Top Smartphone Processors(2024)
Qualcomm, MediaTek and Apple release new mobile processors every year. In this article, we will look at some of the best smartphone SoCs in the country based on their AnTuTu and Geekbench scores. This will give you a clear idea of how different processors interact with each other when it comes to regular use, as well as when performing demanding tasks like graphics-intensive gaming, video rendering, and image processing.
1. MediaTek Dimensity 9300
Apple, Google and Qualcomm will unveil their 2024 flagship mobile processors in late 2023, as will MediaTek. The new MediaTek Dimensity 9300 has significant improvements in AI, graphics and photography as well as processor tuning, which is a significant departure from the stable. Recent MediaTek chips are good, but the Dimensity 9300 looks completely different. Let's dive into the details to see what this chip has to beat Qualcomm's Snapdragon 8 Gen 3, Google's Tensor G3, and other competitors.
| Dimensity 9300 | Dimensity 9200 |
CPU Config | 1x Cortex-X4 @ 3.25GHz 3x Cortex-X4 @ 2.85GHz 4x Cortex-A720 @ 2.0GHz | 1x Cortex-X3 @ 3.05GHz 3x Cortex-A715 @ 2.85GHz 4x Cortex-A510 1.8GHz |
GPU | Arm Immortalis-G720 12-core Hardware ray-tracing | Arm Immortalis-G715 11-core Hardware ray-tracing |
Caches | 8MB L3 10MB system-level cache | 8MB L3 6MB system-level cache |
AI | APU 790 (added INT4 support and hardware compression) | APU 690 |
RAM support | LPDDR5T @ 9600Mbps | LPDDR5X @ 8333Mbps |
Storage | UFS 4.0 with MCQ | UFS 4.0 with MCQ |
4G/5G Modem | LTE/5G (integrated) Sub6GHz and mmWave 7,900Mbps down | M80-based LTE/5G (integrated) Sub6GHz and mmWave 7,900Mbps down |
Other networking | Bluetooth 5.X Wi-Fi 7 | Bluetooth 5.3 Wi-Fi 7 Ready |
Process | TSMC 4nm+ N4P | TSMC 4nm N4P |
More Details
Looking at the specifications, the standout change is the new 4+4 processor configuration, featuring four powerful ARM Cortex-X4 cores and four high-performance Cortex-A720 cores. Unlike traditional mobile chipsets used in Android phones, including the latest Google Tensor G3 and Snapdragon 8 Gen 3, the less powerful and energy-efficient ARM Cortex-A5XX series cores are absent at all. Surely this can’t be better for battery life? Well, actually, everything could be fine.
To understand why, we dug up a slide from Arm’s A720 announcement. Not only did the presentation point to a smaller core count for mobile devices, as is the case with the 8 Gen 3, but a closer look at Arm’s DVFS curve indicates that the A520 has a lower minimum power/performance ratio while the A720 runs closer to the maximum than the A520. Consumes less energy in the condition. The question then becomes whether the A520 will be able to realize any power benefits for real-world workloads that are becoming richer and more complex, or whether it will actually be just as well or more efficient to run the A720 in lower power conditions.
MediaTek’sFinbarr Moynihan provided further explanation, noting that it may be more efficient to power up a more powerful core, quickly complete a task, and then power down, rather than running for longer on a less powerful core. Google has provided similar logic in Core Tensor and G2 for its dual Cortex-X1 approach. However, since then the Tensor G3 has used a more traditional single large core. MediaTek backs this up with numbers, claiming that “normal” tasks such as web browsing and social apps, as well as more demanding applications, offer a 10-15% reduction in power consumption compared to the Dimensity 9200.
The Dimensity 9300 still uses a sort of three-tier processor system. A large Cortex-X4 core operates at up to 3.25 GHz, while the other three are clocked at up to 2.85 GHz. MediaTek notes that there is no difference between these cores in terms of cache, only that the higher clocked cores have more silicon area to accommodate the higher frequencies. The four Cortex-A720 cores are identical, each with a peak clock speed of just 2.0 GHz, indicating a more energy-efficient implementation of these cores than other chipsets. For comparison, the Snapdragon 8 Gen 3 overclocks the A720 core to 3.2 GHz.
