Apple M2 Ultra (60-GPU) vs Samsung Exynos 7880

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CPU comparison with benchmarks


Apple M2 Ultra (60-GPU) CPU1 vs CPU2 Samsung Exynos 7880
Apple M2 Ultra (60-GPU) Samsung Exynos 7880

CPU comparison

Apple M2 Ultra (60-GPU) or Samsung Exynos 7880 - 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 M2 Ultra (60-GPU) has 24 cores with 24 threads and clocks with a maximum frequency of 3.50 GHz. Up to 192 GB of memory is supported in 8 memory channels. The Apple M2 Ultra (60-GPU) was released in Q2/2023.

The Samsung Exynos 7880 has 8 cores with 8 threads and clocks with a maximum frequency of 1.90 GHz. The CPU supports up to GB of memory in 0 memory channels. The Samsung Exynos 7880 was released in Q1/2017.
Apple M series (25) Family Samsung Exynos (47)
Apple M2 (8) CPU group Samsung Exynos 7570/7870/7880 (4)
2 Generation 1
M2 Architecture Cortex-A53
Mobile Segment Mobile
Apple M1 Ultra (48-GPU) Predecessor --
-- Successor --

CPU Cores and Base Frequency

The Apple M2 Ultra (60-GPU) has 24 CPU cores and can calculate 24 threads in parallel. The clock frequency of the Apple M2 Ultra (60-GPU) is 0.66 GHz (3.50 GHz) while the Samsung Exynos 7880 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Samsung Exynos 7880 is at 1.90 GHz.

Apple M2 Ultra (60-GPU) Characteristic Samsung Exynos 7880
24 Cores 8
24 Threads 8
hybrid (big.LITTLE) Core architecture normal
No Hyperthreading No
No Overclocking ? No
0.66 GHz (3.50 GHz)
16x Avalanche
A-Core 1.90 GHz
8x Cortex-A53
0.60 GHz (2.42 GHz)
8x Blizzard
B-Core --

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 M2 Ultra (60-GPU) Characteristic Samsung Exynos 7880
Apple Neural Engine AI hardware --
32 Neural cores @ 31.6 TOPS AI specifications --

Internal Graphics

The Apple M2 Ultra (60-GPU) or Samsung Exynos 7880 has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die.

Apple M2 Ultra (60 Core) GPU ARM Mali-T830 MP3
0.45 GHz GPU frequency 0.60 GHz
1.40 GHz GPU (Turbo) 0.60 GHz
2 GPU Generation Midgard 4
5 nm Technology 28nm
8 Max. displays 2
960 Compute units 3
7680 Shader 48
No Hardware Raytracing No
No Frame Generation No
192 GB Max. GPU Memory --
-- DirectX Version 11

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 M2 Ultra (60 Core) GPU ARM Mali-T830 MP3
Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 No
Decode Codec VP8 Decode / Encode
No Codec AV1 No
Decode Codec AVC No
Decode Codec VC-1 No
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Apple M2 Ultra (60-GPU) can use up to 192 GB of memory in 8 memory channels. The maximum memory bandwidth is 819.1 GB/s. The Samsung Exynos 7880 supports up to GB of memory in 0 memory channels and achieves a memory bandwidth of up to --.

Apple M2 Ultra (60-GPU) Characteristic Samsung Exynos 7880
LPDDR5-6400 Memory LPDDR4-1600
192 GB Max. Memory
8 (Octa Channel) Memory channels 0
819.1 GB/s Max. Bandwidth --
No ECC No
72.00 MB L2 Cache 2.00 MB
-- L3 Cache --
4.0 PCIe version --
64 PCIe lanes --
126.0 GB/s PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Apple M2 Ultra (60-GPU) is 80 W, while the Samsung Exynos 7880 has a TDP of --. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Apple M2 Ultra (60-GPU) Characteristic Samsung Exynos 7880
80 W TDP (PL1 / PBP) --
-- TDP (PL2) --
-- TDP up --
-- TDP down --
100 °C Tjunction max. --

Technical details

The Apple M2 Ultra (60-GPU) is manufactured in 5 nm and has 72.00 MB cache. The Samsung Exynos 7880 is manufactured in 14 nm and has a 2.00 MB cache.

Apple M2 Ultra (60-GPU) Characteristic Samsung Exynos 7880
5 nm Technology 14 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, iPadOS Operating systems Android
Q2/2023 Release date Q1/2017
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Apple M2 Ultra (60-GPU) to help other visitors make their purchasing decisions. The average rating is 4.9 stars (167 ratings). Rate now:
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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Apple M2 Ultra (60-GPU) (100%)
Samsung Exynos 7880 (7%)
⌀ Multi core performance in 3 CPU benchmarks
Apple M2 Ultra (60-GPU) (100%)
Samsung Exynos 7880 (4%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
1940 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
158 (8%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
27860 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
976 (4%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
2689 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
168 (6%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
21450 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
840 (4%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
Apple M2 Ultra (60 Core) @ 1.40 GHz
21300 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
ARM Mali-T830 MP3 @ 0.60 GHz
61 (0%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
48560 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
1785 (4%)

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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
126 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
1918 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
1695 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 3.50 GHz
28570 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
28,570 CB R23 MC @ 80 W
357 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
1.90 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 M2 Ultra (60-GPU) Apple M2 Ultra (60-GPU)
24C 24T @ 0.66 GHz
31.6 (100%)
Samsung Exynos 7880 Samsung Exynos 7880
8C 8T @ 1.90 GHz
0 (0%)

Devices using this processor

Apple M2 Ultra (60-GPU) Samsung Exynos 7880
Unknown Unknown

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