Samsung Exynos 2400 vs MediaTek Dimensity 8300
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CPU comparison with benchmarks
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| Samsung Exynos 2400 | MediaTek Dimensity 8300 | |
CPU comparisonSamsung Exynos 2400 or MediaTek Dimensity 8300 - 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 MediaTek Dimensity 8300 has 8 cores with 8 threads and clocks with a maximum frequency of 3.35 GHz. The CPU supports up to GB of memory in 4 memory channels. The MediaTek Dimensity 8300 was released in Q4/2023. |
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| Samsung Exynos (47) | Family | Mediatek Dimensity (36) |
| Samsung Exynos 2400 (1) | CPU group | MediaTek Dimensity 8300 (1) |
| 7 | Generation | 4 |
| Cortex-X4/-A720/-A520 | Architecture | Cortex-A715 / -A510 |
| Mobile | Segment | Mobile |
| -- | 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 MediaTek Dimensity 8300 has 8 CPU cores with a clock frequency of 3.35 GHz. |
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| Samsung Exynos 2400 | Characteristic | MediaTek Dimensity 8300 |
| 10 | Cores | 8 |
| 10 | Threads | 8 |
| hybrid (Prime / big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.20 GHz 1x Cortex-X4 |
A-Core | 3.35 GHz 1x Cortex-A715 |
| 2.90 GHz 5x Cortex-A720 |
B-Core | 3.20 GHz 3x Cortex-A715 |
| 1.95 GHz 4x Cortex-A520 |
C-Core | 2.20 GHz 4x Cortex-A510 |
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 | MediaTek Dimensity 8300 |
| Samsung AI engine | AI hardware | Mediatek APU |
| Samsung AI Accelerator @ 44 TOPS | AI specifications | APU 780 |
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 | ARM Mali-G615 MP6 |
| 1.40 GHz | GPU frequency | 1.40 GHz |
| -- | GPU (Turbo) | 1.40 GHz |
| -- | GPU Generation | -- |
| 4 nm | Technology | 4 nm |
| 0 | Max. displays | 1 |
| 12 | Compute units | 6 |
| 384 | Shader | -- |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 4 GB | Max. GPU Memory | -- |
| 12 | 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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| Samsung Xclipse 940 | GPU | ARM Mali-G615 MP6 |
| 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 | Decode |
| No | Codec AVC | Decode / Encode |
| No | Codec VC-1 | Decode / Encode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 2400 supports a maximum of 12 GB of memory in 4 memory channels. The MediaTek Dimensity 8300 can connect up to GB of memory in 4 memory channels. |
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| Samsung Exynos 2400 | Characteristic | MediaTek Dimensity 8300 |
| LPDDR5X-8533 | Memory | LPDDR5X-8533 |
| 12 GB | Max. Memory | |
| 4 (Quad Channel) | Memory channels | 4 (Quad Channel) |
| 68.3 GB/s | Max. Bandwidth | 68.2 GB/s |
| No | ECC | No |
| -- | L2 Cache | -- |
| -- | L3 Cache | 4.00 MB |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
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 MediaTek Dimensity 8300 is --. |
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| Samsung Exynos 2400 | Characteristic | MediaTek Dimensity 8300 |
| 12 W | TDP (PL1 / PBP) | -- |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 2400 has a 0.00 MB cache, while the MediaTek Dimensity 8300 cache has a total of 4.00 MB. |
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| Samsung Exynos 2400 | Characteristic | MediaTek Dimensity 8300 |
| 4 nm | Technology | 4 nm |
| Unknown | Chip design | Chiplet |
| Armv9-A (64 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
| -- | ISA extensions | -- |
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android | Operating systems | Android |
| Q4/2023 | Release date | Q4/2023 |
| -- | Release price | -- |
| show more data | show more data | |
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8C 8T @ 3.35 GHz buy now on Amazon and save!
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Average performance in benchmarks
⌀ Single core performance in 0 CPU benchmarks
⌀ Multi core performance in 1 CPU benchmarks
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 2400
10C 10T @ 3.20 GHz |
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MediaTek Dimensity 8300
8C 8T @ 3.35 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 2400
10C 10T @ 3.20 GHz |
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MediaTek Dimensity 8300
8C 8T @ 3.35 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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MediaTek Dimensity 8300
8C 8T @ 3.35 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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MediaTek Dimensity 8300
8C 8T @ 3.35 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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MediaTek Dimensity 8300
8C 8T @ 3.35 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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MediaTek Dimensity 8300
ARM Mali-G615 MP6 @ 1.40 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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MediaTek Dimensity 8300
8C 8T @ 3.35 GHz |
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Devices using this processor |
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| Samsung Exynos 2400 | MediaTek Dimensity 8300 |
| Samsung Galaxy S24 Samsung Galaxy S24 Plus |
Unknown |
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