new new AMD Ryzen 7 5800X3D 8-Core testing with a ASUS ROG CROSSHAIR VIII HERO (4201 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4201 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6700 XT 12GB (2855/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 22.04, Kernel: 5.17.0-1013-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 B: Processor: AMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4201 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6700 XT 12GB (2855/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 22.04, Kernel: 5.17.0-1013-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 C: Processor: AMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4201 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6700 XT 12GB (2855/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 22.04, Kernel: 5.17.0-1013-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better A . 7.69 |==================================================================== B . 7.67 |==================================================================== C . 7.77 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better A . 0.13 |===================================================================== B . 0.13 |===================================================================== C . 0.13 |===================================================================== GravityMark 1.70 Resolution: 3840 x 2160 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 112.0 |==================================================================== B . 112.2 |==================================================================== C . 112.2 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better A . 14.62 |==================================================================== B . 14.61 |==================================================================== C . 14.67 |==================================================================== GravityMark 1.70 Resolution: 2560 x 1440 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 156.8 |=================================================================== B . 158.8 |==================================================================== C . 156.6 |=================================================================== GravityMark 1.70 Resolution: 3840 x 2160 - Renderer: OpenGL Frames Per Second > Higher Is Better A . 117.7 |==================================================================== B . 102.4 |=========================================================== C . 102.0 |=========================================================== GravityMark 1.70 Resolution: 2560 x 1440 - Renderer: OpenGL Frames Per Second > Higher Is Better A . 152.1 |==================================================================== B . 149.1 |=================================================================== C . 151.9 |==================================================================== GravityMark 1.70 Resolution: 1920 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 182.2 |=================================================================== B . 182.2 |=================================================================== C . 183.9 |==================================================================== GravityMark 1.70 Resolution: 1920 x 1200 - Renderer: OpenGL Frames Per Second > Higher Is Better A . 173.7 |=================================================================== B . 176.7 |==================================================================== C . 173.5 |=================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better A . 154342 |=================================================================== B . 153896 |=================================================================== C . 153680 |=================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better A . 0.06 |===================================================================== B . 0.06 |===================================================================== C . 0.06 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better A . 3.75 |===================================================================== B . 3.72 |==================================================================== C . 3.73 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better A . 0.01 |===================================================================== B . 0.01 |===================================================================== C . 0.01 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better A . 20.51 |=================================================================== B . 20.62 |=================================================================== C . 20.78 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better A . 13.26 |==================================================================== B . 13.04 |=================================================================== C . 13.13 |=================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better A . 1.72 |===================================================================== B . 1.69 |==================================================================== C . 1.69 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better A . 4.27 |===================================================================== B . 4.23 |==================================================================== C . 4.26 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better A . 0.67 |===================================================================== B . 0.67 |===================================================================== C . 0.67 |===================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 6.836 |================================================================== B . 6.977 |=================================================================== C . 7.045 |==================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 0.926 |=================================================================== B . 0.939 |==================================================================== C . 0.936 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 2.088 |=================================================================== B . 2.092 |=================================================================== C . 2.132 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 16.29 |==================================================================== B . 16.23 |==================================================================== C . 16.29 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.009 |=================================================================== B . 4.021 |==================================================================== C . 4.043 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 1.790 |================================================================== B . 1.791 |================================================================== C . 1.839 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 1.655 |=================================================================== B . 1.649 |=================================================================== C . 1.669 |==================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 21.84 |=================================================================== B . 21.84 |=================================================================== C . 22.18 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 2.34 |===================================================================== B . 2.33 |==================================================================== C . 2.35 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 1704.78 |================================================================== B . 1711.20 |================================================================== C . 1699.38 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.78 |===================================================================== B . 1.79 |===================================================================== C . 1.78 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 2235.70 |================================================================== B . 2235.16 |================================================================== C . 2242.72 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 1.78 |===================================================================== B . 1.75 |==================================================================== C . 1.77 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 2244.19 |================================================================= B . 2280.41 |================================================================== C . 2255.65 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 272.40 |=================================================================== B . 271.12 |=================================================================== C . 269.61 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 14.68 |=================================================================== B . 14.75 |==================================================================== C . 14.83 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 5.74 |==================================================================== B . 5.79 |===================================================================== C . 5.76 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 693.05 |=================================================================== B . 690.81 |=================================================================== C . 693.98 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 402.75 |=================================================================== B . 402.67 |=================================================================== C . 401.57 |=================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 183.6 |=================================================================== B . 183.4 |=================================================================== C . 185.0 |==================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 9.93 |===================================================================== B . 9.93 |===================================================================== C . 9.96 |===================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 276.05 |=================================================================== B . 274.23 |=================================================================== C . 276.21 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 14.48 |==================================================================== B . 14.58 |==================================================================== C . 14.48 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 28.06 |==================================================================== B . 27.97 |==================================================================== C . 27.87 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 142.54 |=================================================================== B . 143.01 |=================================================================== C . 