7713 2P Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 AMD EPYC 7303 16-Core: Processor: AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: 2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 e: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 f: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 g: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a ..................... 540.3 |================================================ b ..................... 471.0 |========================================== c ..................... 467.3 |========================================== AMD EPYC 7303 16-Core . 273.2 |======================== d ..................... 356.5 |================================ e ..................... 484.7 |=========================================== f ..................... 482.9 |=========================================== g ..................... 470.9 |========================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a ..................... 980.5 |================================================ b ..................... 923.9 |============================================= c ..................... 920.8 |============================================= AMD EPYC 7303 16-Core . 406.9 |==================== d ..................... 442.5 |====================== e ..................... 727.2 |==================================== f ..................... 737.3 |==================================== g ..................... 723.4 |=================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better a ..................... 164.19 |========================================== b ..................... 162.65 |========================================== c ..................... 167.28 |=========================================== AMD EPYC 7303 16-Core . 132.65 |================================== d ..................... 114.18 |============================= e ..................... 182.23 |=============================================== f ..................... 181.55 |=============================================== g ..................... 180.93 |=============================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better a ..................... 282.55 |=============================================== b ..................... 282.08 |=============================================== c ..................... 279.20 |============================================== AMD EPYC 7303 16-Core . 148.49 |========================= d ..................... 132.46 |====================== e ..................... 234.14 |======================================= f ..................... 233.54 |======================================= g ..................... 233.05 |======================================= OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a ..................... 115.89 |========================================= b ..................... 116.73 |========================================= c ..................... 116.30 |========================================= AMD EPYC 7303 16-Core . 118.33 |========================================= d ..................... 134.32 |=============================================== e ..................... 105.44 |===================================== f ..................... 105.68 |===================================== g ..................... 107.04 |===================================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a ..................... 174.49 |=============== b ..................... 173.59 |=============== c ..................... 174.45 |=============== AMD EPYC 7303 16-Core . 551.24 |=============================================== d ..................... 489.75 |========================================== e ..................... 304.03 |========================== f ..................... 306.37 |========================== g ..................... 303.58 |========================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a ..................... 26.54 |=================== b ..................... 26.35 |=================== c ..................... 26.53 |=================== AMD EPYC 7303 16-Core . 65.55 |================================================ d ..................... 63.71 |=============================================== e ..................... 41.05 |============================== f ..................... 41.01 |============================== g ..................... 40.85 |============================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a ..................... 147.64 |============================= b ..................... 146.17 |============================= c ..................... 146.31 |============================= AMD EPYC 7303 16-Core . 202.93 |======================================== d ..................... 235.98 |=============================================== e ..................... 192.24 |====================================== f ..................... 192.62 |====================================== g ..................... 192.49 |====================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a ..................... 130.40 |============================================== b ..................... 134.61 |=============================================== c ..................... 131.25 |============================================== AMD EPYC 7303 16-Core . 102.80 |==================================== d ..................... 129.36 |============================================= e ..................... 118.07 |========================================= f ..................... 120.33 |========================================== g ..................... 122.81 |=========================================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a ..................... 132.37 |============== b ..................... 129.61 |============== c ..................... 132.80 |=============== AMD EPYC 7303 16-Core . 357.27 |======================================= d ..................... 429.22 |=============================================== e ..................... 302.03 |================================= f ..................... 305.55 |================================= g ..................... 307.24 |================================== Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better a ..................... 11.28 |============== b ..................... 11.02 |============= c ..................... 11.71 |============== AMD EPYC 7303 16-Core . 37.31 |============================================= d ..................... 39.71 |================================================ e ..................... 23.46 |============================ f ..................... 23.49 |============================ g ..................... 23.72 |============================= 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a ..................... 507611 |=============================================== b ..................... 505036 |=============================================== c ..................... 499347 |============================================== AMD EPYC 7303 16-Core . 135892 |============= d ..................... 113384 |========== e ..................... 210620 |==================== f ..................... 212139 |==================== g ..................... 209887 |=================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a ..................... 643823 |============================================= b ..................... 647995 |============================================= c ..................... 678765 |=============================================== AMD EPYC 7303 16-Core . 116102 |======== d ..................... 106826 |======= e ..................... 214511 |=============== f ..................... 216258 |=============== g ..................... 218417 |=============== libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a ..................... 75.60 |============================ b ..................... 75.78 |============================ c ..................... 75.84 |============================ AMD EPYC 7303 16-Core . 120.85 |============================================= d ..................... 125.92 |=============================================== e ..................... 92.45 |=================================== f ..................... 91.91 |================================== g ..................... 92.53 |=================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a ..................... 