Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 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 2310228-NE-EXTRATEST37

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extra tests2, "BRL-CAD 7.36 - VGR Performance Metric", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "nekRS 23.0 - Input: TurboPipe Periodic", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SPECFEM3D 4.0 - Model: Water-layered Halfspace", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "nekRS 23.0 - Input: Kershaw", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SPECFEM3D 4.0 - Model: Tomographic Model", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "SPECFEM3D 4.0 - Model: Homogeneous Halfspace", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "SPECFEM3D 4.0 - Model: Mount St. Helens", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "SPECFEM3D 4.0 - Model: Layered Halfspace", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: Bumper Beam", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: Chrysler Neon 1M", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Remhos 1.0 - Test: Sample Remap Example", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: Cell Phone Drop Test", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: Bird Strike on Windshield", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: Rubber O-Ring Seal Installation", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenRadioss 2023.09.15 - Model: INIVOL and Fluid Structure Interaction Drop Container", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_point_select - Threads: 1", Higher Results Are Better "a",4331.2 "b",4405.07 "c",4471.47 "d",5897.64 "e",5976.42 "f",5954.47 "g", "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_point_select - Threads: 128", Higher Results Are Better "a",159241.94 "b",159728.16 "c",149961.52 "d",129491.86 "e",129903.65 "f",130389.07 "g", "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_update_non_index - Threads: 64", Higher Results Are Better "a",41281.2 "b",39758.58 "c",39106.41 "d",34224.02 "e",33881.16 "f",34469.51 "g",34107.01 "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_update_non_index - Threads: 16", Higher Results Are Better "a",18094.68 "b",18068.44 "c", "d",18562.74 "e",18556.71 "f", "g",18735.04 "TiDB Community Server 7.3 - Test: oltp_read_write - Threads: 32", Higher Results Are Better "a",58973.58 "b",61520.48 "c",59630.12 "d",46977.02 "e",46737.07 "f",47140.93 "g",46993.37 "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_update_index - Threads: 128", Higher Results Are Better "a",27087.2 "b",27464.48 "c",26545.69 "d", "e",24611.42 "f",24830.35 "g",24574.23 "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_read_write - Threads: 64", Higher Results Are Better "a",79090.05 "b",80182.55 "c",78469.06 "d",55334.41 "e",53893.02 "f",54956.04 "g",55300.62 "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_update_index - Threads: 32", Higher Results Are Better "a",18360.77 "b",17816.81 "c",17565.01 "d",17612.21 "e",17117.07 "f", "g",17134.83 "TiDB Community Server 7.3 - Test: oltp_update_index - Threads: 64", Higher Results Are Better "a", "b",24371.44 "c",23324.34 "d",21107.51 "e",21271.09 "f",21067.34 "g", "TiDB Community Server 7.3 - Test: oltp_point_select - Threads: 64", Higher Results Are Better "a",127567.29 "b",130802.04 "c", "d",115674.85 "e",118656.88 "f",119091.63 "g",118548.91 "TiDB Community Server 7.3 - Test: oltp_update_index - Threads: 16", Higher Results Are Better "a",12557.8 "b", "c",12681.23 "d",12622.12 "e",12566.86 "f",12691.62 "g",12626.68 "TiDB Community Server 7.3 - Test: oltp_point_select - Threads: 32", Higher Results Are Better "a",104627.12 "b",106179.78 "c", "d",98148.55 "e",96907.41 "f",97368.31 "g",96839.9 "TiDB Community Server 7.3 - Test: oltp_point_select - Threads: 16", Higher Results Are Better "a", "b",67514.68 "c",65405.64 "d", "e",70249.75 "f",70104.59 "g",69922.95 "TiDB Community Server 7.3 - Test: oltp_read_write - Threads: 128", Higher Results Are Better "a",85756.86 "b",89098.86 "c", "d",59727.05 "e",60145.02 "f",60309.59 "g",59944.18 "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "TiDB Community Server 7.3 - Test: oltp_update_non_index - Threads: 1", Higher Results Are Better "a",1328.03 "b",1311.51 "c",1381.11 "d",1692.99 "e",1708.34 "f",1696.67 "g",1705.19 "TiDB Community Server 7.3 - Test: oltp_read_write - Threads: 1", Higher Results Are Better "a",2540.08 "b",2509.8 "c",2484.7 "d", "e",3209.47 "f",3218.1 "g",3194.5 "TiDB Community Server 7.3 - Test: oltp_update_non_index - Threads: 32", Higher Results Are Better "a",28734.98 "b",28914.38 "c", "d",26273.1 "e",26285.32 "f",26694.81 "g", "TiDB Community Server 7.3 - Test: oltp_read_write - Threads: 16", Higher Results Are Better "a",38330.94 "b",36950.07 "c",37367.75 "d",36480.43 "e",36783.68 "f",36125.09 "g",36088.43 "TiDB Community Server 7.3 - Test: oltp_update_non_index - Threads: 128", Higher Results Are