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.

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January 04 2021

21 Hours, 19 Minutes

January 05 2021

21 Hours, 8 Minutes

January 06 2021

20 Hours, 49 Minutes

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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. r1: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 r2: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 r3: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better r1 . 730 |===================================================================== r2 . 730 |===================================================================== r3 . 730 |===================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better r1 . 816 |===================================================================== r2 . 814 |===================================================================== r3 . 814 |===================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better r1 . 1546 |==================================================================== r2 . 1544 |==================================================================== r3 . 1544 |==================================================================== ArrayFire 3.7 Test: Conjugate Gradient OpenCL ms < Lower Is Better r1 . 2.549 |=================================================================== r2 . 2.531 |=================================================================== r3 . 2.548 |=================================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better r1 . 15984719 |=============================================================== r2 . 15974611 |=============================================================== r3 . 16180674 |================================================================ ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better r1 . 5.44 |================================================================== r2 . 5.59 |==================================================================== r3 . 5.63 |==================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better r1 . 7.68 |==================================================================== r2 . 7.61 |=================================================================== r3 . 7.58 |=================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better r1 . 54.29 |=================================================================== r2 . 54.38 |=================================================================== r3 . 54.65 |=================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better r1 . 447.99 |================================================================== r2 . 449.37 |================================================================== r3 . 449.90 |================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better r1 . 57.82 |=================================================================== r2 . 58.06 |=================================================================== r3 . 58.06 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better r1 . 7.288 |================================================================== r2 . 7.345 |=================================================================== r3 . 7.353 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better r1 . 55.50 |=================================================================== r2 . 55.74 |=================================================================== r3 . 55.77 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better r1 . 110.84 |================================================================== r2 . 110.93 |================================================================== r3 . 111.04 |================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better r1 . 840.35 |================================================================== r2 . 840.32 |================================================================== r3 . 841.23 |================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest Seconds < Lower Is Better r1 . 5.854 |=================================================================== r2 . 5.789 |================================================================== r3 . 5.792 |================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest Seconds < Lower Is Better r1 . 8.016 |=================================================================== r2 . 7.912 |================================================================== r3 . 7.903 |================================================================== Blender 2.90 Blend File: BMW27 - Compute: CUDA Seconds < Lower Is Better r1 . 91.00 |=================================================================== r2 . 90.82 |=================================================================== r3 . 90.93 |=================================================================== Blender 2.90 Blend File: Classroom - Compute: CUDA Seconds < Lower Is Better r1 . 250.78 |================================================================== r2 . 251.90 |================================================================== r3 . 251.80 |================================================================== Blender 2.90 Blend File: Fishy Cat - Compute: CUDA Seconds < Lower Is Better r1 . 168.87 |================================================================== r2 . 167.96 |================================================================== r3 . 168.08 |================================================================== Blender 2.90 Blend File: Barbershop - Compute: CUDA Seconds < Lower Is Better r1 . 734.81 |================================================================== r2 . 731.67 |================================================================== r3 . 733.02 |================================================================== Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX Seconds < Lower Is Better r1 . 41.47 |=================================================================== r2 . 38.07 |============================================================== r3 . 38.07 |============================================================== Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX Seconds < Lower Is Better r1 . 116.76 |================================================================== r2 . 116.15 |================================================================== r3 . 116.26 |================================================================== Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX Seconds < Lower Is Better r1 . 60.35 |=================================================================== r2 . 60.18 |=================================================================== r3 . 60.25 |=================================================================== Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX Seconds < Lower Is Better r1 . 1192.96 |================================================================= r2 . 1190.05 |================================================================= r3 . 1192.80 |================================================================= Blender 2.90 Blend File: Pabellon Barcelona - Compute: CUDA Seconds < Lower Is Better r1 . 608.80 |================================================================== r2 . 609.56 |================================================================== r3 . 608.62 |================================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Seconds < Lower Is Better r1 . 196.21 |================================================================== r2 . 196.28 |================================================================== r3 . 196.41 |================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better r1 . 63909 |=================================================================== r2 . 63822 |=================================================================== r3 . 64033 |=================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better r1 . 210.05 |================================================================== r2 . 210.71 |================================================================== r3 . 210.95 |================================================================== cl-mem 2017-01-13 Benchmark: Copy GB/s > Higher Is Better r1 . 236.6 |=================================================================== r2 . 235.4 |=================================================================== r3 . 235.1 |=================================================================== cl-mem 2017-01-13 Benchmark: Read GB/s > Higher Is Better r1 . 330.3 |=================================================================== r2 . 