new stuff Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1662 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc6daily20240706-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 201 |==================================================================== b . 201 |==================================================================== c . 206 |====================================================================== d . 195 |================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 182 |====================================================================== b . 175 |=================================================================== c . 173 |================================================================== d . 183 |====================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 5.36 |===================================================================== b . 5.36 |===================================================================== c . 5.36 |===================================================================== d . 5.36 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 7.10 |========================================================== b . 8.51 |===================================================================== c . 8.52 |===================================================================== d . 8.52 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.99 |===================================================================== b . 1.99 |===================================================================== c . 1.99 |===================================================================== d . 1.98 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 8.18 |===================================================================== b . 8.18 |===================================================================== c . 8.19 |===================================================================== d . 8.18 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 8.37 |=================================================================== b . 7.22 |========================================================= c . 8.67 |===================================================================== d . 7.21 |========================================================= Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 21.58 |==================================================================== b . 21.37 |=================================================================== c . 21.05 |================================================================== d . 21.28 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 9.822 |==================================================================== b . 9.777 |==================================================================== c . 9.474 |================================================================= d . 9.847 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 6.873 |==================================================================== b . 6.656 |================================================================== c . 6.695 |================================================================== d . 6.574 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 0.888 |============================================================== b . 0.887 |============================================================== c . 0.969 |==================================================================== d . 0.901 |=============================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 1.756 |================================================================== b . 1.804 |==================================================================== c . 1.729 |================================================================= d . 1.657 |============================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 12.65 |=================================================================== b . 12.48 |================================================================== c . 12.78 |==================================================================== d . 12.43 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 2.742 |================================================================== b . 2.808 |=================================================================== c . 2.835 |==================================================================== d . 2.839 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 1.895 |=================================================================== b . 1.934 |==================================================================== c . 1.936 |==================================================================== d . 1.831 |================================================================ Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.038 |==================================================================== b . 1.990 |================================================================== c . 1.985 |================================================================== d . 2.026 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 15.98 |==================================================================== b . 16.01 |==================================================================== c . 15.86 |=================================================================== d . 15.82 |=================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 1122 |======================================================= b . 1107 |====================================================== c . 1183 |========================================================== d . 1411 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 1599 |=================================================================== b . 1492 |============================================================== c . 1500 |=============================================================== d . 1648 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 698 |====================================================================== b . 676 |==================================================================== c . 689 |===================================================================== d . 686 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 1309 |===================================================================== b . 1285 |==================================================================== c . 1311 |===================================================================== d . 1282 |=================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 1463 |===================================================================== b . 1462 |===================================================================== c . 1447 |==================================================================== d . 1446 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 781 |======================================================== b . 976 |====================================================================== c . 790 |========================================================= d . 765 |======================================================= XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 949 |==================================================================== b . 974 |====================================================================== c . 944 |==================================================================== d . 932 |=================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 1167 |=================================================================== b . 1195 |===================================================================== c . 1160 |=================================================================== d . 1164 |=================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 719 |========================================== b . 740 |=========================================== c . 717 |========================================== d . 1192 |=====================================================================