Benchmark Measurements and Reference Screenshots for Five Bloom Post-Processing Techniques on a MediaTek Dimensity 8300 Mobile GPU

This dataset contains raw benchmark measurements and reference screenshots from a comparative study of five bloom (glow) post-processing techniques implemented in OpenGL ES 3.1 and executed on a mobile tile-based GPU. The five techniques evaluated are: separable Gaussian blur, Kawase blur, mipmap-chain downsampling, compute shader blur, and a hybrid Kawase pipeline with HDR tone mapping. All techniques were measured on a MediaTek Dimensity 8300 system-on-chip under controlled thermal conditions. Contents Excel spreadsheets containing per-frame GPU timing measurements (captured via GL_TIME_ELAPSED timer queries) and thermal headroom traces sampled through the Android PowerManager API across all five techniques and both test scenes. Reference screenshots of the two test scenes (animated_wire and filled_dense) rendered with each of the five bloom techniques, used for the visual quality comparison reported in the accompanying paper. Intended use The dataset supports reproduction and verification of the timing, thermal, and visual quality results reported in the associated publication, and may be reused for further analysis of mobile GPU post-processing performance, thermal throttling behaviour on tile-based architectures, or visual quality comparisons across blur kernels.本数据集包含基于OpenGL ES 3.1实现、并在移动瓦片式GPU上运行的五种光晕（bloom）后处理技术对比研究的原始基准测试数据与参考截图。 本次评估的五种技术分别为：可分离高斯模糊、Kawase模糊（Kawase blur）、mipmap链下采样、计算着色器模糊，以及搭载HDR色调映射的混合式Kawase管线。所有测试均在受控热环境下的联发科天玑8300系统级芯片（MediaTek Dimensity 8300）上完成。 数据集内容 包含Excel电子表格，其中记录了五种测试技术与两个测试场景下的每帧GPU计时测量数据（通过GL_TIME_ELAPSED计时器查询捕获），以及通过Android PowerManager API采样得到的热余量轨迹。 此外还包含两个测试场景（animated_wire与filled_dense）分别使用五种光晕后处理技术渲染得到的参考截图，用于随附论文中报告的视觉质量对比实验。 预期用途 本数据集可用于复现与验证相关学术出版物中报告的计时、热特性与视觉质量结果，也可被复用以开展进一步研究，例如移动GPU后处理性能分析、瓦片式架构下的热节流行为研究，或跨模糊核的视觉质量对比。