329.9 |=================================================================== r3 . 329.9 |=================================================================== cl-mem 2017-01-13 Benchmark: Write GB/s > Higher Is Better r1 . 215.7 |=================================================================== r2 . 215.6 |=================================================================== r3 . 214.8 |=================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better r1 . 3.7 |===================================================================== r2 . 2.5 |=============================================== r3 . 3.6 |=================================================================== clpeak OpenCL Test: Integer Compute INT GIOPS > Higher Is Better r1 . 5504.35 |================================================================= r2 . 5519.39 |================================================================= r3 . 5540.44 |================================================================= clpeak OpenCL Test: Single-Precision Float GFLOPS > Higher Is Better r1 . 5940.64 |================================================================= r2 . 5858.32 |================================================================ r3 . 5892.70 |================================================================ clpeak OpenCL Test: Double-Precision Double GFLOPS > Higher Is Better r1 . 340.42 |================================================================== r2 . 340.46 |================================================================== r3 . 340.59 |================================================================== clpeak OpenCL Test: Global Memory Bandwidth GBPS > Higher Is Better r1 . 324.63 |================================================================== r2 . 324.58 |================================================================== r3 . 324.78 |================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better r1 . 223414.81 |=============================================================== r2 . 223304.98 |=============================================================== r3 . 223892.44 |=============================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better r1 . 9497414 |================================================================ r2 . 9584148 |================================================================= r3 . 9560012 |================================================================= Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better r1 . 1919349 |================================================================ r2 . 1943008 |================================================================= r3 . 1886103 |=============================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better r1 . 816282 |================================================================= r2 . 830020 |================================================================== r3 . 810352 |================================================================ Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better r1 . 4005.6 |================================================================= r2 . 4080.5 |================================================================== r3 . 4023.0 |================================================================= Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better r1 . 4002.4 |================================================================= r2 . 4055.1 |================================================================== r3 . 4026.9 |================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better r1 . 874.1 |================================================================== r2 . 881.4 |=================================================================== r3 . 874.1 |================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better r1 . 872.3 |=================================================================== r2 . 876.6 |=================================================================== r3 . 870.9 |=================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better r1 . 482.0 |================================================================== r2 . 487.4 |=================================================================== r3 . 483.6 |================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better r1 . 482.5 |================================================================== r2 . 486.3 |=================================================================== r3 . 483.0 |=================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better r1 . 3346.8 |================================================================= r2 . 3381.9 |================================================================== r3 . 3336.0 |================================================================= Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better r1 . 3348.3 |================================================================= r2 . 3388.5 |================================================================== r3 . 3362.9 |================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better r1 . 878.0 |=================================================================== r2 . 882.1 |=================================================================== r3 . 874.4 |================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better r1 . 871.7 |=================================================================== r2 . 878.1 |=================================================================== r3 . 873.5 |=================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better r1 . 482.7 |=================================================================== r2 . 485.7 |=================================================================== r3 . 483.0 |=================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better r1 . 483.0 |=================================================================== r2 . 486.4 |=================================================================== r3 . 483.8 |=================================================================== Darktable 3.0.1 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better r1 . 15.91 |=================================================================== r2 . 15.87 |=================================================================== r3 . 15.86 |=================================================================== Darktable 3.0.1 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better r1 . 7.128 |=================================================================== r2 . 7.150 |=================================================================== r3 . 7.155 |=================================================================== Darktable 3.0.1 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better r1 . 0.181 |=================================================================== r2 . 0.181 |=================================================================== r3 . 0.181 |=================================================================== Darktable 3.0.1 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better r1 . 4.181 |=================================================================== r2 . 4.174 |=================================================================== r3 . 4.178 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better r1 . 489.84 |================================================================== r2 . 486.46 |================================================================== r3 . 487.57 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better r1 . 112.75 |================================================================== r2 . 112.03 |================================================================== r3 . 112.65 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better r1 . 460.02 |================================================================== r2 . 459.61 |================================================================== r3 . 459.71 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better r1 . 86.08 |=================================================================== r2 . 85.83 |=================================================================== r3 . 85.95 |=================================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: RaiNyMore2 Frames Per Second > Higher Is Better r1 . 170.36 |================================================================== r2 . 169.30 |================================================================== r3 . 151.49 |=========================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 Frames Per Second > Higher Is Better r1 . 