AMD EPYC Benchmarks AMD EPYC Genoa-X and Bergamo benchmarks for a future article. a: Processor: 2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: 2 x AMD EPYC 9554 64-Core @ 3.10GHz (128 Cores / 256 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.0.1 20230315, File-System: ext4, Screen Resolution: 1920x1080 e: Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.0.1 20230315, File-System: ext4, Screen Resolution: 1920x1080 f: Processor: 2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 g: Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 h: Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 i: Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 j: Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 k: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 l: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 m: Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS: Ubuntu 23.04, Kernel: 6.2.0-23-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Watts d . MIN: 62 AVG: 597 MAX: 820 nekRS 23.0 Input: Kershaw flops/rank > Higher Is Better a . 8976140000 |============================================= b . 12344300000 |============================================================== c . 7858410000 |======================================= d . 8629040000 |=========================================== g . 2849820000 |============== h . 2899900000 |=============== i . 4631900000 |======================= j . 4648110000 |======================= k . 4289210000 |====================== l . 4265270000 |===================== m . 4197250000 |===================== nekRS 23.0 Input: TurboPipe Periodic flops/rank > Higher Is Better a . 5439060000 |======================================================= b . 6253090000 |=============================================================== c . 5350930000 |====================================================== d . 5969180000 |============================================================ g . 4031450000 |========================================= h . 4009590000 |======================================== i . 3219980000 |================================ j . 3228050000 |================================= k . 3918010000 |======================================= l . 3951770000 |======================================== m . 3966920000 |======================================== nekRS 23.0 Input: Kershaw flops/rank Per Watt > Higher Is Better d . 12555726.17 |============================================================== nekRS 23.0 Input: TurboPipe Periodic flops/rank Per Watt > Higher Is Better d . 8431421.77 |=============================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second Per Watt > Higher Is Better d . 0.576 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second Per Watt > Higher Is Better d . 0.691 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second Per Watt > Higher Is Better d . 0.943 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second Per Watt > Higher Is Better d . 0.681 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second Per Watt > Higher Is Better d . 0.801 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second Per Watt > Higher Is Better d . 0.737 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 203.04 |================================================================ b . 158.57 |================================================== c . 191.75 |============================================================ d . 213.05 |=================================================================== g . 131.08 |========================================= h . 131.45 |========================================= i . 64.72 |==================== j . 64.78 |==================== k . 70.43 |====================== l . 70.69 |====================== m . 70.95 |====================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 209.59 |============================================================== b . 163.58 |================================================ c . 202.86 |============================================================ d . 226.48 |=================================================================== g . 117.38 |=================================== h . 117.30 |=================================== i . 57.93 |================= j . 57.83 |================= k . 88.22 |========================== l . 87.56 |========================== m . 87.46 |========================== SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second Per Watt > Higher Is Better d . 0.022 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 220.28 |============================================================== b . 168.50 |=============================================== c . 210.39 |=========================================================== d . 238.74 |=================================================================== g . 88.07 |========================= h . 78.84 |====================== i . 70.49 |==================== j . 66.99 |=================== k . 85.05 |======================== l . 85.14 |======================== m . 84.73 |======================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second Per Watt > Higher Is Better d . 0.37 |===================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 195.61 |============================================================= b . 151.09 |=============================================== c . 189.70 |=========================================================== d . 214.78 |=================================================================== g . 75.65 |======================== h . 70.12 |====================== i . 58.44 |================== j . 58.35 |================== k . 77.00 |======================== l . 76.99 |======================== m . 77.12 |======================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 241.20 |============================================================= b . 187.01 |=============================================== c . 237.69 |============================================================ d . 264.50 |=================================================================== g . 80.59 |==================== h . 89.50 |======================= i . 64.69 |================ j . 64.88 |================ k . 105.07 |=========================== l . 104.63 |=========================== m . 105.25 |=========================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 206.94 |============================================================= b . 159.61 |=============================================== c . 203.21 |============================================================ d . 227.79 |=================================================================== g . 75.00 |====================== h . 77.37 |======================= i . 56.51 |================= j . 56.48 |================= k . 89.67 |========================== l . 90.18 |=========================== m . 89.87 |========================== SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 6.090 |================================================================== b . 6.021 |================================================================= c . 6.021 |================================================================= d . 6.277 |==================================================================== g . 4.640 |================================================== h . 4.591 |================================================== i . 4.648 |================================================== j . 4.664 |=================================================== k . 4.675 |=================================================== l . 4.607 |================================================== m . 4.590 |================================================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 94.11 |==================================================================== b . 89.83 |================================================================= c . 90.20 |================================================================= d . 93.33 |=================================================================== g . 68.38 |================================================= h . 68.45 |================================================= i . 68.03 |================================================= j . 68.08 |================================================= k . 67.79 |================================================= l . 68.00 |================================================= m . 67.59 |================================================= SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 218.40 |=================================================================== b . 180.00 |======================================================= c . 203.11 |============================================================== d . 200.41 |============================================================= g . 158.12 |================================================= h . 171.98 |===================================================== i . 179.56 |======================================================= j . 179.52 |======================================================= k . 179.42 |======================================================= l . 169.90 |==================================================== m . 180.75 |======================================================= SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second Per Watt > Higher Is Better d . 0.981 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 219.87 |=================================================================== b . 189.70 |========================================================== c . 