nvidia, "vkpeak 20210424 - fp32-scalar", Higher Results Are Better "nvdida",17806.41,17040.69,17037.91,17036.66 "vkpeak 20210424 - fp32-vec4", Higher Results Are Better "nvdida",17339.54,17067.62,16927.09,16930.77 "vkpeak 20210424 - fp16-scalar", Higher Results Are Better "nvdida",17155.65,16946.2,16843.4,16848.27 "vkpeak 20210424 - fp16-vec4", Higher Results Are Better "nvdida",33109.1,32805.54,32755.98,32751 "vkpeak 20210424 - fp64-scalar", Higher Results Are Better "nvdida",534.49,534.43,534.48,534.43 "vkpeak 20210424 - fp64-vec4", Higher Results Are Better "nvdida",538.84,534.94,534.42,534.49 "vkpeak 20210424 - int32-scalar", Higher Results Are Better "nvdida",17124.88,17125.55,16988.35,16989.34 "vkpeak 20210424 - int32-vec4", Higher Results Are Better "nvdida",17028.55,16891.4,16892.89,16894.35 "vkpeak 20210424 - int16-scalar", Higher Results Are Better "nvdida",11230.16,11228.57,11228.89,11228.38 "vkpeak 20210424 - int16-vec4", Higher Results Are Better "nvdida",14362.26,14266.27,14244.41,14254.89 "RealSR-NCNN 20200818 - Scale: 4x - TAA: No", Lower Results Are Better "nvdida",8.728,8.629,8.819 "RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes", Lower Results Are Better "nvdida",45.233,45.698,45.902 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "nvdida",4.313,4.266,4.258 "VkFFT 1.1.1 - ", Higher Results Are Better "nvdida",34208,35295,33511,35400,34129 "Hashcat 6.1.1 - Benchmark: MD5", Higher Results Are Better "nvdida",52351900000,52181300000,51970000000 "Hashcat 6.1.1 - Benchmark: SHA1", Higher Results Are Better "nvdida",18059100000,17957500000,17912200000 "Hashcat 6.1.1 - Benchmark: 7-Zip", Higher Results Are Better "nvdida",856400,854200,860000 "Hashcat 6.1.1 - Benchmark: SHA-512", Higher Results Are Better "nvdida",2292200000,2286100000,2277400000 "Hashcat 6.1.1 - Benchmark: TrueCrypt RIPEMD160 + XTS", Higher Results Are Better "nvdida",671000,670700,670500 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Integer", Higher Results Are Better "nvdida",16173.17,16955.7,16947.15,16967.46 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Double Precision", Higher Results Are Better "nvdida",459.42,457.34,457.33 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Single Precision", Higher Results Are Better "nvdida",17050.29,16976.03,17009.85 "cl-mem 2017-01-13 - Benchmark: Copy", Higher Results Are Better "nvdida",324,324,323.6 "cl-mem 2017-01-13 - Benchmark: Read", Higher Results Are Better "nvdida",569.3,569.3,569.3 "cl-mem 2017-01-13 - Benchmark: Write", Higher Results Are Better "nvdida",513.2,514.5,511.1 "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "nvdida",4.196,4.379,4.082,4.098,4.073,4.106,4.104,4.081,4.15 "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "nvdida",5.281,5.296,5.331 "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "nvdida",149.647,149.571,149.502 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "nvdida",13.523,13.477,13.508 "FAHBench 2.3.2 - ", Higher Results Are Better "nvdida",305.5016,303.0829,299.2578 "LeelaChessZero 0.26 - Backend: OpenCL", Higher Results Are Better "nvdida",7037,7018,7088 "Rodinia 3.1 - Test: OpenCL Particle Filter", Lower Results Are Better "nvdida",4.709,4.472,4.409,4.446,4.448,4.44 "ArrayFire 3.7 - Test: Conjugate Gradient OpenCL", Lower Results Are Better "nvdida",1.602,1.596,1.601 "LuxCoreRender 2.5 - Scene: DLSC - Acceleration: GPU", Higher Results Are Better "nvdida",5.92,5.69,5.84 "LuxCoreRender 2.5 - Scene: Danish Mood - Acceleration: GPU", Higher Results Are Better "nvdida",3.53,3.45,3.16,3.42,3.18,3.31,3.13,3.16,3.16,3.17,3.43,3.15,3.42,3.13,3.43 "LuxCoreRender 2.5 - Scene: Orange Juice - Acceleration: GPU", Higher Results Are Better "nvdida",5.96,5.95,5.95 "LuxCoreRender 2.5 - Scene: LuxCore Benchmark - Acceleration: GPU", Higher Results Are Better "nvdida",4.5,4.45,4.43 "LuxCoreRender 2.5 - Scene: Rainbow Colors and Prism - Acceleration: GPU", Higher Results Are Better "nvdida",14.97,15.49,13.73,15.32,15.68,15.66,15.92,15.72,10.71,15.92,16.17,15.77 "FinanceBench 2016-07-25 - Benchmark: Black-Scholes OpenCL", Lower Results Are Better "nvdida",8.124,8.194,8.19 "ViennaCL 1.7.1 - Test: CPU BLAS - sCOPY", Higher Results Are Better "nvdida",23.5,25.3,25.6,25.2,25.2,25.1,26.3,26.3,25.6,26.1,25.7,26.1,26.1,26,26 "ViennaCL 1.7.1 - Test: CPU BLAS - sAXPY", Higher Results Are Better "nvdida",35.7,35.4,34.6,36.3,36.2,36.1,39.4,39.2,38.8,38.9,38.8,38.8,39,38.7,38.9 "ViennaCL 1.7.1 - Test: CPU BLAS - sDOT", Higher Results Are Better "nvdida",39.3,38.6,38.8,39.6,39.6,39.2,43.5,43.7,43.2,43.2,43.2,43.4,43.4,43.3,43.2 "ViennaCL 1.7.1 - Test: CPU BLAS - dCOPY", Higher Results Are Better "nvdida",24.9,24.8,25,24.7,24.8,24.9,25,25.1,24.5,24.8,24.8,24.7,24.8,24.9,24.7 "ViennaCL 1.7.1 - Test: CPU BLAS - dAXPY", Higher Results Are Better "nvdida",37.1,37,37.2,37.2,37.4,37.4,37.4,37.4,37.1,37.2,37.1,37.1,37.2,36.3,37.1 "ViennaCL 1.7.1 - Test: CPU BLAS - dDOT", Higher Results Are Better "nvdida",41.7,36.9,41.4,41.6,41.8,39.6,41.5,41.8,41.5,41.7,41.6,41.6,41.5,41.4,41.6 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-N", Higher Results Are Better "nvdida",42.9,42.7,42.4,42.4,42.9,42.8,42.1,42.6,42.7,42.6,43,41.9,42.8,42.9,42.6 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-T", Higher Results Are Better "nvdida",43.1,43.7,43.5,40.8,43.7,34.8,43.8,43.6,43.4,43.6,41.7,43.6 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NN", Higher Results Are Better "nvdida",22.1,21.5,21.9,22.1,21.8,17.9,22.2,22,22,22.3,22.1,22.1,22,22,22.2 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NT", Higher Results Are Better "nvdida",21.5,21.7,21.8,21.7,18.5,21.7,21.5,21.7,21.5,22,21.9,21.7,21.8,22 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TN", Higher Results Are Better "nvdida",22.7,22.7,22.6,22.8,22.8,21.2,22.8,22.6,22.7,22.8,22.7,22.8,22.7,22.8,22.8 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TT", Higher Results Are Better "nvdida",22.3,22.4,22.3,22.3,21.9,22.2,22.5,22.3,22.4,22.5,22.5,22.3,22.4,22.5 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sCOPY", Higher Results Are Better "nvdida",314,315,309 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sAXPY", Higher Results Are Better "nvdida",409,407,407 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sDOT", Higher Results Are Better "nvdida",320,318,318 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dCOPY", Higher Results Are Better "nvdida",498,497,497 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dAXPY", Higher Results Are Better "nvdida", "ViennaCL 1.7.1 - Test: OpenCL BLAS - dDOT", Higher Results Are Better "nvdida", "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-N", Higher Results Are Better "nvdida",465,464,462 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-T", Higher Results Are Better "nvdida",376,374,373 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NN", Higher Results Are Better "nvdida",505,501 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NT", Higher Results Are Better "nvdida",501,493 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TN", Higher Results Are