158.21 |================================================================== r2 . 100.58 |========================================== r3 . 130.66 |======================================================= DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap Frames Per Second > Higher Is Better r1 . 413.88 |================================================================== r2 . 412.43 |================================================================== r3 . 412.38 |================================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap - Total Frame Time Milliseconds < Lower Is Better r1 . MIN: 2.0 AVG: 2.4 MAX: 6.6 r2 . MIN: 2.0 AVG: 2.5 MAX: 6.5 r3 . MIN: 2.0 AVG: 2.4 MAX: 7.3 DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap Frames Per Second > Higher Is Better r1 . 435.20 |================================================================== r2 . 429.37 |================================================================= r3 . 434.24 |================================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time Milliseconds < Lower Is Better r1 . MIN: 2.0 AVG: 2.3 MAX: 10.1 r2 . MIN: 2.0 AVG: 2.3 MAX: 5.2 r3 . MIN: 2.0 AVG: 2.3 MAX: 8.7 DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better r1 . 81.30 |=================================================================== r2 . 81.07 |=================================================================== r3 . 81.04 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better r1 . 6.0806 |================================================================== r2 . 6.0989 |================================================================== r3 . 6.0641 |================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better r1 . 7.0735 |================================================================== r2 . 6.9794 |================================================================= r3 . 6.9976 |================================================================= Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better r1 . 7.5555 |================================================================== r2 . 7.5656 |================================================================== r3 . 7.5496 |================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better r1 . 9.1343 |================================================================= r2 . 9.2596 |================================================================== r3 . 9.1967 |================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better r1 . 26.47 |================================================================ r2 . 27.18 |================================================================== r3 . 27.71 |=================================================================== FAHBench 2.3.2 Ns Per Day > Higher Is Better r1 . 186.46 |================================================================== r2 . 186.48 |================================================================== r3 . 186.62 |================================================================== FinanceBench 2016-06-06 Benchmark: Black-Scholes OpenCL ms < Lower Is Better r1 . 17.48 |=================================================================== r2 . 17.48 |=================================================================== r3 . 17.48 |=================================================================== GEGL Operation: Crop Seconds < Lower Is Better r1 . 8.900 |=================================================================== r2 . 8.839 |=================================================================== r3 . 8.826 |================================================================== GEGL Operation: Scale Seconds < Lower Is Better r1 . 6.954 |=================================================================== r2 . 6.973 |=================================================================== r3 . 7.000 |=================================================================== GEGL Operation: Cartoon Seconds < Lower Is Better r1 . 86.79 |=================================================================== r2 . 87.32 |=================================================================== r3 . 86.99 |=================================================================== GEGL Operation: Reflect Seconds < Lower Is Better r1 . 28.18 |================================================================== r2 . 28.50 |=================================================================== r3 . 28.31 |=================================================================== GEGL Operation: Antialias Seconds < Lower Is Better r1 . 36.56 |=================================================================== r2 . 36.56 |=================================================================== r3 . 36.65 |=================================================================== GEGL Operation: Tile Glass Seconds < Lower Is Better r1 . 28.24 |=================================================================== r2 . 28.24 |=================================================================== r3 . 28.06 |=================================================================== GEGL Operation: Wavelet Blur Seconds < Lower Is Better r1 . 57.99 |=================================================================== r2 . 57.95 |=================================================================== r3 . 57.84 |=================================================================== GEGL Operation: Color Enhance Seconds < Lower Is Better r1 . 54.11 |=================================================================== r2 . 54.31 |=================================================================== r3 . 54.10 |=================================================================== GEGL Operation: Rotate 90 Degrees Seconds < Lower Is Better r1 . 37.70 |=================================================================== r2 . 37.54 |=================================================================== r3 . 37.69 |=================================================================== GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better r1 . 207 |===================================================================== r2 . 207 |===================================================================== r3 . 207 |===================================================================== GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better r1 . 902 |===================================================================== r2 . 875 |=================================================================== r3 . 900 |===================================================================== GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better r1 . 72 |===================================================================== r2 . 72 |===================================================================== r3 . 73 |====================================================================== GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better r1 . 115 |===================================================================== r2 . 115 |===================================================================== r3 . 115 |===================================================================== GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better r1 . 552 |===================================================================== r2 . 551 |===================================================================== r3 . 551 |===================================================================== GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better r1 . 146 |===================================================================== r2 . 147 |===================================================================== r3 . 147 |===================================================================== GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better r1 . 775 |===================================================================== r2 . 774 |===================================================================== r3 . 776 |===================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better r1 . 0.617 |=================================================================== r2 . 0.610 |================================================================== r3 . 0.614 |=================================================================== Hashcat 6.1.1 Benchmark: MD5 H/s > Higher Is Better r1 . 24334866667 |============================================================= r2 . 24260200000 |============================================================= r3 . 24196900000 |============================================================= Hashcat 6.1.1 Benchmark: SHA1 H/s > Higher Is Better r1 . 