have out-of-band management capabilities? If so, it could be useful as a server.
ganeshts - Thursday, November 26, 2020 - link
Yes, the 1G port has Realtek DASH enabled. I am actually investigating that feature right now (couldn't complete it in time for publishing the review), but information / guides are hard to come by. Realtek's own software that talks to DASH clients is a mess / very user unfriendly.watersb - Saturday, December 19, 2020 - link
And here (for reference) is the DASH overview article. Excellent!https://www.anandtech.com/show/16319/asrock-4x4-bo...
zakelwe - Friday, November 27, 2020 - link
Who cares about this? Where are the graphics card reviews from Amd and nVidia ?abufrejoval - Friday, November 27, 2020 - link
I had ordered the PN50 in summer with the Ryzen 4800U when a major EU retailer promised only 2-3 days deliver delays. Alas, the only thing that moved was the delivery delay, which increased and wound up as unknown. The Ryzen 4800U SoCs requires perfectly binned Renoir chips and those are likely to remain rare even while they are being replaced by 5800U chips (eve more attractive and harder to get?).I had to resort to team blue, which has some advantages in my KVM live-migration scenarios and could become especially interesting: if I can get Thunderbolt 40Gbit networking to work, I’d use that for the cluster/gluster interconnect and switch the USB 2.5Gbit NICs to the front-end. ASRock is doing the right thing here, I wish 2.5Gbit had long since become default everywhere, especially since I can’t believe Realtek charges more than a few cents extra for the speed uplift.
In the mean-time I’d just like to report that the NUC8i7BEH has had its price reduced to around €300 including EU VAT, while the BXNUC10I7FNH currently goes for €450. That comes down to €75/core and pretty much to core/€ parity with the 4800H at €600, which is why I got one of each in the end. Their combined idle power may actually not be higher than the AMD unit, while peak heat and noise are very well managed via OS independent BIOS settings on Intel NUCs these days.
The Bean Canyon’s Iris 655 iGPU main advantage is that it doesn’t cost one cent extra vs the ordinary i7-10700U UHD630, just as the 128MB eDRAM are given away for free and that L4 cache does at least deliver measurable performance advantages to the CPU, even if they aren’t noticeable. Both give an i7-7700K a run for its money on bursty desktop/server workloads, but less so as members of a render or compile farm.
While I’ll use both pretty much only for CentOS/oVirt, I did test them intensively on Windows with all sorts of graphics loads. AT basically infected me with curiosity about these larger Iris iGPUs years ago. 3DMark Night Raid at 1920x1080 IMHO shows their basic potential and why Apple used them as their main staple for a while, but the most impressive demo remains Google Maps with their AI created 3D view in Chrome (much slower in Firefox, unfortunately), which not only runs smoother on my 4k display, than Microsoft’s 2020 FlightSim on my RTX 2080ti/Ryzen 7 5800X game rig, but actually reflects what’s on the ground. FlightSim resorts to pure parametric random algorithms, which create ground structures and traffic patterns that not only carry no resemblance with ground truth, but don’t make sense, even at propeller speeds.
While I would probably still rationally prefer NUC innards as Mini-ITX boards for better options on cooling and general modularity, I’ve come to appreciate those NUCs mostly because the chassis and power supply come basically for free and at excellent build quality, while expansion on mobile SoCs is mostly external anyway.
Gadgety - Saturday, November 28, 2020 - link
Nothing on physical size or noise?Gadgety - Saturday, November 28, 2020 - link
110.0 x 117.5 x 47.85mm