Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2101076-HA-HPZBOOK6247
HP Zbook,
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time",
Lower Results Are Better
"r1",
"r2",
"r3",
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap - Total Frame Time",
Lower Results Are Better
"r1",
"r2",
"r3",
"CLOMP 1.2 - Static OMP Speedup",
Higher Results Are Better
"r1",3.8,3.7,3.7
"r2",2.8,2.6,2.6,2.5,2.5,2.5,2.5,2.4,2.6,2.4,2.4,2.6,2.4,2.4,2.5
"r3",3.8,3.5,3.8,3.6,3.5,3.6,3.6,3.6,3.5,3.5,3.7,3.8,3.7,3.6,3.5
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"r1",302.025,323.48,323.654,324.495,324.256,324.564,323.909,324.977
"r2",293.982,295.958,296.7
"r3",299.71,299.797,298.68
"Redis 6.0.9 - Test: GET",
Higher Results Are Better
"r1",3290631.75,3289789.5,3165367
"r2",2985361,3021824.75,3030496.75
"r3",3012241,3021631.5,2994107.75
"ViennaCL 1.4.2 - OpenCL LU Factorization",
Higher Results Are Better
"r1",68.482,68.804,67.5912
"r2",64.3793,64.1993,64.1219
"r3",66.2096,65.06,66.4843
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"r1",25.629,26.899,26.611,26.758
"r2",26.98,27.341,26.979,27.41
"r3",27.659,27.699,27.667,27.827
"RNNoise 2020-06-28 - ",
Lower Results Are Better
"r1",21.975,22.176,22.101
"r2",21.3,21.257,21.391
"r3",22.009,22.064,22.059
"ASTC Encoder 2.0 - Preset: Fast",
Lower Results Are Better
"r1",5.53,5.41,5.37
"r2",5.44,5.62,5.7
"r3",5.34,5.6,5.74,5.42,5.53,5.72,5.72,5.67,5.75,5.54,5.74,5.74
"PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL",
Higher Results Are Better
"r1",463.34,463.96,462.71
"r2",480.56,477.68,473.94
"r3",484.34,476.89,474.97
"Monkey Audio Encoding 3.99.6 - WAV To APE",
Lower Results Are Better
"r1",10.572,10.488,10.57,10.514,10.416
"r2",10.929,10.995,10.802,10.792,10.786
"r3",10.566,10.594,10.56,10.595,10.644
"GraphicsMagick 1.3.33 - Operation: Rotate",
Higher Results Are Better
"r1",907,900,899
"r2",881,871,872
"r3",904,898,899
"Cryptsetup - PBKDF2-sha512",
Higher Results Are Better
"r1",1920468,1906501,1931079
"r2",1945410,1941807,1941807
"r3",1865793,1882542,1909974
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"r1",270.001,274.581,274.138
"r2",264.72,265.085,265.039
"r3",272.515,272.92,272.593
"LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed",
Higher Results Are Better
"r1",58.44,58.53,55.45,58.41,58.56
"r2",58.48,57.06,56.55
"r3",59.39,57.93,59.36
"LevelDB 1.22 - Benchmark: Hot Read",
Lower Results Are Better
"r1",6.93,6.936,6.971
"r2",7.092,6.972,7.232
"r3",7.226,7.089,7.069
"Redis 6.0.9 - Test: LPUSH",
Higher Results Are Better
"r1",2057613.12,1992350.75,2075286.38
"r2",2045251.62,2150537.5,2084000,2096436.12
"r3",2096503.12,2066446.25,2087749.5
"NCNN 20201218 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"r1",19.29,19.1,19.1
"r2",18.44,19.05,19.24
"r3",19.19,19.53,19.43
"Redis 6.0.9 - Test: SET",
Higher Results Are Better
"r1",2398388.5,2341995.5,2387016.75
"r2",2409638.5,2421462.5,2409870
"r3",2445379,2433635,2421617.5
"Cryptsetup - PBKDF2-whirlpool",
Higher Results Are Better
"r1",825650,809086,814111
"r2",833526,825650,830884
"r3",805357,812849,812849
"NCNN 20201218 - Target: CPU - Model: blazeface",
Lower Results Are Better
"r1",2.53,2.54,2.54
"r2",2.7,2.55,2.54
"r3",2.62,2.55,2.55
"LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed",
Higher Results Are Better
"r1",53.88,55.8,57.22,55.03,56.67
"r2",55.73,56.79,55.68
"r3",57.56,55.7,57.78
"Stockfish 12 - Total Time",
Higher Results Are Better
"r1",9535933,9596402,10044545,10014540,9625320,9395707,9867444,9545170
"r2",9903266,9945094,9669517
"r3",9442614,9935674,9374628,9735413,10037550,9823374,9409842,9564952,9412595,9347765,9750617,9717215
"Hashcat 6.1.1 - Benchmark: 7-Zip",
Higher Results Are Better
"r1",375500,370500,375000
"r2",371400,373000,366800
"r3",368500,371500,359300
"LevelDB 1.22 - Benchmark: Fill Sync",
Lower Results Are Better
"r1",3311.586,3347.362,3426.383
"r2",3387.405,3474.817,3412.532
"r3",3502.788,3301.228,3354.237
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",2.71987,2.73328,2.7236
"r2",2.75958,2.80722,2.76329
"r3",2.75427,2.7422,2.74974
"Cryptsetup - AES-XTS 256b Encryption",
Higher Results Are Better
"r1",4007.5,4007,4002.3
"r2",4030,4095.7,4115.8
"r3",3996.1,4010.5,4062.3
"LeelaChessZero 0.26 - Backend: OpenCL",
Higher Results Are Better
"r1",13570,13245,13017
"r2",13526,12986,13006
"r3",13459,13463,13327
"Timed Eigen Compilation 3.3.9 - Time To Compile",
Lower Results Are Better
"r1",68.429,68.882,68.921
"r2",67.034,67.524,68.072
"r3",68.286,69.044,68.766
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",7.06295,7.22321,7.21108
"r2",5.77555,7.1307,7.17695,7.14199,7.17719,7.13253,7.16294,7.17816,7.11605,7.15641,7.25624,7.12382
"r3",7.08635,7.16893,7.18193
"OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"r1",1.18,1.17,1.17
"r2",1.19,1.19,1.19,1.19
"r3",1.18,1.19,1.19,1.18,1.19,1.19
"OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU",
Higher Results Are Better
"r1",3433.33,3333.71,3323.61
"r2",3439.4,3266.77,3264.07,3280.94,3286.49
"r3",3468.96,3310.04,3290.23,3322.49
"OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU",
Lower Results Are Better
"r1",1.21,1.21,1.21
"r2",1.22,1.23,1.23,1.23,1.22
"r3",1.21,1.22,1.22,1.21
"Mobile Neural Network 2020-09-17 - Model: inception-v3",
Lower Results Are Better
"r1",62.134,63.62,62.32,62.29,62.471,62.282,62.293,62.582,63.286,62.402