8585766667 |============================================================== r2 . 8544500000 |============================================================== r3 . 8535333333 |============================================================== Hashcat 6.1.1 Benchmark: 7-Zip H/s > Higher Is Better r1 . 373667 |================================================================== r2 . 370400 |================================================================= r3 . 366433 |================================================================= Hashcat 6.1.1 Benchmark: SHA-512 H/s > Higher Is Better r1 . 1023100000 |============================================================== r2 . 1020000000 |============================================================== r3 . 1016800000 |============================================================== Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS H/s > Higher Is Better r1 . 301233 |================================================================== r2 . 301433 |================================================================== r3 . 298133 |================================================================= High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better r1 . 3.96177 |================================================================= r2 . 3.96068 |================================================================= r3 . 3.95457 |================================================================= IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better r1 . 0.939 |=================================================================== r2 . 0.938 |=================================================================== r3 . 0.935 |=================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better r1 . 2.147 |=================================================================== r2 . 2.150 |=================================================================== r3 . 2.156 |=================================================================== Inkscape Operation: SVG Files To PNG Seconds < Lower Is Better r1 . 21.00 |=================================================================== r2 . 21.05 |=================================================================== r3 . 21.07 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better r1 . 5.198 |=================================================================== r2 . 5.169 |=================================================================== r3 . 5.179 |=================================================================== LeelaChessZero 0.26 Backend: OpenCL Nodes Per Second > Higher Is Better r1 . 13277 |================================================================== r2 . 13173 |================================================================== r3 . 13416 |=================================================================== LevelDB 1.22 Benchmark: Hot Read Microseconds Per Op < Lower Is Better r1 . 6.946 |================================================================= r2 . 7.099 |=================================================================== r3 . 7.128 |=================================================================== LevelDB 1.22 Benchmark: Fill Sync MB/s > Higher Is Better r1 . 0.5 |===================================================================== r2 . 0.5 |===================================================================== r3 . 0.5 |===================================================================== LevelDB 1.22 Benchmark: Fill Sync Microseconds Per Op < Lower Is Better r1 . 3361.78 |================================================================ r2 . 3424.92 |================================================================= r3 . 3386.08 |================================================================ LevelDB 1.22 Benchmark: Overwrite MB/s > Higher Is Better r1 . 43.2 |==================================================================== r2 . 43.2 |==================================================================== r3 . 43.4 |==================================================================== LevelDB 1.22 Benchmark: Overwrite Microseconds Per Op < Lower Is Better r1 . 40.93 |=================================================================== r2 . 40.96 |=================================================================== r3 . 40.76 |=================================================================== LevelDB 1.22 Benchmark: Random Fill MB/s > Higher Is Better r1 . 43.1 |==================================================================== r2 . 43.1 |==================================================================== r3 . 43.2 |==================================================================== LevelDB 1.22 Benchmark: Random Fill Microseconds Per Op < Lower Is Better r1 . 41.04 |=================================================================== r2 . 41.03 |=================================================================== r3 . 40.98 |=================================================================== LevelDB 1.22 Benchmark: Random Read Microseconds Per Op < Lower Is Better r1 . 9.620 |=================================================================== r2 . 9.692 |=================================================================== r3 . 9.573 |================================================================== LevelDB 1.22 Benchmark: Seek Random Microseconds Per Op < Lower Is Better r1 . 12.69 |=================================================================== r2 . 12.63 |=================================================================== r3 . 12.64 |=================================================================== LevelDB 1.22 Benchmark: Random Delete Microseconds Per Op < Lower Is Better r1 . 47.23 |=================================================================== r2 . 47.30 |=================================================================== r3 . 47.39 |=================================================================== LevelDB 1.22 Benchmark: Sequential Fill MB/s > Higher Is Better r1 . 37.5 |==================================================================== r2 . 37.4 |==================================================================== r3 . 37.3 |==================================================================== LevelDB 1.22 Benchmark: Sequential Fill Microseconds Per Op < Lower Is Better r1 . 47.24 |=================================================================== r2 . 47.29 |=================================================================== r3 . 47.42 |=================================================================== LuxCoreRender OpenCL 2.3 Scene: DLSC M samples/sec > Higher Is Better r1 . 2.70 |================================================================== r2 . 2.77 |==================================================================== r3 . 2.76 |==================================================================== LuxCoreRender OpenCL 2.3 Scene: Food M samples/sec > Higher Is Better r1 . 1.27 |================================================================= r2 . 1.32 |==================================================================== r3 . 1.30 |=================================================================== LuxCoreRender OpenCL 2.3 Scene: LuxCore Benchmark M samples/sec > Higher Is Better r1 . 2.26 |=================================================================== r2 . 2.31 |==================================================================== r3 . 2.29 |=================================================================== LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism M samples/sec > Higher Is Better r1 . 5.30 |=================================================================== r2 . 5.39 |==================================================================== r3 . 5.41 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better r1 . 8120.67 |================================================================= r2 . 8127.78 |================================================================= r3 . 8079.18 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better r1 . 9823.2 |================================================================== r2 . 9839.9 |================================================================== r3 . 9810.0 |================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better r1 . 57.88 |================================================================== r2 . 57.36 |================================================================= r3 . 58.89 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better r1 . 9676.3 |================================================================== r2 . 9653.7 |================================================================== r3 . 