Page 5 - Benchmark: AIDA64 FPU
About AIDA64 Engineer
AIDA64 Engineer has a hardware detection engine unrivaled in its class. It provides detailed information about installed software and offers diagnostic functions and support for overclocking. As it is monitoring sensors in real time, it can gather accurate voltage, temperature and fan speed readings, while its diagnostic functions help detect and prevent hardware issues. It also offers a couple of benchmarks for measuring the performance of individual hardware components or the whole system. It is compatible with all 32-bit and 64-bit Windows editions, including Windows 10 and Windows Server 2016.
From: Developer's Page
The next tests are the FPU results, which are also found in AIDA64 Engineer. Again, we can see gains across the board for all these tests. These FPU tests benchmark systems with floating point operations. This includes AVX, AVX2 and FMA instructions. AVX and AVX2 instructions are Advanced Vector Extensions, and are used in floating-point math in addition to increasing the degree of parallelism for certain operations. FMA stands for fused-multiply add. As the name implies, it involves multiplying and adding in one step. Without getting into too much detail, this may sound easy, but it actually involves quite a few smaller operations, including several commands of loading, storing, multiplying, and adding. More details about AIDA64 tests can be found on the developer's website. Getting to the results, however, we can see speedups of 17.7%, 24.9%, 25.0%, and 25.0%, respectively, in the four AIDA64 FPU results above. These results are relatively consistent with the gains found in the CPU tests, which is good to see.
Page Index
1. Introduction, Packaging, Specifications
2. Bundle, Chipset, BIOS
3. A Closer Look, Board Layout, Test System
4. Benchmark: AIDA64 CPU
5. Benchmark: AIDA64 FPU
6. Benchmark: AIDA64 Memory
7. Benchmark: PCMark 8
8. Benchmark: 3DMark
9. Benchmark: PassMark PerformanceTest 8.0
10. Benchmark: SuperPI 1M, Cinebench R15
11. Onboard Sound Frequency Analysis
12. Overclocking and Conclusion