41.42 |=============================== b ..................... 40.84 |=============================== c ..................... 42.41 |================================ AMD EPYC 7303 16-Core . 60.19 |============================================= d ..................... 64.15 |================================================ e ..................... 48.72 |==================================== f ..................... 48.84 |===================================== g ..................... 48.73 |==================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a ..................... 3.248 |=========================== b ..................... 3.331 |============================ c ..................... 3.309 |============================ AMD EPYC 7303 16-Core . 5.282 |============================================ d ..................... 5.771 |================================================ e ..................... 3.965 |================================= f ..................... 3.976 |================================= g ..................... 3.962 |================================= libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a ..................... 6.786 |=============================== b ..................... 6.881 |================================ c ..................... 6.929 |================================ AMD EPYC 7303 16-Core . 9.186 |=========================================== d ..................... 10.133 |=============================================== e ..................... 7.801 |==================================== f ..................... 7.824 |==================================== g ..................... 7.825 |==================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a ..................... 5.474 |========================================== b ..................... 5.485 |=========================================== c ..................... 5.535 |=========================================== AMD EPYC 7303 16-Core . 5.779 |============================================= d ..................... 6.186 |================================================ e ..................... 5.855 |============================================= f ..................... 5.817 |============================================= g ..................... 5.815 |============================================= Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a ..................... 23.88 |================= b ..................... 23.97 |================= c ..................... 23.94 |================= AMD EPYC 7303 16-Core . 67.41 |=============================================== d ..................... 68.68 |================================================ e ..................... 43.41 |============================== f ..................... 43.48 |============================== g ..................... 43.32 |============================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a ..................... 182.49 |========== b ..................... 179.99 |========== c ..................... 179.54 |========== AMD EPYC 7303 16-Core . 815.40 |============================================== d ..................... 830.49 |=============================================== e ..................... 462.14 |========================== f ..................... 462.60 |========================== g ..................... 462.70 |========================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a ..................... 16.08 |======== b ..................... 16.08 |======== c ..................... 16.19 |======== AMD EPYC 7303 16-Core . 89.45 |============================================= d ..................... 94.86 |================================================ e ..................... 50.21 |========================= f ..................... 50.25 |========================= g ..................... 50.09 |========================= Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a ..................... 40.28 |======== b ..................... 40.21 |======== c ..................... 40.04 |======== AMD EPYC 7303 16-Core . 226.06 |============================================= d ..................... 237.87 |=============================================== e ..................... 116.68 |======================= f ..................... 117.05 |======================= g ..................... 118.34 |======================= Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a ..................... 20.44 |======== b ..................... 20.73 |======== c ..................... 20.45 |======== AMD EPYC 7303 16-Core . 109.21 |============================================ d ..................... 116.66 |=============================================== e ..................... 62.52 |========================= f ..................... 62.18 |========================= g ..................... 62.31 |========================= Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a ..................... 153.78 |======= b ..................... 152.94 |======= c ..................... 152.50 |======= AMD EPYC 7303 16-Core . 871.17 |========================================== d ..................... 974.94 |=============================================== e ..................... 505.43 |======================== f ..................... 504.18 |======================== g ..................... 506.55 |======================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a ..................... 49.66 |======== b ..................... 49.32 |======== c ..................... 48.96 |======== AMD EPYC 7303 16-Core . 280.03 |============================================ d ..................... 296.74 |=============================================== e ..................... 155.52 |========================= f ..................... 157.08 |========================= g ..................... 157.59 |========================= OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a ..................... 202.68 |=============================================== b ..................... 203.14 |=============================================== c ..................... 203.96 |=============================================== AMD EPYC 7303 16-Core . 42.11 |========== d ..................... 37.06 |========= e ..................... 72.71 |================= f ..................... 73.23 |================= g ..................... 72.14 |================= OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a ..................... 157.75 |======================================= b ..................... 157.40 |======================================= c ..................... 156.74 |======================================= AMD EPYC 7303 16-Core . 189.92 |=============================================== d ..................... 107.81 |=========================== e ..................... 109.89 |=========================== f ..................... 109.16 |=========================== g ..................... 110.71 |=========================== OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 51.12 |================================================ b ..................... 51.17 |================================================ c ..................... 51.20 |================================================ AMD EPYC 7303 16-Core . 8.66 |======== d ..................... 8.35 |======== e ..................... 17.20 |================ f ..................... 17.27 |================ g ..................... 17.28 |================ OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 623.90 |================================ b ..................... 623.64 |================================ c ..................... 623.60 |================================ AMD EPYC 7303 16-Core . 921.14 |=============================================== d ..................... 478.92 |======================== e ..................... 463.57 |======================== f ..................... 462.78 |======================== g ..................... 462.57 |======================== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 3308.28 |============================================== b ..................... 3302.83 |============================================== c ..................... 3303.59 |============================================== AMD EPYC 7303 16-Core . 570.58 |======== d ..................... 470.46 |======= e ..................... 1096.25 |=============== f ..................... 1095.27 |=============== g ..................... 