Intel Processor 300 vs Google Tensor G3
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CPU comparison with benchmarks
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| Intel Processor 300 | Google Tensor G3 | |
CPU comparisonIntel Processor 300 or Google Tensor G3 - 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 Processor 300 has 2 cores with 4 threads and clocks with a maximum frequency of 3.90 GHz. Up to 192 GB of memory is supported in 2 memory channels. The Intel Processor 300 was released in Q1/2024. The Google Tensor G3 has 8 cores with 8 threads and clocks with a maximum frequency of 2.91 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G3 was released in Q3/2023. |
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| Intel Processor U (4) | Family | Google Tensor (3) |
| Intel Core i 1400P/1400U (2) | CPU group | Google Tensor G3 (1) |
| 14 | Generation | 3 |
| Raptor Lake U Refresh | Architecture | G3 |
| Mobile | Segment | Mobile |
| -- | Predecessor | Google Tensor |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Intel Processor 300 has 2 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Intel Processor 300 is 3.90 GHz while the Google Tensor G3 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G3 is at 2.91 GHz. |
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| Intel Processor 300 | Characteristic | Google Tensor G3 |
| 2 | Cores | 8 |
| 4 | Threads | 8 |
| normal | Core architecture | hybrid (Prime / big.LITTLE) |
| Yes | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.90 GHz 2x Raptor Cove |
A-Core | 2.91 GHz 1x Cortex-X3 |
| -- | B-Core | 2.37 GHz 4x Cortex-A715 |
| -- | C-Core | 1.70 GHz 4x Cortex-A510 |
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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| Intel Processor 300 | Characteristic | Google Tensor G3 |
| -- | AI hardware | Google Tensor AI |
| -- | AI specifications | Google Edge TPU |
Internal GraphicsThe Intel Processor 300 or Google Tensor G3 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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| Intel UHD Graphics 710 | GPU | ARM Immortalis-G715 MP10 |
| 0.30 GHz | GPU frequency | 0.89 GHz |
| 1.45 GHz | GPU (Turbo) | -- |
| 13 | GPU Generation | Vallhall |
| 14 nm | Technology | 4 nm |
| 3 | Max. displays | 0 |
| 16 | Compute units | 10 |
| 128 | Shader | -- |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 32 GB | 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. |
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| Intel UHD Graphics 710 | GPU | ARM Immortalis-G715 MP10 |
| 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 / Encode |
| Decode / Encode | Codec AVC | Decode / Encode |
| Decode | Codec VC-1 | Decode / Encode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Intel Processor 300 can use up to 192 GB of memory in 2 memory channels. The maximum memory bandwidth is 76.8 GB/s. The Google Tensor G3 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s. |
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| Intel Processor 300 | Characteristic | Google Tensor G3 |
| DDR5-4800, DDR4-3200 | Memory | LPDDR5-5500 |
| 192 GB | Max. Memory | 12 GB |
| 2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
| 76.8 GB/s | Max. Bandwidth | 53.0 GB/s |
| No | ECC | No |
| 2.50 MB | L2 Cache | -- |
| 6.00 MB | L3 Cache | -- |
| 4.0 | PCIe version | -- |
| 20 | PCIe lanes | -- |
| 39.4 GB/s | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Intel Processor 300 is 46 W, while the Google Tensor G3 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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| Intel Processor 300 | Characteristic | Google Tensor G3 |
| 46 W | TDP (PL1 / PBP) | 10 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| 100 °C | Tjunction max. | -- |
Technical detailsThe Intel Processor 300 is manufactured in 10 nm and has 8.50 MB cache. The Google Tensor G3 is manufactured in 4 nm and has a 0.00 MB cache. |
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| Intel Processor 300 | Characteristic | Google Tensor G3 |
| 10 nm | Technology | 4 nm |
| Monolithic | Chip design | Chiplet |
| x86-64 (64 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
| SSE4.1, SSE4.2, 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 | Q3/2023 |
| 82 $ | Release price | -- |
| show more data | show more data | |
2C 4T @ 3.90 GHz buy now on Amazon and save!
8C 8T @ 2.91 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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Intel Processor 300
Intel UHD Graphics 710 @ 1.45 GHz |
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Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 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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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 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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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 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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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 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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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
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AnTuTu 10 Benchmark
The AnTuTu 10 benchmark is one of the best-known benchmarks for mobile processors, which is now available in version 10. There is a version for Android-based smartphones and tablets, as well as a version for Apple mobile devices, i.e. iPhones and iPads.
The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.
Antutu 10 is therefore ideal for comparing the performance of different devices.
The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.
Antutu 10 is therefore ideal for comparing the performance of different devices.
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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 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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Intel Processor 300
2C 4T @ 3.90 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
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Devices using this processor |
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| Intel Processor 300 | Google Tensor G3 |
| Unknown | Google Pixel 8 Google Pixel 8 Pro |
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