rtx3090, "vkpeak 20210424 - fp32-scalar", Higher Results Are Better "rtx3090-gpu",20992.66,20807.39,20804.36 "rtx4090",46282.99,46236.1,46044.22 "vkpeak 20210424 - fp32-vec4", Higher Results Are Better "rtx3090-gpu",27589.79,27387,27397.1 "rtx4090",61144.05,61097.47,60982.97 "vkpeak 20210424 - fp16-scalar", Higher Results Are Better "rtx3090-gpu",20759.7,20791.8,20791.72 "rtx4090",46209.86,46216.84,46073.23 "vkpeak 20210424 - fp16-vec4", Higher Results Are Better "rtx3090-gpu",41128.27,41164.98,41166.14 "rtx4090",91640.71,91204.15,91342.9 "vkpeak 20210424 - fp64-scalar", Higher Results Are Better "rtx3090-gpu",652.23,653.35,653.32 "rtx4090",1455.11,1454.96,1455.14 "vkpeak 20210424 - fp64-vec4", Higher Results Are Better "rtx3090-gpu",652.15,653.3,653.19 "rtx4090",1454.82,1454.94,1455.16 "vkpeak 20210424 - int32-scalar", Higher Results Are Better "rtx3090-gpu",20735.27,20764.86,20764.5 "rtx4090",46150.4,46168.2,46184.37 "vkpeak 20210424 - int32-vec4", Higher Results Are Better "rtx3090-gpu",20647.19,20667.78,20668.23 "rtx4090",45951.51,45966.8,45832.67 "vkpeak 20210424 - int16-scalar", Higher Results Are Better "rtx3090-gpu",13677.33,13700.82,13698.58 "rtx4090",30779.11,30785.65,30704.44 "vkpeak 20210424 - int16-vec4", Higher Results Are Better "rtx3090-gpu",16745.94,16738.87,16736.96 "rtx4090",40902.97,40971.57,40903.6 "RealSR-NCNN 20200818 - Scale: 4x - TAA: No", Lower Results Are Better "rtx3090-gpu",5.591,5.622,5.626 "rtx4090",4.339,4.241,4.288 "RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes", Lower Results Are Better "rtx3090-gpu",29.568,29.73,29.716 "rtx4090",18.903,18.865,18.889 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "rtx3090-gpu",3.261,3.258,3.269 "rtx4090",2.505,2.476,2.496 "VkFFT 1.1.1 - ", Higher Results Are Better "rtx3090-gpu",42879,42007,43354 "rtx4090",60870,63609,63633,66670,67375,58633 "Hashcat 6.2.4 - Benchmark: MD5", Higher Results Are Better "rtx3090-gpu",68224900000,68179900000,68137100000 "rtx4090",157000000000,157400000000,157300000000 "Hashcat 6.2.4 - Benchmark: SHA1", Higher Results Are Better "rtx3090-gpu",21725700000,21846700000,21874700000 "rtx4090",50986900000,51055800000,51239000000 "Hashcat 6.2.4 - Benchmark: 7-Zip", Higher Results Are Better "rtx3090-gpu",1109800,1104700,1063700 "rtx4090",2767900,2766400,2792000 "Hashcat 6.2.4 - Benchmark: SHA-512", Higher Results Are Better "rtx3090-gpu",2743200000,2732700000,2731900000 "rtx4090",6524700000,6518300000,6518200000 "Hashcat 6.2.4 - Benchmark: TrueCrypt RIPEMD160 + XTS", Higher Results Are Better "rtx3090-gpu",779800,808600,784000 "rtx4090",1818700,1929800,1927500,1930100,1931000,1931900 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Integer", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Integer", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Double Precision", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Single Precision", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Half Precision", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Double Precision", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Single Precision", Higher Results Are Better "rtx3090-gpu", "rtx4090", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: S3D", Higher Results Are Better "rtx3090-gpu",427.739,428.912,427.083 "rtx4090",653.296,652.174,653.704 