dss Tests for a future article. AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 256GB SK hynix HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 5.17.5-76051705-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 256GB SK hynix HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 5.17.5-76051705-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 1356.88 |================================================================== Blender 4.0 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 1022.29 |================================================================== b . 1018.42 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 1.99 |===================================================================== b . 1.96 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.00 |========================================= b . 3.33 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 1.92 |======================================= b . 3.40 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 1.98 |========================================= b . 3.32 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 1.99 |========================================== b . 3.29 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better a . 4.25 |===================================================================== b . 2.97 |================================================ Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 498.23 |=================================================================== b . 496.36 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.23 |===================================================================== b . 2.95 |======================================= PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.08 |===================================================================== b . 3.01 |========================================= PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.81 |===================================================================== b . 2.77 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.00 |===================================================================== b . 4.32 |============================================================ PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 4.93 |===================================================================== b . 4.59 |================================================================ Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 355.82 |================================================================ b . 370.04 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 24.21 |==================================================================== b . 23.88 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 24.25 |==================================================================== b . 23.97 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 10.86 |==================================================================== b . 10.89 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 11.32 |==================================================================== b . 11.15 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 40.99 |==================================================================== b . 41.03 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 41.07 |==================================================================== b . 41.12 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.16 |==================================================================== b . 9.23 |======================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.33 |==================================================================== b . 9.61 |========================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.14 |==================================================================== b . 11.20 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.14 |=================================================================== b . 11.36 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.38 |==================================================================== b . 11.10 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 8.96 |===================================================================== b . 8.61 |================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 57.27 |==================================================================== b . 55.56 |================================================================== Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 111.17 |=================================================================== b . 111.70 |=================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better a . 13337 |=================================================================== b . 13439 |==================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 21376 |==================================================================== b . 21279 |==================================================================== DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 7561 |===================================================================== b . 7544 |===================================================================== DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 15563 |=================================================================== b . 15904 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 20.51 |==================================================================== b . 20.62 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 167.25 |=================================================================== b . 167.51 |=================================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 12110 |================================================================= b . 12680 |==================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 8433 |===================================================================== b . 7917 |================================================================= DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 5182 |===================================================================== b . 5200 |===================================================================== DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 6029 |===================================================================== b . 5680 |================================================================= DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 9973 |=================================================================== b . 10073 |==================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 8108 |===================================================================== b . 8083 |===================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 7273 |===================================================================== b . 6983 |================================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 6936 |==================================================================== b . 7001 |===================================================================== DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 5170 |===================================================================== b . 5192 |===================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 7848 |===================================================================== b . 7807 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 6625 |===================================================================== b . 6619 |===================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6968 |===================================================================== b . 6978 |===================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 3791 |===================================================================== b . 3602 |================================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 3189 |==================================================================== b . 3242 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 1835 |================================================================= b . 1958 |===================================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1715 |===================================================================== b . 1690 |==================================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 963 |================================================================== b . 1000 |===================================================================== RabbitMQ 3.12.7 Scenario: 200 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: Simple 2 Publishers + 4 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 60 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 120 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 10 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better