AMD Ryzen 3 PRO 8300G vs Google Tensor G2

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CPU comparison with benchmarks


AMD Ryzen 3 PRO 8300G CPU1 vs CPU2 Google Tensor G2
AMD Ryzen 3 PRO 8300G Google Tensor G2

CPU comparison

AMD Ryzen 3 PRO 8300G or Google Tensor G2 - 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 AMD Ryzen 3 PRO 8300G has 4 cores with 8 threads and clocks with a maximum frequency of 4.90 GHz. Up to 256 GB of memory is supported in 2 memory channels. The AMD Ryzen 3 PRO 8300G was released in Q2/2024.

The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022.
AMD Ryzen 3 PRO (16) Family Google Tensor (3)
AMD Ryzen 8000G (14) CPU group Google Tensor G2 (1)
6 Generation 2
Phoenix (Zen 4) Architecture G2
Desktop / Server Segment Mobile
-- Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The AMD Ryzen 3 PRO 8300G has 4 CPU cores and can calculate 8 threads in parallel. The clock frequency of the AMD Ryzen 3 PRO 8300G is 4.00 GHz (4.90 GHz) while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz.

AMD Ryzen 3 PRO 8300G Characteristic Google Tensor G2
4 Cores 8
8 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
Yes Hyperthreading No
No Overclocking ? No
4.00 GHz (4.90 GHz)
1x Zen 4
A-Core 2.85 GHz
2x Cortex-X1
3.20 GHz (3.60 GHz)
3x Zen 4c
B-Core 2.35 GHz
2x Cortex-A78
-- C-Core 1.80 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.

AMD Ryzen 3 PRO 8300G Characteristic Google Tensor G2
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 4 TOPS

Internal Graphics

The AMD Ryzen 3 PRO 8300G or Google Tensor G2 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.

AMD Radeon 740M GPU ARM Mali-G710 MP7
0.80 GHz GPU frequency 0.90 GHz
2.60 GHz GPU (Turbo) --
10 GPU Generation Vallhall 3
4 nm Technology 4 nm
4 Max. displays 1
4 Compute units 7
256 Shader --
Yes Hardware Raytracing No
AMD FSR Frame Generation No
32 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.

AMD Radeon 740M GPU ARM Mali-G710 MP7
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 Codec VP9 Decode / Encode
Decode Codec VP8 Decode / Encode
Decode / Encode Codec AV1 Decode
Decode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The AMD Ryzen 3 PRO 8300G can use up to 256 GB of memory in 2 memory channels. The maximum memory bandwidth is 83.2 GB/s. The Google Tensor G2 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s.

AMD Ryzen 3 PRO 8300G Characteristic Google Tensor G2
DDR5-5200 Memory LPDDR5-5500
256 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
83.2 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
4.00 MB L2 Cache 8.00 MB
8.00 MB L3 Cache 4.00 MB
4.0 PCIe version --
14 PCIe lanes --
27.6 GB/s PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the AMD Ryzen 3 PRO 8300G is 65 W, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

AMD Ryzen 3 PRO 8300G Characteristic Google Tensor G2
65 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
45 W TDP down --
95 °C Tjunction max. --

Technical details

The AMD Ryzen 3 PRO 8300G is manufactured in 4 nm and has 12.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache.

AMD Ryzen 3 PRO 8300G Characteristic Google Tensor G2
4 nm Technology 4 nm
Monolithic Chip design Chiplet
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4a, SSE4.1, SSE4.2,FMA3, AVX2, AVX512 ISA extensions --
AM5 (LGA 1718) Socket --
AMD-V, SVM Virtualization None
Yes AES-NI No
Windows 10, Windows 11, Linux Operating systems Android
Q2/2024 Release date Q4/2022
-- Release price --
show more data show more data


Rate these processors

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Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.0 stars (24 ratings). Rate now:


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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
AMD Radeon 740M @ 2.60 GHz
1331 (100%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (53%)

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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.90 GHz
96 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.90 GHz
510 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.90 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.60 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.90 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.60 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (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.
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.00 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (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).
AMD Ryzen 3 PRO 8300G AMD Ryzen 3 PRO 8300G
4C 8T @ 4.00 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)

Devices using this processor

AMD Ryzen 3 PRO 8300G Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

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