143.49 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 561.57 |=================================================================== B . 561.87 |=================================================================== C . 561.76 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 14.24 |==================================================================== B . 14.23 |==================================================================== C . 14.23 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 448.43 |=================================================================== B . 448.21 |=================================================================== C . 450.23 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 8.91 |===================================================================== B . 8.92 |===================================================================== C . 8.88 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 8387.12 |================================================================== B . 8388.14 |================================================================== C . 8380.37 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 0.95 |===================================================================== B . 0.95 |===================================================================== C . 0.95 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 14502.79 |================================================================= B . 14566.07 |================================================================= C . 14544.50 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.55 |===================================================================== B . 0.54 |==================================================================== C . 0.55 |===================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 83267 |=================================================================== B . 83897 |==================================================================== C . 83276 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 74167 |==================================================================== B . 74425 |==================================================================== C . 74309 |==================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 52.71 |==================================================================== B . 52.83 |==================================================================== C . 52.80 |==================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 135.13 |=================================================================== B . 135.16 |=================================================================== C . 135.07 |=================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 356.17 |================================================================== B . 359.05 |=================================================================== C . 356.83 |=================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 167.16 |=================================================================== B . 167.12 |=================================================================== C . 166.83 |=================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 1337.39 |================================================================== B . 1339.69 |================================================================== C . 1338.38 |================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 428.52 |=================================================================== B . 429.02 |=================================================================== C . 427.73 |=================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 3.0 |==================================================================== B . 3.1 |====================================================================== C . 3.0 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 16.59 |==================================================================== B . 16.60 |==================================================================== C . 16.60 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 227.91 |================================================================== B . 230.56 |=================================================================== C . 228.37 |================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 88.65 |=================================================================== B . 89.78 |==================================================================== C . 88.97 |=================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 519.60 |=================================================================== B . 521.90 |=================================================================== C . 520.93 |=================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 57.27 |==================================================================== B . 57.37 |==================================================================== C . 57.30 |==================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better A . 156000000 |============================================================ B . 160400000 |============================================================== C . 166200000 |================================================================ srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better A . 478.9 |=================================================================== B . 476.5 |=================================================================== C . 484.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better A . 163.5 |=================================================================== B . 162.3 |=================================================================== C . 165.0 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 174.5 |=================================================================== B . 174.3 |=================================================================== C . 176.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better A . 533.5 |==================================================================== B . 528.0 |=================================================================== C . 528.3 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better A . 174.2 |==================================================================== B . 173.6 |==================================================================== C . 173.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better A . 530.0 |==================================================================== B . 521.7 |=================================================================== C . 526.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better A . 185.8 |==================================================================== B . 182.5 |=================================================================== C . 183.0 |=================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 158.6 |==================================================================== B . 154.0 |================================================================== C . 156.1 |=================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 77.0 |===================================================================== B . 74.8 |=================================================================== C . 75.1 |=================================================================== Apache CouchDB 3.2.2 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better A . 67.80 |================================================================== B . 69.70 |==================================================================== C . 69.82 |==================================================================== Apache CouchDB 3.2.2 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better A . 212.22 |================================================================== B . 214.84 |=================================================================== C . 215.29 |=================================================================== Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better A . 128.50 |=================================================================== B . 126.90 |================================================================== C . 127.85 |=================================================================== Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better A . 411.50 |=================================================================== B . 414.47 |=================================================================== C . 411.84 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Op/s > Higher Is Better A . 1082843 |================================================================== B . 1076162 |================================================================== C . 1074952 |================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better A . 55831112 |================================================================= B . 56057498 |================================================================= C . 55879267 |================================================================= Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better A . 579536 |=================================================================== B . 579961 |=================================================================== C . 582445 |=================================================================== Facebook RocksDB 7.5.3 Test: Sequential Fill Op/s > Higher Is Better A . 1382834 |================================================================== B . 1381278 |================================================================== C . 1380124 |================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Sync Op/s > Higher Is Better A . 18665 |==================================================================== B . 18653 |==================================================================== C . 18655 |==================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better A . 2359942 |================================================================== B . 2324387 |================================================================= C . 2347519 |================================================================== Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better A . 1946059 |================================================================= B . 1977670 |================================================================== C . 1965213 |================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: OpenGL Frames Per Second > Higher Is Better A . 175.2 |=================================================================== B . 177.7 |==================================================================== C . 174.8 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 479.0 |==================================================================== B . 480.7 |==================================================================== C . 480.6 |====================================================================