AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 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 2403218-NE-DDDDX513530
ddddx,
"JPEG-XL libjxl 0.10.1 - Input: PNG - Quality: 80",
Higher Results Are Better
"a",
"b",
"c",40.237,40.153,39.323
"d",
"JPEG-XL libjxl 0.10.1 - Input: PNG - Quality: 90",
Higher Results Are Better
"a",
"b",
"c",36.638,39.386,36.921,39.762,39.515,38.432,39.698,37.547,39.766,37.93,38.245,38.444,39.473,38.196,37.711
"d",
"JPEG-XL libjxl 0.10.1 - Input: JPEG - Quality: 80",
Higher Results Are Better
"a",
"b",
"c",42.705,42.635,41.72
"d",
"JPEG-XL libjxl 0.10.1 - Input: JPEG - Quality: 90",
Higher Results Are Better
"a",
"b",
"c",42.941,38.724,41.134,43.416,40.708,41.077,39.276,41.61,39.731,38.689,41.503,39.288,39.775,42.809,40.733
"d",
"JPEG-XL libjxl 0.10.1 - Input: PNG - Quality: 100",
Higher Results Are Better
"a",
"b",
"c",27.486,27.476,27.498
"d",
"JPEG-XL libjxl 0.10.1 - Input: JPEG - Quality: 100",
Higher Results Are Better
"a",
"b",
"c",27.359,27.264,27.341
"d",
"JPEG-XL Decoding libjxl 0.10.1 - CPU Threads: 1",
Higher Results Are Better
"a",
"b",
"c",62.867,63.27,62.978
"d",
"JPEG-XL Decoding libjxl 0.10.1 - CPU Threads: All",
Higher Results Are Better
"a",
"b",
"c",469.762,468.166,472.55
"d",
"srsRAN Project 23.10.1-20240219 - Test: PDSCH Processor Benchmark, Throughput Total",
Higher Results Are Better
"a",
"b",
"c",11669.4,11755.8,11745.2
"d",
"srsRAN Project 23.10.1-20240219 - Test: PUSCH Processor Benchmark, Throughput Total",
Higher Results Are Better
"a",
"b",
"c",1889.2,1883.8,1887.8
"d",
"srsRAN Project 23.10.1-20240219 - Test: PDSCH Processor Benchmark, Throughput Thread",
Higher Results Are Better
"a",
"b",
"c",608.3,602.4,605.9
"d",
"srsRAN Project 23.10.1-20240219 - Test: PUSCH Processor Benchmark, Throughput Thread",
Higher Results Are Better
"a",
"b",
"c",179.4,179.2,177.2
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 4 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",6.703,6.71,6.719
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 8 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",61.976,62.776,62.741
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 12 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",148.261,150.487,151.651
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 13 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",147.947,151.184,152.436
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",19.244,19.12,19.146
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",132.383,134.699,132.727
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",485.161,499.731,478.083
"d",
"SVT-AV1 2.0 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",603.319,615.892,599.868
"d",
"VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Fast",
Higher Results Are Better
"a",
"b",
"c",7.048,7.126,7.023
"d",
"VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Faster",
Higher Results Are Better
"a",
"b",
"c",14.748,14.756,14.828
"d",
"VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Fast",
Higher Results Are Better
"a",
"b",
"c",19.485,19.409,19.487
"d",
"VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Faster",
Higher Results Are Better
"a",
"b",
"c",41.02,41.113,40.612
"d",
"OSPRay 3.1 - Benchmark: particle_volume/ao/real_time",
Higher Results Are Better
"a",
"b",
"c",10.3028,10.2785,10.2599
"d",
"OSPRay 3.1 - Benchmark: particle_volume/scivis/real_time",
Higher Results Are Better
"a",
"b",
"c",10.151,10.1638,10.129
"d",
"OSPRay 3.1 - Benchmark: particle_volume/pathtracer/real_time",
Higher Results Are Better
"a",
"b",
"c",155.826,155.453,156.22
"d",
"OSPRay 3.1 - Benchmark: gravity_spheres_volume/dim_512/ao/real_time",
Higher Results Are Better
"a",
"b",
"c",4.87369,4.90746,4.87708
"d",
"OSPRay 3.1 - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time",
Higher Results Are Better
"a",
"b",
"c",4.6007,4.57349,4.60379
"d",
"OSPRay 3.1 - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time",
Higher Results Are Better
"a",
"b",
"c",7.42889,7.44152,7.44423
"d",
"Stockfish 16.1 - Chess Benchmark",
Higher Results Are Better
"a",
"b",
"c",62265567,51706657,51419953,51339825,53862932,51376233,51532887,51266277,54805546,57923915,56693099,54333813,64934356,60266106,54836426
"d",
"Timed Linux Kernel Compilation 6.8 - Build: defconfig",
Lower Results Are Better
"a",
"b",
"c",53.985,52.229,52.222
"d",
"Timed Linux Kernel Compilation 6.8 - Build: allmodconfig",
Lower Results Are Better
"a",
"b",
"c",598.125,594.941,596.452
"d",
"Parallel BZIP2 Compression 1.1.13 - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression",
Lower Results Are Better
"a",
"b",
"c",3.37029,3.204391,3.370669,3.449667,3.00434,3.394207,3.228788,3.374199,3.10044,3.350027,3.104584,3.46938
"d",
"Primesieve 12.1 - Length: 1e12",
Lower Results Are Better
"a",
"b",
"c",6.039,6.222,6.079
"d",
"Primesieve 12.1 - Length: 1e13",
Lower Results Are Better
"a",
"b",
"c",77.11,77.244,77.289
"d",
"oneDNN 3.4 - Harness: IP Shapes 1D - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",1.31619,1.33946,1.32665
"d",
"oneDNN 3.4 - Harness: IP Shapes 3D - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",3.53752,3.52554,3.53664
"d",