"r2",63.909,62.383,62.471,63.841,62.688,64.167,63.341,62.807,62.94,62.912,63.517
"r3",63.266,63.475,64.139,63.229,64.423,64.157,62.779,64.461,62.364,63.335
"NCNN 20201218 - Target: CPU - Model: resnet50",
Lower Results Are Better
"r1",37.34,37.26,38.82
"r2",37.35,37.3,37.25
"r3",37.2,37.32,37.15
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"r1",18.62,18.63,18.62
"r2",17.65,18.6,18.75
"r3",17.84,18.62,18.68
"SQLite Speedtest 3.30 - Timed Time - Size 1,000",
Lower Results Are Better
"r1",49.046,49.836,49.759
"r2",49.94,50.493,50.37
"r3",50.001,50.408,50.375
"Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest",
Lower Results Are Better
"r1",8.781,7.945,7.927,7.919,7.987,7.971,7.965,7.923,7.986,7.961,7.948,7.944,7.95
"r2",7.905,7.886,7.946
"r3",7.867,7.896,7.947
"clpeak - OpenCL Test: Single-Precision Float",
Higher Results Are Better
"r1",5486.06,6347.95,5570.62,6368.48,5786.58,5938.41,6123.38,5593.1,6304.64,5982.77,5803.85,6208.71,5486.85,6309.29,5798.87
"r2",5747.86,5857.37,5969.74
"r3",5804.48,5906.14,5967.49
"GraphicsMagick 1.3.33 - Operation: Sharpen",
Higher Results Are Better
"r1",73,72,72
"r2",73,72,71
"r3",74,72,72
"Cryptsetup - AES-XTS 512b Encryption",
Higher Results Are Better
"r1",3347.2,3352,3341.1
"r2",3354.1,3383.3,3408.4
"r3",3330.4,3294.7,3382.9
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"r1",9.2972,9.0725,9.0332
"r2",9.3017,9.2202,9.257
"r3",9.4579,9.0533,9.079
"Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes",
Lower Results Are Better
"r1",6.029,6.016,6.016
"r2",6.104,6.112,6.089
"r3",6.072,6.109,6.098
"Warsow 2.5 Beta - Resolution: 1920 x 1080",
Higher Results Are Better
"r1",804.8,969.6,974.4,961.6,968.4,974.4,969.4,964.9,966.2,975.4,968.9,969.6
"r2",970.6,967.4,965.6
"r3",967.5,972.1,966.1
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap",
Higher Results Are Better
"r1",435.58824528987,435.27631645107,434.74692011283
"r2",432.24462737468,423.9122170827,431.96699066382
"r3",431.98088061258,439.13102447441,431.59865337208
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"r1",7.2361,6.9631,7.0214
"r2",7.1861,6.916,6.8503,6.9653
"r3",7.2873,6.9616,6.9346,6.8435,6.961
"simdjson 0.7.1 - Throughput Test: Kostya",
Higher Results Are Better
"r1",0.75,0.76,0.76
"r2",0.75,0.75,0.75
"r3",0.75,0.75,0.76
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",12.4489,12.4962,12.4712
"r2",12.3715,12.4731,12.4895
"r3",12.5548,12.6133,12.6586
"Cryptsetup - AES-XTS 256b Decryption",
Higher Results Are Better
"r1",4007.8,4006.9,3992.6
"r2",4023,4060.3,4081.9
"r3",4002.8,4023.2,4054.6
"asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth",
Higher Results Are Better
"r1",16136617,16180429,15637111
"r2",16270851,15824449,15828532
"r3",16370650,15900882,16270491
"Rodinia 3.1 - Test: OpenCL Particle Filter",
Lower Results Are Better
"r1",7.243,7.063,7.038
"r2",7.032,7.054,7.078
"r3",6.998,7.055,7.027
"Redis 6.0.9 - Test: SADD",
Higher Results Are Better
"r1",2688172,2688946.25,2604500
"r2",2653283.75,2639113.5,2415536.25,2667008,2652604.75,2611384,2710114,2710374,2717391.25,2618387.5,2660000,2445144.25,2617884.75,2584971.5,2717391.25
"r3",2639451.25,2680965.25,2584310
"Cryptsetup - AES-XTS 512b Decryption",
Higher Results Are Better
"r1",3347.8,3350.6,3346.5
"r2",3370.3,3390.2,3404.9
"r3",3340.4,3362.8,3385.5
"Unigine Superposition 1.0 - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL",
Higher Results Are Better
"r1",25.2,25,25.1
"r2",25.4,25.3,25.4
"r3",25.3,25.3,25.2
"simdjson 0.7.1 - Throughput Test: PartialTweets",
Higher Results Are Better
"r1",0.86,0.87,0.86
"r2",0.86,0.87,0.89
"r3",0.86,0.86,0.86
"OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"r1",3509.89,3404.42,3414.04
"r2",3517.97,3358.96,3375.72,3361.15
"r3",3575.77,3369.29,3365.53,3382.91,3370.42,3371.6
"NCNN 20201218 - Target: CPU - Model: googlenet",
Lower Results Are Better
"r1",19.96,19.98,20.01
"r2",20.16,19.92,19.95
"r3",20.25,20.1,20.28
"GROMACS 2020.3 - Water Benchmark",
Higher Results Are Better
"r1",0.62,0.612,0.619
"r2",0.61,0.616,0.603
"r3",0.615,0.617,0.61
"simdjson 0.7.1 - Throughput Test: DistinctUserID",
Higher Results Are Better
"r1",0.88,0.89,0.89
"r2",0.89,0.88,0.88
"r3",0.88,0.88,0.88
"Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest",
Lower Results Are Better
"r1",6.598,5.736,5.771,5.8,5.743,5.784,5.794,5.781,5.819,5.791,5.835,5.793
"r2",5.773,5.798,5.796
"r3",5.799,5.748,5.83
"Cryptsetup - Twofish-XTS 256b Encryption",
Higher Results Are Better
"r1",481.9,480.8,483.4
"r2",485.2,488.4,488.5
"r3",479.3,483.5,488
"GEGL - Operation: Reflect",
Lower Results Are Better
"r1",27.599,28.453,28.496
"r2",27.89,28.788,28.809
"r3",27.872,28.603,28.464
"Hashcat 6.1.1 - Benchmark: TrueCrypt RIPEMD160 + XTS",
Higher Results Are Better
"r1",303800,300500,299400
"r2",300900,303100,300300
"r3",297400,297800,299200
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",8.88038,9.01364,9.00943
"r2",8.97562,9.03473,9.01041
"r3",8.91468,8.99418,9.28998
"Mobile Neural Network 2020-09-17 - Model: resnet-v2-50",
Lower Results Are Better
"r1",54.627,59.247,58.383,58.505,58.431,58.426,58.483,58.46,58.672,58.38
"r2",55.143,58.575,58.578,59.046,58.755,59.404,59.219,58.688,58.506,58.836,59.075
"r3",55.256,59.193,59.476,58.882,59.385,59.359,59.051,59.587,58.672,59.001
