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 Blender 4.1 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better PRE . 7.55 |=================================================================== a ... 7.55 |=================================================================== b ... 7.48 |================================================================== Blender 4.1 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better PRE . 11.40 |================================================================= a ... 11.44 |================================================================= b ... 11.61 |================================================================== Blender 4.1 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better PRE . 18.03 |================================================================== a ... 18.08 |================================================================== b ... 18.04 |================================================================== Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better PRE . 9.96 |=================================================================== a ... 9.85 |================================================================== b ... 9.94 |=================================================================== Blender 4.1 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better PRE . 67.38 |================================================================== a ... 67.66 |================================================================== b ... 67.65 |================================================================== Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better PRE . 22.99 |================================================================== a ... 23.10 |================================================================== b ... 23.11 |================================================================== BRL-CAD 7.38.2 VGR Performance Metric VGR Performance Metric > Higher Is Better PRE . 5956612 |================================================================ a ... 5927564 |================================================================ b ... 5794040 |============================================================== 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 |=================================================================== RocksDB 9.0 Test: Overwrite Op/s > Higher Is Better PRE . 421049 |============================================================== a ... 421616 |============================================================== b ... 439602 |================================================================= RocksDB 9.0 Test: Random Read Op/s > Higher Is Better PRE . 1105306233 |============================================================= a ... 1108892776 |============================================================= b ... 1108469308 |============================================================= RocksDB 9.0 Test: Update Random Op/s > Higher Is Better PRE . 421266 |================================================================ a ... 425687 |================================================================= b ... 427391 |================================================================= RocksDB 9.0 Test: Read While Writing Op/s > Higher Is Better PRE . 27130363 |=============================================================== a ... 26406662 |============================================================= b ... 26135567 |============================================================= RocksDB 9.0 Test: Read Random Write Random Op/s > Higher Is Better PRE . 3619142 |================================================================ a ... 3643263 |================================================================ b ... 3638929 |================================================================ 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 PRE . 65.88 |================================================================= a ... 60.25 |============================================================ b ... 66.68 |================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better PRE . 275.34 |================================================================= a ... 273.68 |================================================================= b ... 256.87 |============================================================= TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better PRE . 87.72 |================================================================= a ... 88.93 |================================================================== b ... 88.95 |================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better PRE . 400.03 |================================================================= a ... 399.46 |================================================================= b ... 400.61 |================================================================= TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better PRE . 119.83 |================================================================= a ... 118.88 |================================================================ b ... 118.77 |================================================================ TensorFlow 2.16.1 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better PRE . 493.31 |================================================================= a ... 484.02 |================================================================ b ... 494.46 |================================================================= TensorFlow 2.16.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better PRE . 140.59 |================================================================= a ... 140.49 |================================================================= 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 |=================================================================== Timed Mesa Compilation 24.0 Time To Compile Seconds < Lower Is Better PRE . 14.66 |================================================================== a ... 14.76 |================================================================== b ... 14.71 |==================================================================