Google Tensor G2 vs AMD Ryzen 5 3600X

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CPU comparison with benchmarks


Google Tensor G2 CPU1 vs CPU2 AMD Ryzen 5 3600X
Google Tensor G2 AMD Ryzen 5 3600X

CPU comparison

Google Tensor G2 or AMD Ryzen 5 3600X - 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 Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G2 was released in Q4/2022.

The AMD Ryzen 5 3600X has 6 cores with 12 threads and clocks with a maximum frequency of 4.40 GHz. The CPU supports up to 128 GB of memory in 2 memory channels. The AMD Ryzen 5 3600X was released in Q3/2019.
Google Tensor (3) Family AMD Ryzen 5 (85)
Google Tensor G2 (1) CPU group AMD Ryzen 3000 (15)
2 Generation 3
G2 Architecture Matisse (Zen 2)
Mobile Segment Desktop / Server
Google Tensor Predecessor AMD Ryzen 5 2600X
-- Successor AMD Ryzen 5 5600X

CPU Cores and Base Frequency

The Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor G2 is 2.85 GHz while the AMD Ryzen 5 3600X has 6 CPU cores and 12 threads can calculate simultaneously. The clock frequency of the AMD Ryzen 5 3600X is at 3.80 GHz (4.40 GHz).

Google Tensor G2 Characteristic AMD Ryzen 5 3600X
8 Cores 6
8 Threads 12
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading Yes
No Overclocking ? Yes
2.85 GHz
2x Cortex-X1
A-Core 3.80 GHz (4.40 GHz)
2.35 GHz
2x Cortex-A78
B-Core --
1.80 GHz
4x Cortex-A55
C-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.

Google Tensor G2 Characteristic AMD Ryzen 5 3600X
Google Tensor AI AI hardware --
Google Edge TPU @ 4 TOPS AI specifications --

Internal Graphics

The Google Tensor G2 or AMD Ryzen 5 3600X 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.

ARM Mali-G710 MP7 GPU no iGPU
0.90 GHz GPU frequency --
-- GPU (Turbo) --
Vallhall 3 GPU Generation --
4 nm Technology
1 Max. displays
7 Compute units --
-- Shader --
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory --
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.

ARM Mali-G710 MP7 GPU no iGPU
Decode / Encode Codec h265 / HEVC (8 bit) No
Decode / Encode Codec h265 / HEVC (10 bit) No
Decode / Encode Codec h264 No
Decode / Encode Codec VP9 No
Decode / Encode Codec VP8 No
Decode Codec AV1 No
Decode / Encode Codec AVC No
Decode / Encode Codec VC-1 No
Decode / Encode Codec JPEG No

Memory & PCIe

The Google Tensor G2 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The AMD Ryzen 5 3600X supports up to 128 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 51.2 GB/s.

Google Tensor G2 Characteristic AMD Ryzen 5 3600X
LPDDR5-5500 Memory DDR4-3200
12 GB Max. Memory 128 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
53.0 GB/s Max. Bandwidth 51.2 GB/s
No ECC Yes
8.00 MB L2 Cache --
4.00 MB L3 Cache 32.00 MB
-- PCIe version 4.0
-- PCIe lanes 20
-- PCIe Bandwidth 39.4 GB/s

Thermal Management

The thermal design power (TDP for short) of the Google Tensor G2 is 10 W, while the AMD Ryzen 5 3600X has a TDP of 95 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor G2 Characteristic AMD Ryzen 5 3600X
10 W TDP (PL1 / PBP) 95 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. 95 °C

Technical details

The Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The AMD Ryzen 5 3600X is manufactured in 7 nm and has a 32.00 MB cache.

Google Tensor G2 Characteristic AMD Ryzen 5 3600X
4 nm Technology 7 nm
Chiplet Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4a, SSE4.1, SSE4.2, AVX2, FMA3
-- Socket AM4 (PGA 1331)
None Virtualization AMD-V, SVM
No AES-NI Yes
Android Operating systems Windows 10, Windows 11, Linux
Q4/2022 Release date Q3/2019
-- Release price 215 $
show more data show more data


Rate these processors

Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.0 stars (23 ratings). Rate now:
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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor G2 (88%)
AMD Ryzen 5 3600X (100%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor G2 (47%)
AMD Ryzen 5 3600X (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (86%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
1245 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (45%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
6992 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (89%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
1605 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (49%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
6822 (100%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
69 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
468 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
1301 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
9704 (100%)

Cinebench R20 (Single-Core)

Cinebench R20 is the successor of Cinebench R15 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
501 (100%)

Cinebench R20 (Multi-Core)

Cinebench R20 is the successor of Cinebench R15 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
3751 (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.
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (100%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
@ 0.00 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 3.80 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
142 (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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
18267 (100%)

Blender 2.81 (bmw27)

Blender is a free 3D graphics software for rendering (creating) 3D bodies, which can also be textured and animated in the software. The Blender benchmark creates predefined scenes and measures the time (s) required for the entire scene. The shorter the time required, the better. We selected bmw27 as the benchmark scene.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
233.9 (100%)

CPU-Z Benchmark 17 (Single-Core)

The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
503 (100%)

CPU-Z Benchmark 17 (Multi-Core)

The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 3.80 GHz
4083 (100%)

Cinebench R15 (Single-Core)

Cinebench R15 is the successor of Cinebench 11.5 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.40 GHz
204 (100%)

Cinebench R15 (Multi-Core)

Cinebench R15 is the successor of Cinebench 11.5 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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 4.20 GHz
1647 (100%)

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).
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)
AMD Ryzen 5 3600X AMD Ryzen 5 3600X
6C 12T @ 3.80 GHz
0 (0%)

Devices using this processor

Google Tensor G2 AMD Ryzen 5 3600X
Google Pixel 7
Google Pixel 7 Pro
dercomputerladen PC mit Ryzen 5 3600X
Memory Gaming PC mit Ryzen 5 3600X

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