Cellular Chips In contrast: Apple vs Google vs Qualcomm vs MediaTek vs Samsung – Uplaza

After a earlier model of this information put face-to-face chips from Qualcomm, MediaTek, Apple, Samsung, and Huawei/HiSilicon, a bunch of issues modified within the smartphone element enviornment, notably the arrival of Google, the loss of life and rebirth of flagship chips from Huawei on account of US sanctions, and Samsung getting back from a hiatus from the flagship area. First, let’s check out an total specs comparability of immediately’s contestants.

Snapdragon vs. Dimensity vs. Exynos vs. Tensor vs. Apple: Specs In contrast

  Late 2024 ~ Early 2025 Late 2023 ~ Early 2024
Product

MediaTek Dimensity 9400

Apple A18 Professional

Google Tensor G4

Qualcomm Snapdragon 8 Gen 3

Samsung Exynos 2400

HiSilicon Kirin 9000S

MediaTek Dimensity 9300 rgb(236, 148, 48)

Google Tensor G3

Apple A17 Professional

Prime core 1x Cortex-X925 @ 3.62 GHz 2x Apple Everest @ 4.05 GHz 1x Cortex-X4 @ 3.1 GHz 1x Cortex-X4 @ 3.3 GHz 1x Cortex-X4 @ 3.2 GHz 1x Taishan V120 @ 2.62 GHz 1x Cortex-X4 @ 3.25 GHz 1x Cortex-X3 @ 2.91 GHz 2x Apple Everest @ 3.78 GHz
Efficiency core 3x Cortex-X4 @ 3.3 GHz   3x Cortex-A720 @ 2.6 GHz 3x Cortex A720 @ 3.15 GHz
2x Cortex A720 @ 2.96 GHz
2x Cortex A720 @ 2.9 GHz
3x Cortex A720 @ 2.6 GHz
3x Taishan V120 @ 2.15 GHz 3x Cortex-X4 @ 2.85 GHz 4x Cortex-A715 @ 2.37 GHz  
Effectivity core 4x Cortex-A720 @ ? 4x Apple Sawtooth @ 2.42 GHz 4x Cortex-A520 @ 1.92 GHz 2x Cortex-A520 @ 2.3 GHz 4x Cortex-A520 @ 1.95 GHz 4x Cortex-A510 @ 1.53 GHz 4x Cortex-A720 @ 2.0 GHz 4x Cortex-A510 @ 1.7 GHz 4x Apple Sawtooth @ 2.11 GHz
RAM LPDDR5x-10667
4x 16-bit @ 5333 MHz
(85.4 GB/s)
LPDDR5x-7500
4x 16-bit @ 3750 MHz
(60 GB/s)
LPDDR5x
4x 16-bit
LPDDR5x-9600
4x 16-bit @ 4800 MHz
(76.8 GB/s)
LPDDR5x-8533
4x 16-bit @ 4266 MHz
(68.2 GB/s)
LPDDR5x-8533
4x 16-bit @ 4266 MHz
(68.2 GB/s)
LPDDR5T-9600
4x 16-bit @ 4800 MHz
(76.8 GB/s)
LPDDR5x-8533
4x 16-bit @ 4266 MHz
(68.2 GB/s)
LPDDR5x-6400
4x 16-bit @ 3200 MHz
(51.2 GB/s)
GPU 12x ARM Immortalis-G925 6x Apple GPU
(2227 GFLOPS)
7x ARM Mali-G715 Adreno 750
(2774 GFLOPS)
AMD RDNA3
(3406 GFLOPS)
HiSilicon Maleoon 910
(1536 GFLOPS)
12x ARM Immortalis-G720
(3993.6 GFLOPS)
7x ARM Mali-G715 6x Apple GPU
(2147 GFLOPS)
5G modem MediaTek
(7/3.5 Gbps)
Exterior Snapdragon X71
(10/3.5 Gbps)
Exterior Exynos 5400c Snapdragon X75
(10/3.6 Gbps)
Exterior Exynos 5153
(12/3.67 Gbps)
Balong 5000 MediaTek
(7/3.5 Gbps)
Exterior Exynos 5300i Exterior Snapdragon X71
(10/3.5 Gbps)
Wi-fi connectivity Wi-Fi 7
Bluetooth 5.4
Exterior
Wi-Fi 7
Bluetooth 5.3
Wi-Fi 7
Bluetooth 5.3
Wi-Fi 7
Bluetooth 5.4
Wi-Fi 6E
Bluetooth 5.3
Wi-Fi 6
Bluetooth 5.2
Wi-Fi 7
Bluetooth 5.4
Wi-Fi 7
Bluetooth 5.3
Exterior
Wi-Fi 6E
Bluetooth 5.3
Course of node TSMC N3E TSMC N3E Samsung 4LPP+ TSMC N4P Samsung 4LPP+ SMIC N+2 (“7nm”) TSMC N4P Samsung 4LPP TSMC N3B