9685.2 |================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better r1 . 55.72 |================================================================= r2 . 56.07 |================================================================== r3 . 57.01 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better r1 . 9679.8 |================================================================== r2 . 9664.8 |================================================================== r3 . 9695.2 |================================================================== MandelGPU 1.3pts1 OpenCL Device: GPU Samples/sec > Higher Is Better r1 . 251986408.7 |============================================================= r2 . 252826584.8 |============================================================= r3 . 252822614.4 |============================================================= Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better r1 . 8.899 |================================================================== r2 . 8.982 |=================================================================== r3 . 8.944 |=================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better r1 . 58.16 |================================================================== r2 . 58.53 |=================================================================== r3 . 58.79 |=================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better r1 . 5.239 |================================================================== r2 . 5.291 |=================================================================== r3 . 5.285 |=================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better r1 . 10.65 |=================================================================== r2 . 10.68 |=================================================================== r3 . 10.66 |=================================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better r1 . 62.57 |================================================================== r2 . 63.18 |=================================================================== r3 . 63.56 |=================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better r1 . 10.51 |================================================================= r2 . 10.86 |=================================================================== r3 . 10.59 |================================================================= NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better r1 . 0.22103 |================================================================= r2 . 0.22238 |================================================================= r3 . 0.22171 |================================================================= NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better r1 . 26.62 |=================================================================== r2 . 26.63 |=================================================================== r3 . 26.53 |=================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better r1 . 7.31 |==================================================================== r2 . 7.22 |=================================================================== r3 . 7.23 |=================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better r1 . 5.74 |=================================================================== r2 . 5.81 |==================================================================== r3 . 5.81 |==================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better r1 . 7.93 |==================================================================== r2 . 6.95 |============================================================ r3 . 7.03 |============================================================ NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better r1 . 6.67 |==================================================================== r2 . 5.96 |============================================================= r3 . 5.96 |============================================================= NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better r1 . 10.00 |=================================================================== r2 . 9.05 |============================================================= r3 . 9.06 |============================================================= NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better r1 . 2.54 |================================================================== r2 . 2.60 |==================================================================== r3 . 2.57 |=================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better r1 . 19.98 |================================================================== r2 . 20.01 |================================================================== r3 . 20.21 |=================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better r1 . 72.09 |=================================================================== r2 . 71.91 |=================================================================== r3 . 71.86 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better r1 . 18.62 |=================================================================== r2 . 18.71 |=================================================================== r3 . 18.66 |=================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better r1 . 15.50 |=================================================================== r2 . 15.46 |=================================================================== r3 . 15.49 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better r1 . 37.81 |=================================================================== r2 . 37.30 |================================================================== r3 . 37.22 |================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better r1 . 35.95 |=================================================================== r2 . 35.59 |================================================================== r3 . 35.66 |================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better r1 . 27.64 |=================================================================== r2 . 27.51 |=================================================================== r3 . 27.63 |=================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better r1 . 19.16 |================================================================== r2 . 18.91 |================================================================= r3 . 19.38 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better r1 . 26.52 |=================================================================== r2 . 26.53 |=================================================================== r3 . 26.51 |=================================================================== NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better r1 . 7.23 |==================================================================== r2 . 7.22 |==================================================================== r3 . 7.19 |==================================================================== NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better r1 . 5.74 |=================================================================== r2 . 5.73 |=================================================================== r3 . 5.81 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better r1 . 7.92 |==================================================================== r2 . 6.98 |============================================================ r3 . 7.05 |============================================================= NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better r1 . 6.63 |==================================================================== r2 . 5.86 |============================================================ r3 . 5.91 |============================================================= NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better r1 . 10.01 |=================================================================== r2 . 9.02 |============================================================ r3 . 8.99 |============================================================ NCNN 20201218 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better r1 . 2.55 |==================================================================== r2 . 2.29 |============================================================= r3 . 2.29 |============================================================= NCNN 20201218 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better r1 . 20.05 |=================================================================== r2 . 18.20 |============================================================= r3 . 