Google Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: It’s No Longer About the CPU

Google’s first-gen in-house silicon, Google Tensor, was launched earlier final yr with the Pixel 6 sequence launch. Now, after nearly a yr, Google has unveiled the Google Tensor G2 chipset with the Pixel 7 sequence. The second-gen Google silicon is meant to convey marginal enhancements in CPU efficiency and important positive aspects within the GPU division. Nevertheless, how effectively does the Google Tensor G2 stack up towards the Qualcomm Snapdragon 8+ Gen 1 and Apple’s A16 Bionic? To seek out the reply, undergo our comparability between the Google Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic. We have now mentioned CPU, GPU, TPU (AI and ML), ISP, 5G modem, benchmark numbers, and extra.

Google Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: An In-depth Comparability (2022)

On this comparability between the Google Tensor G2, Snapdragon 8+ Gen 1, and A16 Bionic, now we have analyzed the CPU structure, GPU efficiency, benchmark numbers, and extra.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: Specs

Right here, now we have talked about the detailed specs sheet for the Google Tensor G2, Snapdragon 8+ Gen 1, and A16 Bionic chipset. Look over it to get a tough thought about all three processors.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: CPU

Starting with the CPU, the Google Tensor G2 has not seen any important adjustments in comparison with Google’s first in-house chipset, the OG Google Tensor. The CPU structure is similar as final yr’s SoC, which incorporates two Cortex-X1 cores, two Cortex-A78 cores (changed A76), and 4 Cortex-A55 cores. The one distinction with Tensor G2 is that the ARM Cortex-X1 core is clocked barely increased at 2.85GHz as an alternative of two.80GHz and the Cortex-A78 core is clocked at 2.35GHz.

Furthermore, the brand new Tensor G2 chip is developed on Samsung’s 5nm course of node, which is similar as final yr, Google confirmed to Android Authority. Be aware that Tensor G2 isn’t developed on the identical 4nm course of as its counterparts. And we already know that the primary Tensor chip was not acquired effectively and noticed quite a few points, together with thermal throttling, heating, and sub-par battery life. So we must be skeptical about battery life and heating points on the Pixel 7 sequence, which we are able to solely verify after testing the cellphone extensively so keep tuned with us.

In tandem, you’re getting nearly an similar CPU on the Google Tensor G2, and the benchmark outcomes (extra on this under) additionally replicate the identical development. You don’t get the newer and improved Cortex-X2, A715, A710, or A510 core, which is sort of disappointing.

If you happen to examine Google Tensor G2’s CPU with Snapdragon 8+ Gen 1 and A16 Bionic, effectively, it doesn’t maintain up in any respect. The SD 8+ Gen 1 packs the brand new Cortex-X2 core, which is clocked significantly increased at 3.2GHz. Aside from that, there are three A710 and 4 A510 cores, that are clocked at 2.5GHz and 1.8GHz respectively.

Apple’s A16 Bionic chipset, however, is altogether on one other stage. As a substitute of an octa-core structure, it goes for a hexa-core cluster with two high-performance cores (“Everest” clocked at 3.46GHz) and 4 high-efficiency cores (“Sawtooth” clocked at 2.02GHz). Merely put, by way of CPU efficiency, the Tensor G2 SoC is nowhere nearer to both Qualcomm or Apple’s providing.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: GPU

Coming to the GPU, Google has certainly packed a newer and extra power-efficient 7-core Mali G710 MP7 GPU on the Google Tensor G2. It’s stated to convey a 20% efficiency enchancment over the Mali G78 GPU utilized in final yr’s Tensor chipset. On the similar time, it consumes 20% much less power, which is nice for thermal effectivity.

Hopefully, with the Tensor G2, we are going to see much less thermal throttling, higher warmth dissipation, and sustained graphics efficiency on the brand new Pixel 7 sequence. Moreover that, the GPU additionally affords 35% higher efficiency in machine studying in comparison with the Mali G78 GPU.

Be aware that the Mali G710 GPU could be configured ranging from 7 to 16 cores, however Google has packed solely 7 cores on the Tensor G2, maybe to maintain thermal effectivity in verify. To your info, different cellphone producers like Xiaomi and Asus have gone with a 10-core Mali-G710 MC10 setup.

Evaluating the 7-core Mali G710 GPU on the Google Tensor G2 towards Qualcomm and Apple’s choices, effectively, Google is once more trailing behind. By way of energy effectivity, the Mali G710 GPU is unquestionably more power-efficient than Snapdragon 8 Gen 1’s Adreno 730 GPU and comes near A16 Bionic. Nevertheless, because of the decrease cores used on the Tensor G2, it may’t compete with both Qualcomm or Apple’s GPU. To offer some perspective, the 10-core Mali G710 GPU scored round 160FPS within the GFXBench check, whereas Snapdragon 8 Gen 1 scored 175FPS and A15 Bionic peaked at 180FPS.

A minimum of with the 10-core GPU, Google may have put up an honest battle towards SD8+ Gen 1 and A16 Bionic. However it looks like Google is taking part in secure and doesn’t need any type of heating points on the Pixel 7 sequence. To sum up, the GPU on the Tensor G2 is sort of power-efficient and highly effective, however resulting from decrease cores, Google loses out to Qualcomm and Apple.

