Google Tensor vs Intel Pentium J4205

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CPU comparison with benchmarks


Google Tensor CPU1 vs CPU2 Intel Pentium J4205
Google Tensor Intel Pentium J4205

CPU comparison

Google Tensor or Intel Pentium J4205 - 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 Pentium J4205 has 4 cores with 4 threads and clocks with a maximum frequency of 2.60 GHz. The CPU supports up to 8 GB of memory in 2 memory channels. The Intel Pentium J4205 was released in Q3/2016.
Google Tensor (3) Family Intel Pentium (150)
Google Tensor (1) CPU group Intel Pentium J4000/N4000 (2)
1 Generation 8
G1 Architecture Apollo Lake
Mobile Segment Mobile
-- Predecessor --
Google Tensor G2 Successor --

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 Pentium J4205 has 4 CPU cores and 4 threads can calculate simultaneously. The clock frequency of the Intel Pentium J4205 is at 1.50 GHz (2.60 GHz).

Google Tensor Characteristic Intel Pentium J4205
8 Cores 4
8 Threads 4
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading No
No Overclocking ? No
2.80 GHz
2x Cortex-X1
A-Core 1.50 GHz (2.60 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 Pentium J4205
Google Tensor AI AI hardware --
Google Edge TPU @ 1.6 TOPS AI specifications --
-- NPU + CPU + iGPU --

Integrated graphics (iGPU)

The Google Tensor or Intel Pentium J4205 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 Intel HD Graphics 505
0.76 GHz GPU frequency 0.25 GHz
-- GPU (Turbo) 0.80 GHz
Vallhall 2 GPU Generation 9
5 nm Technology 14 nm
1 Max. displays 3
20 Compute units 18
320 Shader 144
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory 8 GB
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.

ARM Mali-G78 MP20 GPU Intel HD Graphics 505
Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 Decode
Decode / Encode Codec VP8 Decode / Encode
Decode Codec AV1 No
Decode / Encode Codec AVC Decode / Encode
Decode / Encode Codec VC-1 Decode
Decode / Encode Codec JPEG Decode / Encode

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 Pentium J4205 supports up to 8 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 38.4 GB/s.

Google Tensor Characteristic Intel Pentium J4205
LPDDR5-5500 Memory LPDDR3-1866, DDR4-2400, DDR3-1866
12 GB Max. Memory 8 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
53.0 GB/s Max. Bandwidth 38.4 GB/s
No ECC No
8.00 MB L2 Cache --
-- L3 Cache 2.00 MB
-- PCIe version 2.0
-- PCIe lanes 6
-- PCIe Bandwidth 3.0 GB/s

Thermal Management

The thermal design power (TDP for short) of the Google Tensor is 10 W, while the Intel Pentium J4205 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor Characteristic Intel Pentium J4205
10 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. 105 °C

Technical details

The Google Tensor is manufactured in 5 nm and has 8.00 MB cache. The Intel Pentium J4205 is manufactured in 14 nm and has a 2.00 MB cache.

Google Tensor Characteristic Intel Pentium J4205
5 nm Technology 14 nm
Unknown Chip design Monolithic
Armv8-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4.1, SSE4.2
-- Socket BGA 1296
None Virtualization VT-x, VT-x EPT, VT-d
No AES-NI Yes
Android Operating systems Windows 10, Windows 11, Linux
Q4/2021 Release date Q3/2016
-- Release price 161 $
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 Pentium J4205 to help other visitors make their purchasing decisions. The average rating is 4.5 stars (2 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor (100%)
Intel Pentium J4205 (29%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor (100%)
Intel Pentium J4205 (33%)

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 Pentium J4205 Intel Pentium J4205
4C 4T @ 2.60 GHz
360 (35%)

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 (100%)
Intel Pentium J4205 Intel Pentium J4205
4C 4T @ 2.40 GHz
1255 (43%)

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 Pentium J4205 Intel Pentium J4205
4C 4T @ 2.60 GHz
338 (23%)

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 (100%)
Intel Pentium J4205 Intel Pentium J4205
4C 4T @ 2.40 GHz
848 (23%)

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 Pentium J4205 Intel Pentium J4205
Intel HD Graphics 505 @ 0.80 GHz
230 (12%)

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 Pentium J4205 Intel Pentium J4205
4C 4T @ 1.50 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 Pentium J4205 Intel Pentium J4205
4C 4T @ 1.50 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 Pentium J4205 Intel Pentium J4205
4C 4T @ 2.40 GHz
2425 (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 Pentium J4205 Intel Pentium J4205
4C 4T @ 2.60 GHz
52 (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 Pentium J4205 Intel Pentium J4205
4C 4T @ 2.40 GHz
196 (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 Pentium J4205 Intel Pentium J4205
4C 4T @ 1.50 GHz
0 (0%)

Devices using this processor

Google Tensor Intel Pentium J4205
Google Pixel 6
Google Pixel 6 Pro
Unknown

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