MediaTek’s processor adds 8MB of L3 cache and 10MB of system cache, increasing the cache size by 29% compared to last year. Together, the Dimension 9300 delivers 15% more performance for the same power, or 33% less power for the same performance, as the Dimension 9200. Alternatively, at maximum usage, the CPU configuration delivers 40% more peak performance than last year’s model. . This all sounds promising, but we’ll definitely be keeping an eye on standby power consumption and temperatures with this new design.
It’s impossible to launch a chip in 2023/2024 without mentioning AI capabilities, and MediaTek has some equally significant changes here. The Dimension 9300 comes with an updated 790 APU, which doubles integer and floating point capacity and reduces power consumption by 45%. It is very useful for a variety of machine learning tasks, from voice recognition to image segmentation.
In keeping with the trend, the Dimension 9300 includes specific enhancements to on-device generative AI, which MediaTek claims results in an eight-fold improvement in performance over the previous generation. The problem with generative AI models like LLM is that they require a lot of memory, which makes it much more difficult to run on a phone than on a cloud server. To get around this problem, the 790 APU supports INT4 (A16W4) for running small quantized models and a dedicated hardware memory decompression unit that feeds the APU. In MediaTek’s example, the 13GB INT8 model can be pre-compressed to 5GB to fit into RAM and then decompressed by hardware en route to the APU.
In terms of applications, the 790 APU can process LLMs with 7 billion parameters at 20 tokens per second, which is fast enough for real-time use. By comparison, Qualcomm says its Snapdragon 8 Gen 3 can process an LLM with 10 billion parameters at about 15 tokens per second, which seems pretty comparable. The Dimension 9300 can extend this capability to run LLM with 13 billion parameters on 16 GB RAM, up to 33 billion parameters with 24 GB RAM, albeit at a much slower 3-4 tokens per second.
While compact models won’t be as accurate as their data center counterparts, the prospect of running generative AI on a single device, with all the security and throughput benefits that entails, is now a real possibility. Seen in initiatives like the Gemini Nano and Samsung’s Galaxy AI suite It is important to note that MediaTek fully expects its partners to take advantage of these opportunities immediately.
Processors and artificial intelligence are two big pieces of the latest dimensionality pie, but there are plenty of toppings as well. Gamers, for example, are offered the latest Arm Immortalis-G720 GPU in a 12-core configuration from the latest generation 11-core processor). MediaTek estimates a peak performance increase of up to 23% over the 9200, combined with improvements in architecture and technology nodes, as well as up to 46% improvement in ray tracing. Perhaps even more enticing is the prospect of a 40% reduction in power consumption while maintaining the same level of performance as last year’s model, resulting in much longer gaming sessions on a single charge.
The new GPU tweak includes support for global illumination effects, 40% memory bandwidth savings for geometry-heavy games, and 2x MSAA support without the performance penalty of 4x MSAA (the lowest AA level previously supported on the G715). In terms of display, WQHD panels with refresh rates up to 180Hz or 4K at 120Hz are now supported, as well as Dual Active Display for foldable devices and Google’s Ultra HDR display format from Android 14.
For photographers, MediaTek’sImagiq 990 ISP is tightly coupled to the APU, supporting up to 16 levels of object segmentation even when recording video. However, ISP supports continuous HDR shooting at 4K resolution, as well as software bokeh and depth effects. A hardware-based dual-lossless upscaling engine reduces quality when capturing frames from high-resolution sensors, and the ISP now has a dedicated OIS sensor core instead of sharing resources with sensor hubs or other components.
The Dimensity 9300 features a new secure boot chip, an isolated secure computing environment and an Armv9 memory tagging extension that helps developers avoid memory exploitation and improve the security of future smartphones. Network updates are more repetitive. You get native support for Wi-Fi 7 and sub-6GHz 5G bands for downlink speeds of up to 7Gbps.
With the devices in hand, we can now see where the MediaTek Dimension 9300 chip stands out from the competition. As expected based on the specifications, MediaTek’s flagship chip offers solid processor capabilities. Although it doesn’t quite match the Apple A17 Pro in terms of power, its powerful processor narrowly beats the Qualcomm Snapdragon 8 Gen 3 in multi-core workloads.