SoC elements

Cellular system-on-chip (SoC) design has been fairly secure up to now few years, with most chip producers following the same multi-core design with many specialised blocks devoted to offloading processing duties from the central processing unit (CPU):

  • Graphics Processing Unit (GPU): Liable for accelerating visible calculations, particularly 3D rendering.
  • Picture Sign Processor (ISP): Course of information captured from the digital camera sensors.
  • Digital Sign Processor (DSP): Course of information obtained from different sensors, typically employed for media and/or communication processing.
  • Neural Processing Unit (NPU) (aka AI Accelerator): Specialised in synthetic intelligence and machine studying duties.
  • Modem: Liable for including help for mobile networks (e.g. 4G/LTE, 5G Sub-6 GHz, 5G mmWave…).

CPU cores are generally break up between effectivity cores and efficiency cores, with the primary consuming significantly much less vitality however not notably quick. Heavier duties are offloaded when essential to the efficiency cores, with Android chips adopting a 3rd tier of even quicker CPUs denominated as “Prime cores”.

The CPU is simply one of many constructing blocks in a contemporary SoC. / © Qualcomm

For nearly 10 years, all smartphones from conventional manufacturers have used the identical CPU structure: ARM. Nevertheless, not all ARM CPUs are equal. Apple, for instance, designs its personal CPU cores which might be appropriate with the ARM instruction set, whereas the Android suppliers undertake reference CPU cores from ARM, often called the Cortex cores.

With the success of Apple’s in-house designs, each Qualcomm and Samsung are anticipated to as soon as once more supply customized ARM designs, one thing that mirrors the early days of Android SoCs with Qualcomm Krait and Samsung Mongoose cores. As of 2024, ARM’s reference cores for cell processors are break up between Cortex-X, Cortex A7xx, and Cortex-A5xx cores for prime, efficiency, and effectivity cores, respectively.

Up to now three years, Android flagship SoCs had one most important differentiating issue when in comparison with mid-range chips: The prime cores. Qualcomm’s launch of the Snapdragon 7+ Gen 2, nonetheless, made that distinction out of date, however that chip nonetheless incorporates a barely much less succesful GPU, ISP, and modem in comparison with the corporate’s flagship choices.

Manufacturing course of

One other area during which Apple has the higher hand is the fabrication course of it makes use of, extra particularly, the preferential remedy it has with the world’s most superior chip producer, Taiwan Semiconductor Manufacturing Firm (TSMC). As a result of its sheer scale, with chips for smartphones, tablets, and now even PCs, Apple has dibs on utilizing the latest course of nodes from the Taiwanese firm.

Newer processes normally translate into extra transistor density—the flexibility to pack extra cores, cache, and different buildings, or just match extra chips into the identical space—, larger processing frequencies, and/or much less energy consumption.

Apple had the primary client processors made on TSMC’s 7-nm—technically introduced after a Huawei Kirin chip, however reaching shops first—, 5-nm, and 3-nm, the latter used for the present A17 processor used on the iPhone 15 Professional fashions. The identical privilege additionally applies to mid-cycle refreshes of these generations, such because the extra environment friendly N3E course of used on the A18 chips for the iPhone 16 household, adopted quickly after by the Dimensity 9400 chip. 

This new MediaTek flagship confirmed how far the partnership with its countrymen at TSMC developed, as MediaTek’s chips have been historically one course of node behind Apple’s. Up to now, the corporate was recognized for not having energy-efficient processors, however that was influenced by utilizing outdated fabrication processes from each TSMC and UMC, additionally from Taiwan. The Dimensity chips, alternatively, are fabbed utilizing fashionable processes, making them aggressive in vitality consumption.

Samsung Foundry’s 3 nm course of would be the first to make use of the GAA (gate throughout) tech, promising extra density and fewer energy utilization. / © Samsung

Qualcomm, for its half, normally maintains a foundry-agnostic technique, with manufacturing booked in line with availability. The Snapdragon 888/888+ and eight Gen 1, for instance, have been made by Samsung Foundry, however their successor, the Snapdragon 8+ Gen 1 makes use of TSMC’s N4 course of, leading to much less energy consumption and warmth dissipation.

Samsung’s in-house chips (from its LSI division) are clearly made by Samsung Foundry, which for the previous few years has not been aggressive with TSMC’s nodes from the identical “nm” technology. The South Koreans are optimistic, nonetheless, that its 3 nm-class course of will supply a 45% enchancment in energy utilization, which might be a welcome evolution in cellphones.

