xe sep Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 10000000 Ops per sec > Higher Is Better a . 7415 |===================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 10000000 Ops per sec > Higher Is Better a . 8165 |===================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 10000000 Ops per sec > Higher Is Better a . 139544 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 10000000 Ops per sec > Higher Is Better a . 281627 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 10000000 Ops per sec > Higher Is Better a . 14378 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 1000 - Files: 10000000 Ops per sec > Higher Is Better a . 13861 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 500 - Files: 10000000 Ops per sec > Higher Is Better a . 14031 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 10000000 Ops per sec > Higher Is Better a . 17707 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 10000000 Ops per sec > Higher Is Better a . 16255 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 1000 - Files: 10000000 Ops per sec > Higher Is Better a . 28523 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 500 - Files: 10000000 Ops per sec > Higher Is Better a . 29759 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 10000000 Ops per sec > Higher Is Better a . 27533 |==================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 10000000 Ops per sec > Higher Is Better a . 148896 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 10000000 Ops per sec > Higher Is Better a . 7584 |===================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 1000 - Files: 10000000 Ops per sec > Higher Is Better a . 85608 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 10000000 Ops per sec > Higher Is Better a . 369563 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 1000 - Files: 10000000 Ops per sec > Higher Is Better a . 212938 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 500 - Files: 10000000 Ops per sec > Higher Is Better a . 92728 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 500 - Files: 10000000 Ops per sec > Higher Is Better a . 238362 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 10000000 Ops per sec > Higher Is Better a . 131063 |=================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 1099.63 |================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 10000000 Ops per sec > Higher Is Better a . 388999 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 1000 - Files: 10000000 Ops per sec > Higher Is Better a . 11290 |==================================================================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a . 883.38 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 500 - Files: 10000000 Ops per sec > Higher Is Better a . 12673 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 10000000 Ops per sec > Higher Is Better a . 13780 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 10000000 Ops per sec > Higher Is Better a . 13893 |==================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 214594 |=================================================================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 419.55 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 7647 |===================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 8260 |===================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 681.88 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 43462222 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 167.24 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 46040704 |================================================================= Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 911577 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 1848429 |================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 240.46 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 14703 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 1000 - Files: 1000000 Ops per sec > Higher Is Better a . 14964 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 18327 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 500 - Files: 1000000 Ops per sec > Higher Is Better a . 15852 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 408.49 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 46287475 |================================================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 538.32 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 46213031 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 97.78 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 48785357 |================================================================= Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 16595 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 155.14 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 48953954 |================================================================= Apache Hadoop 3.3.6 Operation: Delete - Threads: 1000 - Files: 1000000 Ops per sec > Higher Is Better a . 31087 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 500 - Files: 1000000 Ops per sec > Higher Is Better a . 32818 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 7729 |===================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 28776 |==================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 1000 - Files: 1000000 Ops per sec > Higher Is Better a . 118793 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 1000 - Files: 1000000 Ops per sec > Higher Is Better a . 1984127 |================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 352.04 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 25.56 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 1953125 |================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 714796 |=================================================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 153.63 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 500 - Files: 1000000 Ops per sec > Higher Is Better a . 1821494 |================================================================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a . 145.33 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.09 |===================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 500 - Files: 1000000 Ops per sec > Higher Is Better a . 718907 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 4.26 |===================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.244 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 1025037 |================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.123 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 890220 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.504 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 991251 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 38.72 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 12914 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 74.79 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 13371 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 20.68 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 12092 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.828 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 966601 |=================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 59.66 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 13409 |==================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 508130 |=================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 3212.98 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 311 |====================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2437.06 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 328 |====================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 93.02 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 50068226 |================================================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 321.51 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 48869962 |================================================================= PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1361.86 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 367 |====================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 536.19 |=================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 466 |====================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.463 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 1079978 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.982 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 1018102 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.768 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 1042313 |================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.221 |==================================================================== PostgreSQL 16 Scaling Factor: 1 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 1130515 |================================================================== libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a . 130.41 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 1886792 |================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 157879 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 1000 - Files: 1000000 Ops per sec > Higher Is Better a . 11949 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 500 - Files: 1000000 Ops per sec > Higher Is Better a . 13075 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 165.03 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 43848942 |================================================================= Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 14345 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 14680 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 42.22 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 44147738 |================================================================= Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 145.08 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 47975695 |================================================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 192.61 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 34598820 |================================================================= AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.23 |===================================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 82.46 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 8.1 |====================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 50.24 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 36356156 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 111.79 |=================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 2661544 |================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 111.49 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 38631090 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 27.99 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 2704379 |================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better a . 132.9 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better a . 2051296 |================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 183.29 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 34330554 |================================================================= Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 7708 |===================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 10.9 |===================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 8.111 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 8280 |===================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2397457.03 |=============================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 23.84 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 1976707 |================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 88.45 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 2038765 |================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2269215.26 |=============================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 37.21 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 2009740 |================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 4.89 |===================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 57.07 |==================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 13.77 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 9.96 |===================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 21.72 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 11.74 |==================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 5.8 |====================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 6.39 |===================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 34.17 |==================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 10.16 |==================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.62 |===================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 5.28 |===================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 3.56 |===================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 4.36 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 4.02 |===================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.01 |===================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 11.84 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 76.44 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 937338 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better a . 120.2 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better a . 