1231 nn Intel Xeon E3-1231 v3 testing with a Gigabyte H81M-S1 (FF BIOS) and Sapphire AMD Radeon HD 4550 on Debian 10 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1231 v3 @ 3.80GHz (4 Cores / 8 Threads), Motherboard: Gigabyte H81M-S1 (FF BIOS), Chipset: Intel Xeon E3-1200 v3 DRAM, Memory: 16GB, Disk: 120GB Samsung SSD 850, Graphics: Sapphire AMD Radeon HD 4550, Audio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411 OS: Debian 10, Kernel: 4.19.0-17-amd64 (x86_64), Display Server: X Server 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 2: Processor: Intel Xeon E3-1231 v3 @ 3.80GHz (4 Cores / 8 Threads), Motherboard: Gigabyte H81M-S1 (FF BIOS), Chipset: Intel Xeon E3-1200 v3 DRAM, Memory: 16GB, Disk: 120GB Samsung SSD 850, Graphics: Sapphire AMD Radeon HD 4550, Audio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411 OS: Debian 10, Kernel: 4.19.0-17-amd64 (x86_64), Display Server: X Server 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 3: Processor: Intel Xeon E3-1231 v3 @ 3.80GHz (4 Cores / 8 Threads), Motherboard: Gigabyte H81M-S1 (FF BIOS), Chipset: Intel Xeon E3-1200 v3 DRAM, Memory: 16GB, Disk: 120GB Samsung SSD 850, Graphics: Sapphire AMD Radeon HD 4550, Audio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411 OS: Debian 10, Kernel: 4.19.0-17-amd64 (x86_64), Display Server: X Server 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 Renaissance 0.12 Test: Scala Dotty ms < Lower Is Better 1 . 1208.4 |=================================================================== 2 . 1187.2 |================================================================== 3 . 1189.7 |================================================================== Renaissance 0.12 Test: Apache Spark Bayes ms < Lower Is Better 1 . 3063.1 |============================================================ 2 . 3016.0 |=========================================================== 3 . 3425.7 |=================================================================== Renaissance 0.12 Test: Savina Reactors.IO ms < Lower Is Better 1 . 11642.3 |================================================================== 2 . 11149.0 |=============================================================== 3 . 11500.4 |================================================================= Renaissance 0.12 Test: Apache Spark PageRank ms < Lower Is Better 1 . 4158.5 |============================================================== 2 . 4479.7 |=================================================================== 3 . 4370.4 |================================================================= TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 4071.48 |================================================================== 2 . 4079.51 |================================================================== 3 . 4063.93 |================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 13.86 |=================================================================== 2 . 13.94 |==================================================================== 3 . 14.03 |==================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 38.74 |==================================================================== 2 . 39.02 |==================================================================== 3 . 38.67 |=================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 42.99 |================================================================= 2 . 45.15 |==================================================================== 3 . 43.95 |================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 51.03 |=================================================================== 2 . 52.06 |==================================================================== 3 . 51.55 |=================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 23.40 |================================================================== 2 . 23.77 |=================================================================== 3 . 23.97 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 26.54 |=================================================================== 2 . 27.08 |==================================================================== 3 . 27.09 |==================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 108.52 |=================================================================== 2 . 107.56 |================================================================== 3 . 107.46 |================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 24.55 |=================================================================== 2 . 24.93 |==================================================================== 3 . 25.03 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.31 |=================================================================== 2 . 2.31 |=================================================================== 3 . 2.39 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 11.42 |=================================================================== 2 . 11.51 |=================================================================== 3 . 11.67 |==================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.93 |===================================================================== 2 . 6.93 |===================================================================== 3 . 6.77 |=================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.35 |===================================================================== 2 . 5.73 |============================================================== 3 . 5.78 |=============================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.97 |===================================================================== 2 . 6.97 |===================================================================== 3 . 6.93 |===================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 8.70 |===================================================================== 2 . 8.64 |===================================================================== 3 . 8.24 |================================================================= NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 30.91 |================================================================== 2 . 31.23 |=================================================================== 3 . 31.74 |==================================================================== Renaissance 0.12 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better 1 . 11509.2 |================================================================= 2 . 11439.0 |================================================================= 3 . 11627.6 |================================================================== Renaissance 0.12 Test: ALS Movie Lens ms < Lower Is Better 1 . 9155.1 |=================================================================== 2 . 9131.1 |=================================================================== 3 . 9194.4 |=================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 53.03 |================================================================== 2 . 53.80 |=================================================================== 3 . 54.73 |==================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 5.076 |=============================================================== 2 . 5.476 |==================================================================== 3 . 5.351 |================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.761 |================================================================== 2 . 4.801 |================================================================== 3 . 4.936 |==================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.955 |================================================================== 2 . 7.135 |==================================================================== 3 . 7.039 |=================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 41.21 |==================================================================== 2 . 40.74 |=================================================================== 3 . 40.92 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 4.448 |============================================================ 2 . 5.020 |==================================================================== 3 . 4.550 |============================================================== Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.352 |================================================================= 2 . 2.360 |================================================================== 3 . 2.442 |==================================================================== Renaissance 0.12 Test: Apache Spark ALS ms < Lower Is Better 1 . 4005.4 |================================================================== 2 . 4042.6 |================================================================== 3 . 4087.8 |=================================================================== Renaissance 0.12 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better 1 . 2464.6 |=================================================================== 2 . 2443.8 |================================================================== 3 . 2443.5 |================================================================== Renaissance 0.12 Test: In-Memory Database Shootout ms < Lower Is Better 1 . 4367.8 |================================================================= 2 . 4329.4 |================================================================ 3 . 4504.2 |=================================================================== Renaissance 0.12 Test: Random Forest ms < Lower Is Better 1 . 811.7 |=================================================================== 2 . 820.0 |==================================================================== 3 . 814.6 |==================================================================== Renaissance 0.12 Test: Finagle HTTP Requests ms < Lower Is Better 1 . 2479.3 |================================================================= 2 . 2460.9 |================================================================= 3 . 2547.3 |=================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 312.39 |=================================================================== 2 . 312.65 |=================================================================== 3 . 311.98 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 285.83 |=================================================================== 2 . 286.32 |=================================================================== 3 . 285.80 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 77.64 |==================================================================== 2 . 77.65 |==================================================================== 3 . 77.36 |====================================================================