Samsung Exynos 2200 vs Apple A16 Bionic
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CPU comparison with benchmarks
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| Samsung Exynos 2200 | Apple A16 Bionic | |
CPU comparisonSamsung Exynos 2200 or Apple A16 Bionic - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.
The Samsung Exynos 2200 has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. Up to 12 GB of memory is supported in 4 memory channels. The Samsung Exynos 2200 was released in Q1/2022. The Apple A16 Bionic has 6 cores with 6 threads and clocks with a maximum frequency of 3.46 GHz. The CPU supports up to 6 GB of memory in 1 memory channels. The Apple A16 Bionic was released in Q3/2022. |
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| Samsung Exynos | Family | Apple A series |
| Samsung Exynos 2200 | CPU group | Apple A16 |
| 6 | Generation | 16 |
| Cortex-X2/-A710/-A510 | Architecture | A16 |
| Mobile | Segment | Mobile |
| Samsung Exynos 2100 | Predecessor | Apple A15 Bionic (5-GPU) |
| -- | Successor | Apple A17 Pro |
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CPU Cores and Base FrequencyThe Samsung Exynos 2200 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Samsung Exynos 2200 is 2.80 GHz while the Apple A16 Bionic has 6 CPU cores and 6 threads can calculate simultaneously. The clock frequency of the Apple A16 Bionic is at 2.52 GHz. |
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| 8 | Cores | 6 |
| 8 | Threads | 6 |
| hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 2.80 GHz 1x Cortex-X2 |
A-Core | 3.46 GHz 2x Everest |
| 2.52 GHz 3x Cortex-A710 |
B-Core | 2.02 GHz 4x Sawtooth |
| 1.82 GHz 4x Cortex-A510 |
C-Core | -- |
Artificial Intelligence and Machine LearningProcessors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor. |
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| -- | AI hardware | Apple Neural Engine |
| -- | AI specifications | 16 Neural cores @ 17 TOPS |
Internal GraphicsThe Samsung Exynos 2200 or Apple A16 Bionic has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die. |
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| Samsung Xclipse 920 (RDNA 2) | GPU | Apple A16 (5 GPU Cores) |
| 1.30 GHz | GPU frequency | 0.70 GHz |
| 1.30 GHz | GPU (Turbo) | |
| 1 | GPU Generation | 13 |
| 4 nm | Technology | 4 nm |
| 0 | Max. displays | 3 |
| 24 | Compute units | 160 |
| 384 | Shader | 1280 |
| 4 GB | Max. GPU Memory | 6 GB |
| 12 | DirectX Version | |
Hardware codec supportA photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos. |
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| Decode / Encode | Codec h265 / HEVC (8 bit) | Decode / Encode |
| Decode / Encode | Codec h265 / HEVC (10 bit) | Decode / Encode |
| Decode / Encode | Codec h264 | Decode / Encode |
| Decode / Encode | Codec VP9 | Decode / Encode |
| No | Codec VP8 | Decode / Encode |
| Decode | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 2200 can use up to 12 GB of memory in 4 memory channels. The maximum memory bandwidth is 51.2 GB/s. The Apple A16 Bionic supports up to 6 GB of memory in 1 memory channels and achieves a memory bandwidth of up to 51.2 GB/s. |
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| LPDDR5-6400 | Memory | LPDDR5-6400 |
| 12 GB | Max. Memory | 6 GB |
| 4 (Quad Channel) | Memory channels | 1 (Single Channel) |
| 51.2 GB/s | Max. Bandwidth | 51.2 GB/s |
| No | ECC | No |
| L2 Cache | 20.00 MB | |
| L3 Cache | 24.00 MB | |
| PCIe version | ||
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Samsung Exynos 2200 is --, while the Apple A16 Bionic has a TDP of 8.5 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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| -- | TDP (PL1 / PBP) | 8.5 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 2200 is manufactured in 4 nm and has 0.00 MB cache. The Apple A16 Bionic is manufactured in 4 nm and has a 44.00 MB cache. |
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| 4 nm | Technology | 4 nm |
| Unknown | Chip design | Chiplet |
| ARMv9-A64 (64 bit) | Instruction set (ISA) | ARMv8-A64 (64 bit) |
| ISA extensions | ||
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android | Operating systems | iOS |
| Q1/2022 | Release date | Q3/2022 |
| -- | Release price | -- |
| show more data | show more data | |
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8C 8T @ 2.80 GHz buy now on Amazon and save!
6C 6T @ 3.46 GHz buy now on Amazon and save!
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Geekbench 5, 64bit (Single-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Geekbench 5, 64bit (Multi-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.|
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Geekbench 6 (Single-Core)
Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.|
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Geekbench 6 (Multi-Core)
Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.|
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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iGPU - FP32 Performance (Single-precision GFLOPS)
The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.|
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Samsung Exynos 2200
Samsung Xclipse 920 (RDNA 2) @ 1.30 GHz |
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Apple A16 Bionic
Apple A16 (5 GPU Cores) @ 0.70 GHz |
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AnTuTu 9 Benchmark
The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Performance for Artificial Intelligence (AI) and Machine Learning (ML)
Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).|
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Devices using this processor |
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| Samsung Exynos 2200 | Apple A16 Bionic |
| Samsung Galaxy S22 Samsung Galaxy S22 Plus Samsung Galaxy S22 Ultra |
Apple iPhone 14 Pro Apple iPhone 14 Pro Max |
News and articles for the Samsung Exynos 2200 and the Apple A16 Bionic
MediaTek Dimensity 9000+ vs Apple A16 and Snapdragon 8+ Gen 1
Posted by Stefan on 2022-09-22
With the Dimensity 9000+, Mediatek presents the latest of its smartphone chips. The successor to the Mediatek Dimensity 9000 achieves higher CPU and GPU clock frequencies thanks to better binning. The CPU clock of the prime core (A core) increases from 3.0 to 3.2 GHz. And the ARM Mali-G710 MP10 GPU can now clock at 0.9 GHz (previously 0.85 GHz).
Both are a good improvement over the Dimensity 9000 in theory but the increase in performance should not usually be noticeable in practice. In the end, the overall performance of the Mediatek Dimensity 9000+ is impressive: Qualcomm Snapdragon 8+ Gen 1 is beaten in Geekbench 5 in both the single-core and multi-core benchmarks.
Both are a good improvement over the Dimensity 9000 in theory but the increase in performance should not usually be noticeable in practice. In the end, the overall performance of the Mediatek Dimensity 9000+ is impressive: Qualcomm Snapdragon 8+ Gen 1 is beaten in Geekbench 5 in both the single-core and multi-core benchmarks.
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Every year Apple releases a new iPhone series and with the release of the series always the latest Apple A processor. This has become even more important in recent years, as it has also formed the basis for Apple's M processor series since 2020. The Apple M processors are based on the same core architecture as the Apple A processors, but have been significantly upgraded in many areas such as memory bandwith, amount of memory or cache.
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