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"r1",9.63,10.684,10.511,10.635,10.525,10.726,10.511,10.583,10.616,10.503,10.601,10.434
"r2",9.279,10.546,10.589,10.583,11.085,10.547,10.565,10.68,10.672,10.543,10.504,10.602,10.624,11.133,10.511
"r3",9.431,10.697,10.666,10.69,10.592,10.484,10.636,10.932,10.753,10.607,11.019,10.777,10.64,10.583
"NCNN 20201218 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"r1",35.43,35.52,36.9
"r2",35.5,35.64,35.64
"r3",35.64,35.65,35.7
"PHPBench 0.8.1 - PHP Benchmark Suite",
Higher Results Are Better
"r1",845695,830669,837368
"r2",829341,830323,837588
"r3",828740,829605,830769
"RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes",
Lower Results Are Better
"r1",99.36,99.678,100.398
"r2",99.715,100.794,101.342
"r3",100.164,100.719,101.361
"VkResample 1.0 - Upscale: 2x - Precision: Single",
Lower Results Are Better
"r1",24.959,25.001,25.016
"r2",25.104,25.264,25.201
"r3",25.217,25.088,25.371
"Node.js V8 Web Tooling Benchmark - ",
Higher Results Are Better
"r1",13.29,12.81,13.08
"r2",12.95,13.25,13.32
"r3",13.32,13.25,12.96
"Crafty 25.2 - Elapsed Time",
Higher Results Are Better
"r1",9412343,9514052,9565846
"r2",9595008,9586844,9570591
"r3",9532041,9558578,9589418
"Unigine Superposition 1.0 - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL",
Higher Results Are Better
"r1",66.3,65.8,65.7
"r2",66.7,66.4,66.3
"r3",66.4,66.2,66.1
"OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU",
Lower Results Are Better
"r1",4967.73,4966.15,4952.08
"r2",4975.86,4946.18,5012.71
"r3",4998.61,5013.05,5007.37
"Basis Universal 1.12 - Settings: UASTC Level 0",
Lower Results Are Better
"r1",7.213,7.445,7.206
"r2",7.465,7.298,7.271
"r3",7.261,7.542,7.255
"Cryptsetup - Serpent-XTS 512b Encryption",
Higher Results Are Better
"r1",879.2,876.4,878.4
"r2",880.6,883.6,882
"r3",866.8,874.9,881.5
"GEGL - Operation: Crop",
Lower Results Are Better
"r1",8.402,8.566,8.969,8.91,8.919,9.109,9.002,9.023,8.975,9.011,9.017
"r2",8.364,8.585,8.951,8.963,8.905,8.886,8.922,9.027,8.952
"r3",8.362,8.626,8.994,8.95,8.914,8.913,8.915,8.931
"Cryptsetup - Serpent-XTS 256b Encryption",
Higher Results Are Better
"r1",875.9,873.2,873.1
"r2",879.1,881.6,883.4
"r3",869.1,875.1,878.2
"OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU",
Higher Results Are Better
"r1",1.28,1.25,1.25
"r2",1.31,1.25,1.25,1.25
"r3",1.3,1.25,1.25
"Cryptsetup - Twofish-XTS 256b Decryption",
Higher Results Are Better
"r1",483.2,482.3,482.1
"r2",483.4,487.6,487.8
"r3",479.7,482.1,487.2
"Cryptsetup - Serpent-XTS 512b Decryption",
Higher Results Are Better
"r1",874,871.4,869.6
"r2",875.9,879.9,878.4
"r3",865.4,875.5,879.7
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",18.0123,17.9654,18.0464
"r2",17.9585,18.0005,17.7514
"r3",18.0264,18.004,18.0675
"TensorFlow Lite 2020-08-23 - Model: NASNet Mobile",
Lower Results Are Better
"r1",296316,305556,305911
"r2",300704,306802,306761
"r3",301523,305582,305133
"ArrayFire 3.7 - Test: Conjugate Gradient OpenCL",
Lower Results Are Better
"r1",2.575,2.548,2.524
"r2",2.574,2.514,2.505
"r3",2.551,2.577,2.516
"Cryptsetup - Twofish-XTS 512b Encryption",
Higher Results Are Better
"r1",482.7,483.3
"r2",484.9,486,488.2
"r3",480.6,483,487.8
"dav1d 0.8.1 - Video Input: Chimera 1080p",
Higher Results Are Better
"r1",564.13,485.08,484.82,482.82,485.76,483.81,482.71,482.67,485.21,483.98,485.23,480.78,487.2,483.59
"r2",525.02,486.13,481.54,484.28,485.96,485.91,483.55,482.88,480.99,480.45,484.31,483.51,479.98,485.9
"r3",525.93,485.73,482.29,483.8,481.57,486.34,481.02,484.53,487.16,483.81,483.73,486.85,485.65
"GraphicsMagick 1.3.33 - Operation: Noise-Gaussian",
Higher Results Are Better
"r1",149,145,145
"r2",149,146,146
"r3",149,145,146
"Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz",
Lower Results Are Better
"r1",15.843,16.079,15.974,16.216
"r2",15.919,16.062,16.361,16.207
"r3",15.826,15.892,16.382,16.313
"VkFFT 1.1.1 - ",
Higher Results Are Better
"r1",25695,25897,25867
"r2",25578,25600,25764
"r3",25467,25780,25803
"GEGL - Operation: Tile Glass",
Lower Results Are Better
"r1",27.533,28.542,28.653
"r2",27.7,28.486,28.539
"r3",27.27,28.445,28.449
"ASTC Encoder 2.0 - Preset: Thorough",
Lower Results Are Better
"r1",53.22,54.79,54.86
"r2",53.3,54.95,54.89
"r3",53.81,55.08,55.05
"GEGL - Operation: Scale",
Lower Results Are Better
"r1",6.359,6.956,7.066,6.954,7.056,7.035,7.044,6.999,6.971,7.02,7.013,6.97
"r2",6.285,6.968,7.06,7.026,6.983,6.994,7.171,7,7.055,7.011,7.068,7,7.027
"r3",6.296,6.959,7.048,7.077,7.008,7.089,7.134,6.982,7.041,7.033,7.078,7.048,7.099,7.114
"clpeak - OpenCL Test: Integer Compute INT",
Higher Results Are Better
"r1",5696.6,5170.52,5435.68,6102.47,5363.62,5155.92,5785.25,5575.3,5221.86,5583.32,5801.94,5220.73,5606.06,5612.41,5233.55
"r2",5658.98,5173.66,5421.18,6080.53,5194.24,5654.28,5694.06,5125.85,5324.79,5967.41,5306.17,5313.43,6031.66,5415.36,5429.31
"r3",6060.17,5240.53,5294.84,5589.96,5845.05,5310.64,5203.34,5722.22,5620.08,5145.44,5619.13,5875.95,5213.82,5336.37,6029.06
"Cryptsetup - Serpent-XTS 256b Decryption",
Higher Results Are Better
"r1",872.2,869.5,875.1
"r2",874,879.2,876.5
"r3",862.8,875,874.8
"dav1d 0.8.1 - Video Input: Summer Nature 4K",
Higher Results Are Better
"r1",118.05,111.85,111.52,111.79,111.63,111.65
"r2",117.42,111.02,111.06,110.75,110.89,111.04
"r3",118.01,111.66,111.46,111.65,111.61,111.49
"cl-mem 2017-01-13 - Benchmark: Copy",
Higher Results Are Better