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Triad", Higher Results Are Better "rtx3090-gpu",13.1154,13.0962,13.0959 "rtx4090",26.2661,26.306,26.2884 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: FFT SP", Higher Results Are Better "rtx3090-gpu",2140.15,2141.31,2141.6 "rtx4090",2810.36,2811.53,2816.4 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: MD5 Hash", Higher Results Are Better "rtx3090-gpu",43.0759,43.0753,43.2432 "rtx4090",94.7185,94.7222,98.9198,94.8351 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Reduction", Higher Results Are Better "rtx3090-gpu",396.865,395.037,395.661 "rtx4090",1044.75,1044.63,1044.79 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: GEMM SGEMM_N", Higher Results Are Better "rtx3090-gpu",8316.33,8458.06,8511.64 "rtx4090",28841.2,27570.2,27577.1,27642.1 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Max SP Flops", Higher Results Are Better "rtx3090-gpu",39514.1,38992.4,39669.1 "rtx4090",92668.8,92269.6,92276.6 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Download", Higher Results Are Better "rtx3090-gpu",13.3607,13.3587,13.3587 "rtx4090",26.829,26.8291,26.8326 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Readback", Higher Results Are Better "rtx3090-gpu",13.1911,13.1919,13.1909 "rtx4090",26.3499,26.3482,26.3531 "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Texture Read Bandwidth", Higher Results Are Better "rtx3090-gpu",2197.04,2197.04,2203.34 "rtx4090",3095.43,3100.58,3100 "Libplacebo 5.229.1 - ", Higher Results Are Better "rtx3090-gpu", "rtx4090", "cl-mem 2017-01-13 - Benchmark: Copy", Higher Results Are Better "rtx3090-gpu",362.7,362.6,361.6 "rtx4090",417.4,415.8,416.9 "cl-mem 2017-01-13 - Benchmark: Read", Higher Results Are Better "rtx3090-gpu",826,827.4,828 "rtx4090",887.4,887.8,887.3 "cl-mem 2017-01-13 - Benchmark: Write", Higher Results Are Better "rtx3090-gpu",750.3,752,752.1 "rtx4090",816.5,811,813.6 "NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "rtx3090-gpu",0.110326,0.0928605,0.0926322,0.0988067,0.0953303,0.10767,0.0938684,0.096375,0.097381,0.0961419,0.0952474,0.0923541,0.0989258,0.0929463,0.0933083 "rtx4090",0.0860851,0.0796594,0.0789327,0.080812,0.0812286,0.0788416,0.077252,0.0801702,0.0811641,0.0782244,0.0866513,0.0792506,0.0770029,0.079887,0.0891034 "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "rtx3090-gpu", "rtx4090", "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "rtx3090-gpu",118.727,118.958,119.283 "rtx4090",53.849,53.824,53.773 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "rtx3090-gpu",9.292,9.475,9.283 "rtx4090",7.721,7.784,7.732 "OctaneBench 2020.1 - Total Score", Higher Results Are Better "rtx3090-gpu", "rtx4090", "RedShift Demo 3.0 - ", Lower Results Are Better "rtx3090-gpu", "rtx4090", "FAHBench 2.3.2 - ", Higher Results Are Better "rtx3090-gpu",328.5326,328.9582,327.9552 "rtx4090",443.4939,442.0091,441.8477 "LeelaChessZero 0.28 - Backend: OpenCL", Higher Results Are Better "rtx3090-gpu",39311,40231,40927 "rtx4090",74550,74881,73125 "Rodinia 3.1 - Test: OpenCL Particle Filter", Lower Results Are Better "rtx3090-gpu",3.938,3.733,3.725,3.747,3.678,3.78 "rtx4090", "ArrayFire 3.7 - Test: Conjugate Gradient OpenCL", Lower Results Are Better "rtx3090-gpu",1.59,1.608,1.596 "rtx4090",0.841,0.8431,0.8441 "LuxCoreRender 2.6 - Scene: DLSC - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",11.29,11.27,11.27 "rtx4090",21.93,21.86,21.92 "LuxCoreRender 2.6 - Scene: Danish Mood - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",9.2,9.14,9.17 "rtx4090",18.11,18.2,18.16 "LuxCoreRender 2.6 - Scene: Orange Juice - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",10.18,10.22,10.14 "rtx4090",17.53,17.16,17.56 "LuxCoreRender 2.6 - Scene: LuxCore Benchmark - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",11.18,11.09,11.16 "rtx4090",19.1,19,19.06 "LuxCoreRender 2.6 - Scene: Rainbow Colors and Prism - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",30.95,31.29,30.84 "rtx4090",40.08,40,40.83 "FinanceBench 2016-07-25 - Benchmark: Black-Scholes OpenCL", Lower Results Are Better "rtx3090-gpu",5.857,5.845,5.856 "rtx4090",3.019,2.85,2.845,2.841,2.843,2.843 "ViennaCL 1.7.1 - Test: CPU BLAS - sCOPY", Higher Results Are Better "rtx3090-gpu",154,143,156,151,152,154,154,154,146,146,150,154,156,151,154 "rtx4090",166,160,161 "ViennaCL 1.7.1 - Test: CPU BLAS - sAXPY", Higher Results Are Better "rtx3090-gpu",209,222,224,228,225,222,215,215,213,226,231,223,235,211,239 "rtx4090",235,252,248 "ViennaCL 1.7.1 - Test: CPU BLAS - sDOT", Higher Results Are Better "rtx3090-gpu",195,201,178,173,189,191,191,187,204,184,187,197,201,188,189 "rtx4090",230,217,207 "ViennaCL 1.7.1 - Test: CPU BLAS - dCOPY", Higher Results Are Better "rtx3090-gpu",49.1,45.8,49,47.5,48.8,48.4,48.7,44.8,47.9,46,48.8,45.6,48.8,46.7,47.4 "rtx4090",48.4,48.1,48.9 "ViennaCL 1.7.1 - Test: CPU BLAS - dAXPY", Higher Results Are Better "rtx3090-gpu",72.5,72.4,67.5,72.8,74,73.7,73.9,71,68.8,72.7,68.6,70.7,73.8,69.7,70.8 "rtx4090",69.3,74,74 "ViennaCL 1.7.1 - Test: CPU BLAS - dDOT", Higher Results Are Better "rtx3090-gpu",74.1,75.1,73.7,73.6,69.3,73.4,69.4,73.1,64.6,73.4,65.6,71.5,73.7,69.9,71.8 "rtx4090",73.8,71.5,73.6 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-N", Higher Results Are Better "rtx3090-gpu",81.8,87.5,84.6,86.3,87.6,80.5,77.1,85.4,86.4,16,84.8,85.6,81.3,86.4,53.7 "rtx4090",89.1,89,66.4 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-T", Higher Results Are Better "rtx3090-gpu",85.5,90.2,98.3,88.7,94.6,86.9,95.6,98.7,93.8,58.9,92.5,97.6,94.1,97.9,85.9 "rtx4090",96.9,100,99.5 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NN", Higher Results Are Better "rtx3090-gpu",109,111,112,109,112,110,111,113,108,113,110,111,114,108,112 "rtx4090",110,111,113 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NT", Higher Results Are Better "rtx3090-gpu",107,107,106,108,108,106,110,110,107,108,107,107,108,107,110 "rtx4090",107,108,108 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TN", Higher Results Are Better "rtx3090-gpu",121,116,117,120,115,120,116,120,117,115,117,115,115,115,114 "rtx4090",117,116,115 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TT", Higher Results Are Better "rtx3090-gpu",108,112,110,111,112,110,110,109,112,106 "rtx4090",111,109,110 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sCOPY", Higher Results Are Better "rtx3090-gpu",367,367,369 "rtx4090",483,481,481 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sAXPY", Higher Results Are Better "rtx3090-gpu",497,502,503 "rtx4090",611,610,609 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sDOT", Higher Results Are Better "rtx3090-gpu",380,378,379 "rtx4090",460,460,459 