Apple M1 Max (32-GPU) vs Samsung Exynos 2100

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CPU comparison with benchmarks


Apple M1 Max (32-GPU) CPU1 vs CPU2 Samsung Exynos 2100
Apple M1 Max (32-GPU) Samsung Exynos 2100

CPU comparison

Apple M1 Max (32-GPU) or Samsung Exynos 2100 - 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 Apple M1 Max (32-GPU) has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. Up to 64 GB of memory is supported in 4 memory channels. The Apple M1 Max (32-GPU) was released in Q3/2021.

The Samsung Exynos 2100 has 8 cores with 8 threads and clocks with a maximum frequency of 2.90 GHz. The CPU supports up to 12 GB of memory in 4 memory channels. The Samsung Exynos 2100 was released in Q1/2021.
Apple M series (25) Family Samsung Exynos (47)
Apple M1 (9) CPU group Samsung Exynos 2100 (1)
1 Generation 5
M1 Architecture Cortex-X1/-A78/-A55
Mobile Segment Mobile
-- Predecessor --
Apple M2 Max (38-GPU) Successor Samsung Exynos 2200

CPU Cores and Base Frequency

The Apple M1 Max (32-GPU) is a 10 core processor with a clock frequency of 0.60 GHz (3.20 GHz). The Samsung Exynos 2100 has 8 CPU cores with a clock frequency of 2.90 GHz.

Apple M1 Max (32-GPU) Characteristic Samsung Exynos 2100
10 Cores 8
10 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
0.60 GHz (3.20 GHz)
8x Firestorm
A-Core 2.90 GHz
1x Cortex-X1
0.60 GHz (2.06 GHz)
2x Icestorm
B-Core 2.80 GHz
3x Cortex-A78
-- C-Core 2.20 GHz
4x Cortex-A55

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.

Apple M1 Max (32-GPU) Characteristic Samsung Exynos 2100
Apple Neural Engine AI hardware --
16 Neural cores @ 11 TOPS AI specifications --

Internal Graphics

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.

Apple M1 Max (32 Core) GPU ARM Mali-G78 MP14
0.39 GHz GPU frequency 0.76 GHz
1.30 GHz GPU (Turbo) --
1 GPU Generation Vallhall 2
5 nm Technology 5 nm
5 Max. displays 1
512 Compute units 14
4096 Shader 224
No Hardware Raytracing No
No Frame Generation No
32 GB Max. GPU Memory --
-- DirectX Version 12

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.

Apple M1 Max (32 Core) GPU ARM Mali-G78 MP14
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
Decode Codec VP8 Decode / Encode
No Codec AV1 Decode
Decode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Apple M1 Max (32-GPU) supports a maximum of 64 GB of memory in 4 memory channels. The Samsung Exynos 2100 can connect up to 12 GB of memory in 4 memory channels.

Apple M1 Max (32-GPU) Characteristic Samsung Exynos 2100
LPDDR5-6400 Memory LPDDR5-6400
64 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 4 (Quad Channel)
409.6 GB/s Max. Bandwidth 51.2 GB/s
No ECC No
28.00 MB L2 Cache --
-- L3 Cache --
4.0 PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Apple M1 Max (32-GPU) has a TDP of 45 W, that of the Samsung Exynos 2100 is --.

Apple M1 Max (32-GPU) Characteristic Samsung Exynos 2100
45 W TDP (PL1 / PBP) --
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Apple M1 Max (32-GPU) has a 28.00 MB cache, while the Samsung Exynos 2100 cache has a total of 0.00 MB.

Apple M1 Max (32-GPU) Characteristic Samsung Exynos 2100
5 nm Technology 5 nm
Chiplet Chip design Unknown
Armv8.5-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
Rosetta 2 x86-Emulation ISA extensions --
-- Socket --
Apple Virtualization Framework Virtualization None
Yes AES-NI No
macOS Operating systems Android
Q3/2021 Release date Q1/2021
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Apple M1 Max (32-GPU) to help other visitors make their purchasing decisions. The average rating is 5.0 stars (33 ratings). Rate now:
Here you can rate the Samsung Exynos 2100 to help other visitors make their purchasing decisions. The average rating is 4.1 stars (9 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Apple M1 Max (32-GPU) (100%)
Samsung Exynos 2100 (57%)
⌀ Multi core performance in 3 CPU benchmarks
Apple M1 Max (32-GPU) (100%)
Samsung Exynos 2100 (26%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
1783 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
1011 (57%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12693 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
3355 (26%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
2397 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
1334 (56%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12439 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
3339 (27%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
Apple M1 Max (32 Core) @ 1.30 GHz
10600 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
ARM Mali-G78 MP14 @ 0.76 GHz
1360 (13%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
22255 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
5308 (24%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
112 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
796 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
1534 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
12402 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 0.60 GHz
0 (0%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
724660 (100%)

AnTuTu 8 Benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 0.60 GHz
0 (0%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
602990 (100%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 3.20 GHz
192 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

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.
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
12,402 CB R23 MC @ 45 W
275 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
2.90 GHz
0 (0%)

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).
Apple M1 Max (32-GPU) Apple M1 Max (32-GPU)
10C 10T @ 0.60 GHz
11 (100%)
Samsung Exynos 2100 Samsung Exynos 2100
8C 8T @ 2.90 GHz
0 (0%)

Devices using this processor

Apple M1 Max (32-GPU) Samsung Exynos 2100
Apple MacBook Pro 14 (2021)
Apple MacBook Pro 16 (2021)
Samsung Galaxy S21
Samsung Galaxy S21 Plus
Samsung Galaxy S21 Ultra

News and articles for the Apple M1 Max (32-GPU) and the Samsung Exynos 2100


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