extra tests2 AMD EPYC 9334 32-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads), Motherboard: Supermicro H13DSH (1.5 BIOS), Memory: 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 b: Processor: 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads), Motherboard: Supermicro H13DSH (1.5 BIOS), Memory: 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 c: Processor: 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads), Motherboard: Supermicro H13DSH (1.5 BIOS), Memory: 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 d: Processor: AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 e: Processor: AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 f: Processor: AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 g: Processor: AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768 h: Processor: AMD EPYC 9334 32-Core @ 2.70GHz (32 Cores / 64 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1680x1050 i: Processor: AMD EPYC 9334 32-Core @ 2.70GHz (32 Cores / 64 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1680x1050 j: Processor: AMD EPYC 9334 32-Core @ 2.70GHz (32 Cores / 64 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1680x1050 OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better a . 16.35 |==================================== b . 16.79 |===================================== c . 16.24 |==================================== d . 30.76 |==================================================================== e . 30.85 |==================================================================== f . 30.73 |==================================================================== g . 30.75 |==================================================================== h . 20.44 |============================================= i . 20.30 |============================================= j . 20.36 |============================================= SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better a . 11.02 |=========================== b . 11.32 |============================ c . 11.33 |============================ d . 26.74 |================================================================== e . 26.80 |================================================================== f . 26.87 |================================================================== g . 27.70 |==================================================================== h . 15.03 |===================================== i . 15.19 |===================================== j . 15.10 |===================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better a . 26.89 |========================== b . 28.65 |=========================== c . 27.49 |========================== d . 71.61 |==================================================================== e . 70.19 |=================================================================== f . 70.54 |=================================================================== g . 69.96 |================================================================== h . 40.33 |====================================== i . 39.83 |====================================== j . 39.87 |====================================== SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better a . 12.31 |============================== b . 12.10 |============================== c . 12.04 |============================== d . 27.33 |=================================================================== e . 27.46 |=================================================================== f . 26.97 |================================================================== g . 27.75 |==================================================================== h . 15.99 |======================================= i . 15.59 |====================================== j . 15.84 |======================================= SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better a . 15.11 |============================= b . 14.46 |============================ c . 14.81 |============================ d . 35.57 |==================================================================== e . 35.03 |=================================================================== f . 35.54 |==================================================================== g . 35.38 |==================================================================== h . 19.96 |====================================== i . 19.62 |====================================== j . 19.73 |====================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better a . 26.99 |============================= b . 29.46 |================================ c . 27.06 |============================= d . 62.44 |==================================================================== e . 62.33 |=================================================================== f . 61.28 |================================================================== g . 62.81 |==================================================================== h . 36.45 |======================================= i . 37.51 |========================================= j . 37.81 |========================================= nekRS 23.0 Input: Kershaw flops/rank > Higher Is Better a . 11106900000 |============================================================= b . 11240300000 |============================================================== c . 10826700000 |============================================================ d . 10318900000 |========================================================= e . 10264000000 |========================================================= f . 9976450000 |======================================================= g . 10500600000 |========================================================== h . 9145900000 |================================================== i . 9269890000 |=================================================== j . 9242080000 |=================================================== nekRS 23.0 Input: TurboPipe Periodic flops/rank > Higher Is Better a . 6767710000 |====================================================== b . 6757360000 |===================================================== c . 6754170000 |===================================================== d . 7934570000 |=============================================================== e . 7931010000 |=============================================================== f . 7955790000 |=============================================================== g . 7964910000 |=============================================================== h . 6761270000 |===================================================== i . 6768070000 |====================================================== j . 6835360000 |====================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 54.90 |=================================================================== b . 55.39 |==================================================================== c . 55.40 |==================================================================== d . 21.48 |========================== e . 21.44 |========================== f . 21.59 |=========================== g . 21.58 |========================== h . 42.89 |===================================================== i . 43.27 |===================================================== j . 43.31 |===================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 56.09 |=================================================================== b . 56.46 |==================================================================== c . 56.81 |==================================================================== d . 22.59 |=========================== e . 22.57 |=========================== f . 22.66 |=========================== g . 22.77 |=========================== h . 45.48 |====================================================== i . 45.40 |====================================================== j . 45.32 |====================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 60.14 |==================================================================== b . 59.91 |==================================================================== c . 59.79 |==================================================================== d . 24.69 |============================ e . 24.73 |============================ f . 24.70 |============================ g . 24.82 |============================ h . 48.12 |====================================================== i . 48.19 |====================================================== j . 48.10 |====================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 53.57 |==================================================================== b . 53.81 |==================================================================== c . 53.69 |==================================================================== d . 22.26 |============================ e . 22.16 |============================ f . 22.15 |============================ g . 22.19 |============================ h . 43.51 |======================================================= i . 43.57 |======================================================= j . 43.42 |======================================================= Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 67.34 |==================================================================== b . 67.20 |==================================================================== c . 67.50 |==================================================================== d . 28.36 |============================= e . 28.31 |============================= f . 28.32 |============================= g . 28.48 |============================= h . 54.39 |======================================================= i . 54.51 |======================================================= j . 54.52 |======================================================= Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 56.49 |=================================================================== b . 56.69 |==================================================================== c . 56.93 |==================================================================== d . 23.87 |============================= e . 23.94 |============================= f . 23.94 |============================= g . 23.88 |============================= h . 46.38 |======================================================= i . 46.36 |======================================================= j . 46.43 |======================================================= SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.203 |==================================================================== b . 5.149 |=================================================================== c . 5.049 |================================================================== d . 4.107 |====================================================== e . 4.114 |====================================================== f . 4.138 |====================================================== g . 4.143 |====================================================== h . 5.075 |================================================================== i . 5.079 |================================================================== j . 5.160 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 90.81 |============================================================== b . 91.32 |=============================================================== c . 90.42 |============================================================== d . 66.99 |============================================== e . 67.72 |============================================== f . 67.39 |============================================== g . 67.81 |============================================== h . 99.10 |==================================================================== i . 98.57 |=================================================================== j . 99.35 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 163.46 |================================================ b . 166.38 |================================================ c . 163.06 |=============================================== d . 163.19 |================================================ e . 162.61 |=============================================== f . 161.85 |=============================================== g . 160.32 |=============================================== h . 230.03 |=================================================================== i . 227.87 |================================================================== j . 224.41 |================================================================= SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 163.01 |================================================ b . 166.69 |================================================= c . 161.50 |=============================================== d . 161.85 |=============================================== e . 162.05 |=============================================== f . 160.80 |=============================================== g . 161.32 |=============================================== h . 223.42 |================================================================= i . 227.21 |=================================================================== j . 228.77 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 12.48 |=================================================================== b . 12.59 |==================================================================== c . 12.62 |==================================================================== d . 10.91 |=========================================================== e . 10.98 |=========================================================== f . 10.74 |========================================================== g . 11.02 |=========================================================== h . 12.23 |================================================================== i . 12.26 |================================================================== j . 12.18 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 141.22 |============================================================== b . 138.34 |============================================================= c . 143.55 |================================================================ d . 118.95 |===================================================== e . 119.31 |===================================================== f . 118.49 |==================================================== g . 118.48 |==================================================== h . 151.44 |=================================================================== i . 149.05 |================================================================== j . 149.45 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 422.99 |================================================ b . 427.69 |================================================ c . 431.90 |================================================= d . 526.22 |============================================================ e . 525.17 |============================================================ f . 521.52 |=========================================================== g . 528.53 |============================================================ h . 580.16 |================================================================== i . 591.32 |=================================================================== j . 584.12 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 510.36 |=============================================== b . 542.61 |================================================== c . 516.91 |================================================ d . 604.99 |======================================================== e . 597.01 |======================================================= f . 585.37 |====================================================== g . 586.75 |====================================================== h . 726.89 |=================================================================== i . 728.54 |=================================================================== j . 726.50 |=================================================================== Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.83 |===================================================================== b . 1.83 |===================================================================== c . 1.83 |===================================================================== d . 0.72 |=========================== e . 0.72 |=========================== f . 0.72 |=========================== g . 0.72 |=========================== h . 1.37 |==================================================== i . 1.37 |==================================================== j . 1.37 |==================================================== Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 1.84 |===================================================================== b . 1.84 |===================================================================== c . 1.82 |==================================================================== d . 