18.26 |============================================================= NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better r1 . 71.96 |=================================================================== r2 . 71.82 |=================================================================== r3 . 71.86 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better r1 . 18.62 |=================================================================== r2 . 18.33 |================================================================== r3 . 18.38 |================================================================== NCNN 20201218 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better r1 . 15.44 |=================================================================== r2 . 15.53 |=================================================================== r3 . 15.50 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better r1 . 37.25 |=================================================================== r2 . 37.34 |=================================================================== r3 . 37.26 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better r1 . 35.52 |=================================================================== r2 . 35.51 |=================================================================== r3 . 35.53 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better r1 . 27.58 |=================================================================== r2 . 27.52 |=================================================================== r3 . 27.55 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better r1 . 19.16 |=================================================================== r2 . 17.15 |============================================================ r3 . 17.60 |============================================================== NeatBench 5 Acceleration: GPU FPS > Higher Is Better r1 . 27.5 |==================================================================== r2 . 27.1 |=================================================================== r3 . 27.6 |==================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better r1 . 13.06 |================================================================== r2 . 13.17 |=================================================================== r3 . 13.18 |=================================================================== Numpy Benchmark Score > Higher Is Better r1 . 419.58 |================================================================== r2 . 419.36 |================================================================== r3 . 417.03 |================================================================== OctaneBench 2020.1 Total Score Score > Higher Is Better r1 . 189.09 |================================================================== r2 . 189.10 |================================================================== r3 . 189.32 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 7.16575 |================================================================= r2 . 7.04404 |================================================================ r3 . 7.14574 |================================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 12.47 |================================================================== r2 . 12.44 |================================================================== r3 . 12.61 |=================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 3.17762 |================================================================= r2 . 3.16769 |================================================================= r3 . 3.11291 |================================================================ oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 2.72558 |================================================================ r2 . 2.77670 |================================================================= r3 . 2.74874 |================================================================ oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 21.69 |=================================================================== r2 . 21.70 |=================================================================== r3 . 21.62 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 9.77594 |================================================================= r2 . 9.76468 |================================================================= r3 . 9.73732 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 9.87893 |================================================================= r2 . 9.77701 |================================================================ r3 . 9.81238 |================================================================= oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 18.01 |=================================================================== r2 . 17.90 |=================================================================== r3 . 18.03 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 8.96782 |================================================================ r2 . 9.00692 |================================================================= r3 . 9.06628 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 4.74772 |================================================================= r2 . 4.71457 |================================================================= r3 . 4.73728 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 7155.41 |================================================================= r2 . 7159.48 |================================================================= r3 . 7169.03 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 3795.02 |================================================================= r2 . 3797.05 |================================================================= r3 . 3797.72 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 7140.50 |================================================================= r2 . 7159.42 |================================================================= r3 . 7151.58 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 3795.81 |================================================================= r2 . 3800.41 |================================================================= r3 . 3798.12 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better r1 . 4.36381 |================================================================= r2 . 4.37852 |================================================================= r3 . 4.38535 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better r1 . 7144.23 |================================================================= r2 . 7154.66 |================================================================= r3 . 7147.09 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better r1 . 3797.32 |================================================================= r2 . 3799.45 |================================================================= r3 . 3792.87 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better r1 . 4.45564 |================================================================= r2 . 4.47062 |================================================================= r3 . 4.46656 |================================================================= OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better r1 . 1.28 |==================================================================== r2 . 1.28 |==================================================================== r3 . 1.28 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better r1 . 3165.24 |================================================================= r2 . 3166.57 |================================================================= r3 . 3164.51 |================================================================= OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better r1 . 1.26 |=================================================================== r2 . 1.27 |==================================================================== r3 . 1.27 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better r1 . 3202.53 |================================================================= r2 . 3207.35 |================================================================= r3 . 3212.10 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better r1 . 0.80 |==================================================================== r2 . 0.80 |==================================================================== r3 . 0.80 |==================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better r1 . 4961.99 |================================================================ r2 . 