Core i9 10980XE Cascade Lake X
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.04 via the Phoronix Test Suite.


Intel Core i9-10980XE: 

	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: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

	OS: Ubuntu 20.04, Kernel: 5.4.0-21-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 2.24367 |==============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 32.79 |================================================


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: u8s8f32
ms < Lower Is Better
Intel Core i9-10980XE . 0.520161 |=============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: u8s8f32
ms < Lower Is Better
Intel Core i9-10980XE . 7.35444 |==============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: bf16bf16bf16
ms < Lower Is Better
Intel Core i9-10980XE . 5.52121 |==============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: bf16bf16bf16
ms < Lower Is Better
Intel Core i9-10980XE . 68.97 |================================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 1.73505 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 2.62951 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
ms < Lower Is Better
Intel Core i9-10980XE . 0.466501 |=============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
ms < Lower Is Better
Intel Core i9-10980XE . 0.672785 |=============================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 132.74 |===============================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Inference - Data Type: f32
ms < Lower Is Better
Intel Core i9-10980XE . 24.46 |================================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16
ms < Lower Is Better
Intel Core i9-10980XE . 9.06529 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16
ms < Lower Is Better
Intel Core i9-10980XE . 10.86 |================================================


Embree 3.9.0
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 19.73 |================================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 21.52 |================================================


Embree 3.9.0
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 23.02 |================================================


Embree 3.9.0
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 21.19 |================================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 27.51 |================================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
Intel Core i9-10980XE . 24.35 |================================================


Intel Open Image Denoise 1.2.0
Scene: Memorial
Images / Sec > Higher Is Better
Intel Core i9-10980XE . 25.30 |================================================


OpenVKL 0.9
Benchmark: vklBenchmark
Items / Sec > Higher Is Better
Intel Core i9-10980XE . 265.58 |===============================================


OpenVKL 0.9
Benchmark: vklBenchmarkVdbVolume
Items / Sec > Higher Is Better
Intel Core i9-10980XE . 23393309.51 |==========================================


OpenVKL 0.9
Benchmark: vklBenchmarkStructuredVolume
Items / Sec > Higher Is Better
Intel Core i9-10980XE . 72263352.42 |==========================================


OpenVKL 0.9
Benchmark: vklBenchmarkUnstructuredVolume
Items / Sec > Higher Is Better
Intel Core i9-10980XE . 2067455.45 |===========================================


YafaRay 3.4.1
Total Time For Sample Scene
Seconds < Lower Is Better
Intel Core i9-10980XE . 98.63 |================================================