bled
AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.


a: 

	Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350

	OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768

b: 

	Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350

	OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768


Timed Mesa Compilation 24.0
Time To Compile
Seconds < Lower Is Better
a . 40.84 |====================================================================
b . 40.32 |===================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 1.83 |==============================================
b . 2.72 |=====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 6.31  |=====================================
b . 11.61 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 4.02 |===========================================================
b . 4.73 |=====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 4.31 |============================================================
b . 4.98 |=====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 41.88 |===========================================================
b . 48.36 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 56.82 |===========================================================
b . 65.35 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 71.25 |============================================================
b . 80.60 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 12.44 |==================================================================
b . 12.73 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 5.39 |===============================================================
b . 5.95 |=====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 85.62 |==============================================================
b . 93.37 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 89.26 |===============================================================
b . 96.31 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 31.21 |==========================================================
b . 36.78 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.17  |=====================================================
b . 11.66 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 31.86 |=======================================================
b . 39.18 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.46  |=====================================================
b . 12.05 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 32.10 |=======================================================
b . 39.84 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.32 |========================================================
b . 12.53 |====================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 34.22 |===========================================================
b . 39.56 |====================================================================


Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 163.63 |================================================================
b . 169.98 |===================================================================


Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 249.06 |===================================================================
b . 249.84 |===================================================================


Blender 4.1
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 448.98 |==================================================================
b . 452.96 |===================================================================