Better "a",51104.82 "b", "c",52864.92 "d", "e",42138.26 "f",41423.67 "g",41694.67 "TiDB Community Server 7.3 - Test: oltp_update_index - Threads: 1", Higher Results Are Better "a",1211.83 "b", "c",1189.2 "d",1478.7 "e",1490.2 "f",1483.44 "g",1481.41 "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Detection FP32 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Detection FP32 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Vehicle Detection FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Vehicle Detection FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection Retail FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection Retail FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Weld Porosity Detection FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Weld Porosity Detection FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Handwritten English Recognition FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Handwritten English Recognition FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Kripke 1.2.6 - ", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Timed Linux Kernel Compilation 6.1 - Build: defconfig", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Timed Linux Kernel Compilation 6.1 - Build: allmodconfig", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 12 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 13 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "SVT-AV1 1.7 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Blender 3.6 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Blender 3.6 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Blender 3.6 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Blender 3.6 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Blender 3.6 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.1 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "d", "e", "f", "g", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "d", "e", "f", "g", "Intel Open Image Denoise 2.0 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",1.8284109463307 "b",1.826050435513 "c",1.8284978707142 "d",0.71874191415347 "e",0.71861795395096 "f",0.71902615098111 "g",0.71876774457869 "Intel Open Image Denoise 2.0 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",1.8379278466286 "b",1.8360886904281 "c",1.8222537269644 "d",0.72009274794594 "e",0.71996313788734 "f",0.72023796662417 "g",0.72035729721942 "Intel Open Image Denoise 2.0 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", Higher Results Are Better "a",0.86094083614574 "b",0.86244070720138 "c",0.86554607301747 "d",0.34088623603645 "e",0.34102922620469 "f",0.34100015345007 "g",0.34096759784918 "Intel Open Image Denoise 2.1 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "d",0.71919162860944 "e",0.71905717223577 "f",0.7190830253261 "g",0.71935200771145 "Intel Open Image Denoise 2.1 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "d",0.72044033313161 "e",0.72035210811044 "f",0.72065320006054 "g",0.72045071396666 "Intel Open Image Denoise 2.1 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", Higher Results Are Better "d",0.34111763782858 "e",0.34094783498125 "f",0.34104434599631 "g",0.34107691625539 "OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU Scalar", Higher Results Are Better "d", "e", "f", "g", "OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU ISPC", Higher Results Are Better "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: particle_volume/ao/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: particle_volume/scivis/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: particle_volume/pathtracer/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/ao/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240", Lower Results Are Better "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 1 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 16 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200", Lower Results Are Better "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 16 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 2 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 32 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 32 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 4 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 64 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 64 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 8 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400", Lower Results Are Better "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 96 - Buffer Length: 256 - Filter Length: 32", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 96 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 16 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 32 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 64 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Liquid-DSP 1.6 - Threads: 96 - Buffer Length: 256 - Filter