Tests for a future article. 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 12 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 2403264-NE-NEWA1182941
newa
Tests for a future article. 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 12 via the Phoronix Test Suite.
a:
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: 2 x 8GB DDR4-3200MT/s CL16-18-18 D4-3200, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211
OS: Debian 12, Kernel: 6.1.0-18-amd64 (x86_64), Display Server: X Server 1.20.11, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
b:
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: 2 x 8GB DDR4-3200MT/s CL16-18-18 D4-3200, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211
OS: Debian 12, Kernel: 6.1.0-18-amd64 (x86_64), Display Server: X Server 1.20.11, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 27.08 |====================================================================
b . 27.15 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 8.89 |=====================================================================
b . 8.92 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 4.46 |=====================================================================
b . 4.45 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 96.96 |====================================================================
b . 97.01 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 4.12 |=====================================================================
b . 4.13 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 8.96 |=====================================================================
b . 8.96 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 94.10 |====================================================================
b . 93.99 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 28.90 |====================================================================
b . 28.92 |====================================================================
Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 224.11 |===================================================================
b . 223.28 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.10 |====================================================================
b . 9.17 |=====================================================================
Blender 4.1
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 190.55 |===================================================================
b . 190.80 |===================================================================
Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 151.30 |==================================================================
b . 153.91 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 29.17 |====================================================================
b . 29.36 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 73.20 |====================================================================
b . 73.38 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 1.62 |=====================================================================
b . 1.61 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 56.76 |====================================================================
b . 55.62 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 29.31 |====================================================================
b . 29.20 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 37.60 |====================================================================
b . 37.72 |====================================================================
Timed Mesa Compilation 24.0
Time To Compile
Seconds < Lower Is Better
a . 36.76 |==================================================================
b . 37.68 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 4.86 |=====================================================================
b . 4.85 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 6.32 |=====================================================================
b . 6.33 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 14.72 |====================================================================
b . 14.77 |====================================================================