octty Apple M2 testing with a Apple MacBook Air (13 h M2 2022) and llvmpipe on Arch rolling via the Phoronix Test Suite. a: Processor: Apple M2 @ 2.42GHz (4 Cores / 8 Threads), Motherboard: Apple MacBook Air (13 h M2 2022), Chipset: Apple Silicon, Memory: 8GB, Disk: 251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z, Graphics: llvmpipe, Network: Broadcom Device 4433 + Broadcom BRCM4387 Bluetooth OS: Arch rolling, Kernel: 6.3.0-asahi-13-1-ARCH (aarch64), Desktop: KDE Plasma 5.27.6, Display Server: X Server 1.21.1.8, OpenGL: 4.5 Mesa 23.1.3 (LLVM 15.0.7 128 bits), Compiler: GCC 12.1.0 + Clang 15.0.7, File-System: ext4, Screen Resolution: 2560x1600 b: Processor: Apple M2 @ 2.42GHz (4 Cores / 8 Threads), Motherboard: Apple MacBook Air (13 h M2 2022), Chipset: Apple Silicon, Memory: 8GB, Disk: 251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z, Graphics: llvmpipe, Network: Broadcom Device 4433 + Broadcom BRCM4387 Bluetooth OS: Arch rolling, Kernel: 6.3.0-asahi-13-1-ARCH (aarch64), Desktop: KDE Plasma 5.27.6, Display Server: X Server 1.21.1.8, OpenGL: 4.5 Mesa 23.1.3 (LLVM 15.0.7 128 bits), Compiler: GCC 12.1.0 + Clang 15.0.7, File-System: ext4, Screen Resolution: 2560x1600 c: Processor: Apple M2 @ 2.42GHz (4 Cores / 8 Threads), Motherboard: Apple MacBook Air (13 h M2 2022), Chipset: Apple Silicon, Memory: 8GB, Disk: 251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z, Graphics: llvmpipe, Network: Broadcom Device 4433 + Broadcom BRCM4387 Bluetooth OS: Arch rolling, Kernel: 6.3.0-asahi-13-1-ARCH (aarch64), Desktop: KDE Plasma 5.27.6, Display Server: X Server 1.21.1.8, OpenGL: 4.5 Mesa 23.1.3 (LLVM 15.0.7 128 bits), Compiler: GCC 12.1.0 + Clang 15.0.7, File-System: ext4, Screen Resolution: 2560x1600 QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 19836.6 |============================================================= b . 21315.1 |================================================================== c . 21018.9 |================================================================= QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 4360.5 |=================================================================== b . 4345.9 |================================================================== c . 4385.1 |=================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 7.529 |==================================================================== b . 7.584 |==================================================================== c . 7.536 |==================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 137.05 |=================================================================== b . 135.22 |================================================================== c . 134.36 |================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better a . 382.86 |=================================================================== b . 345.19 |============================================================ c . 343.33 |============================================================ NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 10.23 |================================================================ b . 10.90 |==================================================================== c . 10.61 |================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 2.04 |===================================================================== b . 2.05 |===================================================================== c . 2.05 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 1.98 |===================================================================== b . 1.90 |================================================================== c . 1.89 |================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 1.59 |===================================================================== b . 1.60 |===================================================================== c . 1.58 |==================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 3.18 |============================================================ b . 3.11 |=========================================================== c . 3.63 |===================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 0.77 |================================================================ b . 0.80 |=================================================================== c . 0.83 |===================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 9.29 |===================================================================== b . 9.28 |===================================================================== c . 9.21 |==================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 27.55 |=================================================================== b . 27.54 |=================================================================== c . 27.88 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 5.33 |================================================================= b . 5.33 |================================================================= c . 5.66 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 7.82 |==================================================================== b . 7.89 |===================================================================== c . 7.88 |===================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 13.60 |=================================================================== b . 13.35 |================================================================== c . 13.72 |==================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 12.67 |=================================================================== b . 12.63 |=================================================================== c . 12.88 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 7.29 |================================================================= b . 7.71 |===================================================================== c . 7.46 |=================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 5.05 |===================================================================== b . 5.00 |==================================================================== c . 4.94 |=================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 280.14 |=================================================================== b . 281.38 |=================================================================== c . 280.32 |=================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 1.70 |===================================================================== b . 1.71 |===================================================================== c . 1.69 |==================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.970 |==================================================================== b . 1.694 |========================================================== c . 1.710 |=========================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 3.784 |==================================================================== b . 3.445 |============================================================== c . 3.450 |============================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 6.290 |==================================================================== b . 5.868 |=============================================================== c . 5.895 |================================================================ VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 14.54 |==================================================================== b . 14.06 |================================================================== c . 14.05 |================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better b . 2.00 |===================================================================== c . 1.98 |====================================================================