188.34 |========================================================= d . 198.18 |============================================================ g . 168.24 |=================================================== h . 186.16 |========================================================= i . 179.65 |======================================================= j . 181.48 |======================================================= k . 177.19 |====================================================== l . 181.82 |======================================================= m . 177.42 |====================================================== SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second Per Watt > Higher Is Better d . 1.065 |==================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better a . 61.81 |=============================================== b . 88.87 |==================================================================== c . 76.92 |=========================================================== d . 74.59 |========================================================= f . 63.36 |================================================ g . 38.55 |============================= h . 38.64 |============================== i . 19.15 |=============== j . 19.15 |=============== k . 41.06 |=============================== l . 40.94 |=============================== m . 41.00 |=============================== High Performance Conjugate Gradient 3.1 X Y Z: 144 144 144 - RT: 60 GFLOP/s > Higher Is Better a . 44.53 |========================================== b . 58.68 |======================================================== c . 56.27 |====================================================== d . 71.40 |==================================================================== f . 50.72 |================================================ g . 38.20 |==================================== h . 38.49 |===================================== i . 18.91 |================== j . 18.91 |================== k . 40.57 |======================================= l . 40.66 |======================================= m . 40.48 |======================================= High Performance Conjugate Gradient 3.1 X Y Z: 160 160 160 - RT: 60 GFLOP/s > Higher Is Better a . 44.06 |=============================================== b . 56.11 |============================================================ c . 54.45 |========================================================== d . 63.87 |==================================================================== f . 50.08 |===================================================== g . 37.08 |======================================= h . 38.21 |========================================= i . 18.85 |==================== j . 18.83 |==================== k . 40.57 |=========================================== l . 40.48 |=========================================== m . 40.41 |=========================================== High Performance Conjugate Gradient 3.1 X Y Z: 192 192 192 - RT: 60 GFLOP/s > Higher Is Better a . 43.98 |============================================ b . 56.21 |======================================================== c . 54.48 |====================================================== d . 68.21 |==================================================================== k . 39.75 |======================================== l . 40.46 |======================================== m . 40.50 |======================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s Per Watt > Higher Is Better d . 0.106 |==================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 144 144 144 - RT: 60 GFLOP/s Per Watt > Higher Is Better d . 0.1 |====================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 160 160 160 - RT: 60 GFLOP/s Per Watt > Higher Is Better d . 0.088 |==================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 192 192 192 - RT: 60 GFLOP/s Per Watt > Higher Is Better d . 0.095 |==================================================================== libxsmm 2-1.17-3645 M N K: 256 GFLOPS/s > Higher Is Better a . 6067.4 |================================================================ b . 4834.3 |=================================================== c . 5832.9 |============================================================== d . 6331.4 |=================================================================== e . 6306.4 |=================================================================== g . 1827.3 |=================== h . 1855.6 |==================== i . 1039.7 |=========== j . 1041.0 |=========== k . 606.6 |====== l . 603.5 |====== m . 601.2 |====== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a . 1711.6 |==================== b . 1401.0 |================= c . 5059.8 |============================================================ d . 5640.3 |=================================================================== e . 5588.0 |================================================================== g . 1229.0 |=============== h . 1201.0 |============== i . 319.7 |==== j . 320.4 |==== k . 635.9 |======== l . 610.9 |======= m . 625.2 |======= libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a . 3012.5 |================================ b . 2647.7 |============================ c . 6012.0 |================================================================ d . 6341.5 |=================================================================== e . 6203.5 |================================================================== g . 2486.3 |========================== h . 2489.6 |========================== i . 614.4 |====== j . 618.6 |======= k . 1177.7 |============ l . 1178.1 |============ m . 1117.7 |============ libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s Per Watt > Higher Is Better d . 14.41 |==================================================================== e . 14.44 |==================================================================== libxsmm 2-1.17-3645 M N K: 256 GFLOPS/s Per Watt > Higher Is Better d . 13.03 |=================================================================== e . 13.23 |==================================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s Per Watt > Higher Is Better d . 26.76 |==================================================================== e . 24.22 |============================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s Per Watt > Higher Is Better d . 20.62 |=============================================================== e . 22.11 |==================================================================== libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s > Higher Is Better a . 4822.3 |============================================== b . 4111.3 |======================================= c . 6624.4 |=============================================================== d . 7057.9 |=================================================================== e . 7009.3 |=================================================================== g . 2846.5 |=========================== h . 3098.4 |============================= i . 1144.7 |=========== j . 1141.2 |=========== k . 1996.5 |=================== l . 1956.1 |=================== m . 1959.6 |=================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second Per Watt > Higher Is Better d . 0.067 |==================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 49.95 |==================================================================== b . 38.00 |==================================================== c . 42.19 |========================================================= d . 49.02 |=================================================================== g . 32.98 |============================================= h . 32.98 |============================================= i . 17.95 |======================== j . 18.04 |========================= k . 24.70 |================================== l . 24.71 |================================== m . 24.13 |================================= OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 49.75 |==================================================================== b . 38.42 |===================================================== c . 42.16 |========================================================== d . 48.54 |================================================================== g . 32.44 |============================================ h . 32.39 |============================================ i . 17.74 |======================== j . 17.75 |======================== k . 24.50 |================================= l . 24.35 |================================= m . 24.61 |================================== OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 195.13 |================================================================= b . 200.60 |=================================================================== c . 191.13 |================================================================ d . 195.00 |================================================================= g . 148.36 |================================================== h . 148.05 |================================================= i . 158.66 |===================================================== j . 158.32 |===================================================== k . 151.72 |=================================================== l . 151.83 |=================================================== m . 153.14 |=================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 51.49160 |================================================================= b . 38.66990 |================================================= c . 