aug11 AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Pop 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB, Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Pop 22.04, Kernel: 6.8.0-76060800daily20240311-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319 (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB, Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Pop 22.04, Kernel: 6.8.0-76060800daily20240311-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319 (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB, Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Pop 22.04, Kernel: 6.8.0-76060800daily20240311-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319 (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB, Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Pop 22.04, Kernel: 6.8.0-76060800daily20240311-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319 (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 e: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB, Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Pop 22.04, Kernel: 6.8.0-76060800daily20240311-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319 (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 2.76 |===================================================================== b . 2.77 |===================================================================== c . 2.78 |===================================================================== d . 2.76 |===================================================================== e . 2.77 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 4.33 |==================================================================== b . 4.12 |================================================================= c . 4.32 |==================================================================== d . 4.37 |===================================================================== e . 4.38 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 0.96 |===================================================================== b . 0.95 |==================================================================== c . 0.96 |===================================================================== d . 0.95 |==================================================================== e . 0.96 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 4.19 |==================================================================== b . 4.23 |===================================================================== c . 4.21 |===================================================================== d . 4.21 |===================================================================== e . 4.20 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 4.17 |==================================================================== b . 4.19 |===================================================================== c . 4.20 |===================================================================== d . 4.18 |==================================================================== e . 4.22 |===================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 63 |======================================================================= b . 58 |================================================================= c . 59 |================================================================== d . 60 |==================================================================== e . 59 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 15.45 |==================================================================== b . 15.54 |==================================================================== c . 15.47 |==================================================================== d . 15.55 |==================================================================== e . 15.53 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 2.425 |=================================================================== b . 2.447 |==================================================================== c . 2.411 |=================================================================== d . 2.395 |=================================================================== e . 2.421 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 3.923 |==================================================================== b . 3.697 |================================================================ c . 3.800 |================================================================== d . 3.753 |================================================================= e . 3.806 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 33.19 |==================================================================== b . 33.22 |==================================================================== c . 32.52 |=================================================================== d . 31.78 |================================================================= e . 32.96 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 5.654 |==================================================================== b . 5.668 |==================================================================== c . 5.615 |=================================================================== d . 5.639 |==================================================================== e . 5.668 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 4.617 |=================================================================== b . 4.623 |=================================================================== c . 4.714 |==================================================================== d . 4.548 |================================================================== e . 4.635 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 4.093 |==================================================================== b . 4.118 |==================================================================== c . 4.007 |================================================================== d . 3.983 |================================================================== e . 4.020 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 32.08 |=================================================================== b . 32.66 |==================================================================== c . 32.13 |=================================================================== d . 31.51 |================================================================== e . 31.98 |=================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 81.75 |=================================================================== b . 81.41 |=================================================================== c . 82.05 |=================================================================== d . 82.37 |==================================================================== e . 82.97 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 19.03 |==================================================================== b . 19.04 |==================================================================== c . 19.03 |==================================================================== d . 18.99 |==================================================================== e . 18.99 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 9.412 |==================================================================== b . 9.434 |==================================================================== c . 9.390 |==================================================================== d . 9.407 |==================================================================== e . 9.408 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 7134 |===================================================================== b . 7140 |===================================================================== c . 7167 |===================================================================== d . 7056 |==================================================================== e . 7035 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 9402 |==================================================================== b . 9429 |==================================================================== c . 9560 |===================================================================== d . 9222 |=================================================================== e . 9254 |=================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 5141 |==================================================================== b . 5218 |===================================================================== c . 5239 |===================================================================== d . 5015 |================================================================== e . 5048 |================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 6029 |======================================================= b . 5977 |====================================================== c . 7573 |===================================================================== d . 5849 |===================================================== e . 5928 |====================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 7166 |===================================================== b . 7170 |===================================================== c . 9308 |===================================================================== d . 7078 |==================================================== e . 7138 |===================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 5205 |======================================================== b . 5031 |====================================================== c . 6398 |===================================================================== d . 5088 |======================================================= e . 5113 |======================================================= XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 5137 |============================================================= b . 5061 |============================================================ c . 5124 |============================================================= d . 5136 |============================================================= e . 5818 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 8184 |============================================================= b . 8010 |============================================================ c . 8150 |============================================================= d . 8142 |============================================================= e . 9202 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 5432 |================================================================ b . 5176 |============================================================= c . 5345 |=============================================================== d . 5204 |============================================================== e . 5818 |=====================================================================