"r1",237,236.3,236.4
"r2",235.7,235.5,234.9
"r3",235.5,235.3,234.6
"Cryptsetup - Twofish-XTS 512b Decryption",
Higher Results Are Better
"r1",482.8,482.5,482.8
"r2",482.9,486.7,487.6
"r3",479,482.8,487.1
"Hashcat 6.1.1 - Benchmark: SHA-512",
Higher Results Are Better
"r1",1184500000,1017900000,1015700000,1011000000,1012600000,1009900000,1011200000,1008500000,1011700000,1009300000,1011400000,1009500000,1011100000,1009500000,1012700000
"r2",1025000000,1018700000,1016300000
"r3",1020300000,1016100000,1014000000
"Numpy Benchmark - ",
Higher Results Are Better
"r1",420.92,421.32,416.5
"r2",418.98,420.96,418.14
"r3",417.64,417.83,415.63
"NAMD CUDA 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"r1",0.218401,0.22236,0.222327
"r2",0.21286,0.225747,0.226274,0.224004,0.223019
"r3",0.213567,0.225106,0.224114,0.224047
"GEGL - Operation: Cartoon",
Lower Results Are Better
"r1",86.543,86.901,86.922
"r2",86.945,87.575,87.438
"r3",86.826,87.048,87.105
"LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed",
Higher Results Are Better
"r1",8131.14,8108.7,8122.16
"r2",8128.56,8119.19,8135.59
"r3",8089.58,8091.25,8056.72
"Hashcat 6.1.1 - Benchmark: SHA1",
Higher Results Are Better
"r1",8648200000,8549600000,8559500000
"r2",8579100000,8530100000,8524300000
"r3",8570900000,8527300000,8507800000
"NCNN 20201218 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"r1",15.49,15.38,15.46
"r2",15.61,15.46,15.51
"r3",15.58,15.41,15.5
"Embree 3.9.0 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"r1",6.2335,5.9948,6.0136
"r2",6.2463,6.0246,6.0258
"r3",6.1976,5.9982,5.9966
"Hashcat 6.1.1 - Benchmark: MD5",
Higher Results Are Better
"r1",24555400000,24236900000,24212300000
"r2",24402400000,24256700000,24121500000
"r3",24295400000,24149000000,24146300000
"Unigine Heaven 4.0 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL",
Higher Results Are Better
"r1",140.459,138.892,138.026
"r2",141.776,139.305,138.635
"r3",140.307,138.615,138.629
"Blender 2.90 - Blend File: Fishy Cat - Compute: CUDA",
Lower Results Are Better
"r1",168.73,168.83,169.06
"r2",167.85,167.85,168.18
"r3",167.98,168.14,168.11
"LevelDB 1.22 - Benchmark: Sequential Fill",
Higher Results Are Better
"r1",38.8,37,37.2,37
"r2",38.8,36.8,37,37.1
"r3",38.9,36.9,37,37.1,36.8
"RealSR-NCNN 20200818 - Scale: 4x - TAA: No",
Lower Results Are Better
"r1",14.747,14.74,14.716
"r2",14.485,14.712,14.772
"r3",14.481,14.79,14.812
"rav1e 0.4 Alpha - Speed: 10",
Higher Results Are Better
"r1",3.51,3.377,3.378
"r2",3.474,3.369,3.368
"r3",3.467,3.419,3.373
"Blender 2.90 - Blend File: Classroom - Compute: NVIDIA OptiX",
Lower Results Are Better
"r1",116.56,116.72,117.01
"r2",115.74,116.53,116.19
"r3",116.01,116.39,116.38
"LevelDB 1.22 - Benchmark: Seek Random",
Lower Results Are Better
"r1",11.338,12.574,12.685,12.608,13.056,12.839,12.555,12.7,12.893,12.857,12.523,12.928,12.968,12.88,13.003
"r2",11.281,12.638,12.576,12.842,12.759,12.668,12.507,12.957,12.987,12.84,12.623,12.607,12.934,12.58,12.64
"r3",11.469,12.571,12.987,12.614,13.086,12.543,12.613,12.538,12.889,12.858,12.487,12.957,12.912,12.497
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",4.3616,4.3599,4.36994
"r2",4.36271,4.38912,4.38374
"r3",4.38672,4.37506,4.39428
"NCNN 20201218 - Target: CPU - Model: resnet18",
Lower Results Are Better
"r1",18.66,18.62,18.58
"r2",18.62,18.77,18.73
"r3",18.68,18.68,18.61
"Timed Linux Kernel Compilation 5.4 - Time To Compile",
Lower Results Are Better
"r1",152.309,151.319,151.34
"r2",152.653,152.153,151.817
"r3",152.91,151.131,150.392
"Basis Universal 1.12 - Settings: UASTC Level 2",
Lower Results Are Better
"r1",54.403,55.989,56.106
"r2",54.927,56.057,56.242
"r3",54.608,56.314,56.375
"LevelDB 1.22 - Benchmark: Overwrite",
Lower Results Are Better
"r1",40.644,40.995,41.135
"r2",40.798,41.015,41.052
"r3",40.712,40.732,40.836
"NCNN 20201218 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"r1",27.45,27.56,27.91
"r2",27.45,27.53,27.54
"r3",27.71,27.55,27.64
"rav1e 0.4 Alpha - Speed: 5",
Higher Results Are Better
"r1",1.08,1.062,1.066
"r2",1.073,1.062,1.058
"r3",1.07,1.061,1.062
"LevelDB 1.22 - Benchmark: Overwrite",
Higher Results Are Better
"r1",43.5,43.2,43
"r2",43.3,43.1,43.1
"r3",43.4,43.4,43.3
"Blender 2.90 - Blend File: Classroom - Compute: CUDA",
Lower Results Are Better
"r1",250.83,250.76,250.75
"r2",251.98,251.86,251.85
"r3",251.7,251.86,251.83
"RedShift Demo 3.0 - ",
Lower Results Are Better
"r1",459,461,462
"r2",459,460,460
"r3",
"RawTherapee - Total Benchmark Time",
Lower Results Are Better
"r1",79.531,81.049,81.179
"r2",80.018,81.362,81.421
"r3",79.808,81.171,81.156
"Blender 2.90 - Blend File: Barbershop - Compute: CUDA",
Lower Results Are Better
"r1",734.55,734.59,735.3
"r2",731.15,732.01,731.84
"r3",732.29,733.72,733.06
"IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom",
Higher Results Are Better
"r1",0.941,0.936,0.94
"r2",0.938,0.938,0.937
"r3",0.936,0.935,0.933
"ASTC Encoder 2.0 - Preset: Exhaustive",
Lower Results Are Better
"r1",446.98,448.68,448.32
"r2",447.77,450.39,449.94
"r3",448.84,450.32,450.55
"Build2 0.13 - Time To Compile",
Lower Results Are Better
"r1",209.299,210.215,210.64
"r2",210.469,210.017,211.65
"r3",209.69,212.554,210.59
"IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar",
Higher Results Are Better
"r1",2.148,2.15,2.142
"r2",2.152,2.15,2.147
"r3",2.152,2.157,2.159
