Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.10 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 2103134-HA-SYSBENCHO81
sysbench onednn icelake
Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.10 via the Phoronix Test Suite.
,,"1","2","3"
Processor,,Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)
Motherboard,,Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS)
Chipset,,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM
Memory,,16GB,16GB,16GB
Disk,,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB
Graphics,,Intel Iris Plus G7 3GB (1100MHz),Intel Iris Plus G7 3GB (1100MHz),Intel Iris Plus G7 3GB (1100MHz)
Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289
Network,,Intel Killer Wi-Fi 6 AX1650i 160MHz,Intel Killer Wi-Fi 6 AX1650i 160MHz,Intel Killer Wi-Fi 6 AX1650i 160MHz
OS,,Ubuntu 20.10,Ubuntu 20.10,Ubuntu 20.10
Kernel,,5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64)
Desktop,,GNOME Shell 3.38.2,GNOME Shell 3.38.2,GNOME Shell 3.38.2
Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9
OpenGL,,4.6 Mesa 20.2.6,4.6 Mesa 20.2.6,4.6 Mesa 20.2.6
Vulkan,,1.2.145,1.2.145,1.2.145
Compiler,,GCC 10.2.0,GCC 10.2.0,GCC 10.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1200,1920x1200,1920x1200
,,"1","2","3"
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,9.31478,8.04446,8.03146
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,5.83056,6.38842,6.50484
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.36118,3.72900,3.72438
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,16.6185,17.7534,17.9400
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,83.7039,89.8092,90.2869
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,68.4613,72.6021,73.3867
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12670.4,13341.8,13445.0
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6565.11,6943.26,6954.15
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.69711,4.44703,4.70558
"Sysbench - Test: CPU (Events/sec)",HIB,9839.21,9311.07,9326.28
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6633.23,6939.88,6934.93
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12895.5,13254.3,13425.8
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,22.3013,22.0593,22.8786
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,6709.12,6842.26,6944.84
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.5702,12.7332,12.9717
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,13325.6,13255.0,13492.6
"Sysbench - Test: RAM / Memory (MiB/sec)",HIB,15571.54,14396.10,14220.16
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,54.3283,59.0801,59.2282
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.04089,3.85943,4.18308
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,14.8225,14.9940,15.7747
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,18.1067,17.1803,16.4722
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12.2719,11.54321,11.32277
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,36.9581,34.4332,34.4122
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.41595,4.14708,4.16486
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.78423,3.45376,3.24922
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,15.64736,9.39567,9.62702