0.72 |=========================== e . 0.72 |=========================== f . 0.72 |=========================== g . 0.72 |=========================== h . 1.38 |==================================================== i . 1.38 |==================================================== j . 1.38 |==================================================== Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.86 |==================================================================== b . 0.86 |==================================================================== c . 0.87 |===================================================================== d . 0.34 |=========================== e . 0.34 |=========================== f . 0.34 |=========================== g . 0.34 |=========================== h . 0.65 |==================================================== i . 0.65 |==================================================== j . 0.65 |==================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 15.98600 |================================================================= b . 15.97850 |================================================================= c . 15.98720 |================================================================= d . 5.57469 |======================= e . 5.54107 |======================= f . 5.57320 |======================= g . 5.57553 |======================= h . 10.79880 |============================================ i . 10.74300 |============================================ j . 10.69320 |=========================================== OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 15.95280 |================================================================= b . 15.98880 |================================================================= c . 15.97780 |================================================================= d . 5.57001 |======================= e . 5.56353 |======================= f . 5.55581 |======================= g . 5.56539 |======================= h . 10.78320 |============================================ i . 10.79040 |============================================ j . 10.76640 |============================================ OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 215.10 |=================================================================== b . 214.07 |=================================================================== c . 214.14 |=================================================================== d . 151.91 |=============================================== e . 151.51 |=============================================== f . 151.78 |=============================================== g . 151.68 |=============================================== h . 192.65 |============================================================ i . 192.40 |============================================================ j . 192.70 |============================================================ OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 14.23690 |================================================================= b . 14.17830 |================================================================= c . 14.13990 |================================================================= d . 5.60747 |========================== e . 5.62040 |========================== f . 5.61454 |========================== g . 5.62278 |========================== h . 10.85240 |================================================== i . 10.88290 |================================================== j . 10.87430 |================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 13.87390 |================================================================= b . 13.76660 |================================================================ c . 13.83170 |================================================================= d . 5.45329 |========================== e . 5.46153 |========================== f . 5.45227 |========================== g . 5.47725 |========================== h . 10.59130 |================================================== i . 10.58480 |================================================== j . 10.57400 |================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 16.34680 |================================================================ b . 16.43650 |================================================================= c . 16.53500 |================================================================= d . 6.58745 |========================== e . 6.58270 |========================== f . 6.59563 |========================== g . 6.60085 |========================== h . 12.54380 |================================================= i . 12.49870 |================================================= j . 12.51040 |================================================= Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a . 27.35 |================================== b . 27.24 |================================== c . 27.41 |================================== d . 55.17 |==================================================================== e . 55.09 |==================================================================== f . 55.15 |==================================================================== g . 55.17 |==================================================================== h . 33.95 |========================================== i . 33.87 |========================================== j . 33.93 |========================================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 39499000 |================================================================= b . 39486000 |================================================================= c . 39453000 |================================================================= d . 35228000 |========================================================== e . 35315000 |========================================================== f . 35271000 |========================================================== g . 35236000 |========================================================== h . 37145000 |============================================================= i . 37141000 |============================================================= j . 37120000 |============================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 59401000 |================================================================= b . 59296000 |================================================================= c . 57519000 |=============================================================== d . 52665000 |========================================================== e . 52827000 |========================================================== f . 52879000 |========================================================== g . 52854000 |========================================================== h . 51443000 |======================================================== i . 55841000 |============================================================= j . 55715000 |============================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 77181000 |================================================================= b . 77019000 |================================================================= c . 76924000 |================================================================= d . 67054000 |======================================================== e . 68846000 |========================================================== f . 68861000 |========================================================== g . 68678000 |========================================================== h . 72468000 |============================================================= i . 72491000 |============================================================= j . 72400000 |============================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 117490000 |=============================================================== b . 114010000 |============================================================== c . 118550000 |================================================================ d . 105650000 |========================================================= e . 105480000 |========================================================= f . 105740000 |========================================================= g . 104800000 |========================================================= h . 105280000 |========================================================= i . 109700000 |=========================================================== j . 111370000 |============================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 153850000 |================================================================ b . 153690000 |================================================================ c . 153670000 |================================================================ d . 138600000 |========================================================== e . 138620000 |========================================================== f . 138580000 |========================================================== g . 138460000 |========================================================== h . 145820000 |============================================================= i . 145920000 |============================================================= j . 145740000 |============================================================= Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 196220000 |============================================================== b . 196590000 |=============================================================== c . 194510000 |============================================================== d . 188930000 |============================================================ e . 191230000 |============================================================= f . 189880000 |============================================================ g . 190750000 |============================================================= h . 200930000 |================================================================ i . 198640000 |=============================================================== j . 200120000 |================================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 307540000 |================================================================ b . 305110000 |=============================================================== c . 306760000 |================================================================ d . 278030000 |========================================================== e . 277780000 |========================================================== f . 276390000 |========================================================== g . 277410000 |========================================================== h . 292620000 |============================================================= i . 292430000 |============================================================= j . 292490000 |============================================================= Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 369430000 |============================================================== b . 366930000 |============================================================== c . 366990000 |============================================================== d . 363310000 |============================================================= e . 357990000 |============================================================ f . 350450000 |=========================================================== g . 357810000 |============================================================ h . 378330000 |=============================================================== i . 377250000 |=============================================================== j . 381660000 |================================================================ Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 13909000 |================================================================ b . 14021000 |================================================================ c . 14225000 |================================================================= d . 12683000 |========================================================== e . 12366000 |========================================================= f . 12681000 |========================================================== g . 12256000 |======================================================== h . 12909000 |=========================================================== i . 13363000 |============================================================= j . 12899000 |=========================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 594230000 |=============================================================== b . 602470000 |================================================================ c . 603650000 |================================================================ d . 545360000 |========================================================== e . 545140000 |========================================================== f . 545020000 |========================================================== g . 543050000 |========================================================== h . 585850000 |============================================================== i . 583870000 |============================================================== j . 585670000 |============================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 699740000 |============================================================ b . 692760000 |============================================================ c . 674930000 |========================================================== d . 689150000 |=========================================================== e . 692920000 |============================================================ f . 693340000 |============================================================ g . 682070000 |=========================================================== h . 741420000 |================================================================ i . 735800000 |================================================================ j . 737120000 |================================================================ Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 27901000 |================================================================ b . 27736000 |================================================================ c . 28227000 |================================================================= d . 24627000 |========================================================= e . 25207000 |========================================================== f . 25199000 |========================================================== g . 22727000 |==================================================== h . 25648000 |=========================================================== i . 25910000 |============================================================ j . 26378000 |============================================================= Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 1183500000 |=============================================================== b . 1190300000 |=============================================================== c . 1184800000 |=============================================================== d . 1047100000 |======================================================= e . 1046600000 |======================================================= f . 1041900000 |======================================================= g . 1047100000 |======================================================= h . 1172400000 |============================================================== i . 1172900000 |============================================================== j . 1169900000 |============================================================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 1192100000 |====================================================== b . 1214200000 |======================================================= c . 1254800000 |========================================================= d . 1035000000 |=============================================== e . 1032000000 |=============================================== f . 1024600000 |============================================== g . 1033400000 |=============================================== h . 1352900000 |============================================================= i . 1394100000 |=============================================================== j . 1369800000 |============================================================== Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 52911000 |============================================================== b . 55588000 |================================================================= c . 55165000 |================================================================= d . 50258000 |=========================================================== e . 50380000 |=========================================================== f . 49977000 |========================================================== g . 