MediaTek Kompanio 520 (MT8186) | Google Tensor | |
CPU comparisonMediaTek Kompanio 520 (MT8186) 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 MediaTek Kompanio 520 (MT8186) has 8 cores with 8 threads and clocks with a maximum frequency of 2.05 GHz. Up to 8 GB of memory is supported in 4 memory channels. The MediaTek Kompanio 520 (MT8186) 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. |
||
Mediatek Kompanio (9) | Family | Google Tensor (3) |
MediaTek Kompanio 52x/800 (4) | CPU group | Google Tensor (1) |
2 | Generation | 1 |
Cortex-A76 / Cortex-A55 | Architecture | G1 |
Mobile | Segment | Mobile |
-- | Predecessor | -- |
-- | Successor | Google Tensor G2 |
|
||
CPU Cores and Base FrequencyThe MediaTek Kompanio 520 (MT8186) has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the MediaTek Kompanio 520 (MT8186) is 0.77 GHz (2.05 GHz) while the Google Tensor has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor is at 2.80 GHz. |
||
MediaTek Kompanio 520 (MT8186) | Characteristic | Google Tensor |
8 | Cores | 8 |
8 | Threads | 8 |
hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
0.77 GHz (2.05 GHz) 2x Cortex-A76 |
A-Core | 2.80 GHz 2x Cortex-X1 |
0.50 GHz (2.00 GHz) 6x Cortex-A55 |
B-Core | 2.25 GHz 2x Cortex-A76 |
-- | C-Core | 1.80 GHz 4x Cortex-A55 |
Artificial Intelligence and Machine LearningProcessors 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. |
||
MediaTek Kompanio 520 (MT8186) | Characteristic | Google Tensor |
-- | AI hardware | Google Tensor AI |
-- | AI specifications | Google Edge TPU @ 1.6 TOPS |
Internal GraphicsThe MediaTek Kompanio 520 (MT8186) or Google Tensor 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-G52 MP2 | GPU | ARM Mali-G78 MP20 |
0.01 GHz | GPU frequency | 0.76 GHz |
-- | GPU (Turbo) | -- |
Bifrost 2 | GPU Generation | Vallhall 2 |
16 nm | Technology | 5 nm |
2 | Max. displays | 1 |
2 | Compute units | 20 |
32 | Shader | 320 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | -- |
12 | DirectX Version | 12 |
Hardware codec supportA 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-G52 MP2 | GPU | ARM Mali-G78 MP20 |
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 |
No | Codec AV1 | Decode |
Decode / Encode | Codec AVC | Decode / Encode |
Decode / Encode | Codec VC-1 | Decode / Encode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe MediaTek Kompanio 520 (MT8186) can use up to 8 GB of memory in 4 memory channels. The maximum memory bandwidth is 14.9 GB/s. The Google Tensor supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s. |
||
MediaTek Kompanio 520 (MT8186) | Characteristic | Google Tensor |
LPDDR4X-3733 | Memory | LPDDR5-5500 |
8 GB | Max. Memory | 12 GB |
4 (Quad Channel) | Memory channels | 2 (Dual Channel) |
14.9 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
-- | L2 Cache | 8.00 MB |
-- | L3 Cache | -- |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the MediaTek Kompanio 520 (MT8186) is --, while the Google Tensor has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
||
MediaTek Kompanio 520 (MT8186) | Characteristic | Google Tensor |
-- | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe MediaTek Kompanio 520 (MT8186) is manufactured in 7 nm and has 0.00 MB cache. The Google Tensor is manufactured in 5 nm and has a 8.00 MB cache. |
||
MediaTek Kompanio 520 (MT8186) | Characteristic | Google Tensor |
7 nm | Technology | 5 nm |
Chiplet | Chip design | Unknown |
Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
Android | Operating systems | Android |
Q4/2022 | Release date | Q4/2021 |
-- | Release price | -- |
show more data | show more data | |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 2.05 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 2.05 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 2.05 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 2.05 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
ARM Mali-G52 MP2 @ 0.01 GHz |
|||
Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 0.77 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 0.77 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
MediaTek Kompanio 520 (MT8186)
8C 8T @ 0.77 GHz |
|||
Google Tensor
8C 8T @ 2.80 GHz |
Devices using this processor |
|
MediaTek Kompanio 520 (MT8186) | Google Tensor |
Lenovo Chromebook IdeaPad Slim 3 | Google Pixel 6 Google Pixel 6 Pro |