Samsung Exynos 2400 Benchmark, Test and specs
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The Samsung Exynos 2400 is a 10 core processor. It can process 10 threads concurrently and is based on the 7. gen of the Samsung Exynos series. The processor was released in Q4/2023. The Samsung Exynos 2400 scores 1,579 points with one CPU core in the Geekbench 5 benchmark. When using all CPU cores, the result is 5,651 points.
| Name: | Samsung Exynos 2400 |
|---|---|
| Family: | Samsung Exynos (46) |
| CPU group: | Samsung Exynos 2400 (1) |
| Architecture: | Cortex-X4/-A720/-A520 |
| Segment: | Mobile |
| Generation: | 7 |
| Predecessor: | -- |
| Successor: | -- |
CPU Cores and Base Frequency
The 10 CPU cores of the Samsung Exynos 2400 clock with 3.20 GHz. The number of CPU cores and the clock frequency of the processor are largely responsible for the overall performance.
| CPU Cores / Threads: | 10 / 10 |
|---|---|
| Core architecture: | hybrid (Prime / big.LITTLE) |
| A-Core: | 1x Cortex-X4 |
| B-Core: | 5x Cortex-A720 |
| C-Core: | 4x Cortex-A520 |
| Hyperthreading / SMT: | No |
|---|---|
| Overclocking: | No |
| A-Core Frequency: | 3.20 GHz |
| B-Core Frequency: | 2.90 GHz |
| C-Core Frequency: | 1.95 GHz |
Artificial Intelligence and Machine Learning
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. 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.
| AI hardware: | Samsung AI engine |
|---|---|
| AI specifications: | Samsung AI Accelerator @ 44 TOPS |
Internal Graphics
With the Samsung Xclipse 940, the Samsung Exynos 2400 has an build in graphic solution. It has 12 SM processors, which have a total of 384 texture shaders. The iGPU not only enables games, but also significantly accelerates video playback.
| GPU name: | Samsung Xclipse 940 |
|---|---|
| GPU frequency: | 1.40 GHz |
| GPU (Turbo): | No turbo |
| Compute units: | 12 |
| Shader: | 384 |
| Hardware Raytracing: | No |
| Release date: | Q4/2023 |
| Max. displays: | 0 |
|---|---|
| Generation: | -- |
| Direct X: | 12 |
| Technology: | 4 nm |
| Max. GPU Memory: | 4 GB |
| Frame Generation: | No |
Hardware codec support
Processors that have an integrated graphics can play videos faster and more efficiently. This can have a positive effect on the battery life of notebooks, for example.
| h265 / HEVC (8 bit): | Decode / Encode |
|---|---|
| h265 / HEVC (10 bit): | Decode / Encode |
| h264: | Decode / Encode |
| VP8: | No |
| VP9: | Decode / Encode |
| AV1: | Decode |
|---|---|
| AVC: | No |
| VC-1: | No |
| JPEG: | No |
Memory & PCIeThe Samsung Exynos 2400 supports up to 12 GB memory in up to 4 (Quad Channel) memory channels. This results in a maximum memory bandwidth of 68.3 GB/s. |
|
| Memory type: | Memory bandwidth: |
|---|---|
| LPDDR5X-8533 | 68.3 GB/s |
| Max. Memory: | 12 GB |
| Memory channels: | 4 (Quad Channel) |
| ECC: | No |
| PCIe: | |
| PCIe Bandwidth: | -- |
Thermal ManagementWith the TDP, the processor manufacturer specifies the cooling solution required for the processor. The Samsung Exynos 2400 has a TDP of 12 W. |
|
|---|---|
| TDP (PL1 / PBP): | 12 W |
| TDP (PL2): | -- |
| TDP up: | -- |
| TDP down: | -- |
| Tjunction max.: | -- |
Technical details
The Samsung Exynos 2400 has a 0.00 MB large cache. The processor is manufactured in 4 nm. Modern production increases the efficiency of the processor.
| Technology: | 4 nm |
|---|---|
| Chip design: | |
| Socket: | -- |
| L2-Cache: | -- |
| L3-Cache: | -- |
| AES-NI: | No |
| Operating systems: | Android |
| Virtualization: | None |
|---|---|
| Instruction set (ISA): | Armv9-A (64 bit) |
| ISA extensions: | -- |
| Release date: | Q4/2023 |
| Release price: | -- |
| Part Number: | Samsung SM-S926B |
| Documents: | -- |
10C 10T @ 3.20 GHz
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Benchmark results
The benchmark results for the Samsung Exynos 2400 have been carefully checked by us. We only publish benchmark results that have been created by us or that have been submitted by a visitor and then checked by a team member. All results are based on and fullfill our benchmark guidelines.
