https://llmobile.kavents.com/tags/samsung/A concise news ticker covering AI on mobile devices, local models, apps and hardware.en-GBhttps://llmobile.kavents.com/ticker/gemini-nano-4-first-devices/https://llmobile.kavents.com/ticker/gemini-nano-4-first-devices/Thu, 27 Aug 2026 16:00:00 +0200Google’s ML Kit GenAI documentation now lists the first devices running nano-v4, 9to5Google reports. The list covers the Pixel 11, Pixel 11 Pro, Pixel 11 Pro XL and Pixel 11 Pro Fold, plus Samsung’s Galaxy Z Flip8, Galaxy Z Fold8 and Galaxy Z Fold8 Ultra. The same documentation sets Nano v3 or greater as the requirement for Gemini Intelligence, Google’s on-device feature set. According to the report, that requirement first appeared in May 2026, was removed, and has now been reinstated. Listed hardware requirements include 12 GB or more of RAM, a qualified flagship system-on-chip, five or more OS upgrades and six years of security support. Gemini Intelligence features named in the report include Rambler and Proactive Assistance on Pixel 11, and task automation across more than 40 apps on Samsung’s foldables. Source: https://9to5google.com/2026/08/27/gemini-intelligence-nano-4/ Read the article: https://llmobile.kavents.com/ticker/gemini-nano-4-first-devices/GoogleAndroidPixelSamsungGemini Nanohttps://llmobile.kavents.com/ticker/gemini-nano-4-mlkit-prompt-api/https://llmobile.kavents.com/ticker/gemini-nano-4-mlkit-prompt-api/Wed, 22 Jul 2026 18:00:00 +0200Google’s Android developer blog states that Samsung’s new foldable devices come with Gemini Nano 4, which it calls its latest on-device model. The post credits Nano 4 with support for more than 140 languages and better multimodal understanding. Apps reach the model through ML Kit’s Prompt API, which sends natural language requests on-device to Gemini Nano. It takes text, or a combination of image and text, and returns text or structured output. Google names structured output and thinking mode as the features to use for on-device intelligence. The ML Kit release notes dated 14 July 2026 record the structured output API, system instructions and thinking mode arriving in the Prompt API, along with multi-image support and an output token limit raised to 4,096 tokens. A note dated 21 July records a fix for Gemini Nano v4 compatibility in the Prompt API on non-Pixel devices. The Prompt API moved from alpha to beta in January 2026 and carries no service level agreement or deprecation policy. The post also points developers to app functions, which share an app’s capabilities with the Gemini Intelligence system. Its remaining sections cover adaptive layouts, fold-aware design, CameraX and Wear OS widgets. Source: https://android-developers.googleblog.com/2026/07/optimize-galaxy-screen-sizes.html Read the article: https://llmobile.kavents.com/ticker/gemini-nano-4-mlkit-prompt-api/GoogleAndroidSamsungGemini NanoDeveloper toolshttps://llmobile.kavents.com/ticker/llm-inference-at-the-edge/https://llmobile.kavents.com/ticker/llm-inference-at-the-edge/Tue, 24 Mar 2026 19:28:00 +0100Four authors at Conscious Engines published a benchmark of Qwen 2.5 1.5B at 4-bit across four edge platforms on March 24, 2026, feeding each device the same 258-token prompt 20 times in a row with a 1-second gap instead of once. On an iPhone 16 Pro the first two runs peak at 40.49 tokens per second, and from run 17 onwards the phone holds a plateau of 23.67 tok/s, which the authors put at 41.5 percent below that peak. The iPhone passes through the three thermal states iOS reports to an app. Runs 1 and 2 sit in Normal and average 36.83 tok/s, runs 3 to 16 sit in Warm and average 24.96 tok/s, and runs 17 to 20 sit in Hot at 23.67 tok/s with a variation of 1.2 percent. The authors write that the 1-second gap allows no thermal recovery, and they measure 5 percent of battery drained over the 20 runs, which they project to roughly 400 replies of this length per charge. A Samsung Galaxy S24 Ultra degrades more gently in the same test. Its Adreno 750 GPU boosts to 1,000 MHz on runs 4 and 5 for a peak of 12.21 tok/s, then steps down to a 720 to 770 MHz plateau from run 8 where the authors measure 10.38 tok/s, 15 percent off the peak, with a low of 9.55 tok/s on the final run. They stress that reaching this plateau took deliberate tuning, with the display off, the context capped at 2,048 tokens and MLC-LLM’s prefill chunk cut to 128 tokens, and that earlier unconstrained runs hit an OS-enforced GPU frequency floor. Neither phone ran the model on its NPU. The paper states that MLX dispatches to the A18 Pro GPU through Metal and does not target Apple’s Neural Engine, and that the S24 Ultra ran through MLC-LLM on the Adreno GPU, leaving the Snapdragon 8 Gen 3’s Hexagon NPU outside the measurement. The one NPU that did run the model, a Hailo-10H module in a Raspberry Pi 5, was also the only part that never throttled, holding 6.914 tok/s across all 20 runs with a variation of 0.04 percent at under 2 W, its CPU at 52.7°C and the NPU at 58.5°C, with attention layers that hailo-ollama does not offload falling back to the Pi’s Cortex-A76 CPU. A user running llama.cpp’s Hexagon NPU backend on a Snapdragon 8 Gen 3 phone reported 12.5 tok/s of generation on Gemma 3 4B and said the phone stayed cool. A laptop RTX 4050 on battery led on speed at 131.7 tok/s and 34.12 W, its GPU climbing from 55°C to 70°C without throttling. Energy per token comes out at 270.5 mJ for the Hailo module measured across the whole system, 297.3 mJ for the RTX 4050 measured at the GPU, and 143.0 mJ for the S24 Ultra plateau derived from the Android fuel gauge with the display off. The authors state that the three readings differ in scope and call the resemblance suggestive rather than settled, and report no energy figure for the iPhone because iOS exposes no per-component power reading. They tested one model, one prompt and one unit per platform across four different runtimes, and describe the results as characterising hardware and software together rather than hardware on its own. Source: https://arxiv.org/abs/2603.23640 Read the article: https://llmobile.kavents.com/ticker/llm-inference-at-the-edge/BenchmarksNPUiPhoneSamsungResearchhttps://llmobile.kavents.com/ticker/galaxy-s24-gemini-nano/https://llmobile.kavents.com/ticker/galaxy-s24-gemini-nano/Wed, 17 Jan 2024 20:00:00 +0100Google announced on January 17, 2024 that the Galaxy S24 series runs Gemini Nano on device, which made it the first phone line outside the Pixel 8 Pro to do so. Google names Magic Compose in Google Messages as the feature that runs locally, and states that the data does not leave the phone. Image: Google. The rest of the announced features run in the cloud. Google lists Gemini Pro behind summarisation in Samsung Notes and Voice Recorder as well as keyboard features, with Generative Edit in the Gallery app built on Imagen 2. Gemini Ultra was still in testing at the time. The launch also introduced Circle to Search, a gesture that searches whatever is circled or highlighted on screen without switching apps. Samsung published its own account of the launch on the Samsung Newsroom. Source: https://blog.google/products/android/google-ai-samsung-galaxy-s24/ Read the article: https://llmobile.kavents.com/ticker/galaxy-s24-gemini-nano/SamsungGoogleGemini NanoAndroid