As for Google, because the Tensor cell chips are primarily based on Samsung LSI’s merchandise, its processors are additionally fabbed by Samsung Foundry, with rumors suggesting a future swap to TSMC, time will inform. Tensor chips normally distinguish themselves from Exynos SoCs by using totally different CPU and GPU clusters, and most significantly, Google’s in-house Tensor NPU.

Huawei, for its half, is soldiering on within the SoC area, getting a number of headlines for its “7nm” chip, made by Chinese language foundry SMIC. Nevertheless, the identical US sanctions that stopped them from contracting TSMC to make chips additionally block Huawei’s subsidiary HiSilicon from licensing fashionable ARM CPU and GPU cores. Our assessments with a Kirin 9000WL-powered machine revealed a efficiency stage on par with mid-range chips just like the Snapdragon 7 collection or the Exynos 1480.

GPU traits

Up to now two years, cell processors joined the development in PC GPUs to undertake ray tracing (RT) and different rendering options present in fashionable GeForce and Radeon graphics playing cards. Regardless of not anticipating to see desktop-level graphics anytime quickly in cell gadgets, there have been a few attention-grabbing developments that got here with that development.

Ray tracing allows extra real looking lighting, shadows, and reflections in video games. 

The primary one was AMD becoming a member of the cell SoC area with its Radeon GPUs on the Samsung Exynos 2200, utilizing the identical RDNA2 structure—though with far fewer cores—on the newest PlayStation and Xbox consoles. Samsung’s retreat from the flagship cell SoC area, nonetheless, meant that it did not have a follow-up till two years later, with the Exynos 2400 chip used on the Galaxy S24 fashions packing an RDNA3 GPU.

Qualcomm’s Adreno GPUs observe their very own path, with only a few publicly accessible particulars in the case of specs. Current generations help ray tracing, alongside different superior options, making them additionally appropriate to be used in different Snapdragon chips designed for Home windows laptops.

MediaTek principally makes use of ARM’s reference GPUs in its Dimensity vary, with the newer Dimensity 9300/9400 powered by 12 cores of the RT-capable ARM Immortalis GPU. Up to now, the Helio SoC household featured significantly fewer ARM Mali GPU cores than its Exynos and Kirin rivals, resulting in decrease efficiency, one thing that the flagship Dimensity fashions are altering due to a extra premium positioning and superior TSMC nodes.   

Google would not fairly match with different SoC manufacturers within the Android area, happening a unique tempo on GPUs similar to on the CPU cores. The Tensor chips characteristic a comparatively low seven GPU cores from ARM Mali household, so it’s incompatible with the identical options accessible on its rivals.

Apple would not disclose a lot about its in-house GPU designs, which share lots of historical past with old-school PowerVR video processors. iPhone GPUs are however very succesful by way of options, sharing their core design with the bigger Apple M chips used on Mac PCs.

AI in every single place

Google highlights its AI investments proper within the identify of its Tensor processor. / © Google

With synthetic intelligence (AI) and machine studying (ML) much more within the highlight than in earlier years due to Steady Diffusion and ChatGPT, the significance of AI-dedicated cores is simply anticipated to extend. In that regard, flagship cell chips have been getting more and more extra highly effective in ML duties due to devoted cores corresponding to Apple’s Neural Engine, Qualcomm’s Hexagon, MediaTek’s NPU, and Google’s TPU.

Sadly, manufacturer-advertised numbers are usually not comparable between manufacturers, with Apple asserting 16 trillion operations per second (TOPS) on its A16 Bionic chip, whereas Qualcomm’s numbers used to incorporate processing performed between the DSP, CPU, and GPU till the corporate stopped disclosing TOPS numbers for its Snapdragon chips.

Regardless, anticipate firms to maintain promoting AI options on chips, throwing daring claims on efficiency enhancements, whereas working programs and apps attempt to catch up in supporting them.

Diminishing returns?

Flagship processors are sure to maintain advancing within the subsequent few years, particularly with the return of customized designs from Qualcomm and Samsung, and AI taking the highlight. Nevertheless, it stays to be seen if software program help will be capable of sustain since these developments normally take lots of time to achieve mainstream processors.

Moreover, extra devoted cores normally imply extra transistors used, one thing that isn’t all the time economically viable with out additional advances in fabrication processes. Rumors round future technology chips getting dearer persist, even whether it is the kind of info that’s secretly held between chip and cellphone producers.

Then again, previous predictions about Qualcomm changing into a monopoly on Android’s flagship SoCs have been improper, with competitors coming not solely from Samsung but in addition from MediaTek and newcomer Google. It’s a far cry from the aggressive panorama from 10 years in the past, however nonetheless some competitors to sit up for.


Article up to date in October 2024 with new fashions launched because the final replace in April.

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