cuda-GTX1660Super-2021Nov, "vkpeak 20210424 - fp32-scalar", Higher Results Are Better "GTX 1660 Super",5423.68,5257.4,5297.42 "vkpeak 20210424 - fp32-vec4", Higher Results Are Better "GTX 1660 Super",5392.11,5266.84,5265.69 "vkpeak 20210424 - fp16-scalar", Higher Results Are Better "GTX 1660 Super",5355.75,5272.07,5271.43 "vkpeak 20210424 - fp16-vec4", Higher Results Are Better "GTX 1660 Super",10407.2,10326.23,10325.08 "vkpeak 20210424 - fp64-scalar", Higher Results Are Better "GTX 1660 Super",165.97,165.99,165.94 "vkpeak 20210424 - fp64-vec4", Higher Results Are Better "GTX 1660 Super",165.92,165.76,165.72 "vkpeak 20210424 - int32-scalar", Higher Results Are Better "GTX 1660 Super",5279.89,5279.12,5279.02 "vkpeak 20210424 - int32-vec4", Higher Results Are Better "GTX 1660 Super",5252.81,5253.88,5253.59 "vkpeak 20210424 - int16-scalar", Higher Results Are Better "GTX 1660 Super",3461.48,3487.33,3461.58 "vkpeak 20210424 - int16-vec4", Higher Results Are Better "GTX 1660 Super",4385.42,4385.79,4385.11 "RealSR-NCNN 20200818 - Scale: 4x - TAA: No", Lower Results Are Better "GTX 1660 Super",18.535,18.647,18.58 "RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes", Lower Results Are Better "GTX 1660 Super",126.481,126.828,126.831 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "GTX 1660 Super",2.045,2.002 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "GTX 1660 Super",7.429,7.441,7.442 "VkFFT 1.1.1 - ", Higher Results Are Better "GTX 1660 Super",20284,20122,20351 "Hashcat 6.2.4 - Benchmark: MD5", Higher Results Are Better "GTX 1660 Super",17551400000,17534000000,17686600000 "Hashcat 6.2.4 - Benchmark: SHA1", Higher Results Are Better "GTX 1660 Super",5848900000,5861800000,5838100000 "Hashcat 6.2.4 - Benchmark: 7-Zip", Higher Results Are Better "GTX 1660 Super",301200,301800,301400 "Hashcat 6.2.4 - Benchmark: SHA-512", Higher Results Are Better "GTX 1660 Super",837900000,843900000,844100000 "Hashcat 6.2.4 - Benchmark: TrueCrypt RIPEMD160 + XTS", Higher Results Are Better "GTX 1660 Super",221900,222400,221300 "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Integer", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Integer", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Double Precision", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: OpenCL - Benchmark: Single Precision", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Half Precision", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Double Precision", Higher Results Are Better "GTX 1660 Super", "Mixbench 2020-06-23 - Backend: NVIDIA CUDA - Benchmark: Single Precision", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: S3D", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Triad", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: FFT SP", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: MD5 Hash", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Reduction", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: GEMM SGEMM_N", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Max SP Flops", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Download", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Bus Speed Readback", Higher Results Are Better "GTX 1660 Super", "SHOC Scalable HeterOgeneous Computing 2020-04-17 - Target: OpenCL - Benchmark: Texture Read Bandwidth", Higher Results Are Better "GTX 1660 Super", "Libplacebo 2.72.2 - ", Higher Results Are Better "GTX 1660 Super", "cl-mem 2017-01-13 - Benchmark: Copy", Higher Results Are Better "GTX 1660 Super",240.7,240.9,240.9 "cl-mem 2017-01-13 - Benchmark: Read", Higher Results Are Better "GTX 1660 Super",297.2,296.9,297.2 "cl-mem 2017-01-13 - Benchmark: Write", Higher Results Are Better "GTX 1660 Super",245.3,244.6,248 "NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "GTX 1660 Super",0.237323,0.247102,0.246854 "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "GTX 1660 Super",9.69,9.641,9.698 "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "GTX 1660 Super",13.95,13.982,13.966 "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "GTX 1660 Super",469.395,467.857,467.103 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "GTX 1660 Super",29.871,29.826,29.941 "OctaneBench 2020.1 - Total