"cl-mem 2017-01-13 - Benchmark: Write",
Higher Results Are Better
"r1",215,215.5,216.6
"r2",215.6,215.2,216.1
"r3",214.6,214,215.7
"GEGL - Operation: Rotate 90 Degrees",
Lower Results Are Better
"r1",37.087,38.063,37.94
"r2",36.82,37.962,37.84
"r3",36.841,38.024,38.209
"Basis Universal 1.12 - Settings: ETC1S",
Lower Results Are Better
"r1",57.173,58.501,57.797
"r2",57.762,58.24,58.186
"r3",56.956,58.43,58.799
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",9.68782,9.84002,9.79999
"r2",9.69012,9.78052,9.82341
"r3",9.67523,9.79933,9.73741
"Unigine Superposition 1.0 - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL",
Higher Results Are Better
"r1",178.1,177.3,177.8
"r2",179.2,178.4,176.8
"r3",177.8,178.1,176.4
"GEGL - Operation: Color Enhance",
Lower Results Are Better
"r1",53.689,54.215,54.437
"r2",54.351,54.345,54.24
"r3",53.545,54.428,54.331
"TensorFlow Lite 2020-08-23 - Model: SqueezeNet",
Lower Results Are Better
"r1",349760,357484,357433
"r2",350881,358570,358651
"r3",351180,358855,358738
"LevelDB 1.22 - Benchmark: Sequential Fill",
Lower Results Are Better
"r1",45.619,47.864,47.59,47.866
"r2",45.575,48.133,47.798,47.64
"r3",45.528,47.943,47.778,47.719,48.108
"Darktable 3.0.1 - Test: Masskrug - Acceleration: CPU-only",
Lower Results Are Better
"r1",6.056,7.235,7.213,7.215,7.216,7.229,7.209,7.227,7.232,7.244,7.237,7.221
"r2",6.096,7.255,7.241,7.224,7.249,7.283,7.221,7.276,7.257,7.215,7.24,7.241
"r3",6.062,7.273,7.258,7.256,7.254,7.228,7.245,7.281,7.252,7.256,7.259,7.233
"NCNN 20201218 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"r1",26.44,26.46,26.95
"r2",26.63,26.62,26.64
"r3",26.53,26.5,26.56
"TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2",
Lower Results Are Better
"r1",4642680,4668010,4669900
"r2",4653140,4677190,4681370
"r3",4660680,4686200,4685540
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap",
Higher Results Are Better
"r1",412.796775152,415.40971905304,413.43435860263
"r2",410.0571875988,418.14802781514,409.09193683268
"r3",412.01827452922,405.03385971237,420.08212438376
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",21.7203,21.7637,21.5774
"r2",21.7097,21.5895,21.7983
"r3",21.5993,21.659,21.6047
"Zstd Compression 1.4.5 - Compression Level: 19",
Higher Results Are Better
"r1",28.9,28.7,28.9
"r2",28.7,28.8,28.6
"r3",28.8,28.7,28.9
"Inkscape - Operation: SVG Files To PNG",
Lower Results Are Better
"r1",21.064,20.937,20.987
"r2",21.085,21.005,21.053
"r3",21.073,21.018,21.112
"LevelDB 1.22 - Benchmark: Random Delete",
Lower Results Are Better
"r1",45.296,47.773,47.487,47.769,47.817
"r2",45.602,47.737,47.847,47.997
"r3",45.706,47.895,48.085,47.865
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",4.47423,4.45098,4.4417
"r2",4.50381,4.45284,4.45522
"r3",4.47004,4.45261,4.47703
"MandelGPU 1.3pts1 - OpenCL Device: GPU",
Higher Results Are Better
"r1",250154807.4,252076073.7,253728345.1
"r2",252555057.1,253100175.3,252824522.1
"r3",249927719.3,254404867.6,254135256.4
"BRL-CAD 7.30.8 - VGR Performance Metric",
Higher Results Are Better
"r1",
"r2",
"r3",
"LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed",
Higher Results Are Better
"r1",9682.3,9671,9676.9,9674.6,9676.8
"r2",9686.3,9637.2,9637.7
"r3",9686.5,9685,9684.2
"Darktable 3.0.1 - Test: Boat - Acceleration: CPU-only",
Lower Results Are Better
"r1",15.944,15.904,15.893
"r2",15.793,15.912,15.905
"r3",15.809,15.91,15.871
"NCNN 20201218 - Target: CPU - Model: vgg16",
Lower Results Are Better
"r1",71.87,71.91,72.5
"r2",71.93,71.85,71.94
"r3",72.06,71.87,71.64
"DeepSpeech 0.6 - Acceleration: CPU",
Lower Results Are Better
"r1",81.71764,81.05348,81.1144
"r2",80.99505,81.11699,81.10743
"r3",80.96071,81.07569,81.0831
"LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed",
Higher Results Are Better
"r1",9681,9684.2,9673.3,9679.7,9681
"r2",9695.6,9649.7,9649.2
"r3",9696.6,9693.9,9695.1
"LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed",
Higher Results Are Better
"r1",9828.2,9815.4,9826.1
"r2",9842.4,9842.1,9835.1
"r3",9818.9,9821.2,9789.8
"OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU",
Lower Results Are Better
"r1",3197.84,3203.01,3206.73
"r2",3206.89,3210.72,3204.86,3206.93
"r3",3216.72,3208.09,3211.49
"TensorFlow Lite 2020-08-23 - Model: Inception V4",
Lower Results Are Better
"r1",5152020,5167710,5169840
"r2",5153100,5178290,5173160
"r3",5163010,5178970,5192810
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant",
Lower Results Are Better
"r1",233345,238299,238503
"r2",233796,238662,238930
"r3",233791,239032,239394
"dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit",
Higher Results Are Better
"r1",89.03,85.1,85.06,85.11
"r2",88.98,84.79,84.56,84.98
"r3",89.02,84.71,85.1,84.96
"VkResample 1.0 - Upscale: 2x - Precision: Double",
Lower Results Are Better
"r1",257.174,256.479,256.948
"r2",257.284,256.984,256.919
"r3",258.007,257.503,257.335
"PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL",
Higher Results Are Better
"r1",1833.79,1815.62,1808.31
"r2",1820.45,1818.66,1830.06
"r3",1810.4,1808.15,1834.79
"Opus Codec Encoding 1.3.1 - WAV To Opus Encode",
Lower Results Are Better
"r1",7.656,7.623,7.606,7.62,7.613
"r2",7.616,7.595,7.596,7.598,7.605
"r3",7.619,7.645,7.61,7.606,7.601
"rav1e 0.4 Alpha - Speed: 1",
Higher Results Are Better
"r1",0.351,0.345,0.345
"r2",0.35,0.345,0.343
"r3",0.352,0.343,0.346
"Blender 2.90 - Blend File: Fishy Cat - Compute: NVIDIA OptiX",
