Google Tensor G2 | Intel Xeon E-2388G | |
CPU comparisonGoogle Tensor G2 or Intel Xeon E-2388G - 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 G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G2 was released in Q4/2022. The Intel Xeon E-2388G has 8 cores with 16 threads and clocks with a maximum frequency of 5.10 GHz. The CPU supports up to 128 GB of memory in 2 memory channels. The Intel Xeon E-2388G was released in Q3/2021. |
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Google Tensor (3) | Family | Intel Xeon E (44) |
Google Tensor G2 (1) | CPU group | Intel Xeon E-2300 (10) |
2 | Generation | 3 |
G2 | Architecture | Rocket Lake S |
Mobile | Segment | Desktop / Server |
Google Tensor | Predecessor | Intel Xeon E-2288G |
-- | Successor | -- |
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CPU Cores and Base FrequencyThe Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor G2 is 2.85 GHz while the Intel Xeon E-2388G has 8 CPU cores and 16 threads can calculate simultaneously. The clock frequency of the Intel Xeon E-2388G is at 3.20 GHz (5.10 GHz). |
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Google Tensor G2 | Characteristic | Intel Xeon E-2388G |
8 | Cores | 8 |
8 | Threads | 16 |
hybrid (Prime / big.LITTLE) | Core architecture | normal |
No | Hyperthreading | Yes |
No | Overclocking ? | No |
2.85 GHz 2x Cortex-X1 |
A-Core | 3.20 GHz (5.10 GHz) |
2.35 GHz 2x Cortex-A78 |
B-Core | -- |
1.80 GHz 4x Cortex-A55 |
C-Core | -- |
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. |
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Google Tensor G2 | Characteristic | Intel Xeon E-2388G |
Google Tensor AI | AI hardware | -- |
Google Edge TPU @ 4 TOPS | AI specifications | -- |
Internal GraphicsThe Google Tensor G2 or Intel Xeon E-2388G 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. |
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ARM Mali-G710 MP7 | GPU | Intel UHD Graphics P750 |
0.90 GHz | GPU frequency | 0.35 GHz |
-- | GPU (Turbo) | 1.30 GHz |
Vallhall 3 | GPU Generation | 12 |
4 nm | Technology | 14 nm |
1 | Max. displays | 3 |
7 | Compute units | 64 |
-- | Shader | 256 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | 32 GB |
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. |
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ARM Mali-G710 MP7 | GPU | Intel UHD Graphics P750 |
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 |
Decode | Codec AV1 | Decode |
Decode / Encode | Codec AVC | Decode / Encode |
Decode / Encode | Codec VC-1 | Decode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Google Tensor G2 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Intel Xeon E-2388G supports up to 128 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 51.2 GB/s. |
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Google Tensor G2 | Characteristic | Intel Xeon E-2388G |
LPDDR5-5500 | Memory | DDR4-3200 |
12 GB | Max. Memory | 128 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
53.0 GB/s | Max. Bandwidth | 51.2 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | 4.00 MB |
4.00 MB | L3 Cache | 16.00 MB |
-- | PCIe version | 4.0 |
-- | PCIe lanes | 20 |
-- | PCIe Bandwidth | 39.4 GB/s |
Thermal ManagementThe thermal design power (TDP for short) of the Google Tensor G2 is 10 W, while the Intel Xeon E-2388G has a TDP of 95 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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Google Tensor G2 | Characteristic | Intel Xeon E-2388G |
10 W | TDP (PL1 / PBP) | 95 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | 100 °C |
Technical detailsThe Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The Intel Xeon E-2388G is manufactured in 14 nm and has a 20.00 MB cache. |
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Google Tensor G2 | Characteristic | Intel Xeon E-2388G |
4 nm | Technology | 14 nm |
Chiplet | Chip design | Monolithic |
Armv8-A (64 bit) | Instruction set (ISA) | x86-64 (64 bit) |
-- | ISA extensions | SSE4.1, SSE4.2, AVX2, AVX-512 |
-- | Socket | LGA 1200 |
None | Virtualization | VT-x, VT-x EPT, VT-d |
No | AES-NI | Yes |
Android | Operating systems | Windows 10, Linux |
Q4/2022 | Release date | Q3/2021 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 5.10 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 3.20 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 5.10 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 3.20 GHz |
Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
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Intel Xeon E-2388G
Intel UHD Graphics P750 @ 1.30 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 3.20 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Xeon E-2388G
8C 16T @ 3.20 GHz |
Devices using this processor |
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Google Tensor G2 | Intel Xeon E-2388G |
Google Pixel 7 Google Pixel 7 Pro |
Unknown |