44.36380 |======================================================== d . 51.60980 |================================================================= g . 16.36030 |===================== h . 16.27110 |==================== i . 8.98252 |=========== j . 9.05981 |=========== k . 21.36350 |=========================== l . 21.26720 |=========================== m . 21.34800 |=========================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 49.65340 |================================================================= b . 37.25980 |================================================= c . 42.74020 |======================================================== d . 49.60180 |================================================================= g . 15.08540 |==================== h . 15.08420 |==================== i . 8.38086 |=========== j . 8.33291 |=========== k . 20.43600 |=========================== l . 20.45210 |=========================== m . 20.57020 |=========================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 31.81 |==================================================================== b . 29.95 |================================================================ c . 28.81 |============================================================= d . 31.97 |==================================================================== g . 19.49 |========================================= h . 19.52 |========================================== i . 13.29 |============================ j . 13.32 |============================ k . 20.06 |=========================================== l . 22.74 |================================================ m . 22.14 |=============================================== OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second Per Watt > Higher Is Better d . 0.076 |==================================================================== OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second Per Watt > Higher Is Better d . 0.326 |==================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second Per Watt > Higher Is Better d . 0.071 |==================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second Per Watt > Higher Is Better d . 0.068 |==================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second Per Watt > Higher Is Better d . 0.051 |==================================================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better a . 257.33 |============================================================== b . 277.76 |=================================================================== c . 213.12 |=================================================== d . 253.98 |============================================================= e . 252.59 |============================================================= g . 167.66 |======================================== h . 167.85 |======================================== i . 197.76 |================================================ j . 200.05 |================================================ k . 268.45 |================================================================= l . 268.32 |================================================================= m . 267.33 |================================================================ Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better a . 500.25 |================================================================== b . 504.93 |=================================================================== c . 417.69 |======================================================= d . 487.87 |================================================================= e . 483.64 |================================================================ g . 334.70 |============================================ h . 381.27 |=================================================== i . 361.20 |================================================ j . 360.00 |================================================ k . 397.63 |===================================================== l . 399.47 |===================================================== m . 397.75 |===================================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate Per Watt > Higher Is Better d . 0.342 |==================================================================== e . 0.341 |==================================================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate Per Watt > Higher Is Better d . 0.639 |==================================================================== e . 0.635 |==================================================================== PETSc 3.19 Test: Streams MB/s > Higher Is Better a . 395951.00 |============================================== b . 520557.67 |============================================================= c . 476981.17 |======================================================== d . 545082.44 |================================================================ g . 238272.12 |============================ h . 247725.70 |============================= i . 55878.72 |======= j . 55219.33 |====== k . 310496.67 |==================================== l . 310205.49 |==================================== m . 308959.28 |==================================== PETSc 3.19 Test: Streams MB/s Per Watt > Higher Is Better d . 1030.27 |================================================================== srsRAN Project 23.5 Test: Downlink Processor Benchmark Mbps > Higher Is Better a . 752.9 |================================================================== b . 770.5 |==================================================================== c . 770.3 |==================================================================== d . 759.2 |=================================================================== g . 670.8 |=========================================================== h . 672.1 |=========================================================== i . 692.2 |============================================================= j . 688.3 |============================================================= k . 564.2 |================================================== l . 567.5 |================================================== m . 567.4 |================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 39684.1 |================================================================ b . 33180.5 |===================================================== c . 36472.6 |=========================================================== d . 40965.7 |================================================================== g . 19305.9 |=============================== h . 19186.6 |=============================== i . 9169.7 |=============== j . 9154.8 |=============== k . 9720.0 |================ l . 9944.8 |================ m . 9952.4 |================ srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better a . 239.4 |==================================================================== b . 239.7 |==================================================================== c . 238.4 |==================================================================== d . 239.4 |==================================================================== g . 187.3 |===================================================== h . 189.7 |====================================================== i . 189.3 |====================================================== j . 189.9 |====================================================== k . 176.1 |================================================== l . 170.8 |================================================ m . 175.5 |================================================== srsRAN Project 23.5 Test: Downlink Processor Benchmark Mbps Per Watt > Higher Is Better d . 3.3 |====================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total Mbps Per Watt > Higher Is Better d . 58.36 |==================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread Mbps Per Watt > Higher Is Better d . 1.117 |==================================================================== Meta Performance Per Watts Performance Per Watts Performance Per Watts > Higher Is Better d . 110374.56 |================================================================ Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 samples/s Per Watt > Higher Is Better d . 3491993.30 |=============================================================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s Per Watt > Higher Is Better d . 4009724.54 |=============================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 samples/s Per Watt > Higher Is Better d . 5690398.12 |=============================================================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 1102500000 |============================================================== b . 1123800000 |=============================================================== c . 1088500000 |============================================================= d . 1105600000 |============================================================== g . 1082400000 |============================================================= h . 1082900000 |============================================================= i . 1032400000 |========================================================== j . 1030800000 |========================================================== k . 1006600000 |======================================================== l . 1011600000 |========================================================= m . 1012200000 |========================================================= Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s Per Watt > Higher Is Better d . 