AMD A8-5550M vs Samsung Exynos 2400
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CPU comparison with benchmarks
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| AMD A8-5550M | Samsung Exynos 2400 | |
CPU comparisonAMD A8-5550M or Samsung Exynos 2400 - 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 AMD A8-5550M has 4 cores with 4 threads and clocks with a maximum frequency of 3.10 GHz. Up to GB of memory is supported in 2 memory channels. The AMD A8-5550M was released in Q2/2013. The Samsung Exynos 2400 has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. The CPU supports up to 12 GB of memory in 4 memory channels. The Samsung Exynos 2400 was released in Q4/2023. |
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| AMD A (112) | Family | Samsung Exynos (47) |
| AMD A8-5000M (3) | CPU group | Samsung Exynos 2400 (1) |
| 3 | Generation | 7 |
| Richland (Piledriver) | Architecture | Cortex-X4/-A720/-A520 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe AMD A8-5550M is a 4 core processor with a clock frequency of 2.10 GHz (3.10 GHz). The Samsung Exynos 2400 has 10 CPU cores with a clock frequency of 3.20 GHz. |
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| AMD A8-5550M | Characteristic | Samsung Exynos 2400 |
| 4 | Cores | 10 |
| 4 | Threads | 10 |
| normal | Core architecture | hybrid (Prime / big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 2.10 GHz (3.10 GHz) | A-Core | 3.20 GHz 1x Cortex-X4 |
| -- | B-Core | 2.90 GHz 5x Cortex-A720 |
| -- | C-Core | 1.95 GHz 4x Cortex-A520 |
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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| AMD A8-5550M | Characteristic | Samsung Exynos 2400 |
| -- | AI hardware | Samsung AI engine |
| -- | AI specifications | Samsung AI Accelerator @ 44 TOPS |
Internal GraphicsThe integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs. |
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| AMD Radeon HD 8550G | GPU | Samsung Xclipse 940 |
| 0.52 GHz | GPU frequency | 1.40 GHz |
| 0.72 GHz | GPU (Turbo) | -- |
| 5 | GPU Generation | -- |
| 32 nm | Technology | 4 nm |
| 2 | Max. displays | 0 |
| 4 | Compute units | 12 |
| 256 | Shader | 384 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 2 GB | Max. GPU Memory | 4 GB |
| 11 | DirectX Version | 12 |
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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| AMD Radeon HD 8550G | GPU | Samsung Xclipse 940 |
| No | Codec h265 / HEVC (8 bit) | Decode / Encode |
| No | Codec h265 / HEVC (10 bit) | Decode / Encode |
| Decode | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode / Encode |
| No | Codec VP8 | No |
| No | Codec AV1 | Decode |
| Decode | Codec AVC | No |
| Decode | Codec VC-1 | No |
| Decode / Encode | Codec JPEG | No |
Memory & PCIeThe AMD A8-5550M supports a maximum of GB of memory in 2 memory channels. The Samsung Exynos 2400 can connect up to 12 GB of memory in 4 memory channels. |
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| AMD A8-5550M | Characteristic | Samsung Exynos 2400 |
| DDR3-1600 | Memory | LPDDR5X-8533 |
| Max. Memory | 12 GB | |
| 2 (Dual Channel) | Memory channels | 4 (Quad Channel) |
| 25.6 GB/s | Max. Bandwidth | 68.3 GB/s |
| No | ECC | No |
| -- | L2 Cache | -- |
| 4.00 MB | L3 Cache | -- |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The AMD A8-5550M has a TDP of 35 W, that of the Samsung Exynos 2400 is 12 W. |
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| AMD A8-5550M | Characteristic | Samsung Exynos 2400 |
| 35 W | TDP (PL1 / PBP) | 12 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe AMD A8-5550M has a 4.00 MB cache, while the Samsung Exynos 2400 cache has a total of 0.00 MB. |
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| AMD A8-5550M | Characteristic | Samsung Exynos 2400 |
| 32 nm | Technology | 4 nm |
| Unknown | Chip design | Unknown |
| x86-64 (64 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
| SSE4a, SSE4.1, SSE4.2, AVX, FMA3, FMA4 | ISA extensions | -- |
| FS1r2 | Socket | -- |
| AMD-V | Virtualization | None |
| Yes | AES-NI | No |
| Operating systems | Android | |
| Q2/2013 | Release date | Q4/2023 |
| -- | Release price | -- |
| show more data | show more data | |
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 1 CPU benchmarks
⌀ Multi core performance in 1 CPU benchmarks
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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AMD A8-5550M
4C 4T @ 3.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 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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AMD A8-5550M
4C 4T @ 3.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 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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AMD A8-5550M
AMD Radeon HD 8550G @ 0.72 GHz |
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Samsung Exynos 2400
Samsung Xclipse 940 @ 1.40 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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AMD A8-5550M
4C 4T @ 3.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 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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AMD A8-5550M
4C 4T @ 3.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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AnTuTu 10 Benchmark
The AnTuTu 10 benchmark is one of the best-known benchmarks for mobile processors, which is now available in version 10. There is a version for Android-based smartphones and tablets, as well as a version for Apple mobile devices, i.e. iPhones and iPads.
The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.
Antutu 10 is therefore ideal for comparing the performance of different devices.
The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.
Antutu 10 is therefore ideal for comparing the performance of different devices.
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AMD A8-5550M
4C 4T @ 2.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Estimated results for PassMark CPU Mark
Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
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AMD A8-5550M
4C 4T @ 3.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 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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AMD A8-5550M
4C 4T @ 2.10 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Devices using this processor |
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| AMD A8-5550M | Samsung Exynos 2400 |
| Unknown | Samsung Galaxy S24 Samsung Galaxy S24 Plus |
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