new rn tr AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 24.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: AMD Radeon RX 6700 XT 12GB, Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E OS: Ubuntu 24.10, Kernel: 6.11.0-8-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: AMD Radeon RX 6700 XT 12GB, Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E OS: Ubuntu 24.10, Kernel: 6.11.0-8-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: AMD Radeon RX 6700 XT 12GB, Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E OS: Ubuntu 24.10, Kernel: 6.11.0-8-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200 d: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: AMD Radeon RX 6700 XT 12GB, Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E OS: Ubuntu 24.10, Kernel: 6.11.0-8-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200 LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 13513.8 |================================================================== b . 12117.3 |=========================================================== c . 11896.5 |========================================================== d . 12363.4 |============================================================ LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 3266.42 |================================================================= b . 3303.96 |================================================================== c . 3264.06 |================================================================= d . 3282.50 |================================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 26612.8 |================================================================== b . 26574.6 |================================================================== c . 26433.2 |================================================================== d . 26390.1 |================================================================= LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 173455 |=================================================================== b . 156703 |============================================================= c . 142541 |======================================================= d . 151275 |========================================================== LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 2102.99 |================================================================= b . 2141.96 |================================================================== c . 2112.35 |================================================================= d . 2132.45 |================================================================== LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 15789.8 |=============================================================== b . 16068.8 |================================================================ c . 16501.2 |================================================================== d . 15994.0 |================================================================ LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 34923.9 |================================================================== b . 33651.9 |================================================================ c . 34821.7 |================================================================== d . 34742.1 |================================================================== LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 7924.86 |================================================================== b . 7935.03 |================================================================== c . 7672.13 |================================================================ d . 7531.43 |=============================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 2119 |==================================================================== b . 2156 |===================================================================== c . 2156 |===================================================================== d . 2159 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 4032 |===================================================================== b . 4053 |===================================================================== c . 4055 |===================================================================== d . 4007 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 5962 |==================================================================== b . 6005 |===================================================================== c . 6047 |===================================================================== d . 5932 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 4238 |==================================================================== b . 4271 |===================================================================== c . 4269 |===================================================================== d . 4285 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 2031 |==================================================================== b . 2052 |==================================================================== c . 2070 |===================================================================== d . 2052 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 3743 |==================================================================== b . 3804 |===================================================================== c . 3825 |===================================================================== d . 3762 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 5624 |=================================================================== b . 5748 |==================================================================== c . 5827 |===================================================================== d . 5806 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 4164 |=================================================================== b . 4301 |===================================================================== c . 4255 |==================================================================== d . 4294 |===================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 4031 |===================================================================== b . 3988 |==================================================================== c . 4025 |===================================================================== d . 3985 |==================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 0.582029 |================================================================= b . 0.573270 |================================================================ c . 0.577303 |================================================================ d . 0.572739 |================================================================ oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 0.335141 |================================================================ b . 0.337890 |================================================================= c . 0.333022 |================================================================ d . 0.337384 |================================================================= oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 0.557676 |================================================================= b . 0.554351 |================================================================ c . 0.560390 |================================================================= d . 0.554405 |================================================================ oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 7.46041 |================================================================== b . 7.42610 |================================================================= c . 7.50405 |================================================================== d . 7.48971 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 1.02976 |================================================================== b . 1.02672 |================================================================== c . 1.02743 |================================================================== d . 1.02498 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 546.40 |================================================================== b . 548.73 |=================================================================== c . 548.89 |=================================================================== d . 550.54 |=================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 326.24 |=================================================================== b . 326.79 |=================================================================== c . 325.45 |=================================================================== d . 325.78 |===================================================================