6157827.59 |=============================================================== Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 32 samples/s Per Watt > Higher Is Better d . 8335322.26 |=============================================================== Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 57 samples/s Per Watt > Higher Is Better d . 8648981.45 |=============================================================== Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 32 samples/s Per Watt > Higher Is Better d . 12070909.03 |============================================================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 1323000000 |=========================================================== b . 1325500000 |============================================================ c . 1283900000 |========================================================== d . 1308300000 |=========================================================== g . 1401300000 |=============================================================== h . 1401100000 |=============================================================== i . 1342700000 |============================================================ j . 1340200000 |============================================================ k . 1306900000 |=========================================================== l . 1295200000 |========================================================== m . 1247700000 |======================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 2211100000 |============================================================== b . 2240500000 |=============================================================== c . 2162700000 |============================================================= d . 2209600000 |============================================================== g . 2163700000 |============================================================= h . 2162600000 |============================================================= i . 2061300000 |========================================================== j . 2063300000 |========================================================== k . 1839400000 |==================================================== l . 1830300000 |=================================================== m . 1833700000 |==================================================== Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 4422000000 |============================================================== b . 4470200000 |=============================================================== c . 4237200000 |============================================================ d . 4418900000 |============================================================== g . 4321300000 |============================================================= h . 4318400000 |============================================================= i . 3570900000 |================================================== j . 3566700000 |================================================== k . 3048900000 |=========================================== l . 3064500000 |=========================================== m . 3053000000 |=========================================== Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 5010600000 |============================================================ b . 5102800000 |============================================================== c . 4596200000 |======================================================= d . 5043100000 |============================================================= g . 5222000000 |=============================================================== h . 5213700000 |=============================================================== i . 3014000000 |==================================== j . 3011800000 |==================================== k . 2591100000 |=============================== l . 2771700000 |================================= m . 2762300000 |================================= Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 8571500000 |=============================================================== b . 8539200000 |=============================================================== c . 7448700000 |======================================================= d . 8545300000 |=============================================================== g . 7189100000 |===================================================== h . 7189200000 |===================================================== i . 3603600000 |========================== j . 3605300000 |========================== k . 3625800000 |=========================== l . 3617200000 |=========================== m . 3605500000 |=========================== Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 8855500000 |=============================================================== b . 8305500000 |=========================================================== c . 7210300000 |=================================================== d . 8608800000 |============================================================= g . 6100900000 |=========================================== h . 6102700000 |=========================================== i . 3044100000 |====================== j . 3059000000 |====================== k . 3094300000 |====================== l . 3077000000 |====================== m . 3072400000 |====================== Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 423300000 |=============================================================== b . 429890000 |================================================================ c . 422960000 |=============================================================== d . 426840000 |================================================================ g . 256910000 |====================================== h . 257180000 |====================================== i . 245790000 |===================================== j . 245440000 |===================================== k . 411830000 |============================================================= l . 414630000 |============================================================== m . 413320000 |============================================================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 11901000000 |============================================================== b . 8714300000 |============================================= c . 10134000000 |===================================================== d . 11604000000 |============================================================ g . 7226800000 |====================================== h . 7217600000 |====================================== i . 3737600000 |=================== j . 3768400000 |==================== k . 3770900000 |==================== l . 3784700000 |==================== m . 3789800000 |==================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 10888000000 |============================================================== b . 9302800000 |===================================================== c . 9105600000 |==================================================== d . 10698000000 |============================================================= g . 6158100000 |=================================== h . 6160400000 |=================================== i . 3175700000 |================== j . 3150900000 |================== k . 3281700000 |=================== l . 3318400000 |=================== m . 3314300000 |=================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 848760000 |=============================================================== b . 862770000 |================================================================ c . 840350000 |============================================================== d . 850540000 |=============================================================== g . 513010000 |====================================== h . 514040000 |====================================== i . 491000000 |==================================== j . 491320000 |==================================== k . 752990000 |======================================================== l . 747360000 |======================================================= m . 758340000 |======================================================== Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 1698500000 |============================================================== b . 1726900000 |=============================================================== c . 1535200000 |======================================================== d . 1701900000 |============================================================== g . 1005800000 |===================================== h . 1006000000 |===================================== i . 721070000 |========================== j . 722090000 |========================== k . 978210000 |==================================== l . 978080000 |==================================== m . 975390000 |==================================== Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 57 samples/s Per Watt > Higher Is Better d . 11818098.50 |============================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 2544400000 |========================================================= b . 2558400000 |========================================================= c . 2497700000 |======================================================== d . 2543900000 |========================================================= g . 2821100000 |=============================================================== h . 2803900000 |=============================================================== i . 2597500000 |========================================================== j . 