Intel Celeron E3300 vs Qualcomm Snapdragon 768G
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CPU comparison with benchmarks
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| Intel Celeron E3300 | Qualcomm Snapdragon 768G | |
CPU comparisonIn this CPU comparison, we compare the Intel Celeron E3300 and the Qualcomm Snapdragon 768G and use benchmarks to check which processor is faster.
We compare the Intel Celeron E3300 2 core processor released in Q3/2009 with the Qualcomm Snapdragon 768G which has 8 CPU cores and was introduced in Q3/2020. |
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| Intel Celeron (165) | Family | Qualcomm Snapdragon (102) |
| Intel Celeron E3000 (3) | CPU group | Qualcomm Snapdragon 760 (3) |
| 1 | Generation | 3 |
| Wolfdale (Penryn) | Architecture | Kryo 475 |
| Desktop / Server | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Intel Celeron E3300 is a 2 core processor with a clock frequency of 2.50 GHz. The processor can compute 2 threads at the same time. The Qualcomm Snapdragon 768G clocks with 2.80 GHz, has 8 CPU cores and can calculate 8 threads in parallel. |
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| Intel Celeron E3300 | Characteristic | Qualcomm Snapdragon 768G |
| 2 | Cores | 8 |
| 2 | Threads | 8 |
| normal | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| Yes | Overclocking ? | No |
| 2.50 GHz 2x Core |
A-Core | 2.80 GHz 1x Kryo 475 Prime |
| -- | B-Core | 2.40 GHz 1x Kryo 475 Gold |
| -- | C-Core | 1.80 GHz 6x Kryo 475 Silver |
NPU AI performanceThe 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. |
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| Intel Celeron E3300 | Characteristic | Qualcomm Snapdragon 768G |
| -- | AI hardware | Qualcomm AI engine |
| -- | AI specifications | Hexagon 696 @ 5.5 TOPS |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)Graphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback. |
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| no iGPU | GPU | Qualcomm Adreno 620 |
| GPU frequency | 0.80 GHz | |
| -- | GPU (Turbo) | -- |
| -- | GPU Generation | 6 |
| Technology | 7 nm | |
| Max. displays | 2 | |
| -- | Compute units | -- |
| -- | Shader | 192 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| -- | DirectX Version | 12.1 |
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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| no iGPU | GPU | Qualcomm Adreno 620 |
| No | Codec h265 / HEVC (8 bit) | Decode |
| No | Codec h265 / HEVC (10 bit) | Decode |
| No | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode |
| No | Codec VP8 | Decode |
| No | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeUp to 16 GB of memory in a maximum of 2 memory channels is supported by the Intel Celeron E3300, while the Qualcomm Snapdragon 768G supports a maximum of 12 GB of memory with a maximum memory bandwidth of 17.1 GB/s enabled. |
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| Intel Celeron E3300 | Characteristic | Qualcomm Snapdragon 768G |
| DDR3-1066, DDR2-800 | Memory | LPDDR4-3733 |
| 16 GB | Max. Memory | 12 GB |
| 2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
| 17.1 GB/s | Max. Bandwidth | 17.1 GB/s |
| No | ECC | No |
| 1.00 MB | L2 Cache | -- |
| -- | L3 Cache | 2.00 MB |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe Intel Celeron E3300 has a TDP of 65 W. The TDP of the Qualcomm Snapdragon 768G is 5 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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| Intel Celeron E3300 | Characteristic | Qualcomm Snapdragon 768G |
| 65 W | TDP (PL1 / PBP) | 5 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Intel Celeron E3300 has 1.00 MB cache and is manufactured in 45 nm. The cache of Qualcomm Snapdragon 768G is at 2.00 MB. The processor is manufactured in 7 nm. |
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| Intel Celeron E3300 | Characteristic | Qualcomm Snapdragon 768G |
| 45 nm | Technology | 7 nm |
| Monolithic | Chip design | Chiplet |
| x86-64 (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| MMX, SSE, SSE2, SSE3 | ISA extensions | -- |
| LGA 775 | Socket | -- |
| VT-x | Virtualization | None |
| No | AES-NI | No |
| Windows 10, Linux | Operating systems | Android |
| Q3/2009 | Release date | Q3/2020 |
| 47 $ | Release price | -- |
| show more data | show more data | |
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2C 2T @ 2.50 GHz buy now on Amazon and save!
8C 8T @ 2.80 GHz buy now on Amazon and save!
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 1 CPU benchmarks
⌀ Multi core performance in 1 CPU benchmarks
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 Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 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 Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
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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 Celeron E3300
@ 0.00 GHz |
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Qualcomm Snapdragon 768G
Qualcomm Adreno 620 @ 0.80 GHz |
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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.
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.
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Intel Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
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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.
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Intel Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
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CPU-Z Benchmark 17 (Multi-Core)
The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
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Intel Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
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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).
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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Intel Celeron E3300
2C 2T @ 2.50 GHz |
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Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
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Devices using this processor |
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| Intel Celeron E3300 | Qualcomm Snapdragon 768G |
| Unknown | Unknown |
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