Google Tensor G2 vs Intel Core Ultra 5 125U
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CPU comparison with benchmarks
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| Google Tensor G2 | Intel Core Ultra 5 125U | |
CPU comparisonGoogle Tensor G2 or Intel Core Ultra 5 125U - 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 Core Ultra 5 125U has 12 cores with 14 threads and clocks with a maximum frequency of 4.30 GHz. The CPU supports up to 96 GB of memory in 2 memory channels. The Intel Core Ultra 5 125U was released in Q4/2023. |
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| Google Tensor (3) | Family | Intel Core Ultra 5 (10) |
| Google Tensor G2 (1) | CPU group | Intel Core Ultra 100U (7) |
| 2 | Generation | 1 |
| G2 | Architecture | Meteor Lake U |
| Mobile | Segment | Mobile |
| Google Tensor | Predecessor | -- |
| -- | 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 Core Ultra 5 125U has 12 CPU cores and 14 threads can calculate simultaneously. The clock frequency of the Intel Core Ultra 5 125U is at 1.30 GHz (4.30 GHz). |
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| Google Tensor G2 | Characteristic | Intel Core Ultra 5 125U |
| 8 | Cores | 12 |
| 8 | Threads | 14 |
| hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | Yes |
| No | Overclocking ? | No |
| 2.85 GHz 2x Cortex-X1 |
A-Core | 1.30 GHz (4.30 GHz) 2x Redwood Cove |
| 2.35 GHz 2x Cortex-A78 |
B-Core | 0.80 GHz (3.60 GHz) 8x Crestmont |
| 1.80 GHz 4x Cortex-A55 |
C-Core | 0.70 GHz (2.10 GHz) 2x Crestmont |
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 Core Ultra 5 125U |
| Google Tensor AI | AI hardware | Intel AI engine |
| Google Edge TPU @ 4 TOPS | AI specifications | Intel AI Boost @ 1.4 GHz (OpenVINO, WindowsML, DirectML, ONNX RT) |
Internal GraphicsThe Google Tensor G2 or Intel Core Ultra 5 125U 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 Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) |
| 0.90 GHz | GPU frequency | 0.60 GHz |
| -- | GPU (Turbo) | 1.85 GHz |
| Vallhall 3 | GPU Generation | -- |
| 4 nm | Technology | 5 nm |
| 1 | Max. displays | 4 |
| 7 | Compute units | 64 |
| -- | Shader | 512 |
| No | Hardware Raytracing | Yes |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 32 GB |
| 12 | DirectX Version | 12.2 |
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 Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) |
| 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 |
| Decode / Encode | Codec VP8 | Decode |
| Decode | Codec AV1 | Decode / Encode |
| 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 Core Ultra 5 125U supports up to 96 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 120.0 GB/s. |
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| Google Tensor G2 | Characteristic | Intel Core Ultra 5 125U |
| LPDDR5-5500 | Memory | LPDDR5X-7500, DDR5-5600 |
| 12 GB | Max. Memory | 96 GB |
| 2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
| 53.0 GB/s | Max. Bandwidth | 120.0 GB/s |
| No | ECC | No |
| 8.00 MB | L2 Cache | 12.00 MB |
| 4.00 MB | L3 Cache | -- |
| -- | 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 Core Ultra 5 125U has a TDP of 15 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 Core Ultra 5 125U |
| 10 W | TDP (PL1 / PBP) | 15 W |
| -- | TDP (PL2) | 57 W |
| -- | TDP up | 28 W |
| -- | TDP down | 12 W |
| -- | Tjunction max. | 110 °C |
Technical detailsThe Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The Intel Core Ultra 5 125U is manufactured in 7 nm and has a 12.00 MB cache. |
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| Google Tensor G2 | Characteristic | Intel Core Ultra 5 125U |
| 4 nm | Technology | 7 nm |
| Chiplet | Chip design | Chiplet |
| Armv8-A (64 bit) | Instruction set (ISA) | x86-64 (64 bit) |
| -- | ISA extensions | SSE4.1, SSE4.2, AVX2 |
| -- | Socket | BGA 2049 |
| None | Virtualization | VT-x, VT-x EPT, VT-d |
| No | AES-NI | Yes |
| Android | Operating systems | Windows 11, Linux |
| Q4/2022 | Release date | Q4/2023 |
| -- | Release price | -- |
| show more data | show more data | |
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8C 8T @ 2.85 GHz buy now on Amazon and save!
12C 14T @ 1.30 GHz (4.30 GHz) buy now on Amazon and save!
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Rate these processors
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.
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
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Intel Core Ultra 5 125U
Intel Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) @ 1.85 GHz |
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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.
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 4.30 GHz |
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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.
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 1.30 GHz |
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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.
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 4.30 GHz |
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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.
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 1.30 GHz |
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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.
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.
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 1.30 GHz |
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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).
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Google Tensor G2
8C 8T @ 2.85 GHz |
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Intel Core Ultra 5 125U
12C 14T @ 1.30 GHz |
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Devices using this processor |
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| Google Tensor G2 | Intel Core Ultra 5 125U |
| Google Pixel 7 Google Pixel 7 Pro |
Unknown |
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