HP Zbook

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
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Audio Encoding 2 Tests
AV1 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 13 Tests
Compression Tests 2 Tests
CPU Massive 23 Tests
Creator Workloads 22 Tests
Database Test Suite 3 Tests
Encoding 4 Tests
Fortran Tests 2 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Imaging 5 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 12 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 3 Tests
Multi-Core 22 Tests
NVIDIA GPU Compute 24 Tests
Intel oneAPI 3 Tests
OpenCL 6 Tests
OpenGL Demos Test Suite 2 Tests
OpenMPI Tests 4 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 10 Tests
Python Tests 4 Tests
Renderers 2 Tests
Scientific Computing 5 Tests
Server 6 Tests
Server CPU Tests 11 Tests
Single-Threaded 6 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 3 Tests
Unigine Test Suite 2 Tests
Video Encoding 2 Tests
Vulkan Compute 6 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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r1
January 04 2021
  21 Hours, 19 Minutes
r2
January 05 2021
  21 Hours, 8 Minutes
r3
January 06 2021
  20 Hours, 49 Minutes
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  21 Hours, 5 Minutes

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HP Zbook, "VkFFT 1.1.1 - ", Higher Results Are Better "r1",25695,25897,25867 "r2",25578,25600,25764 "r3",25467,25780,25803 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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: 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 "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 "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 "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 "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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080", Higher Results Are Better "r1", "r2", "r3", "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "Hashcat 6.1.1 - Benchmark: MD5", Higher Results Are Better "r1",24555400000,24236900000,24212300000 "r2",24402400000,24256700000,24121500000 "r3",24295400000,24149000000,24146300000 "Hashcat 6.1.1 - Benchmark: SHA1", Higher Results Are Better "r1",8648200000,8549600000,8559500000 "r2",8579100000,8530100000,8524300000 "r3",8570900000,8527300000,8507800000 "Hashcat 6.1.1 - Benchmark: 7-Zip", Higher Results Are Better "r1",375500,370500,375000 "r2",371400,373000,366800 "r3",368500,371500,359300 "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 "Hashcat 6.1.1 - Benchmark: TrueCrypt RIPEMD160 + XTS", Higher Results Are Better "r1",303800,300500,299400 "r2",300900,303100,300300 "r3",297400,297800,299200 "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 "GraphicsMagick 1.3.33 - Operation: Rotate", Higher Results Are Better "r1",907,900,899 "r2",881,871,872 "r3",904,898,899 "GraphicsMagick 1.3.33 - Operation: Sharpen", Higher Results Are Better "r1",73,72,72 "r2",73,72,71 "r3",74,72,72 "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: Resizing", Higher Results Are Better "r1",557,550,548 "r2",561,546,546 "r3",562,547,545 "GraphicsMagick 1.3.33 - Operation: Noise-Gaussian", Higher Results Are Better "r1",149,145,145 "r2",149,146,146 "r3",149,145,146 "GraphicsMagick 1.3.33 - Operation: HWB Color Space", Higher Results Are Better "r1",785,771,769 "r2",785,767,769 "r3",785,772,771 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "r1",1920468,1906501,1931079 "r2",1945410,1941807,1941807 "r3",1865793,1882542,1909974 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "r1",825650,809086,814111 "r2",833526,825650,830884 "r3",805357,812849,812849 "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 "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 "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 "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 "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: 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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 - 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 "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 "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 "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 "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 "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 "LeelaChessZero 0.26 - Backend: OpenCL", Higher Results Are Better "r1",13570,13245,13017 "r2",13526,12986,13006 "r3",13459,13463,13327 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "r1",9412343,9514052,9565846 "r2",9595008,9586844,9570591 "r3",9532041,9558578,9589418 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "OctaneBench 2020.1 - Total Score", Higher Results Are Better "r1", "r2", "r3", "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 "AI Benchmark Alpha 0.1.2 - Device Inference Score", Higher Results Are Better "r1", "r2", "r3", "AI Benchmark Alpha 0.1.2 - Device Training Score", Higher Results Are Better "r1", "r2", "r3", "AI Benchmark Alpha 0.1.2 - Device AI Score", Higher Results Are Better "r1", "r2", "r3", "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "r1",845695,830669,837368 "r2",829341,830323,837588 "r3",828740,829605,830769 "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 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "r1", "r2", "r3", "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 "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 "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 "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 "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 "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 "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 "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 "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 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "r1",349760,357484,357433 "r2",350881,358570,358651 "r3",351180,358855,358738 "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: NASNet Mobile", Lower Results Are Better "r1",296316,305556,305911 "r2",300704,306802,306761 "r3",301523,305582,305133 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "r1",235208,240380,241770 "r2",235584,241045,241043 "r3",236260,241140,241210 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "r1",233345,238299,238503 "r2",233796,238662,238930 "r3",233791,239032,239394 "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 - Total Frame Time", Lower Results Are Better "r1", "r2", "r3", "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", "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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 "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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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: 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 "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 "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 - 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 - 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: 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: 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 "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 "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 "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 "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 "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: 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 "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 "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 "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 "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: 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 - 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 - 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: 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: 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: 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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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", 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 "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 "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 "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 "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 "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 "RedShift Demo 3.0 - ", Lower Results Are Better "r1",459,461,462 "r2",459,460,460 "r3", "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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: 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 "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 "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 "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 "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 "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 "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 "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 "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 "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 "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