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
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
GraphicsMagick 1.3.33
Operation: Swirl
Iterations Per Minute > Higher Is Better
1 . 575 |======================================================================
2 . 573 |======================================================================
3 . 573 |======================================================================
GraphicsMagick 1.3.33
Operation: Rotate
Iterations Per Minute > Higher Is Better
1 . 849 |======================================================================
2 . 846 |======================================================================
3 . 851 |======================================================================
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: Resizing
Iterations Per Minute > Higher Is Better
1 . 1163 |=====================================================================
2 . 1165 |=====================================================================
3 . 1164 |=====================================================================
GraphicsMagick 1.3.33
Operation: Noise-Gaussian
Iterations Per Minute > Higher Is Better
1 . 267 |======================================================================
2 . 267 |======================================================================
3 . 268 |======================================================================
GraphicsMagick 1.3.33
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
1 . 1366 |=====================================================================
2 . 1366 |=====================================================================
3 . 1366 |=====================================================================
Coremark 1.0
CoreMark Size 666 - Iterations Per Second
Iterations/Sec > Higher Is Better
1 . 383032.55 |================================================================
2 . 383539.03 |================================================================
Compile Bench 0.6
Test: Compile
MB/s > Higher Is Better
1 . 844.54 |==================================================================
2 . 853.74 |==================================================================
3 . 860.27 |===================================================================
Compile Bench 0.6
Test: Initial Create
MB/s > Higher Is Better
1 . 669.49 |=============================================================
2 . 702.73 |================================================================
3 . 738.06 |===================================================================
Compile Bench 0.6
Test: Read Compiled Tree
MB/s > Higher Is Better
1 . 4171.63 |==================================================================
2 . 4088.29 |=================================================================
3 . 4131.97 |=================================================================
BRL-CAD 7.30.8
VGR Performance Metric
VGR Performance Metric > Higher Is Better
1 . 128159 |===================================================================
2 . 127169 |==================================================================
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 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 8.53716 |=================================================================
2 . 8.53066 |=================================================================
3 . 8.62494 |==================================================================
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: 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: 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_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 4.90950 |==================================================================
2 . 4.93803 |==================================================================
3 . 4.91964 |==================================================================
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 |==================================================================
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: 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_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 5.07364 |=================================================================
2 . 5.12100 |==================================================================
3 . 5.02533 |=================================================================
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: f32 - Engine: CPU
ms < Lower Is Better
1 . 2568.38 |==================================================================
2 . 2579.11 |==================================================================
3 . 2541.56 |=================================================================
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 Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2576.03 |==================================================================
2 . 2545.55 |=================================================================
3 . 2571.76 |==================================================================
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: 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 Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
1 . 2534.48 |=================================================================
2 . 2569.94 |==================================================================
3 . 2566.17 |==================================================================
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 HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
1 . 98.33 |====================================================================
2 . 98.41 |====================================================================
3 . 98.56 |====================================================================
Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
1 . 11.63 |====================================================================
2 . 11.54 |===================================================================
3 . 11.54 |===================================================================
Timed FFmpeg Compilation 4.2.2
Time To Compile
Seconds < Lower Is Better
1 . 47.87 |====================================================================
2 . 47.24 |===================================================================
SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
1 . 54.91 |==================================================================
2 . 56.33 |====================================================================