ncnn mnn rembrandyt AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET46W 1.16 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET46W 1.16 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: 5.19.0-051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.47), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET46W 1.16 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: 5.19.0-051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.47), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET46W 1.16 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: 5.19.0-051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.47), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 D: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET46W 1.16 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: 5.19.0-051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.47), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 2.77 |===================================================================== B . 2.67 |=================================================================== C . 2.68 |=================================================================== D . 2.67 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 744.86 |=================================================================== B . 749.58 |=================================================================== C . 749.99 |=================================================================== D . 744.71 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 3.28 |===================================================================== B . 3.27 |===================================================================== C . 3.20 |=================================================================== D . 3.15 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 14.80 |================================================================= B . 14.67 |================================================================= C . 14.62 |================================================================ D . 15.43 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 16.58 |==================================================================== B . 16.36 |=================================================================== C . 16.46 |==================================================================== D . 16.14 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 8.75 |==================================================================== B . 8.89 |===================================================================== C . 8.71 |==================================================================== D . 8.78 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 5.97 |===================================================================== B . 5.52 |================================================================ C . 5.69 |================================================================== D . 5.60 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 4.24 |===================================================================== B . 4.06 |================================================================== C . 4.22 |===================================================================== D . 3.99 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 18.07 |================================================================== B . 18.48 |==================================================================== C . 18.40 |==================================================================== D . 18.48 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 5.24 |===================================================================== B . 5.04 |================================================================== C . 4.94 |================================================================= D . 4.93 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 3.65 |==================================================================== B . 3.68 |===================================================================== C . 3.66 |===================================================================== D . 3.59 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 6.28 |===================================================================== B . 5.97 |================================================================== C . 5.86 |================================================================ D . 5.45 |============================================================ NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 2.13 |================================================================ B . 2.20 |================================================================== C . 2.30 |===================================================================== D . 2.22 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 1.69 |=================================================================== B . 1.73 |===================================================================== C . 1.71 |==================================================================== D . 1.71 |==================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.39 |=================================================================== B . 2.46 |===================================================================== C . 2.34 |================================================================== D . 2.42 |==================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 2.24 |===================================================================== B . 2.10 |================================================================= C . 2.13 |================================================================== D . 2.12 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 9.50 |===================================================================== B . 9.38 |==================================================================== C . 9.44 |===================================================================== D . 9.36 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 37.11 |==================================================================== B . 36.96 |==================================================================== C . 36.97 |==================================================================== D . 36.86 |==================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.018 |==================================================================== B . 3.028 |==================================================================== C . 3.021 |==================================================================== D . 3.033 |==================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 3.135 |==================================================================== B . 3.092 |=================================================================== C . 3.119 |==================================================================== D . 3.135 |==================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 5.981 |=================================================================== B . 6.026 |==================================================================== C . 6.014 |==================================================================== D . 5.957 |=================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 26.85 |==================================================================== B . 26.91 |==================================================================== C . 26.96 |==================================================================== D . 26.88 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 3.408 |=================================================================== B . 3.466 |==================================================================== C . 3.402 |=================================================================== D . 3.360 |================================================================== Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 1.590 |==================================================================== B . 1.592 |==================================================================== C . 1.589 |==================================================================== D . 1.593 |==================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 3.04 |===================================================================== B . 2.99 |==================================================================== C . 3.05 |===================================================================== D . 2.93 |================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 258.19 |=================================================================== B . 257.95 |=================================================================== C . 258.16 |=================================================================== D . 259.50 |=================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 7.76 |===================================================================== B . 7.71 |===================================================================== C . 7.69 |==================================================================== D . 7.71 |===================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.29 |==================================================================== B . 15.09 |=================================================================== C . 15.16 |=================================================================== D . 15.14 |=================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 21.39 |=================================================================== B . 21.67 |==================================================================== C . 21.29 |=================================================================== D . 21.30 |=================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 19.98 |=================================================================== B . 20.18 |==================================================================== C . 20.03 |=================================================================== D . 19.86 |=================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 8.15 |==================================================================== B . 8.18 |==================================================================== C . 8.24 |===================================================================== D . 8.17 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 9.95 |===================================================================== B . 9.98 |===================================================================== C . 9.99 |===================================================================== D . 9.84 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 47.36 |==================================================================== B . 47.48 |==================================================================== C . 47.30 |==================================================================== D . 47.27 |==================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 10.99 |==================================================================== B . 10.92 |==================================================================== C . 10.86 |=================================================================== D . 10.87 |=================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.92 |===================================================================== B . 0.91 |==================================================================== C . 0.90 |==================================================================== D . 0.90 |==================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 6.02 |===================================================================== B . 5.91 |=================================================================== C . 6.05 |===================================================================== D . 5.92 |==================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 2.96 |==================================================================== B . 2.88 |================================================================== C . 3.01 |===================================================================== D . 2.85 |================================================================= NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.41 |===================================================================== B . 2.40 |==================================================================== C . 2.42 |===================================================================== D . 2.40 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.02 |===================================================================== B . 3.00 |==================================================================== C . 3.04 |===================================================================== D . 3.02 |===================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.68 |===================================================================== B . 3.64 |==================================================================== C . 3.70 |===================================================================== D . 3.65 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 13.01 |==================================================================== B . 13.03 |==================================================================== C . 12.89 |=================================================================== D . 12.78 |===================================================================