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d

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  Test
  Duration
a
March 17
  1 Hour, 48 Minutes
b
March 17
  1 Hour, 41 Minutes
c
March 17
  1 Hour, 48 Minutes
Intel Core Ultra 7 155H
March 17
  1 Hour, 46 Minutes
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fggg d ,,"a","b","c","Intel Core Ultra 7 155H" Processor,,Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads) Motherboard,,MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS),MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS),MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS),MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) Chipset,,Intel Device 7e7f,Intel Device 7e7f,Intel Device 7e7f,Intel Device 7e7f Memory,,8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026,8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026,8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026,8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026 Disk,,1024GB Micron_2550_MTFDKBA1T0TGE,1024GB Micron_2550_MTFDKBA1T0TGE,1024GB Micron_2550_MTFDKBA1T0TGE,1024GB Micron_2550_MTFDKBA1T0TGE Graphics,,Intel Arc MTL 8GB (2250MHz),Intel Arc MTL 8GB (2250MHz),Intel Arc MTL 8GB (2250MHz),Intel Arc MTL 8GB (2250MHz) Audio,,Intel Meteor Lake-P HD Audio,Intel Meteor Lake-P HD Audio,Intel Meteor Lake-P HD Audio,Intel Meteor Lake-P HD Audio Network,,Intel Device 7e40,Intel Device 7e40,Intel Device 7e40,Intel Device 7e40 OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.8.0-060800rc1daily20240126-generic (x86_64),6.8.0-060800rc1daily20240126-generic (x86_64),6.8.0-060800rc1daily20240126-generic (x86_64),6.8.0-060800rc1daily20240126-generic (x86_64) Desktop,,GNOME Shell 45.2,GNOME Shell 45.2,GNOME Shell 45.2,GNOME Shell 45.2 Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland OpenGL,,4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa),4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa),4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa),4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200 ,,"a","b","c","Intel Core Ultra 7 155H" "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,599.8,614.6,608.2,629 "Selenium - Benchmark: SilverBench - Browser: Firefox (Score)",HIB,1370,1459,1372,1347 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,489.1,462.6,463.4,487 "Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,1082,1084,1072,1054 "Selenium - Benchmark: Speedometer 3.0 - Browser: Firefox (Score)",HIB,14.6,15.4,14.6,15.2 "Selenium - Benchmark: SilverBench - Browser: Google Chrome (Score)",HIB,49974,68068,48962,44225 "Selenium - Benchmark: PSPDFKit WASM - Browser: Google Chrome (Score)",LIB,1041,1023,1098,1028 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,23.2,22.4,22.6,22.3 "Selenium - Benchmark: Speedometer 3.0 - Browser: Google Chrome (Score)",HIB,18.2,19.2,18.6,18 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,280,276.4,280.7,287.5 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,20.9,20.29,21.2,21.91 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,221.42,219.6,220.99,220.12 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,5.5525,5.7537,5.6993,5.7059 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1224.52,1190.1515,1217.1789,1218.9412 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,5.6812,5.6702,5.5998,5.6851 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,175.9984,176.3418,178.5596,175.8798 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,202.1139,201.7476,198.9342,198.8137 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.566,34.6216,35.1325,35.1396 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,100.7221,99.305,94.0627,98.3373 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,9.9143,10.0563,10.6166,10.1554 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,74.7832,76.9425,74.7778,74.9318 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,93.5642,90.8958,93.4946,93.2036 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,50.0414,53.6917,51.2776,52.1316 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.9703,18.612,19.4889,19.1685 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,566.5714,574.6701,557.739,571.9535 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,12.3239,12.1523,12.524,12.2097 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,316.5831,325.4391,311.4965,308.0782 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,3.143,3.0565,3.1954,3.2294 "Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.8856,2.9188,2.8684,3.0156 "Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,2353.9928,2313.3715,2364.778,2249.4924 "Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.9943,7.986,7.9907,7.9919 "Neural Magic DeepSparse - Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream (ms/batch)",LIB,125.0509,125.1786,125.1081,125.0865 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,78.0041,75.3695,74.664,74.3398 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,89.4874,92.6519,93.6256,94.0979 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,53.893,52.5759,51.5251,52.0291 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.5416,19.0076,19.3953,19.2051 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,36.2569,36.5825,36.6946,36.6392 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,192.2847,190.558,190.0904,190.2256 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,28.7886,30.3345,29.9021,30.3372 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,34.7133,32.9456,33.4221,32.9409 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,54.0806,55.1778,54.2522,53.4604 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,128.9833,126.6007,128.6802,130.4653 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,39.669,39.9828,39.1848,38.8108 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,25.1971,24.9998,25.5085,25.7552 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,7.0047,6.7585,6.7557,6.6736 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,983.938,1016.0045,1020.2272,1030.8408 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,6.4397,6.3497,6.2871,6.3123 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,155.2639,157.4653,159.0351,158.3979 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,95.9326,95.9642,94.9722,92.5958 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,72.8034,72.7549,73.5534,75.391 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,44.1331,42.681,40.9163,40.4041 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,22.6399,23.4112,24.4207,24.7316 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,5.5873,5.5932,5.5129,5.4819 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1234.8017,1235.5842,1242.9553,1243.6077 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,5.6903,5.6314,5.5888,5.584 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,175.7184,177.5584,178.9118,179.0672 "Primesieve - Length: 1e12 (sec)",LIB,24.848,24.761,25.104,25.039 "Primesieve - Length: 1e13 (sec)",LIB,361.144,349.939,351.481,353.136 "Stockfish - Chess Benchmark (Nodes/s)",HIB,10417995,10579637,12001097,10327383 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,7.669184,7.290079,7.602462,7.399834 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,143.5,139.052,141.985,142.4 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,2198.954,2018.834,2069.486,2111.002 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.351,3.375,3.372,3.344 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,25.796,25.902,25.944,25.755 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,85.012,64.854,79.674,62.424 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,84.385,64.166,84.845,78.957 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,12.038,12.281,12.191,11.921 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,86.334,85.862,85.49,85.726 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,355.611,355.158,356.155,359.211 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,434.212,433.457,425.855,436.602