Archrival Qualcomm takes the lead in graphics workloads, with the Snapdragon 8 Gen 3 holding a solid lead in one-shot tests (including ray tracing) and generally outperforming long-term workloads in our tests. Not that Dimension fails when it comes to that. For gaming its GPU handles the demands of modern games without any issues and significantly outperforms Apple A17 Pro and Google Tensor G3.
The MediaTek Dimension 9300 based Android smartphones were announced in late 2023 and reached customers in early 2024. The high-end vivo X100 Pro is perhaps the best example of a global flagship powered by the latest and greatest MediaTek technology, while several China-only phones also use the processor, such as the OPPO Find X7.
2. Qualcomm Snapdragon 8 Gen 3
The Qualcomm Snapdragon 8 series chipset powers most of the high-end Android phones on the market. And in 2024, the company's new flagship processor will be the Snapdragon 8 Gen 3. We have already tested this chip in several smartphones and recorded impressive results in various tests. With an updated processor, improved GPU, AI improvements and new camera techniques, there's no shortage of improvements and new additions. So let's unbox the Snapdragon 8 Gen 3 and find out what it has to offer.
When Snapdragon 8 Gen 2 was announced nearly a year ago, Qualcomm moved away from the traditional 1+3+4 processor core layout, switching one of the four smaller cores to a 1+4+. 3 layout. Now the Snapdragon 8 Gen 3 loses another small core.
Yes, the new Snapdragon chipset uses a 1+5+2 processor design that includes one large Cortex-X4 core, five medium Cortex-A720 cores and just two small Cortex-A520 refresh cores.
In another interesting development, Qualcomm told us that it is finally dropping support for 64-bit cores entirely for 32-bit applications.
“This year it’s a pure 64-bit kernel. And we believe the application ecosystem has evolved in such a way that we don’t see much need for 32-bit cores at this point,” Qualcomm senior vice president ZiadAsghar said in response.
Qualcomm also offers higher clock speeds here, with the big core at 3.3 GHz, three medium cores at 3.2 GHz, two other medium cores at 3 GHz and two small cores at 2.3 GHz. The chip also has 12MB of L3 cache, up from 8MB last time.
With much higher clock speeds, a larger L3 cache and an extra mid-core, the Snapdragon 8 Gen 3 is a big step up in terms of power. In fact, Qualcomm says you can expect a 30% performance improvement over the Snapdragon 8 Gen 2. We’ll look at real-world benchmarks shortly.
| Snapdragon 8 Gen 3 | Snapdragon 8 Gen 2 |
CPU Config | 1x 3.3GHz (Cortex-X4) 3x 3.2GHz (Cortex-A720) 2x 3GHz (Cortex-A720) 2x 2.3GHz (Cortex-A520 Refresh) | 1x 3.19GHz (Cortex-X3) 2x 2.8GHz (Cortex-A715) 2x 2.8GHz (Cortex-A710) 3x 2.0GHz (Cortex-A510) |
GPU | Adreno (ray tracing support) | Adreno 740 (ray tracing support) |
DSP | Hexagon (fused scalar, tensor, and vector) Mixed precision INT8/INT16 INT4 support | Hexagon (fused scalar, tensor, and vector) Mixed precision INT8/INT16 INT4 support |
RAM support | LPDDR5X | LPDDR5X |
Camera support | • 200MP single shot • 108MP single with zero shutter lag • 64MP+36MP with zero shutter lag • Triple 36MP with zero shutter lag • Hybrid AF • 10-bit HEIF image capture • HDR video • Dolby HDR photo • Multi-frame noise reduction • Real-time semantic segmentation for photos and videos (up to 12 layers) • Video super resolution | • 200MP single shot • 108MP single with zero shutter lag • 64MP+36MP with zero shutter lag • Triple 36MP with zero shutter lag • Hybrid AF • 10-bit HEIF image capture • HDR video • Multi-frame noise reduction • Real-time semantic segmentation for photos and videos (up to 8 layers) • Video super resolution |
Video capture | 8K @ 30fps (HDR) 4K UHD @ 120fps 720p @ 960fps Night Vision Video Capture (4K/60fps) | 8K @ 30fps (HDR) 4K UHD @ 120fps 720p @ 960fps |
Charging | Quick Charge 5 | Quick Charge 5 |
4G/5G Modem | X75 LTE/5G (integrated) 10,000Mbps down 3,500Mbps up | X70 LTE/5G (integrated) 10,000Mbps down 3,500Mbps up |
Other networking | Bluetooth 5.4 Wi-Fi 7, Wi-Fi 6/6E (802.11ax), Wi-Fi 5 (802.11ac), 802.11a/b/g/n | Bluetooth 5.3 Wi-Fi 7, Wi-Fi 6/6E (802.11ax), Wi-Fi 5 (802.11ac), 802.11a/b/g/n |
Process | TSMC 4nm (N4P) | TSMC 4nm (N4?) |
More Details
This new processor configuration is still more traditional than arch-rival MediaTek’s Dimension 9300 processor. The MediaTek chip ditches the smaller cores entirely in favor of four Cortex-X4 cores and four mid-range Cortex-A720 cores, albeit at lower clock speeds. In our tests, the Dimensity 9300 and Snapdragon 8 Gen 3 MediaTek performed better under CPU load, but Qualcomm maintained the lead in the GPU department.
