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.

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December 12 2020
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December 12 2020
  1 Hour, 34 Minutes
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December 12 2020
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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: Processor: 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), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211 OS: Debian 10, Kernel: 4.19.0-13-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 2: Processor: 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), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211 OS: Debian 10, Kernel: 4.19.0-13-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 3: Processor: 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), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211 OS: Debian 10, Kernel: 4.19.0-13-amd64 (x86_64), Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768 Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 844.54 |================================================================== 2 . 853.74 |================================================================== 3 . 860.27 |=================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 128159 |=================================================================== 2 . 127169 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 98.33 |==================================================================== 2 . 98.41 |==================================================================== 3 . 98.56 |==================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 54.91 |================================================================== 2 . 56.33 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3770.04 |================================================================== 2 . 3768.24 |================================================================== 3 . 3752.15 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3771.02 |================================================================== 2 . 3764.83 |================================================================== 3 . 3747.44 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3769.89 |================================================================== 2 . 3739.63 |================================================================= 3 . 3753.45 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2534.48 |================================================================= 2 . 2569.94 |================================================================== 3 . 2566.17 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2568.38 |================================================================== 2 . 2579.11 |================================================================== 3 . 2541.56 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2576.03 |================================================================== 2 . 2545.55 |================================================================= 3 . 2571.76 |================================================================== GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better 1 . 140 |====================================================================== 2 . 140 |====================================================================== 3 . 140 |====================================================================== GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better 1 . 213 |====================================================================== 2 . 213 |====================================================================== 3 . 214 |====================================================================== GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better 1 . 267 |====================================================================== 2 . 267 |====================================================================== 3 . 268 |====================================================================== GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better 1 . 849 |====================================================================== 2 . 846 |====================================================================== 3 . 851 |====================================================================== GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better 1 . 1163 |===================================================================== 2 . 1165 |===================================================================== 3 . 1164 |===================================================================== GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better 1 . 575 |====================================================================== 2 . 573 |====================================================================== 3 . 573 |====================================================================== GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better 1 . 1366 |===================================================================== 2 . 1366 |===================================================================== 3 . 1366 |===================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 47.87 |==================================================================== 2 . 47.24 |=================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 383032.55 |================================================================ 2 . 383539.03 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6.15886 |================================================================== 2 . 6.12533 |================================================================== 3 . 6.12171 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.90950 |================================================================== 2 . 4.93803 |================================================================== 3 . 4.91964 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.48965 |================================================================== 2 . 4.49317 |================================================================== 3 . 4.50496 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.52954 |================================================================== 2 . 2.52521 |================================================================== 3 . 2.53552 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.86878 |================================================================== 2 . 4.88063 |================================================================== 3 . 4.86841 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.79548 |================================================================== 2 . 2.78793 |================================================================== 3 . 2.77572 |================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 11.63 |==================================================================== 2 . 11.54 |=================================================================== 3 . 11.54 |=================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.21579 |================================================================== 2 . 2.21160 |================================================================== 3 . 2.21205 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.53716 |================================================================= 2 . 8.53066 |================================================================= 3 . 8.62494 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 20.03 |==================================================================== 2 . 20.01 |==================================================================== 3 . 20.04 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 22.27 |==================================================================== 2 . 22.25 |==================================================================== 3 . 22.26 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.07364 |================================================================= 2 . 5.12100 |================================================================== 3 . 5.02533 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.46414 |================================================================== 2 . 6.47656 |================================================================== 3 . 6.47200 |================================================================== Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 4171.63 |================================================================== 2 . 4088.29 |================================================================= 3 . 4131.97 |================================================================= Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 669.49 |============================================================= 2 . 702.73 |================================================================ 3 . 738.06 |===================================================================