mon12 Intel Core i7-1165G7 testing with a Dell XPS 13 9310 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-28-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-28-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-28-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 d: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-28-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Build2 0.17 Time To Compile Seconds < Lower Is Better a . 501.73 |=================================================================== b . 494.74 |================================================================== c . 492.85 |================================================================== d . 496.97 |================================================================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 55 |===================================================================== b . 57 |======================================================================= c . 56 |====================================================================== d . 52 |================================================================= LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 46 |==================================================================== b . 48 |======================================================================= c . 47 |====================================================================== d . 47 |====================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 13.35 |=============================================================== b . 14.49 |==================================================================== c . 13.66 |================================================================ d . 13.68 |================================================================ Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.752 |================================================================= b . 1.824 |==================================================================== c . 1.782 |================================================================== d . 1.763 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 3.645 |==================================================================== b . 3.215 |============================================================ c . 3.407 |================================================================ d . 3.638 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 21.05 |==================================================================== b . 20.22 |================================================================= c . 20.91 |==================================================================== d . 21.04 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.020 |==================================================================== b . 5.013 |========================================================= c . 4.900 |======================================================= d . 4.871 |======================================================= Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 3.758 |==================================================================== b . 3.119 |======================================================== c . 3.191 |========================================================== d . 3.584 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 4.491 |==================================================================== b . 3.508 |===================================================== c . 3.500 |===================================================== d . 3.585 |====================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 37.59 |================================================================= b . 39.03 |==================================================================== c . 38.96 |==================================================================== d . 37.67 |================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 3.30 |================================================================= b . 3.53 |===================================================================== c . 3.53 |===================================================================== d . 3.32 |================================================================= simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 7.68 |===================================================================== b . 7.49 |=================================================================== c . 7.68 |===================================================================== d . 7.69 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.24 |==================================================================== b . 1.25 |===================================================================== c . 1.25 |===================================================================== d . 1.21 |=================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 7.47 |===================================================================== b . 7.46 |===================================================================== c . 7.46 |===================================================================== d . 7.45 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 7.57 |===================================================================== b . 7.57 |===================================================================== c . 7.58 |===================================================================== d . 7.56 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 2835 |===================================================================== b . 2653 |================================================================= c . 2700 |================================================================== d . 2649 |================================================================ XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 3143 |===================================================================== b . 3150 |===================================================================== c . 3159 |===================================================================== d . 3149 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 1099 |===================================================================== b . 1100 |===================================================================== c . 1098 |===================================================================== d . 1096 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 4945 |===================================================================== b . 4942 |===================================================================== c . 4954 |===================================================================== d . 4941 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 4368 |===================================================================== b . 4367 |===================================================================== c . 4385 |===================================================================== d . 4378 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1473 |==================================================================== b . 1474 |===================================================================== c . 1484 |===================================================================== d . 1482 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 2513 |===================================================================== b . 2512 |===================================================================== c . 2514 |===================================================================== d . 2527 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 2285 |===================================================================== b . 2287 |===================================================================== c . 2287 |===================================================================== d . 2289 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 859 |====================================================================== b . 864 |====================================================================== c . 861 |====================================================================== d . 860 |====================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 59.44 |==================================================================== b . 57.78 |================================================================== c . 58.00 |================================================================== d . 58.34 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 26.89 |==================================================================== b . 26.37 |=================================================================== c . 26.45 |=================================================================== d . 26.24 |==================================================================