Intel Xeon E5-2680 v4 vs Google Tensor G2

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CPU comparison with benchmarks


Intel Xeon E5-2680 v4 CPU1 vs CPU2 Google Tensor G2
Intel Xeon E5-2680 v4 Google Tensor G2

CPU comparison

Intel Xeon E5-2680 v4 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 Intel Xeon E5-2680 v4 has 14 cores with 28 threads and clocks with a maximum frequency of 3.30 GHz. Up to 1536 GB of memory is supported in 4 memory channels. The Intel Xeon E5-2680 v4 was released in Q1/2016.

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.
Intel Xeon E5 (71) Family Google Tensor (3)
Intel Xeon E5 v4 (24) CPU group Google Tensor G2 (1)
6 Generation 2
Broadwell E Architecture G2
Desktop / Server Segment Mobile
Intel Xeon E5-2680 v3 Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The Intel Xeon E5-2680 v4 is a 14 core processor with a clock frequency of 2.40 GHz (3.30 GHz). The Google Tensor G2 has 8 CPU cores with a clock frequency of 2.85 GHz.

Intel Xeon E5-2680 v4 Characteristic Google Tensor G2
14 Cores 8
28 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
Yes Hyperthreading No
No Overclocking ? No
2.40 GHz (3.30 GHz) A-Core 2.85 GHz
2x Cortex-X1
-- 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.

Intel Xeon E5-2680 v4 Characteristic Google Tensor G2
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 4 TOPS

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.

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

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

Memory & PCIe

The Intel Xeon E5-2680 v4 supports a maximum of 1536 GB of memory in 4 memory channels. The Google Tensor G2 can connect up to 12 GB of memory in 2 memory channels.

Intel Xeon E5-2680 v4 Characteristic Google Tensor G2
DDR4-2400 Memory LPDDR5-5500
1536 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 2 (Dual Channel)
76.8 GB/s Max. Bandwidth 53.0 GB/s
Yes ECC No
-- L2 Cache 8.00 MB
35.00 MB L3 Cache 4.00 MB
3.0 PCIe version --
40 PCIe lanes --
39.4 GB/s PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Intel Xeon E5-2680 v4 has a TDP of 120 W, that of the Google Tensor G2 is 10 W.

Intel Xeon E5-2680 v4 Characteristic Google Tensor G2
120 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Intel Xeon E5-2680 v4 has a 35.00 MB cache, while the Google Tensor G2 cache has a total of 12.00 MB.

Intel Xeon E5-2680 v4 Characteristic Google Tensor G2
14 nm Technology 4 nm
Monolithic Chip design Chiplet
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2, AVX2 ISA extensions --
LGA 2011-3 Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Windows 10, Linux Operating systems Android
Q1/2016 Release date Q4/2022
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Xeon E5-2680 v4 to help other visitors make their purchasing decisions. The average rating is 4.6 stars (22 ratings). Rate now:
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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Intel Xeon E5-2680 v4 (80%)
Google Tensor G2 (100%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Xeon E5-2680 v4 (100%)
Google Tensor G2 (36%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
892 (84%)
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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
10459 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (30%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
1069 (75%)
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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
7966 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (42%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
124 (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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
695 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
213 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
3107 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
@ 0.00 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
230 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
17951 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 3.30 GHz
138 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.70 GHz
2004 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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).
Intel Xeon E5-2680 v4 Intel Xeon E5-2680 v4
14C 28T @ 2.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)

Devices using this processor

Intel Xeon E5-2680 v4 Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

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