Qualcomm Snapdragon Microsoft SQ2 vs Raspberry Pi 5 B (Broadcom BCM2712)
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CPU comparison with benchmarks
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| Qualcomm Snapdragon Microsoft SQ2 | Raspberry Pi 5 B (Broadcom BCM2712) | |
CPU comparisonQualcomm Snapdragon Microsoft SQ2 or Raspberry Pi 5 B (Broadcom BCM2712) - 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 Qualcomm Snapdragon Microsoft SQ2 has 8 cores with 8 threads and clocks with a maximum frequency of 3.15 GHz. Up to 16 GB of memory is supported in 8 memory channels. The Qualcomm Snapdragon Microsoft SQ2 was released in Q3/2020. The Raspberry Pi 5 B (Broadcom BCM2712) has 4 cores with 4 threads and clocks with a maximum frequency of 2.40 GHz. The CPU supports up to 8 GB of memory in 1 memory channels. The Raspberry Pi 5 B (Broadcom BCM2712) was released in Q3/2023. |
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| Qualcomm Snapdragon (104) | Family | Broadcom BCM (3) |
| Qualcomm Snapdragon SQ1/SQ2 (2) | CPU group | Broadcom BCM2712 (1) |
| 1 | Generation | 5 |
| Kryo 495 | Architecture | Cortex-A76 |
| Mobile | Segment | Desktop / Server |
| -- | Predecessor | Raspberry Pi 4 B (Broadcom BCM2711) |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Qualcomm Snapdragon Microsoft SQ2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Qualcomm Snapdragon Microsoft SQ2 is 3.15 GHz while the Raspberry Pi 5 B (Broadcom BCM2712) has 4 CPU cores and 4 threads can calculate simultaneously. The clock frequency of the Raspberry Pi 5 B (Broadcom BCM2712) is at 1.00 GHz (2.40 GHz). |
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| Qualcomm Snapdragon Microsoft SQ2 | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| 8 | Cores | 4 |
| 8 | Threads | 4 |
| hybrid (big.LITTLE) | Core architecture | normal |
| No | Hyperthreading | No |
| No | Overclocking ? | Yes |
| 3.15 GHz 4x Kryo 495 Gold |
A-Core | 1.00 GHz (2.40 GHz) 4x Cortex-A76 |
| 2.42 GHz 4x Kryo 495 Silver |
B-Core | -- |
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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| Qualcomm Snapdragon Microsoft SQ2 | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| -- | AI hardware | Hailo-8L |
| -- | AI specifications | Expansion: AI-Kit Hailo-8L @ 13 TOPS (2.3 watts) |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Qualcomm Snapdragon Microsoft SQ2 or Raspberry Pi 5 B (Broadcom BCM2712) 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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| Qualcomm Adreno 690 | GPU | Broadcom VideoCore VII |
| GPU frequency | 0.80 GHz | |
| -- | GPU (Turbo) | -- |
| 6 | GPU Generation | -- |
| 7 nm | Technology | 16 nm |
| 0 | Max. displays | 2 |
| -- | Compute units | 8 |
| -- | Shader | 128 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| 12.0 | DirectX Version | -- |
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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| Qualcomm Adreno 690 | GPU | Broadcom VideoCore VII |
| Decode / Encode | Codec h265 / HEVC (8 bit) | Decode |
| Decode / Encode | Codec h265 / HEVC (10 bit) | Decode |
| Decode / Encode | Codec h264 | Decode / Encode |
| Decode | Codec VP9 | Decode |
| Decode / Encode | Codec VP8 | Decode |
| No | Codec AV1 | No |
| Decode | Codec AVC | Decode |
| Decode | Codec VC-1 | Decode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Qualcomm Snapdragon Microsoft SQ2 can use up to 16 GB of memory in 8 memory channels. The maximum memory bandwidth is 68.3 GB/s. The Raspberry Pi 5 B (Broadcom BCM2712) supports up to 8 GB of memory in 1 memory channels and achieves a memory bandwidth of up to 17.1 GB/s. |
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| Qualcomm Snapdragon Microsoft SQ2 | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| LPDDR4X-2133 | Memory | LPDDR4X-4266 |
| 16 GB | Max. Memory | 8 GB |
| 8 (Octa Channel) | Memory channels | 1 (Single Channel) |
| 68.3 GB/s | Max. Bandwidth | 17.1 GB/s |
| No | ECC | No |
| -- | L2 Cache | 2.00 MB |
| -- | L3 Cache | 2.00 MB |
| -- | PCIe version | 2.0 |
| -- | PCIe lanes | 4 |
| -- | PCIe Bandwidth | 2.0 GB/s |
Thermal ManagementThe thermal design power (TDP for short) of the Qualcomm Snapdragon Microsoft SQ2 is --, while the Raspberry Pi 5 B (Broadcom BCM2712) has a TDP of 12 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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| Qualcomm Snapdragon Microsoft SQ2 | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| -- | TDP (PL1 / PBP) | 12 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | 88 °C |
Technical detailsThe Qualcomm Snapdragon Microsoft SQ2 is manufactured in 7 nm and has 0.00 MB cache. The Raspberry Pi 5 B (Broadcom BCM2712) is manufactured in 16 nm and has a 4.00 MB cache. |
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| Qualcomm Snapdragon Microsoft SQ2 | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| 7 nm | Technology | 16 nm |
| Chiplet | Chip design | Monolithic |
| Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| -- | ISA extensions | -- |
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android, Windows 10 (ARM) | Operating systems | Windows 11 (ARM), Linux |
| Q3/2020 | Release date | Q3/2023 |
| -- | Release price | 79 $ |
| show more data | show more data | |
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4C 4T @ 1.00 GHz (2.40 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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Qualcomm Snapdragon Microsoft SQ2
8C 8T @ 3.15 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 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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Qualcomm Snapdragon Microsoft SQ2
8C 8T @ 3.15 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 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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Qualcomm Snapdragon Microsoft SQ2
8C 8T @ 3.15 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 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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Qualcomm Snapdragon Microsoft SQ2
8C 8T @ 3.15 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 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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Qualcomm Snapdragon Microsoft SQ2
Qualcomm Adreno 690 @ 0.00 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
Broadcom VideoCore VII @ 0.80 GHz |
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Devices using this processor |
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| Qualcomm Snapdragon Microsoft SQ2 | Raspberry Pi 5 B (Broadcom BCM2712) |
| Microsoft Surface Pro X | Raspberry Pi 5 B |
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