icelake deep 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. ,,"a","b","c" Processor,,Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads) Motherboard,,Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS) Chipset,,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM Memory,,16GB,16GB,16GB Disk,,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB Graphics,,Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.18.8-051808-generic (x86_64),5.18.8-051808-generic (x86_64),5.18.8-051808-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1 OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0 Vulkan,,1.3.204,1.3.204,1.3.204 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "KeyDB - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,965959.56,919540.25,908611.81 "KeyDB - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,791389.69,800922.62,783883.38 "KeyDB - Test: GET - Parallel Connections: 100 (Reqs/sec)",HIB,909570.5,768804.94,856061.75 "KeyDB - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,889078.56,742060,752604.06 "KeyDB - Test: GET - Parallel Connections: 900 (Reqs/sec)",HIB,865980.81,700074.25,711207.19 "KeyDB - Test: LPOP - Parallel Connections: 50 (Reqs/sec)",HIB,991178.5,649747.25,618965.12 "KeyDB - Test: SADD - Parallel Connections: 50 (Reqs/sec)",HIB,878271.56,768793.12,750593 "KeyDB - Test: SET - Parallel Connections: 100 (Reqs/sec)",HIB,815381.38,696563.19,677947.75 "KeyDB - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,396372.41,641659.12,663182.75 "KeyDB - Test: SET - Parallel Connections: 900 (Reqs/sec)",HIB,703037.06,614001.69,609369.62 "KeyDB - Test: HMSET - Parallel Connections: 50 (Reqs/sec)",HIB,306581.06,333883.12,300563.84 "KeyDB - Test: LPOP - Parallel Connections: 100 (Reqs/sec)",HIB,910150,604353.75,616424 "KeyDB - Test: LPOP - Parallel Connections: 500 (Reqs/sec)",HIB,906109,604763.12,596153.62 "KeyDB - Test: LPOP - Parallel Connections: 900 (Reqs/sec)",HIB,809375.81,682435.5,642269 "KeyDB - Test: LPUSH - Parallel Connections: 50 (Reqs/sec)",HIB,643467.5,618727.69,644712.06 "KeyDB - Test: SADD - Parallel Connections: 100 (Reqs/sec)",HIB,814690.5,758575.69,759612.94 "KeyDB - Test: SADD - Parallel Connections: 500 (Reqs/sec)",HIB,739677.81,716722.56,735434.75 "KeyDB - Test: SADD - Parallel Connections: 900 (Reqs/sec)",HIB,743582.94,696805.88,679338.62 "KeyDB - Test: HMSET - Parallel Connections: 100 (Reqs/sec)",HIB,245915.34,252201.72,248416.36 "KeyDB - Test: HMSET - Parallel Connections: 500 (Reqs/sec)",HIB,241319.73,238656.66,235957.02 "KeyDB - Test: HMSET - Parallel Connections: 900 (Reqs/sec)",HIB,235377.19,234181.08,233903.91 "KeyDB - Test: LPUSH - Parallel Connections: 100 (Reqs/sec)",HIB,605935.75,596281.62,603624.19 "KeyDB - Test: LPUSH - Parallel Connections: 500 (Reqs/sec)",HIB,558752.88,553452.44,560846.19 "KeyDB - Test: LPUSH - Parallel Connections: 900 (Reqs/sec)",HIB,547585.19,535200.12,537871.56 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1.9804,1.9855,1.9956 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1007.5455,1005.8884,1001.2858 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,1.9891,1.9858,1.9861 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,502.7354,503.5758,503.499 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,43.7176,42.468,43.4887 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,45.7066,47.0387,45.9597 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,41.6174,41.4098,41.3882 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,24.0178,24.1386,24.1502 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.7539,10.7429,10.7395 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,185.64,186.0784,186.122 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,10.7315,10.75,10.8242 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,93.1713,93.0114,92.3732 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,13.6817,13.6358,13.5651 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,146.1429,146.6365,147.4004 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.3534,12.3371,12.3143 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,80.9337,81.0418,81.1917 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.3354,34.3542,34.4836 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,58.2053,58.1527,57.9441 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.6523,33.6395,33.6288 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.7036,29.7149,29.7237 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.6457,18.7697,18.8072 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,107.1765,106.4621,106.2527 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,17.1147,17.0586,17.0984 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,58.4197,58.6125,58.4757 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.3781,4.3125,4.391 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,456.7458,463.5304,455.3891 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.4416,4.4172,4.4042 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,225.1197,226.366,227.0317 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.6291,8.6367,8.6032 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,231.3358,231.2106,232.0997 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.9995,8.0057,8.0153 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,124.9982,124.9007,124.7501 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1.9802,1.9823,1.9885 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1007.9012,1007.6702,1004.9938 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,1.9825,1.9836,1.9828 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,504.4064,504.1199,504.3356