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dCOPY", Higher Results Are Better "rtx3090-gpu",607,606,605 "rtx4090",664,664,664 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dAXPY", Higher Results Are Better "rtx3090-gpu",724,724,723 "rtx4090",776,776,775 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dDOT", Higher Results Are Better "rtx3090-gpu",655,653,654 "rtx4090",733,732,731 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-N", Higher Results Are Better "rtx3090-gpu",189,189,188 "rtx4090",224,225,225 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-T", Higher Results Are Better "rtx3090-gpu",375,375 "rtx4090",449,450,450 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NN", Higher Results Are Better "rtx3090-gpu",605,600,599 "rtx4090",1200,1200,1190 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NT", Higher Results Are Better "rtx3090-gpu",609,604,594 "rtx4090",1320,1320,1320 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TN", Higher Results Are Better "rtx3090-gpu",606,601,602 "rtx4090",1340,1340,1340 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-TT", Higher Results Are Better "rtx3090-gpu", "rtx4090",1390,1390,1390 "GROMACS 2022.1 - Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "rtx3090-gpu", "rtx4090", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "rtx3090-gpu", "rtx4090", "NCNN 20220729 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "rtx3090-gpu",3.19,3.16,3.35,3.15,3.25,3.24 "rtx4090",3.11,2.73,2.79,2.81,2.82,2.89,3.24,39.47,2.98 "NCNN 20220729 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "rtx3090-gpu",1.71,1.67,1.8,1.87,1.82,1.87 "rtx4090",1.38,1.33,1.52,1.22,1.28,1.29,1.47,1.32,13.17 "NCNN 20220729 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "rtx3090-gpu",1.48,1.65,1.53,1.56,1.45,1.5 "rtx4090",1.64,1.61,2.16,1.49,1.71,1.73,1.84,1.81,12.41 "NCNN 20220729 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "rtx3090-gpu",1.46,1.72,1.65,1.47,1.41,1.46 "rtx4090",1.32,1.34,1.31,1.32,1.42,1.56,1.32,1.48,14.95 "NCNN 20220729 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "rtx3090-gpu",1.27,1.21,1.18,1.24,1.22,1.26 "rtx4090",1.06,1.06,1.05,1.04,1.32,1.06,1.05,1.13,13.77 "NCNN 20220729 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "rtx3090-gpu",4.8,9.62,4.07,2.75,4.95,5.9 "rtx4090",2.09,2.33,2.43,2.08,2.43,2.56,2.64,2.26,15.2 "NCNN 20220729 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "rtx3090-gpu",0.95,0.91,0.93,0.89,0.91,0.87 "rtx4090",0.84,0.85,0.84,0.84,0.86,0.87,0.85,0.88,0.86 "NCNN 20220729 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "rtx3090-gpu",10.4,10.51,10.8,10.75,10.16,10.43 "rtx4090",2.34,2.09,2.33,2.42,2.36,2.26,2.24,2.47,2.33 "NCNN 20220729 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "rtx3090-gpu",2.95,3.62,2.91,2.49,3.78,2.82 "rtx4090",2.18,1.99,2.22,2.15,2.04,1.88,1.85,13.8,2.26 "NCNN 20220729 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "rtx3090-gpu",1.64,1.61,2.07,2.17,2.1,1.69 "rtx4090",1.5,1.54,1.58,1.65,1.5,1.78,1.76 "NCNN 20220729 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "rtx3090-gpu",1.18,1.15,1.17,1.21,1.16,1.16 "rtx4090",1.76,1.86,1.93,1.78,3.33,2.16,1.79,2.15,2.5 "NCNN 20220729 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "rtx3090-gpu",2.38,2.48,2.66,2.62,2.92,2.32 "rtx4090",2.33,2.16,2.21,2.04,1.89,2.17,2.32,16.56,2.05 "NCNN 