4978.25 |================================================================= r3 . 5006.34 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better r1 . 0.79 |==================================================================== r2 . 0.79 |==================================================================== r3 . 0.79 |==================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better r1 . 5069.44 |================================================================= r2 . 5079.89 |================================================================= r3 . 5073.09 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better r1 . 3442.78 |================================================================= r2 . 3403.45 |================================================================ r3 . 3405.92 |================================================================ OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better r1 . 1.17 |=================================================================== r2 . 1.19 |==================================================================== r3 . 1.19 |==================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better r1 . 3363.55 |================================================================= r2 . 3307.53 |================================================================ r3 . 3347.93 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better r1 . 1.21 |=================================================================== r2 . 1.23 |==================================================================== r3 . 1.22 |=================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better r1 . 7.624 |=================================================================== r2 . 7.602 |=================================================================== r3 . 7.616 |=================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better r1 . 837911 |================================================================== r2 . 832417 |================================================================== r3 . 829705 |================================================================= PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL FPS > Higher Is Better r1 . 463.34 |================================================================ r2 . 477.39 |================================================================== r3 . 478.73 |================================================================== PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better r1 . 1246.78 |================================================================= r2 . 1244.95 |================================================================= r3 . 1247.93 |================================================================= PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better r1 . 1819.24 |================================================================= r2 . 1823.06 |================================================================= r3 . 1817.78 |================================================================= PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL FPS > Higher Is Better r1 . 110.07 |================================================================== r2 . 109.98 |================================================================== r3 . 109.99 |================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better r1 . 0.347 |=================================================================== r2 . 0.346 |=================================================================== r3 . 0.347 |=================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better r1 . 1.069 |=================================================================== r2 . 1.064 |=================================================================== r3 . 1.064 |=================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better r1 . 1.444 |=================================================================== r2 . 1.440 |=================================================================== r3 . 1.443 |=================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better r1 . 3.422 |=================================================================== r2 . 3.404 |=================================================================== r3 . 3.420 |=================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better r1 . 80.59 |=================================================================== r2 . 80.93 |=================================================================== r3 . 80.71 |=================================================================== RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better r1 . 14.73 |=================================================================== r2 . 14.66 |=================================================================== r3 . 14.69 |=================================================================== RealSR-NCNN 20200818 Scale: 4x - TAA: Yes Seconds < Lower Is Better r1 . 99.81 |================================================================= r2 . 100.62 |================================================================== r3 . 100.75 |================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better r1 . 3394660.20 |============================================================== r2 . 2104092.33 |====================================== r3 . 2809233.48 |=================================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better r1 . 2660539.42 |============================================================== r2 . 2628039.25 |============================================================= r3 . 2634908.83 |============================================================= Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better r1 . 2041750.08 |============================================================ r2 . 2094056.31 |============================================================== r3 . 2083566.29 |============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better r1 . 3248596.08 |============================================================== r2 . 3012560.83 |========================================================= r3 . 3009326.75 |========================================================= Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better r1 . 2375800.25 |============================================================= r2 . 2413657.00 |============================================================= r3 . 2433543.80 |============================================================== RedShift Demo 3.0 Seconds < Lower Is Better r1 . 461 |===================================================================== r2 . 460 |===================================================================== r3 . 459 |===================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better r1 . 22.08 |=================================================================== r2 . 21.32 |================================================================= r3 . 22.04 |=================================================================== Rodinia 3.1 Test: OpenCL Particle Filter Seconds < Lower Is Better r1 . 7.115 |=================================================================== r2 . 7.055 |================================================================== r3 . 7.027 |================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better r1 . 0.76 |==================================================================== r2 . 0.75 |=================================================================== r3 . 0.75 |=================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better r1 . 0.5 |===================================================================== r2 . 0.5 |===================================================================== r3 . 0.5 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better r1 . 0.86 |=================================================================== r2 . 0.87 |==================================================================== r3 . 0.86 |=================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better r1 . 0.89 |==================================================================== r2 . 0.88 |=================================================================== r3 . 0.88 |=================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better r1 . 49.55 |================================================================== r2 . 50.27 |=================================================================== r3 . 50.26 |=================================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better r1 . 9703133 |================================================================ r2 . 