Android
Qualcomm Snapdragon 8 Gen 1 vs Mediatek Dimensity 9000 Which is Best : See Why Mediatek is winning this Year
Qualcomm used to have the best-performing Android chipsets, and it still does. AnTuTu’s performance charts, on the other hand, show that the competition is more intense than ever. And it’s even smaller than before – HiSilicon is no longer a factor, and Samsung simply doesn’t sell Exynos flagships in China (where AnTuTu is based, so the charts are skewed towards that market).
Starting with the flagships, Red Magic 7 Pro, iQOO 9 (Chinese version), and iQOO 9 Pro are the top three Snapdragon 8 Gen 1 phones.
The Dimensity 9000 from MediaTek, on the other hand, is knocking on the door. The Redmi K50 Pro is ranked fourth (it should be known as the Poco F4), and the Oppo X5 Pro (for China) is ranked sixth. The rest of the Top 10 are Snapdragon 8 Gen 1 devices, but the Dimensity is only a few percentage points behind the best.
The AnTuTu team attributes the Red Magic’s high score to its superior cooling – it’s a gaming phone with a built-in fan – which allowed the chipset to run at high frequencies. The iQOOs are also gaming phones, and while they lack fans, their cooling is more robust than that of most phones.
AnTuTu writes that Oppo uses a more conservative governor in the two Dimensity 9000 models, which keeps the Find X5 Pro’s performance slightly behind the Redmi. The K50 Pro did not automatically enter performance mode during the test, which prevented it from exceeding one million.
The battle between the Snapdragon 8 Gen 1 and the Dimensity 9000 is not one-sided. The MediaTek chip outperformed the Qualcomm chip in CPU performance, but its Mali-G710 MC10 GPU lagged behind the Qualcomm chip’s Adreno 730. That’s not surprising given that the Adreno has long been the most efficient GPU for Android.
Snapdragon 8 gen 1 (LEFT) vs Dimensity 9000(RIGHT) specifications:
CPU
| Architecture | 1x 3 GHz – Cortex-X2 3x 2.5 GHz – Cortex-A710 4x 1.8 GHz – Cortex-A510 | 1x 3.05 GHz – Cortex-X2 3x 2.85 GHz – Cortex-A710 4x 1.8 GHz – Cortex-A510 |
| Cores | 8 | 8 |
| Frequency | 3000 MHz | 3050 MHz |
| Instruction set | ARMv9-A | ARMv9-A |
| L1 cache | – | 1024 KB |
| L2 cache | 1 MB | 3.5 MB |
| L3 cache | 4 MB | 8 MB |
| Process | 4 nanometers | 4 nanometers |
Graphics
| GPU name | Adreno 730 | Mali-G710 |
| Architecture | Adreno 700 | Valhall 3 |
| GPU frequency | 818 MHz | 850 MHz |
| Execution units | 3 | 10 |
| Shading units | 768 | – |
| Vulkan version | 1.1 | 1.1 |
| OpenCL version | 2.0 | 2.0 |
| DirectX version | 12 | 12 |
Memory
| Memory type | LPDDR5 | LPDDR5X |
| Memory frequency | 3200 MHz | 3750 MHz |
| Bus | 4x 16 Bit | 4x 16 Bit |
| Max bandwidth | 51.2 Gbit/s | 60 Gbit/s |
| Max size | 24 GB | – |
Multimedia (ISP)
| Neural processor (NPU) | Hexagon | Yes |
| Storage type | UFS 3.1 | UFS 3.1 |
| Max display resolution | 3840 x 2160 | 2960 x 1440 |
| Max camera resolution | 1x 200MP | 1x 320MP, 3x 32MP |
| Video capture | 8K at 30FPS, 4K at 120FPS | 8K at 24FPS, 4K at 120FPS |
| Video playback | 8K at 30FPS, 4K at 120FPS | 8K at 24FPS, 4K at 120FPS |
| Video codecs | H.264, H.265, VP8, VP9 | H.264, H.265, AV1, VP9 |
| Audio codecs | AAC, AIFF, CAF, MP3, MP4, WAV | AAC LC, MP3, HE-AACv1, HE-AACv2, FLAC |
Connectivity
| Modem | Snapdragon X65 | – |
| 4G support | LTE Cat. 24 | LTE Cat. 24 |
| 5G support | Yes | Yes |
| Download speed | Up to 2500 Mbps | – |
| Upload speed | Up to 316 Mbps | – |
| Wi-Fi | 6 | 6 |
| Bluetooth | 5.2 | 5.3 |
| Navigation | GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC | GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC |
Info
| Announced | December 2021 | November 2021 |
| Class | Flagship | Flagship |
| Model number | SM8450 | MT6983 |
GeekBench 5
The GeekBench test shows raw single-threaded and multithreaded CPU performance
Conclusion
Snapdragon 8 GEN 1is manufactured by Samsung , while Mediatek Dimensity 9000 is made by TSMC
Undoubtedly Mediatek Dimensity 9000 is a better SOC This time With better thermals and Less Throttling. However Snapdragon 8 gen 1 is still slightly better in raw power and GPU with Adreno 730 .
For Now Mediatek Dimensity 9000 is a better pick until Snapdragon do wonders with Snapdragon 8 gen 1 Plus Which is made by TSMC .
source: Gsm Arena
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Google Maps Ask Maps Feature
Google Maps Ask Maps feature is a new AI-powered capability introduced by Google that allows users to ask conversational questions directly within the Maps app. Powered by Google’s Gemini AI, this feature transforms the navigation app into a smarter travel assistant capable of understanding complex queries and providing personalized recommendations.
