i9 10980XE oneDNN

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2006214-PTS-I910980X18
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Core i9 10980XE
June 21 2020
  52 Minutes
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i9 10980XE oneDNN 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,,DELL P2415Q 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 ,,"Core i9 10980XE" "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.72197 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.366970 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.41428 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,10.8941 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.29792 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8.07568 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,53.8096 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,168.488 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.696851 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.462452 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.29002 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.67626 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,1.73847 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.82147 "oneDNN - Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,64.1450 "oneDNN - Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.59420 "oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.39512 "oneDNN - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.520544 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,60.2 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,4732.4 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,242.352 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,33.6325 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,5.81494