rembrandt openvino and other new

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208318-PTS-REMBRAND95
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A
August 31 2022
  2 Hours, 39 Minutes
b
August 31 2022
  2 Hours, 50 Minutes
C
August 31 2022
  2 Hours, 45 Minutes
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rembrandt openvino and other new 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","b","C" Processor,,AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads) Motherboard,,LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS) Chipset,,AMD Device 14b5,AMD Device 14b5,AMD Device 14b5 Memory,,16GB,16GB,16GB Disk,,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK Graphics,,AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz) Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,Qualcomm QCNFA765,Qualcomm QCNFA765,Qualcomm QCNFA765 OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.0.0-060000rc2daily20220824-generic (x86_64),6.0.0-060000rc2daily20220824-generic (x86_64),6.0.0-060000rc2daily20220824-generic (x86_64) Desktop,,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48),4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48),4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48) Vulkan,,1.3.211,1.3.211,1.3.211 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"A","b","C" "Mobile Neural Network - Model: nasnet (ms)",LIB,12.133,12.213,12.062 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.924,1.919,1.920 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.490,3.506,3.450 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,26.870,26.923,26.715 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.775,6.795,6.687 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.111,3.132,3.101 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.026,3.013,3.012 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,37.291,37.206,36.936 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.46,1.47,1.47 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2732.03,2714.63,2727.92 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1.00,1.01,1.00 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,3986.39,3955.07,3967.68 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,0.98,0.99,0.99 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,4081.09,4016.88,4035.11 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,124.89,127.28,126.20 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,31.98,31.38,31.65 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,3.36,3.4,3.39 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1190.38,1175.84,1180.58 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,210.28,212.48,210.84 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,19.00,18.80,18.95 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,157.75,158.99,158.97 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,25.31,25.11,25.11 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,17.91,18.04,18.06 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,223.30,221.62,221.46 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,334.45,335.81,336.73 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,23.84,23.74,23.68 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,216.86,216.63,216.91 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,18.40,18.42,18.40 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,4388.37,4408.38,4402.55 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.77,1.76,1.77 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,8512.51,8565.58,8563.92 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.92,0.92,0.92 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,55125,55395,55147 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,51203,51727,51406