ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo.
To run this test with the Phoronix Test Suite , the basic command is: phoronix-test-suite benchmark onnx .
Test Created 16 January 2021
Last Updated 21 August 2024
Test Type System
Average Install Time 14 Minutes, 49 Seconds
Average Run Time 5 Minutes, 18 Seconds
Test Dependencies Python + Git + C/C++ Compiler Toolchain + CMake
Accolades + Recently Updated Test Profile Public Result Uploads * Reported Installs ** Reported Test Completions ** Test Profile Page Views *** OpenBenchmarking.org Events ONNX Runtime Popularity Statistics pts/onnx 2021.01 2021.03 2021.05 2021.07 2021.09 2021.11 2022.01 2022.03 2022.05 2022.07 2022.09 2022.11 2023.01 2023.03 2023.05 2023.07 2023.09 2023.11 2024.01 2024.03 2024.05 2024.07 5K 10K 15K 20K 25K * Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
ArcFace ResNet-100 8.4% T5 Encoder 8.4% Faster R-CNN R-50-FPN-int8 8.4% yolov4 8.4% ZFNet-512 6.9% super-resolution-10 8.4% bertsquad-12 8.4% GPT-2 8.4% fcn-resnet101-11 8.4% ResNet101_DUC_HDC-12 8.8% CaffeNet 12-int8 8.4% ResNet50 v1-12-int8 8.4% Model Option Popularity OpenBenchmarking.org pts/onnx-1.19.0 [View Source ] Wed, 21 Aug 2024 11:06:46 GMT Update against ONNX Runtime 1.19 upstream.
pts/onnx-1.17.0 [View Source ] Fri, 02 Feb 2024 20:20:26 GMT Update against ONNX Runtime 1.17, update download links.
pts/onnx-1.6.0 [View Source ] Sat, 11 Feb 2023 07:19:48 GMT Update against ONNX Runtime 1.14 upstream.
pts/onnx-1.5.0 [View Source ] Wed, 30 Mar 2022 14:24:29 GMT Add standard/sequential and parallel executor option.
pts/onnx-1.4.0 [View Source ] Sat, 26 Mar 2022 18:00:24 GMT Update against ONNX 1.11 upstream, switch to parallel executor, add some new models too.
pts/onnx-1.3.0 [View Source ] Fri, 03 Dec 2021 19:38:42 GMT Update against upstream ONNX-Runtime 1.10.
pts/onnx-1.2.1 [View Source ] Sat, 30 Oct 2021 05:02:16 GMT Add cmake as necessary external dependency.
pts/onnx-1.2.0 [View Source ] Fri, 29 Oct 2021 17:00:07 GMT Update against ONNX 1.9.1 upstream. Changes based on https://github.com/phoronix-test-suite/phoronix-test-suite/pull/560 while also needing to adjust the XML options for removal of bertsquad. Closes: https://github.com/phoronix-test-suite/phoronix-test-suite/pull/560
pts/onnx-1.1.0 [View Source ] Mon, 23 Aug 2021 19:03:17 GMT Update against ONNX 1.8.2 upstream due to prior version now having build problems on newer distributions.
pts/onnx-1.0.1 [View Source ] Sun, 17 Jan 2021 08:51:00 GMT Increase run time limit to help lower deviation on laptops.
pts/onnx-1.0.0 [View Source ] Sat, 16 Jan 2021 20:09:33 GMT Initial commit of Microsoft ONNX Runtime.