1427558 |================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 153.43 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 25618265 |================================================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 20.06 |==================================================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 928645 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 82.81 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 21221162 |================================================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 32.98 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 1405614 |================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2378150.45 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2338023.63 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 6124151.75 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 6143001.91 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 6098422.19 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2431342.48 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 5179817.56 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 6163567.35 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 6221259.54 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2386384.64 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 5167381.39 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 5105989.97 |=============================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 29.75 |==================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 617799 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 59.97 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 150.02 |=================================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 6215410.58 |=============================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better a . 112.43 |=================================================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better a . 625936 |=================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a . 64.90 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 37.47 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 240.03 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 641026 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 970874 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 71.7 |===================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 1000001 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.581 |==================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 134.95 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 12144605 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 16.59 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 541.74 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 64.07 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 276746 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 115.49 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 343992 |=================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better a . 68.56 |==================================================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better a . 653641 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 121.89 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 73.83 |==================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better a . 124.08 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better a . 515961 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 520.89 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 17.27 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 494.78 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 18.19 |==================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better a . 116.23 |=================================================================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better a . 139990 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 15736 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 18815 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 1000 - Files: 100000 Ops per sec > Higher Is Better a . 14586 |==================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 11.04 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 500 - Files: 100000 Ops per sec > Higher Is Better a . 17944 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 394.76 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.80 |==================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 20521 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 1000 - Files: 100000 Ops per sec > Higher Is Better a . 29682 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 7554 |===================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 591716 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 29197 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 694444 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 500 - Files: 100000 Ops per sec > Higher Is Better a . 47596 |==================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 1000 - Files: 100000 Ops per sec > Higher Is Better a . 769231 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 500 - Files: 100000 Ops per sec > Higher Is Better a . 1098901 |================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 500 - Files: 100000 Ops per sec > Higher Is Better a . 529101 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 1000 - Files: 100000 Ops per sec > Higher Is Better a . 543478 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 787402 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 578035 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 37.92 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 237.19 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 500 - Files: 100000 Ops per sec > Higher Is Better a . 13759 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 168.07 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 53.54 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 1000 - Files: 100000 Ops per sec > Higher Is Better a . 13780 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 14349 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 15401 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 85.65 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 105.05 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 87.52 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 102.80 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 34.65 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 259.54 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 34.58 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 260.10 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 5.8049 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 1545.19 |================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 23.38 |==================================================================== Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 245079.88 |================================================================ Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 425.44 |=================================================================== Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better a . 1695.94 |================================================================== Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 27713750.25 |============================================================== Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 461.77 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 20.18 |==================================================================== Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 273.71 |=================================================================== Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 1947.28 |================================================================== AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.67 |===================================================================== Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 2599516.29 |=============================================================== Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 101403.4 |================================================================= Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 329594.28 |================================================================ Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 378.23 |=================================================================== Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 10886.67 |================================================================= Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 139787.4 |================================================================= Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 38877.14 |================================================================= Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 5542.4 |=================================================================== Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 1430.9 |=================================================================== Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 12252.73 |================================================================= Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better a . 3943.71 |================================================================== Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 112.78 |=================================================================== Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better a . 55491.95 |================================================================= Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better a . 3140132.98 |=============================================================== Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 6760452.84 |=============================================================== Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 17443689.74 |============================================================== Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 739258.6 |================================================================= Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 11705.93 |================================================================= Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 18322.87 |================================================================= Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 182257.55 |================================================================ Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 1242160.05 |=============================================================== Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 38227021.82 |============================================================== Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 41250.42 |================================================================= Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 31071.15 |================================================================= Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 11003661.44 |============================================================== Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better a . 2364530.18 |=============================================================== Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 7317181.49 |=============================================================== Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 429.61 |=================================================================== Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 2736448.18 |=============================================================== Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 70075.88 |================================================================= Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better a . 2636992.17 |=============================================================== Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better a . 8793037.87 |=============================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 6.488 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 28.59 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 30.73 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 35.7 |===================================================================== AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 35.82 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 36.02 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 40.15 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 44.47 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 9.601 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 72.51 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 87.09 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 80.75 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 83.78 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 85.46 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 94.88 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 87.22 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 100 - Set To Get Ratio: 1:10 Dragonflydb 1.6.2 Clients Per Thread: 100 - Set To Get Ratio: 1:5 Dragonflydb 1.6.2 Clients Per Thread: 100 - Set To Get Ratio: 1:100 Dragonflydb 1.6.2 Clients Per Thread: 60 - Set To Get Ratio: 1:100 Dragonflydb 1.6.2 Clients Per Thread: 60 - Set To Get Ratio: 1:5 Dragonflydb 1.6.2 Clients Per Thread: 60 - Set To Get Ratio: 1:10 libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 5.904 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a . 5.813 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 168.49 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 183.13 |===================================================================