9839292 |================================================================= r3 . 9629353 |================================================================ TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better r1 . 354892 |================================================================== r2 . 356034 |================================================================== r3 . 356258 |================================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better r1 . 5163190 |================================================================= r2 . 5168183 |================================================================= r3 . 5178263 |================================================================= TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better r1 . 302594 |================================================================== r2 . 304756 |================================================================== r3 . 304079 |================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better r1 . 239119 |================================================================== r2 . 239224 |================================================================== r3 . 239537 |================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better r1 . 236716 |================================================================== r2 . 237129 |================================================================== r3 . 237406 |================================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better r1 . 4660197 |================================================================= r2 . 4670567 |================================================================= r3 . 4677473 |================================================================= Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better r1 . 68.74 |=================================================================== r2 . 67.54 |================================================================== r3 . 68.70 |=================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better r1 . 100.26 |================================================================== r2 . 100.40 |================================================================== r3 . 100.20 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better r1 . 105.53 |================================================================== r2 . 105.57 |================================================================== r3 . 105.51 |================================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better r1 . 151.66 |================================================================== r2 . 152.21 |================================================================== r3 . 151.48 |================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better r1 . 10.50 |================================================================== r2 . 10.56 |=================================================================== r3 . 10.61 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better r1 . 321.42 |================================================================== r2 . 295.55 |============================================================= r3 . 299.40 |============================================================= TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better r1 . 272.91 |================================================================== r2 . 264.95 |================================================================ r3 . 272.68 |================================================================== Unigine Heaven 4.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL Frames Per Second > Higher Is Better r1 . 139.13 |================================================================== r2 . 139.91 |================================================================== r3 . 139.18 |================================================================== Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL Frames Per Second > Higher Is Better r1 . 177.7 |=================================================================== r2 . 178.1 |=================================================================== r3 . 177.4 |=================================================================== Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL Frames Per Second > Higher Is Better r1 . 65.9 |=================================================================== r2 . 66.5 |==================================================================== r3 . 66.2 |==================================================================== Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL Frames Per Second > Higher Is Better r1 . 25.1 |=================================================================== r2 . 25.4 |==================================================================== r3 . 25.3 |==================================================================== Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL Frames Per Second > Higher Is Better r1 . 90.4 |==================================================================== r2 . 90.6 |==================================================================== r3 . 90.5 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better r1 . 16.03 |=================================================================== r2 . 16.14 |=================================================================== r3 . 16.10 |=================================================================== ViennaCL 1.4.2 OpenCL LU Factorization GFLOPS > Higher Is Better r1 . 68.29 |=================================================================== r2 . 64.23 |=============================================================== r3 . 65.92 |================================================================= VkFFT 1.1.1 Benchmark Score > Higher Is Better r1 . 25820 |=================================================================== r2 . 25647 |=================================================================== r3 . 25683 |=================================================================== VkResample 1.0 Upscale: 2x - Precision: Double ms < Lower Is Better r1 . 256.87 |================================================================== r2 . 257.06 |================================================================== r3 . 257.62 |================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better r1 . 24.99 |================================================================== r2 . 25.19 |=================================================================== r3 . 25.23 |=================================================================== Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes Seconds < Lower Is Better r1 . 6.020 |================================================================== r2 . 6.102 |=================================================================== r3 . 6.093 |=================================================================== Warsow 2.5 Beta Resolution: 1920 x 1080 Frames Per Second > Higher Is Better r1 . 955.6 |================================================================== r2 . 967.9 |=================================================================== r3 . 968.6 |=================================================================== yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better r1 . 59.9 |==================================================================== r2 . 59.9 |==================================================================== r3 . 59.9 |==================================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better r1 . 60 |====================================================================== r2 . 60 |====================================================================== r3 . 60 |====================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better r1 . 60.7 |==================================================================== r2 . 60.7 |==================================================================== r3 . 60.6 |==================================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better r1 . 2833.6 |================================================================== r2 . 2831.0 |================================================================== r3 . 2835.1 |================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better r1 . 28.8 |==================================================================== r2 . 28.7 |==================================================================== r3 . 28.8 |====================================================================

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