10700t comet weds

Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 3GB on Ubuntu 21.10 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 2203303-NE-10700TCOM78
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
March 30 2022
  1 Hour, 37 Minutes
B
March 30 2022
  26 Minutes
C
March 30 2022
  18 Minutes
Invert Hiding All Results Option
  47 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

10700t comet weds Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 3GB on Ubuntu 21.10 via the Phoronix Test Suite. ,,"A","B","C" Processor,,Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads) Motherboard,,Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS) Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH Memory,,32GB,32GB,32GB Disk,,256GB TS256GMTS800,256GB TS256GMTS800,256GB TS256GMTS800 Graphics,,Intel UHD 630 CML GT2 3GB (1200MHz),Intel UHD 630 CML GT2 3GB (1200MHz),Intel UHD 630 CML GT2 3GB (1200MHz) Audio,,Realtek ALC233,Realtek ALC233,Realtek ALC233 Monitor,,DELL P2415Q,DELL P2415Q,DELL P2415Q Network,,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210 OS,,Ubuntu 21.10,Ubuntu 21.10,Ubuntu 21.10 Kernel,,5.13.0-35-generic (x86_64),5.13.0-35-generic (x86_64),5.13.0-35-generic (x86_64) Desktop,,GNOME Shell 40.5,GNOME Shell 40.5,GNOME Shell 40.5 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 21.2.2,4.6 Mesa 21.2.2,4.6 Mesa 21.2.2 Vulkan,,1.2.182,1.2.182,1.2.182 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"A","B","C" "perf-bench - Benchmark: Epoll Wait (ops/sec)",HIB,109366,115261,112104 "perf-bench - Benchmark: Futex Hash (ops/sec)",HIB,3559455,3644833,3674250 "perf-bench - Benchmark: Memcpy 1MB (GB/sec)",HIB,26.836621,26.803861,25.616662 "perf-bench - Benchmark: Memset 1MB (GB/sec)",HIB,43.091819,43.234222,41.195661 "perf-bench - Benchmark: Sched Pipe (ops/sec)",HIB,163024,161604,161030 "perf-bench - Benchmark: Futex Lock-Pi (ops/sec)",HIB,843,845,848 "perf-bench - Benchmark: Syscall Basic (ops/sec)",HIB,14180008,14188609,14102641 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,6.31917,4.19472,4.18294 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,9.74806,9.64795,9.36624 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.80373,2.2005,2.26074 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.62391,2.48963,2.43947 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.0221,17.0692,17.017 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,14.0868,11.0421,12.9019 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,9.22489,8.17558,8.25954 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,15.5284,15.5771,15.4461 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.87824,3.76516,3.76013 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.46541,4.65868,4.60998 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,6791.09,6778.99,6787.52 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3603.05,3588.14,3594.68 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6792.71,6780.39,6786.74 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3597.62,3575.32,3590.54 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.98170,3.96065,3.94494 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6801.99,6804,6790.86 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3612.75,3619.68,3600.38 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.26038,2.30454,2.24351 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "ONNX Runtime - Model: GPT-2 - Device: CPU (Inferences/min)",HIB,3644,3713,3711 "ONNX Runtime - Model: yolov4 - Device: CPU (Inferences/min)",HIB,203,203,204 "ONNX Runtime - Model: bertsquad-12 - Device: CPU (Inferences/min)",HIB,303,306, "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU (Inferences/min)",HIB,39,39, "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU (Inferences/min)",HIB,694,703, "ONNX Runtime - Model: super-resolution-10 - Device: CPU (Inferences/min)",HIB,2167,2186,