1095.68 |=============== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 9.66 |================================= b ..................... 9.68 |================================= c ..................... 9.67 |================================= AMD EPYC 7303 16-Core . 14.00 |================================================ d ..................... 8.49 |============================= e ..................... 7.29 |========================= f ..................... 7.29 |========================= g ..................... 7.29 |========================= OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 9543.23 |============================================== b ..................... 9544.95 |============================================== c ..................... 9527.76 |============================================== AMD EPYC 7303 16-Core . 1754.67 |======== d ..................... 1232.95 |====== e ..................... 3153.90 |=============== f ..................... 3148.82 |=============== g ..................... 3148.97 |=============== OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 3.34 |==================================== b ..................... 3.34 |==================================== c ..................... 3.35 |==================================== AMD EPYC 7303 16-Core . 4.55 |================================================= d ..................... 3.24 |=================================== e ..................... 2.53 |=========================== f ..................... 2.53 |=========================== g ..................... 2.53 |=========================== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 1342.68 |============================================== b ..................... 1340.29 |============================================== c ..................... 1340.12 |============================================== AMD EPYC 7303 16-Core . 237.79 |======== d ..................... 195.50 |======= e ..................... 415.32 |============== f ..................... 415.12 |============== g ..................... 415.15 |============== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 23.81 |================================== b ..................... 23.85 |================================== c ..................... 23.86 |================================== AMD EPYC 7303 16-Core . 33.62 |================================================ d ..................... 20.44 |============================= e ..................... 19.25 |=========================== f ..................... 19.25 |=========================== g ..................... 19.25 |=========================== OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a ..................... 226.15 |=============================================== b ..................... 226.27 |=============================================== c ..................... 222.73 |============================================== AMD EPYC 7303 16-Core . 47.46 |========== d ..................... 43.18 |========= e ..................... 85.51 |================== f ..................... 85.46 |================== g ..................... 84.86 |================== OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a ..................... 141.33 |======================================= b ..................... 141.24 |======================================= c ..................... 143.55 |======================================== AMD EPYC 7303 16-Core . 168.30 |=============================================== d ..................... 92.53 |========================== e ..................... 93.45 |========================== f ..................... 93.50 |========================== g ..................... 94.17 |========================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 5333.24 |============================================== b ..................... 5334.87 |============================================== c ..................... 5335.15 |============================================== AMD EPYC 7303 16-Core . 858.21 |======= d ..................... 856.63 |======= e ..................... 1727.34 |=============== f ..................... 1708.45 |=============== g ..................... 1725.37 |=============== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 23.98 |================================================ b ..................... 23.98 |================================================ c ..................... 23.97 |================================================ AMD EPYC 7303 16-Core . 18.63 |===================================== d ..................... 18.65 |===================================== e ..................... 18.46 |===================================== f ..................... 18.67 |===================================== g ..................... 18.48 |===================================== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a ..................... 2687.19 |============================================== b ..................... 2655.09 |============================================= c ..................... 2694.27 |============================================== AMD EPYC 7303 16-Core . 520.89 |========= d ..................... 369.70 |====== e ..................... 873.34 |=============== f ..................... 865.28 |=============== g ..................... 875.64 |=============== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a ..................... 11.89 |===================================== b ..................... 12.03 |====================================== c ..................... 11.86 |===================================== AMD EPYC 7303 16-Core . 15.34 |================================================ d ..................... 10.80 |================================== e ..................... 9.13 |============================= f ..................... 9.21 |============================= g ..................... 9.11 |============================= OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 899.15 |=============================================== b ..................... 897.77 |=============================================== c ..................... 898.69 |=============================================== AMD EPYC 7303 16-Core . 155.50 |======== d ..................... 171.61 |========= e ..................... 303.80 |================ f ..................... 303.83 |================ g ..................... 303.59 |================ OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 142.22 |=============================================== b ..................... 142.42 |=============================================== c ..................... 142.29 |=============================================== AMD EPYC 7303 16-Core . 102.82 |================================== d ..................... 93.16 |=============================== e ..................... 105.22 |=================================== f ..................... 105.23 |=================================== g ..................... 105.33 |=================================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 98494.41 |========================================== b ..................... 101883.13 |============================================ c ..................... 101985.21 |============================================ AMD EPYC 7303 16-Core . 23110.20 |========== d ..................... 23725.57 |========== e ..................... 46823.73 |==================== f ..................... 45126.45 |=================== g ..................... 47926.34 |===================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 0.85 |================================================ b ..................... 0.85 |================================================ c ..................... 0.86 |================================================= AMD EPYC 7303 16-Core . 0.68 |======================================= d ..................... 0.66 |====================================== e ..................... 0.67 |====================================== f ..................... 0.70 |======================================== g ..................... 0.66 |====================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better d . 17.48 |==================================== e . 32.97 |==================================================================== f . 33.04 |==================================================================== g . 32.97 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 15.74 |==================================== e . 