Apple A8X vs Apple A6x
Apple A8X
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The Apple A8X is a high-end ARM SoC (System on a Chip) introduced in October 2014 alongside the iPad Air 2. The three CPU cores are clocked slightly higher than the two inside the Apple A8 (+100 MHz). Apple claims a 40% improvement over the 1.3 GHz Apple A7 compared to just 20% from the A8. Furthermore, the A8X integrates a much more powerful GPU (2x 4-core PowerVR Series 6XT (Rogue) GXA6850) as well as a 128-bit LPDDR3 memory controller.
Architecture
With Cyclone 2, Apple has managed to improve the already high performance-per-clock of the original Cyclone core (Apple A7) by another 10 to 15 percent. Neither Qualcomm's Krait nor ARM's Cortex-A57 can compete with the resulting IPC. The exact design changes have not been revealed, but we would expect enlarged caches and registers as well as an optimized branch prediction. As an ARMv8 architecture, Cyclone 2 is 64-bit capable.
Performance
Compared to the previous Apple A7, the A8X offers about 20 - 70 percent more performance. Especially the multi-thread performance has been significantly improved thanks to the third CPU core, whereas the single-thread power is just slightly higher (~20 percent). According to Geekbench 3 scores, the A8X is the fastest mobile ARM-SoC as of late 2014. However, the chip clearly benefits from the 64-bit support in the iOS version of the benchmark. Without this advantage, Nvidia's Tegra K1 (Denver) dual-core is still somewhat faster in single-thread software (but slower in multi-thread tests).
Graphics
In contrast to previous speculations, the A8X integrates an 8-cluster PowerVR Series 6 (Rogue) GXA6850 consisting of two GX6450 GPUs (2x 4 clusters) instead of a single GX6650 (6 clusters). The name GXA6850 has been created by Anandtech, the design may also be called a GX6450MP2.
Each cluster offers four FP16 and two FP32 ALUs, leading to a compute power of about 230 GFLOPS FP32 at 450 MHz (clock rate estimated). The GXA6850 does not only beat the Qualcomm Adreno 420 (Snapdragon 805), but also the Nvidia Tegra K1 by a small margin. Thus, the GXA6850 is one of the fastest tablet GPUs as of 2014 and can handle even the most demanding mobile games in high resolutions. Among others, the GPU supports OpenGL 3.x/4.x, OpenGL ES 3.0 as well as DirectX 10.
Power Consumption
In contrast to previous Apple SoCs, the A8 und A8X are manufactured by TSMC instead of Samsung. Using a brand-new 20 nm process, the SoC consists of a whopping 3 billion transistors. Power consumption should be similar to competing high-end SoCs by Qualcomm or Samsung.
Apple A6x
► remove from comparisonThe Apple A6x is a dual-core-SoC (System on a Chip) with ARM compatible CPU cores (ARMv7s instruction set). Both can be clocked at up to 1400 MHz depending on the load. It is used in the iPad 4 and compared to the A6 in the iPhone 5, the A6x offers a faster GPU (PowerVR SGX544MP4).
The CPU-Performance of the A6x is similar to the Qualcomm Snapdragon S4 Pro MSM8960T, while the GPU is about as fast as the Adreno 320.
Model | Apple A8X | Apple A6x | ||||||||||||||||||||||||||||||||
Codename | Cyclone 2 | |||||||||||||||||||||||||||||||||
Clock | 1500 MHz | 1400 MHz | ||||||||||||||||||||||||||||||||
L1 Cache | 384 KB | |||||||||||||||||||||||||||||||||
L2 Cache | 2 MB | |||||||||||||||||||||||||||||||||
L3 Cache | 4 MB | |||||||||||||||||||||||||||||||||
Cores / Threads | 3 / 3 | 2 | ||||||||||||||||||||||||||||||||
Transistors | 3000 Million | |||||||||||||||||||||||||||||||||
Technology | 20 nm | 32 nm | ||||||||||||||||||||||||||||||||
Die Size | 128 mm2 | |||||||||||||||||||||||||||||||||
Features | ARMv8 Instruction Set, PowerVR GXA6850 (2x 4 Cluster Rogue), 128 Bit LPDDR3 Memory Controller | |||||||||||||||||||||||||||||||||
iGPU | PowerVR GX6650 | |||||||||||||||||||||||||||||||||
Architecture | ARM | ARM | ||||||||||||||||||||||||||||||||
Announced | ||||||||||||||||||||||||||||||||||
Series | Apple Apple A-Series | |||||||||||||||||||||||||||||||||
Series: Apple A-Series |
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Benchmarks
Average Benchmarks Apple A8X → 100% n=6
Average Benchmarks Apple A6x → 43% n=6

* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation