Samsung Exynos 2400 vs Apple M1 Pro (10-CPU 16-GPU)
Last updated:
CPU comparison with benchmarks
|
 |
|
| Samsung Exynos 2400 | Apple M1 Pro (10-CPU 16-GPU) | |
CPU comparisonSamsung Exynos 2400 or Apple M1 Pro (10-CPU 16-GPU) - 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 Apple M1 Pro (10-CPU 16-GPU) has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. The CPU supports up to 32 GB of memory in 2 memory channels. The Apple M1 Pro (10-CPU 16-GPU) was released in Q3/2021. |
||
| Samsung Exynos (47) | Family | Apple M series (25) |
| Samsung Exynos 2400 (1) | CPU group | Apple M1 (9) |
| 7 | Generation | 1 |
| Cortex-X4/-A720/-A520 | Architecture | M1 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | Apple M2 Pro (12-CPU 19-GPU) |
|
|
||
CPU Cores and Base FrequencyThe Samsung Exynos 2400 is a 10 core processor with a clock frequency of 3.20 GHz. The Apple M1 Pro (10-CPU 16-GPU) has 10 CPU cores with a clock frequency of 0.60 GHz (3.20 GHz). |
||
| Samsung Exynos 2400 | Characteristic | Apple M1 Pro (10-CPU 16-GPU) |
| 10 | Cores | 10 |
| 10 | Threads | 10 |
| hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.20 GHz 1x Cortex-X4 |
A-Core | 0.60 GHz (3.20 GHz) 8x Firestorm |
| 2.90 GHz 5x Cortex-A720 |
B-Core | 0.60 GHz (2.06 GHz) 2x Icestorm |
| 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. |
||
| Samsung Exynos 2400 | Characteristic | Apple M1 Pro (10-CPU 16-GPU) |
| Samsung AI engine | AI hardware | Apple Neural Engine |
| Samsung AI Accelerator @ 44 TOPS | AI specifications | 16 Neural cores @ 11 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. |
||
| Samsung Xclipse 940 | GPU | Apple M1 Pro (16 Core) |
| 1.40 GHz | GPU frequency | 0.39 GHz |
| -- | GPU (Turbo) | 1.30 GHz |
| -- | GPU Generation | 1 |
| 4 nm | Technology | 5 nm |
| 0 | Max. displays | 3 |
| 12 | Compute units | 256 |
| 384 | Shader | 2048 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 4 GB | Max. GPU Memory | 16 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. |
||
| Samsung Xclipse 940 | GPU | Apple M1 Pro (16 Core) |
| 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 |
| Decode | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 2400 supports a maximum of 12 GB of memory in 4 memory channels. The Apple M1 Pro (10-CPU 16-GPU) can connect up to 32 GB of memory in 2 memory channels. |
||
| Samsung Exynos 2400 | Characteristic | Apple M1 Pro (10-CPU 16-GPU) |
| LPDDR5X-8533 | Memory | LPDDR5-6400 |
| 12 GB | Max. Memory | 32 GB |
| 4 (Quad Channel) | Memory channels | 2 (Dual Channel) |
| 68.3 GB/s | Max. Bandwidth | 102.4 GB/s |
| No | ECC | No |
| -- | L2 Cache | 28.00 MB |
| -- | L3 Cache | -- |
| -- | PCIe version | 4.0 |
| -- | 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 Apple M1 Pro (10-CPU 16-GPU) is 45 W. |
||
| Samsung Exynos 2400 | Characteristic | Apple M1 Pro (10-CPU 16-GPU) |
| 12 W | TDP (PL1 / PBP) | 45 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 2400 has a 0.00 MB cache, while the Apple M1 Pro (10-CPU 16-GPU) cache has a total of 28.00 MB. |
||
| Samsung Exynos 2400 | Characteristic | Apple M1 Pro (10-CPU 16-GPU) |
| 4 nm | Technology | 5 nm |
| Unknown | Chip design | Chiplet |
| Armv9-A (64 bit) | Instruction set (ISA) | Armv8.5-A (64 bit) |
| -- | ISA extensions | Rosetta 2 x86-Emulation |
| -- | Socket | -- |
| None | Virtualization | Apple Virtualization Framework |
| No | AES-NI | Yes |
| Android | Operating systems | macOS |
| Q4/2023 | Release date | Q3/2021 |
| -- | Release price | -- |
| show more data | show more data | |
|
10C 10T @ 3.20 GHz buy now on Amazon and save!
10C 10T @ 0.60 GHz (3.20 GHz) buy now on Amazon and save!
|
||
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.
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
Samsung Xclipse 940 @ 1.40 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
Apple M1 Pro (16 Core) @ 1.30 GHz |
||
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).
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 0.60 GHz |
||
Cinebench 2024 (Single-Core)
The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in Maxon's 3D program Cinema 4D. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
Cinebench 2024 (Multi-Core)
The Multi-Core test of the Cinebench 2024 benchmark uses all cpu cores to render using the Redshift rendering engine, which is also used in Maxons Cinema 4D. The benchmark run is 10 minutes long to test whether the processor is limited by its heat generation.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 0.60 GHz |
||
Blender 3.1 Benchmark
In the Blender Benchmark 3.1, the scenes "monster", "junkshop" and "classroom" are rendered and the time required by the system is measured. In our benchmark we test the CPU and not the graphics card. Blender 3.1 was presented as a standalone version in March 2022.
|
|
Samsung Exynos 2400
10C 10T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
10C 10T @ 3.20 GHz |
||
CPU performance per watt (efficiency)
Efficiency of the processor under full load in the Cinebench R23 (multi-core) benchmark. The benchmark result is divided by the average energy required (CPU package power in watts). The higher the value, the more efficient the CPU is under full load.
|
|
Samsung Exynos 2400
3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 16-GPU)
12,390 CB R23 MC @ 45 W |
||
Devices using this processor |
|
| Samsung Exynos 2400 | Apple M1 Pro (10-CPU 16-GPU) |
| Samsung Galaxy S24 Samsung Galaxy S24 Plus |
Apple MacBook Pro 14 (2021) Apple MacBook Pro 16 (2021) |
News and articles for the Samsung Exynos 2400 and the Apple M1 Pro (10-CPU 16-GPU)
Apple M2 Pro with more CPU cores and production in 3 nm ?
Posted by Stefan on 2022-06-28
After Apple surprisingly presented the normal Apple M2 processor as the first successor to the Apple M1 already in June 2022, the Apple M2 Pro and the Apple M2 Max may follow in autumn. The difference in performance compared to the basic version could be even greater this time and range from 25 to 40 percent.
In this article we describe how Apple could realize this and why the price should also go up.
In this article we describe how Apple could realize this and why the price should also go up.
Apple M2 vs Apple M1 - What are the differences?
Posted by Stefan on 2022-06-09
During WWDC 2022 on June 6th, 2022 Apple surprisingly presented its new Apple M2 processor. This will initially be installed in a completely revised Apple MacBook Air with 13.6 inches, a even thinner form factor and new colors. Apple also updated the already known (old) Apple MacBook Pro 13.3 with touch bar.
Many leakers had counted on Apple not presenting its new second-generation M processor until the fall. But things turned out differently. And there is very likely a reason for that: the improvements in the Apple M2 are limited compared to the predecessor.
Many leakers had counted on Apple not presenting its new second-generation M processor until the fall. But things turned out differently. And there is very likely a reason for that: the improvements in the Apple M2 are limited compared to the predecessor.
Popular comparisons containing this CPUs
back to index