Qualcomm has confirmed that the chipset is a 4nm process based on TSMC’s N4P process. This means the Apple A17 Pro is currently the only smartphone processor built on the tiny 3nm process. There’s more to a good chipset than the manufacturing process, so we’re interested to see how these two chips fare against each other.
Snapdragon 8 Gen 2 makes a major GPU improvement by introducing hardware-accelerated ray tracing for more realistic lighting, reflections and shadows. So what does Snapdragon 8 Gen 3 have?
Qualcomm confirmed that the new chipset’s ray tracing capabilities have been enhanced with global illumination support through Unreal Engine 5’s Lumen Engine, a graphics technique that more realistically models how light interacts with its environment. This lighting technology also takes into account factors such as absorption and reflection of virtual elements. It’s too early to tell if this will be widely adopted, so whether it will be like mobile ray tracing (ie supported by very few games at the moment) is anyone’s guess.
Otherwise, the new Adreno GPU is claimed to be 25% faster than the previous generation, but at the same time 25% more efficient. Improves ray tracing performance by 50%. All these numbers are backed up by the tests above, but we’re disappointed that the last-gen Snapdragon 8 Gen 2 lacks sustained performance.
Generative AI is everywhere and Qualcomm is taking advantage of the trend. The company says the newly designed Hexagon Snapdragon 8 Gen 3 NPU has been designed with generative AI in mind. Key improvements include up to 98% performance improvement over the previous generation, 40% higher efficiency, 2x greater shared memory throughput, and increased throughput by powering the Tensor Accelerator. Wilton says he also implemented a separate voltage rail for the Tensor accelerator, which allows the NPU and Tensor silicon to operate at different power levels to balance performance and efficiency.
A major advantage is that you can expect to generate images faster with stable expansion. Qualcomm previously demonstrated the device’s stable diffusion feature on the reference Snapdragon 8 Gen 2 phone, where it takes more than 15 seconds to generate an image from a text prompt. However, the company says it now takes less than a second to generate a stable diffusion image. The company also said it is working with Snapchat to bring a fast stable diffusion solution to the app.
Unlike Qualcomm’s previous initiatives, smartphone makers have taken the Snapdragon 8 Gen 3’s AI capabilities and put them to use. For example, Samsung’s 2024 flagship phones include a suite of Galaxy AI software that supports various text and image manipulation features. Similarly, Xiaomi 14 Ultra claims to use four AI models to improve camera quality and digital zoom.
Another interesting addition is “on-device personalization” for AI. Qualcomm says it will use your device’s sensors (eg GPS, Wi-Fi, microphone, Bluetooth, camera) to personalize the chatbot’s requests. So if you ask a chatbot about the best restaurants or activities, you can expect a more personalized response based on your location and other factors, rather than stating it explicitly in your question.
Qualcomm also touts the privacy benefits of on-device personalization. The company wanted to allay concerns that apps would have access to this personalization data. VineshSukumar, Qualcomm’s head of artificial intelligence and machine learning, said that any app using this feature would receive only a “refined input material that is filtered” before entering the app. He added that this personalization data is deleted after the request is made.