2611500000 |========================================================== k . 2238400000 |================================================== l . 2248800000 |================================================== m . 2274000000 |=================================================== Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 2720300000 |=============================================================== b . 2230200000 |==================================================== c . 2193300000 |=================================================== d . 2675600000 |============================================================== g . 1427100000 |================================= h . 1427300000 |================================= i . 732070000 |================= j . 734060000 |================= k . 1080100000 |========================= l . 1078700000 |========================= m . 1077100000 |========================= Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 samples/s Per Watt > Higher Is Better d . 1254274.67 |=============================================================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 32 samples/s Per Watt > Higher Is Better d . 16047250.15 |============================================================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 57 samples/s Per Watt > Higher Is Better d . 14968470.39 |============================================================== Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 512 samples/s Per Watt > Higher Is Better d . 1912689.88 |=============================================================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 3043700000 |=============================================================== b . 2360900000 |================================================= c . 2549500000 |===================================================== d . 2990000000 |============================================================== g . 1449600000 |============================== h . 1447400000 |============================== i . 763570000 |================ j . 762850000 |================ k . 1117800000 |======================= l . 1109900000 |======================= m . 1112000000 |======================= Liquid-DSP 1.6 Threads: 128 - Buffer Length: 256 - Filter Length: 512 samples/s Per Watt > Higher Is Better d . 2854098.92 |=============================================================== Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 512 samples/s Per Watt > Higher Is Better d . 3782576.38 |=============================================================== Liquid-DSP 1.6 Threads: 384 - Buffer Length: 256 - Filter Length: 512 samples/s Per Watt > Higher Is Better d . 4283890.32 |=============================================================== Kripke 1.2.6 Throughput FoM > Higher Is Better i . 318370700 |================================================================ j . 305612500 |============================================================= Faiss 1.7.4 Test: bench_polysemous_sift1m - PQ baseline ms per query < Lower Is Better a . 3.847 |================================================ b . 3.797 |=============================================== c . 3.849 |================================================ d . 3.853 |================================================ g . 4.309 |====================================================== h . 4.331 |====================================================== i . 4.298 |====================================================== j . 4.339 |====================================================== k . 5.448 |==================================================================== l . 5.448 |==================================================================== m . 5.448 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 64 ms per query < Lower Is Better a . 6.083 |================================================= b . 6.002 |================================================ c . 6.083 |================================================= d . 6.085 |================================================= g . 6.757 |====================================================== h . 6.771 |====================================================== i . 6.749 |====================================================== j . 6.787 |======================================================= k . 8.443 |==================================================================== l . 8.455 |==================================================================== m . 8.452 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 62 ms per query < Lower Is Better a . 5.128 |================================================= b . 5.059 |================================================= c . 5.127 |================================================= d . 5.131 |================================================= g . 5.591 |====================================================== h . 5.608 |====================================================== i . 5.586 |====================================================== j . 5.618 |====================================================== k . 7.047 |==================================================================== l . 7.062 |==================================================================== m . 7.055 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 58 ms per query < Lower Is Better a . 3.194 |================================================== b . 3.151 |================================================== c . 3.194 |================================================== d . 3.193 |================================================== g . 3.480 |======================================================= h . 3.498 |======================================================= i . 3.477 |======================================================= j . 3.503 |======================================================= k . 4.319 |==================================================================== l . 4.327 |==================================================================== m . 4.323 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 54 ms per query < Lower Is Better a . 1.924 |================================================== b . 1.897 |================================================== c . 1.922 |================================================== d . 1.919 |================================================== g . 2.190 |========================================================= h . 2.200 |========================================================== i . 2.193 |========================================================= j . 2.203 |========================================================== k . 2.593 |==================================================================== l . 2.598 |==================================================================== m . 2.592 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 50 ms per query < Lower Is Better a . 1.236 |=================================================== b . 1.216 |================================================== c . 1.236 |=================================================== d . 1.233 |=================================================== g . 1.408 |========================================================== h . 1.413 |========================================================== i . 1.417 |========================================================== j . 1.416 |========================================================== k . 1.656 |==================================================================== l . 1.660 |==================================================================== m . 1.655 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 46 ms per query < Lower Is Better a . 0.912 |================================================== b . 0.897 |================================================= c . 0.912 |================================================== d . 0.909 |================================================== g . 1.000 |======================================================= h . 1.004 |======================================================= i . 1.011 |======================================================== j . 1.005 |======================================================= k . 1.232 |==================================================================== l . 1.236 |==================================================================== m . 1.236 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 42 ms per query < Lower Is Better a . 0.786 |================================================== b . 0.771 |================================================= c . 0.782 |================================================= d . 0.781 |================================================= g . 0.835 |===================================================== h . 0.838 |===================================================== i . 0.848 |===================================================== j . 0.840 |===================================================== k . 1.075 |==================================================================== l . 1.079 |==================================================================== m . 1.075 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 38 ms per query < Lower Is Better a . 0.739 |================================================= b . 0.730 |================================================ c . 0.739 |================================================= d . 0.739 |================================================= g . 0.781 |=================================================== h . 0.784 |==================================================== i . 0.795 |==================================================== j . 