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
10700t comet weds,
"ONNX Runtime 1.11 - Model: GPT-2 - Device: CPU",
Higher Results Are Better
"A",3726.5,3609,3596.5
"B",
"C",3710.5
"ONNX Runtime 1.11 - Model: yolov4 - Device: CPU",
Higher Results Are Better
"A",203.5,202.5,202
"B",
"C",203.5
"ONNX Runtime 1.11 - Model: bertsquad-12 - Device: CPU",
Higher Results Are Better
"A",305.5,302,300.5
"B",
"ONNX Runtime 1.11 - Model: fcn-resnet101-11 - Device: CPU",
Higher Results Are Better
"A",38.5,38,39
"B",38.5
"ONNX Runtime 1.11 - Model: ArcFace ResNet-100 - Device: CPU",
Higher Results Are Better
"A",697,690.5,693
"B",
"ONNX Runtime 1.11 - Model: super-resolution-10 - Device: CPU",
Higher Results Are Better
"A",2175.5,2158.5,2165.5
"B",2185.5
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",4.28329,6.55457,6.55818,6.47215,6.48273,6.50448,6.47001,6.48196,6.49095,6.50276,6.52389,6.50508
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",9.68676,9.78483,9.7726
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",2.39647,2.8411,2.84015,2.82157,2.83814,2.82883,2.89876,2.83517,2.83012,2.8413,2.82813,2.84496
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",2.41358,2.64442,2.65413,2.66036,2.63754,2.64936,2.63937,2.63277,2.64132,2.65914,2.62853,2.62641
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",17.0103,17.0602,16.9958
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",13.2758,14.4477,14.1683,14.6602,14.0132,14.5231,13.37,14.3543,13.8332,13.7207,14.4749,13.6527,14.7211,14.1775,13.9099
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",8.09777,8.16204,9.40072,9.38484,9.39085,9.38932,9.37888,9.39809,9.38112,9.383,9.38517,9.43113,9.39575,9.41606,9.37857
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",15.4934,15.4002,15.6917
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",3.78883,3.92449,3.92139
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",4.58213,4.94237,5.58132,5.57699,5.56428,5.51922,5.56307,5.63131,5.55031,5.63234,5.56118,5.60657,5.53921,5.52724,5.60366
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",6782.32,6807.21,6783.75
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",3600.53,3601.95,3606.68
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",6787.77,6792.8,6797.56
"B",
"C",
"oneDNN 2.6 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",3587.45,3600.77,3604.63
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"A",3.97863,3.98455,3.98192
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",6800.45,6802.94,6802.57
"B",
"C",
"oneDNN 2.6 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",3607.49,3618.27,3612.49
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"A",2.27473,2.24695,2.25945
"B",
"C",
"oneDNN 2.6 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"A",
"B",
"C",
"perf-bench - Benchmark: Epoll Wait",
Higher Results Are Better
"A",117296,106022,111518,112284,100373,102275,117064,105296,115446,115323,111486,113498,104900,105039,102665
"B",
"C",
"perf-bench - Benchmark: Futex Hash",
Higher Results Are Better
"A",3708366,3536351,3526162,3514568,3511830
"B",
"C",
"perf-bench - Benchmark: Memcpy 1MB",
Higher Results Are Better
"A",26.904705,26.796205,26.808953
"B",
"C",
"perf-bench - Benchmark: Memset 1MB",
Higher Results Are Better
"A",43.458482,42.754468,43.062507
"B",
"C",
"perf-bench - Benchmark: Sched Pipe",
Higher Results Are Better
"A",163535,163588,161950
"B",
"C",
"perf-bench - Benchmark: Futex Lock-Pi",
Higher Results Are Better
"A",843,843,843
"B",
"C",
"perf-bench - Benchmark: Syscall Basic",
Higher Results Are Better
"A",14207489,14155069,14177467
"B",
"C",