20220729 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "rtx3090-gpu",6.81,8.06,10.16,29.94,12.79,8.91 "rtx4090",5.64,5.49,5.3,5.6,5.65,5.64,5.46,40.92,5.44 "NCNN 20220729 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "rtx3090-gpu",36.94,34.29,33.43,29.48,37.42,34.16 "rtx4090",3.78,4.02,3.83,3.83,3.66,3.86,4.18,42.33,3.91 "NCNN 20220729 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "rtx3090-gpu",1.82,1.79,2.64,1.8,2.66,1.93 "rtx4090",1.42,1.6,1.44,1.42,1.48,1.46,1.49,1.59,1.43 "NCNN 20220729 - Target: Vulkan GPU - Model: vision_transformer", Lower Results Are Better "rtx3090-gpu",142.17,142.87,143.15,143.9,234.94,145.3 "rtx4090",143.27,142.12,141.85,144.81,143.62,144.66,142.31,1292.07,141.12 "NCNN 20220729 - Target: Vulkan GPU - Model: FastestDet", Lower Results Are Better "rtx3090-gpu",2.16,2.45,1.99,2.2,2.28,2.22 "rtx4090",2.22,2.1,2.46,2.33,2.08,2.24,2.42,15.3,2.32 "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "rtx3090-gpu", "rtx4090", "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL", Higher Results Are Better "rtx3090-gpu", "rtx4090", "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "rtx3090-gpu", "rtx4090", "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "rtx3090-gpu", "rtx4090", "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL", Higher Results Are Better "rtx3090-gpu", "rtx4090", "Blender 3.4 - Blend File: BMW27 - Compute: NVIDIA OptiX", Lower Results Are Better "rtx3090-gpu",5.76,5.79,5.78 "rtx4090",119.75,3.36,3.36,3.34,3.37,3.34,3.36,3.35,3.37,3.37,3.36,3.35 "Blender 3.4 - Blend File: Classroom - Compute: NVIDIA OptiX", Lower Results Are Better "rtx3090-gpu",13.97,14.05,13.99 "rtx4090",7.04,7.05,6.99 "Blender 3.4 - Blend File: Fishy Cat - Compute: NVIDIA OptiX", Lower Results Are Better "rtx3090-gpu",10.17,10.13,10.15 "rtx4090",5.94,5.21,5.21,5.2,5.26,5.24,5.25,5.22,5.27,5.21,5.22,5.2,5.22 "Blender 3.4 - Blend File: Barbershop - Compute: NVIDIA OptiX", Lower Results Are Better "rtx3090-gpu",51.87,51.47,51.49 "rtx4090",29.65,29.59,29.79 "Blender 3.4 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX", Lower Results Are Better "rtx3090-gpu",15.44,15.44,15.41 "rtx4090",7.74,7.75,7.73 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Bedroom", Higher Results Are Better "rtx3090-gpu",18.563,18.717,18.65 "rtx4090",33.774,33.582,33.747 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Supercar", Higher Results Are Better "rtx3090-gpu",49.406,49.366,48.943 "rtx4090",77.615,77.685,77.672 "MandelGPU 1.3pts1 - OpenCL Device: GPU", Higher Results Are Better "rtx3090-gpu",3132082,3132128.4,3132118.4 "rtx4090",803577634.4,813696635.1,796195969.3 "clpeak - OpenCL Test: Integer Compute INT", Higher Results Are Better "rtx3090-gpu",17958.83,18448.51,18031.64 "rtx4090",43791.05,43057.77,42401.98 "clpeak - OpenCL Test: Single-Precision Float", Higher Results Are Better "rtx3090-gpu",35837.74,35159.62,35591.19 "rtx4090",85061.13,85019.92,85126.99 "clpeak - OpenCL Test: Double-Precision Double", Higher Results Are Better "rtx3090-gpu",654.74,654.19,652.15 "rtx4090",1451.39,1448.68,1449.23 "clpeak - OpenCL Test: Global Memory Bandwidth", Higher Results Are Better "rtx3090-gpu",814.16,814.28,814.21 "rtx4090",868.92,870.02,870.22 "NeatBench 5 - Acceleration: GPU", Higher Results Are Better "rtx3090-gpu",3090,3090,3090 "rtx4090",4090,4090,4090