Sandra Lite 2020 30.20 SP1

What's new in this version:

Major changes:
- All connections to website engines (Ranker, Information, Price) are now secured by SSL through HTTP
- Sandra client (management console) is now installed as native 64-bit (on x64 and arm64) and thus needs 64-bit Access components (2016, 2013, 2010, etc.) or SQL Server (2017, 2016, 2014, etc) for its database

Brand-new benchmarks (AI/ML), hardware support:
- London, UK, July 18th, 2019 – We are pleased to announce the launch of SiSoftware Sandra 20/20 (2020), the latest version of our award-winning utility, which includes remote analysis, benchmarking and diagnostic features for PCs, servers, mobile devices and networks
- It adds two Neural Networks AI/ML (Artificial Intelligence/Machine Learning) benchmarks for both CPU and GP (GPU) to measure both CNN (Convolution Neural Network) & RNN (Recurrent Neural Networks) performance on modern hardware
- It also adds hardware support and optimisations for brand-new CPU architectures (AMD Ryzen 2 (3000 series); Intel IceLake, CometLake) not forgetting GPGPU architectures across the various interfaces (CUDA, OpenCL, DirectX ComputeShader, OpenGL Compute)
- As SiSoftware operates a “just-in-time” release cycle, some features were introduced in Sandra 2017 service packs: in Sandra Titanium they have been updated and enhanced based on all the feedback received

Broad Operating System Support:
- All current versions supported: Windows 10, 8.1, 8, 7; Server 2019, 2016, 2012/R2 and 2008/R2
- Brand new AI/ML benchmarks featuring both CNN & RNN networks testing both inference/forward and training/back-propagation performance

Processor Neural Networks (AI/ML):
- A combined performance index of CNN (inference/forward & training) & RNN (inference/forward & training) for all precisions (single/FP32, double/FP64 floating-point) and instruction sets (AVX512, AVX2/FMA, AVX, SSE4, SSE2, RTM/HLE with NUMA and large-page support)
- Ranker: Processor Neural Networks (Normal/Single Precision)
- Ranker: Processor Neural Networks (High/Double Precision)

GP (GPU) Neural Networks (AI/ML):
- A combined performance index of CNN (inference/forward & training) & RNN (inference/forward & training) for all precisions (half/FP16, single/FP32 floating-point) and platforms (CUDA, OpenCL, DirectX Compute)
- GP (GPU) Neural Networks (Normal/Single Precision)
- GP (GPU) Neural Networks (Low/Half Precision)

CNN (Convolution Neural Network) Architecture:
- Detailed document on the CNN architecture, data-sets and results that underpin our choices for the new benchmarks
- The new Neural Networks (AI/ML) Benchmarks: CNN Architecture

RNN (Recurrent Neural Network) Architecture:
- Detailed document on the RNN architecture, data-sets and results that underpin our choices for the new benchmarks
- The new Neural Networks (AI/ML) Benchmarks: RNN Architecture