49556000 |========================================================== h . 52890000 |============================================================== i . 52129000 |============================================================= j . 49781000 |========================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 2207700000 |=============================================================== b . 2212100000 |=============================================================== c . 2206800000 |=============================================================== d . 1059500000 |============================== e . 1057500000 |============================== f . 1057100000 |============================== g . 1056200000 |============================== h . 2057500000 |=========================================================== i . 2052600000 |========================================================== j . 2056500000 |=========================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 1994400000 |=============================================================== b . 2001900000 |=============================================================== c . 2010300000 |=============================================================== d . 1093300000 |================================== e . 1095400000 |================================== f . 1094600000 |================================== g . 1099300000 |================================== h . 1916800000 |============================================================ i . 1899700000 |============================================================ j . 1922300000 |============================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 109870000 |================================================================ b . 108080000 |=============================================================== c . 109140000 |================================================================ d . 99594000 |========================================================== e . 97005000 |========================================================= f . 99441000 |========================================================== g . 100170000 |========================================================== h . 104440000 |============================================================= i . 104780000 |============================================================= j . 104220000 |============================================================= Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 3005800000 |=============================================================== b . 2995400000 |=============================================================== c . 2999800000 |=============================================================== d . 1065200000 |====================== e . 1065100000 |====================== f . 1065300000 |====================== g . 1065700000 |====================== h . 2068300000 |=========================================== i . 2069900000 |=========================================== j . 2071000000 |=========================================== Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 2559800000 |=============================================================== b . 2571100000 |=============================================================== c . 2564900000 |=============================================================== d . 1120800000 |=========================== e . 1117800000 |=========================== f . 1120500000 |=========================== g . 1118200000 |=========================== h . 1995500000 |================================================= i . 1997000000 |================================================= j . 1999500000 |================================================= Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 216080000 |================================================================ b . 216150000 |================================================================ c . 214910000 |================================================================ d . 193850000 |========================================================= e . 196040000 |========================================================== f . 194500000 |========================================================== g . 194670000 |========================================================== h . 207590000 |============================================================= i . 209720000 |============================================================== j . 209490000 |============================================================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 425810000 |=============================================================== b . 429620000 |================================================================ c . 424400000 |=============================================================== d . 273760000 |========================================= e . 273480000 |========================================= f . 273390000 |========================================= g . 274070000 |========================================= h . 391680000 |========================================================== i . 393200000 |=========================================================== j . 393270000 |=========================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 622560000 |================================================================ b . 610950000 |=============================================================== c . 622630000 |================================================================ d . 282920000 |============================= e . 281830000 |============================= f . 283030000 |============================= g . 281730000 |============================= h . 512020000 |===================================================== i . 512310000 |===================================================== j . 511070000 |===================================================== Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 711640000 |=============================================================== b . 718140000 |================================================================ c . 715030000 |================================================================ d . 286250000 |========================== e . 285880000 |========================= f . 285920000 |========================= g . 286530000 |========================== h . 519700000 |============================================== i . 520140000 |============================================== j . 519440000 |============================================== TiDB Community Server 7.3 Test: oltp_read_write - Threads: 1 Queries Per Second > Higher Is Better a . 2540 |================================================== b . 2510 |================================================== c . 2485 |================================================= e . 3209 |================================================================ f . 3218 |================================================================ g . 3195 |=============================================================== h . 3480 |===================================================================== i . 3485 |===================================================================== j . 3479 |===================================================================== TiDB Community Server 7.3 Test: oltp_read_write - Threads: 16 Queries Per Second > Higher Is Better a . 38331 |======================================================= b . 36950 |===================================================== c . 37368 |===================================================== d . 36480 |==================================================== e . 36784 |===================================================== f . 36125 |==================================================== g . 36088 |==================================================== h . 47576 |==================================================================== i . 47501 |==================================================================== j . 47414 |==================================================================== TiDB Community Server 7.3 Test: oltp_read_write - Threads: 32 Queries Per Second > Higher Is Better a . 58974 |===================================================== b . 61520 |======================================================= c . 59630 |====================================================== d . 46977 |========================================== e . 46737 |========================================== f . 47141 |========================================== g . 46993 |========================================== h . 75486 |==================================================================== i . 75254 |==================================================================== j . 74252 |=================================================================== TiDB Community Server 7.3 Test: oltp_read_write - Threads: 64 Queries Per Second > Higher Is Better a . 79090 |======================================================== b . 80183 |========================================================= c . 78469 |======================================================== d . 55334 |======================================= e . 53893 |====================================== f . 54956 |======================================= g . 55301 |======================================= h . 95579 |==================================================================== i . 94261 |=================================================================== TiDB Community Server 7.3 Test: oltp_point_select - Threads: 1 Queries Per Second > Higher Is Better a . 4331 |================================================ b . 4405 |================================================= c . 4471 |================================================== d . 5898 |================================================================== e . 5976 |=================================================================== f . 5954 |=================================================================== h . 6125 |===================================================================== i . 6165 |===================================================================== TiDB Community Server 7.3 Test: oltp_read_write - Threads: 128 Queries Per Second > Higher Is Better a . 85757 |====================================================== b . 89099 |======================================================== d . 59727 |====================================== e . 60145 |====================================== f . 60310 |====================================== g . 59944 |====================================== h . 104180 |================================================================== i . 104620 |================================================================== j . 105802 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_index - Threads: 1 Queries Per Second > Higher Is Better a . 1212 |================================================== c . 1189 |================================================= d . 1479 |============================================================= e . 1490 |============================================================== f . 1483 |============================================================= g . 1481 |============================================================= h . 1666 |===================================================================== i . 1656 |===================================================================== j . 1660 |===================================================================== TiDB Community Server 7.3 Test: oltp_point_select - Threads: 16 Queries Per Second > Higher Is Better b . 67515 |===================================================== c . 65406 |=================================================== e . 70250 |======================================================= f . 70105 |======================================================= g . 69923 |====================================================== h . 87218 |==================================================================== i . 86471 |=================================================================== j . 87412 |==================================================================== TiDB Community Server 7.3 Test: oltp_point_select - Threads: 32 Queries Per Second > Higher Is Better a . 104627 |=================================================== b . 106180 |=================================================== d . 98149 |=============================================== e . 96907 |=============================================== f . 97368 |=============================================== g . 96840 |=============================================== h . 138538 |=================================================================== i . 138173 |=================================================================== j . 137618 |=================================================================== TiDB Community Server 7.3 Test: oltp_point_select - Threads: 64 Queries Per Second > Higher Is Better a . 127567 |=============================================== b . 130802 |================================================= d . 115675 |=========================================== e . 118657 |============================================ f . 119092 |============================================ g . 118549 |============================================ i . 180179 |=================================================================== j . 180581 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_index - Threads: 16 Queries Per Second > Higher Is Better a . 12558 |================================================== c . 12681 |=================================================== d . 12622 |=================================================== e . 12567 |================================================== f . 12692 |=================================================== g . 12627 |=================================================== h . 16965 |==================================================================== i . 16817 |=================================================================== j . 16972 |==================================================================== TiDB Community Server 7.3 Test: oltp_update_index - Threads: 32 Queries Per Second > Higher Is Better a . 18361 |=================================================== b . 17817 |================================================== c . 17565 |================================================= d . 17612 |================================================= e . 17117 |================================================ g . 17135 |================================================ h . 24286 |==================================================================== i . 23773 |================================================================== j . 24366 |==================================================================== TiDB Community Server 7.3 Test: oltp_update_index - Threads: 64 Queries Per Second > Higher Is Better b . 24371 |===================================================== c . 23324 |=================================================== d . 21108 |============================================== e . 21271 |============================================== f . 21067 |============================================== h . 31332 |==================================================================== i . 30522 |================================================================== j . 30638 |================================================================== TiDB Community Server 7.3 Test: oltp_point_select - Threads: 128 Queries Per Second > Higher Is Better a . 159242 |===================================================== b . 159728 |===================================================== c . 149962 |================================================== d . 129492 |=========================================== e . 129904 |=========================================== f . 130389 |============================================ h . 200327 |=================================================================== i . 198137 |================================================================== j . 197738 |================================================================== TiDB Community Server 7.3 Test: oltp_update_index - Threads: 128 Queries Per Second > Higher Is Better a . 27087 |================================================== b . 27464 |================================================== c . 26546 |================================================= e . 24611 |============================================= f . 24830 |============================================= g . 24574 |============================================= h . 37126 |==================================================================== i . 36141 |================================================================== j . 36644 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 1 Queries Per Second > Higher Is Better a . 