The Samsung Exynos 2400 is the first to use FOWLP technology for improved thermal management
Samsung presented these days Exynos 2400 Deca-Core the processor that powers the Galaxy S24 and S24+ smartphones in European countries. The company stated that it was Exynos 2400 the first Exynos processor to use Fan-out Wafer Level Package (FOWLP) to improve thermal management.
Fan-out Wafer Level Package (FOWLP) provides more space for I/O connections, enabling fast and efficient transmission of electrical signals. Samsung stated that the Exynos 2400 achieved significant improvements in thermal management by developing packaging with lower thermal resistance, while allowing for a smaller form factor, so the device remains cooler even during long-term use of applications and intensive gaming sessions. Fonearena.
FOWLP provides a 23% increase in thermal resistance in single-core operation and an 8% improvement in multi-core operation compared to a flip-chip package, while providing up to 40% smaller form factor and up to 30% thickness reduction by eliminating the substrate.
According to reports, Samsung Galaxy S24+ powered by Exynos 2400 delivers better performance in 3D Mark Solar Bay Stress compared to Samsung Galaxy S24 Ultra powered by Snapdragon 8 Gen 3 for Galaxy. However, we have to distance ourselves from this information until official comparative tests appear.
Other reports say that the hexa-core Samsung Xclipse 940 GPU in the Exynos 2400 achieves the highest score of 4231 in the 3D Mark Wildlife extreme test, on par with the Apple A17 Pro, and 2 times better than the Exynos 2200 used in the Galaxy S22.
Earlier rumors claimed that the power consumption of the Xclipse 940 in the Exynos 2400 was high. Additionally, the GPU has seen a slight boost in the Snapdragon 8 Gen 3 version of the Galaxy. According to reports, the Adreno 750 GPU reaches speeds of up to 1000MHz compared to 903MHz in the stock version.
Samsung's Exynos 2400 uses its own 4LPP+, which is inferior in performance compared to Snapdragon using TSMC's N4P process, but power consumption is almost similar, at least for the GPU, reports claim.