gnr-new 2 x Intel Xeon 6980P testing with a Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: Intel Xeon 6980P @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 768GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Xeon 6980P @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 768GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Xeon 6980P @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 768GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 d: Processor: 2 x Intel Xeon 6980P @ 3.90GHz (256 Cores / 512 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 1520GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 e: Processor: 2 x Intel Xeon 6980P @ 3.90GHz (256 Cores / 512 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 1520GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 f: Processor: 2 x Intel Xeon 6980P @ 3.90GHz (256 Cores / 512 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 1520GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 g: Processor: 2 x Intel Xeon 6980P @ 3.90GHz (256 Cores / 512 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 1520GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 h: Processor: 2 x Intel Xeon 6980P @ 3.90GHz (256 Cores / 512 Threads), Motherboard: Intel AvenueCity v0.01 (BHSDCRB1.IPC.0035.D44.2408292336 BIOS), Chipset: Intel Ice Lake IEH, Memory: 1520GB, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Intel 10-Gigabit X540-AT2 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 45569.5 |========================= b . 34737.6 |=================== c . 36867.6 |==================== d . 120180.0 |================================================================= LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 14175.2 |================= b . 13568.9 |================= c . 13116.8 |================ d . 53573.6 |================================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 73575.5 |============= b . 81248.7 |============== c . 78595.3 |============== d . 365116.0 |================================================================= LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 187424 |========== b . 227700 |============= c . 291285 |================ d . 1182200 |================================================================== LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 7701.36 |======== b . 8300.10 |======== c . 8544.30 |======== d . 66587.90 |================================================================= LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 23350.5 |============================ b . 14592.4 |================= c . 20879.4 |========================= d . 55675.6 |================================================================== LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 97036.8 |======= b . 108579.0 |======== c . 167708.0 |============ d . 918207.0 |================================================================= LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 17895.1 |============= b . 15577.7 |=========== c . 15569.9 |=========== d . 92404.1 |================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 0.533866 |========================= b . 0.588435 |============================ c . 0.578234 |============================ d . 1.362190 |================================================================= oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 0.968782 |=========================================== b . 0.957475 |=========================================== c . 0.945705 |========================================== d . 1.454560 |================================================================= oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 0.307993 |======================================= b . 0.291766 |==================================== c . 0.297140 |===================================== d . 0.519800 |================================================================= oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 77.82 |============================== b . 79.15 |============================== c . 80.15 |============================== d . 176.37 |=================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 1.12242 |================================================================== b . 1.10921 |================================================================= c . 1.12372 |================================================================== d . 1.08184 |================================================================ oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 922.33 |=============================================== b . 940.14 |================================================ c . 946.68 |================================================ d . 1300.17 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 541.57 |======================================== b . 554.01 |========================================= c . 554.40 |========================================= d . 907.42 |=================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-64 Seconds < Lower Is Better a . 12.18 |=========================================================== b . 12.53 |============================================================= c . 12.53 |============================================================= d . 14.03 |==================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better a . 107.61 |================================================================== b . 109.30 |=================================================================== c . 109.89 |=================================================================== d . 78.62 |================================================ e . 79.27 |================================================ f . 81.10 |================================================= g . 79.05 |================================================ h . 81.04 |================================================= CP2K Molecular Dynamics 2024.3 Input: Fayalite-FIST Seconds < Lower Is Better a . 75.86 |=========================================================== b . 76.24 |=========================================================== c . 76.13 |=========================================================== d . 88.10 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 7326 |=================== b . 6677 |================= c . 6934 |================== d . 26673 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 14100 |=============== b . 14261 |=============== c . 14549 |================ d . 62736 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 21106 |================= b . 22355 |================== c . 20904 |================= d . 83616 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 16497 |====== b . 17230 |====== c . 16241 |====== d . 185501 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 6572 |============= b . 6116 |============ c . 6061 |============ d . 34728 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 13055 |================ b . 13002 |================ c . 13643 |================= d . 54548 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 20564 |===== b . 24350 |====== c . 20236 |===== d . 290035 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 16450 |======= b . 147931 |=============================================================== c . 16425 |======= d . 157277 |=================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 16018 |== b . 16209 |== c . 16602 |== d . 480430 |===================================================================