Samsung Exynos 1480 vs Google Tensor

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CPU comparison with benchmarks


Samsung Exynos 1480 CPU1 vs CPU2 Google Tensor
Samsung Exynos 1480 Google Tensor

CPU comparison

In this CPU comparison, we compare the Samsung Exynos 1480 and the Google Tensor and use benchmarks to check which processor is faster.

We compare the Samsung Exynos 1480 8 core processor released in Q2/2024 with the Google Tensor which has 8 CPU cores and was introduced in Q4/2021.
Samsung Exynos (47) Family Google Tensor (3)
Samsung Exynos 14xx (1) CPU group Google Tensor (1)
8 Generation 1
Cortex-A78/-A55 Architecture G1
Mobile Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The Samsung Exynos 1480 is a 8 core processor with a clock frequency of 2.75 GHz. The processor can compute 8 threads at the same time. The Google Tensor clocks with 2.80 GHz, has 8 CPU cores and can calculate 8 threads in parallel.

Samsung Exynos 1480 Characteristic Google Tensor
8 Cores 8
8 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.75 GHz
4x Cortex-A78
A-Core 2.80 GHz
2x Cortex-X1
2.00 GHz
4x Cortex-A55
B-Core 2.25 GHz
2x Cortex-A76
-- C-Core 1.80 GHz
4x Cortex-A55

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 1480 Characteristic Google Tensor
Samsung AI engine AI hardware Google Tensor AI
AI Engine with 6K MAC NPU AI specifications Google Edge TPU @ 1.6 TOPS
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

Graphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback.

Samsung Xclipse 530 GPU ARM Mali-G78 MP20
1.30 GHz GPU frequency 0.76 GHz
1.30 GHz GPU (Turbo) --
-- GPU Generation Vallhall 2
4 nm Technology 5 nm
0 Max. displays 1
-- Compute units 20
-- Shader 320
No Hardware Raytracing No
No Frame Generation No
-- 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.

Samsung Xclipse 530 GPU ARM Mali-G78 MP20
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 / Encode
Decode Codec AV1 Decode
No Codec AVC Decode / Encode
No Codec VC-1 Decode / Encode
No Codec JPEG Decode / Encode

Memory & PCIe

Up to GB of memory in a maximum of 0 memory channels is supported by the Samsung Exynos 1480, while the Google Tensor supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled.

Samsung Exynos 1480 Characteristic Google Tensor
LPDDR4X, LPDDR5 Memory LPDDR5-5500
Max. Memory 12 GB
0 Memory channels 2 (Dual Channel)
-- Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
-- L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The Samsung Exynos 1480 has a TDP of --. The TDP of the Google Tensor is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution.

Samsung Exynos 1480 Characteristic Google Tensor
-- TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Samsung Exynos 1480 has 0.00 MB cache and is manufactured in 4 nm. The cache of Google Tensor is at 8.00 MB. The processor is manufactured in 5 nm.

Samsung Exynos 1480 Characteristic Google Tensor
4 nm Technology 5 nm
Unknown Chip design Unknown
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Android, Windows ARM Operating systems Android
Q2/2024 Release date Q4/2021
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Samsung Exynos 1480 to help other visitors make their purchasing decisions. The average rating is 3.7 stars (12 ratings). Rate now:
Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.3 stars (14 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Samsung Exynos 1480 (82%)
Google Tensor (100%)
⌀ Multi core performance in 2 CPU benchmarks
Samsung Exynos 1480 (98%)
Google Tensor (94%)

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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
893 (86%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1043 (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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
3358 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (87%)

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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
1161 (78%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1494 (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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
3472 (95%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (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 1480 Samsung Exynos 1480
Samsung Xclipse 530 @ 1.30 GHz
0 (0%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
742548 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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.
Samsung Exynos 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
691770 (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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (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 1480 Samsung Exynos 1480
8C 8T @ 2.75 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Samsung Exynos 1480 Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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