GPUPI for CPU v.3.3 - 100M score 1min 2sec 869ms with a i5-6300U

Hardware: Intel Core i5 6300U

CPUID : Intel(R) Core(TM) i5-6300U
Architecture : x86
Codename : Skylake
L3 Cache : 3 MB
Clock : 2.4GHz - 3GHz
Core/Thread : 2/4
TDP : 15W
Technology : 14nm
Socket : 1356 FCBGA
IGPU : Intel HD Graphics 520 (Mobile)

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Software: GPUPI for CPU v.3.3 - 100M

Score: 1min 2sec 869ms

GPUPI for CPU v3.3 – 100M is a high-precision computing benchmark designed to test the performance of processors (CPUs) in calculating the value of π (pi) to 100 million decimal places. This benchmark uses the highly efficient BBP (Bailey–Borwein–Plouffe) algorithm, specifically designed to measure the speed and efficiency of CPUs in performing complex mathematical calculations using parallel architecture.

The 100M version of this benchmark offers a moderate workload—challenging enough to measure system performance and stability, yet still completable in a relatively short time by modern CPUs. Therefore, this benchmark is ideal for both quick testing and performance comparisons between different systems or processor configurations.

GPUPI for CPU v3.3 supports multi-threaded execution, allowing all CPU cores and threads to be utilized optimally to accelerate the calculation process. The benchmark score is expressed in units of time (seconds), where a lower value indicates better CPU performance in handling numerical computational workloads.

In addition to being a raw performance measurement tool, GPUPI 100M is also frequently used by overclockers and system developers to test overclock stability, cooling effectiveness, and verify performance consistency after system changes such as BIOS updates or memory tuning.

With the integration of BenchMate in version 3.3, benchmark scores are also more secure from manipulation, making it a credible tool for professional testing and official benchmark competitions.

Overall, GPUPI for CPU v3.3 – 100M is a highly effective lightweight-to-midweight benchmark for evaluating a CPU's numerical computing capabilities in real-world and technical scenarios, while remaining efficient in terms of execution time.