The Rockchip RK3288 is a mid-range ARM SoC for Android and Chrome OS mobile systems. It integrates four Cortex-A12 cores clocked at up to 1.8 GHz. ARM calls these cores Cortex-A17 due to them having very similar performance levels. The SoC includes an ARM Mali-T760 MP4 (also called Mali-T764) GPU clocked at 600 MHz and a dual-channel DDR3, DDR3L, LPDDR2, LPDDR3 memory controller.
The ARM Cortex-A12 is the successor to the Cortex-A9 and is based on a 32 Bit ARMv7-A microarchitecture. A single A12 core should be roughly 40 % more powerful than an A9 core according to ARM.
The integrated video engine supports encoding of H.264, VP8, and MVC videos up to 1080p. Decoding is supported for videos up to 4K H.264 and 10 Bit H.265.
The chip is manufactured under a 28 nm HKMG process.
The Renesas MP5232 is an entry level ARM Cortex-A9 dual-core SoC with integrated LTE cat. 4 radio. It aims at "cheap" Android based smartphones with LTE between 150 and 300 Dollars. Both CPU cores are clocked at up to 1.5 GHz, although e.g. in the Samsung Galaxy Core LTE SM-G386F they are limited to 1.2 GHz. In addition to the ARM processor cores, the MP5232 features a PowerVR SGX544 graphics card, LTE cat. 4 / DC-HSPA+ 3G / Edge radio, 1080p video de- and encoder, and a 20 MP ISP.
The Rockchip RK3188 is a fast ARM SoC primarily designed for tablets. It integrates four ARM Cortex A9 cores with NEON extension and a clock speed of up to 1.8 GHz, a Mali-400 MP4 graphics card (up to 600 MHz, 24 GFLOPS) and a low-power (LP-)DDR2/DDR3 memory controller. Due to the high clock rates, the performance of the CPU and GPU is superior to other Cortex-A9 quad-cores such as the Nvidia Tegra 3 and Samsung Exynos 4412. These high frequencies are possible due to the 28nm process (TSMC). However, this results in high power consumption and is thus not suited for compact smartphones.
- Range of benchmark values for this graphics card - Average benchmark values for this graphics card * Smaller numbers mean a higher performance 1 This benchmark is not used for the average calculation
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#14 min, max, avg, median took s +0.104s ... 0.26s