Sandra - the latest version of its award-winning utility which includes remote analysis, benchmarking and diagnostic features for PCs, servers, PDAs1, Smart Phones1, small office/home office (SOHO) networks and enterprise networks. SiSoftware Sandra (the System ANalyser, Diagnostic and Reporting Assistant) is an information & diagnostic utility. It should provide most of the information (including undocumented) you need to know about your hardware, software and other devices whether hardware or software. It works along the lines of other Windows utilities, however it tries to go beyond them and show you more of what's really going on. Giving the user the ability to draw comparisons at both a high and low-level. You can get information about the CPU, chipset, video adapter, ports, printers, sound card, memory, network, Windows internals, AGP, PCI, PCI-X, PCIe (PCI Express), database, USB, USB2, 1394/Firewire, etc.
We are pleased to announce the launch of SiSoftware Sandra 2016, the latest version of our award-winning utility, which includes remote analysis, benchmarking and diagnostic features for PCs, servers, mobile devices and networks.
We have expanded our portfolio with brand-new CPU and GPGPU Image Processing benchmarks (testing common filters) that support all modern instruction sets (AVX2, FMA, AVX, SSE2) as well as GPGPU interfaces (CUDA, OpenCL, DirectX 10/11 ComputeShader). Since Compute is now supported in the very latest versions of OpenGL (4.3+) we have also ported the GPGPU benchmarks to this new interface.
With the public release of Windows 10 RTM we have transitioned to the brand-new tools in order to use the very latest technologies, including future DirectX 12 (both shader and compute).
As SiSoftware operates a “just-in-time” release cycle, some features were introduced in Sandra 2015 service packs: in Sandra 2015 they have been updated and enhanced based on all the feedback received.
Here is an in-depth new feature list of Sandra 2016:
Broad Operating System Support
All current OS versions supported: Windows 10 RTM, 8.1, 8, 7; Server 2016*, 2012/R2 and 2008/R2
- New Benchmark Module: GPGPU Image Processing (common filters: blur, sharpen, sobel, median/de-noise) supporting all modern interfaces (CUDA, OpenCL, DirectX ComputeShader)
- New Benchmark Module: CPU Image Processing (common filters: blur, sharpen, sobel, median/de-noise) supporting all modern vectorised SIMD instruction sets (FMA, AVX, SSE2)
- New OpenGL Compute Support: Ported GPGPU benchmarks to OpenGL (4.3+) Compute Shader (Fractals, Crypto, Image Processing)
- New GPU Precision: FP16/half-float precision benchmarks (Financial, Scientific)
- New CPU Test: 64-bit Integer Dhrystone measuring 64-bit integer workload performance.
- New .Net vector Support: Native vector to SIMD (AVX, SSE2, etc.) conversion in the latest 4.6 CLR (RyuJIT).
- New Transcode Test: HEVC/H.265 media transcode test, brand-new high-bitrate master AVC1 media file 1080p and UHD/4K (commercial versions) for UHD/4K, 3K, 1440p transcoding benchmarking.
- Updated Benchmark: Updated Overall Score (2016) by adding new benchmarks to the index.
- New Operating System Support: Full support for Windows 10 RTM, 8.1, 8, 7 as well as Server 2016*, 2012/R2, 2008/R2.
- New Hardware Support: Modern and future hardware support.
CPU, GPGPU Image Processing
Common filters: blur, sharpen, sobel, median/de-noise
Image/photo manipulation is an increasing common task with GPGPUs increasingly used to accelerate filter processing in popular programs (e.g. Photoshop). This brand-new benchmark set tests the performance of various filters:
- Blur: 3×3 Convolution Filter
- Sharpen: 5×5 Convolution Filter
- Motion Blur: 7×7 Convolution Filter
- Edge Detection: Horizontal + Vertical 5×5 Sobel Filter
- De-Noise: 5×5 Median Filter
CPU, GPGPU Image Processing
Modern vectorised and GPU interfaces
Image/photo manipulation is greatly accelerated through vectorised SIMD instruction sets (FMA, AVX, SSE2) operating on multiple pixels at the same time, but also increasingly accelerated by GPGPUs in modern programs (e.g. Photoshop). This brand-new benchmark set supports all GPGPU interfaces as well as SIMD instruction sets:
- GPGPU: CUDA (7.5), OpenCL (2.0, 1.2), DirectX Compute Shader (11/10), OpenGL Compute Shader (4.3+) [future DirectX 12 support]
- CPU: AVX2, FMA3, AVX, SSE2 instruction sets [future AVX512 support]
Updated Overall Score 2016 benchmark for complete system performance evaluation
16 benchmarks to fully evaluate computer performance
While each benchmark measures the performance of a specific device (CPU, Memory, (GP)GPU, Storage, etc.), there is a real need for a benchmark to evaluate the overall computer performance: this new benchmark is a weighted average of the individual scores of the existing benchmarks:
- Native CPU Arithmetic, Cryptographic, Multi-Media (SIMD), Financial and Scientific: measures native processing performance using the very latest instruction sets (AVX2, FMA3, AVX, SSE2)
- .Net/Java Arithmetic: measures software virtual machine performance (e.g. for .Net WPF/Silverlight/Modern applications)
- Memory and Cache Bandwidth and Latency: measures memory and caches performance
- File System/Storage Bandwidth and I/O: measures storage performance
- GP (General Processing) / HC (Heterogonous Compute) (GPU/APU) Arithmetic, Cryptographic, Financial, Scientific: measures (GP)GPU/APU processing performance
- GP (General Processing) / HC (Heterogonous Compute) (GPU/APU) Memory Bandwidth and Latency: measures (GP)GPU/APU memory performance