0.785 |==================================================== k . 1.028 |==================================================================== l . 1.033 |==================================================================== m . 1.024 |=================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 34 ms per query < Lower Is Better a . 0.725 |================================================= b . 0.717 |================================================ c . 0.727 |================================================= d . 0.725 |================================================= g . 0.763 |=================================================== h . 0.765 |=================================================== i . 0.777 |==================================================== j . 0.768 |==================================================== k . 1.006 |==================================================================== l . 1.009 |==================================================================== m . 1.011 |==================================================================== Faiss 1.7.4 Test: bench_polysemous_sift1m - Polysemous 30 ms per query < Lower Is Better a . 0.720 |================================================= b . 0.710 |================================================ c . 0.720 |================================================= d . 0.720 |================================================= g . 0.758 |=================================================== h . 0.761 |==================================================== i . 0.771 |==================================================== j . 0.761 |==================================================== k . 0.999 |==================================================================== l . 1.002 |==================================================================== m . 0.999 |==================================================================== CP2K Molecular Dynamics 2023.1 Input: H20-64 Seconds < Lower Is Better a . 20.81 |============================================ b . 18.25 |====================================== c . 22.60 |=============================================== d . 20.67 |=========================================== e . 20.46 |=========================================== g . 32.36 |==================================================================== h . 32.48 |==================================================================== i . 29.25 |============================================================= j . 29.41 |============================================================== k . 29.13 |============================================================= l . 31.43 |================================================================== m . 28.43 |============================================================ CP2K Molecular Dynamics 2023.1 Input: H2O-DFT-LS Seconds < Lower Is Better a . 2135.00 |================================================================== b . 1974.82 |============================================================= c . 2007.97 |============================================================== d . 1681.51 |==================================================== e . 1661.30 |=================================================== CP2K Molecular Dynamics 2023.1 Input: Fayalite-FIST Seconds < Lower Is Better a . 85.35 |=================================================== b . 67.61 |======================================== c . 95.41 |========================================================= d . 84.08 |================================================== e . 82.88 |================================================== g . 112.00 |=================================================================== h . 111.53 |=================================================================== i . 106.42 |================================================================ j . 105.87 |=============================================================== k . 105.00 |=============================================================== l . 105.04 |=============================================================== m . 106.67 |================================================================ Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Gas HII40 Seconds < Lower Is Better a . 12.76 |==================================================== b . 11.11 |============================================= c . 14.82 |============================================================ d . 12.70 |=================================================== e . 12.73 |==================================================== g . 15.65 |=============================================================== h . 15.70 |================================================================ i . 16.46 |=================================================================== j . 16.79 |==================================================================== k . 15.21 |============================================================== l . 15.19 |============================================================== m . 15.19 |============================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Dust 2D tau100.0 Seconds < Lower Is Better a . 85.69 |========================================== b . 76.96 |===================================== c . 103.07 |================================================== d . 92.56 |============================================= e . 86.96 |========================================== g . 134.84 |================================================================== h . 120.53 |=========================================================== i . 137.73 |=================================================================== j . 106.13 |==================================================== k . 93.13 |============================================= l . 93.02 |============================================= m . 93.13 |============================================= OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 24.33 |========================================== b . 19.66 |================================== c . 28.17 |================================================ d . 27.37 |=============================================== e . 21.60 |===================================== g . 30.89 |===================================================== h . 30.86 |===================================================== i . 30.77 |===================================================== j . 34.22 |=========================================================== k . 33.27 |========================================================= l . 39.67 |==================================================================== m . 33.44 |========================================================= OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 19.49 |=========================== b . 20.40 |============================ c . 22.85 |=============================== d . 20.04 |=========================== e . 19.45 |=========================== g . 29.80 |========================================= h . 30.04 |========================================= i . 49.86 |==================================================================== j . 49.55 |==================================================================== k . 40.87 |======================================================== l . 39.30 |====================================================== m . 39.67 |====================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better a . 125.79 |================================================ b . 113.89 |============================================ c . 123.63 |=============================================== d . 126.60 |================================================ e . 112.30 |=========================================== g . 123.86 |=============================================== h . 148.98 |========================================================= i . 156.71 |============================================================ j . 155.44 |============================================================ k . 175.03 |=================================================================== l . 161.02 |============================================================== m . 166.72 |================================================================ OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better a . 103.48 |=========== b . 127.49 |============== c . 96.54 |========== d . 83.66 |========= e . 86.70 |========= g . 177.08 |=================== h . 169.35 |================== i . 624.70 |=================================================================== j . 626.24 |=================================================================== k . 358.58 |====================================== l . 358.80 |====================================== m . 361.69 |======================================= RELION 4.0.1 Test: Basic - Device: CPU Seconds < Lower Is Better a . 131.79 |======================= b . 137.61 |======================== c . 98.09 |================= d . 79.74 |============== e . 90.89 |================ g . 140.55 |======================== h . 144.66 |========================= i . 390.76 |=================================================================== j . 369.24 |=============================================================== k . 355.63 |============================================================= l . 349.23 |============================================================ m . 353.54 |============================================================= Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better a . 6.077 |======================= b . 6.698 |========================= c . 