Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 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 2306075-NE-DDSA3056816
ddsa,
"Intel Open Image Denoise 2.0 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only",
Higher Results Are Better
"a",0.049494904499582
"b",0.04905519690756
"c",0.049055918841888
"Intel Open Image Denoise 2.0 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"a",0.10228065402341
"b",0.1027037797045
"c",0.1026617101593
"Intel Open Image Denoise 2.0 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"a",0.10668066316968
"b",0.10307238154922
"c",0.10295204699555
"Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"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",
"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",
"Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"dav1d 1.2.1 - Video Input: Summer Nature 4K",
Higher Results Are Better
"a",
"b",
"c",
"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",
"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",
"Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"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",
"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",
"Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"dav1d 1.2.1 - Video Input: Chimera 1080p 10-bit",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",
"b",
"c",
"Neural Magic DeepSparse 1.5 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",
"b",
"c",
"dav1d 1.2.1 - Video Input: Chimera 1080p",
Higher Results Are Better
"a",
"b",
"c",
"dav1d 1.2.1 - Video Input: Summer Nature 1080p",
Higher Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Sequential Fill",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Sequential Fill",
Higher Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Random Delete",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Fill Sync",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Fill Sync",
Higher Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Seek Random",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Hot Read",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Random Read",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Random Fill",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Random Fill",
Higher Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Overwrite",
Lower Results Are Better
"a",
"b",
"c",
"LevelDB 1.23 - Benchmark: Overwrite",
Higher Results Are Better
"a",
"b",
"c",