Google Tensor G3 vs AMD Ryzen Embedded 5800E

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CPU comparison with benchmarks


Google Tensor G3 CPU1 vs CPU2 AMD Ryzen Embedded 5800E
Google Tensor G3 AMD Ryzen Embedded 5800E

CPU comparison

Google Tensor G3 or AMD Ryzen Embedded 5800E - 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 G3 has 8 cores with 8 threads and clocks with a maximum frequency of 2.91 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G3 was released in Q3/2023.

The AMD Ryzen Embedded 5800E has 8 cores with 16 threads and clocks with a maximum frequency of 3.70 GHz. The CPU supports up to 128 GB of memory in 2 memory channels. The AMD Ryzen Embedded 5800E was released in Q2/2023.
Google Tensor (3) Family AMD Ryzen Embedded (4)
Google Tensor G3 (1) CPU group AMD Ryzen Embedded 5000 (4)
3 Generation 3
G3 Architecture Vermeer (Zen 3)
Mobile Segment Desktop / Server
Google Tensor Predecessor --
-- Successor --

CPU Cores and Base Frequency

The Google Tensor G3 is a 8 core processor with a clock frequency of 2.91 GHz. The AMD Ryzen Embedded 5800E has 8 CPU cores with a clock frequency of 3.40 GHz (3.70 GHz).

Google Tensor G3 Characteristic AMD Ryzen Embedded 5800E
8 Cores 8
8 Threads 16
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading Yes
No Overclocking ? No
2.91 GHz
1x Cortex-X3
A-Core 3.40 GHz (3.70 GHz)
8x Zen 3
2.37 GHz
4x Cortex-A715
B-Core --
1.70 GHz
4x Cortex-A510
C-Core --

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.

Google Tensor G3 Characteristic AMD Ryzen Embedded 5800E
Google Tensor AI AI hardware --
Google Edge TPU AI specifications --
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

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 Immortalis-G715 MP10 GPU no iGPU
0.89 GHz GPU frequency --
-- GPU (Turbo) --
Vallhall GPU Generation --
4 nm Technology
0 Max. displays
10 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 Immortalis-G715 MP10 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 / Encode Codec AV1 No
Decode / Encode Codec AVC No
Decode / Encode Codec VC-1 No
Decode / Encode Codec JPEG No

Memory & PCIe

The Google Tensor G3 supports a maximum of 12 GB of memory in 2 memory channels. The AMD Ryzen Embedded 5800E can connect up to 128 GB of memory in 2 memory channels.

Google Tensor G3 Characteristic AMD Ryzen Embedded 5800E
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
-- L2 Cache 4.00 MB
-- L3 Cache 32.00 MB
-- PCIe version 4.0
-- PCIe lanes 24
-- PCIe Bandwidth 47.3 GB/s

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Google Tensor G3 has a TDP of 10 W, that of the AMD Ryzen Embedded 5800E is 100 W.

Google Tensor G3 Characteristic AMD Ryzen Embedded 5800E
10 W TDP (PL1 / PBP) 100 W
-- TDP (PL2) --
-- TDP up --
-- TDP down 65 W
-- Tjunction max. 105 °C

Technical details

The Google Tensor G3 has a 0.00 MB cache, while the AMD Ryzen Embedded 5800E cache has a total of 36.00 MB.

Google Tensor G3 Characteristic AMD Ryzen Embedded 5800E
4 nm Technology 7 nm
Chiplet Chip design Chiplet
Armv9-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4a, SSE4.1, SSE4.2, SSE4a, AVX2, FMA3
-- Socket AM4 (PGA 1331)
None Virtualization AMD-V, SVM
No AES-NI Yes
Android Operating systems Windows 10, Windows 11, Linux
Q3/2023 Release date Q2/2023
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Google Tensor G3 to help other visitors make their purchasing decisions. The average rating is 3.7 stars (34 ratings). Rate now:
Here you can rate the AMD Ryzen Embedded 5800E to help other visitors make their purchasing decisions. The average rating is 0 stars (0 ratings). Rate now:


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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
1267 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.70 GHz
0 (0%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
3631 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.40 GHz
0 (0%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
1759 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.70 GHz
0 (0%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
4533 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.40 GHz
0 (0%)

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 G3 Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz
1 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
@ 0.00 GHz
0 (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.
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1106280 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.40 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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
894587 (100%)
AMD Ryzen Embedded 5800E AMD Ryzen Embedded 5800E
8C 16T @ 3.40 GHz
0 (0%)

Devices using this processor

Google Tensor G3 AMD Ryzen Embedded 5800E
Google Pixel 8
Google Pixel 8 Pro
Unknown

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