new tests feb 2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 6.2.0-rc1-phx (x86_64), Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 6.2.0-rc1-phx (x86_64), Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 6.2.0-rc1-phx (x86_64), Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080 AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.42 |=================================================================== b . 0.42 |=================================================================== c . 0.43 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 10.38 |================================================================= b . 10.94 |==================================================================== c . 10.67 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 48.34 |============================================================ b . 50.79 |=============================================================== c . 55.01 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 18.56 |================================================================== b . 19.15 |==================================================================== c . 18.66 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 47.22 |========================================================== b . 53.27 |================================================================== c . 54.93 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 52.06 |================================================================== b . 52.81 |=================================================================== c . 53.52 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 51.50 |================================================================ b . 54.31 |==================================================================== c . 51.09 |================================================================ AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 1.18 |===================================================================== b . 1.17 |==================================================================== c . 1.17 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 20.73 |==================================================================== b . 19.57 |================================================================ c . 20.20 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 127.45 |=================================================================== b . 92.17 |================================================ c . 115.67 |============================================================= AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 48.86 |==================================================================== b . 46.79 |================================================================= c . 41.33 |========================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 108.92 |======================================================== b . 124.02 |================================================================ c . 129.87 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 115.22 |============================================================ b . 121.56 |=============================================================== c . 128.76 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 131.46 |=============================================================== b . 139.32 |=================================================================== c . 126.75 |============================================================= Embree 4.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 130.99 |=================================================================== b . 130.46 |=================================================================== c . 130.49 |=================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 122.29 |=================================================================== b . 122.73 |=================================================================== c . 122.83 |=================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 99.23 |==================================================================== b . 95.68 |================================================================== c . 95.80 |================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 86.46 |==================================================================== b . 82.97 |================================================================= c . 82.09 |================================================================= Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 99.74 |==================================================================== b . 93.92 |================================================================ c . 95.44 |================================================================= Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 85.10 |=================================================================== b . 83.05 |================================================================= c . 86.95 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 4.171 |=================================================================== b . 4.216 |==================================================================== c . 4.217 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 7.785 |=================================================================== b . 7.936 |==================================================================== c . 7.950 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 9.199 |==================================================================== b . 9.189 |==================================================================== c . 9.159 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 19.48 |==================================================================== b . 19.40 |==================================================================== c . 19.53 |==================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 400.63 |================================================================= b . 414.74 |=================================================================== c . 414.77 |=================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 409.80 |================================================================== b . 416.27 |=================================================================== c . 414.21 |=================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 410.46 |================================================================== b . 413.96 |=================================================================== c . 415.86 |=================================================================== Memcached 1.6.18 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1715028.52 |===================================================== b . 2036178.01 |=============================================================== c . 1920833.99 |=========================================================== Memcached 1.6.18 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 3329591.88 |=============================================================== b . 3250297.65 |============================================================= c . 3154402.40 |============================================================ Memcached 1.6.18 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 2544101.48 |============================================================== b . 2589721.87 |=============================================================== c . 2525635.19 |============================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 2922544 |================================================================== b . 2907436 |================================================================== c . 2806211 |=============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.171 |================================================================= b . 0.172 |================================================================== c . 0.178 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 2990818 |================================================================== b . 2839215 |=============================================================== c . 2784063 |============================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.267 |=============================================================== b . 0.282 |=================================================================== c . 0.287 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 3023662 |================================================================== b . 2878852 |=============================================================== c . 2840003 |============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.331 |================================================================ b . 0.347 |=================================================================== c . 0.352 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 643 |==================================================== b . 866 |====================================================================== c . 621 |================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 778.09 |================================================================= b . 577.60 |================================================ c . 804.51 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 5000 - Mode: Read Only TPS > Higher Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 408 |============================================================== b . 439 |=================================================================== c . 462 |====================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1962.74 |================================================================== b . 1822.51 |============================================================= c . 1733.17 |========================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 369 |========================================================== b . 443 |====================================================================== c . 417 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2713.48 |================================================================== b . 2256.38 |======================================================= c . 2397.17 |========================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 5000 - Mode: Read Write TPS > Higher Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 2882020 |================================================================ b . 2993559 |================================================================== c . 2842685 |=============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.173 |=================================================================== b . 0.167 |================================================================= c . 0.176 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 2966831 |================================================================== b . 2985790 |================================================================== c . 2900704 |================================================================ PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.270 |=================================================================== b . 0.268 |================================================================== c . 0.276 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 3077262 |================================================================== b . 2980639 |================================================================ c . 2903654 |============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.325 |================================================================ b . 