Intel Core i9-14900KS vs Google Tensor G2

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CPU comparison with benchmarks


Intel Core i9-14900KS CPU1 vs CPU2 Google Tensor G2
Intel Core i9-14900KS Google Tensor G2

CPU comparison

Intel Core i9-14900KS 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 Core i9-14900KS has 24 cores with 32 threads and clocks with a maximum frequency of 6.20 GHz. Up to 192 GB of memory is supported in 2 memory channels. The Intel Core i9-14900KS was released in Q1/2024.

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 Core i9 (78) Family Google Tensor (3)
Intel Core i 14000 (23) CPU group Google Tensor G2 (1)
14 Generation 2
Raptor Lake S Refresh Architecture G2
Desktop / Server Segment Mobile
Intel Core i9-13900KS Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The Intel Core i9-14900KS has 24 CPU cores and can calculate 32 threads in parallel. The clock frequency of the Intel Core i9-14900KS is 3.20 GHz (6.20 GHz) while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz.

Intel Core i9-14900KS Characteristic Google Tensor G2
24 Cores 8
32 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
Yes Hyperthreading No
Yes Overclocking ? No
3.20 GHz (6.20 GHz)
8x Raptor Cove
A-Core 2.85 GHz
2x Cortex-X1
2.40 GHz (4.50 GHz)
16x Gracemont
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 Core i9-14900KS Characteristic Google Tensor G2
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 4 TOPS

Internal Graphics

The Intel Core i9-14900KS or Google Tensor G2 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.

Intel UHD Graphics 770 GPU ARM Mali-G710 MP7
0.30 GHz GPU frequency 0.90 GHz
1.65 GHz GPU (Turbo) --
11 GPU Generation Vallhall 3
10 nm Technology 4 nm
3 Max. displays 1
32 Compute units 7
256 Shader --
No Hardware Raytracing No
No Frame Generation No
64 GB Max. GPU Memory --
12 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.

Intel UHD Graphics 770 GPU ARM Mali-G710 MP7
Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 Decode / Encode
Decode / Encode Codec VP8 Decode / Encode
Decode Codec AV1 Decode
Decode / Encode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Intel Core i9-14900KS can use up to 192 GB of memory in 2 memory channels. The maximum memory bandwidth is 89.6 GB/s. The Google Tensor G2 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s.

Intel Core i9-14900KS Characteristic Google Tensor G2
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
32.00 MB L2 Cache 8.00 MB
36.00 MB L3 Cache 4.00 MB
5.0 PCIe version --
20 PCIe lanes --
78.8 GB/s PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Intel Core i9-14900KS is 150 W, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Intel Core i9-14900KS Characteristic Google Tensor G2
150 W TDP (PL1 / PBP) 10 W
253 W TDP (PL2) --
320 W TDP up --
-- TDP down --
100 °C Tjunction max. --

Technical details

The Intel Core i9-14900KS is manufactured in 10 nm and has 68.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache.

Intel Core i9-14900KS Characteristic Google Tensor G2
10 nm Technology 4 nm
Monolithic Chip design Chiplet
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
Q1/2024 Release date Q4/2022
699 $ Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Core i9-14900KS to help other visitors make their purchasing decisions. The average rating is 4.3 stars (46 ratings). Rate now:
Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.0 stars (23 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Intel Core i9-14900KS (100%)
Google Tensor G2 (43%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Core i9-14900KS (100%)
Google Tensor G2 (13%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
2484 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (43%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 5.90 GHz
28051 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (11%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
3341 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (43%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 5.90 GHz
23839 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (14%)

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 i9-14900KS Intel Core i9-14900KS
Intel UHD Graphics 770 @ 1.65 GHz
846 (100%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (83%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
143 (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 Core i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
2252 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
2398 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 5.90 GHz
40976 (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 Core i9-14900KS Intel Core i9-14900KS
24C 32T @ 6.20 GHz
909 (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 Core i9-14900KS Intel Core i9-14900KS
24C 32T @ 5.90 GHz
15599 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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.
Intel Core i9-14900KS Intel Core i9-14900KS
24C 32T @ 3.20 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)

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 i9-14900KS Intel Core i9-14900KS
24C 32T @ 5.90 GHz
64470 (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 Core i9-14900KS Intel Core i9-14900KS
24C 32T @ 3.20 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)

Devices using this processor

Intel Core i9-14900KS Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

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