Xeon Has
Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 19.04 via the Phoronix Test Suite.


Intel Xeon E5-1680 v3: 

	Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V

	OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.3 Mesa 19.0.2, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080


Nebular Empirical Analysis Tool 2020-02-29

Seconds < Lower Is Better
Intel Xeon E5-1680 v3 . 24.01 |================================================


OpenVKL 0.9
Benchmark: vklBenchmark
Items / Sec > Higher Is Better
Intel Xeon E5-1680 v3 . 89.22 |================================================


OpenVKL 0.9
Benchmark: vklBenchmarkVdbVolume
Items / Sec > Higher Is Better
Intel Xeon E5-1680 v3 . 17694994.70 |==========================================


OpenVKL 0.9
Benchmark: vklBenchmarkStructuredVolume
Items / Sec > Higher Is Better
Intel Xeon E5-1680 v3 . 40223912.10 |==========================================


LuxCoreRender 2.3
Scene: DLSC
M samples/sec > Higher Is Better
Intel Xeon E5-1680 v3 . 1.20 |=================================================


LuxCoreRender 2.3
Scene: Rainbow Colors and Prism
M samples/sec > Higher Is Better
Intel Xeon E5-1680 v3 . 1.32 |=================================================


YafaRay 3.4.1
Total Time For Sample Scene
Seconds < Lower Is Better
Intel Xeon E5-1680 v3 . 220.88 |===============================================


Apache Cassandra 3.11.4
Test: Reads
Op/s > Higher Is Better
Intel Xeon E5-1680 v3 . 34085 |================================================


Apache Cassandra 3.11.4
Test: Writes
Op/s > Higher Is Better
Intel Xeon E5-1680 v3 . 45611 |================================================


Embree 3.9.0
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 8.6819 |===============================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 9.7905 |===============================================


Embree 3.9.0
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 9.9585 |===============================================


Embree 3.9.0
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 9.3806 |===============================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 12.08 |================================================


Embree 3.9.0
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
Intel Xeon E5-1680 v3 . 10.78 |================================================


Intel Open Image Denoise 1.2.0
Scene: Memorial
Images / Sec > Higher Is Better
Intel Xeon E5-1680 v3 . 6.75 |=================================================


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 4.49468 |==============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 61.68 |================================================


oneDNN MKL-DNN 1.3
Harness: IP Batch 1D - Data Type: u8s8f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 3.11147 |==============================================


oneDNN MKL-DNN 1.3
Harness: IP Batch All - Data Type: u8s8f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 41.33 |================================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 5.64270 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 9.00727 |==============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 191.48 |===============================================


oneDNN MKL-DNN 1.3
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 6.14181 |==============================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 277.77 |===============================================


oneDNN MKL-DNN 1.3
Harness: Recurrent Neural Network Inference - Data Type: f32
ms < Lower Is Better
Intel Xeon E5-1680 v3 . 44.79 |================================================