1328 |================================================= b . 1312 |================================================= c . 1381 |=================================================== d . 1693 |=============================================================== e . 1708 |=============================================================== f . 1697 |=============================================================== g . 1705 |=============================================================== h . 1861 |===================================================================== i . 1848 |===================================================================== TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 16 Queries Per Second > Higher Is Better a . 18095 |==================================================== b . 18068 |==================================================== d . 18563 |===================================================== e . 18557 |===================================================== g . 18735 |====================================================== h . 23794 |==================================================================== i . 23541 |=================================================================== j . 23543 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 32 Queries Per Second > Higher Is Better a . 28735 |====================================================== b . 28914 |======================================================= d . 26273 |================================================== e . 26285 |================================================== f . 26695 |================================================== h . 36041 |==================================================================== i . 35650 |=================================================================== j . 35655 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 64 Queries Per Second > Higher Is Better a . 41281 |======================================================= b . 39759 |===================================================== c . 39106 |==================================================== d . 34224 |============================================= e . 33881 |============================================= f . 34470 |============================================== g . 34107 |============================================= h . 51191 |==================================================================== i . 50346 |=================================================================== j . 50304 |=================================================================== TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 128 Queries Per Second > Higher Is Better a . 51105 |===================================================== c . 52865 |======================================================= e . 42138 |============================================ f . 41424 |=========================================== g . 41695 |=========================================== h . 65816 |==================================================================== j . 64066 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 39.50 |==================================================================== b . 39.47 |==================================================================== c . 39.45 |==================================================================== d . 13.07 |======================= e . 12.94 |====================== f . 13.09 |======================= g . 13.07 |======================= h . 25.71 |============================================ i . 25.63 |============================================ j . 25.73 |============================================ Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 605.04 |================================================================== b . 605.73 |================================================================== c . 605.92 |================================================================== d . 606.10 |================================================================== e . 607.91 |================================================================== f . 607.82 |================================================================== g . 607.16 |================================================================== h . 613.05 |=================================================================== i . 612.98 |=================================================================== j . 614.23 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 1417.07 |================================================================== b . 1403.07 |================================================================= c . 1418.90 |================================================================== d . 508.09 |======================== e . 511.41 |======================== f . 508.21 |======================== g . 509.14 |======================== h . 1003.52 |=============================================== i . 999.46 |============================================== j . 1002.81 |=============================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 16.91 |=================================================================== b . 17.07 |==================================================================== c . 16.89 |=================================================================== d . 15.72 |=============================================================== e . 15.62 |============================================================== f . 15.72 |=============================================================== g . 15.69 |=============================================================== h . 15.92 |=============================================================== i . 15.99 |================================================================ j . 15.94 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 672.46 |=================================================================== b . 672.37 |=================================================================== c . 671.26 |=================================================================== d . 257.27 |========================== e . 257.89 |========================== f . 257.50 |========================== g . 257.28 |========================== h . 507.63 |=================================================== i . 508.36 |=================================================== j . 507.36 |=================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 35.63 |==================================================================== b . 35.64 |==================================================================== c . 35.68 |==================================================================== d . 31.05 |=========================================================== e . 30.99 |=========================================================== f . 31.03 |=========================================================== g . 31.06 |=========================================================== h . 31.49 |============================================================ i . 31.44 |============================================================ j . 31.50 |============================================================ Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 201.39 |=================================================================== b . 201.25 |=================================================================== c . 201.54 |=================================================================== d . 71.14 |======================== e . 71.27 |======================== f . 71.04 |======================== g . 70.93 |======================== h . 136.96 |============================================== i . 136.68 |============================================= j . 136.57 |============================================= Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 118.75 |=================================================================== b . 118.95 |=================================================================== c . 118.78 |=================================================================== d . 112.25 |=============================================================== e . 112.06 |=============================================================== f . 112.41 |=============================================================== g . 112.48 |=============================================================== h . 116.51 |================================================================== i . 116.89 |================================================================== j . 116.85 |================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 485.67 |=================================================================== b . 488.13 |=================================================================== c . 489.11 |=================================================================== d . 162.85 |====================== e . 163.14 |====================== f . 162.93 |====================== g . 162.99 |====================== h . 327.02 |============================================= i . 327.73 |============================================= j . 327.19 |============================================= Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 49.37 |==================================================================== b . 49.11 |==================================================================== c . 49.02 |==================================================================== d . 49.09 |==================================================================== e . 49.01 |==================================================================== f . 49.07 |==================================================================== g . 49.03 |==================================================================== h . 48.88 |=================================================================== i . 48.79 |=================================================================== j . 48.83 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 5137.01 |================================================================== b . 5138.83 |================================================================== c . 5153.66 |================================================================== d . 1599.21 |==================== e . 1599.15 |==================== f . 1600.53 |==================== g . 1602.52 |===================== h . 3324.82 |=========================================== i . 3327.19 |=========================================== j . 3324.70 |=========================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 4.6508 |============================================================== b . 4.6476 |============================================================== c . 4.6348 |============================================================== d . 4.9960 |=================================================================== e . 4.9859 |=================================================================== f . 4.9877 |=================================================================== g . 4.9787 |=================================================================== h . 4.8005 |================================================================ i . 4.8015 |================================================================ j . 4.8016 |================================================================ Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 215.64 |=================================================================== b . 215.93 |=================================================================== c . 215.65 |=================================================================== d . 71.92 |====================== e . 71.91 |====================== f . 71.94 |====================== g . 71.90 |====================== h . 144.12 |============================================= i . 144.00 |============================================= j . 144.05 |============================================= Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 111.01 |=================================================================== b . 110.92 |=================================================================== c . 111.03 |=================================================================== d . 111.11 |=================================================================== e . 111.09 |=================================================================== f . 110.89 |=================================================================== g . 110.98 |=================================================================== h . 110.81 |=================================================================== i . 110.98 |=================================================================== j . 110.90 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 49.33 |==================================================================== b . 49.17 |==================================================================== c . 47.15 |================================================================= d . 16.16 |====================== e . 16.14 |====================== f . 16.13 |====================== g . 16.07 |====================== h . 32.00 |============================================ i . 31.96 |============================================ j . 32.06 |============================================ Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 485.72 |================================================================ b . 487.36 |================================================================ c . 507.48 |=================================================================== d . 493.60 |================================================================= e . 494.26 |================================================================= f . 494.22 |================================================================= g . 495.60 |================================================================= h . 495.22 |================================================================= i . 494.50 |================================================================= j . 494.01 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 489.12 |=================================================================== b . 489.45 |=================================================================== c . 487.05 |=================================================================== d . 163.56 |====================== e . 162.93 |====================== f . 162.90 |====================== g . 163.23 |====================== h . 326.93 |============================================= i . 326.78 |============================================= j . 326.90 |============================================= Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 49.01 |==================================================================== b . 48.97 |==================================================================== c . 49.21 |==================================================================== d . 48.87 |==================================================================== e . 49.06 |==================================================================== f . 49.07 |==================================================================== g . 48.98 |==================================================================== h . 48.89 |==================================================================== i . 48.89 |==================================================================== j . 48.89 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 218.15 |=================================================================== b . 219.53 |=================================================================== c . 218.52 |=================================================================== d . 72.46 |====================== e . 72.66 |====================== f . 72.57 |====================== g . 72.69 |====================== h . 145.48 |============================================ i . 145.65 |============================================ j . 145.37 |============================================ Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 109.80 |=================================================================== b . 109.23 |================================================================== c . 109.58 |=================================================================== d . 110.11 |=================================================================== e . 109.97 |=================================================================== f . 110.00 |=================================================================== g . 109.90 |=================================================================== h . 109.79 |=================================================================== i . 109.74 |=================================================================== j . 109.86 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 322.25 |=================================================================== b . 321.18 |=================================================================== c . 