29.62 |==================================================================== f . 29.52 |==================================================================== g . 29.59 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better d . 16.13 |==================================== e . 30.10 |=================================================================== f . 30.34 |==================================================================== g . 30.26 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better d . 15.87 |==================================== e . 29.98 |==================================================================== f . 30.13 |==================================================================== g . 30.03 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 13.84 |==================================== e . 26.07 |=================================================================== f . 26.27 |==================================================================== g . 26.16 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better d . 14.40 |===================================== e . 26.52 |==================================================================== f . 26.61 |==================================================================== g . 26.40 |=================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better d . 144 |===================================== e . 273 |===================================================================== f . 275 |====================================================================== g . 274 |====================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better d . 267 |====================================== e . 495 |====================================================================== f . 497 |====================================================================== g . 495 |====================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.56 |========================================= e . 0.95 |===================================================================== f . 0.95 |===================================================================== g . 0.95 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.56 |========================================= e . 0.95 |===================================================================== f . 0.95 |===================================================================== g . 0.95 |===================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.28 |======================================== e . 0.48 |===================================================================== f . 0.48 |===================================================================== g . 0.48 |===================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.67723 |================================================================== e . 1.74244 |=========================================== f . 1.69817 |========================================== g . 1.84652 |============================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 4.27338 |================================================================== e . 4.10412 |=============================================================== f . 3.83995 |=========================================================== g . 4.05768 |=============================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 5.54136 |================================================================= e . 5.67018 |================================================================== f . 5.66435 |================================================================== g . 5.63319 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.94173 |================================================================== e . 1.93352 |================================================================= f . 1.95220 |================================================================== g . 1.95024 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 4.63185 |================================================================== e . 3.14371 |============================================= f . 3.06111 |============================================ g . 3.14105 |============================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.92811 |================================================================== e . 1.16856 |======================================== f . 1.16545 |======================================== g . 1.17023 |======================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.34565 |================================================================== e . 1.89405 |===================================================== f . 1.77064 |================================================== g . 2.12070 |============================================================ oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.65090 |================================================ e . 1.44749 |========================================== f . 1.92348 |======================================================== g . 2.28469 |================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 4.51333 |================================================================== e . 3.84916 |======================================================== f . 4.18974 |============================================================= g . 3.94733 |========================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.768449 |============================================ e . 1.053240 |============================================================ f . 1.143790 |================================================================= g . 1.086610 |============================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 3019.31 |========================================================= e . 3494.51 |================================================================== f . 3341.93 |=============================================================== g . 3451.09 |================================================================= oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 3037.72 |======================================================== e . 3379.25 |=============================================================== f . 3281.24 |============================================================= g . 3556.44 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 3028.36 |========================================================== e . 3216.13 |============================================================= f . 3462.90 |================================================================== g . 3272.36 |============================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 1451.20 |================================================================== e . 1114.67 |=================================================== f . 1139.54 |==================================================== g . 1129.54 |=================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1445.86 |================================================================== e . 1161.80 |===================================================== f . 1153.45 |===================================================== g . 1145.62 |==================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1466.25 |================================================================== e . 1137.11 |=================================================== f . 1128.30 |=================================================== g . 1149.15 |==================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better d . 3.291 |==================================================================== e . 2.831 |========================================================== f . 2.672 |======================================================= g . 2.766 |========================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better d . 65.73 |==================================================================== e . 55.34 |========================================================= f . 60.05 |============================================================== g . 56.34 |========================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better d . 149.20 |=================================================================== e . 140.30 |=============================================================== f . 130.45 |=========================================================== g . 133.18 |============================================================