All new models iPhone run on the latest A12 Bionic processor Apple, and Geekbench 4 benchmarks have confirmed this. Benchmarks show that the bright iPhone XR has the same performance as the premium iPhone XS and iPhone XS Max. However, the first model works longer and costs less.
results
Based on the test results, the XR not only compares to other expensive smartphones Apple, but is 13% faster than last year's iPhone X in 'single-core' and 10% faster in performance 'multi-threaded'.
Geekbench is the most reliable benchmark benchmark platform. Below are the results for XR, XS and old iPhone:
- iPhone XR (A12 Bionic)
- Single-core performance: 4,818
- Multi-core performance: 11.326
- Metal performance: 22.025
- iPhone XS (A12 Bionic)
- Single-core performance: 4.807
- Multi-core performance: 11.382
- Metal performance: 21,574
- iPhone XS Max (A12 Bionic)
- Single-core performance: 4.813
- Multi-core performance: 11.096
- Metal performance: 21.967
- iPhone X (A11 Bionic)
- Single-core performance: 4,253
- Multi-core performance: 10.377
- Metal performance: 15,691
- iPhone 7 Plus (A10 Fusion)
- Single-core performance: 12.894
- Multi-core performance: 5.965
- Metal performance: 21.967
The main reason the XR's battery lasts longer than other models is its screen.
Battery consumption iPhone XR
In addition to the energy-saving 7nm processor, the XR has a regular LCD screen, which in some situations uses less power than OLED – panels. However, its screen resolution is much lower than that of other models – 1792 × 828 pixels, so its GPU has to use more power.
If you only care about smartphone performance, then go for the iPhone XR over the expensive iPhone XS models.
About benchmark metrics
The benchmark is a good indicator of CPU speed, but real-life results can vary and vary. Geekbench remains the best platform for these tests as it is publicly available for macOS, Windows, Linux, iOS and Android, which means comparisons are very easy.
Geekbench platform measures the speed of not only the central but also the GPU.
However, the neural engine Apple does not participate in the tests. As a reminder, it was designed to improve how machine learning works. Machine learning and artificial intelligence enable many features iOS, from portrait photography to Face ID. Accordingly, the results of the processors do not describe the whole picture.
We advise you to read about the Geekbench results of the new Mac mini and MacBook Air.