Adreno 730 GPU has not seen main efficiency enchancment on the Snapdragon 8+ Gen 1 over the 8 Gen 1, apart from energy effectivity enhancements. And the 5-core GPU on A16 Bionic can be the identical as A15 Bionic, apart from extra reminiscence bandwidth. In tandem, if Google selected to go together with a increased 16-core GPU, it’s going to beat the GPU on the Snapdragon 8+ Gen 1 and will rival A15 Bionic’s GPU.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: Geekbench and AnTuTu Benchmark Numbers

Speaking about benchmark numbers of Google Tensor G2, Snapdragon 8+ Gen 1, and A16 Bionic, let’s start with Geekbench single-core and multi-core CPU exams. As you possibly can see right here, the CPU on the Google Tensor G2 is marginally higher than final yr’s Google Tensor (2021). And when put next with Snapdragon 8+ Gen 1 and A16 Bionic, it’s miles behind. The truth is, the Google Tensor G2 is near Snapdragon 888+ by way of CPU efficiency.

If we go by the recently leaked AnTuTu rating of Google Tensor G2, Snapdragon 8+ Gen 1, and A16 Bionic, Google once more disappoints with its newest silicon. The Tensor G2 chipset scores 801,116 within the AnTuTu check and is approach behind SD8+ Gen 1 and A16 Bionic.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: ISP

Whereas the Google Tensor G2 is behind the Snapdragon 8+ Gen 1 and Apple A16 Bionic in CPU efficiency and is promising within the GPU division, ISP is the place Google shines. And that’s as a result of it controls each the {hardware} and software program verticals. Together with all of the picture and video capabilities, the customized Google ISP affords cinematic blur for movies, 2x quicker Evening Sight images, and 10-bit HDR help. You additionally get energetic stabilization utilizing each {hardware} and software program, together with 4K 60FPS taking pictures throughout all of the cameras.

If we discuss concerning the ISP on the Snapdragon 8+ Gen 1, effectively, it’s positively extra highly effective and affords an 18-bit triple ISP structure. It may seize 3.2 gigapixels per second and helps 8K HDR recording as effectively. The ISP on the A16 Bionic can be fairly superior and might carry out 4 trillion operations per picture. It powers the brand new Photonic engine for producing sharper and wealthy pictures and affords Cinematic movies and Motion mode to stabilize shaky movies.

General, I’d say all three ISPs are loads highly effective, however on the finish of the day, it relies on the cellphone producer on the right way to leverage these {hardware} capabilities. And it looks like Google is successful this recreation with new and thrilling digicam options which are significant to the consumer.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: AI and ML

Within the AI and ML phase, Google is a pacesetter in offering helpful options on Pixel telephones. And on the Tensor G2 chipset, Google has added a new TPU (Tensor Processing Unit) that may ship state-of-the-art AI and private intelligence options to your cellphone.

Within the keynote tackle, Google stated that machine studying runs as much as 60% quicker on the Tensor G2 chip with 20% extra energy effectivity. From speech recognition to translating conversations, voice help, Pixel Name Help, Name Display, Tremendous Res Zoom, and so on., you get all of the AI-driven options on the Pixel lineup, because of its highly effective TPU.

Qualcomm’s Seventh-gen AI Engine on the Snapdragon 8+ Gen 1 can be highly effective, and it may carry out 27 trillion operations per second. That stated, it relies on your cellphone producer on the right way to present good and significant experiences by using {hardware} prowess.

Alternatively, Apple’s new 16-core Neural Engine on the A16 Bionic can carry out 17 trillion operations per second, which helps in computational images, voice help, pixel-by-pixel evaluation, speech recognition, and so on. Nevertheless, no different firm comes near Google in delivering good and customized experiences, so the Google Tensor G2 wins this spherical as effectively.

Tensor G2 vs Snapdragon 8+ Gen 1 vs A16 Bionic: Wi-fi Connectivity

The Google Tensor G2 chip options Samsung’s unannounced G5300B 5G modem, which helps each mmWave and sub-6GHz bands. Nevertheless, there’s little or no details about the specifics of the modem and its peak throughput. If we go by the Pixel 7 product itemizing, it helps nearly 22 5G bands, masking a lot of the NR frequency bands. Aside from that, it helps Bluetooth 5.2 and Wi-Fi 6E.

Shifting to the Snapdragon 8+ Gen 1, it consists of the in-house X65 5G modem, which affords a peak theoretical obtain pace of 10Gbps. As well as, the chipset brings help for Bluetooth 5.3 and LE requirements. Lastly, the A16 Bionic additionally contains a discrete X65 5G modem from Qualcomm and helps Wi-Fi 6 and Bluetooth 5.3.

General, by way of 5G and wi-fi connectivity, the Google Tensor G2 lags behind SD 8+ Gen 1 and A16 Bionic. Qualcomm is among the leaders within the modem business, and Samsung’s modems haven’t been in a position to meet up with the very best within the business. The truth is, Samsung has determined that it’s solely going to make use of Qualcomm’s X70 5G modem on the Galaxy S23 sequence, so you possibly can catch the drift.

What’s Your Verdict on the Google Tensor G2?

In order that was our in-depth comparability between the Google Tensor G2, Snapdragon 8+ Gen 1, and A16 Bionic. Besides within the CPU and modem division, we consider that the Google Tensor G2 is a middle-of-the-road chipset that contains a power-efficient GPU, spectacular TPU (AI + ML), and a strong ISP. Now, it’s time to check how effectively Google has optimized the cellphone to deal with intensive duties beneath sustained load and if there are any thermal throttling or heating points.

Anyway, that’s all from us. However what do you consider the Google Tensor G2 chipset? Do tell us within the remark part under. Additionally, head to our comparability between the A16 Bionic and Snapdragon 8+ Gen 1 to study extra concerning the efficiency distinction between the 2 flagship SoCs.