sss AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 D: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 GravityMark 1.70 Resolution: 1600 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 34.7 |================================================================== B . 36.4 |===================================================================== C . 36.1 |==================================================================== D . 36.5 |===================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 31.3 |================================================================== B . 31.9 |==================================================================== C . 31.7 |=================================================================== D . 32.5 |===================================================================== GravityMark 1.70 Resolution: 1920 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 30.9 |=================================================================== B . 30.8 |=================================================================== C . 31.2 |=================================================================== D . 31.9 |===================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 52136 |=================================================================== B . 51004 |================================================================= C . 51734 |================================================================== D . 53201 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 46295 |================================================================== B . 45028 |================================================================ C . 46216 |================================================================= D . 47987 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 967.88 |================================================================ B . 1001.85 |================================================================== C . 972.31 |================================================================ D . 944.06 |============================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 87.01 |================================================================= B . 90.52 |==================================================================== C . 88.43 |================================================================== D . 87.09 |================================================================= Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 22.97 |================================================================= B . 23.96 |==================================================================== C . 23.29 |================================================================== D . 22.70 |================================================================ Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 278.43 |================================================================= B . 286.48 |=================================================================== C . 279.95 |================================================================= D . 277.96 |================================================================= Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 119.12 |================================================================ B . 125.36 |=================================================================== C . 119.43 |================================================================ D . 119.39 |================================================================ Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 94.16 |================================================================== B . 97.36 |==================================================================== C . 94.02 |================================================================== D . 93.04 |================================================================= Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 12.11 |================================================================== B . 12.52 |==================================================================== C . 11.93 |================================================================= D . 11.92 |================================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.947 |================================================================== B . 1.991 |==================================================================== C . 1.932 |================================================================== D . 1.934 |================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 3.549 |================================================================== B . 3.665 |==================================================================== C . 3.475 |================================================================ D . 3.448 |================================================================ Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 27.37 |=================================================================== B . 27.81 |==================================================================== C . 26.98 |================================================================== D . 26.77 |================================================================= Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 6.817 |================================================================ B . 7.187 |==================================================================== C . 6.706 |=============================================================== D . 6.639 |=============================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 3.150 |================================================================= B . 3.294 |==================================================================== C . 3.102 |================================================================ D . 3.065 |=============================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.087 |================================================================== B . 3.169 |==================================================================== C . 3.031 |================================================================= D . 3.005 |================================================================ Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 37.79 |================================================================== B . 38.92 |==================================================================== C . 37.20 |================================================================= D . 36.94 |================================================================= OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.45 |=================================================================== B . 1.43 |================================================================== C . 1.46 |==================================================================== D . 1.49 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 2763.26 |================================================================= B . 2787.01 |================================================================== C . 2727.69 |================================================================= D . 2689.39 |================================================================ OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 0.99 |==================================================================== B . 0.99 |==================================================================== C . 1.01 |===================================================================== D . 1.01 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 4034.77 |================================================================== B . 4019.29 |================================================================== C . 3971.69 |================================================================= D . 3938.80 |================================================================ OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 0.97 |=================================================================== B . 0.98 |==================================================================== C . 0.99 |==================================================================== D . 1.00 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 4116.85 |================================================================== B . 4073.57 |================================================================= C . 4021.72 |================================================================ D . 3993.78 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 124.43 |================================================================= B . 125.33 |================================================================== C . 127.40 |=================================================================== D . 128.19 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 32.10 |==================================================================== B . 31.87 |==================================================================== C . 31.36 |================================================================== D . 31.16 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 3.35 |=================================================================== B . 3.35 |=================================================================== C . 3.38 |==================================================================== D . 3.43 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 1193.54 |================================================================== B . 1192.20 |================================================================== C . 1183.40 |================================================================= D . 1166.07 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 209.35 |================================================================= B . 212.74 |=================================================================== C . 213.68 |=================================================================== D . 214.22 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 19.08 |==================================================================== B . 18.78 |=================================================================== C . 18.70 |=================================================================== D . 18.65 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 157.97 |================================================================== B . 158.50 |================================================================== C . 159.06 |================================================================== D . 160.26 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 25.27 |==================================================================== B . 25.18 |==================================================================== C . 25.10 |==================================================================== D . 24.92 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 17.94 |=================================================================== B . 18.01 |==================================================================== C . 18.07 |==================================================================== D . 18.11 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 222.80 |=================================================================== B . 222.02 |=================================================================== C . 221.33 |=================================================================== D . 220.85 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 333.97 |================================================================== B . 336.33 |================================================================== C . 336.84 |================================================================== D . 339.75 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 23.88 |==================================================================== B . 23.71 |==================================================================== C . 23.67 |=================================================================== D . 23.47 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 215.16 |================================================================= B . 213.75 |================================================================ C . 214.30 |================================================================ D . 223.22 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 18.55 |==================================================================== B . 18.66 |==================================================================== C . 18.62 |==================================================================== D . 17.87 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 4352.27 |================================================================ B . 4453.44 |================================================================== C . 4427.36 |================================================================== D . 4456.77 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 1.79 |===================================================================== B . 1.74 |=================================================================== C . 1.76 |==================================================================== D . 1.74 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 8485.15 |================================================================= B . 8596.39 |================================================================== C . 8614.09 |================================================================== D . 8651.50 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.93 |===================================================================== B . 0.91 |==================================================================== C . 0.91 |==================================================================== D . 0.91 |==================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 2.1 |=================================================================== B . 2.2 |====================================================================== C . 2.2 |====================================================================== D . 2.1 |===================================================================