321.51 |=================================================================== d . 108.91 |======================= e . 109.09 |======================= f . 109.09 |======================= g . 109.22 |======================= h . 216.24 |============================================= i . 216.22 |============================================= j . 216.51 |============================================= Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 74.32 |==================================================================== b . 74.56 |==================================================================== c . 74.50 |==================================================================== d . 73.31 |=================================================================== e . 73.26 |=================================================================== f . 73.22 |=================================================================== g . 73.19 |=================================================================== h . 73.88 |=================================================================== i . 73.94 |=================================================================== j . 73.78 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 68.60 |==================================================================== b . 68.66 |==================================================================== c . 68.63 |==================================================================== d . 24.48 |======================== e . 24.47 |======================== f . 24.52 |======================== g . 24.46 |======================== h . 47.13 |=============================================== i . 47.35 |=============================================== j . 47.33 |=============================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 347.66 |=================================================================== b . 347.22 |=================================================================== c . 347.37 |=================================================================== d . 325.88 |=============================================================== e . 325.74 |=============================================================== f . 324.96 |=============================================================== g . 325.51 |=============================================================== h . 337.96 |================================================================= i . 336.77 |================================================================= j . 336.68 |================================================================= Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 718.92 |=================================================================== b . 717.97 |=================================================================== c . 716.14 |=================================================================== d . 240.55 |====================== e . 240.23 |====================== f . 240.16 |====================== g . 239.52 |====================== h . 488.06 |============================================= i . 486.71 |============================================= j . 487.23 |============================================= Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 33.34 |==================================================================== b . 33.38 |==================================================================== c . 33.46 |==================================================================== d . 33.22 |==================================================================== e . 33.26 |==================================================================== f . 33.28 |==================================================================== g . 33.37 |==================================================================== h . 32.75 |=================================================================== i . 32.84 |=================================================================== j . 32.81 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 158.92 |================================================================= b . 159.06 |================================================================= c . 164.61 |=================================================================== d . 55.61 |======================= e . 55.46 |======================= f . 55.54 |======================= g . 55.43 |======================= h . 109.03 |============================================ i . 109.46 |============================================= j . 109.41 |============================================= Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 150.59 |=================================================================== b . 150.61 |=================================================================== c . 145.26 |================================================================= d . 143.76 |================================================================ e . 144.10 |================================================================ f . 143.69 |================================================================ g . 144.11 |================================================================ h . 146.12 |================================================================= i . 145.83 |================================================================= j . 145.90 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 39.44 |==================================================================== b . 39.45 |==================================================================== c . 39.42 |==================================================================== d . 13.13 |======================= e . 13.12 |======================= f . 13.09 |======================= g . 13.06 |======================= h . 25.79 |============================================ i . 25.70 |============================================ j . 25.77 |============================================ Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 605.76 |================================================================== b . 606.67 |================================================================== c . 605.88 |================================================================== d . 606.58 |================================================================== e . 606.76 |================================================================== f . 606.79 |================================================================== g . 608.72 |================================================================== h . 613.16 |=================================================================== i . 613.64 |=================================================================== j . 612.52 |=================================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 26.20 |========================= b . 26.24 |========================= c . 26.12 |========================= d . 72.00 |==================================================================== e . 71.44 |=================================================================== f . 71.96 |==================================================================== g . 72.01 |==================================================================== h . 38.40 |==================================== i . 38.57 |==================================== j . 38.51 |==================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 66.42 |======================== b . 66.64 |======================== c . 66.72 |======================== d . 182.99 |=================================================================== e . 182.56 |=================================================================== f . 181.70 |================================================================== g . 183.29 |=================================================================== h . 99.54 |==================================== i . 99.35 |==================================== j . 99.29 |==================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 33.22 |========================= b . 33.17 |========================= c . 33.03 |========================= d . 90.03 |==================================================================== e . 90.31 |==================================================================== f . 90.26 |==================================================================== g . 90.63 |==================================================================== h . 49.10 |===================================== i . 48.69 |===================================== j . 48.82 |===================================== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 254.88 |========================= b . 255.30 |========================= c . 254.72 |========================= d . 670.87 |=================================================================== e . 670.64 |=================================================================== f . 667.87 |=================================================================== g . 669.09 |=================================================================== h . 352.40 |=================================== i . 351.66 |=================================== j . 351.38 |=================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 80.54 |======================== b . 80.76 |======================== c . 80.41 |======================== d . 224.15 |=================================================================== e . 224.10 |=================================================================== f . 223.95 |=================================================================== g . 224.12 |=================================================================== h . 119.30 |==================================== i . 119.42 |==================================== j . 119.04 |==================================== OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 30.41 |==================================================================== b . 30.44 |==================================================================== c . 30.43 |==================================================================== d . 10.47 |======================= e . 10.47 |======================= f . 10.48 |======================= g . 10.48 |======================= h . 19.82 |============================================ i . 19.83 |============================================ j . 19.84 |============================================ OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 393.60 |================================= b . 393.23 |================================= c . 393.37 |================================= d . 761.59 |=============================================================== e . 761.16 |=============================================================== f . 760.57 |=============================================================== g . 759.92 |=============================================================== h . 804.58 |=================================================================== i . 804.75 |=================================================================== j . 805.38 |=================================================================== OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 282.55 |=================================================================== b . 284.22 |=================================================================== c . 282.67 |=================================================================== d . 107.02 |========================= e . 107.27 |========================= f . 107.39 |========================= g . 107.04 |========================= h . 197.94 |=============================================== i . 193.80 |============================================== j . 194.82 |============================================== OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 42.44 |=================================== b . 42.20 |=================================== c . 42.43 |=================================== d . 74.71 |============================================================== e . 74.50 |============================================================= f . 74.43 |============================================================= g . 74.71 |============================================================== h . 80.77 |=================================================================== i . 82.49 |==================================================================== j . 82.09 |==================================================================== OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 283.97 |=================================================================== b . 284.99 |=================================================================== c . 284.31 |=================================================================== d . 106.90 |========================= e . 107.24 |========================= f . 106.76 |========================= g . 107.24 |========================= h . 196.07 |============================================== i . 197.66 |============================================== j . 196.26 |============================================== OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 42.24 |=================================== b . 42.09 |=================================== c . 42.19 |=================================== d . 74.81 |============================================================== e . 74.54 |============================================================== f . 74.87 |============================================================== g . 74.58 |============================================================== h . 81.58 |==================================================================== i . 80.88 |=================================================================== j . 81.50 |==================================================================== OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 2033.17 |================================================================== b . 2028.01 |================================================================== c . 2029.79 |================================================================== d . 797.64 |========================== e . 793.75 |========================== f . 791.74 |========================== g . 793.90 |========================== h . 1481.71 |================================================ i . 1488.04 |================================================ j . 1483.25 |================================================ OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 5.89 |===================================== b . 5.91 |===================================== c . 5.90 |===================================== d . 10.01 |=============================================================== e . 10.06 |=============================================================== f . 10.09 |================================================================ g . 10.06 |=============================================================== h . 10.78 |==================================================================== i . 10.74 |==================================================================== j . 10.77 |==================================================================== OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 56.01 |==================================================================== b . 56.06 |==================================================================== c . 56.02 |==================================================================== d . 20.03 |======================== e . 20.00 |======================== f . 20.01 |======================== g . 20.05 |======================== h . 37.82 |============================================== i . 37.57 |============================================== j . 37.48 |============================================= OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 213.94 |================================== b . 213.62 |================================== c . 213.79 |================================== d . 398.52 |=============================================================== e . 398.91 |=============================================================== f . 399.24 |=============================================================== g . 398.13 |=============================================================== h . 421.80 |================================================================== i . 425.68 |=================================================================== j . 425.88 |=================================================================== OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 5882.91 |================================================================== b . 5836.27 |================================================================= c . 5840.53 |================================================================== d . 2564.78 |============================= e . 2562.54 |============================= f . 2539.97 |============================ g . 2557.66 |============================= h . 