AIDA64 GPGPU Benchmark - Single Precision FLOPS score 599.4 GFLOPS with a i5-1335U

Hardware: Intel Core i5 1335U

CPUID : 13th Gen Intel(R) Core(TM) i5-1335U
Architecture : x86
Codename : Raptor Lake
L3 Cache : 12 MB
Clock : 1.3GHz - 4.6GHz
Core/Thread : 10(2P + 8E)/12
TDP : 15W
Technology : 10nm
Socket : 1744 FCBGA
IGPU : Intel Iris Xe Graphics Mobile (80EUs, Raptor Lake)

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Software: AIDA64 GPGPU Benchmark - Single Precision FLOPS

Score: 599.4 GFLOPS

AIDA64 GPGPU Benchmark is a benchmarking feature available within the AIDA64 application, specifically aimed at measuring GPU parallel computing performance through OpenCL technology. It can be accessed through the Tools | GPGPU Benchmark menu, and is designed to evaluate the ability of various GPU devices to run compute-intensive workloads. AIDA64 supports testing up to 16 GPUs simultaneously, including combinations of AMD, Intel, and NVIDIA, whether in discrete GPU (dGPU), integrated GPU (APU), or multi-GPU systems such as SLI and CrossFire.

One of the key tests in this benchmark is Single Precision FLOPS, which measures the GPU's ability to perform 32-bit floating point operations (FP32). This test is important because many modern applications-especially in graphics, physics, AI, and video processing-rely on FP32 as the basis for key calculations. The resulting score in GFLOPS (Giga Floating Point Operations per Second) indicates how fast the GPU can complete a large number of single-precision mathematical calculations in parallel.

This benchmark not only provides a benchmark of general GPU computing performance, but is also an important indicator for GPGPU-based workloads (General Purpose GPU Computing). By relying on the OpenCL standard, this test is cross-platform and able to measure the performance of various GPU vendors in a fair and open manner. Even systems with mixed or hybrid GPUs can be thoroughly tested as long as they are recognized as computing units by the OpenCL driver.

The AIDA64 GPGPU Benchmark is particularly useful for professional users, parallel software developers, and technology enthusiasts who want to assess the power of their GPU in a computational context, not just in graphics rendering. With support for multi-GPU configurations and detailed results, this benchmark is a reliable tool for evaluating hardware performance in demanding tasks that require precision and high throughput.