Analyze Test Configuration: pts/onnx-1.19.x - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: yolov4 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.19.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.19.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.19.x - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: yolov4 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.17.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.17.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.17.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: yolov4 - Device: CPU - Executor: Standard (Inferences Per Second) pts/onnx-1.6.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.6.x - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences Per Second) pts/onnx-1.6.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms)) pts/onnx-1.5.x - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: yolov4 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences Per Minute) pts/onnx-1.5.x - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.5.x - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.5.x - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.5.x - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.5.x - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.5.x - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences Per Minute) pts/onnx-1.4.x - Model: yolov4 - Device: CPU (Inferences Per Minute) pts/onnx-1.4.x - Model: bertsquad-12 - Device: CPU (Inferences Per Minute) pts/onnx-1.4.x - Model: fcn-resnet101-11 - Device: CPU (Inferences Per Minute) pts/onnx-1.4.x - Model: GPT-2 - Device: CPU (Inferences Per Minute) pts/onnx-1.4.x - Model: ArcFace ResNet-100 - Device: CPU (Inferences Per Minute) pts/onnx-1.4.x - Model: super-resolution-10 - Device: CPU (Inferences Per Minute) pts/onnx-1.3.x - Model: super-resolution-10 - Device: CPU (Inferences Per Minute) pts/onnx-1.3.x - Model: shufflenet-v2-10 - Device: CPU (Inferences Per Minute) pts/onnx-1.3.x - Model: yolov4 - Device: CPU (Inferences Per Minute) pts/onnx-1.3.x - Model: fcn-resnet101-11 - Device: CPU (Inferences Per Minute) pts/onnx-1.2.x - Model: super-resolution-10 - Device: CPU (Inferences Per Minute) pts/onnx-1.2.x - Model: yolov4 - Device: CPU (Inferences Per Minute) pts/onnx-1.2.x - Model: shufflenet-v2-10 - Device: CPU (Inferences Per Minute) pts/onnx-1.2.x - Model: fcn-resnet101-11 - Device: CPU (Inferences Per Minute) pts/onnx-1.1.x - Model: fcn-resnet101-11 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.1.x - Model: super-resolution-10 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.1.x - Model: yolov4 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.1.x - Model: bertsquad-10 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.1.x - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.0.x - Model: fcn-resnet101-11 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.0.x - Model: super-resolution-10 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.0.x - Model: yolov4 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.0.x - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences Per Minute) pts/onnx-1.0.x - Model: bertsquad-10 - Device: OpenMP CPU (Inferences Per Minute) ONNX Runtime 1.19 Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard OpenBenchmarking.org metrics for this test profile configuration based on 23 public results since 21 August 2024 with the latest data as of 23 August 2024 .
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Component
Percentile Rank
# Compatible Public Results
Inference Time Cost (ms) (Average)
OpenBenchmarking.org Distribution Of Public Results - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard 23 Results Range From 370 To 3501 Inference Time Cost (ms) 370 433 496 559 622 685 748 811 874 937 1000 1063 1126 1189 1252 1315 1378 1441 1504 1567 1630 1693 1756 1819 1882 1945 2008 2071 2134 2197 2260 2323 2386 2449 2512 2575 2638 2701 2764 2827 2890 2953 3016 3079 3142 3205 3268 3331 3394 3457 3520 3 6 9 12 15 Based on OpenBenchmarking.org data, the selected test / test configuration (ONNX Runtime 1.19 - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard ) has an average run-time of 4 minutes . By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
OpenBenchmarking.org Minutes Time Required To Complete Benchmark Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard Run-Time 2 4 6 8 10 Min: 3 / Avg: 3 / Max: 3 Notable Instruction Set Usage Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Instruction Set
Support
Instructions Detected
SSE2 (SSE2)
Used by default on supported hardware.
MOVDQA PUNPCKLQDQ MOVDQU CVTSI2SD DIVSD MOVAPD COMISD UNPCKLPD MULSD CVTTSD2SI ADDSD SUBSD MOVUPD MOVD PUNPCKHQDQ PSUBQ PSHUFD PSRLDQ UCOMISD CVTSS2SD PADDQ ANDPD CVTSD2SS DIVPD MULPD SUBPD PMULUDQ ADDPD SQRTSD CVTPS2PD MINPD MAXPD CVTTPD2DQ CVTDQ2PD CMPLTPD PSHUFLW MAXSD MINSD XORPD MOVLPD SQRTPD CVTTPS2DQ CVTDQ2PS ANDNPD ORPD CVTPD2PS CMPLESD UNPCKHPD CMPLEPD SHUFPD MOVHPD CVTPS2DQ
Used by default on supported hardware.Sandy Bridge (2011).Bulldozer (2011). VBROADCASTSD VINSERTF128 VZEROUPPER VBROADCASTSS VMASKMOVPS VEXTRACTF128 VZEROALL VPERM2F128 VPERMILPS
Used by default on supported hardware.Haswell (2013).Excavator (2016). VPBROADCASTD VPMASKMOVD VEXTRACTI128 VINSERTI128 VPERM2I128 VPERMD VPBROADCASTW VPERMQ VPBROADCASTQ VPMASKMOVQ VPBROADCASTB VPSLLVD VPSRAVD VPSRLVD VPSLLVQ VPSRLVQ VPERMPD VGATHERQPD VPGATHERDQ VPGATHERQQ
AVX Vector Neural Network Instructions (AVX-VNNI)
Used by default on supported hardware.
