Google Tensor vs Intel Xeon E5-2697 v2

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CPU comparison with benchmarks


Google Tensor CPU1 vs CPU2 Intel Xeon E5-2697 v2
Google Tensor Intel Xeon E5-2697 v2

CPU comparison

Google Tensor or Intel Xeon E5-2697 v2 - 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 has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor was released in Q4/2021.

The Intel Xeon E5-2697 v2 has 12 cores with 24 threads and clocks with a maximum frequency of 3.50 GHz. The CPU supports up to 768 GB of memory in 4 memory channels. The Intel Xeon E5-2697 v2 was released in Q3/2013.
Google Tensor (3) Family Intel Xeon E5 (71)
Google Tensor (1) CPU group Intel Xeon E5 v2 (15)
1 Generation 4
G1 Architecture Ivy Bridge EP
Mobile Segment Desktop / Server
-- Predecessor --
Google Tensor G2 Successor Intel Xeon E5-2697 v3

CPU Cores and Base Frequency

The Google Tensor has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor is 2.80 GHz while the Intel Xeon E5-2697 v2 has 12 CPU cores and 24 threads can calculate simultaneously. The clock frequency of the Intel Xeon E5-2697 v2 is at 2.70 GHz (3.50 GHz).

Google Tensor Characteristic Intel Xeon E5-2697 v2
8 Cores 12
8 Threads 24
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading Yes
No Overclocking ? No
2.80 GHz
2x Cortex-X1
A-Core 2.70 GHz (3.50 GHz)
2.25 GHz
2x Cortex-A76
B-Core --
1.80 GHz
4x Cortex-A55
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 Characteristic Intel Xeon E5-2697 v2
Google Tensor AI AI hardware --
Google Edge TPU @ 1.6 TOPS AI specifications --
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

The Google Tensor or Intel Xeon E5-2697 v2 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-G78 MP20 GPU no iGPU
0.76 GHz GPU frequency --
-- GPU (Turbo) --
Vallhall 2 GPU Generation --
5 nm Technology
1 Max. displays
20 Compute units --
320 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-G78 MP20 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 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Intel Xeon E5-2697 v2 supports up to 768 GB of memory in 4 memory channels and achieves a memory bandwidth of up to 59.7 GB/s.

Google Tensor Characteristic Intel Xeon E5-2697 v2
LPDDR5-5500 Memory DDR3-1866
12 GB Max. Memory 768 GB
2 (Dual Channel) Memory channels 4 (Quad Channel)
53.0 GB/s Max. Bandwidth 59.7 GB/s
No ECC Yes
8.00 MB L2 Cache --
-- L3 Cache 30.00 MB
-- PCIe version 3.0
-- PCIe lanes 40
-- PCIe Bandwidth 39.4 GB/s

Thermal Management

The thermal design power (TDP for short) of the Google Tensor is 10 W, while the Intel Xeon E5-2697 v2 has a TDP of 130 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor Characteristic Intel Xeon E5-2697 v2
10 W TDP (PL1 / PBP) 130 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Google Tensor is manufactured in 5 nm and has 8.00 MB cache. The Intel Xeon E5-2697 v2 is manufactured in 22 nm and has a 30.00 MB cache.

Google Tensor Characteristic Intel Xeon E5-2697 v2
5 nm Technology 22 nm
Unknown Chip design Monolithic
Armv8-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4.1, SSE4.2, AVX
-- Socket LGA 2011
None Virtualization VT-x, VT-x EPT, VT-d
No AES-NI Yes
Android Operating systems Windows 10, Linux
Q4/2021 Release date Q3/2013
-- Release price 1975 $
show more data show more data


Rate these processors

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:
Here you can rate the Intel Xeon E5-2697 v2 to help other visitors make their purchasing decisions. The average rating is 3.5 stars (8 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor (100%)
Intel Xeon E5-2697 v2 (60%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor (54%)
Intel Xeon E5-2697 v2 (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 Google Tensor
8C 8T @ 2.80 GHz
1043 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.50 GHz
762 (73%)

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 Google Tensor
8C 8T @ 2.80 GHz
2915 (37%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.10 GHz
7782 (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 Google Tensor
8C 8T @ 2.80 GHz
1494 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.50 GHz
702 (47%)

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 Google Tensor
8C 8T @ 2.80 GHz
3639 (70%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.10 GHz
5167 (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 Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.50 GHz
651 (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 Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.10 GHz
8249 (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 Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
@ 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 Google Tensor
8C 8T @ 2.80 GHz
691770 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 2.70 GHz
0 (0%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 2.70 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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.10 GHz
17198 (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 Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 2.70 GHz
4519 (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 Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.50 GHz
98 (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 Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 3.10 GHz
1557 (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).
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)
Intel Xeon E5-2697 v2 Intel Xeon E5-2697 v2
12C 24T @ 2.70 GHz
0 (0%)

Devices using this processor

Google Tensor Intel Xeon E5-2697 v2
Google Pixel 6
Google Pixel 6 Pro
Unknown

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