Lower Results Are Better
"r1",60.3,60.35,60.41
"r2",60.11,60.2,60.23
"r3",60.03,60.26,60.45
"rav1e 0.4 Alpha - Speed: 6",
Higher Results Are Better
"r1",1.464,1.436,1.433
"r2",1.453,1.436,1.432
"r3",1.466,1.432,1.431
"Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"r1",10.623,10.706,10.647,10.616,10.63,10.654,10.66,10.69,10.624,10.605
"r2",10.692,10.671,10.67,10.6,10.684,10.686,10.737,10.736,10.649,10.641,10.658
"r3",10.714,10.608,10.642,10.662,10.665,10.654,10.642,10.66,10.685,10.646
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",7137.36,7137.75,7146.4
"r2",7167.17,7160.17,7150.93
"r3",7160.66,7155.64,7138.44
"Coremark 1.0 - CoreMark Size 666 - Iterations Per Second",
Higher Results Are Better
"r1",228402.845519,220163.287772,221678.289383
"r2",227089.937077,221279.734464,221545.278316
"r3",228310.502283,221642.463002,221724.368894
"GEGL - Operation: Wavelet Blur",
Lower Results Are Better
"r1",57.601,58.466,57.913
"r2",57.188,58.438,58.225
"r3",57.337,58.138,58.054
"NCNN 20201218 - Target: CPU - Model: alexnet",
Lower Results Are Better
"r1",15.44,15.4,15.65
"r2",15.54,15.42,15.43
"r3",15.52,15.44,15.52
"GraphicsMagick 1.3.33 - Operation: HWB Color Space",
Higher Results Are Better
"r1",785,771,769
"r2",785,767,769
"r3",785,772,771
"GEGL - Operation: Antialias",
Lower Results Are Better
"r1",35.658,36.906,37.104
"r2",35.866,36.887,36.917
"r3",35.896,36.928,37.115
"AI Benchmark Alpha 0.1.2 - Device Training Score",
Higher Results Are Better
"r1",
"r2",
"r3",
"Blender 2.90 - Blend File: Barbershop - Compute: NVIDIA OptiX",
Lower Results Are Better
"r1",1193.83,1192.65,1192.4
"r2",1188.59,1191.52,1190.04
"r3",1190.85,1190.73,1196.81
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"r1",37.3,37.21,37.25
"r2",37.45,37.31,37.26
"r3",37.27,37.25,37.26
"PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL",
Higher Results Are Better
"r1",1240.62,1249.25,1250.47
"r2",1247.67,1240.98,1246.2
"r3",1257.76,1243,1243.02
"LevelDB 1.22 - Benchmark: Random Fill",
Higher Results Are Better
"r1",43,42.8,43.5
"r2",43.5,43,42.9
"r3",43.3,43.1,43.1
"Unigine Superposition 1.0 - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL",
Higher Results Are Better
"r1",90.7,90.3,90.2
"r2",90.9,90.6,90.4
"r3",90.8,90.4,90.3
"NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"r1",27.56,27.61,27.56
"r2",27.49,27.5,27.56
"r3",27.51,27.56,27.59
"Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"r1",7.6473,7.4317,7.5874
"r2",7.6821,7.4344,7.5802
"r3",7.6655,7.408,7.5754
"OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU",
Lower Results Are Better
"r1",5050.47,5057.85,5100
"r2",5023.61,5100.32,5088.98,5111.12,5089.56,5055.22,5054.53,5105.18,5090.52
"r3",5034.75,5104.34,5056.51,5109.15,5060.7
"Blender 2.90 - Blend File: BMW27 - Compute: CUDA",
Lower Results Are Better
"r1",90.74,91.06,91.2
"r2",90.49,90.95,91.01
"r3",90.89,91.12,90.78
"NCNN 20201218 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"r1",72.06,71.9,71.91
"r2",71.83,71.75,71.88
"r3",71.88,71.88,71.82
"Timed FFmpeg Compilation 4.2.2 - Time To Compile",
Lower Results Are Better
"r1",98.99,100.088,101.692
"r2",99.616,100.766,100.809
"r3",99.606,100.574,100.429
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",7180.43,7144.71,7141.09
"r2",7159.01,7162.72,7156.72
"r3",7181.96,7164.41,7160.71
"Basis Universal 1.12 - Settings: UASTC Level 3",
Lower Results Are Better
"r1",109.744,111.447,111.324
"r2",109.825,111.377,111.575
"r3",109.974,111.601,111.546
"High Performance Conjugate Gradient 3.1 - ",
Higher Results Are Better
"r1",3.96207,3.96022,3.96301
"r2",3.9512,3.95669,3.97416
"r3",3.97847,3.94188,3.94335
"GraphicsMagick 1.3.33 - Operation: Resizing",
Higher Results Are Better
"r1",557,550,548
"r2",561,546,546
"r3",562,547,545
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Float",
Lower Results Are Better
"r1",235208,240380,241770
"r2",235584,241045,241043
"r3",236260,241140,241210
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"r1",3794.41,3797.58,3799.97
"r2",3799.41,3801.56,3797.39
"r3",3794.53,3790.24,3793.85
"Darktable 3.0.1 - Test: Server Room - Acceleration: CPU-only",
Lower Results Are Better
"r1",4.198,4.162,4.183
"r2",4.177,4.166,4.178
"r3",4.174,4.171,4.189
"yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080",
Higher Results Are Better
"r1",60.8,60.6,60.8
"r2",60.8,60.8,60.6
"r3",60.6,60.8,60.5
"Blender 2.90 - Blend File: Pabellon Barcelona - Compute: CUDA",
Lower Results Are Better
"r1",608.75,608.87,608.79
"r2",609.53,609.55,609.61
"r3",608.5,608.66,608.69
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"r1",7150.85,7137.39,7144.46
"r2",7152.86,7155.2,7155.92
"r3",7142.78,7150.25,7148.24
"Zstd Compression 1.4.5 - Compression Level: 3",
Higher Results Are Better
"r1",2846.8,2821.8,2832.2
"r2",2835.2,2814.4,2843.5
"r3",2841.9,2836,2827.5
"LevelDB 1.22 - Benchmark: Random Fill",
Lower Results Are Better
"r1",41.102,41.327,40.682
"r2",40.629,41.162,41.289
"r3",40.84,41.078,41.026
"AI Benchmark Alpha 0.1.2 - Device AI Score",
Higher Results Are Better
"r1",
"r2",
"r3",
"OctaneBench 2020.1 - Total Score",
Higher Results Are Better
"r1",
"r2",
"r3",
"cl-mem 2017-01-13 - Benchmark: Read",
Higher Results Are Better
"r1",330.6,330,330.4
"r2",329.9,329.7,330
"r3",329.9,329.9,330
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",3784.22,3807.62,3795.59
