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Apple’s A19 leads the reported CPU benchmarks in this comparison. NanoReview’s Geekbench 6 figures are higher for A19 in both single-core and multi-core tests, but they come from different phones and sample sets—not a controlled test of both chips in equivalent devices. The Snapdragon 8s Gen 3 has a different platform profile, including Qualcomm’s Adreno graphics, X70 modem and FastConnect 7800 connectivity. For a buying decision, compare complete phones rather than treating a chip score as a guarantee of speed, battery life or gaming performance.
At a glance: A19 leads the reported CPU scores
The available head-to-head Geekbench 6 comparison favors Apple A19 in both CPU measures. NanoReview reports 3,692 for A19 versus 1,923 for Snapdragon 8s Gen 3 in single-core, and 9,454 versus 5,179 in multi-core. These are source-reported comparison figures, not results from a new same-device test; the comparison lists 9 A19 results and 64 Snapdragon 8s Gen 3 results. Treat them as evidence of the ranking in that dataset, not a precise prediction of how every phone will perform.
Apple documents A19 in the iPhone 17. Snapdragon 8s Gen 3 is a Qualcomm platform used in phones whose design and configuration vary by manufacturer. That difference matters: a benchmark measures a chip operating inside a particular device, with its software and thermal limits.
Do these 3 things before closing this tab:
1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteSpecifications: what the two platforms include
| Specification | Snapdragon 8s Gen 3 | Apple A19 |
|---|---|---|
| Device context | Qualcomm mobile platform; the phone and configuration depend on the manufacturer. | Used in Apple iPhone 17. |
| CPU | Kryo CPU architecture, with speeds up to 3 GHz; comparison listings describe 8 cores. | 6 cores: 2 performance cores and 4 efficiency cores. |
| Graphics | Adreno GPU; Qualcomm lists Vulkan 1.3 API support. | 5-core GPU with hardware-accelerated ray tracing. |
| Manufacturing process | Qualcomm lists 4 nm. | Apple describes third-generation 3-nanometer technology. |
| Wireless connectivity | X70 5G modem and FastConnect 7800, with Wi-Fi 7 support. | iPhone 17 includes Apple’s N1 wireless chip; Apple lists Wi-Fi 7, Bluetooth 6 and Thread. |
| AI and imaging | Qualcomm describes Hexagon AI features and an 18-bit Spectra ISP. | Apple lists a 16-core Neural Engine, Neural Accelerators within GPU cores and an updated ISP. |
These specifications describe different parts of each platform, not an apples-to-apples performance scale. Core counts and clock speeds alone do not establish which CPU is faster; process labels are manufacturer descriptions, not direct measures of speed or efficiency. GPU APIs and device implementations also differ, and AI features do not guarantee identical app support or workloads across Android and iOS.
#1 Best Overall
- [Qualcomm QCS6490 flagship core support] Rubik Pi 3 SBC as the first AI development board equipped with 6nm qua-lcomm QCS6490, achieves intelligent computing power scheduling with triple-cluster CPU architecture (1×2.7GHz + 3×2.4GHz + 4×1.9GHz). Coupled with a 12TOPS NPU, it delivers 300% higher performance than Rasp berry Pi 5. The edge-optimized hardware design supports one-click TensorFlow/PyTorch model deployment, eliminating developers' computing power constraints.
- [Fast Response, Stable and Durable] Rubik Pi 3 Single Board Computer is equipped with 8GB of LPDDR4x memory, which significantly improves the efficiency of multitasking and AI computing; and 128GB of UFS 2.2 flash memory, with a measured sequential read speed of 1,050MB/s and a write speed of 240MB/s, which is a performance increase of more than 300% compared to the traditional SD card solution. This configuration is perfectly adapted to edge computing, robot control and other high-intensity application scenarios, and fully meets the dual needs of developers for storage performance and reliability.
- [Multi-OS Development Platform] The RUBIK Pi 3 Single Board Computer supports multiple operating systems including qua-lcomm Open Source Linux, Android, Ubuntu for qua-lcomm IoT platforms, and Debian 12. Featuring a compact 100×75mm lightweight design, it streamlines both prototyping and mass production workflows.
