SiSoftware Sandra Lite 歷史版本列表
更新時間：2016-02-24
更新細節：
What's new in this version:
This release introduces initial AVX512 benchmarks with all SIMD benchmarks due to be ported once compiler support becomes available:
- CPU Multi-Media (Fractal Generation): single, double floating-point; integer, long benchmarks ported to AVX512. [See article Future performance with AVX512]
- CPU Crypto (SHA Hashing): SHA2-256 and SHA2-512 multi-buffer ported to AVX512
- Hardware support for future arch (AMD and Intel)
- Net Multi-Media native vector support is vector width independent and thus will support AVX512 with a future CLR release automatically
GPU Image Processing - new, more complex filters:
- Oil Painting: Quantise (9×9) Filter: CUDA, OpenCL
- Diffusion: Randomise (256) Filter: CUDA, OpenCL
CPU Image Processing - new, more complex filters:
- Oil Painting: Quantise (9×9) Filter: AVX2/FMA, AVX, SSE2
- Diffusion: Randomise (256) Filter: AVX2/FMA, AVX, SSE2
- More benchmarks will be ported to AVX512 subject to compiler support; currently Microsoft’s VC++ does not support AVX512 intrinsics and in the interest of fairness we do not use specialized compilers
更新時間：2015-12-22
更新細節：
What's new in this version:
- .Net native Vector support: (floating-point single/double) in latest 4.6 CLR RyuJIT. the CLR automatically uses AVX/SSE2 SIMD as supported by the CPU. (see .Net Vectors (CLR 4.6 RyuJIT) Performance article for more information)
- CPU Image Processing: Did not run SIMD code-paths (FMA, AVX, SSE2) only FPU resulting in low performance
- GPGPU Image Processing: Minor performance optimisation for median/de-noise filter
- GPGPU Crypto: SHA performance optimisations for nVidia cards in CUDA and OpenCL (SHA1 especially)
- Overall Score 2016: score may not generate in all cases
- Windows 10: 1511 SDK update (build 10586 2015 November update)
- Website Change: Due to transition to WP links and feeds were broken
更新時間：2015-11-20
更新細節：
What's new in this version:
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 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: 3x3 Convolution Filter
- Sharpen: 5x5 Convolution Filter
- Motion Blur: 7x7 Convolution Filter
- Edge Detection: Horizontal + Vertical 5x5 Sobel Filter
- De-Noise: 5x5 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: 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
更新時間：2015-09-18
更新細節：
更新時間：2015-07-09
更新細節：
What's new in this version:
- OpenGL ComputeShader benchmarks (Fractals, Crypto, Financial) with preliminary DirectX 12 support for upcoming Windows 10.
更新時間：2015-05-28
更新細節：
更新時間：2015-03-19
更新細節：
What's new in this version:
- FP16 benchmarks, disk 4k/page size testing, further hardware support and fixes, software support (Windows 10) and other fixes.
更新時間：2015-02-18
更新細節：
更新時間：2015-01-19
更新細節：
更新時間：2014-12-01
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