Tracked topic
Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
… The website relies on Qwen 3.5 models for benchmarking: Qwen3.5-9B – Required Small device baseline Qwen3.5-27B – Required Mid-range device baseline Qwen3.5-35B-A3B MoE – Optional MoE performance reference Qwen3.5-122B-A10B MoE – Optional Large memory device reference Qwen3.5-397B-A17B MoE – Option… …
… Both are designed for local AI workloads, and AMD shared a few advantageous benchmark results where they pitted the two platforms against each other for a range of AI models: GLM 7.4 Flash-30B-A3B, GPT-OSS-120B, Qwen 3.5-122B-A10B, and Qwen 3.6-35B-A3B. …
… They also shared YOLO11n model benchmarks against other platforms like the Raspberry Pi 5, Rockchip RK3588, and NVIDIA Jetson Orin Nano 4GB at 33 TOPS, not 67 TOPS . Qwen3-VL-2B benchmark and efficient data were also provided. …
… Seeed Studio also shared some AI benchmarks for reference: Vision CNN – YOLO11 @ 43 FPS 640 × 640 LLM – Qwen2 0.5B W8A8 — 13.63 tokens/s VLM – InternVL3-1B — 6.08 tokens/s STT – Whisper Base with real-time support RTF ~0.40–0.50 TTS – MMS-TTS with real-time support RTF ~0.09–0.18 The reCamera Pro c… …
… K3 Pico-ITX SBC benchmarks We already ran some headless benchmarks on a remote SpacemiT K3 platform last January, but let’s run them again with sbc-bench.sh to see if anything has changed. …
… In this review, we will report our experience running Ubuntu 26.04 on the GEEKOM IT13 Max, after going through feature testing, running system benchmarks and AI benchmarks on the CPU, GPU, and NPU, checking out storage and USB performance, testing 2.5GbE and WiFi 6/7, stress testing the mini PC, an… …
… Qwen 2.5, Gemma 3, PaliGemma, and the GPT-2 / GPT-4 family models work through the same Net API used for a YOLO model. …