6.911 |========================== d . 7.308 |=========================== e . 6.283 |======================== g . 10.240 |====================================== h . 10.175 |====================================== i . 17.873 |=================================================================== j . 16.808 |=============================================================== k . 12.445 |=============================================== l . 12.334 |============================================== m . 12.409 |=============================================== SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better a . 3.850040730 |=================== b . 4.750348772 |======================== c . 4.558002297 |======================= d . 3.689292885 |================== e . 3.981088806 |==================== g . 6.495932118 |================================ h . 6.347183283 |================================ i . 10.818418704 |====================================================== j . 10.758542981 |===================================================== k . 11.833297802 |=========================================================== l . 12.274471775 |============================================================= m . 11.727085134 |========================================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better a . 9.963704381 |===================== b . 11.629786699 |======================== c . 11.806764177 |======================== d . 10.270862698 |===================== g . 14.704296230 |============================== h . 14.676508694 |============================== i . 29.427675297 |============================================================= j . 28.931414681 |============================================================ k . 27.119479883 |======================================================== l . 27.200435974 |======================================================== m . 27.298372573 |========================================================= SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better a . 4.258437194 |=================== b . 5.418503086 |========================= c . 4.852449214 |====================== d . 4.217214145 |=================== g . 7.882361627 |==================================== h . 7.784294706 |=================================== i . 12.984599696 |=========================================================== j . 12.939765791 |=========================================================== k . 12.975667446 |=========================================================== l . 12.953280826 |=========================================================== m . 13.423217012 |============================================================= SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better a . 5.041686571 |================== b . 6.625455127 |======================== c . 5.993518752 |====================== d . 5.221410947 |=================== g . 9.391517256 |================================== h . 9.626016856 |=================================== i . 16.177357610 |========================================================== j . 16.094102446 |========================================================== k . 16.028300602 |========================================================== l . 16.592492503 |============================================================ m . 16.895942000 |============================================================= SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better a . 8.473585088 |=================== b . 11.829446878 |========================== c . 10.318958683 |======================= d . 9.803312316 |====================== g . 16.596390882 |===================================== h . 16.508822715 |===================================== i . 26.928530127 |============================================================ j . 27.441244927 |============================================================= k . 27.423458734 |============================================================= l . 27.362074275 |============================================================= m . 27.141986993 |============================================================ Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Seconds < Lower Is Better a . 26.35 |========================================================= b . 26.25 |========================================================= c . 21.86 |================================================ d . 21.72 |=============================================== g . 23.14 |================================================== h . 23.20 |================================================== i . 31.29 |==================================================================== j . 30.85 |=================================================================== k . 24.24 |===================================================== l . 24.00 |==================================================== m . 24.80 |====================================================== Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Seconds < Lower Is Better a . 70.10 |======================================================== b . 69.39 |======================================================= c . 67.99 |====================================================== d . 67.94 |====================================================== g . 74.90 |============================================================ h . 73.61 |=========================================================== i . 78.94 |=============================================================== j . 79.77 |================================================================ k . 85.00 |==================================================================== l . 84.61 |==================================================================== m . 85.15 |==================================================================== GPAW 23.6 Input: Carbon Nanotube Seconds < Lower Is Better a . 20.30 |==================== b . 22.25 |===================== c . 21.91 |===================== d . 19.21 |=================== g . 38.05 |===================================== h . 37.92 |===================================== i . 70.13 |==================================================================== j . 70.42 |==================================================================== k . 44.77 |=========================================== l . 44.78 |=========================================== m . 45.14 |============================================ Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 7.86 |=================== b . 9.37 |======================= c . 8.70 |===================== d . 7.69 |=================== g . 14.80 |==================================== h . 14.76 |==================================== i . 27.57 |==================================================================== j . 27.62 |==================================================================== k . 23.73 |========================================================== l . 23.60 |========================================================== m . 23.57 |========================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 18.08 |================== b . 22.51 |====================== c . 21.08 |===================== d . 18.29 |================== g . 36.88 |==================================== h . 36.88 |==================================== i . 69.13 |==================================================================== j . 68.83 |==================================================================== k . 62.68 |============================================================== l . 62.07 |============================================================= m . 62.19 |============================================================= Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 10.24 |==================== b . 12.27 |======================== c . 11.30 |======================= d . 10.11 |==================== g . 18.14 |==================================== h . 18.15 |==================================== i . 34.11 |==================================================================== j . 34.09 |==================================================================== k . 30.41 |============================================================= l . 30.69 |============================================================= m . 30.61 |============================================================= Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 72.04 |=================== b . 87.36 |======================= c . 78.15 |==================== d . 70.98 |=================== g . 135.24 |=================================== h . 134.66 |=================================== i . 255.56 |=================================================================== j . 254.09 |=================================================================== k . 240.10 |=============================================================== l . 239.56 |=============================================================== m . 240.33 |=============================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 22.60 |================== b . 28.45 |======================= c . 25.86 |===================== d . 23.19 |================== g . 44.87 |==================================== h . 44.59 |==================================== i . 85.25 |==================================================================== j . 84.72 |==================================================================== k . 75.93 |============================================================= l . 75.97 |============================================================= m . 