new tests, "KeyDB 6.3.2 - Test: HMSET - Parallel Connections: 900", Higher Results Are Better "a",393840.34,365174.06,452480.5,369866.25,395904.75,436007.22,388283.16,393217.78,405413.06,428882.69,396422.69,444452.34 "b", "c", "d", "KeyDB 6.3.2 - Test: HMSET - Parallel Connections: 500", Higher Results Are Better "a",488615.25,533572.38,606148.75,575917.44,519173.06,468691.41,566116.81,523001.62,619786.06,512625.97,521675.62,610739.25,524130.97,507150.84,531835.69 "b", "c", "d", "KeyDB 6.3.2 - Test: HMSET - Parallel Connections: 100", Higher Results Are Better "a",781042.56,842332.25,795608.25,811648.75,804557,815487.75,860970.44,803122.56,796520.81,786509.81,769479.44,850730.81,850962.44,803458.12,795469 "b", "c", "d", "KeyDB 6.3.2 - Test: LPUSH - Parallel Connections: 500", Higher Results Are Better "a",976467.12,971817.31,1033506.25,983767.81,906815.62,923309.88,984000.19,1077818.5,952871,950371.62,968222.94,961168.75,925720.19,1031927.88,946145.38 "b", "c", "d", "KeyDB 6.3.2 - Test: LPUSH - Parallel Connections: 100", Higher Results Are Better "a",1148817.88,1088565.75,1036162.06,1017045.69,1002988.88,1031778.81,1078074.12,1083212.38,1140380.88,1039284.94,998183.31,1052919.75,1138096.62,1055609.5,1280704.88 "b", "c", "d", "KeyDB 6.3.2 - Test: SET - Parallel Connections: 900", Higher Results Are Better "a",1260938.62,1173571.25,1228984.38,1269357.75,1176193.88,1188664.88,1224469.88,1263136.62,1222733.12,1286769.5,1171207,1255366.75,1189881.25,1264414.38,1243781.12 "b", "c", "d", "KeyDB 6.3.2 - Test: SADD - Parallel Connections: 900", Higher Results Are Better "a",1366643,1347817.88,1258748.25,1238881,1329822.62,1236613.75,1322401.38,1342678.38,1360211.12,1316343.62,1322996.38,1408966.62,1285545.25,1272200,1365560.5 "b", "c", "d", "KeyDB 6.3.2 - Test: LPOP - Parallel Connections: 500", Higher Results Are Better "a",1571832.75,1523368.5,1469853.38,1565484.25,1600409.62,1447932.25,1591495,1613111.38,1468127,1523229.25,1598670,1508432.12,1458874.38,1567447.25,1612175.12 "b", "c", "d", "KeyDB 6.3.2 - Test: LPOP - Parallel Connections: 100", Higher Results Are Better "a",1618384.88,1622533.75,1521468,1448771.38,1573118.5,1573712.75,1464514.88,1614830.62,1493607.25,1418117.88,1469162.25,1609114,1622323.12,1607458.62,1564406.62 "b", "c", "d", "KeyDB 6.3.2 - Test: LPOP - Parallel Connections: 900", Higher Results Are Better "a",1711683.88,1629301.38,1544401.5,1532332.12,1439719,1522440.88,1488006.62,1514738.5,1729984,1564455.62,1668613.38,1587452.75,1595608.88,1477323,1578183.25 "b", "c", "d", "KeyDB 6.3.2 - Test: SADD - Parallel Connections: 500", Higher Results Are Better "a",1327140,1399071,1320829.5,1393417.5,1393145.75,1412668.75,1399462.62,1300593,1433445.12,1358105.12,1480516.38,1219125.62 "b", "c", "d", "KeyDB 6.3.2 - Test: GET - Parallel Connections: 500", Higher Results Are Better "a",1443584.62,1484516.5,1537279,1390859.25,1394583.38,1493205.88,1389545,1531675,1525646.12,1605600.25,1596627.88,1534071.75 "b", "c", "d", "KeyDB 6.3.2 - Test: HMSET - Parallel Connections: 50", Higher Results Are Better "a",765872.69,790051.69,755332.69 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",696.8915,691.845,692.5236 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",17.1293,16.9253,17.2384 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",697.0601,695.2565,690.2924 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",17.1692,16.9691,17.0395 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",160.8254,160.6199,160.0073 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",74.5379,74.593,74.8981 "b", "c", "d", "KeyDB 6.3.2 - Test: LPUSH - Parallel Connections: 900", Higher Results Are Better "a",927471.69,912025.94,900560.12 "b", "c", "d", "KeyDB 6.3.2 - Test: SADD - Parallel Connections: 100", Higher Results Are Better "a",1273755.5,1304087,1341669.62,1268874.5,1317349.38 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",532.165,531.3907,530.9167 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",22.4181,22.539,22.4178 "b", "c", "d", "KeyDB 6.3.2 - Test: SET - Parallel Connections: 100", Higher Results Are Better "a",1269067.75,1289790,1272685.62 "b", "c", "d", "KeyDB 6.3.2 - Test: SET - Parallel Connections: 500", Higher Results Are Better "a",1247972.12,1251752.5,1226512.38 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",190.8495,192.2397,191.1286 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",62.6194,62.1798,62.6189 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",58.1206,60.3132,59.6903 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",206.1528,198.7301,200.7746 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",65.9912,65.8705,66.1335 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",15.1527,15.1803,15.1201 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",23.5073,23.6536,23.5638 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",42.5344,42.271,42.4317 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",66.0367,66.0186,65.4859 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",15.1421,15.1464,15.2697 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",81.7832,81.6413,81.5047 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",146.5303,146.9029,147.0753 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",55.656,55.6601,56.0689 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",17.9642,17.9631,17.8321 "b", "c", "d", "KeyDB 6.3.2 - Test: GET - Parallel Connections: 100", Higher Results Are Better "a",1532097.5,1544974.25,1501681.88 "b", "c", "d", "KeyDB 6.3.2 - Test: GET - Parallel Connections: 900", Higher Results Are Better "a",1603335,1543257.62,1543305.25 "b", "c", "d", "KeyDB 6.3.2 - Test: LPUSH - Parallel Connections: 50", Higher Results Are Better "a",1863794,1951067.12,1855425.25,1872939.88 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",10.3251,10.3136,10.2634 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",96.7934,96.906,97.3803 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",22.5733,22.5237,22.4372 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",44.2873,44.3846,44.5557 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",117.848,119.9539,119.1186 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",101.4173,99.885,100.4844 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",11.8265,11.914,11.8731 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",84.5299,83.9109,84.201 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",53.7439,54.8653,54.7457 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",223.0467,218.6081,219.0177 "b", "c", "d", "KeyDB 6.3.2 - Test: SET - Parallel Connections: 50", Higher Results Are Better "a",2015885.25,2111130,2016942.25,2061090.62 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",14.7339,14.8496,14.6013 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",67.8209,67.2975,68.4396 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",7.909,7.9712,7.9725 "b", "c", "d", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",126.364,125.3833,125.3648 "b", "c", "d", "KeyDB 6.3.2 - Test: LPOP - Parallel Connections: 50", Higher Results Are Better "a",2405118.25,2340385.75,2321801.75 "b", "c", "d", "KeyDB 6.3.2 - Test: SADD - Parallel Connections: 50", Higher Results Are Better "a",2250427.5,2258764,2210824.25 "b", "c", "d", "KeyDB 6.3.2 - Test: GET - Parallel Connections: 50", Higher Results Are Better "a",2308402.5,2277074.5,2318894.25 "b", "c", "d",