Core i9 10980XE June
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.


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: 5.4.0-31-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160


dav1d 0.7.0
Video Input: Chimera 1080p
FPS > Higher Is Better
Core i9 10980XE . 615.48 |=====================================================


dav1d 0.7.0
Video Input: Summer Nature 4K
FPS > Higher Is Better
Core i9 10980XE . 229.22 |=====================================================


dav1d 0.7.0
Video Input: Summer Nature 1080p
FPS > Higher Is Better
Core i9 10980XE . 559.85 |=====================================================


dav1d 0.7.0
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
Core i9 10980XE . 97.17 |======================================================


AOM AV1 2.0
Encoder Mode: Speed 0 Two-Pass
Frames Per Second > Higher Is Better
Core i9 10980XE . 0.3 |========================================================


AOM AV1 2.0
Encoder Mode: Speed 4 Two-Pass
Frames Per Second > Higher Is Better
Core i9 10980XE . 2.30 |=======================================================


AOM AV1 2.0
Encoder Mode: Speed 6 Realtime
Frames Per Second > Higher Is Better
Core i9 10980XE . 18.30 |======================================================


AOM AV1 2.0
Encoder Mode: Speed 6 Two-Pass
Frames Per Second > Higher Is Better
Core i9 10980XE . 3.65 |=======================================================


AOM AV1 2.0
Encoder Mode: Speed 8 Realtime
Frames Per Second > Higher Is Better
Core i9 10980XE . 33.05 |======================================================


Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Test Cases Per Minute > Higher Is Better
Core i9 10980XE . 896.38 |=====================================================


Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Test Cases Per Minute > Higher Is Better
Core i9 10980XE . 21197.27 |===================================================


Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
Test Cases Per Minute > Higher Is Better
Core i9 10980XE . 1333.68 |====================================================


BRL-CAD 7.30.8
VGR Performance Metric
VGR Performance Metric > Higher Is Better
Core i9 10980XE . 208917 |=====================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 2.24399 |====================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 32.62 |======================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 0.517655 |===================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 7.34152 |====================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 5.52794 |====================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 64.20 |======================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 9.84158 |====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 1.71128 |====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 2.62793 |====================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 9.27300 |====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 0.460620 |===================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 0.681139 |===================================================


oneDNN 1.5
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 163.87 |=====================================================


oneDNN 1.5
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 52.26 |======================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 8.07360 |====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 9.24464 |====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 10.84 |======================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 1.41879 |====================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 0.367382 |===================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Core i9 10980XE . 1.70946 |====================================================


Rodinia 3.1
Test: OpenMP LavaMD
Seconds < Lower Is Better
Core i9 10980XE . 123.07 |=====================================================


Rodinia 3.1
Test: OpenMP Myocyte
Seconds < Lower Is Better
Core i9 10980XE . 15.76 |======================================================


Rodinia 3.1
Test: OpenMP HotSpot3D
Seconds < Lower Is Better
Core i9 10980XE . 96.54 |======================================================


Rodinia 3.1
Test: OpenMP Leukocyte
Seconds < Lower Is Better
Core i9 10980XE . 57.66 |======================================================


Rodinia 3.1
Test: OpenMP CFD Solver
Seconds < Lower Is Better
Core i9 10980XE . 11.64 |======================================================


Rodinia 3.1
Test: OpenMP Streamcluster
Seconds < Lower Is Better
Core i9 10980XE . 15.14 |======================================================


Java Gradle Build
Gradle Build: Reactor
Seconds < Lower Is Better
Core i9 10980XE . 252.21 |=====================================================


libavif avifenc 0.7.3
Encoder Speed: 0
Seconds < Lower Is Better
Core i9 10980XE . 69.95 |======================================================


libavif avifenc 0.7.3
Encoder Speed: 2
Seconds < Lower Is Better
Core i9 10980XE . 41.27 |======================================================


libavif avifenc 0.7.3
Encoder Speed: 8
Seconds < Lower Is Better
Core i9 10980XE . 5.113 |======================================================


libavif avifenc 0.7.3
Encoder Speed: 10
Seconds < Lower Is Better
Core i9 10980XE . 4.959 |======================================================


Timed Linux Kernel Compilation 5.4
Time To Compile
Seconds < Lower Is Better
Core i9 10980XE . 48.66 |======================================================


YafaRay 3.4.1
Total Time For Sample Scene
Seconds < Lower Is Better
Core i9 10980XE . 100.40 |=====================================================