Samsung Exynos 2400 vs Apple M1 Max (32-GPU)

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CPU comparison with benchmarks


Samsung Exynos 2400 CPU1 vs CPU2 Apple M1 Max (32-GPU)
Samsung Exynos 2400 Apple M1 Max (32-GPU)

CPU comparison

Samsung Exynos 2400 or Apple M1 Max (32-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 Max (32-GPU) has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. The CPU supports up to 64 GB of memory in 4 memory channels. The Apple M1 Max (32-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 Max (38-GPU)

CPU Cores and Base Frequency

The Samsung Exynos 2400 is a 10 core processor with a clock frequency of 3.20 GHz. The Apple M1 Max (32-GPU) has 10 CPU cores with a clock frequency of 0.60 GHz (3.20 GHz).

Samsung Exynos 2400 Characteristic Apple M1 Max (32-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 --

NPU AI performance

The performance values of the processor's AI unit. The isolated NPU performance is specified here, the total AI performance (NPU+CPU+iGPU) can be higher. Processors with support for artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors.

Samsung Exynos 2400 Characteristic Apple M1 Max (32-GPU)
Samsung AI engine AI hardware Apple Neural Engine
Samsung AI Accelerator @ 44 TOPS AI specifications 16 Neural cores @ 11 TOPS
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

The 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 Max (32 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 5
12 Compute units 512
384 Shader 4096
No Hardware Raytracing No
No Frame Generation No
4 GB Max. GPU Memory 32 GB
12 DirectX Version --

Hardware codec support

A 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 Max (32 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 & PCIe

The Samsung Exynos 2400 supports a maximum of 12 GB of memory in 4 memory channels. The Apple M1 Max (32-GPU) can connect up to 64 GB of memory in 4 memory channels.

Samsung Exynos 2400 Characteristic Apple M1 Max (32-GPU)
LPDDR5X-8533 Memory LPDDR5-6400
12 GB Max. Memory 64 GB
4 (Quad Channel) Memory channels 4 (Quad Channel)
68.3 GB/s Max. Bandwidth 409.6 GB/s
No ECC No
-- L2 Cache 28.00 MB
-- L3 Cache --
-- PCIe version 4.0
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The 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 Max (32-GPU) is 45 W.

Samsung Exynos 2400 Characteristic Apple M1 Max (32-GPU)
12 W TDP (PL1 / PBP) 45 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Samsung Exynos 2400 has a 0.00 MB cache, while the Apple M1 Max (32-GPU) cache has a total of 28.00 MB.

Samsung Exynos 2400 Characteristic Apple M1 Max (32-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


Rate these processors

Here you can rate the Samsung Exynos 2400 to help other visitors make their purchasing decisions. The average rating is 4.4 stars (32 ratings). Rate now:
Here you can rate the Apple M1 Max (32-GPU) to help other visitors make their purchasing decisions. The average rating is 4.9 stars (37 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Samsung Exynos 2400 (90%)
Apple M1 Max (32-GPU) (100%)
⌀ Multi core performance in 2 CPU benchmarks
Samsung Exynos 2400 (50%)
Apple M1 Max (32-GPU) (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
1579 (89%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
1783 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
5651 (45%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12693 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
2168 (90%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
2397 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
6856 (55%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12439 (100%)

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 Exynos 2400
Samsung Xclipse 940 @ 1.40 GHz
1825 (17%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
Apple M1 Max (32 Core) @ 1.30 GHz
10600 (100%)

AI performance (NPU)

The performance values of the processor's AI unit. The isolated NPU performance is given here, the total AI performance (NPU+CPU+iGPU) can be higher.

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
44 (100%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 0.60 GHz
11 (25%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
112 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
796 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
1534 (100%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12402 (100%)

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.
Samsung Exynos 2400 Samsung Exynos 2400
10C 10T @ 3.20 GHz
1724950 (100%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 0.60 GHz
0 (0%)

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 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
192 (100%)

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.
Samsung Exynos 2400 Samsung Exynos 2400
10C 10T @ 3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
22255 (100%)

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 Samsung Exynos 2400
3.20 GHz
0 (0%)
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
12,402 CB R23 MC @ 45 W
275 (100%)

Devices using this processor

Samsung Exynos 2400 Apple M1 Max (32-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 Max (32-GPU)


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