0.335 |================================================================== c . 0.344 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 69750 |==================================================================== b . 37511 |===================================== c . 38019 |===================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 7.168 |==================================== b . 13.329 |=================================================================== c . 13.151 |================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 5000 - Mode: Read Only TPS > Higher Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 33875 |==================================================================== b . 28732 |========================================================== c . 30172 |============================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 23.62 |========================================================== b . 27.84 |==================================================================== c . 26.51 |================================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 31028 |==================================================================== b . 25287 |======================================================= c . 25872 |========================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 32.23 |======================================================= b . 39.55 |==================================================================== c . 38.65 |================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 5000 - Mode: Read Write TPS > Higher Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 72.93 |==================================================================== b . 73.04 |==================================================================== c . 73.27 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 867.52 |=================================================================== b . 867.21 |=================================================================== c . 867.26 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 20.53 |=================================================================== b . 20.53 |=================================================================== c . 20.90 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 48.70 |==================================================================== b . 48.69 |==================================================================== c . 47.84 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 919.74 |=================================================================== b . 915.49 |=================================================================== c . 921.90 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 69.48 |==================================================================== b . 69.76 |==================================================================== c . 69.29 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 112.29 |=================================================================== b . 109.98 |================================================================== c . 109.10 |================================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 8.9018 |================================================================= b . 9.0882 |================================================================== c . 9.1614 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 309.82 |=================================================================== b . 309.05 |=================================================================== c . 310.17 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 206.10 |=================================================================== b . 206.28 |=================================================================== c . 205.81 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 42.08 |==================================================================== b . 38.86 |=============================================================== c . 41.26 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 23.75 |=============================================================== b . 25.71 |==================================================================== c . 24.22 |================================================================ Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 404.30 |=================================================================== b . 403.16 |=================================================================== c . 402.86 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 157.69 |=================================================================== b . 158.30 |=================================================================== c . 158.55 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 79.10 |==================================================================== b . 57.45 |================================================= c . 57.87 |================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 12.64 |================================================= b . 17.40 |==================================================================== c . 17.27 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 828.71 |=================================================================== b . 825.01 |=================================================================== c . 827.97 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 77.12 |==================================================================== b . 77.47 |==================================================================== c . 77.17 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 148.03 |=================================================================== b . 147.88 |=================================================================== c . 147.28 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 6.7527 |=================================================================== b . 6.7592 |=================================================================== c . 6.7869 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 611.20 |=================================================================== b . 611.21 |=================================================================== c . 609.45 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 104.47 |=================================================================== b . 104.48 |=================================================================== c . 104.79 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 152.73 |=================================================================== b . 150.46 |================================================================== c . 150.20 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 6.5448 |================================================================== b . 6.6434 |=================================================================== c . 6.6553 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 108.44 |=================================================================== b . 108.65 |=================================================================== c . 108.26 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 586.64 |=================================================================== b . 585.82 |=================================================================== c . 586.36 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 28.99 |==================================================================== b . 28.81 |==================================================================== c . 28.87 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 34.47 |==================================================================== b . 34.68 |==================================================================== c . 34.61 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 308.82 |=================================================================== b . 307.04 |=================================================================== c . 305.86 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 206.49 |================================================================== b . 207.90 |=================================================================== c . 208.22 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 57.68 |==================================================================== b . 57.67 |==================================================================== c . 57.62 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 17.33 |==================================================================== b . 17.33 |==================================================================== c . 17.35 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 73.27 |==================================================================== b . 73.09 |==================================================================== c . 73.19 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 866.60 |=================================================================== b . 867.57 |=================================================================== c . 868.83 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 20.78 |==================================================================== b . 20.48 |=================================================================== c . 20.75 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 48.10 |=================================================================== b . 48.82 |==================================================================== c . 48.17 |=================================================================== RocksDB 7.9.2 Test: Random Fill Op/s > Higher Is Better a . 324824 |=================================================================== b . 326914 |=================================================================== c . 325125 |=================================================================== RocksDB 7.9.2 Test: Random Read Op/s > Higher Is Better a . 490161595 |================================================================ b . 489362655 |================================================================ c . 487197889 |================================================================ RocksDB 7.9.2 Test: Update Random Op/s > Higher Is Better a . 355548 |=================================================================== b . 322635 |============================================================= c . 321956 |============================================================= RocksDB 7.9.2 Test: Sequential Fill Op/s > Higher Is Better a . 312683 |=================================================================== b . 311113 |=================================================================== c . 313140 |=================================================================== RocksDB 7.9.2 Test: Random Fill Sync Op/s > Higher Is Better a . 248033 |======================================================= b . 303632 |=================================================================== c . 289690 |================================================================ RocksDB 7.9.2 Test: Read While Writing Op/s > Higher Is Better a . 16405765 |=========================================================== b . 17477979 |=============================================================== c . 18106083 |================================================================= RocksDB 7.9.2 Test: Read Random Write Random Op/s > Higher Is Better a . 1930699 |=============================================================== b . 1986053 |================================================================= c . 2026415 |==================================================================