Traditionally, Google Maps required users to search using simple keywords like “restaurants near me” or “gas station nearby.” With the Ask Maps feature, users can now ask detailed questions such as finding quiet cafés with charging points, planning a scenic road trip, or discovering less crowded places to visit. The system analyzes Maps data, including reviews, photos, and location insights, to deliver accurate and contextual results.
How Gemini AI Improves Google Maps
The integration of Gemini AI enables Google Maps to process natural language queries more effectively. Instead of multiple searches, users can ask complex questions in one go and receive detailed responses tailored to their needs. This conversational experience makes exploring new places easier and more intuitive.
For example, a traveler can ask Maps to suggest a route with scenic stops or find restaurants that match specific preferences. Gemini evaluates various factors such as location data, ratings, and user preferences to generate personalized suggestions. Over time, the system can adapt to user behavior and deliver more relevant recommendations.
Immersive Navigation Enhances the Driving Experience
Alongside Ask Maps, Google has also introduced Immersive Navigation, a visual upgrade designed to improve driving guidance. This feature provides detailed 3D visuals of roads, terrain, buildings, and landmarks, making it easier for drivers to understand complex intersections and route changes.
The navigation interface can highlight important elements like lanes, crosswalks, traffic signals, and nearby landmarks. These enhancements aim to provide better situational awareness and reduce confusion during navigation.
Availability and Future Expansion
Google has begun rolling out the Ask Maps feature on Android and iOS devices in the United States and India, with plans to expand to additional regions and desktop platforms in the future.
This update represents one of the most significant upgrades to Google Maps in years, positioning the platform as an intelligent travel companion rather than just a navigation tool. By combining AI-driven recommendations with immersive navigation, Google aims to simplify how people discover places, plan trips, and move around cities.
Also Read: AltStore PAL Joins the Fediverse: A New Era for Decentralized App Discovery on iOS
Introduction
Redmi K90 Ultra is already generating buzz online after a new leak revealed key specifications of the upcoming flagship smartphone. According to recent reports, the device could feature a powerful MediaTek chipset, an ultra-smooth display, and a very large battery capacity. If the leaked information proves accurate, the Redmi K90 Ultra could become one of the most performance-focused smartphones in its segment.
The new leak suggests that Xiaomi’s Redmi brand is preparing to push hardware boundaries, particularly in gaming performance and battery life.
Redmi K90 Ultra Display and Design
Reports indicate that the Redmi K90 Ultra may feature a large OLED display with a 165Hz refresh rate. Such a high refresh rate would make the device suitable for gaming and smooth scrolling, placing it ahead of many current flagship smartphones that typically offer 120Hz panels.
The display is also expected to deliver high brightness levels and improved color accuracy, making it suitable for multimedia consumption and gaming. With thin bezels and a premium design approach, the Redmi K90 Ultra could follow the design language seen in recent Redmi flagship models.
One of the most notable highlights of the Redmi K90 Ultra leak is the MediaTek Dimensity 9500 chipset. This processor is expected to offer flagship-level performance, improved AI capabilities, and efficient power management.
The smartphone is also rumored to include a massive battery exceeding 8,000mAh, which could significantly extend battery life compared to most premium smartphones currently available. Such a large battery would make the device attractive for gamers and heavy users who require long screen-on time.
Combined with optimized software and fast charging support, the Redmi K90 Ultra could offer a balance between high performance and extended battery endurance.
Expected Launch and Market Position
While Xiaomi has not officially confirmed the Redmi K90 Ultra yet, leaks suggest the company is preparing the device as part of its next generation K-series lineup. The smartphone is expected to target power users who prioritize performance, battery capacity, and display quality.
If the rumored specifications are accurate, the Redmi K90 Ultra could compete strongly in the flagship killer category and attract gamers and tech enthusiasts looking for high performance at a competitive price.
Also Read: Gemini Embedding 2: Google Introduces Advanced AI Model for High-Quality Text Embeddings
Android
Google Introduces Android Bench: New Benchmark Ranks Best AI Models for Android App Development
What is Android Bench and Why Google Created It
Android Bench is a newly introduced benchmark developed by Google to evaluate how effectively artificial intelligence models can assist in Android app development. The tool is designed to measure the real-world performance of AI coding models by testing their ability to complete practical Android development tasks. With AI becoming increasingly integrated into software development workflows, benchmarks like Android Bench aim to provide developers with a clearer understanding of which models perform best.
Google created Android Bench to simulate realistic development scenarios rather than simple coding challenges. The benchmark focuses on tasks commonly encountered by Android developers, including working with Jetpack Compose, implementing application architecture, handling asynchronous operations with coroutines, and managing UI logic. By evaluating AI models in these real-world conditions, the benchmark provides a more accurate representation of how useful they are for developers.
According to the benchmark results, several leading AI models have already been evaluated. Google’s Gemini 3.1 Pro currently ranks at the top of the leaderboard, demonstrating strong performance in generating Android-specific code and solving complex development problems. Other high-performing models include Claude Opus 4.6, GPT-5.2 Codex, Opus 4.5, and Gemini 3 Pro. These models were tested on their ability to generate functional code, follow Android development best practices, and solve structured programming challenges.
The introduction of Android Bench highlights the growing competition among AI companies to create models that can assist developers more effectively. As AI coding assistants become more common in integrated development environments, benchmarks like this help developers choose tools that can reliably speed up development while maintaining code quality.
Another important aspect of Android Bench is its focus on practical evaluation. Instead of simply checking whether a model can generate code snippets, the benchmark analyzes whether the generated code actually works in a realistic Android project environment. This ensures that the rankings reflect real usability rather than theoretical capabilities.
As AI continues to transform the software development landscape, tools like Android Bench could become essential for measuring progress in AI-assisted programming. By providing transparent rankings and standardized testing conditions, Google’s benchmark may influence how developers and companies evaluate AI coding tools in the future.