2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 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 2403274-NE-9684XMARC65
9684x-march
2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
PRE:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-25-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480
a:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-25-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480
b:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-25-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480
BRL-CAD 7.38.2
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a ... 5927564 |================================================================
PRE . 5956612 |================================================================
b ... 5794040 |==============================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
PRE . 21.16 |==================================================================
a ... 20.78 |=================================================================
b ... 21.01 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
PRE . 242.29 |================================================================
a ... 247.55 |=================================================================
b ... 236.56 |==============================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
PRE . 424.06 |============================================================
a ... 436.25 |=============================================================
b ... 461.60 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
PRE . 765.55 |=================================================================
a ... 749.46 |================================================================
b ... 743.50 |===============================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
PRE . 12.58 |=============================================================
a ... 13.20 |================================================================
b ... 13.52 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
PRE . 4.05 |===================================================================
a ... 3.90 |=================================================================
b ... 4.01 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
PRE . 1652.23 |================================================================
a ... 1604.52 |==============================================================
b ... 1656.79 |================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
PRE . 1980.51 |===============================================================
a ... 2010.56 |================================================================
b ... 2010.60 |================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
PRE . 112.64 |=============================================================
a ... 114.26 |==============================================================
b ... 119.22 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
PRE . 39.68 |===============================================================
a ... 41.26 |==================================================================
b ... 35.92 |=========================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
PRE . 185.16 |===============================================================
a ... 176.36 |============================================================
b ... 190.74 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a ... 60.25 |============================================================
PRE . 65.88 |=================================================================
b ... 66.68 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a ... 273.68 |=================================================================
PRE . 275.34 |=================================================================
b ... 256.87 |=============================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a ... 88.93 |==================================================================
PRE . 87.72 |=================================================================
b ... 88.95 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a ... 399.46 |=================================================================
PRE . 400.03 |=================================================================
b ... 400.61 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a ... 118.88 |================================================================
PRE . 119.83 |=================================================================
b ... 118.77 |================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a ... 484.02 |================================================================
PRE . 493.31 |=================================================================
b ... 494.46 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a ... 140.49 |=================================================================
PRE . 140.59 |=================================================================
b ... 141.16 |=================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
b . 9.39 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
b . 60.69 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
b . 76.04 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
b . 95.91 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: VGG-16
images/sec > Higher Is Better
b . 127.18 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: VGG-16
images/sec > Higher Is Better
b . 135.78 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 23.06 |=================================================================
a ... 23.20 |==================================================================
b ... 23.24 |==================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 9.97 |==============================================================
a ... 10.58 |==================================================================
b ... 10.60 |==================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 20.93 |================================================================
a ... 21.53 |==================================================================
b ... 20.36 |==============================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 20.19 |===============================================================
a ... 20.84 |=================================================================
b ... 21.03 |==================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 21.59 |==================================================================
a ... 21.08 |================================================================
b ... 20.90 |================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 8.93 |==================================================================
a ... 9.01 |==================================================================
b ... 9.12 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 21.20 |==================================================================
a ... 20.77 |=================================================================
b ... 20.85 |=================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 8.72 |===============================================================
a ... 9.34 |===================================================================
b ... 9.28 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
PRE . 20.43 |================================================================
a ... 21.01 |==================================================================
b ... 21.01 |==================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 9.21 |===================================================================
a ... 8.91 |=================================================================
b ... 8.79 |================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 8.92 |==================================================================
a ... 9.09 |===================================================================
b ... 8.85 |=================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
PRE . 9.47 |===================================================================
a ... 9.33 |==================================================================
b ... 8.81 |==============================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 6.29 |=================================================================
a ... 6.45 |==================================================================
b ... 6.50 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 2.33 |==================================================================
a ... 2.33 |==================================================================
b ... 2.35 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 2.33 |===================================================================
a ... 2.31 |==================================================================
b ... 2.32 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 2.32 |===================================================================
a ... 2.31 |==================================================================
b ... 2.33 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 2.29 |==================================================================
a ... 2.33 |===================================================================
b ... 2.31 |==================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PRE . 2.31 |==================================================================
a ... 2.33 |===================================================================
b ... 2.32 |===================================================================
Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a ... 7.55 |===================================================================
PRE . 7.55 |===================================================================
b ... 7.48 |==================================================================
Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a ... 11.44 |=================================================================
PRE . 11.40 |=================================================================
b ... 11.61 |==================================================================
Blender 4.1
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a ... 18.08 |==================================================================
PRE . 18.03 |==================================================================
b ... 18.04 |==================================================================
Blender 4.1
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a ... 9.85 |==================================================================
PRE . 9.96 |===================================================================
b ... 9.94 |===================================================================
Blender 4.1
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a ... 67.66 |==================================================================
PRE . 67.38 |==================================================================
b ... 67.65 |==================================================================
Blender 4.1
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a ... 23.10 |==================================================================
PRE . 22.99 |==================================================================
b ... 23.11 |==================================================================
Timed Mesa Compilation 24.0
Time To Compile
Seconds < Lower Is Better
PRE . 14.66 |==================================================================
a ... 14.76 |==================================================================
b ... 14.71 |==================================================================
RocksDB 9.0
Test: Overwrite
Op/s > Higher Is Better
a ... 421616 |==============================================================
PRE . 421049 |==============================================================
b ... 439602 |=================================================================
RocksDB 9.0
Test: Random Read
Op/s > Higher Is Better
a ... 1108892776 |=============================================================
PRE . 1105306233 |=============================================================
b ... 1108469308 |=============================================================
RocksDB 9.0
Test: Update Random
Op/s > Higher Is Better
a ... 425687 |=================================================================
PRE . 421266 |================================================================
b ... 427391 |=================================================================
RocksDB 9.0
Test: Read While Writing
Op/s > Higher Is Better
a ... 26406662 |=============================================================
PRE . 27130363 |===============================================================
b ... 26135567 |=============================================================
RocksDB 9.0
Test: Read Random Write Random
Op/s > Higher Is Better
a ... 3643263 |================================================================
PRE . 3619142 |================================================================
b ... 3638929 |================================================================