Score", Higher Results Are Better "GTX 1660 Super", "RedShift Demo 3.0 - ", Lower Results Are Better "GTX 1660 Super", "FAHBench 2.3.2 - ", Higher Results Are Better "GTX 1660 Super",137.1826,137.1111,137.1601 "LeelaChessZero 0.28 - Backend: OpenCL", Higher Results Are Better "GTX 1660 Super",13118,12988,13026 "ArrayFire 3.7 - Test: Conjugate Gradient OpenCL", Lower Results Are Better "GTX 1660 Super",2.619,2.629,2.619 "LuxCoreRender 2.5 - Scene: DLSC - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",2.09,2.1,2.09 "LuxCoreRender 2.5 - Scene: Danish Mood - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",0.04,0.04,0.04 "LuxCoreRender 2.5 - Scene: Orange Juice - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",0.28,0.28,0.28 "LuxCoreRender 2.5 - Scene: LuxCore Benchmark - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",0.04,0.04,0.04 "LuxCoreRender 2.5 - Scene: Rainbow Colors and Prism - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",6.86,6.85,6.82 "FinanceBench 2016-07-25 - Benchmark: Black-Scholes OpenCL", Lower Results Are Better "GTX 1660 Super",23.638,23.976,23.851999 "ViennaCL 1.7.1 - Test: CPU BLAS - sCOPY", Higher Results Are Better "GTX 1660 Super",20,20,19.2 "ViennaCL 1.7.1 - Test: CPU BLAS - sAXPY", Higher Results Are Better "GTX 1660 Super",30,28.3,29.8 "ViennaCL 1.7.1 - Test: CPU BLAS - sDOT", Higher Results Are Better "GTX 1660 Super",31,32.9,32.9 "ViennaCL 1.7.1 - Test: CPU BLAS - dCOPY", Higher Results Are Better "GTX 1660 Super",19,19,18.2 "ViennaCL 1.7.1 - Test: CPU BLAS - dAXPY", Higher Results Are Better "GTX 1660 Super",27.3,27.3,28.5 "ViennaCL 1.7.1 - Test: CPU BLAS - dDOT", Higher Results Are Better "GTX 1660 Super",31.3,30.6,31.2 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-N", Higher Results Are Better "GTX 1660 Super",33.4,31.9,33.5 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-T", Higher Results Are Better "GTX 1660 Super",31.7,33.5 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NN", Higher Results Are Better "GTX 1660 Super",23.3,23.3,23.2 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NT", Higher Results Are Better "GTX 1660 Super",22.6,22.6,22.4 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TN", Higher Results Are Better "GTX 1660 Super",23.8,23.9,23.8 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TT", Higher Results Are Better "GTX 1660 Super",21.7,21.7,21.1 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sCOPY", Higher Results Are Better "GTX 1660 Super",220,220,220 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sAXPY", Higher Results Are Better "GTX 1660 Super",247,247,247 "ViennaCL 1.7.1 - Test: OpenCL BLAS - sDOT", Higher Results Are Better "GTX 1660 Super",226,226,225 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dCOPY", Higher Results Are Better "GTX 1660 Super",280,280,281 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dAXPY", Higher Results Are Better "GTX 1660 Super",292,292,292 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dDOT", Higher Results Are Better "GTX 1660 Super",308,308,308 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-T", Higher Results Are Better "GTX 1660 Super",277,277,276 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NN", Higher Results Are Better "GTX 1660 Super",161,161,160 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMM-NT", Higher Results Are Better "GTX 1660 Super",160,160,159 "ViennaCL 1.7.1 - Test: OpenCL BLAS - dGEMV-N", Higher Results Are Better "GTX 1660 Super", "GROMACS 2021.2 - Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare", Higher Results Are Better "GTX 1660 Super",4.219,4.191,4.212 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "GTX 1660 Super", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "GTX 1660 Super", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "GTX 1660 Super", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100", Lower Results Are Better "GTX 1660 Super", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200", Lower Results Are Better "GTX 1660 Super", "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000", Lower Results Are Better "GTX 1660 Super", "NCNN 20210720 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "GTX 1660 