ddddddd Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.8.0-40-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.8.0-40-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 c: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.8.0-40-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 Opus Codec Encoding 1.5.2 WAV To Opus Encode Seconds < Lower Is Better a . 34.78 |==================================================================== b . 34.78 |==================================================================== c . 34.74 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 1340 |==================================================================== b . 1354 |===================================================================== c . 1341 |==================================================================== Epoch 4.19.4 Epoch3D Deck: Cone Seconds < Lower Is Better a . 435.68 |=================================================================== b . 434.75 |=================================================================== c . 437.37 |=================================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 29297.0 |================================================================== b . 29445.7 |================================================================== c . 29089.5 |================================================================= XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 1705 |===================================================================== b . 1705 |===================================================================== c . 1556 |=============================================================== LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 2087.84 |================================================================== b . 2072.78 |================================================================= c . 2090.65 |================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 2618 |===================================================================== b . 2580 |==================================================================== c . 2597 |==================================================================== LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 2648.03 |================================================================== b . 2627.36 |================================================================= c . 2602.10 |================================================================= XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 1704 |=================================================================== b . 1697 |================================================================== c . 1767 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 1880 |===================================================================== b . 1881 |===================================================================== c . 1888 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 1949 |=================================================================== b . 2007 |===================================================================== c . 2016 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 2847 |===================================================================== b . 2773 |=================================================================== c . 2619 |=============================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 2031 |===================================================================== b . 1905 |================================================================= c . 1843 |=============================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 1466 |==================================================================== b . 1479 |===================================================================== c . 1409 |================================================================== LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 21869.1 |================================================================== b . 21089.4 |================================================================ c . 21127.9 |================================================================ LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 1316.17 |================================================================= b . 1346.56 |================================================================== c . 1331.22 |================================================================= NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 1.93415 |================================================================== b . 1.91454 |================================================================= c . 1.92236 |================================================================== NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.59208 |================================================================== b . 0.59354 |================================================================== c . 0.59313 |================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 1.46008 |================================================================== b . 1.46395 |================================================================== c . 1.46127 |================================================================== oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 3.93174 |================================================================== b . 3.93445 |================================================================== c . 3.94097 |================================================================== oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 9.93973 |================================================================== b . 9.92162 |================================================================== c . 9.92911 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 2.71761 |================================================================== b . 2.70185 |================================================================== c . 2.70150 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 1771.59 |================================================================== b . 1745.49 |================================================================= c . 1753.81 |================================================================= oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 947.47 |=================================================================== b . 941.99 |=================================================================== c . 940.33 |================================================================== Apache CouchDB 3.4.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better a . 120.69 |================================================================ b . 116.91 |============================================================== c . 126.92 |=================================================================== LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 2712.82 |================================================================== b . 2699.23 |================================================================= c . 2723.35 |================================================================== LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 25697.9 |================================================================= b . 25894.3 |================================================================== c . 25742.2 |================================================================== LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 1412.99 |================================================================== b . 1419.80 |================================================================== c . 1418.16 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 3.30574 |================================================================== b . 3.29741 |================================================================== c . 3.29847 |================================================================== Apache CouchDB 3.4.1 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better a . 235.90 |=============================================================== b . 234.78 |=============================================================== c . 249.68 |=================================================================== Apache Cassandra 5.0 Test: Writes Op/s > Higher Is Better PostgreSQL 17 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 888063 |=================================================================== b . 885582 |=================================================================== c . 878344 |================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.563 |=================================================================== b . 0.565 |==================================================================== c . 0.569 |==================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 664800 |================================================================== b . 669805 |=================================================================== c . 670783 |=================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.203 |==================================================================== b . 1.194 |=================================================================== c . 1.193 |=================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 581565 |================================================================== b . 589112 |=================================================================== c . 580726 |================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.719 |==================================================================== b . 1.697 |=================================================================== c . 1.722 |==================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 418 |====================================================================== b . 386 |================================================================= c . 386 |================================================================= PostgreSQL 17 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1196.78 |============================================================= b . 1296.73 |================================================================== c . 1294.34 |================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 349 |====================================================================== b . 302 |============================================================= c . 344 |===================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2294.54 |========================================================= b . 2652.18 |================================================================== c . 2326.71 |========================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 292 |=============================================================== b . 282 |============================================================= c . 326 |====================================================================== PostgreSQL 17 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 3422.49 |================================================================ b . 3541.43 |================================================================== c . 3065.71 |========================================================= PostgreSQL 17 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 805481 |================================================================== b . 816270 |=================================================================== c . 811966 |=================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.621 |==================================================================== b . 0.613 |=================================================================== c . 0.616 |=================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 603121 |================================================================== b . 606064 |=================================================================== c . 607927 |=================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.326 |==================================================================== b . 1.320 |==================================================================== c . 1.316 |=================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 531676 |=================================================================== b . 531395 |=================================================================== c . 526597 |================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.881 |=================================================================== b . 1.882 |=================================================================== c . 1.899 |==================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 15251 |==================================================================== b . 14377 |================================================================ c . 13419 |============================================================ PostgreSQL 17 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 32.79 |============================================================ b . 34.78 |=============================================================== c . 37.26 |==================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 15670 |==================================================================== b . 14754 |================================================================ c . 13695 |=========================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 51.05 |=========================================================== b . 54.22 |=============================================================== c . 58.42 |==================================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 15125 |==================================================================== b . 14790 |================================================================== c . 13775 |============================================================== PostgreSQL 17 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 66.11 |============================================================== b . 67.61 |=============================================================== c . 72.59 |====================================================================