76.04 |============================================================= Faiss 1.7.4 Test: demo_sift1M Seconds < Lower Is Better QMCPACK 3.16 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 82.21 |=========================================== b . 75.79 |======================================== c . 97.10 |=================================================== d . 82.34 |=========================================== e . 83.57 |============================================ g . 105.66 |======================================================= h . 105.34 |======================================================= i . 117.16 |============================================================= j . 114.51 |============================================================ k . 125.13 |================================================================== l . 123.21 |================================================================= m . 127.76 |=================================================================== QMCPACK 3.16 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 25.44 |=========================================== b . 24.62 |========================================== c . 30.29 |==================================================== d . 26.47 |============================================= e . 26.40 |============================================= g . 36.77 |=============================================================== h . 34.55 |=========================================================== i . 34.66 |=========================================================== j . 37.13 |=============================================================== k . 39.67 |==================================================================== l . 39.62 |==================================================================== m . 39.79 |==================================================================== QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 109.81 |================================ b . 95.71 |============================ c . 130.65 |======================================= d . 111.94 |================================= e . 114.21 |================================== g . 215.53 |================================================================ h . 216.15 |================================================================ i . 227.29 |=================================================================== j . 221.79 |================================================================= k . 147.60 |============================================ l . 147.58 |============================================ m . 147.61 |============================================ QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 180.89 |============================================ b . 162.79 |======================================= c . 219.79 |===================================================== d . 185.96 |============================================= e . 187.41 |============================================= g . 226.39 |======================================================= h . 228.17 |======================================================= i . 222.63 |====================================================== j . 221.23 |===================================================== k . 277.26 |=================================================================== l . 259.99 |=============================================================== m . 256.02 |============================================================== High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 62 AVG: 704 MAX: 783 High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 715 MAX: 802 High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 723 MAX: 809 High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 720 MAX: 813 CP2K Molecular Dynamics 2023.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 69 AVG: 667 MAX: 814 e . MIN: 62 AVG: 668 MAX: 809 CP2K Molecular Dynamics 2023.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 750 MAX: 820 e . MIN: 65 AVG: 749 MAX: 820 CP2K Molecular Dynamics 2023.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 773 MAX: 817 e . MIN: 66 AVG: 776 MAX: 818 libxsmm 2-1.17-3645 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 490 MAX: 817 e . MIN: 67 AVG: 485 MAX: 815 libxsmm 2-1.17-3645 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 486 MAX: 814 e . MIN: 65 AVG: 477 MAX: 813 libxsmm 2-1.17-3645 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 308 MAX: 761 Laghos 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 743 MAX: 819 e . MIN: 63 AVG: 741 MAX: 819 Laghos 3.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 763 MAX: 819 e . MIN: 65 AVG: 761 MAX: 819 QMCPACK 3.16 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 71 AVG: 773 MAX: 819 e . MIN: 66 AVG: 775 MAX: 819 QMCPACK 3.16 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 694 MAX: 819 e . MIN: 66 AVG: 700 MAX: 819 QMCPACK 3.16 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 72 AVG: 784 MAX: 819 e . MIN: 68 AVG: 789 MAX: 819 QMCPACK 3.16 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 800 MAX: 819 e . MIN: 67 AVG: 798 MAX: 819 Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 579 MAX: 818 e . MIN: 65 AVG: 590 MAX: 818 Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 749 MAX: 819 e . MIN: 65 AVG: 748 MAX: 819 OpenFOAM 10 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 682 MAX: 819 e . MIN: 66 AVG: 684 MAX: 819 OpenFOAM 10 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 779 MAX: 819 e . MIN: 66 AVG: 775 MAX: 819 RELION 4.0.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 749 MAX: 819 e . MIN: 70 AVG: 764 MAX: 819 Remhos 1.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 496 MAX: 820 e . MIN: 67 AVG: 453 MAX: 819 SPECFEM3D 4.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 376 MAX: 820 e . MIN: 65 AVG: 391 MAX: 820 SPECFEM3D 4.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 535 MAX: 819 SPECFEM3D 4.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 431 MAX: 819 SPECFEM3D 4.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 442 MAX: 819 SPECFEM3D 4.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 74 AVG: 560 MAX: 819 Z3 Theorem Prover 4.12.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 235 MAX: 261 Z3 Theorem Prover 4.12.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 246 MAX: 259 nekRS 23.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 63 AVG: 687 MAX: 820 nekRS 23.0 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 708 MAX: 820 srsRAN Project 23.5 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 230 MAX: 264 srsRAN Project 23.5 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 69 AVG: 702 MAX: 819 srsRAN Project 23.5 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 214 MAX: 263 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 370 MAX: 819 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 328 MAX: 818 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 253 MAX: 812 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 70 AVG: 315 MAX: 815 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 330 MAX: 816 Embree 4.1 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 309 MAX: 815 SVT-AV1 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 281 MAX: 394 SVT-AV1 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 63 AVG: 253 MAX: 393 SVT-AV1 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 63 AVG: 188 MAX: 353 SVT-AV1 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 63 AVG: 202 MAX: 361 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 727 MAX: 762 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 642 MAX: 762 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 71 AVG: 598 MAX: 724 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 723 MAX: 817 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 728 MAX: 817 OSPRay 2.12 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 69 AVG: 626 MAX: 728 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 70 AVG: 317 MAX: 349 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 326 MAX: 371 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 388 MAX: 432 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 413 MAX: 473 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 530 MAX: 598 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 64 AVG: 583 MAX: 671 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 708 MAX: 815 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 728 MAX: 819 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 72 AVG: 340 MAX: 384 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 723 MAX: 819 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 715 MAX: 819 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 445 MAX: 503 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 69 AVG: 596 MAX: 694 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 707 MAX: 819 Liquid-DSP 1.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 698 MAX: 819 GPAW 23.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 69 AVG: 658 MAX: 818 Blender 3.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 508 MAX: 819 Blender 3.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 654 MAX: 820 Blender 3.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 65 AVG: 531 MAX: 819 Blender 3.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 726 MAX: 820 Blender 3.6 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 66 AVG: 668 MAX: 819 PETSc 3.19 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 67 AVG: 529 MAX: 743 Faiss 1.7.4 CPU Power Consumption Monitor Watts < Lower Is Better d . MIN: 68 AVG: 258 MAX: 437