Length: 512", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g", "Apache Hadoop 3.3.6 - Operation: Open - Threads: 50 - Files: 100000", Higher Results Are Better "a",460829.49308756 "b",469483.56807512 "c",401606.42570281 "d",578034.68208092 "e",552486.1878453 "f",578034.68208092 "g",546448.08743169 "Apache Hadoop 3.3.6 - Operation: Open - Threads: 100 - Files: 100000", Higher Results Are Better "a",420168.06722689 "b",404858.29959514 "c",403225.80645161 "d",529100.52910053 "e",294985.25073746 "f",523560.20942408 "g",460829.49308756 "Apache Hadoop 3.3.6 - Operation: Open - Threads: 50 - Files: 1000000", Higher Results Are Better "a",1126126.1261261 "b",1020408.1632653 "c",683994.52804378 "d",278318.95352073 "e",251004.01606426 "f",1221001.2210012 "g",654022.23675605 "Apache Hadoop 3.3.6 - Operation: Create - Threads: 50 - Files: 100000", Higher Results Are Better "a",43649.061545177 "b",41288.191577209 "c",43936.731107206 "d",58616.647127784 "e",58616.647127784 "f",58343.057176196 "g",60679.611650485 "Apache Hadoop 3.3.6 - Operation: Delete - Threads: 50 - Files: 100000", Higher Results Are Better "a",91074.681238616 "b",73800.73800738 "c",90579.710144928 "d",101010.1010101 "e",100603.62173038 "f",96993.210475267 "g",103950.1039501 "Apache Hadoop 3.3.6 - Operation: Open - Threads: 100 - Files: 1000000", Higher Results Are Better "a",215331.61068045 "b",173822.35355467 "c",185873.60594796 "d",1248439.4506866 "e",1204819.2771084 "f",1303780.9647979 "g",1107419.7120709 "Apache Hadoop 3.3.6 - Operation: Rename - Threads: 50 - Files: 100000", Higher Results Are Better "a",70521.861777151 "b",73046.018991965 "c",77101.00231303 "d",82372.322899506 "e",82236.842105263 "f",81632.653061224 "g",82236.842105263 "Apache Hadoop 3.3.6 - Operation: Create - Threads: 100 - Files: 100000", Higher Results Are Better "a",40733.197556008 "b",37425.149700599 "c",35075.412136093 "d",57971.014492754 "e",58823.529411765 "f",59382.42280285 "g",58927.519151444 "Apache Hadoop 3.3.6 - Operation: Create - Threads: 50 - Files: 1000000", Higher Results Are Better "a",53665.342921541 "b",52118.621983635 "c",52260.256075255 "d",72134.458630888 "e",70896.845090393 "f",69920.29086841 "g",72706.12185546 "Apache Hadoop 3.3.6 - Operation: Delete - Threads: 100 - Files: 100000", Higher Results Are Better "a",87565.674255692 "b",90826.521344233 "c",73475.385745775 "d",105708.24524313 "e",98039.215686275 "f",99403.578528827 "g",102564.1025641 "Apache Hadoop 3.3.6 - Operation: Delete - Threads: 50 - Files: 1000000", Higher Results Are Better "a",98931.539374753 "b",97314.130011678 "c",90146.939511404 "d",111012.43339254 "e",113327.28921124 "f",111197.59813188 "g",110827.88429569 "Apache Hadoop 3.3.6 - Operation: Rename - Threads: 100 - Files: 100000", Higher Results Are Better "a",75528.700906344 "b",69348.127600555 "c",67159.167226326 "d",82101.806239737 "e",83822.29673093 "f",79491.255961844 "g",80385.852090032 "Apache Hadoop 3.3.6 - Operation: Rename - Threads: 50 - Files: 1000000", Higher Results Are Better "a",73238.611395928 "b",71679.449501828 "c",74638.005672488 "d",83920.778784827 "e",84040.675687033 "f",82501.443775266 "g",84810.448647273 "Apache Hadoop 3.3.6 - Operation: Create - Threads: 100 - Files: 1000000", Higher Results Are Better "a",46144.6172304 "b",44436.544614291 "c",44000.528006336 "d",71296.164266362 "e",70057.447106627 "f",70536.784933343 "g",70921.985815603 "Apache Hadoop 3.3.6 - Operation: Delete - Threads: 100 - Files: 1000000", Higher Results Are Better "a",90114.445345589 "b",86715.227193895 "c",97030.855812148 "d",112612.61261261 "e",113224.63768116 "f",110803.32409972 "g",113895.21640091 "Apache Hadoop 3.3.6 - Operation: Rename - Threads: 100 - Files: 1000000", Higher Results Are Better "a",73078.047354575 "b",72129.255626082 "c",66827.051590484 "d",81208.380704889 "e",84359.709802598 "f",85814.811636488 "g",85763.293310463 "Apache Hadoop 3.3.6 - Operation: File Status - Threads: 50 - Files: 100000", Higher Results Are Better "a",529100.52910053 "b",862068.96551724 "c",657894.73684211 "d",632911.39240506 "e",389105.05836576 "f",709219.85815603 "g",561797.75280899 "Apache Hadoop 3.3.6 - Operation: File Status - Threads: 100 - Files: 100000", Higher Results Are Better "a",515463.91752577 "b",458715.59633028 "c",729927.00729927 "d",591715.97633136 "e",613496.93251534 "f",478468.89952153 "g",487804.87804878 "Apache Hadoop 3.3.6 - Operation: File Status - Threads: 50 - Files: 1000000", Higher Results Are Better "a",2173913.0434783 "b",1941747.5728155 "c",284252.41614554 "d",1818181.8181818 "e",320924.2618742 "f",1795332.1364452 "g",2036659.8778004 "Apache Hadoop 3.3.6 - Operation: File Status - Threads: 100 - Files: 1000000", Higher Results Are Better "a",1886792.4528302 "b",161969.54972465 "c",1893939.3939394 "d",600600.6006006 "e",235626.76720075 "f",1964636.5422397 "g",2049180.3278689 "Apache Cassandra 4.1.3 - Test: Writes", Higher Results Are Better "a", "b", "c", "d", "e", "f", "g",

extra tests2