10980xe xmas Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 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 (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768 c: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768 OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 279 |====================================================================== b . 280 |====================================================================== c . 280 |====================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 127 |===================================================================== b . 128 |====================================================================== c . 127 |===================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.28880 |================================================================= b . 2.33760 |================================================================== c . 2.28525 |================================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.32618 |================================================================== b . 5.28717 |================================================================== c . 5.31107 |================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.690972 |================================================================= b . 0.587320 |======================================================= c . 0.648339 |============================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.24084 |============================================================== b . 1.31353 |================================================================== c . 1.26588 |================================================================ oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 6.14066 |================================================================== b . 5.87122 |=============================================================== c . 5.56162 |============================================================ oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.81732 |============================================================ b . 3.08155 |================================================================== c . 2.78239 |============================================================ oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.88049 |================================================================== b . 9.88019 |================================================================== c . 9.87986 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.73074 |================================================================ b . 4.88631 |================================================================== c . 4.62630 |============================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.69612 |================================================================== b . 2.69141 |================================================================== c . 2.69918 |================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 9.07215 |================================================================== b . 9.09880 |================================================================== c . 9.06842 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.466539 |================================================================= b . 0.466545 |================================================================= c . 0.465604 |================================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.674638 |================================================================= b . 0.660227 |================================================================ c . 0.673370 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1672.90 |================================================================== b . 1657.65 |================================================================= c . 1683.66 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 912.57 |=================================================================== b . 909.07 |=================================================================== c . 900.70 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1647.24 |================================================================ b . 1686.52 |================================================================== c . 1664.09 |================================================================= oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 7.89309 |================================================================== b . 7.86608 |================================================================== c . 7.87580 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 11.49 |=================================================================== b . 11.48 |=================================================================== c . 11.64 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 11.00 |==================================================================== b . 11.00 |==================================================================== c . 11.01 |==================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 911.54 |================================================================= b . 939.02 |=================================================================== c . 893.36 |================================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.78918 |================================================================= b . 1.81143 |================================================================== c . 1.81689 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1626.22 |=============================================================== b . 1703.85 |================================================================== c . 1695.14 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 928.73 |=================================================================== b . 930.30 |=================================================================== c . 928.76 |=================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.251099 |================================================================= b . 0.249335 |================================================================= c . 0.245642 |================================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.46082 |========================================= b . 3.98913 |================================================================== c . 2.16974 |==================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better a . 159.3 |==================================================================== b . 159.0 |==================================================================== c . 152.9 |================================================================= CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better a . 158.7 |==================================================================== b . 159.0 |==================================================================== c . 154.2 |================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 512 ops/s > Higher Is Better a . 159.1 |==================================================================== b . 158.3 |==================================================================== c . 158.3 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 ops/s > Higher Is Better a . 159.0 |==================================================================== b . 157.4 |=================================================================== c . 155.4 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better a . 11104.1 |================================================================== b . 10995.9 |================================================================= c . 10327.0 |============================================================= CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better a . 31390.2 |================================================================== b . 30507.8 |================================================================ c . 28527.7 |============================================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 ops/s > Higher Is Better a . 50634.1 |================================================================== b . 50153.3 |================================================================= c . 49311.6 |================================================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better a . 20661.5 |================================================================== b . 20255.4 |================================================================= c . 19727.1 |=============================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better a . 50643.0 |================================================================== b . 49044.8 |================================================================ c . 47974.8 |=============================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 ops/s > Higher Is Better a . 65882.6 |================================================================== b . 65233.1 |================================================================= c . 65449.7 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better a . 25908.3 |================================================================== b . 25672.7 |================================================================= c . 25698.4 |================================================================= CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better a . 58240.9 |================================================================== b . 55913.4 |=============================================================== c . 56222.4 |================================================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 ops/s > Higher Is Better a . 71155.7 |================================================================== b . 71292.0 |================================================================== c . 70621.3 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better a . 96440.7 |================================================================== b . 96721.9 |================================================================== c . 96412.6 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better a . 95255.0 |================================================================== b . 94695.0 |================================================================== c . 94401.9 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 ops/s > Higher Is Better a . 89958.6 |================================================================= b . 90820.0 |================================================================== c . 90383.0 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 53410.6 |================================================================== b . 52938.0 |================================================================= c . 53062.7 |================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 64589.8 |================================================================== b . 63971.9 |================================================================= c . 64789.4 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 66379.6 |================================================================ b . 68226.6 |================================================================== c . 68368.2 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 86060.5 |================================================================= b . 87025.7 |================================================================= c . 87854.9 |================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 6.41 |===================================================================== b . 6.43 |===================================================================== c . 6.43 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 1400.20 |================================================================== b . 1395.75 |================================================================== c . 1398.66 |================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 3.52 |===================================================================== b . 3.51 |===================================================================== c . 3.50 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 2542.41 |================================================================== b . 2553.02 |================================================================== c . 2544.83 |================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 3.50 |===================================================================== b . 3.52 |===================================================================== c . 3.50 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 2537.62 |================================================================== b . 2542.89 |================================================================== c . 2536.13 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 155.15 |================================================================== b . 156.79 |=================================================================== c . 154.84 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 57.95 |==================================================================== b . 57.34 |=================================================================== c . 58.07 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 26.71 |==================================================================== b . 26.77 |==================================================================== c . 26.73 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 336.16 |=================================================================== b . 335.87 |=================================================================== c . 335.78 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 886.61 |=================================================================== b . 891.42 |=================================================================== c . 891.07 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 10.13 |==================================================================== b . 10.08 |==================================================================== c . 10.08 |==================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 743.06 |=================================================================== b . 744.89 |=================================================================== c . 732.92 |================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 24.18 |=================================================================== b . 24.12 |=================================================================== c . 24.51 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 68.87 |================================================================ b . 72.88 |==================================================================== c . 73.03 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 130.55 |=================================================================== b . 123.42 |=============================================================== c . 123.16 |=============================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2533.80 |================================================================ b . 2608.45 |================================================================== c . 2573.45 |================================================================= OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 7.06 |===================================================================== b . 6.84 |=================================================================== c . 6.93 |==================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 451.55 |=========================================================== b . 516.00 |=================================================================== c . 514.22 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 19.90 |==================================================================== b . 17.41 |=========================================================== c . 17.47 |============================================================ OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 17554.28 |================================================================= b . 17569.49 |================================================================= c . 17563.09 |================================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.01 |===================================================================== b . 1.01 |===================================================================== c . 1.01 |===================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 19270.90 |================================================================= b . 19307.70 |================================================================= c . 19371.06 |================================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.92 |===================================================================== b . 0.91 |==================================================================== c . 0.91 |====================================================================