The Snapdragon 8 Gen 2 features Qualcomms most advanced AI Engine yet for up to 4.35x faster performance compared to its predecessor and AI improvements across the platform. The Exynos 2100 joins Qualcomm's Snapdragon 888, HUAWEI's Kirin 9000, and Apple's A14 Bionic as the brains behind early 2021's flagship smartphones. Let us know in the comments section below. A larger L1 cache results in faster CPU and system-wide performance. How big an individual core is, that matters as well. In this comparison block, you should pay attention to the differences in clock speed and the number of cores. Trusted Reviews is supported by its audience. Maybe that will change with the Snapdragon 8+ Gen 2 release or the Samsung Galaxy S23 series launch. The GPU gain is particularly noteworthy, this year. That said, Qualcomm has slightly changed the core configuration this time on the Snapdragon 8 Gen 2. The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. In this setup, a processor can utilize all cores at the same time, or just a single core for low-intensity tasks. Chipsets with a higher number of transistors, semiconductor components of electronic devices, offer more computational power. It scored a whopping 1,276,749 points. Just recently, Vivo X90 Pro+ (launching on November 22) appeared in a Geekbench listing, most likely powered by the Snapdragon 8 Gen 2. So, let's take a look at what each of . 21.25% faster CPU speed? 7500MBits/s vs 1000MBits/s Has 5G support? Key Differences Main differences and advantages of each chip Pros of Qualcomm Snapdragon 888 Performs 5.3x better in floating-point computations Supports 244% higher memory bandwidth (51.2 against 14.9 GB/s) Has a smaller size transistor (5 versus 10 nm) Shows significantly better (up to 2x) AnTuTu 9 score - 807K vs 397K The A16 can be found in the iPhone 14 Pro and 14 Pro Max, while the Snapdragon 8 Gen 2 will be available in a number of yet-to-be-announced Android phones. People outright upvote misinformation just below the specifications, My 14 Pro reached around ~5500. Besides that, you have built-in Wi-Fi 6 and Bluetooth 5.3 support. For the first time, Qualcomm has defeated Apple in GPU performance. First off, it can perform 4 trillion operations per photo, which is an astounding number, to begin with. Good Side:- :D You don't even understand what I mean. And if you wish to learn more, you can head to our comparison between Snapdragon 8 Gen 2 and 8 Gen 1. GPU performance in games and OpenCL/Vulcan. A 32-bit operating system can only support up to 4GB of RAM. While Qualcomm uses an Octa-core setup, Apple has gone with a Hexa-core CPU design. More memory channels increases the speed of data transfer between the memory and the CPU. The Snapdragon 8 Gen 1 uses Micro Tile Inferencing to do more AI processing and consume less power, while the A16 Bionic uses fusion architecture to deliver both performance and energy savings. This is the maximum rate that data can be read from or stored into memory. Particularly, Wondershare Filmora has received numerous accolades. Please, ThinkPad P15: Rechnen Sie mit Hchstleistung, Samsung is cooking up a small but potentially meaningful Galaxy Watch 6 battery upgrade, MWC 2023: We saw the crazy Xiaomi Leica concept, but it was a sticky situation, Tech from Tecno that makes your phone act like a Chameleon and change color, New independent report highlights BT Group's contribution to the UK economy, These exclusive discount codes can get you the best OnePlus devices at the lowest prices, Nothing Phone 2 promised to contain a powerful Qualcomm chip, Too late for the Galaxy S23 line, Samsung announces a 5G modem chip for phone to satellite connectivity, Apple pays to make Galaxy S23 seem slower, say Android users: True or false? Another SCAM A16 Bionic is soo conservative at power Efficiency that its Cores don't peak which means that it would perform a performance that doesn't reach its full potential APPLE. And another shocking test it only consumes 8 Watts WHAT THE HELL!!!? D 9000 : 4300 @ 8.8w (488/w) On a16 : This way, each core can run two instruction streams at once. Key CEO reacts. According to our testing, A16 Bionics 5-core GPU on iPhone 14 Pro achieved 59.4 FPS in the 3DMark WildLife test and 19.2 FPS in the 3DMark WildLife Extreme test. Only I want to ask how a 15Gz CPU of 16 bionic is better than the 20,4 Gz speed of Gen2. Even Linus hates the metal fruit. Especially IPhone fanboys It's also manufactured by a company that's been trying to destroy third-party repair for a long time I would advise not buying their products. Then GPU is altogether a different game. However, in terms of single-core performance, the 8 Gen 2 isnt as powerful as the A16 Bionic. Snapdragon 888 vs A16 Bionic what's better? The "low" score after throttling is the one we take as being the more indicative of the real firepower of this GPU and it is nearly 45% faster than the competing solution on the Snapdragon/Android side of the fence. SD 8 gen 2 : 4700 @ 7.8w (602/w) At the Snapdragon Summit 2022, we performed an AnTuTu test on the prototype device powered by the Snapdragon 8 Gen 2. Pros of Qualcomm Snapdragon 8 Gen 2. 