Super",5.52,5.38,5.56 "NCNN 20210720 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "GTX 1660 Super",1.87,2.05,1.84 "NCNN 20210720 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "GTX 1660 Super",2.67,2.66,2.86 "NCNN 20210720 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "GTX 1660 Super",1.91,1.76,1.7 "NCNN 20210720 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "GTX 1660 Super",1.92,1.97,1.88 "NCNN 20210720 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "GTX 1660 Super",3.62,3.95,3.68 "NCNN 20210720 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "GTX 1660 Super",0.97,0.93,0.93 "NCNN 20210720 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "GTX 1660 Super",4.19,4.41,4.41 "NCNN 20210720 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "GTX 1660 Super",14.05,14.23,14.14 "NCNN 20210720 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "GTX 1660 Super",2.8,2.58,2.63 "NCNN 20210720 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "GTX 1660 Super",3.1,3.08,3.13 "NCNN 20210720 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "GTX 1660 Super",5.39,5.51,5.35 "NCNN 20210720 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "GTX 1660 Super",9.61,9.6,9.59 "NCNN 20210720 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "GTX 1660 Super",5.45,5.47,5.15 "NCNN 20210720 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "GTX 1660 Super",2.5,2.35,2.4 "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GTX 1660 Super", "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL", Higher Results Are Better "GTX 1660 Super", "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GTX 1660 Super", "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL", Higher Results Are Better "GTX 1660 Super", "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL", Higher Results Are Better "GTX 1660 Super", "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Bedroom", Higher Results Are Better "GTX 1660 Super",4.697,4.685,4.677 "IndigoBench 4.4 - Acceleration: OpenCL GPU - Scene: Supercar", Higher Results Are Better "GTX 1660 Super",15.139,15.167,15.172 "Blender 2.92 - Blend File: BMW27 - Compute: CUDA", Lower Results Are Better "GTX 1660 Super",88.53,88.64,88.67 "Blender 2.92 - Blend File: Classroom - Compute: CUDA", Lower Results Are Better "GTX 1660 Super",331.9,331.96,332 "Blender 2.92 - Blend File: Fishy Cat - Compute: CUDA", Lower Results Are Better "GTX 1660 Super",174.75,174.96,174.87 "Blender 2.92 - Blend File: Barbershop - Compute: CUDA", Lower Results Are Better "GTX 1660 Super",1162.69,1163.19,1163.65 "Blender 2.92 - Blend File: BMW27 - Compute: NVIDIA OptiX", Lower Results Are Better "GTX 1660 Super",139.03,78.07,77.8,78.07,77.83,78.07,78.05,77.73,78.08,78,78.15,77.82,78.07,77.98,77.93 "Blender 2.92 - Blend File: Classroom - Compute: NVIDIA OptiX", Lower Results Are Better "GTX 1660 Super",277.49,277.51,277.48 "Blender 2.92 - Blend File: Fishy Cat - Compute: NVIDIA OptiX", Lower Results Are Better "GTX 1660 Super",234.97,174.04,173.93,174.02,174.08,175.05,175.13,174.88,174.84,174.91,174.97,174.99 "Blender 2.92 - Blend File: Barbershop - Compute: NVIDIA OptiX", Lower Results Are Better "GTX 1660 Super",2708.42,2709.12,2708.29 "Blender 2.92 - Blend File: Pabellon Barcelona - Compute: CUDA", Lower Results Are Better "GTX 1660 Super",663.73,663.77,663.59 "Blender 2.92 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX", Lower Results Are Better "GTX 1660 Super",472.54,472.62,472.73 "MandelGPU 1.3pts1 - OpenCL Device: GPU", Higher Results Are Better "GTX 1660 Super",181789410.3,182004543.6,182093098.1 "clpeak - OpenCL Test: Integer Compute INT", Higher Results Are Better "GTX 1660 Super",4725.26,4306.74,4361.17,4437.47,4518.68,4571.46,4732.77,4284.58,4348.23,4413.87,4550.96,4655.81,4714.76,4304.62,4333.74 "clpeak - OpenCL Test: Single-Precision Float", Higher Results Are Better "GTX 1660 Super",4280.09,4325.55,4430.56 "clpeak - OpenCL Test: Double-Precision Double", Higher Results Are Better "GTX 1660 Super",168.58,167.65,167.26 "clpeak - OpenCL Test: Global Memory Bandwidth", Higher Results Are Better "GTX 1660 Super",276.2,276.7,276.99 "NeatBench 5 - Acceleration: GPU", Higher Results Are Better "GTX 1660 Super",1660,1660,1660