Samsung Exynos 990 vs Google Tensor G3

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CPU comparison with benchmarks


Samsung Exynos 990 CPU1 vs CPU2 Google Tensor G3
Samsung Exynos 990 Google Tensor G3

CPU comparison

Samsung Exynos 990 or Google Tensor G3 - 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 990 has 8 cores with 8 threads and clocks with a maximum frequency of 2.73 GHz. Up to 12 GB of memory is supported in 4 memory channels. The Samsung Exynos 990 was released in Q1/2020.

The Google Tensor G3 has 8 cores with 8 threads and clocks with a maximum frequency of 2.91 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G3 was released in Q3/2023.
Samsung Exynos (47) Family Google Tensor (3)
Samsung Exynos 990 (1) CPU group Google Tensor G3 (1)
4 Generation 3
Exynos M5/Cortex-A76/-A55 Architecture G3
Mobile Segment Mobile
-- Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The Samsung Exynos 990 is a 8 core processor with a clock frequency of 2.73 GHz. The Google Tensor G3 has 8 CPU cores with a clock frequency of 2.91 GHz.

Samsung Exynos 990 Characteristic Google Tensor G3
8 Cores 8
8 Threads 8
hybrid (Prime / big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.73 GHz
2x Exynos M5
A-Core 2.91 GHz
1x Cortex-X3
2.50 GHz
2x Cortex-A76
B-Core 2.37 GHz
4x Cortex-A715
2.00 GHz
4x Cortex-A55
C-Core 1.70 GHz
4x Cortex-A510

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.

Samsung Exynos 990 Characteristic Google Tensor G3
Samsung AI engine AI hardware Google Tensor AI
2 NPU cores @ 15 TOPS AI specifications Google Edge TPU

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.

ARM Mali-G77 MP11 GPU ARM Immortalis-G715 MP10
0.80 GHz GPU frequency 0.89 GHz
-- GPU (Turbo) --
Vallhall 1 GPU Generation Vallhall
7 nm Technology 4 nm
1 Max. displays 0
11 Compute units 10
176 Shader --
No Hardware Raytracing No
No Frame Generation No
4 GB Max. GPU Memory --
12 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.

ARM Mali-G77 MP11 GPU ARM Immortalis-G715 MP10
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 / Encode Codec VP8 Decode / Encode
Decode Codec AV1 Decode / Encode
Decode / Encode Codec AVC Decode / Encode
Decode / Encode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Samsung Exynos 990 supports a maximum of 12 GB of memory in 4 memory channels. The Google Tensor G3 can connect up to 12 GB of memory in 2 memory channels.

Samsung Exynos 990 Characteristic Google Tensor G3
LPDDR5-2750 Memory LPDDR5-5500
12 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 2 (Dual Channel)
-- Max. Bandwidth 53.0 GB/s
No ECC No
1.50 MB L2 Cache --
2.00 MB L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Samsung Exynos 990 has a TDP of --, that of the Google Tensor G3 is 10 W.

Samsung Exynos 990 Characteristic Google Tensor G3
-- TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Samsung Exynos 990 has a 3.50 MB cache, while the Google Tensor G3 cache has a total of 0.00 MB.

Samsung Exynos 990 Characteristic Google Tensor G3
7 nm Technology 4 nm
Unknown Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) Armv9-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Android Operating systems Android
Q1/2020 Release date Q3/2023
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Samsung Exynos 990 to help other visitors make their purchasing decisions. The average rating is 4.6 stars (5 ratings). Rate now:
Here you can rate the Google Tensor G3 to help other visitors make their purchasing decisions. The average rating is 3.6 stars (28 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Samsung Exynos 990 (69%)
Google Tensor G3 (100%)
⌀ Multi core performance in 2 CPU benchmarks
Samsung Exynos 990 (68%)
Google Tensor G3 (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 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
923 (73%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1267 (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 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
2779 (77%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
3631 (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 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
1144 (65%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1759 (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 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
2645 (58%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
4533 (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 990 Samsung Exynos 990
ARM Mali-G77 MP11 @ 0.80 GHz
1126 (100%)
Google Tensor G3 Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz
1 (0%)

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 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
0 (0%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1106280 (100%)

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.
Samsung Exynos 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
0 (0%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
894587 (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.
Samsung Exynos 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
510697 (100%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (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.
Samsung Exynos 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
5511 (100%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 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).
Samsung Exynos 990 Samsung Exynos 990
8C 8T @ 2.73 GHz
15 (100%)
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)

Devices using this processor

Samsung Exynos 990 Google Tensor G3
Samsung Galaxy S20
Samsung Galaxy S20+
Samsung Galaxy S20 Ultra
Google Pixel 8
Google Pixel 8 Pro

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