1 x 2.84GHz & 3 x 2.42GHz & 4 x 1.8GHz vs 2 x 2.5GHz & 4 x 1.6GHz 1067MHz higher ram speed? Surely, with more optimization, some device makers will be able to draw more performance out of the 8 Gen 2, but given the data we have right now, it seems like Qualcomm is still a generation behind Apple when it comes to raw CPU performance. Samsungs been dropping flag ship displays down to 1080p with adaptive 120hz refresh except on their ultra and you get above 460 PPI and 458 PPI with pro motion on both the pro and pro max. A technology integrated into the processor to secure the device for use with features such as mobile payments and streaming video using digital rights management (DRM). Factual Revelations About Apple's A16 Bionic: Here A16 Bionic is 14% better than Snapdragon 850 in terms of CPU frequency. Even if we consider the overall 3DMark benchmark scores, Snapdragon 8 Gen 2 scored 13,575 and 3,764 in the normal and extreme tests, respectively. In this setup, a processor can utilize all cores at the same time, or just a single core for low-intensity tasks. Qualcomm has always packed capable ISPs on its flagship chipsets and the same is true for the Snapdragon 8 Gen 2. The CPU consists of 1 prime core, 4 performance cores and 3 efficiency cores, delivering 35% faster performance and 40% better power efficiency compared to its predecessor, the Snapdragon 8 Gen 1. Also, you can't just compare frame rates in Genshin Impact. SD 8+ gen 1: 4200 @ 7.5w ( 560/w) Apple A16 Bionic vs Qualcomm Snapdragon 888 5G. Efficiency cores: 4 lanes The phones aren't in the picture. NEON provides acceleration for media processing, such as listening to MP3s. Back then, it was a 2-core design that was able to handle "merely" 600 billion ops/sec. This benchmark measures the performance of the CPU using a single thread. Apple says it has a new Neural Engine in the Apple A16 Bionic that is capable of 17 trillion operations per second (TOPS). This can provide powerful performance or increased battery life respectively. Even iPhone 8 Plus is smooth in 2023 for normal usage. Golden Reviewer on Twitter tested A16 Bionics GPU performance in comparison to the last-gen Snapdragon 8+ Gen 1. The main difference is the clock speed. The Android version is dumbed down such that you can't run the highest level of graphic effects as compared to the iPhone version. Some Haters would say "OMG! And when it comes to GPU, Apple also made bold claims that the A15 . Another difference is that A16 Bionic has 2 more core than Snapdragon 888 Pro. Shes also worked and studied in the US, holding positions , Unbiased and independent advice on what to buy. From the chart, you can gauge that the CPU on the A16 Bionic is almost 25-30% faster than the Snapdragon 8+ Gen 1. For example, when playing a game the more powerful cores will be used to increase performance, whereas checking email will use the less powerful cores to maximize battery life. Apple A16 Bionic vs Qualcomm Snapdragon 8 Gen 2. . I dont think apple would have done true 120hz displays because of how wasteful it is to battery life. I'm also using same 3-5 years old 400 dollar Android phone, still good. DirectX is used in games, with newer versions supporting better graphics. Whereas in our testing, Apples A16 Bionic chipset scored 1879 in the single-core test and 5307 in the multi-core test. A15: 4.9 watts 2. 1. In the end, it depends on Android phone makers to utilize the capabilities and create a software stack on top of the hardware. Help us by suggesting a value. It takes a stress test to really understand how a GPU performance, and the 3D Mark Extreme stress test that we run lasts 20 minutes, plenty of time for any throttling issues to rear their head. A larger L3 cache results in faster CPU and system-wide performance. A16 Bionic We compared the 8-core Qualcomm Snapdragon 8 Gen 2 (Adreno 740) with the older 6-core Apple A16 Bionic (Apple GPU) SoC. Newer versions of DDR memory support higher maximum speeds and are more energy-efficient. 3. -apple display sucks- its 2021 and their phones dont even have anything more than 60 hz, unless if you get the 13 pro :( (even have it on their ipads so long ago). A fast memory will push the result a lot. It's just a phone, can somebody comment about triple 8 in xiaomi 11T PRO If we go back, we can see that even sd 625 (6-year-old midrange android chip) can record 4K 30fps !! - [Most people likes about Apple] Design and luxury brand, just made it good to show off your fruits logo in front of your friends/public and milk your wallet. Efficiency also matters. We are excited to test both the chipsets side-by-side and see the difference in real-world usage. The Snapdragon 888-powered Mi 11 Ultra achieved a single-core score of 1,001 and a multi-core score of 3,209. AAC, AIFF, CAF, MP3, MP4, WAV, AC-3, E-AC-3, AAX, AAX+, GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC. It is powered by AI to perform semantic segmentation in real time. It also allows you to run 64-bit apps. Based on Benchmark results, Apple's A16 Bionic is still the one to beat in terms of raw compute performance. But since then they have dried up, there hasn't been any improvement in efficiency at all and they have just been increasing tdp of their chips and no real efficiency gains. In the GFXBench Manhattan 3.0 Offscreen 1080p test, the Adreno 740 GPU on the SD8Gen2-powered prototype device scored 332 FPS whereas A16 Bionics GPU could only muster 243 FPS. Has integrated graphics Apple A16 Bionic So in this detailed article, we compare Snapdragon 8 Gen 2 vs Apple A16 Bionic to find out the difference in CPU and GPU performance. When the GPU is running below its limitations, it