4803.65 |====================================================== i . 4848.42 |====================================================== j . 4892.27 |======================================================= OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 2.03 |========================================== b . 2.05 |=========================================== c . 2.05 |=========================================== d . 3.11 |================================================================= e . 3.11 |================================================================= f . 3.14 |================================================================= g . 3.12 |================================================================= h . 3.32 |===================================================================== i . 3.29 |==================================================================== j . 3.26 |==================================================================== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 748.44 |================================================================== b . 750.49 |================================================================== c . 757.38 |=================================================================== d . 344.67 |============================== e . 342.81 |============================== f . 343.49 |============================== g . 341.36 |============================== h . 643.80 |========================================================= i . 642.90 |========================================================= j . 648.27 |========================================================= OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 16.02 |============================================ b . 15.98 |============================================ c . 15.83 |=========================================== d . 23.20 |=============================================================== e . 23.32 |================================================================ f . 23.28 |================================================================ g . 23.42 |================================================================ h . 24.84 |==================================================================== i . 24.87 |==================================================================== j . 24.67 |=================================================================== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2873.24 |================================================================== b . 2880.58 |================================================================== c . 2881.14 |================================================================== d . 1175.67 |=========================== e . 1174.60 |=========================== f . 1180.85 |=========================== g . 1175.58 |=========================== h . 2252.70 |==================================================== i . 2264.93 |==================================================== j . 2254.72 |==================================================== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 4.17 |========================================= b . 4.16 |======================================== c . 4.16 |======================================== d . 6.79 |================================================================== e . 6.80 |================================================================== f . 6.76 |================================================================== g . 6.79 |================================================================== h . 7.09 |===================================================================== i . 7.05 |===================================================================== j . 7.08 |===================================================================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 2945.26 |================================================================= b . 2986.46 |================================================================== c . 2987.33 |================================================================== d . 1039.61 |======================= e . 1039.82 |======================= f . 1038.47 |======================= g . 1039.37 |======================= h . 1963.90 |=========================================== i . 1964.61 |=========================================== j . 1964.71 |=========================================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 16.26 |==================================================================== b . 16.02 |=================================================================== c . 16.02 |=================================================================== d . 15.36 |================================================================ e . 15.36 |================================================================ f . 15.38 |================================================================ g . 15.37 |================================================================ h . 16.27 |==================================================================== i . 16.27 |==================================================================== j . 16.27 |==================================================================== OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 9837.58 |================================================================== b . 9849.07 |================================================================== c . 9845.27 |================================================================== d . 3540.88 |======================== e . 3544.18 |======================== f . 3548.78 |======================== g . 3533.64 |======================== h . 6653.86 |============================================= i . 6646.91 |============================================= j . 6638.24 |============================================ OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 4.86 |===================================================================== b . 4.85 |===================================================================== c . 4.86 |===================================================================== d . 4.51 |================================================================ e . 4.51 |================================================================ f . 4.50 |================================================================ g . 4.52 |================================================================ h . 4.80 |==================================================================== i . 4.81 |==================================================================== j . 4.81 |==================================================================== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 842.91 |================================================================== b . 854.51 |=================================================================== c . 849.30 |=================================================================== d . 370.57 |============================= e . 373.64 |============================= f . 369.26 |============================= g . 372.26 |============================= h . 710.69 |======================================================== i . 709.73 |======================================================== j . 709.75 |======================================================== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 14.23 |=========================================== b . 14.03 |========================================== c . 14.12 |=========================================== d . 21.57 |================================================================= e . 21.40 |================================================================= f . 21.65 |================================================================= g . 21.47 |================================================================= h . 22.50 |==================================================================== i . 22.53 |==================================================================== j . 22.53 |==================================================================== OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 317.22 |=================================================================== b . 317.28 |=================================================================== c . 317.33 |=================================================================== d . 124.12 |========================== e . 123.61 |========================== f . 124.30 |========================== g . 123.41 |========================== h . 234.18 |================================================= i . 233.65 |================================================= j . 233.88 |================================================= OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 37.80 |====================================== b . 37.79 |====================================== c . 37.79 |====================================== d . 64.41 |================================================================ e . 64.68 |================================================================ f . 64.31 |================================================================ g . 64.77 |================================================================ h . 68.27 |==================================================================== i . 68.42 |==================================================================== j . 68.35 |==================================================================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 5776.94 |================================================================== b . 5780.44 |================================================================== c . 5802.65 |================================================================== d . 2013.77 |======================= e . 2007.53 |======================= f . 2004.76 |======================= g . 2006.09 |======================= h . 3780.80 |=========================================== i . 3777.75 |=========================================== j . 3783.65 |=========================================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.28 |==================================================================== b . 8.27 |=================================================================== c . 8.24 |=================================================================== d . 7.93 |================================================================= e . 7.96 |================================================================= f . 7.97 |================================================================= g . 7.96 |================================================================= h . 8.46 |===================================================================== i . 8.46 |===================================================================== j . 8.45 |===================================================================== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 2454.09 |================================================================== b . 2450.26 |================================================================== c . 2455.51 |================================================================== d . 1036.99 |============================ e . 1028.64 |============================ f . 1041.87 |============================ g . 1031.60 |============================ h . 2180.83 |=========================================================== i . 2224.08 |============================================================ j . 2194.36 |=========================================================== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 4.88 |=========================================== b . 4.89 |=========================================== c . 4.88 |=========================================== d . 7.70 |==================================================================== e . 7.77 |===================================================================== f . 7.67 |==================================================================== g . 7.74 |===================================================================== h . 7.33 |================================================================= i . 7.18 |================================================================ j . 7.28 |================================================================= OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 1560.03 |================================================================== b . 1546.02 |================================================================= c . 1551.63 |================================================================== d . 532.59 |======================= e . 530.99 |====================== f . 533.74 |======================= g . 538.01 |======================= h . 1034.35 |============================================ i . 1036.11 |============================================ j . 1012.98 |=========================================== OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 30.72 |================================================================== b . 31.00 |=================================================================== c . 30.89 |=================================================================== d . 30.02 |================================================================= e . 30.10 |================================================================= f . 29.95 |================================================================= g . 29.72 |================================================================ h . 30.92 |=================================================================== i . 30.87 |================================================================== j . 31.57 |==================================================================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 86884.64 |================================================================= b . 87359.23 |================================================================= c . 86789.80 |================================================================= d . 32002.62 |======================== e . 32032.06 |======================== f . 31951.64 |======================== g . 32008.03 |======================== h . 59615.88 |============================================ i . 59654.98 |============================================ j . 59505.78 |============================================ OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.54 |===================================================================== b . 0.54 |===================================================================== c . 0.54 |===================================================================== d . 0.49 |=============================================================== e . 0.49 |=============================================================== f . 0.49 |=============================================================== g . 0.49 |=============================================================== h . 0.53 |==================================================================== i . 0.53 |==================================================================== j . 0.53 |==================================================================== OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1244.69 |================================================================== b . 1239.67 |================================================================== c . 1237.29 |================================================================== d . 395.66 |===================== e . 432.32 |======================= f . 431.94 |======================= g . 432.20 |======================= h . 810.71 |=========================================== i . 815.13 |=========================================== j . 812.76 |=========================================== OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 38.50 |================================================================= b . 38.66 |================================================================= c . 38.75 |================================================================= d . 40.40 |==================================================================== e . 36.98 |============================================================== f . 37.01 |============================================================== g . 36.98 |============================================================== h . 39.44 |================================================================== i . 39.23 |================================================================== j . 39.34 |================================================================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 120606.38 |=============================================================== b . 120728.22 |=============================================================== c . 123484.28 |================================================================ d . 44958.07 |======================= e . 44933.27 |======================= f . 44968.43 |======================= g . 