Google Tensor G3 vs Intel Xeon E5-2650 v2

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CPU comparison with benchmarks


Google Tensor G3 CPU1 vs CPU2 Intel Xeon E5-2650 v2
Google Tensor G3 Intel Xeon E5-2650 v2

CPU comparison

Google Tensor G3 or Intel Xeon E5-2650 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 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 Intel Xeon E5-2650 v2 has 8 cores with 16 threads and clocks with a maximum frequency of 3.40 GHz. The CPU supports up to 768 GB of memory in 4 memory channels. The Intel Xeon E5-2650 v2 was released in Q3/2013.
Google Tensor (3) Family Intel Xeon E5 (71)
Google Tensor G3 (1) CPU group Intel Xeon E5 v2 (15)
3 Generation 4
G3 Architecture Ivy Bridge EP
Mobile Segment Desktop / Server
Google Tensor Predecessor --
-- Successor Intel Xeon E5-2650 v3

CPU Cores and Base Frequency

The Google Tensor G3 is a 8 core processor with a clock frequency of 2.91 GHz. The Intel Xeon E5-2650 v2 has 8 CPU cores with a clock frequency of 2.60 GHz (3.40 GHz).

Google Tensor G3 Characteristic Intel Xeon E5-2650 v2
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 2.60 GHz (3.40 GHz)
2.37 GHz
4x Cortex-A715
B-Core --
1.70 GHz
4x Cortex-A510
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 G3 Characteristic Intel Xeon E5-2650 v2
Google Tensor AI AI hardware --
Google Edge TPU AI specifications --

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.

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 Intel Xeon E5-2650 v2 can connect up to 768 GB of memory in 4 memory channels.

Google Tensor G3 Characteristic Intel Xeon E5-2650 v2
LPDDR5-5500 Memory DDR3-1600
12 GB Max. Memory 768 GB
2 (Dual Channel) Memory channels 4 (Quad Channel)
53.0 GB/s Max. Bandwidth 51.2 GB/s
No ECC Yes
-- L2 Cache --
-- L3 Cache 20.00 MB
-- PCIe version 3.0
-- PCIe lanes 40
-- PCIe Bandwidth 39.4 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 Intel Xeon E5-2650 v2 is 95 W.

Google Tensor G3 Characteristic Intel Xeon E5-2650 v2
10 W TDP (PL1 / PBP) 95 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Google Tensor G3 has a 0.00 MB cache, while the Intel Xeon E5-2650 v2 cache has a total of 20.00 MB.

Google Tensor G3 Characteristic Intel Xeon E5-2650 v2
4 nm Technology 22 nm
Chiplet Chip design Monolithic
Armv9-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
Q3/2023 Release date Q3/2013
-- Release price 900 $
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 3.6 stars (28 ratings). Rate now:
Here you can rate the Intel Xeon E5-2650 v2 to help other visitors make their purchasing decisions. The average rating is 5.0 stars (3 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor G3 (100%)
Intel Xeon E5-2650 v2 (43%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor G3 (87%)
Intel Xeon E5-2650 v2 (92%)

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%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.40 GHz
622 (49%)

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 (74%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
4893 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
1759 (100%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.40 GHz
632 (36%)

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%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
3808 (84%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.40 GHz
249 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
2166 (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 G3 Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz
1 (100%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
@ 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%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 2.60 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%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 2.60 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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
13236 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
312 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 2.60 GHz
3008 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.40 GHz
128 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Xeon E5-2650 v2 Intel Xeon E5-2650 v2
8C 16T @ 3.00 GHz
966 (100%)

Devices using this processor

Google Tensor G3 Intel Xeon E5-2650 v2
Google Pixel 8
Google Pixel 8 Pro
Unknown

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