3800xt nn AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 10 via the Phoronix Test Suite. ,,"1","2","3" Processor,,AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads) Motherboard,,MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS),MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS),MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,16GB,16GB,16GB Disk,,128GB INTEL SSDPEKKW128G7,128GB INTEL SSDPEKKW128G7,128GB INTEL SSDPEKKW128G7 Graphics,,Sapphire AMD Radeon HD 4650,Sapphire AMD Radeon HD 4650,Sapphire AMD Radeon HD 4650 Audio,,AMD RV710/730,AMD RV710/730,AMD RV710/730 Network,,Intel I211,Intel I211,Intel I211 OS,,Debian 10,Debian 10,Debian 10 Kernel,,4.19.0-17-amd64 (x86_64),4.19.0-17-amd64 (x86_64),4.19.0-17-amd64 (x86_64) Display Server,,X Server 1.20.4,X Server 1.20.4,X Server 1.20.4 Compiler,,GCC 8.3.0,GCC 8.3.0,GCC 8.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768 ,,"1","2","3" "Renaissance - Test: Scala Dotty (ms)",LIB,694.4,766.7,750.9 "Renaissance - Test: Random Forest (ms)",LIB,680.2,683.9,672.2 "Renaissance - Test: ALS Movie Lens (ms)",LIB,7176.6,7141.8,7153.2 "Renaissance - Test: Apache Spark ALS (ms)",LIB,2052.5,2027.5,1977.4 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,1925.6,1941.5,1937.6 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,8181.2,8109.3,8110.2 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,3623.6,3492.3,3421.7 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1729.8,1742.2,1736.4 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,3582.9,3640.5,3472.0 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,10511.5,10514.2,10574.6 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1670.4,1692.6,1659.3 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.861,2.861,2.856 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.308,4.343,4.298 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,24.409,24.414,24.688 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.721,6.791,6.725 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.822,3.898,4.065 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.197,3.226,3.196 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,32.807,32.924,32.795 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,17.20,17.13,17.39 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.41,5.40,5.42 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.59,4.59,4.59 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.31,4.32,4.30 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,4.29,4.26,4.27 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.24,7.22,7.23 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.86,1.83,1.83 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,15.48,15.43,15.45 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,65.35,66.67,65.82 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,17.10,17.08,17.10 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,13.56,13.49,14.01 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,28.11,27.64,27.57 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,26.96,27.18,26.95 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,22.32,22.19,22.29 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,10.54,10.19,10.18 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,2877.780,2881.720,2888.970 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,247.988,248.411,249.550 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,61.046,61.596,60.903 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,219.772,217.468,225.877