In recent years, Qualcomm has been bringing AI closer to visualization, and the Snapdragon 8 Gen 3 continues this trend.
Perhaps nowhere is this fact more evident than with the new Photo Enhancement feature. The new Snapdragon chip lets you “zoom out” a captured photo, essentially expanding the boundaries of the image using the device’s built-in artificial intelligence. It’s a pretty insane feature, although it doesn’t cross the line in terms of photo authenticity, it blatantly skirts it. At the same time, a Qualcomm representative suggested in a media briefing that it could be used to create wallpapers.
Another notable camera-related feature is the so-called Video Object Eraser. As the name suggests, this feature allows you to remove objects from videos with one touch, just like you can remove objects from photos with Magic Eraser. We’re curious to see how this feature works on commercial devices, since Magic Eraser for Photos isn’t perfect out of the box.
Qualcomm is also talking about a night vision feature in the Snapdragon 8 Gen 3. Powered by the Visionary AI neural network, this feature will allow you to shoot video in “really, really dark” conditions. This isn’t the first time we’ve seen night mode video capabilities, as companies like OPPO have been offering them via a dedicated imaging chip for some time. But this feature included in Snapdragon 8 Gen 3 is very convenient for OEMs.
Qualcomm notes that night vision video uses “frame rate conversion” and press materials mention 4K/60fps support. The company confirmed to us that it shoots at 4K/30fps before using frame interpolation to deliver 4K/60fps video in this mode.
Snapdragon 8 Gen 3 is also an improvement on the cognitive ISP launched last year. The Snapdragon 8 Gen 2 ISP was able to use real-time semantic image segmentation to identify eight objects in a photo or video and apply adjustments to them. Now this figure has been increased to 12 objects. We also have a Vlogger View feature that records video through both the front and rear cameras, but disconnects you from the selfie camera and keeps you in view of the main camera.
This time around, two more notable camera-related features include image authentication and an updated TruPic partnership for Dolby HDR photo capture. In the first case, it will help consumers to check whether it has been created by artificial intelligence. Meanwhile, Dolby HDR Photo Capture is a new HDR photo format that promises 10-bit color depth and one billion colors.
This is not the only new feature coming to Qualcomm’s latest smartphone chipset. Here are some more nuggets to know:
- Snapdragon 8 Gen 3 also brings AI-powered generative backgrounds for video capture. This will allow you to use static diffusion to create backgrounds for recorded videos.
- Qualcomm’s new chip also supports Samsung’s new Zoom Anyplace technology, using a 200MP camera to simultaneously capture 1x and 4x video with object tracking. Do you know what supports this technology? Samsung Exynos 2400 processor.
- Expect continued support for Google’s smooth Ultra HDR photo format, following in the footsteps of the Snapdragon 8 Gen 2 and Pixel 8.
- Snapdragon 8 Gen 3 Touch Hub delivers 3.5x faster performance with INT4 support, 30% more memory and dual always-on ISPs. The latter means you can put one ISP on the front (for example, for fast face unlock) and the other on the back (for example, for scanning QR codes).
- Expect cleaner, more beautiful shadows in supported games with the addition of Snapdragon Shadow Denoiser.
- The chipset supports 24-bit lossless audio at 96 kHz, as well as proprietary XPAN technology for whole-home coverage. It’s part of the new Snapdragon S7 and S7 Pro audio chipsets for wireless headphones.
3. Apple A17 Pro
Let's start with the basics: The A17 Pro is Apple's first chip based on the 3nm semiconductor manufacturing process, and it's a significant step up from the 5nm process used in the A16 Bionic. A smaller manufacturing process means more transistors can be placed closer together on a chip's silicon die, resulting in a smaller, faster, cooler and more energy-efficient chip.
According to Apple, these transistors are so small that some of their components are only 12 silicon atoms wide, which puts them at the extremes of miniaturization.
Each chip has 19 billion transistors, six billion more than the A16 Bionic.
In terms of cores, the A17 Pro is similar to its predecessor, with two high-performance cores and four energy-efficient cores, although we don’t know how fast these cores are running yet (the cores found in the A16 Bionic are clocked at 3.46GHz and 2.02GHz respectively), but Apple says they’re 10 percent faster, with improved branch prediction for faster code execution and a higher throughput decoding and execution engine.