"r2",3801.08,3792.58,3807.57
"r3",3800.89,3801.78,3791.7
"Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing",
Lower Results Are Better
"r1",838.866,841.157,841.019
"r2",840.475,840.823,839.658
"r3",840.871,842.432,840.381
"Blender 2.90 - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX",
Lower Results Are Better
"r1",196.21,196.24,196.18
"r2",196.25,196.34,196.26
"r3",196.26,196.51,196.45
"dav1d 0.8.1 - Video Input: Summer Nature 1080p",
Higher Results Are Better
"r1",506.62,457.77,456.52,456.02,455.12,454.81,456.14,457.63,454.53,457.36,455,457.92,458.26,456.57
"r2",501.01,456.85,456.21,456.03,455.17,453.95,456.65,457.58,454.94,456.53,457.15,456.38,456.49
"r3",504.98,455.23,455.61,454.56,456.3,456.52,459.6,454.39,458.08,453.42,455.41,457.15,454.93
"FAHBench 2.3.2 - ",
Higher Results Are Better
"r1",186.1018,186.8793,186.4023
"r2",186.2618,186.4216,186.7498
"r3",186.6579,186.4023,186.7871
"PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL",
Higher Results Are Better
"r1",110.38,110.1,109.73
"r2",110.77,109.84,109.32
"r3",110.74,109.85,109.39
"NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"r1",26.56,26.52,26.48
"r2",26.56,26.53,26.5
"r3",26.65,26.44,26.43
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",3797.15,3790.14,3797.77
"r2",3792.15,3801.24,3797.75
"r3",3791,3804.04,3798.11
"OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU",
Lower Results Are Better
"r1",3167.36,3156.88,3171.48
"r2",3173.05,3159.64,3167.01
"r3",3172.29,3148.95,3172.28
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"r1",105.649,105.477,105.451
"r2",105.648,105.547,105.522
"r3",105.512,105.466,105.536
"clpeak - OpenCL Test: Global Memory Bandwidth",
Higher Results Are Better
"r1",325,323.99,324.91
"r2",324.89,324.01,324.83
"r3",325.05,324.22,325.08
"NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"r1",35.53,35.46,35.56
"r2",35.49,35.52,35.53
"r3",35.49,35.47,35.62
"clpeak - OpenCL Test: Double-Precision Double",
Higher Results Are Better
"r1",347.57,338.99,334.7
"r2",347.55,338.64,335.2
"r3",347.75,338.86,335.15
"FinanceBench 2016-06-06 - Benchmark: Black-Scholes OpenCL",
Lower Results Are Better
"r1",17.474001,17.479,17.48
"r2",17.475,17.476,17.476
"r3",17.476999,17.475,17.476999
"AI Benchmark Alpha 0.1.2 - Device Inference Score",
Higher Results Are Better
"r1",
"r2",
"r3",
"OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU",
Higher Results Are Better
"r1",0.8,0.78,0.78
"r2",0.84,0.78,0.78,0.78,0.78,0.79,0.78,0.78,0.79
"r3",0.82,0.78,0.78,0.78,0.79
"OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU",
Higher Results Are Better
"r1",0.81,0.8,0.8
"r2",0.82,0.79,0.79
"r3",0.82,0.79,0.79
"OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU",
Higher Results Are Better
"r1",1.31,1.27,1.27
"r2",1.3,1.27,1.27
"r3",1.3,1.27,1.26
"Darktable 3.0.1 - Test: Server Rack - Acceleration: CPU-only",
Lower Results Are Better
"r1",0.181,0.181,0.181
"r2",0.181,0.181,0.182
"r3",0.181,0.181,0.181
"GraphicsMagick 1.3.33 - Operation: Enhanced",
Higher Results Are Better
"r1",116,114,114
"r2",116,114,114
"r3",116,114,114
"GraphicsMagick 1.3.33 - Operation: Swirl",
Higher Results Are Better
"r1",219,205,205,206,205,205,206,205
"r2",221,205,204,205,205,206,205,206,205,205
"r3",219,205,205,205,205,206,205,206
"simdjson 0.7.1 - Throughput Test: LargeRandom",
Higher Results Are Better
"r1",0.5,0.5,0.5
"r2",0.5,0.5,0.5
"r3",0.5,0.5,0.5
"yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080",
Higher Results Are Better
"r1",
"r2",
"r3",
"yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080",
Higher Results Are Better
"r1",59.9,59.9,60
"r2",59.8,60,60
"r3",59.9,59.9,60
"LevelDB 1.22 - Benchmark: Fill Sync",
Higher Results Are Better
"r1",0.5,0.5,0.5
"r2",0.5,0.5,0.5
"r3",0.5,0.5,0.5
"NeatBench 5 - Acceleration: GPU",
Higher Results Are Better
"r1",25.4,31.1,25.5,31.1,25.3,28,25.6,28.5,28.1,25.6,28.6,25.4,30.8,25.4,28.2
"r2",30.6,25.4,31,25.3,28.3,25.5,26.2,26.5,25.5,28.2,26.4,27.9,25.5,27.9,26.5
"r3",29.5,25.4,29.7,25.3,30.3,25.6,30.5,25.4,30,25.4,28.5,26.3,25.3,30.9,25.4
"Blender 2.90 - Blend File: BMW27 - Compute: NVIDIA OptiX",
Lower Results Are Better
"r1",88.04,38.13,38.15,38.14,38.1,38.2,38.12,38.09,38.18,38.12,38.11,38.09,38.36,38.12,38.13
"r2",38.04,38.11,38.05
"r3",38.01,38.17,38.04
"NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"r1",19.33,19.05,19.1
"r2",13.49,18.94,19.03
"r3",14.07,19.42,19.32
"NCNN 20201218 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"r1",20.13,19.94,20.07
"r2",14.67,20.01,19.93
"r3",14.59,20.19,20.01
"NCNN 20201218 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"r1",2.58,2.53,2.54
"r2",1.76,2.54,2.56
"r3",1.79,2.54,2.54
"NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"r1",10.21,9.92,9.9
"r2",7.11,9.93,10.01
"r3",7.11,9.93,9.92
"NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"r1",6.64,6.63,6.63
"r2",4.44,6.56,6.59
"r3",4.39,6.64,6.69
"NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"r1",8.07,7.86,7.84
"r2",5.06,7.87,8.02
"r3",5.19,8.04,7.91
"NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"r1",4.51,6.38,6.34
"r2",4.43,6.35,6.42
"r3",4.53,6.44,6.47
"NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"r1",5.76,7.97,7.96
"r2",5.65,8.04,7.98
"r3",5.73,7.91,7.93
"NCNN 20201218 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"r1",10.1,9.97,9.92