VPDPBUSDS
Used by default on supported hardware.Haswell (2013).Bulldozer (2011). VFMADD231PD VFMADD213PD VFMADD231PS VFMADD213PS VFMADD132SS VFMADD132PS VFMADD132SD VFMADD213SS VFMADD132PD VFNMADD231PD VFMADD231SS VFNMADD213PS VFNMADD132PS VFNMADD213SS VFNMADD132SS VFNMADD231PS VFNMADD132PD VFNMADD132SD VFMSUB132SS VFMSUB132SD VFMADD231SD VFMADD213SD VFNMADD213PD VFNMADD213SD VFNMADD231SS VFNMADD231SD
The test / benchmark does honor compiler flag changes.
Last automated analysis: 10 May 2021
This test profile binary relies on the shared libraries libonnxruntime.so.1.6.0, libdl.so.2, libpthread.so.0, libc.so.6, libgomp.so.1, libm.so.6 .
Tested CPU Architectures This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
4 Systems - 63 Benchmark Results
AMD Ryzen AI 9 HX 370 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
5 Systems - 63 Benchmark Results
AMD Ryzen 9 9950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
3 Systems - 86 Benchmark Results
Intel Core i7-1185G7 - Dell XPS 13 9310 0DXP1F - Intel Tiger Lake-LP
Ubuntu 24.04 - 6.10.0-061000rc4daily20240621-generic - GNOME Shell 46.0
5 Systems - 60 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.10 - 6.8.0-31-generic - GNOME Shell
5 Systems - 58 Benchmark Results
Intel Core i9-14900K - ASUS PRIME Z790-P WIFI - Intel Raptor Lake-S PCH
Ubuntu 24.04 - 6.10.0-061000rc6daily20240706-generic - GNOME Shell 46.0
1 System - 334 Benchmark Results
Intel Core i3-12100 - ASRock H610M-HDV/M.2 R2.0 - Intel Device 7aa7
Ubuntu 20.04 - 5.15.0-89-generic - GNOME Shell 3.36.9
1 System - 18 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.10 - 6.8.0-31-generic - GNOME Shell
5 Systems - 531 Benchmark Results
AMD EPYC 7702 64-Core - Supermicro Super Server H12SSL-NT v1.02 - AMD Starship
Debian 12 - 6.8.8-2-pve - NVIDIA
Featured Processor Comparison
2 Systems - 413 Benchmark Results
Intel Core i7-1185G7 - Dell XPS 13 9310 0DXP1F - Intel Tiger Lake-LP
Ubuntu 24.04 - 6.10.0-061000rc4daily20240621-generic - GNOME Shell 46.0
1 System - 275 Benchmark Results
Intel Core i5-12500 - ASUS PRIME Z690M-HZ - Intel Alder Lake-S PCH
Debian 12 - 6.1.0-21-amd64 - GCC 12.2.0
1 System - 147 Benchmark Results
Intel Xeon Platinum 8375C - Amazon EC2 m6i.8xlarge - Intel 440FX 82441FX PMC
Ubuntu 22.04 - 6.5.0-1017-aws - 1.3.255
1 System - 147 Benchmark Results
ARMv8 Neoverse-V1 - Amazon EC2 m7g.8xlarge - Amazon Device 0200
Ubuntu 22.04 - 6.5.0-1017-aws - 1.3.255
1 System - 103 Benchmark Results
Intel Xeon Platinum 8375C - Amazon EC2 m6i.8xlarge - Intel 440FX 82441FX PMC
Ubuntu 22.04 - 6.5.0-1017-aws - 1.3.255
1 System - 99 Benchmark Results
Intel Xeon Platinum 8375C - Amazon EC2 m6i.8xlarge - Intel 440FX 82441FX PMC
Ubuntu 22.04 - 6.5.0-1017-aws - 1.3.255
5 Systems - 58 Benchmark Results
Intel Core i9-14900K - ASUS PRIME Z790-P WIFI - Intel Raptor Lake-S PCH
Ubuntu 24.04 - 6.10.0-061000rc6daily20240706-generic - GNOME Shell 46.0
5 Systems - 60 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.10 - 6.8.0-31-generic - GNOME Shell
5 Systems - 63 Benchmark Results
AMD Ryzen 9 9950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
3 Systems - 86 Benchmark Results
Intel Core i7-1185G7 - Dell XPS 13 9310 0DXP1F - Intel Tiger Lake-LP
Ubuntu 24.04 - 6.10.0-061000rc4daily20240621-generic - GNOME Shell 46.0
1 System - 18 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.10 - 6.8.0-31-generic - GNOME Shell
4 Systems - 63 Benchmark Results
AMD Ryzen AI 9 HX 370 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
Compare