- [Industrial Grade Multimedia Processor] The RUBIK Pi 3 AI development board is capable of hardware-accelerated 4K60 H.264/H.265/VP9 decoding and 4K30 encoding.The Spectra 570 ISP supports advanced imaging configurations including a single 64-megapixel or three 22-megapixel cameras, while the 12TOPS NPU enables real-time AI processing.
- [8-core open-source development board] RUBIK Pi 3 development board features one 2.7 GHz qua-l-comm Kryo 670 Gold Plus CPU core, three 2.4 GHz qua-l-comm Kryo 670 Gold CPU cores and four 1.9 GHz qua-l-comm Kryo 670 Silver CPU cores, which is actually a qua-lcomms upgrades for the Cortex-A78 and Cortex-A55.
Geekbench 6 results
| Geekbench 6 measure | Snapdragon 8s Gen 3 | Apple A19 | Reported leader |
|---|---|---|---|
| Single-core | 1,923 | 3,692 | A19 |
| Multi-core | 5,179 | 9,454 | A19 |
Scores and sample counts are from NanoReview’s comparison, accessed in 2026; its listing includes 64 Snapdragon 8s Gen 3 results and 9 A19 results. The unequal sample sizes and differing device conditions mean the figures should not be read as a laboratory-controlled chip test. They do support the narrower conclusion that A19 scores higher in the reported comparison.
Geekbench’s live mobile chart also lists iPhone 17 with Apple A19. Live chart values change as submissions accumulate, so a chart score is not a fixed result or a controlled test. Tom’s Guide separately measured an iPhone 17 at 3,701 single-core and 9,460 multi-core in Geekbench 6, plus 130.97 fps in 3DMark Wild Life Original Unlimited. Those are review measurements for that phone, not NanoReview’s pooled chip comparison. Tom’s Guide’s Galaxy S25 comparison uses Snapdragon 8 Gen 3, not Snapdragon 8s Gen 3.
Rank #2
- [Qualcomm QCS6490 flagship core support] Rubik Pi 3 SBC as the first AI development board equipped with 6nm qua-lcomm QCS6490, achieves intelligent computing power scheduling with triple-cluster CPU architecture (1×2.7GHz + 3×2.4GHz + 4×1.9GHz). Coupled with a 12TOPS NPU, it delivers 300% higher performance than Rasp berry Pi 5. The edge-optimized hardware design supports one-click TensorFlow/PyTorch model deployment, eliminating developers' computing power constraints.
- [Fast Response, Stable and Durable] Rubik Pi 3 Single Board Computer is equipped with 8GB of LPDDR4x memory, which significantly improves the efficiency of multitasking and AI computing; and 128GB of UFS 2.2 flash memory, with a measured sequential read speed of 1,050MB/s and a write speed of 240MB/s, which is a performance increase of more than 300% compared to the traditional SD card solution. This configuration is perfectly adapted to edge computing, robot control and other high-intensity application scenarios, and fully meets the dual needs of developers for storage performance and reliability.
- [Multi-OS Development Platform] The RUBIK Pi 3 Single Board Computer supports multiple operating systems including qua-lcomm Open Source Linux, Android, Ubuntu for qua-lcomm IoT platforms, and Debian 12. Featuring a compact 100×75mm lightweight design, it streamlines both prototyping and mass production workflows.
- [Industrial Grade Multimedia Processor] The RUBIK Pi 3 AI development board is capable of hardware-accelerated 4K60 H.264/H.265/VP9 decoding and 4K30 encoding.The Spectra 570 ISP supports advanced imaging configurations including a single 64-megapixel or three 22-megapixel cameras, while the 12TOPS NPU enables real-time AI processing.
- [8-core open-source development board] RUBIK Pi 3 development board features one 2.7 GHz qua-l-comm Kryo 670 Gold Plus CPU core, three 2.4 GHz qua-l-comm Kryo 670 Gold CPU cores and four 1.9 GHz qua-l-comm Kryo 670 Silver CPU cores, which is actually a qua-lcomms upgrades for the Cortex-A78 and Cortex-A55.
Why AnTuTu does not settle the cross-platform comparison
NanoReview reports AnTuTu 11 totals of 1,797,821 for Snapdragon 8s Gen 3 and 2,156,126 for A19, but explicitly warns that iOS and Android results are not directly comparable. Those totals should not be used as a clean cross-platform winner declaration. Benchmark methodology, operating system and device implementation all affect what a score means.