Apple claims that the A17 Pro is the fastest single-threaded mobile processor (a claim I have no doubt about, given that competitors are struggling to compete with the A16 Bionic) and offers performance that rivals high-end PCs.
Efficiency Core is the “most efficient mobile processor” and delivers three times the performance per watt of the competition.
The neural engine—the part of the chip that handles machine learning and performs tasks on the device like voice recognition, auto-correction, or determining what objects are in a photo you’ve taken for indexing—has 16 cores. – Same as A16 Bionic, but performance is doubled and capable of 35 trillion operations per second.
The A17 Pro features dedicated ProRes video processing, an AV1 video decoder, and ProMotion and always-on display engines.
Since the Lightning port has been replaced by USB-C, Apple has also added a dedicated USB 3 controller that supports data transfer speeds of up to 10 gigabits per second.
What about the GPU?
According to Apple, this GPU is “groundbreaking” and “all-new,” and Apple calls it a “professional” GPU. It has been redesigned for functionality and efficiency, as well as for handling complex applications, and includes new rendering features. It has six cores (one more than the A16 Bionic) and is 20 percent faster as a result.
Additionally – and this is for game developers and AR developers – the A17 Pro GPU features hardware-accelerated ray tracing to improve the accuracy of light reflections in rendered scenes. Hardware acceleration enables ray tracing to be four times faster than software rendering and provides much higher frame rates and thus a more immersive experience.
A new software feature aimed at improving gaming is Metal Effect Scaling, which combines the GPU and neural engine to deliver high-quality graphics while using less power.
There’s a lot packed into that little chip.
4. Samsung Exynos 2400
The Exynos 2400 chipset was first rumored for early 2023, and Samsung finally confirmed the processor's existence and some details in October ahead of the official launch of the Galaxy S24 line. Unlike the Galaxy S23 series, which exclusively features Qualcomm Snapdragon processors, the Galaxy S24 and S24 Plus are available in Snapdragon 8 Gen 3 and Exynos 2400 variants depending on the region. Meanwhile, the Samsung Galaxy S24 Ultra is still Snapdragon-only.
| Snapdragon 8 Gen 3 | Exynos 2400 |
CPU Config | 1x 3.3GHz (Cortex-X4) 3x 3.2GHz (Cortex-A720) 2x 3GHz (Cortex-A720) 2x 2.3GHz (Cortex-A520 Refresh) | 1x 3.2GHz (Cortex-X4) 2x 2.9GHz (Cortex-A720) 3x 2.6GHz (Cortex-A720) 4x 1.92GHz (Cortex-A520) |
GPU | Adreno (ray tracing support, Snapdragon Game Super Resolution) | Xclipse 940 (ray tracing support, FidelityFX Super Resolution) |
AI | Hexagon (fused scalar, tensor, and vector) Mixed precision INT8/INT16 INT4 support | AI Engine (2x NPU, 2x Shallow NPU) |
RAM support | LPDDR5X | LPDDR5X |
Storage support | UFS4.0 | UFS4.0 |
Camera support | • 200MP single shot • 108MP single camera @ 30fps • 64MP+36MP dual camera • Triple 36MP with zero shutter lag | • 320MP single shot • 108MP single camera @ 30fps • 64MP+32MP dual camera @ 30fps |
Video capture | 8K @ 30fps 4K @ 120fps | 8K @ 30fps 4K @ 120fps |
4G/5G Modem | X75 LTE/5G (integrated) 10,000Mbps down 3,500Mbps up | Exynos 5300 12,120 Mbps down 3,670 Mbps up |
Other networking | Bluetooth 5.4 Wi-Fi 7 [w/ FastConnect 7800], Wi-Fi 6/6E (802.11ax), Wi-Fi 5 (802.11ac), 802.11a/b/g/n, | Bluetooth 5.3 Wi-Fi 6/6E (802.11ax), Wi-Fi 5 (802.11ac), 802.11a/b/g/n [Assumed, others supported with hardware add-ons] |
Location | Galileo, Beidou, NavIC, GPS, GLONASS, QZSS | Galileo, Beidou, GPS, GLONASS |
Process | TSMC 4nm (N4P) | Samsung 4nm (LPP+) |
This is an unusual change from the usual Exynos/Snapdragon split, which occurred on a regional basis. The Galaxy S22, S22 Plus and S22 Ultra were equipped with Exynos 2200 chips in Europe and Snapdragon 8 Gen 1 in the US and other regions. Either way, the Exynos vs Snapdragon battle is back with a vengeance.