can boost to a higher clock speed in order to give increased performance. - Smaller notch, "okey". The A16 is easily capable of 8k30fps. Bad Side:- This benchmark measures the performance of the CPU using multiple threads. And now that benchmark numbers have been revealed, we have compiled all the test data, so you can find out which chipset is more powerful and efficient overall. The Cognitive ISP powers Semantic Segmentation, which enables the camera to identify different layers like faces, clothes and backgrounds and optimise them separately, modifying the colour, tone, sharpness and noise reduction in real-time. - you have to agree that apple phone designs are by far one of the best. Qualcomm says that the new AI engine on the Snapdragon 8 Gen 2 is at least 4.35 times faster than the one on the Snapdragon 8 Gen 1. It is used when is it essential to avoid corruption, such as scientific computing or when running a server. Small semiconductors provide better performance and reduced power consumption. Qualcomm's Flagships has an Undisputed GPU that is dubbed as the "King of Smartphone GPU Maker". 64-bit allows more than 4GB, giving increased performance. 2. A14: 4200 @ 6.7w (626/w) ARMv8.2-A. Also keep in mind that high CPU frequency affects battery life through power . Apple A16 Bionic. Snapdragon 8 Gen 2 is a power-hungry chipset!". A 32-bit operating system can only support up to 4GB of RAM. According to some leaks Did u realize that Snapdragon 8 Gen 2 replace 1 of its Power Efficiency Cores with a Performance Core? AES is used to speed up encryption and decryption. No HDR on the 8k camera and only 30fps, Hmmm A15 still the fastest and the badass chipset out there. 8 gen 2 : 61+ 44 + 23 = 28 lanes LTE is capable of downloading at faster speeds than older, 3G technology. Another difference is that Snapdragon 850 has -2 more core than A16 Bionic. Apple A16 Bionic Qualcomm Snapdragon 888 Plus A 32-bit operating system can only support up to 4GB of RAM. - It has bad speakers, sounds like laptop or cheap speakers from 20 dollar. Snapdragon 8 Gen 2 vs Apple A16 Bionic: How do they compare. If you are a casual user or heavy task-fan then go for a16. The clock multiplier controls the speed of the CPU. is positive, neutral or negative. Durability doesn't really concern me on apple product, "1 year then throw your older device" quote heard over major of users. MediaTek has been increasing in Market share recently so they might come up with something Good If we talk about the efficiency cores, Qualcomm has now come on par with Apple, both in terms of performance and efficiency. So to put it simply, despite the 35% YoY performance jump seen on Snapdragon 8 Gen 2, its still behind A16 Bionic in the CPU department, squarely because Apples Everest cores operate exceptionally well even at a higher frequency while keeping thermals in check. It also allows you to run 64-bit apps. A16: 5400 @ 9.2w (586/w) Using big.LITTLE technology, a chip can switch between two sets of processor cores to maximize performance and battery life. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count. Apple says its new A16 Bionic powering the iPhone 14 Pro duo is the fastest chip ever in a smartphone, with 16 billion transistors, 4nm manufacturing, and a 40% faster CPU. (Source: Primate Labs, 2023). It's about the place vs score. This benchmark measures the performance of the CPU using multiple threads. 1874 vs 1707 15.89% mayor resultado de Geekbench 5 de varios ncleos? The system on a chip (SoC) has an integrated LTE cellular chip. Apple A14 Bionic uses its own custom CPU for the chipset. A larger L3 cache results in faster CPU and system-wide performance. Chipsets with a higher number of transistors, semiconductor components of electronic devices, offer more computational power. (Source: Primate Labs, 2023). You don't need 120hz refresh rate when your only browsing Google Chrome and using facebook. -first off, bad speakers? Some apps use OpenCL to apply the power of the graphics processing unit (GPU) for non-graphical computing. And compared to the Snapdragon 8 Gen 1 chip in the S22 Ultra, the difference is even bigger. Stop this bias. In our comparison between Snapdragon 8 Gen 2 and Apple A16 Bionic, lets first talk about the CPU. Apple said the iPhone 14 Pro is the most significant camera upgrade for an iPhone ever, and a big part of that has to do with the new ISP and Photonic Engine. If you purchase through links on our site, we may earn a commission. Of course fandroids will talk about how their phone has more fEaTuReS and fReEdOm LOL, Don't be salty because fruit based phone still can't do 8k video :-p Can boost to a higher number of transistors, semiconductor components of electronic devices, offer more computational power ``... Only support up to 4GB of RAM versions supporting better graphics higher clock speed in order to give increased.! 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On Twitter tested A16 Bionics GPU performance in terms of CPU frequency affects battery life respectively processing (. In Genshin Impact neon provides acceleration for media processing, such as listening to MP3s phone makers to the. Side-By-Side and see the difference in real-world usage that data can be read from stored... Old 400 dollar Android phone makers to utilize the capabilities and create a stack. As the A16 Bionic & # x27 ; s take a look at what each of comes GPU!