Samsung Exynos 2400 vs Intel Core i5-3470
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CPU comparison with benchmarks
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| Samsung Exynos 2400 | Intel Core i5-3470 | |
CPU comparisonSamsung Exynos 2400 or Intel Core i5-3470 - 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 2400 has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. Up to 12 GB of memory is supported in 4 memory channels. The Samsung Exynos 2400 was released in Q4/2023. The Intel Core i5-3470 has 4 cores with 4 threads and clocks with a maximum frequency of 3.60 GHz. The CPU supports up to 32 GB of memory in 2 memory channels. The Intel Core i5-3470 was released in Q2/2012. |
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| Samsung Exynos (46) | Family | Intel Core i5 (331) |
| Samsung Exynos 2400 (1) | CPU group | Intel Core i 3000 (31) |
| 7 | Generation | 3 |
| Cortex-X4/-A720/-A520 | Architecture | Ivy Bridge S |
| Mobile | Segment | Desktop / Server |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Samsung Exynos 2400 is a 10 core processor with a clock frequency of 3.20 GHz. The Intel Core i5-3470 has 4 CPU cores with a clock frequency of 3.20 GHz (3.60 GHz). |
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| Samsung Exynos 2400 | Characteristic | Intel Core i5-3470 |
| 10 | Cores | 4 |
| 10 | Threads | 4 |
| hybrid (Prime / big.LITTLE) | Core architecture | normal |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.20 GHz 1x Cortex-X4 |
A-Core | 3.20 GHz (3.60 GHz) |
| 2.90 GHz 5x Cortex-A720 |
B-Core | -- |
| 1.95 GHz 4x Cortex-A520 |
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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| Samsung Exynos 2400 | Characteristic | Intel Core i5-3470 |
| Samsung AI engine | AI hardware | -- |
| Samsung AI Accelerator @ 44 TOPS | AI specifications | -- |
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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| Samsung Xclipse 940 | GPU | Intel HD Graphics 2500 |
| 1.40 GHz | GPU frequency | 0.65 GHz |
| -- | GPU (Turbo) | 1.10 GHz |
| -- | GPU Generation | 7 |
| 4 nm | Technology | 22 nm |
| 0 | Max. displays | 3 |
| 12 | Compute units | 6 |
| 384 | Shader | 48 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 4 GB | Max. GPU Memory | 2 GB |
| 12 | DirectX Version | 11.0 |
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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| Samsung Xclipse 940 | GPU | Intel HD Graphics 2500 |
| Decode / Encode | Codec h265 / HEVC (8 bit) | No |
| Decode / Encode | Codec h265 / HEVC (10 bit) | No |
| Decode / Encode | Codec h264 | Decode / Encode |
| Decode / Encode | Codec VP9 | No |
| No | Codec VP8 | No |
| Decode | Codec AV1 | No |
| No | Codec AVC | Decode / Encode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode |
Memory & PCIeThe Samsung Exynos 2400 supports a maximum of 12 GB of memory in 4 memory channels. The Intel Core i5-3470 can connect up to 32 GB of memory in 2 memory channels. |
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| Samsung Exynos 2400 | Characteristic | Intel Core i5-3470 |
| LPDDR5X-8533 | Memory | DDR3-1600 |
| 12 GB | Max. Memory | 32 GB |
| 4 (Quad Channel) | Memory channels | 2 (Dual Channel) |
| 68.3 GB/s | Max. Bandwidth | 25.6 GB/s |
| No | ECC | No |
| -- | L2 Cache | -- |
| -- | L3 Cache | 6.00 MB |
| -- | PCIe version | 3.0 |
| -- | PCIe lanes | 16 |
| -- | PCIe Bandwidth | 15.8 GB/s |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Samsung Exynos 2400 has a TDP of 12 W, that of the Intel Core i5-3470 is 77 W. |
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| Samsung Exynos 2400 | Characteristic | Intel Core i5-3470 |
| 12 W | TDP (PL1 / PBP) | 77 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 2400 has a 0.00 MB cache, while the Intel Core i5-3470 cache has a total of 6.00 MB. |
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| Samsung Exynos 2400 | Characteristic | Intel Core i5-3470 |
| 4 nm | Technology | 22 nm |
| Unknown | Chip design | Monolithic |
| Armv9-A (64 bit) | Instruction set (ISA) | x86-64 (64 bit) |
| -- | ISA extensions | SSE4.1, SSE4.2, AVX |
| -- | Socket | LGA 1155 |
| None | Virtualization | VT-x, VT-x EPT |
| No | AES-NI | Yes |
| Android | Operating systems | Windows 10, Linux |
| Q4/2023 | Release date | Q2/2012 |
| -- | Release price | 184 $ |
| show more data | show more data | |
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 2 CPU benchmarks
⌀ Multi core performance in 2 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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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 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 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 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 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 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 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 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 2400
Samsung Xclipse 940 @ 1.40 GHz |
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Intel Core i5-3470
Intel HD Graphics 2500 @ 1.10 GHz |
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Cinebench R23 (Single-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. 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 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 GHz |
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Cinebench R23 (Multi-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 GHz |
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Cinebench R20 (Multi-Core)
Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 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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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 GHz |
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Blender 2.81 (bmw27)
Blender is a free 3D graphics software for rendering (creating) 3D bodies, which can also be textured and animated in the software. The Blender benchmark creates predefined scenes and measures the time (s) required for the entire scene. The shorter the time required, the better. We selected bmw27 as the benchmark scene.
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 GHz |
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CPU-Z Benchmark 17 (Single-Core)
The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.60 GHz |
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CPU-Z Benchmark 17 (Multi-Core)
The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 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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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-3470
4C 4T @ 3.20 GHz |
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Devices using this processor |
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| Samsung Exynos 2400 | Intel Core i5-3470 |
| Samsung Galaxy S24 Samsung Galaxy S24 Plus |
Unknown |
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