45097.99 |======================= h . 68931.35 |==================================== i . 68945.32 |==================================== j . 68895.50 |==================================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.34 |=================================================================== b . 0.34 |=================================================================== c . 0.34 |=================================================================== d . 0.35 |===================================================================== e . 0.35 |===================================================================== f . 0.35 |===================================================================== g . 0.35 |===================================================================== h . 0.35 |===================================================================== i . 0.35 |===================================================================== j . 0.35 |===================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 248095 |=================================================== b . 256661 |===================================================== c . 270480 |======================================================== d . 197866 |========================================= e . 195798 |======================================== f . 196287 |========================================= g . 197092 |========================================= h . 324575 |=================================================================== i . 318109 |================================================================== j . 316485 |================================================================= Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 460829 |================================================ b . 469484 |================================================= c . 401606 |========================================== d . 578035 |============================================================ e . 552486 |========================================================= f . 578035 |============================================================ g . 546448 |========================================================= h . 645161 |=================================================================== i . 581395 |============================================================ j . 617284 |================================================================ Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 420168 |=================================================== b . 404858 |================================================= c . 403226 |================================================= d . 529101 |================================================================ e . 294985 |==================================== f . 523560 |=============================================================== g . 460829 |======================================================== h . 526316 |=============================================================== i . 555556 |=================================================================== j . 370370 |============================================= Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 1126126 |=========================================================== b . 1020408 |====================================================== c . 683995 |==================================== d . 278319 |=============== e . 251004 |============= f . 1221001 |================================================================ g . 654022 |================================== h . 1233046 |================================================================= i . 253678 |============= j . 1251564 |================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 43649 |================================================= b . 41288 |============================================== c . 43937 |================================================= d . 58617 |================================================================== e . 58617 |================================================================== f . 58343 |================================================================= g . 60680 |==================================================================== h . 58720 |================================================================== i . 58997 |================================================================== j . 59347 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 91075 |=========================================================== b . 73801 |================================================ c . 90580 |========================================================== d . 101010 |================================================================= e . 100604 |================================================================= f . 96993 |=============================================================== g . 103950 |=================================================================== h . 100402 |================================================================= i . 102249 |================================================================== j . 95602 |============================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 215332 |=========== b . 173822 |========= c . 185874 |========= d . 1248439 |=============================================================== e . 1204819 |============================================================= f . 1303781 |================================================================== g . 1107420 |======================================================== h . 323729 |================ i . 382995 |=================== j . 289101 |=============== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 70522 |===================================================== b . 73046 |======================================================= c . 77101 |========================================================== d . 82372 |============================================================== e . 82237 |============================================================== f . 81633 |============================================================= g . 82237 |============================================================== h . 83056 |============================================================== i . 90827 |==================================================================== j . 89206 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 40733 |============================================== b . 37425 |========================================== c . 35075 |======================================= d . 57971 |================================================================= e . 58824 |================================================================== f . 59382 |=================================================================== g . 58928 |================================================================== h . 60496 |==================================================================== i . 59032 |================================================================== j . 58005 |================================================================= Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 53665 |================================================== b . 52119 |================================================ c . 52260 |================================================ d . 72134 |=================================================================== e . 70897 |================================================================== f . 69920 |================================================================= g . 72706 |=================================================================== h . 73411 |==================================================================== i . 72464 |=================================================================== j . 73153 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 87566 |======================================================== b . 90827 |========================================================== c . 73475 |=============================================== d . 105708 |=================================================================== e . 98039 |============================================================== f . 99404 |=============================================================== g . 102564 |================================================================= h . 105263 |=================================================================== i . 102041 |================================================================= j . 97371 |============================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 98932 |========================================================== b . 97314 |========================================================= c . 90147 |===================================================== d . 111012 |================================================================= e . 113327 |=================================================================== f . 111198 |================================================================== g . 110828 |================================================================= h . 113404 |=================================================================== i . 110436 |================================================================= j . 113572 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 75529 |============================================================= b . 69348 |======================================================== c . 67159 |====================================================== d . 82102 |=================================================================== e . 83822 |==================================================================== f . 79491 |================================================================ g . 80386 |================================================================= h . 79808 |================================================================= i . 82372 |=================================================================== j . 83472 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 73239 |======================================================== b . 71679 |======================================================= c . 74638 |========================================================= d . 83921 |================================================================ e . 84041 |================================================================= f . 82501 |=============================================================== g . 84810 |================================================================= h . 85121 |================================================================= i . 86311 |================================================================== j . 88550 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 46145 |=========================================== b . 44437 |========================================= c . 44001 |========================================= d . 71296 |================================================================== e . 70057 |================================================================= f . 70537 |================================================================= g . 70922 |================================================================== h . 73611 |==================================================================== i . 72010 |=================================================================== j . 72754 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 90114 |===================================================== b . 86715 |=================================================== c . 97031 |========================================================= d . 112613 |================================================================== e . 113225 |================================================================== f . 110803 |================================================================= g . 113895 |=================================================================== h . 111782 |================================================================= i . 114692 |=================================================================== j . 110693 |================================================================= Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 73078 |========================================================= b . 72129 |======================================================== c . 66827 |==================================================== d . 81208 |=============================================================== e . 84360 |================================================================== f . 85815 |=================================================================== g . 85763 |=================================================================== h . 84310 |================================================================== i . 85215 |================================================================== j . 87161 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 529101 |====================================== b . 862069 |============================================================== c . 657895 |================================================ d . 632911 |============================================== e . 389105 |============================ f . 709220 |=================================================== g . 561798 |========================================= h . 925926 |=================================================================== i . 869565 |=============================================================== j . 751880 |====================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 515464 |========================================= b . 458716 |==================================== c . 729927 |========================================================== d . 591716 |=============================================== e . 613497 |================================================= f . 478469 |====================================== g . 487805 |======================================= h . 595238 |=============================================== i . 847458 |=================================================================== j . 684932 |====================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 2173913 |================================================================== b . 1941748 |=========================================================== c . 284252 |========= d . 1818182 |======================================================= e . 320924 |========== f . 1795332 |======================================================= g . 2036660 |============================================================== h . 426439 |============= i . 1930502 |=========================================================== j . 1941748 |=========================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 1886792 |================================================== b . 161970 |==== c . 1893939 |================================================== d . 600601 |================ e . 235627 |====== f . 1964637 |==================================================== g . 2049180 |====================================================== h . 2352941 |============================================================== i . 2506266 |================================================================== j . 558036 |=============== Kripke 1.2.6 Throughput FoM > Higher Is Better d . 240994500 |=========================================== e . 236243900 |=========================================== f . 236591000 |=========================================== g . 237175700 |=========================================== h . 354808000 |================================================================ i . 350151200 |=============================================================== j . 349019800 |=============================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 772162 |=================================================================== b . 768517 |=================================================================== c . 762529 |================================================================== d . 298064 |========================== e . 296125 |========================== f . 295603 |========================== g . 295522 |========================== h . 572500 |================================================== i . 570458 |================================================= j . 569066 |================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better d . 1.657 |==================================================================== e . 1.654 |==================================================================== f . 1.657 |==================================================================== g . 1.648 |==================================================================== h . 1.284 |===================================================== i . 1.288 |===================================================== j . 