3800XT Sat

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012128-HA-3800XTSAT00
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Bioinformatics 2 Tests
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December 12 2020
  2 Hours, 1 Minute
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December 12 2020
  1 Hour, 34 Minutes
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December 12 2020
  1 Hour, 9 Minutes
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3800XT Sat 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,,4.19.0-13-amd64 (x86_64),4.19.0-13-amd64 (x86_64),4.19.0-13-amd64 (x86_64) Display Server,,X Server 1.20.4,X Server 1.20.4,X Server 1.20.4 Display Driver,,modesetting 1.20.4,modesetting 1.20.4,modesetting 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" "Compile Bench - Test: Compile (MB/s)",HIB,844.54,853.74,860.27 "Compile Bench - Test: Initial Create (MB/s)",HIB,669.49,702.73,738.06 "Compile Bench - Test: Read Compiled Tree (MB/s)",HIB,4171.63,4088.29,4131.97 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,128159,127169, "Timed HMMer Search - Pfam Database Search (sec)",LIB,98.329,98.413,98.563 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,11.629,11.539,11.536 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.48965,4.49317,4.50496 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,8.53716,8.53066,8.62494 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.52954,2.52521,2.53552 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.21579,2.21160,2.21205 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,22.2703,22.2539,22.2635 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,4.90950,4.93803,4.91964 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.46414,6.47656,6.47200 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,20.0259,20.0112,20.0379 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.15886,6.12533,6.12171 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.07364,5.12100,5.02533 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3769.89,3739.63,3753.45 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2568.38,2579.11,2541.56 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3771.02,3764.83,3747.44 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2576.03,2545.55,2571.76 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.86878,4.88063,4.86841 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3770.04,3768.24,3752.15 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2534.48,2569.94,2566.17 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.79548,2.78793,2.77572 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,383032.552244,383539.030274, "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,47.869,47.241, "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,575,573,573 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,849,846,851 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,140,140,140 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,213,213,214 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1163,1165,1164 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,267,267,268 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1366,1366,1366 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,54.909,56.328,