What Apple’s A19 claims do—and do not—show
Apple says A19’s 6-core CPU is 1.5 times faster than the A15 Bionic in iPhone 13, and its 5-core GPU is more than twice as fast. Those are Apple’s claims against the A15 baseline, not comparisons against Snapdragon 8s Gen 3. They provide context for Apple’s stated generational gains but do not independently verify the head-to-head results above.
Rank #3
- ESP32-C6 GEEK Development Board,Suitable for creative WF 6 and BT applications based on ESP32-C6.
- Integrated LCD display, TF card slot, BOOT button and other peripheral interfaces.
- Adopts high-performance 32-bit RISC-V processor, up to 160MHz main frequency.
- Onboard 3PIN UART header, 3PIN GPIO header and 4PIN I2C header.
- Equipped with plastic case and cables.
Does the benchmark winner mean the better phone?
No. A higher synthetic CPU score does not establish better battery life, sustained gaming performance or overall value. Those outcomes depend on the specific phone’s cooling, power management, software, workload and configuration. The available figures do not establish an equivalent-device comparison for sustained performance or battery life.
When choosing a handset, compare the actual models on the factors that affect your use:
Rank #4
- Product advantages:Core board module programming development board's the speed of developing product prototypes is faster, the program is easier to achieve modularity, and maintenance is more convenient
- More suitable for beginners:Programming development board does not require complicated settings, installation of special software and additional hardware, or compilation and downloading. Programming in any text editor via a USB
- Most of the hardware functions:Core board module programming development board can be driven by a single command, and can be developed quickly without understanding the underlying hardware. Very good for product prototyping and software migration, making the development process easy and full of fun
- Programming development board includes 4 LEDs on the for pyboard, the USR button, the reset button and the booto button, that can indicate and use to interact with the system, built-in USB, with flash and reset switches, easy to program
- Applicable users:Core board module programming development board is a program development learning tool for makers, DIY enthusiasts, and engineers
- Performance over time: Look for measurements of sustained workloads and thermal behavior for the specific phone, not just a peak score.
- Battery: Use whole-phone battery tests and consider display size, capacity and software; chip benchmarks alone cannot rank endurance here.
- Gaming: Check performance in the games and graphics settings you use. GPU APIs and implementation differ between platforms.
- Software and features: Confirm the apps, operating-system features and update support you need on the particular device.
- Connectivity and configuration: Verify regional network bands and the exact handset’s wireless features rather than assuming every phone built around a platform is identical.
- Price and availability: Compare current offers for the complete phones. The platform specifications do not identify a representative current Snapdragon 8s Gen 3 handset or its regional configuration.
Verdict
If the question is which chip has the higher reported CPU benchmark scores in the cited comparison, the answer is Apple A19. If the question is which phone is faster, lasts longer or is the better purchase, these chip-level results are not enough: compare the specific iPhone 17 with a verified Snapdragon 8s Gen 3 handset using device-level tests and the features that matter to you.
Quick Recap
Best Value
- UNLEASH 12 TOPS AI POWER: Powered by the advanced Qualcomm QCS6490 chipset, this development board delivers a staggering 12 TOPS of AI computing performance. Perfect for demanding edge AI, machine learning, and computer vision projects, ensuring lightning-fast processing and real-time analytics.
- MASSIVE MEMORY & STORAGE: Equipped with 8GB of high-speed RAM and 128GB of ultra-fast UFS storage. Experience seamless multitasking, rapid data access, and ample space for your complex algorithms, large datasets, and heavy-duty applications without any bottlenecks.
- SEAMLESS CONNECTIVITY & I/O: Stay connected with robust Wi-Fi 5 and Bluetooth 5.2 capabilities. Features versatile I/O options including HDMI for high-res displays and USB 3.1 for ultra-fast data transfer, making it the ultimate hub for your IoT ecosystem.
- MULTI-OS FLEXIBILITY: Designed for true developers, this board offers comprehensive Multi-OS support. Whether you prefer the versatility of Android or the robust control of Linux, seamlessly switch and deploy the environment that best suits your project needs.
- 🛠️ THE ULTIMATE IOT & AI CATALYST: Transform your ideas into reality. From smart home automation and industrial robotics to advanced AI prototyping, this board provides the enterprise-grade reliability and cutting-edge specs required to build the future of technology.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