Better "nvdida",495,491,487 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TT", Higher Results Are Better "nvdida",500,496 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "nvdida",21.87,22.5,22.56 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "nvdida",6.38,6.61,6.58 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "nvdida",5.28,5.27,5.33 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "nvdida",6.82,7.15,6.92 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "nvdida",5.84,5.7,5.57 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "nvdida",8.3,8.63,8.46 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "nvdida",2.18,2.2,2.24 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "nvdida",16.82,16.56,16.93 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "nvdida",63.55,63.74,64.78 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "nvdida",16.13,15.91,16.31 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "nvdida",13.28,13.35,13.73 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "nvdida",33.5,33.53,34.33 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "nvdida",31.31,30.79,31.33 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "nvdida",21.76,22.24,22.1 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "nvdida",17.13,17.34,17.29 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Bedroom", Higher Results Are Better "nvdida",11.665,11.65,11.615 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Supercar", Higher Results Are Better "nvdida",34.752,34.602,34.585 "Blender 2.92 - Blend File: BMW27 - Compute: CUDA", Lower Results Are Better "nvdida",377.41,368.59,357.11,355.75,337.4,340.81 "Blender 2.92 - Blend File: Classroom - Compute: CUDA", Lower Results Are Better "nvdida",774.24,777.5,760.57 "Blender 2.92 - Blend File: Fishy Cat - Compute: CUDA", Lower Results Are Better "nvdida",843.2,845.18,873.5 "Blender 2.92 - Blend File: Barbershop - Compute: CUDA", Lower Results Are Better "nvdida",1044.65,1051.18,1056.65 "Blender 2.92 - Blend File: BMW27 - Compute: NVIDIA OptiX", Lower Results Are Better "nvdida",324.46,374.04,350.14,356.99,387.35,355.38,353.33,368.42,339.66 "Blender 2.92 - Blend File: Classroom - Compute: NVIDIA OptiX", Lower Results Are Better "nvdida",790.67,778.08,780.39 "Blender 2.92 - Blend File: Fishy Cat - Compute: NVIDIA OptiX", Lower Results Are Better "nvdida",861.17,882.1,881.6 "Blender 2.92 - Blend File: Barbershop - Compute: NVIDIA OptiX", Lower Results Are Better "nvdida",1044.37,1043.01,1040.86 "Blender 2.92 - Blend File: Pabellon Barcelona - Compute: CUDA", Lower Results Are Better "nvdida",1118.05,1063.02,1175.1,1174.9,1168.84,1064.5,1152.15,1190.3,1181.46 "Blender 2.92 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX", Lower Results Are Better "nvdida",1146.7,1151.1,1140.88 "MandelGPU 1.3pts1 - OpenCL Device: GPU", Higher Results Are Better "nvdida",2835955.1,2835972.9,2835951.8 "clpeak - OpenCL Test: Integer Compute INT", Higher Results Are Better "nvdida",13755.31,14202.15,14735.13,14920.21,14606.04,13779.58,14212.33,14419.19,14622.57,13562.07,14179.54,14625.62,13890.3,14142.92,14713.62 "clpeak - OpenCL Test: Single-Precision Float", Higher Results Are Better "nvdida",15266.42,14854.2,14137.53,15160.38,13670.21,15550.38,14532.53,13838.92,15856.63,14798.27,14102.81,13714.04,14052.97,14410.88,15639.27 "clpeak - OpenCL Test: Double-Precision Double", Higher Results Are Better "nvdida",543.7,543.79,539.47 "clpeak - OpenCL Test: Global Memory Bandwidth", Higher Results Are Better "nvdida",531.19,531.13,531.03