OnePlus Nord PUBG Test [ Full Gaming Review ]

Опубликовано: 04 Август 2020
на канале: Jagrat Sharma

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Every OnePlus smartphone since the 2014 OnePlus One has featured a flagship Qualcomm Snapdragon 800 series chipset. The use of Qualcomm’s latest silicon has been integral to OnePlus’ marketing, as is evident from the slogans that OnePlus chose for the OnePlus 6 (“The Speed You Need”), the OnePlus 6T (“Unlock The Speed”), the OnePlus 6T McLaren Edition (“Salute to Speed”), the OnePlus 7 (“Go Beyond Speed”), and the OnePlus 8 (“Lead With Speed.”) From a performance standpoint, OnePlus has never deviated from its ‘Never Settle’ mantra. However, with the new OnePlus Nord, the company is using Qualcomm’s mid-range Snapdragon 765G SoC rather than the flagship Snapdragon 865. The Nord is OnePlus’ first mid-range smartphone since the 2015 OnePlus X, and it’s also the company’s first device to not use a Snapdragon 800 series chip.

Based on the spec sheet, one might argue that OnePlus is compromising on performance to deliver a lower price, which is something they haven’t done in years. Long-time fans of the OnePlus brand, though, will say “finally!” With the OnePlus Nord, OnePlus is returning to its roots with a more affordable smartphone. While the Nord doesn’t offer flagship specs, it does offer “flagship killer” specs at a “flagship killer” price. OnePlus has Settled, and I’m okay with that. Here’s my review of the new OnePlus Nord that explains why.

While the OnePlus Nord’s Adreno 620 GPU is outclassed by the GPU of most flagship smartphones on the market, it’s still more than capable of handling most Android games. In PUBG Mobile, I was able to maintain a nearly perfect 30fps in the HD quality setting (HDR and Ultra HD were not available for me.) The Median Absolute Deviation* during my ~20 minute PUBG Mobile match was 0.2 fps, suggesting near impeccable fps stability.
Moving over to more CPU-intensive gaming, I tested two different game console emulators: Dolphin Emulator and Citra Emulator. In Dolphin Emulator, I played about 20 minutes of The Legend of Zelda: Twilight Princess starting from initially taking control of Link to getting the slingshot in Ordon Village. The FPS spikes in the chart can be attributed to loading screens, with most of the actual gameplay hitting the target 30fps. There were a few gameplay-related dips, such as when the camera zooms out while climbing or calling a hawk. Overall, though, the Median Absolute Deviation* of 0.7fps shows that the OnePlus Nord and its Qualcomm Snapdragon 765G are more than capable of Nintendo GameCube emulation. As for Nintendo 3DS emulation, I played about 24 minutes of The Legend of Zelda: Majora’s Mask, starting from a save point I made after first entering Clock Town and then playing until I retrieved the Ocarina of Time from the Skull Kid. There were a bit more frame rate drops in Citra, which is to be expected since the emulator’s first official version was only recently uploaded to Google Play and the game had to generate shader caches on the fly while loading new models. Still, the game was more than playable, with a MAD* of only 2.7fps.
*We calculate MAD (Median Absolute Deviation) to replace Variance. Why? For different FPS ranges (i.e. 60 FPS vs. 144Hz games), Variance becomes less intuitive. The formula for Variance has errors (distances of samples from sample mean) grow quadratically, so for 144Hz games, the sum of errors quickly explode. Our MAD statistic is much simpler: We calculate the collection of absolute errors from the mean (not median, for our case), then grab the median of the collection. In the context of games, we can interpret this as “the middling value of all the FPS fluctuations”. As a quick example, if we have a sample of [49, 60, 51, 52, 60, 60, 59], the sample mean is 58.5. So the absolute errors become [9.5, 1.5, 7.5, 6.5, 1.5, 1.5, 0.5], and the median of that collection, our MAD value, is 1.5. This means that our game is running at 58.5 FPS on average, and half of frame fluctuations are equal to or lower than 1.5. Since the mean FPS in our samples is typically super close to the target FPS, then MAD gives us an approximate idea of what most framedrops look like.

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