Intel Core i7-13700KF vs Google Tensor

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CPU comparison with benchmarks


Intel Core i7-13700KF CPU1 vs CPU2 Google Tensor
Intel Core i7-13700KF Google Tensor

CPU comparison

Intel Core i7-13700KF or Google Tensor - 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 Core i7-13700KF has 16 cores with 24 threads and clocks with a maximum frequency of 5.40 GHz. Up to 192 GB of memory is supported in 2 memory channels. The Intel Core i7-13700KF was released in Q4/2022.

The Google Tensor has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor was released in Q4/2021.
Intel Core i7 (298) Family Google Tensor (3)
Intel Core i 13000 (17) CPU group Google Tensor (1)
13 Generation 1
Raptor Lake S Architecture G1
Desktop / Server Segment Mobile
Intel Core i7-12700KF Predecessor --
Intel Core i7-14700KF Successor Google Tensor G2

CPU Cores and Base Frequency

The Intel Core i7-13700KF is a 16 core processor with a clock frequency of 3.40 GHz (5.40 GHz). The Google Tensor has 8 CPU cores with a clock frequency of 2.80 GHz.

Intel Core i7-13700KF Characteristic Google Tensor
16 Cores 8
24 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
Yes Hyperthreading No
Yes Overclocking ? No
3.40 GHz (5.40 GHz)
8x Raptor Cove
A-Core 2.80 GHz
2x Cortex-X1
2.50 GHz (4.20 GHz)
8x Gracemont
B-Core 2.25 GHz
2x Cortex-A76
-- C-Core 1.80 GHz
4x Cortex-A55

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.

Intel Core i7-13700KF Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 TOPS
-- 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.

no iGPU GPU ARM Mali-G78 MP20
GPU frequency 0.76 GHz
-- GPU (Turbo) --
-- GPU Generation Vallhall 2
Technology 5 nm
Max. displays 1
-- Compute units 20
-- Shader 320
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-G78 MP20
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 Core i7-13700KF supports a maximum of 192 GB of memory in 2 memory channels. The Google Tensor can connect up to 12 GB of memory in 2 memory channels.

Intel Core i7-13700KF Characteristic Google Tensor
DDR5-5600, DDR4-3200 Memory LPDDR5-5500
192 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
89.6 GB/s Max. Bandwidth 53.0 GB/s
Yes ECC No
24.00 MB L2 Cache 8.00 MB
30.00 MB L3 Cache --
5.0 PCIe version --
20 PCIe lanes --
78.8 GB/s PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Intel Core i7-13700KF has a TDP of 125 W, that of the Google Tensor is 10 W.

Intel Core i7-13700KF Characteristic Google Tensor
125 W TDP (PL1 / PBP) 10 W
253 W TDP (PL2) --
-- TDP up --
-- TDP down --
100 °C Tjunction max. --

Technical details

The Intel Core i7-13700KF has a 54.00 MB cache, while the Google Tensor cache has a total of 8.00 MB.

Intel Core i7-13700KF Characteristic Google Tensor
10 nm Technology 5 nm
Monolithic Chip design Unknown
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2, AVX2, AVX2+ ISA extensions --
LGA 1700 Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Windows 10, Windows 11, Linux Operating systems Android
Q4/2022 Release date Q4/2021
384 $ Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Core i7-13700KF to help other visitors make their purchasing decisions. The average rating is 4.4 stars (17 ratings). Rate now:
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:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Intel Core i7-13700KF (100%)
Google Tensor (53%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Core i7-13700KF (100%)
Google Tensor (19%)

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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
2065 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1043 (51%)

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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
18402 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (16%)

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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
2787 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1494 (54%)

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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
17208 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (21%)

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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
126 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
1602 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
2126 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
31062 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
815 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
11831 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
@ 0.00 GHz
0 (0%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 3.40 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
691770 (100%)

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.
Intel Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 3.40 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
430 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
47002 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.40 GHz
310 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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 Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 5.30 GHz
4639 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

CPU performance per watt (efficiency)

Efficiency of the processor under full load in the Cinebench R23 (multi-core) benchmark. The benchmark result is divided by the average energy required (CPU package power in watts). The higher the value, the more efficient the CPU is under full load.
Intel Core i7-13700KF Intel Core i7-13700KF
31,062 CB R23 MC @ 220 W
141 (100%)
Google Tensor Google Tensor
2.80 GHz
0 (0%)

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).
Intel Core i7-13700KF Intel Core i7-13700KF
16C 24T @ 3.40 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Intel Core i7-13700KF Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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