"oneDNN 3.4 - Harness: Convolution Batch Shapes Auto - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",2.72373,2.7377,2.73433
"d",
"oneDNN 3.4 - Harness: Deconvolution Batch shapes_1d - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",5.32167,5.35477,5.44458
"d",
"oneDNN 3.4 - Harness: Deconvolution Batch shapes_3d - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",2.34508,2.37092,2.36813
"d",
"oneDNN 3.4 - Harness: Recurrent Neural Network Training - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",1254.9,1257.03,1257.35
"d",
"oneDNN 3.4 - Harness: Recurrent Neural Network Inference - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",636.437,637.299,637.784
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",4542,4537,4527
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",4627,4615,4602
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",5349,5338,5336
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",77381,77821,77330
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",150259,150479,150406
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",78865,79132,78760
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",152368,152490,152672
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",89632,90369,90247
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",175445,175555,176301
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",1137,1140,1137
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",1151,1153,1153
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",1326,1341,1331
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",18254,18152,18282
"d",
"OSPRay Studio 1.0 - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",41291,41190,41087
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",18605,18584,18549
"d",
"OSPRay Studio 1.0 - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",41747,42546,41857
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",21340,21434,21454
"d",
"OSPRay Studio 1.0 - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"a",
"b",
"c",47609,47510,47938
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",26.5427,26.6675,26.6393
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",448.4351,449.1757,449.7453
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",18.431,18.4033,18.3712
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",54.2432,54.3239,54.4204
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",683.9219,684.6675,683.4583
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",17.5263,17.5062,17.5361
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",192.1538,191.9584,194.8187
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",5.2005,5.2061,5.1294
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",306.9192,306.9155,306.9131
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",39.0691,39.0686,39.0614
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",155.1995,155.4445,156.3969
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",6.4346,6.4255,6.3863
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",2009.0629,1999.7725,1986.9864
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",5.9587,5.9849,6.0228
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",803.0867,798.444,796.7146
"d",
"Neural Magic DeepSparse 1.7 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",1.2421,1.249,1.2522
"d",
"Neural Magic DeepSparse 1.7 - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",1.8766,1.8679,1.8669
"d",
"Neural Magic DeepSparse 1.7 - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",5877.2659,5905.0708,5907.4433
"d",
"Neural Magic DeepSparse 1.7 - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",6.0435,6.0355,6.0486
"d",
"Neural Magic DeepSparse 1.7 - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",165.4384,165.6593,165.2975
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",307.0016,306.923,306.9145
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",39.0489,39.061,39.0617
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",156.061,155.5345,155.7865
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",6.3998,6.4208,6.4104
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",151.4451,151.6788,150.6437
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",79.1336,79.0332,79.5689
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",98.886,98.7159,98.7983
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",10.1068,10.1244,10.1165
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",222.9582,222.6826,223.3677
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",53.7652,53.8342,53.6666
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",112.0203,111.8679,112.1185
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",8.9173,8.9295,8.9099
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",30.478,30.4676,30.2141
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",393.3428,393.6942,394.4248
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",21.687,21.6733,21.7171
"d",
"Neural Magic DeepSparse 1.7 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",46.0881,46.1172,46.0236
"d",
"Neural Magic DeepSparse 1.7 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",335.6822,333.8522,334.7073
"d",