1.245 |=================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better d . 38.11 |==================================================================== e . 38.07 |==================================================================== f . 38.02 |==================================================================== g . 37.95 |==================================================================== h . 26.11 |=============================================== i . 26.39 |=============================================== j . 25.56 |============================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better d . 98.98 |==================================================================== e . 99.42 |==================================================================== f . 97.99 |=================================================================== g . 97.53 |=================================================================== h . 68.57 |=============================================== i . 68.24 |=============================================== j . 68.52 |=============================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better d . 24.85 |=================================== e . 24.83 |=================================== f . 24.89 |=================================== g . 24.96 |=================================== h . 48.91 |==================================================================== i . 48.72 |==================================================================== j . 48.71 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 22.35 |=================================== e . 22.29 |=================================== f . 22.27 |================================== g . 22.26 |================================== h . 43.84 |==================================================================== i . 43.77 |==================================================================== j . 43.90 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better d . 21.89 |================================== e . 21.99 |================================== f . 21.77 |================================== g . 21.83 |================================== h . 43.57 |=================================================================== i . 43.81 |==================================================================== j . 43.93 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better d . 27.74 |=================================== e . 27.83 |=================================== f . 27.83 |=================================== g . 27.91 |=================================== h . 54.22 |==================================================================== i . 54.19 |==================================================================== j . 54.15 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 23.35 |================================== e . 23.53 |=================================== f . 23.50 |=================================== g . 23.71 |=================================== h . 45.92 |==================================================================== i . 46.09 |==================================================================== j . 46.02 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better d . 22.39 |================================= e . 22.34 |================================= f . 22.44 |================================= g . 22.42 |================================= h . 45.19 |=================================================================== i . 45.71 |==================================================================== j . 45.40 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better d . 191 |===================================== e . 190 |===================================== f . 191 |===================================== g . 191 |===================================== h . 363 |====================================================================== i . 363 |====================================================================== j . 363 |====================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better d . 487 |===================================== e . 487 |===================================== f . 488 |===================================== g . 489 |===================================== h . 926 |====================================================================== i . 922 |====================================================================== j . 922 |====================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.13332 |================================================================== e . 2.12570 |================================================================== f . 2.13062 |================================================================== g . 2.11813 |================================================================== h . 1.14749 |==================================== i . 1.15012 |==================================== j . 1.15578 |==================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.558240 |================================================================ e . 1.549110 |================================================================ f . 1.572820 |================================================================= g . 1.551180 |================================================================ h . 0.778543 |================================ i . 0.798540 |================================= j . 0.768314 |================================ oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1.337890 |================================================================= e . 1.338610 |================================================================= f . 1.341830 |================================================================= g . 1.335640 |================================================================= h . 0.734461 |==================================== i . 0.735094 |==================================== j . 0.731618 |=================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 3.81576 |================================================================== e . 3.84421 |================================================================== f . 3.81823 |================================================================== g . 3.82381 |================================================================== h . 3.72247 |================================================================ i . 3.65907 |=============================================================== j . 3.68087 |=============================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.628236 |================================================================ e . 0.633975 |================================================================= f . 0.630325 |================================================================= g . 0.629108 |================================================================= h . 0.426426 |============================================ i . 0.427512 |============================================ j . 0.430270 |============================================ oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 3.05991 |================================================================== e . 3.06370 |================================================================== f . 3.05674 |================================================================== g . 3.05458 |================================================================== h . 1.78170 |====================================== i . 1.78876 |======================================= j . 1.78691 |====================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 3.37782 |================================================================== e . 3.38436 |================================================================== f . 3.37956 |================================================================== g . 3.38156 |================================================================== h . 1.73381 |================================== i . 1.73499 |================================== j . 1.73501 |================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.847805 |================================================================= e . 0.844434 |================================================================= f . 0.850691 |================================================================= g . 0.843492 |================================================================ h . 0.440006 |================================== i . 0.440368 |================================== j . 0.440156 |================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1.91374 |================================================================== e . 1.91781 |================================================================== f . 1.91422 |================================================================== g . 1.91274 |================================================================== h . 1.04100 |==================================== i . 1.04312 |==================================== j . 1.04333 |==================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.49408 |================================================================ e . 2.56522 |================================================================== f . 2.49714 |================================================================ g . 2.51441 |================================================================= h . 1.74203 |============================================= i . 1.64478 |========================================== j . 1.75453 |============================================= oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.652259 |====================== e . 0.657610 |====================== f . 0.653182 |====================== g . 0.647700 |====================== h . 0.892701 |============================== i . 1.941900 |================================================================= j . 0.880016 |============================= oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1.03749 |================================= e . 1.14432 |==================================== f . 1.00136 |=============================== g . 1.12723 |=================================== h . 2.09880 |================================================================== i . 1.24308 |======================================= j . 1.94941 |============================================================= oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 1.257580 |================================================================ e . 1.280430 |================================================================= f . 1.206530 |============================================================= g . 1.279180 |================================================================= h . 0.926283 |=============================================== i . 0.931793 |=============================================== j . 0.936001 |================================================ oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.603950 |================================================================ e . 0.575794 |============================================================= f . 0.600834 |================================================================ g . 0.612320 |================================================================= h . 0.302460 |================================ i . 0.301535 |================================ j . 0.309278 |================================= oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1.028750 |=============================================================== e . 1.054250 |================================================================= f . 1.061440 |================================================================= g . 1.045670 |================================================================ h . 0.704550 |=========================================== i . 0.644252 |======================================= j . 0.714970 |============================================ oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 1641.92 |================================================================== e . 1641.00 |================================================================== f . 1636.76 |================================================================== g . 1637.37 |================================================================== h . 986.96 |======================================== i . 991.07 |======================================== j . 988.59 |======================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1642.51 |================================================================== e . 1639.36 |================================================================== f . 1636.44 |================================================================== g . 1631.99 |================================================================== h . 993.56 |======================================== i . 987.36 |======================================== j . 994.61 |======================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1643.99 |================================================================== e . 1643.97 |================================================================== f . 1642.35 |================================================================== g . 1641.40 |================================================================== h . 987.84 |======================================== i . 985.74 |======================================== j . 991.12 |======================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 838.52 |================================================================== e . 849.71 |=================================================================== f . 851.49 |=================================================================== g . 848.03 |=================================================================== h . 564.12 |============================================ i . 566.18 |============================================= j . 569.80 |============================================= oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 849.16 |=================================================================== e . 851.66 |=================================================================== f . 849.34 |=================================================================== g . 837.60 |================================================================== h . 568.75 |============================================= i . 564.45 |============================================ j . 563.58 |============================================ oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 847.38 |=================================================================== e . 841.08 |================================================================== f . 845.31 |=================================================================== g . 847.42 |=================================================================== h . 568.65 |============================================= i . 563.33 |============================================= j . 566.39 |============================================= Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.72 |==================================== e . 0.72 |==================================== f . 0.72 |==================================== g . 0.72 |==================================== h . 1.37 |===================================================================== i . 1.37 |===================================================================== j . 1.37 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.72 |==================================== e . 0.72 |==================================== f . 0.72 |==================================== g . 0.72 |==================================== h . 1.38 |===================================================================== i . 1.38 |===================================================================== j . 1.38 |===================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.34 |==================================== e . 0.34 |==================================== f . 0.34 |==================================== g . 0.34 |==================================== h . 0.65 |===================================================================== i . 0.65 |===================================================================== j . 0.65 |===================================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better h . 3357.9 |=================================================================== i . 3365.4 |=================================================================== j . 3371.6 |=================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better h . 116781.5 |================================================================= i . 117199.0 |================================================================= j . 117263.3 |=================================================================