"r2",7.14,10.07,9.94
"r3",7.14,9.98,10.05
"NCNN 20201218 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"r1",6.66,6.7,6.65
"r2",4.45,6.79,6.63
"r3",4.48,6.73,6.68
"NCNN 20201218 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"r1",7.97,7.87,7.96
"r2",5.08,7.91,7.87
"r3",5.13,7.92,8.05
"NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"r1",4.43,6.4,6.38
"r2",4.52,6.4,6.52
"r3",4.56,6.41,6.45
"NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"r1",5.97,7.94,8.02
"r2",5.76,7.92,7.99
"r3",5.77,7.97,7.96
"Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224",
Lower Results Are Better
"r1",3.35,5.497,5.391,5.424,5.507,5.475,5.42,5.452,5.437,5.432
"r2",3.442,5.428,5.439,5.47,5.476,5.517,5.518,5.459,5.466,5.522,5.462
"r3",3.413,5.445,5.522,5.526,5.551,5.531,5.436,5.545,5.397,5.481
"Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0",
Lower Results Are Better
"r1",5.548,9.272,9.254,9.176,9.334,9.293,9.25,9.317,9.245,9.302
"r2",5.822,9.263,9.21,9.29,9.283,9.323,9.34,9.326,9.303,9.271,9.373
"r3",5.596,9.29,9.35,9.317,9.378,9.322,9.344,9.406,9.212,9.228
"Redis 6.0.9 - Test: LPOP",
Higher Results Are Better
"r1",3436426,3322897,3424657.5
"r2",2105263.25,2109839.75,2097174
"r3",1678604,2028462.5,2114503.25,2096771.5,3279108,3125200,3116261.5,3067681,3268183,3267974,3334293.25,3333759.75
"ASTC Encoder 2.0 - Preset: Medium",
Lower Results Are Better
"r1",9.59,7.65,7.62,7.61,7.62,7.62,7.6,7.5,7.43,7.42,7.49,7.37,7.51,7.63,7.61
"r2",9,7.69,7.63,7.53,7.64,7.42,7.32,7.34,7.62,7.41,7.62,7.62,7.63,7.36,7.29
"r3",9.69,7.68,7.47,7.33,7.34,7.29,7.28,7.65,7.62,7.41,7.3,7.29,7.27,7.68,7.42
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",3.61247,4.83119,4.90285,4.81536,4.85508,4.85603,4.85017,4.80838,4.80251,4.84706,4.8248,4.96676
"r2",3.82685,4.44492,4.8,4.80139,4.82386,4.81027,4.82414,4.80183,4.82014,4.82044,4.80419,4.82062,4.69512,4.81525,4.80954
"r3",3.9431,4.11624,4.86362,4.82584,4.83556,4.84508,4.83971,4.825,4.85081,4.88,4.85225,4.84322,4.82118,4.85879,4.85875
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"r1",7.28293,10.0425,10.1474,10.1801,10.1046,10.0867,10.112,10.1131,10.1052,10.1514,10.0985,10.1227
"r2",8.07658,8.53305,10.0313,10.0592,9.96976,10.0072,10.059,9.92322,10.0034,9.97663,10.0563,9.91362,9.98311,9.98207,10.0807
"r3",7.33518,9.96589,10.0692,10.0521,10.0318,10.0676,10.0224,10.0428,10.0444,10.0019,10.0388,10.0765
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"r1",3.14408,3.18688,3.2019
"r2",3.12679,3.18145,3.19484
"r3",2.39541,3.19799,3.17434,3.18259,3.17339,3.18314,3.17454,3.17262,3.18165,3.16976,3.16766,3.18188
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"r1",6.46,5.961,5.027,5.183,4.966,5.003,5.137,4.898,4.944,5.221,5.006,4.99,5.14,5.027,5.004
"r2",6.439,5.876,4.963,5.126,4.975,5.039,5.051,4.926,4.959,5.132,4.937,4.97,5.129,5.015,5.002
"r3",6.467,5.883,4.963,5.141,5.013,4.964,5.048,4.956,4.947,5.211,5.038,4.972,5.143,4.981,4.962
"LuxCoreRender OpenCL 2.3 - Scene: Rainbow Colors and Prism",
Higher Results Are Better
"r1",3.99,5.4,5.4,5.44,5.4,5.42,5.39,5.4,5.43,5.44,5.4,5.44
"r2",5.38,5.37,5.42
"r3",5.44,5.41,5.38
"LuxCoreRender OpenCL 2.3 - Scene: LuxCore Benchmark",
Higher Results Are Better
"r1",1.77,2.34,2.29,2.29,2.28,2.28,2.33,2.31,2.28,2.3,2.26,2.35
"r2",2.32,2.32,2.3
"r3",2.31,2.27,2.28
"LuxCoreRender OpenCL 2.3 - Scene: Food",
Higher Results Are Better
"r1",0.85,1.3,1.3,1.32,1.32,1.31,1.29,1.31,1.29,1.31,1.32,1.31
"r2",1.31,1.32,1.33
"r3",1.31,1.32,1.27
"LuxCoreRender OpenCL 2.3 - Scene: DLSC",
Higher Results Are Better
"r1",2.08,2.75,2.76,2.76,2.76,2.76,2.76,2.76,2.76,2.76,2.76,2.76
"r2",2.77,2.77,2.77
"r3",2.76,2.76,2.75
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2",
Higher Results Are Better
"r1",158.20652275378
"r2",87.614387335334,123.9360663707,117.07095889802,33.801667873206,103.34845194275,114.68989557214,35.70747241151,161.80233656308,116.74446511384,173.27811617809,98.765246148926,40.246024774926
"r3",105.72977408942,119.45769336748,159.45758538048,100.43447265404,103.8541295182,175.07075584399,123.37100609018,141.03418508229,102.31685661058,159.46019941237,175.12968521614,161.33936588165,35.765873987167,127.84572636596,169.63809803692
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: RaiNyMore2",
Higher Results Are Better
"r1",164.73158328178,191.44606083545,124.39063579342,170.15884258684,236.21441182772,120.65445293513,183.47560419573,180.57225198366,184.38169244766,173.41649660563,183.30816259,181.60229977696,212.79570066511,100.64782938441,147.64778297875
"r2",213.49533688079,131.54036096137,183.52184984412,183.3695060635,58.087205717937,188.70373446958,190.95683134198,158.89436602677,160.3154905098,188.88271650414,180.38586897099,169.47937833325,181.07047064237,201.96517013278,148.87272392304
"r3",169.56020600219,245.37997684234,166.89241044279,178.31136506714,145.00048292393,145.27166356624,109.70971320439,146.93952395375,184.65468813382,163.73444016587,174.5614834338,49.883946837909,113.25486766592,135.99910116718,143.2460951034
"LevelDB 1.22 - Benchmark: Random Read",
Lower Results Are Better
"r1",6.917,9.768,9.701,9.997,9.917,9.574,9.848,9.977,9.955,10.182,9.896,9.711
"r2",7.188,8.617,10.056,10.006,9.703,10.143,9.822,9.923,9.721,10.246,9.641,10.165,9.813,10.161,10.17
"r3",7.011,8.307,10.005,9.867,9.788,9.855,9.776,9.86,10.173,9.897,9.739,10.064,9.715,9.971,9.565