"Neural Magic DeepSparse 1.7 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",35.6938,35.9121,35.8217
"d",
"Neural Magic DeepSparse 1.7 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",75.8037,76.1027,76.2661
"d",
"Neural Magic DeepSparse 1.7 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",13.1874,13.1351,13.1068
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",26.7352,26.7151,26.6365
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",446.3293,448.5477,447.8716
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",18.4895,18.4996,18.4708
"d",
"Neural Magic DeepSparse 1.7 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",54.071,54.0405,54.1247
"d",
"Google Draco 1.5.6 - Model: Lion",
Lower Results Are Better
"a",
"b",
"c",5342,5394,5354
"d",
"Google Draco 1.5.6 - Model: Church Facade",
Lower Results Are Better
"a",
"b",
"c",7089,7076,7110
"d",
"OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",7.58,7.59,7.61
"d",
"OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",1563.74,1564.13,1561.57
"d",
"OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",69.86,69.88,69.75
"d",
"OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",171.6,171.52,171.89
"d",
"OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",70.06,69.88,70.03
"d",
"OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",171.14,171.52,171.2
"d",
"OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",592.87,593.67,592.33
"d",
"OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",20.21,20.19,20.23
"d",
"OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",16.67,16.67,16.65
"d",
"OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",715.7,716.16,716.61
"d",
"OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",2198.08,2190.56,2205.3
"d",
"OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",5.45,5.47,5.43
"d",
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",169.6,169.72,169.62
"d",
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",70.67,70.63,70.68
"d",
"OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",1105.36,1111.38,1106.17
"d",
"OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",10.84,10.79,10.84
"d",
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",715.14,716.4,714.29
"d",
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",16.76,16.73,16.78
"d",
"OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",3221.38,3232.04,3231.16
"d",
"OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",3.72,3.7,3.7
"d",
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",427.14,426.35,427.57
"d",
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",28.07,28.12,28.04
"d",
"OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",88.1,88.07,87.99
"d",
"OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",136.06,136.13,136.25
"d",
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",1648.78,1646.8,1645.81
"d",
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",14.55,14.56,14.57
"d",
"OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",901.69,892.93,889.08
"d",
"OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",13.29,13.42,13.47
"d",
"OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",1038.29,1047.71,1039.02
"d",
"OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",11.5,11.4,11.49
"d",
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",378.83,379.13,377.05
"d",
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",63.32,63.26,63.61
"d",
"OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",1203.24,1202.66,1200.38
"d",
"OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",9.96,9.96,9.98
"d",
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",24295.82,24373.31,24318.51
"d",
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",0.98,0.98,0.98
"d",
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",423.61,423.5,423.27
"d",
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",56.62,56.63,56.66
"d",
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",44250.9,44340.99,44326.41
"d",
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",0.53,0.53,0.53
"d",
"RocksDB 9.0 - Test: Overwrite",
Higher Results Are Better
"a",
"b",
"c",780439,769618,783354
"d",
"RocksDB 9.0 - Test: Random Fill",
Higher Results Are Better
"a",
"b",
"c",776441,774814,771897
"d",
"RocksDB 9.0 - Test: Random Read",
Higher Results Are Better
"a",
"b",
"c",145332557,145258272,144174460
"d",
"RocksDB 9.0 - Test: Update Random",
Higher Results Are Better
"a",
"b",
"c",663885,659720,659328
"d",
"RocksDB 9.0 - Test: Sequential Fill",
Higher Results Are Better
"a",
"b",
"c",912739,913201,900706
"d",
"RocksDB 9.0 - Test: Random Fill Sync",
Higher Results Are Better
"a",
"b",
"c",46636,46738,46729
"d",
"RocksDB 9.0 - Test: Read While Writing",
Higher Results Are Better
"a",
"b",
"c",5665460,5578344,5534477
"d",
"RocksDB 9.0 - Test: Read Random Write Random",
Higher Results Are Better
"a",
"b",
"c",2879050,2866522,2860470
"d",
"WavPack Audio Encoding 5.7 - WAV To WavPack",
Lower Results Are Better
"a",
"b",
"c",4.435,4.435,4.435,4.434,4.434
"d",
"BRL-CAD 7.38.2 - VGR Performance Metric",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Chaos Group V-RAY 6.0 - Mode: CPU",
Higher Results Are Better
"a",
"b",
"c",44370,44038,44716
"d",