Samsung Exynos 4415 vs Samsung Exynos 2400
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CPU comparison with benchmarks
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| Samsung Exynos 4415 | Samsung Exynos 2400 | |
CPU comparisonSamsung Exynos 4415 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 Samsung Exynos 4415 has 4 cores with 4 threads and clocks with a maximum frequency of 1.50 GHz. Up to GB of memory is supported in 0 memory channels. The Samsung Exynos 4415 was released in 2014. 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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| Samsung Exynos (47) | Family | Samsung Exynos (47) |
| Samsung Exynos 4415 (1) | CPU group | Samsung Exynos 2400 (1) |
| 2 | Generation | 7 |
| Cortex-A9 | Architecture | Cortex-X4/-A720/-A520 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Samsung Exynos 4415 has 4 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Samsung Exynos 4415 is 1.50 GHz while the Samsung Exynos 2400 has 10 CPU cores and 10 threads can calculate simultaneously. The clock frequency of the Samsung Exynos 2400 is at 3.20 GHz. |
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| Samsung Exynos 4415 | Characteristic | Samsung Exynos 2400 |
| 4 | Cores | 10 |
| 4 | Threads | 10 |
| normal | Core architecture | hybrid (Prime / big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 1.50 GHz 4x Cortex-A9 |
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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| Samsung Exynos 4415 | Characteristic | Samsung Exynos 2400 |
| -- | AI hardware | Samsung AI engine |
| -- | AI specifications | Samsung AI Accelerator @ 44 TOPS |
Internal GraphicsThe Samsung Exynos 4415 or Samsung Exynos 2400 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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| ARM Mali-400 MP4 | GPU | Samsung Xclipse 940 |
| 0.53 GHz | GPU frequency | 1.40 GHz |
| -- | GPU (Turbo) | -- |
| Utgard | GPU Generation | -- |
| 28nm | Technology | 4 nm |
| 1 | Max. displays | 0 |
| 4 | Compute units | 12 |
| 64 | Shader | 384 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| 0 | 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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| ARM Mali-400 MP4 | GPU | Samsung Xclipse 940 |
| No | Codec h265 / HEVC (8 bit) | Decode / Encode |
| No | Codec h265 / HEVC (10 bit) | Decode / Encode |
| No | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode / Encode |
| No | Codec VP8 | No |
| No | Codec AV1 | Decode |
| No | Codec AVC | No |
| No | Codec VC-1 | No |
| No | Codec JPEG | No |
Memory & PCIeThe Samsung Exynos 4415 can use up to GB of memory in 0 memory channels. The maximum memory bandwidth is --. The Samsung Exynos 2400 supports up to 12 GB of memory in 4 memory channels and achieves a memory bandwidth of up to 68.3 GB/s. |
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| Samsung Exynos 4415 | Characteristic | Samsung Exynos 2400 |
| LPDDR2-400 | Memory | LPDDR5X-8533 |
| Max. Memory | 12 GB | |
| 0 | Memory channels | 4 (Quad Channel) |
| -- | Max. Bandwidth | 68.3 GB/s |
| No | ECC | No |
| 1.00 MB | L2 Cache | -- |
| -- | L3 Cache | -- |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Samsung Exynos 4415 is --, while the Samsung Exynos 2400 has a TDP of 12 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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| Samsung Exynos 4415 | Characteristic | Samsung Exynos 2400 |
| -- | TDP (PL1 / PBP) | 12 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 4415 is manufactured in 28 nm and has 1.00 MB cache. The Samsung Exynos 2400 is manufactured in 4 nm and has a 0.00 MB cache. |
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| Samsung Exynos 4415 | Characteristic | Samsung Exynos 2400 |
| 28 nm | Technology | 4 nm |
| Unknown | Chip design | Unknown |
| Armv7-A (32 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
| -- | ISA extensions | -- |
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android | Operating systems | Android |
| 2014 | Release date | Q4/2023 |
| -- | Release price | -- |
| show more data | show more data | |
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Rate these processors
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 4415
ARM Mali-400 MP4 @ 0.53 GHz |
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Samsung Exynos 2400
Samsung Xclipse 940 @ 1.40 GHz |
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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 4415
4C 4T @ 1.50 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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Samsung Exynos 4415
4C 4T @ 1.50 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 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 4415
4C 4T @ 1.50 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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Samsung Exynos 4415
4C 4T @ 1.50 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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Samsung Exynos 4415
4C 4T @ 1.50 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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Samsung Exynos 4415
4C 4T @ 1.50 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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| Samsung Exynos 4415 | Samsung Exynos 2400 |
| Unknown | Samsung Galaxy S24 Samsung Galaxy S24 Plus |
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