2990WX database server AMD Ryzen Threadripper 2990WX 32-Core testing with a ASUS ROG ZENITH EXTREME (2201 BIOS) and Gigabyte AMD Radeon RX 570 4GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (2201 BIOS), Chipset: AMD 17h, Memory: 64GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 570 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (2201 BIOS), Chipset: AMD 17h, Memory: 64GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 570 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (2201 BIOS), Chipset: AMD 17h, Memory: 64GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 570 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better A . 90.72 |================================================================== B . 93.30 |==================================================================== C . 92.22 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better A . 98.05 |=================================================================== B . 97.28 |=================================================================== C . 98.97 |==================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better A . 100.65 |=================================================================== B . 94.91 |=============================================================== C . 92.74 |============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2284273.63 |============================================================== B . 2306605.49 |=============================================================== C . 2202427.58 |============================================================ Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2445623.79 |=============================================================== B . 2435332.69 |=============================================================== C . 2353555.66 |============================================================= Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2219427.35 |=============================================================== B . 2158281.14 |============================================================= C . 2110052.81 |============================================================ Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2055617.35 |=============================================================== B . 2003895.31 |============================================================= C . 1870943.40 |========================================================= Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2156719.31 |=============================================================== B . 2146995.17 |=============================================================== C . 2019120.46 |=========================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1955362.42 |=============================================================== B . 1884886.11 |============================================================= C . 1826173.53 |=========================================================== Memcached 1.6.16 Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1037337.08 |=============================================================== B . 1030472.82 |=============================================================== C . 1033081.43 |=============================================================== Memcached 1.6.16 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2570638.28 |=============================================================== B . 2548417.99 |============================================================== C . 2550091.21 |============================================================== Memcached 1.6.16 Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 644155.04 |================================================================ B . 644651.84 |================================================================ C . 642412.30 |================================================================ Redis 7.0.4 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2187935.75 |=============================================================== B . 1825583.12 |===================================================== C . 1919199.25 |======================================================= Redis 7.0.4 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 1499547.00 |============================================================= B . 1549262.50 |=============================================================== C . 1495018.62 |============================================================= Redis 7.0.4 Test: GET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 1556835.75 |=============================================================== B . 1555286.25 |=============================================================== C . 1477262.25 |============================================================ Redis 7.0.4 Test: LPOP - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2213212.50 |=============================================================== B . 1209533.25 |================================== C . 1282074.25 |==================================== Redis 7.0.4 Test: SADD - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 1767994.75 |=============================================================== B . 1774371.88 |=============================================================== C . 1733914.62 |============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 1211496.88 |============================================================== B . 1172986.50 |============================================================ C . 1227980.25 |=============================================================== Redis 7.0.4 Test: GET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 1531502.75 |============================================================== B . 1559618.62 |=============================================================== C . 1543748.50 |============================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 1783326.00 |=============================================================== B . 1009650.00 |==================================== C . 1014114.12 |==================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 1291968.62 |=============================================================== B . 1289713.25 |=============================================================== C . 1264192.25 |============================================================== Redis 7.0.4 Test: SADD - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 1418103.12 |=============================================================== B . 1389522.50 |============================================================== C . 1410900.38 |=============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 1204422.00 |============================================================= B . 1243016.62 |=============================================================== C . 1219728.25 |============================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 983845.88 |============================================================= B . 1017213.56 |=============================================================== C . 1021839.44 |=============================================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 1071761.62 |=============================================================== B . 1058242.38 |============================================================== C . 1075678.38 |=============================================================== Redis 7.0.4 Test: SADD - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 1352444.38 |=============================================================== B . 1363046.62 |=============================================================== C . 1357474.62 |=============================================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 1047211.38 |=============================================================== B . 1050053.62 |=============================================================== C . 1047416.50 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1234130.81 |=============================================================== B . 1145101.23 |========================================================== C . 1157402.32 |=========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 1306572.64 |=============================================================== B . 1267277.51 |============================================================= C . 1285074.64 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1145550.77 |=============================================================== B . 1119616.13 |============================================================== C . 1139123.07 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 1138017.94 |============================================================== B . 1130567.05 |============================================================= C . 1163268.52 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 1292593.92 |============================================================= B . 1327114.31 |=============================================================== C . 1284285.28 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1086550.86 |========================================================== B . 1101519.13 |=========================================================== C . 1172222.37 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 1277634.68 |============================================================= B . 1286421.39 |============================================================= C . 1323703.14 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 1280735.05 |============================================================= B . 1258861.56 |============================================================ C . 1317667.72 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 3.798 |==================================================================== B . 3.701 |================================================================== C . 3.626 |================================================================= Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 6.504 |==================================================================== B . 6.280 |================================================================== C . 6.409 |=================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 37.34 |==================================================================== B . 36.96 |=================================================================== C . 36.77 |=================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 10.088 |=================================================================== B . 10.054 |=================================================================== C . 9.913 |================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 6.811 |==================================================================== B . 6.608 |================================================================== C . 6.760 |=================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 4.864 |==================================================================== B . 4.634 |================================================================ C . 4.889 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 41.78 |================================================================= B . 40.74 |================================================================ C . 43.61 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 31.09 |============================================================ B . 35.12 |==================================================================== C . 31.94 |============================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 14.81 |============================================================ B . 16.89 |==================================================================== C . 15.22 |============================================================= NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 13.76 |============================================================ B . 15.49 |==================================================================== C . 14.80 |================================================================= NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 15.54 |============================================================= B . 16.20 |=============================================================== C . 17.42 |==================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 13.10 |========================================================== B . 15.40 |==================================================================== C . 14.34 |=============================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 18.50 |=========================================================== B . 21.29 |==================================================================== C . 20.35 |================================================================= NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 7.43 |=============================================================== B . 7.85 |=================================================================== C . 8.14 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 31.93 |=========================================================== B . 36.12 |=================================================================== C . 36.73 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 85.61 |================================================================== B . 87.58 |==================================================================== C . 83.51 |================================================================= NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 25.81 |================================================================== B . 25.94 |=================================================================== C . 26.44 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 18.92 |================================================================ B . 19.17 |================================================================ C . 20.24 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 51.63 |==================================================================== B . 46.21 |============================================================= C . 45.73 |============================================================ NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 46.57 |================================================================== B . 48.23 |==================================================================== C . 46.70 |================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 38.39 |========================================================== B . 44.85 |==================================================================== C . 41.12 |============================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 59.22 |============================================================= B . 63.04 |================================================================= C . 65.87 |==================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 233.22 |=================================================================== B . 218.86 |=============================================================== C . 219.73 |=============================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 20.81 |==================================================================== B . 20.10 |================================================================== C . 20.54 |===================================================================