whiskey may Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 3GB on Ubuntu 21.10 via the Phoronix Test Suite. A: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.10, Kernel: 5.13.0-27-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.10, Kernel: 5.13.0-27-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.10, Kernel: 5.13.0-27-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Renaissance 0.14 Test: Scala Dotty ms < Lower Is Better A . 1108.2 |============================================================= B . 1214.8 |=================================================================== C . 1115.4 |============================================================== Renaissance 0.14 Test: Random Forest ms < Lower Is Better A . 877.4 |==================================================================== B . 847.7 |================================================================== C . 846.8 |================================================================== Renaissance 0.14 Test: ALS Movie Lens ms < Lower Is Better A . 23567.3 |================================================================== B . 23206.4 |================================================================= C . 22751.3 |================================================================ Renaissance 0.14 Test: Apache Spark ALS ms < Lower Is Better A . 30552.0 |================================================================== B . 29732.1 |================================================================ C . 30215.0 |================================================================= Renaissance 0.14 Test: Apache Spark Bayes ms < Lower Is Better A . 4832.5 |============================================================ B . 4574.3 |========================================================= C . 5379.1 |=================================================================== Renaissance 0.14 Test: Savina Reactors.IO ms < Lower Is Better A . 12864.7 |================================================================== B . 12484.8 |================================================================ C . 12954.7 |================================================================== Renaissance 0.14 Test: Apache Spark PageRank ms < Lower Is Better A . 4808.5 |=============================================================== B . 4788.5 |=============================================================== C . 5078.8 |=================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better A . 4983.5 |================================================================= B . 4856.7 |=============================================================== C . 5175.5 |=================================================================== Renaissance 0.14 Test: In-Memory Database Shootout ms < Lower Is Better A . 5137.9 |=================================================================== B . 5036.2 |================================================================== C . 5067.2 |================================================================== Renaissance 0.14 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better A . 15285.0 |================================================================= B . 15433.2 |================================================================= C . 15611.1 |================================================================== Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better A . 2149.2 |=================================================================== B . 2130.4 |================================================================== C . 2098.2 |================================================================= SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.547 |================================================================== B . 0.562 |==================================================================== C . 0.557 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 7.548 |==================================================================== B . 7.362 |================================================================== C . 7.386 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 25.41 |==================================================================== B . 25.59 |==================================================================== C . 24.85 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 37.71 |=============================================================== B . 40.69 |==================================================================== C . 40.24 |=================================================================== SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 1.930 |==================================================================== B . 1.924 |==================================================================== C . 1.871 |================================================================== SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 33.66 |=================================================================== B . 34.11 |==================================================================== C . 33.90 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 73.81 |=================================================================== B . 74.36 |==================================================================== C . 73.89 |==================================================================== SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 172.78 |================================================================== B . 175.14 |=================================================================== C . 173.04 |================================================================== libavif avifenc 0.10 Encoder Speed: 0 Seconds < Lower Is Better A . 522.30 |================================================================== B . 515.26 |================================================================== C . 526.42 |=================================================================== libavif avifenc 0.10 Encoder Speed: 2 Seconds < Lower Is Better A . 228.55 |================================================================== B . 226.24 |================================================================== C . 230.61 |=================================================================== libavif avifenc 0.10 Encoder Speed: 6 Seconds < Lower Is Better A . 31.42 |==================================================================== B . 31.28 |==================================================================== C . 31.51 |==================================================================== libavif avifenc 0.10 Encoder Speed: 6, Lossless Seconds < Lower Is Better A . 37.98 |=================================================================== B . 38.17 |==================================================================== C . 38.42 |==================================================================== libavif avifenc 0.10 Encoder Speed: 10, Lossless Seconds < Lower Is Better A . 13.95 |==================================================================== B . 13.86 |==================================================================== C . 13.67 |=================================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 9.16718 |================================================================== B . 9.14579 |================================================================== C . 9.14770 |================================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 18.30 |=================================================================== B . 18.39 |=================================================================== C . 18.58 |==================================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 23.45 |==================================================================== B . 23.45 |==================================================================== C . 23.62 |==================================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 19.38 |==================================================================== B . 15.77 |======================================================= C . 16.03 |======================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 16.45 |==================================================================== B . 16.46 |==================================================================== C . 16.50 |==================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 11599.9 |================================================================= B . 11511.7 |================================================================ C . 11811.2 |================================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 6212.03 |================================================================= B . 6299.79 |================================================================== C . 5668.30 |=========================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 5.84159 |================================================================ B . 5.85271 |================================================================ C . 5.99235 |================================================================== WebP2 Image Encode 20220422 Encode Settings: Default Seconds < Lower Is Better A . 10.27 |================================================================ B . 10.12 |=============================================================== C . 10.88 |==================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 75, Compression Effort 7 Seconds < Lower Is Better A . 738.86 |================================================================== B . 732.79 |================================================================= C . 751.28 |=================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 95, Compression Effort 7 Seconds < Lower Is Better A . 1577.24 |================================================================= B . 1573.33 |================================================================= C . 1597.16 |================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Compression Effort 5 Seconds < Lower Is Better A . 18.18 |==================================================================== B . 18.13 |==================================================================== C . 18.00 |=================================================================== WebP2 Image Encode 20220422 Encode Settings: Quality 100, Lossless Compression Seconds < Lower Is Better A . 3549.58 |================================================================= B . 3553.10 |================================================================= C . 3582.80 |================================================================== TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better A . 9362.15 |================================================================== B . 8765.72 |============================================================== C . 8768.11 |============================================================== TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better A . 141566 |=================================================================== B . 140470 |================================================================== C . 