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
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