With the Samsung Galaxy S24 in hand, we were able to dive into all the common and unique features of the Exynos 2400. Here’s what you need to know
Samsung initially announced that the Exynos 2400 processor would offer a 1.7x performance improvement over the Exynos 2200. But how will this processor?
The Exynos 2400 uses the latest ARM processor cores to make the processor competitive with its competitors. According to rumors, the processor will be configured according to an exotic 1+2+3+4 scheme with a total of 10 cores.
The Exynos 2400 processor has a high-powered ARM Cortex-X4 processor clocked at 3.2 GHz, two Cortex-A720 cores clocked at 2.9 GHz, two more A720 cores clocked at 2.6 GHz and four energy-efficient A720 cores clocked at up to 1.92 GHz. . Interestingly, this differs from the 1+2+3+2 octa-core design of the Qualcomm Snapdragon 8 Gen 3. We expect some cache differences between the two Cortex-A720 clusters, but Samsung hasn’t disclosed this low-level information.
The move to the latest ArmV9.2 core means the Exynos 2400 will be 64-bit only. In any case, the Android ecosystem has moved almost entirely to 64-bit: the Play Store has been serving 64-bit apps since the end of 2021, and the Chinese stores have also moved recently. This change probably won’t affect the user experience too much, except for some legacy apps that may stop working.
One of the differentiating factors of the Exynos 2200 is the Xclipse 920 GPU, equipped with ray tracing capabilities built on AMD’s RDNA 2 graphics architecture that outperforms the competition in benchmarks, this first generation effort showed promise, and it would have been a shame not to. See how it evolved in 2023.
The Exynos 2400 has an Xclipse 940 GPU based on AMD’s RDNA 3 architecture, but we’ve seen significant improvements in ray tracing performance that can surpass 8 Gen 3. However, Qualcomm’s graphics. Unit still maintains a healthy advantage over classic rasterization.
Samsung says the Exynos 2400 has a 14.7x increase in AI computing performance compared to the Exynos 2200 and uses extra power with the S24’s Galaxy AI features. Galaxy AI enables speech-to-text conversion, real-time call translation, image generation and more using both on-device and cloud processing.
In terms of networking, Samsung announced its Exynos 5300 modem in early 2023, whose key features include 10Gbps download speed and 3.87 upload speed. This part is similar to the modem inside the Google Tensor G3. One of the key new features is two-way satellite technology, but Samsung didn’t see fit to include this feature in the Galaxy S24 series.
Finally, the Exynos 2400 supports 320MP photos and 8K60 video via ultra-fast UFS 4.0 memory, LPDDR5X RAM speeds up to 8.5Gbps and image processor. Samsung uses this memory space across the entire S24 lineup, but 8K video recording is limited to 30fps instead of 60fps.
Using the Galaxy S24 series, we tested the Snapdragon 8 Gen3 and Exynos 2400 versions of the phone, concluding that the Snapdragon version offers slightly better performance for gaming, while the Exynos 2400 offers slightly better battery life.
The Exynos 2400 isn’t at the top of the benchmark charts, but it’s not really far off. The processor scores are an improvement over last year’s model, and the chip isn’t far behind the 8th Gen 3. The PCMark Work 3.0 benchmark confirms this, with fairly similar scores for common workloads such as video editing and document manipulation.
The biggest discrepancy is observed in the graphics department. The Snapdragon models have a significant advantage in peak graphics performance, though the difference is less pronounced in real-world games that don’t tax the GPU as much. The exception is ray tracing workloads, where both chipsets start to be neck and neck, but the Exynos Galaxy S24 can pull ahead in long-term workloads.
Both chips have their pros and cons, but our testing didn’t reveal anything that would worry consumers in either region.