139000 |================================================================== TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better A . 20037.9 |================================================================= B . 20041.8 |================================================================= C . 20387.9 |================================================================== TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better A . 6536.17 |================================================================= B . 6476.70 |================================================================= C . 6606.84 |================================================================== TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better A . 9291.11 |================================================================ B . 9396.67 |================================================================= C . 9612.65 |================================================================== TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better A . 123802 |=================================================================== B . 122057 |================================================================== C . 122658 |================================================================== Stress-NG 0.14 Test: MMAP Bogo Ops/s > Higher Is Better A . 34.89 |=================================================================== B . 35.55 |==================================================================== C . 27.50 |===================================================== Stress-NG 0.14 Test: NUMA Bogo Ops/s > Higher Is Better A . 64.46 |====================================================== B . 69.98 |=========================================================== C . 80.84 |==================================================================== Stress-NG 0.14 Test: Futex Bogo Ops/s > Higher Is Better A . 984276.75 |================================================================ B . 841458.27 |======================================================= C . 726830.85 |=============================================== Stress-NG 0.14 Test: MEMFD Bogo Ops/s > Higher Is Better A . 233.02 |================================================================== B . 230.04 |================================================================= C . 235.84 |=================================================================== Stress-NG 0.14 Test: Atomic Bogo Ops/s > Higher Is Better A . 187242.18 |========================================================= B . 172645.61 |===================================================== C . 209975.07 |================================================================ Stress-NG 0.14 Test: Crypto Bogo Ops/s > Higher Is Better A . 4234.94 |================================================================== B . 4196.79 |================================================================= C . 4108.35 |================================================================ Stress-NG 0.14 Test: Malloc Bogo Ops/s > Higher Is Better A . 786516.31 |=============================================================== B . 784483.97 |=============================================================== C . 796327.47 |================================================================ Stress-NG 0.14 Test: Forking Bogo Ops/s > Higher Is Better A . 25816.43 |=============================================================== B . 26636.13 |================================================================= C . 21691.65 |===================================================== Stress-NG 0.14 Test: IO_uring Bogo Ops/s > Higher Is Better A . 302818.82 |===================================================== B . 293686.96 |==================================================== C . 362689.68 |================================================================ Stress-NG 0.14 Test: SENDFILE Bogo Ops/s > Higher Is Better A . 47280.21 |================================================================= B . 47554.49 |================================================================= C . 40007.80 |======================================================= Stress-NG 0.14 Test: CPU Cache Bogo Ops/s > Higher Is Better A . 151.33 |================================================================= B . 152.70 |================================================================= C . 156.30 |=================================================================== Stress-NG 0.14 Test: CPU Stress Bogo Ops/s > Higher Is Better A . 7589.81 |================================================================== B . 7633.39 |================================================================== C . 7632.98 |================================================================== Stress-NG 0.14 Test: Semaphores Bogo Ops/s > Higher Is Better A . 569106.07 |================================================================ B . 536955.09 |============================================================ C . 542191.63 |============================================================= Stress-NG 0.14 Test: Matrix Math Bogo Ops/s > Higher Is Better A . 15407.63 |================================================================= B . 15339.07 |================================================================ C . 15493.40 |================================================================= Stress-NG 0.14 Test: Vector Math Bogo Ops/s > Higher Is Better A . 13849.36 |================================================================= B . 13875.60 |================================================================= C . 13782.98 |================================================================= Stress-NG 0.14 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better A . 3926.92 |================================================================== B . 3934.83 |================================================================== C . 3920.37 |================================================================== Stress-NG 0.14 Test: Memory Copying Bogo Ops/s > Higher Is Better A . 783.07 |================================================================== B . 788.18 |================================================================== C . 795.41 |=================================================================== Stress-NG 0.14 Test: Socket Activity Bogo Ops/s > Higher Is Better A . 4042.45 |================================================================== B . 4028.21 |================================================================== C . 3927.73 |================================================================ Stress-NG 0.14 Test: Context Switching Bogo Ops/s > Higher Is Better A . 1212250.08 |=============================================================== B . 1209254.98 |=============================================================== C . 1198032.18 |============================================================== Stress-NG 0.14 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better A . 431633.52 |================================================================ B . 420544.30 |============================================================== C . 369044.71 |======================================================= Stress-NG 0.14 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better A . 45.97 |=================================================================== B . 46.07 |=================================================================== C . 46.50 |==================================================================== Stress-NG 0.14 Test: System V Message Passing Bogo Ops/s > Higher Is Better A . 3599888.11 |=============================================================== B . 3583886.60 |=============================================================== C . 3583111.64 |=============================================================== ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 2930 |===================================================================== B . 2925 |===================================================================== C . 2856 |=================================================================== ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 3418 |===================================================================== B . 3386 |==================================================================== C . 3197 |================================================================= ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 137 |==================================================================== B . 141 |====================================================================== C . 137 |==================================================================== ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 190 |====================================================================== B . 185 |==================================================================== C . 131 |================================================ ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 185 |================================================================== B . 196 |====================================================================== C . 189 |==================================================================== ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 293 |====================================================================== B . 189 |============================================= C . 289 |===================================================================== ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 24 |======================================================================= B . 24 |======================================================================= C . 24 |======================================================================= ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 29 |===================================================================== B . 30 |======================================================================= C . 29 |===================================================================== ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 466 |====================================================================== B . 457 |===================================================================== C . 439 |================================================================== ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 587 |==================================================================== B . 602 |====================================================================== C . 603 |====================================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Minute > Higher Is Better A . 1348 |==================================================================== B . 1364 |===================================================================== C . 1246 |=============================================================== ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Minute > Higher Is Better A . 1713 |==================================================================== B . 1128 |============================================= C . 1745 |=====================================================================