Screenshots:
Screenshots:
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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Intel Core i7-1270P
12C 16T @ 4.80 GHz |
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Intel Core i7-1280P
14C 20T @ 4.80 GHz |
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Intel Core i7-12700T
12C 20T @ 4.70 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i7-11370H
4C 8T @ 4.80 GHz |
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Intel Core i7-1185G7
4C 8T @ 4.80 GHz |
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Intel Core i3-1210U
6C 8T @ 4.40 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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Intel Core i7-11375H
4C 8T @ 4.60 GHz |
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Intel Xeon E5-2670 v2
10C 20T @ 2.90 GHz |
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Intel Core i3-1315U
6C 8T @ 1.20 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i5-9600KF
6C 6T @ 4.30 GHz |
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Intel Core i5-9600K
6C 6T @ 4.30 GHz |
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Intel Xeon Silver 4208
8C 16T @ 2.30 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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Intel Core i5-1334U
10C 12T @ 4.60 GHz |
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Intel Core i5-1335U
10C 12T @ 4.60 GHz |
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Intel Core i5-12400
6C 12T @ 4.40 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Core i7-1280P
14C 20T @ 4.80 GHz |
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Intel Core Ultra 7 164U
12C 14T @ 4.80 GHz |
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Intel Core i7-1365U
10C 12T @ 5.20 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 Ryzen 9 5900HS
8C 16T @ 4.00 GHz |
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Intel Core i9-10880H
8C 16T @ 2.30 GHz |
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Intel Xeon E5-1660 v4
8C 16T @ 3.20 GHz |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Intel Xeon Silver 4210R
10C 20T @ 2.80 GHz |
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Intel Xeon E-2336
6C 12T @ 2.90 GHz |
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Intel Xeon E5-2667 v4
8C 16T @ 3.40 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 Ryzen 5 PRO 3400GE
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AMD Ryzen 7 2800H
AMD Radeon RX Vega 11 (Raven Ridge) @ 1.30 GHz |
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AMD Ryzen Embedded V1807B
AMD Radeon RX Vega 11 (Raven Ridge) @ 1.30 GHz |
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Samsung Exynos 2400
Samsung Xclipse 940 @ 1.40 GHz |
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Intel Core i5-1340P
Intel Iris Xe Graphics 80 (Alder Lake) @ 1.45 GHz |
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Intel Core i5-13500H
Intel Iris Xe Graphics 80 (Alder Lake) @ 1.45 GHz |
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Intel Core i5-13505H
Intel Iris Xe Graphics 80 (Alder Lake) @ 1.45 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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12C 12T @ 1.00 GHzNot verified |
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Qualcomm Snapdragon X Elite (X1E-80-100)
12C 12T @ 1.00 GHzNot verified |
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Qualcomm Snapdragon X Elite (X1E-84-100)
12C 12T @ 1.00 GHzNot verified |
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Samsung Exynos 2400
10C 10T @ 3.20 GHz |
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Apple M3 Max (16-CPU 40-GPU)
16C 16T @ 0.70 GHz |
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Apple M3 (8-GPU)
8C 8T @ 0.70 GHz |
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Benchmarks
Geekbench 5 (SC)
2,488 entries
2,488 entries
Geekbench 5 (MC)
2,461 entries
2,461 entries
Geekbench 6 (SC)
1,755 entries
1,755 entries
Geekbench 6 (MC)
1,703 entries
1,703 entries
FP32 SP (iGPU)
2,042 entries
2,042 entries
AI / ML Performance
119 entries
119 entries
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